From alberto.antonietti at polimi.it Mon May 1 17:49:53 2023 From: alberto.antonietti at polimi.it (Alberto Antonietti) Date: Mon, 1 May 2023 21:49:53 +0000 Subject: Connectionists: Last week to apply for Neuromatch Academy courses 2023! Message-ID: Dear colleagues, ? ? Last Chance to Apply for Neuromatch Academy 2023! ? The deadline for applications was extended, but all applications close the next Monday, May 8th! ? We are especially looking for expert Teaching Assistants (TAs) for project and lead TAs roles! Duties are described here: https://academy.neuromatch.io/roles ? Benefits of joining as a TA include: * Opportunity to develop teaching, problem-solving, and communication skills * Formal TA training * Paid position ? School dates: July 10th - July 28th, 2023. Apply here to become student or teaching assistant: https://academy.neuromatch.io ? *NMA - Computational Neuroscience* Flagship course covering contemporary computational neuroscience modeling and analysis techniques. Content: https://compneuro.neuromatch.io ? *NMA - Deep Learning* In-depth advanced materials, ideal for graduate students and postdocs wishing to add computational techniques to their neuroscience research, or for individuals looking to dive into the Deep Learning world. Content: https://deeplearning.neuromatch.io ? *CMA - Computational Tools for Climate Science (17-28th July)* The newest course, a wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science. Check out the CMA website: https://academy.climatematch.io ? Access the *Application Portal* and apply before the *deadline (May 8th)* ! ? Apply here to become student or teaching assistant: https://academy.neuromatch.io ? *What is Neuromatch Academy?* Neuromatch Academy (NMA) teaches computational techniques crucial for success in academia and industry. It serves thousands of students each year with hundreds of teaching assistants (TA). Students learn by solving problems in small groups and by running group projects; they learn in many languages in an incredibly supportive environment. ? *What?s in a course?* Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. Accepted students are placed into TA-led pods (groups) using the Neuromatch algorithm, which matches students with common interests who are in the same timezone and their preferred language for instruction. Students also receive personalized support as they work through hands-on tutorials and collaborate on course projects. [Please note that course participation requires active attendance and attention of the students for 3 weeks.] ? *Why should you apply to NMA?* This program provides a dynamic learning experience that fuses neuroscience and computational techniques. Collaborate with a global community of experts and peers, hone your problem-solving skills, and build a supportive network that celebrates inclusivity and accessibility in science education. Don't miss out on this unique opportunity to advance your knowledge and skills. Apply to unlock your potential and propel your career forward! ? *What does it cost?* Neuromatch Academy?s mission is to make education affordable to everybody, no matter their financial background. We do this by pricing our courses significantly lower than other summer schools, adjusting for national economic factors, and allowing students to pay what they can when those adjustments are insufficient. ? Please see the website https://academy.neuromatch.io for additional information and volunteer opportunities! ? Warm Regards, ? Neuromatch Academy team ? --? Alberto Antonietti, Ph.D. Assistant Professor ? Nearlab - NeuroEngineering And medical Robotics Laboratory Department of Electronics, Information and Bioengineering Politecnico di Milano http://www.nearlab.polimi.it/ From marcin at amu.edu.pl Mon May 1 22:53:43 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 2 May 2023 04:53:43 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=2C=2C16th_International?= =?utf-8?q?_Symposium_on_Multimedia_Applications_and_Processing_=28MMAP?= =?utf-8?q?=E2=80=9923=29=3B_May_23_deadline=3B_Web_of_Science=3B_IEEE=3A_?= =?utf-8?q?=2357573?= In-Reply-To: References: Message-ID: CALL FOR PAPERS 16th International Symposium on Multimedia Applications and Processing (MMAP?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/css/mmap Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* Background and goals Multimedia, computer vision, graphics, and machine learning have become ubiquitous in modern information systems, creating new challenges for detection, recognition, indexing, access, search, retrieval, automated understanding, and processing, resulting in many applications based on image and signal processing, machine learning and various multimedia technologies. Recent advances in pervasive computers, networks, telecommunications, and information technology, along with the proliferation of multimedia mobile devices, have stimulated the rapid development of intelligent applications. These key technologies, using virtual reality, augmented reality, and computational intelligence, are creating a recent multimedia revolution that will significantly impact a broad spectrum of consumer, business, healthcare, educational and governmental domains. Advancements in artificial intelligence resulted in the rapid growth of both methods and applications of machine learning approaches in computer vision, image processing, and analysis. The development of parallel computing capabilities in the first decade of the 21st century that boosted the development of deep neural networks became a real game-changer in machine vision. The workshop covers a range of AI-based theories, methods, algorithms, technologies, and systems for diversified and heterogeneous digital multimedia, imaging, computer graphics and machine learning areas. The Multimedia Applications and Processing (MMAP) will provide an opportunity for researchers and professionals to discuss present and future challenges and potential collaboration for future progress in these fields. The MMAP Symposium welcomes submissions of original papers concerning all aspects of multimedia, vision, and graphics, ranging from concepts and theoretical developments to advanced technologies and innovative applications. MMAP invites original, previously unpublished contributions that are not submitted concurrently to a journal or another conference. We welcome papers covering innovative applications, practical usage, and theoretical aspects of the abovementioned trends. Papers acceptance and publication will be judged based on their relevance to the symposium theme, clarity of presentation, originality, and accuracy of results and proposed solutions. Topics Topics of interest are related (but are not limited) to the following areas: - multimedia processing: + audio, image and video joint processing, + cloud computing and multimedia applications, + multimedia file systems and databases: indexing, recognition and retrieval, + multimedia in internet and web-based systems, + human computer interaction, interfaces and multimedia, + distributed multimedia systems, + network and operating system support for multimedia, + machine learning for mobile network architectures, + trends in multimedia information processing, + multimedia ontology and perception for multimedia users, - machine vision, image processing and analysis: + image enhancement, + linear and non-linear filtering, + object detection and segmentation, + shape analysis, + scene understanding, analysis and modeling + image acquisition, + stereo and multispectral imaging, + embedded vision, + robotic vision, + image models and transforms, + modeling of human visual perception, + visual knowledge representation and reasoning, - visualization and computer graphics: + computational geometry, + data-driven image synthesis, + graphical data presentation, + computer-aided graphic arts and animation, + virtual and augmented reality, + entertainment, personalized systems and games, - machine learning for multimedia, vision and graphics: + pattern recognition, + deep neural models, + convolutional networks, + recurrent networks, + graph networks, + generative adversarial networks, + neural style transfer, + deep reinforcement learning, + big data and multimedia systems, + machine learning and computational intelligence for information retrieval in multimedia sustems, + data mining, warehousing and knowledge extraction, - applications: + innovative uses of graphic and vision systems, + image retrieval, + autonomous driving systems, + remote sensing, + digital microscopy, + security and surveyance systems, + document analysis, + OCR systems, + medical applications and computational biology, + security in multimedia applications: authentication and watermarking, + e-learning, e-commerce and e-society applications, + intelligent multimedia network applications, + future trends in multimedia systems technologies and applications. Best Paper Award A best paper award will be made for work of high quality presented at the MMAP Symposium. Award comprises a certificate for the authors and will be announced on time of conference. Selected papers will be invited to high IF journals organized for the participants of MMAP. Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 MMAP Committee: https://fedcsis.org/sessions/css/mmap/committee From massimo.srt at gmail.com Mon May 1 10:35:32 2023 From: massimo.srt at gmail.com (Massimo Sartori) Date: Mon, 1 May 2023 16:35:32 +0200 Subject: Connectionists: [meetings] IEEE ICRA 2023 Workshop - Neuromechanics meets Deep Learning - Call for Posters Message-ID: ================================= - IEEE ICRA 2023, London, UK - Workshop day and time: May 29th at 9:00AM. - Workshop number: MW19 - Title: NEUROMECHANICS MEETS DEEP LEARNING. New Opportunities & Avenues for Robotics and Human-Robot Interaction. - Website: https://sites.google.com/view/myosuite/myosymposium/icra23 ================================= The goal of this workshop is to bring together experts at the intersection between Neuromechanics, Robotics, and Machine Learning to fuel discussion and share results on advancements how we can endow intelligence within digital representations of the human musculoskeletal system with interacting robots. INVITED SPEAKERS: On these topics we?ll have an extraordinary set of invited speakers: - Emo Todorov, U of Washington. - Pulkit Agrawal, MIT. - Nidhi Seethapathi, MIT. - Ajay Seth, TU Delft. - Francisco Valero-Cuevas, USC. JOIN OUR HANDS-ON TUTORIAL: We will provide a hands-on tutorial on how to operate our recently developed open source framework MyoSuite , which enables merging reinforcement learning with large-scale, computationally fast musculoskeletal models. You can already try out some of our MyoSuite models in real-time directly from the web: https://sites.google.com/view/myosuite/myosim?authuser=0 CALL FOR POSTERS: Our workshop will feature a poster session. If you have results that are aligned with our workshop theme and you?d like to present them within our workshop, please contact us via email (guillaume.durandau[at]mcgill.ca) with [ICRA Poster] as the subject. Regards, Massimo Sartori On behalf of the workshop organizing team: - Vikash Kumar, FAIR-MetaAI - Vittorio Caggiano, FAIR-MetaAI - Seungmoon Song, Northeaster Univ. - Guillaume Durandau, McGill Univ. - Huawei Wang, U. of Twente - Massimo Sartori, U. of Twente --- Massimo Sartori Professor and Chair, Neuromechanical Engineering PI, Neuromechanical Modeling and Engineering Lab University of Twente, TechMed Centre, Robotics Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube [image: A picture containing icon Description automatically generated] -------------- next part -------------- An HTML attachment was scrubbed... URL: From almayalanis at gmail.com Mon May 1 13:09:36 2023 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Mon, 1 May 2023 11:09:36 -0600 Subject: Connectionists: Special session on Computational Intelligence for Fault Detection and Isolation at 2023 ISSCI Message-ID: ---------------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- Dear colleague, you are cordially invite to participate in Special Session on Computational Intelligence for Fault Detection and Isolation (CIFDI) https://attend.ieee.org/ssci-2023/special-session-computational-intelligence-for-fault-detection-and-isolation/ *at* *2023 IEEE Symposium Series on Computational Intelligence* *December 5th ? 8th 2023, Mexico City, Mexico* https://attend.ieee.org/ssci-2023/ The 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023) is a flagship annual meeting organized by the IEEE Computational Intelligence Society. It serves as a primary forum for multidisciplinary research in computational intelligence. Computational intelligence has become increasingly important for fault detection and isolation in a wide range of systems, including manufacturing processes, power grids, and transportation systems. By analyzing large volumes of data generated by these systems, machine learning algorithms can identify patterns and detect anomalies that might indicate the presence of faults or errors. These algorithms can also be used to predict when faults might occur, allowing for preventative maintenance and reducing the risk of downtime or safety hazards. In addition, computational intelligence techniques can aid in isolating the cause of a fault, which can be crucial for efficient repairs and minimizing the impact on the overall system As such, computational intelligence for fault detection and isolation represents a promising approach for improving the safety, reliability, and efficiency of complex systems. *Submission instructions* Contributions have to be submitted through the regular SSCI submission system at https://attend.ieee.org/ssci-2023/author/ Paper Submissions: *June 30, 2023* *Special Session Chairs* *Alma Y. Alanis* alma.alanis at academicos.udg.mx Universidad de Guadalajara, Mexico *Juan Anzurez-Marin* j.anzurez at ieee.org Universidad Michoacana de San Nicolas de Hidalgo, Mexico -------------- next part -------------- An HTML attachment was scrubbed... URL: From kai.sauerwald at fernuni-hagen.de Tue May 2 02:38:18 2023 From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald) Date: Tue, 2 May 2023 08:38:18 +0200 Subject: Connectionists: Call for Papers: 21st International Workshop on Nonmonotonic Reasoning (NMR) Message-ID: <4d339423-9114-6a2f-e0bd-e8e1ab165e82@fernuni-hagen.de> * Apologies if you receive multiple copies of this call * ======================================================================== Call for Papers NMR 2023 September 2-4, 2023 Rhodes, Greece Co-located with KR 2023 * Deadlines: 2 June & 9 June 2023* ======================================================================== The 21st International Workshop on Nonmonotonic Reasoning (NMR) http://nmr.krportal.org/2023/ September 2-4, 2023, Rhodes, Greece ======================================================================== NMR 2023 will be co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023), https://kr.org/KR2023/. NMR is the premier forum for results in the area of nonmonotonic reasoning. Its aim is to bring together active researchers in this broad field within knowledge representation and reasoning (KRR), including belief revision, uncertain reasoning, reasoning about actions, planning, logic programming, preferences, deontic reasoning, argumentation, causality, and many other related topics including systems and applications (see NMR page, https://nmr.cs.tu-dortmund.de/). NMR has a long history - it started in 1984 and has been held every two years until 2020 and then every year. Recent previous NMR workshops were held in Haifa (2022), Hanoi (virtual, 2021), in Rhodes (virtual, 2020), Tempe (2018) and Cape Town (2016). Since 2020 NMR is being held annually. NMR workshops are usually co-located with the KR conferences (kr.org). As in previous editions, NMR 2023 aims to foster connections between the different subareas of nonmonotonic reasoning and provide a forum for emerging topics. We especially invite papers on systems and applications, as well as position papers and papers addressing benchmark issues. The workshop will be structured by topical sessions fitting to the scopes of accepted papers. The workshop will be held in Rhodes, Greece, in September 2-4, 2023. Workshop activities will include invited talks and presentations of technical papers. -- Invited Speakers -- * Diego Calvanese Free University of Bozen-Bolzano, Italy * Juha Kontinen University of Helsinki, Finland * Anni-Yasmin Turhan Dresden University of Technology, Germany The talk by Anni-Yasmin Turhan is a joint keynote with DL 2023. -- Submission Information -- There are two types of submissions: ** Full papers ** Full papers should be at most 10 pages including references, figures and appendices, if any. Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page and the submission at NMR falls within the authors? rights. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. ** Extended Abstracts ** Extended abstracts should be at most 3 pages. The abstracts should introduce work that has recently been published or is under review, or ongoing research at an advanced stage. We highly encourage attaching to the submission a preprint/postprint or a technical report. Such extra material will be read at the discretion of the reviewers. Submitting already published material may require a permission by the copyright holder. All submissions should be formatted in CEUR style (2-column style) without enabled header and footer. The author kit can be found at http://ceur-ws.org/Vol-XXX/CEURART.zip. Papers must be submitted in PDF only. Submission will be through the EasyChair conference system. Please submit via Easychair to: https://easychair.org/my/conference?conf=nmr2023 -- Workshop Proceedings -- The accepted papers will be made available electronically in the CEUR Workshop Proceedings series (http://ceur-ws.org/). The copyright of papers remains with the authors. -- Student Grants -- A limited number of student grants will be made available, to support the students attending NMR 2023. Preference will be given to students that are going to present a paper at NMR and with limited access to funding. Details will be given on the NMR website. -- Important Dates -- All dates are 'Anywhere on Earth', namely 23:59 UTC-12. * Paper registration deadline: 2 June 2023 * Paper submission deadline: 9 June 2023 * Notification to authors: 17 July 2023 * Camera-ready version: 4 August 2023 * Workshop dates: 2-4 September 2023 -- Workshop Co-Chairs -- * Kai Sauerwald, FernUniversit?t in Hagen, Germany * Matthias Thimm, FernUniversit?t in Hagen, Germany -- Further Information -- Please visit the workshop website (http://nmr.krportal.org/2023/) for further information and regular updates. NMR 2023 will follow the same contingency plans as KR 2023 with regard to the effects of the global pandemic on international travel. See the KR 2023 website (https://kr.org/KR2023/) for the latest news. From bei.xiao at gmail.com Tue May 2 10:01:27 2023 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Tue, 2 May 2023 10:01:27 -0400 Subject: Connectionists: BMVC 2023 submission deadline (May 12, 2023) , Nov 20-24, Aberdeen, UK Message-ID: The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 34th BMVC will now be an in-person event from 20th?24th November 2023 Aberdeen, Scotland . Our local in-person meeting will be held at P&J Live . The conference website is here: https://bmvc2023.org/ Schedule is here: https://bmvc2023.org/dates/ *Paper submission deadline is May 12, 2023* *Workshop deadline is May 5, 2023* Authors are invited to submit full-length high-quality papers in image processing, computer vision, machine learning and related areas for BMVC 2023. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. Accepted papers will be included in the conference proceedings published and DOI-indexed by BMVA. Past proceedings can be found online: here . Please note that BMVC is a single-track meeting with oral and poster presentations. The paper submission deadline will be on 12th May 2023. Submitted papers should not exceed NINE pages (references are excluded, but appendices are included). Submissions are now open and that can be done through CMT . Hope to see you in BMVC 2023. -- Bei Xiao, PhD Associate Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From liufengchaos at gmail.com Tue May 2 10:12:55 2023 From: liufengchaos at gmail.com (Feng Liu) Date: Tue, 2 May 2023 10:12:55 -0400 Subject: Connectionists: CfP: Deadline extended to May 15: Brain Informatics in Hoboken, NJ (NYU metro area) Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York ? USA The key theme: Brain Science meets Artificial Intelligence A Hybrid Conference with both Online and Offline Modes History of BI: www.youtube.com/watch?v=Y2s78IIN-CQ Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 15 May 2023: Full Paper Submission Deadline - 20 May 2023: Workshop Proposal Submission Deadline - 01 Jun 2023: Abstract Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: ?Sketches of thought? and ?Reason and Less: Pursuing Food, Sex, and Politics? York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20publications.html 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Overlength pages will be charged for 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20publications.html Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 15 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 1 Jun 2023: Abstract presentation submission deadline * 3 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue May 2 23:16:49 2023 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 3 May 2023 03:16:49 +0000 Subject: Connectionists: CFP: SBP-BRiMS'2023: Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2023 2023 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 20-22, 2023 Will be held in hybrid mode (In-person in Pittsburgh, PA, USA) http://sbp-brims.org/ #sbpbrims The goal of this conference is to build a community of social cyber scholars by fostering interaction among members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior in our quickly evolving social world of today. The conference values diverse disciplinary participation from the social, behavioral, physical, and computational sciences and welcomes a broad range of methodological approaches (agent-based models, online experiments, network science and social network analysis, and machine learning). All computational social science papers and panels are welcome. Some illustrative topics include: ??Social Cyber Security ??Trust in AI; Human-AI Interaction ??Blockchain and Decentralized Web ??Decentralization of Social Media ??Social Media Analytics and Network Science ??Online Collective Action, Social Movements, and Mob Dynamics ??Military in the Age of AI ??Organizations and Big Data ??Disinformation, Deepfakes, and Online Harms ??Applications (Healthcare, Economics, Government, Military, etc.) All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. See also special Call for Panels at SBP-BRiMS'23 website: http://sbp-brims.org/2023/Call%20For%20Panels/ IMPORTANT DATES: Full Paper Submission: 5-Jun-2023 (Midnight EST) Author Notification: 3-Jul-2023 Final Files Due : 17-Jul-2023 Panel proposals due: 10-Jul-2023 Panel Notification: 17-Jul-2023 Challenge Response due: 10-Jul-2023 Challenge Notification: 17-Jul-2023 Final Files due: 1-Aug-2023 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference will have a computational challenge as in previous years. Additional details are available at the conference Challenge website: http://sbp-brims.org/2023/challenge/. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Tue May 2 11:56:57 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 2 May 2023 17:56:57 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=2C_Deadline_May_23=3B_4?= =?utf-8?q?th_International_Forum_of_Cyber_Security=2C_Privacy=2C_and_Trus?= =?utf-8?b?dCAoTkVNRVNJU+KAmTIzKTsgV2ViIG9mIFNjaWVuY2U7IElFRUU6ICM1NzU3?= =?utf-8?q?3?= In-Reply-To: References: Message-ID: CALL FOR PAPERS 4th International Forum of Cyber Security, Privacy, and Trust (NEMESIS?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/css/nemesis Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* Nowadays, information security works as a backbone for protecting both user data and electronic transactions. Protecting communications and data infrastructures of an increasingly inter-connected world have become vital nowadays. Security has emerged as an important scientific discipline whose many multifaceted complexities deserve the attention and synergy of computer science, engineering, and information systems communities. Information security has some well-founded technical research directions which encompass access level (user authentication and authorization), protocol security, software security, and data cryptography. Moreover, some other emerging topics related to organizational security aspects have appeared beyond the long-standing research directions. The International Forum of Cyber Security, Privacy, and Trust (NEMESIS?23) as a successor of International Conference on Cyber Security, Privacy, and Trust (INSERT?19) focuses on the diversity of the cyber information security developments and deployments in order to highlight the most recent challenges and report the most recent researches. The session is an umbrella for all cyber security technical aspects, user privacy techniques, and trust. In addition, it goes beyond the technicalities and covers some emerging topics like social and organizational security research directions. NEMESIS?23 serves as a forum of presentation of theoretical, applied research papers, case studies, implementation experiences as well as work-in-progress results in cyber security. NEMESIS?23 is intended to attract researchers and practitioners from academia and industry and provides an international discussion forum in order to share their experiences and their ideas concerning emerging aspects in information security met in different application domains. This opens doors for highlighting unknown research directions and tackling modern research challenges. The objectives of the NEMESIS?23 can be summarized as follows: To review and conclude research findings in cyber security and other security domains, focused on the protection of different kinds of assets and processes, and to identify approaches that may be useful in the application domains of information security. To find synergy between different approaches, allowing elaborating integrated security solutions, e.g. integrate different risk-based management systems. To exchange security-related knowledge and experience between experts to improve existing methods and tools and adopt them to new application areas Topics Topics of interest include but are not limited to: - Biometric technologies - Cryptography and cryptanalysis - Critical infrastructure protection - Security of wireless sensor networks - Hardware-oriented information security - Organization- related information security - Social engineering and human aspects in cyber security - Individuals identification and privacy protection methods - Pedagogical approaches for information security education - Information security and business continuity management - Tools supporting security management and development - Decision support systems for information security - Trust in emerging technologies and applications - Digital right management and data protection - Threats and countermeasures for cybercrimes - Ethical challenges in user privacy and trust - Cyber and physical security infrastructures - Risk assessment and management - Steganography and watermarking - Digital forensics and crime science - Security knowledge management - Security of cyber-physical systems - Privacy enhancing technologies - Trust and reputation models - Misuse and intrusion detection - Data hide and watermarking - Cloud and big data security - Computer network security - Assurance methods - Security statistics The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 NEMESIS Committee: https://fedcsis.org/sessions/nsa/nemesis/committee From marieke.van.erp at dh.huc.knaw.nl Wed May 3 11:30:21 2023 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Wed, 3 May 2023 15:30:21 +0000 Subject: Connectionists: Vacancy: Postdoctoral researcher & PhD student (both 4 years) - Amsterdam - ERC Consolidator Project Message-ID: *apologies for cross-posting* Job opening for a postdoctoral researcher and PhD student (both 4 years) for a new ERC-funded Consolidator project TRIFECTA. For more information regarding the vacancies and how to apply see: https://vacatures.knaw.nl/job-invite/1544/ https://vacatures.knaw.nl/job-invite/1537/ What the job entails: The postdoctoral researcher and PhD student will work together on Tracing Contentious Entities and Concepts in Maritime History focusing on the Dutch East India Company (VOC). The team will develop and evaluate language and semantic web technology to identify and trace these concepts and to study the impact of digital processing tools on the hermeneutical practice of historical research. For more information about the project, see: https://trifecta.dhlab.nl What we?re looking for: Researchers who bring an open-minded and collaborative attitude towards doing groundbreaking digital humanities research. You have a firm grasp on computational methods and are willing to achieve proficiency in historical research methods or you are a historian willing to achieve proficiency in computational methods. PhD student: You will need to have finished your MA in history or a related field or MSc in language technology, semantic web or a related field by the starting date of the project. Postdoc: You will need to have finished a Ph.D. in history, language technology, semantic web or a related field by the starting date of the project. Prior experience in interdisciplinary projects is a plus. Your English is excellent and you have or are willing to obtain a working proficiency in Dutch. What we are offering: You will be working in the Digital Humanities Lab, a research group at KNAW Humanities Cluster in Amsterdam. DHLab investigates and develops innovative, data-driven, and computationally strong methods for humanities research. We develop computational methods for connecting collections and resources, computational heuristics and tool criticism, and we aim to bridge qualitative and quantitative methods. Your workplace: Our offices are located in a historical building in downtown Amsterdam. Researchers work together in projects and a shared office space and can choose to spend part of their time at home. DHLab aims to be an open and inquisitive, safe work environment where your input counts, not your job title. We value open conversations about pros and cons of a particular idea and approach based on content, not status. For more information: Please contact: Dr. Marieke van Erp, principal investigator & DHLab department head: marieke.van.erp at dh.huc.knaw.nl Application procedure Please submit a CV, cover letter that includes a motivation on why you want to work on this project and a 1-page research statement via https://lnkd.in/g3A4pZ85 (postdoc) or https://lnkd.in/g5A2YWZs (PhD student) Interviews will take place online on 7 June 2023. For this job, you must be willing to move to the Netherlands and obtain a working proficiency of the Dutch language. About the HuC: The KNAW Humanities Cluster stands for innovative and interdisciplinary research in humanities and heritage. The KNAW Humanities Cluster is a collaboration of three institutes of the Royal Netherlands Academy of Arts and Sciences (KNAW): the Huygens Institute for Dutch History and Culture, the International Institute of Social History and the Meertens Institute. In these institutes, we carry out pioneering and excellent humanities research (history, ethnology, literature, linguistics) with the application of innovative methods, in which computer science plays an important role. The business office of the KNAW Humanities Cluster has housed its operations in a central business office and supports these three institutes, as well as the Netherlands Institute for Advanced Study (NIAS) and the Netherlands Institute for War Documentation (NIOD) in their operations. The HuC has a joint Digital Infrastructure department, a Digital Humanities Lab and NL-Lab. ? https://www.mariekevanerp.com / @merpeltje Digital Humanities Lab / dhlab.nl KNAW Humanities Cluster / huc.knaw.nl https://odeuropa.eu - Sensory mining and olfactory heritage https://cultural-ai.nl - A lab for culturally valued AI From maria.pavlovic at tuebingen.mpg.de Wed May 3 05:55:13 2023 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Wed, 3 May 2023 09:55:13 +0000 Subject: Connectionists: DEADLINE EXTENDED (May15th): Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany Message-ID: <894129aab9b142c88c279a8deba44078@tuebingen.mpg.de> Systems Vision Science Symposium Aug. 22-24, 2023 in T?bingen, Germany -------------------------------- DEADLINE EXTENDED! SUBMIT CONTRIBUTIONS UNTIL MAY 15, 2023! We have extended the deadline to submit poster contributions to the Systems Vision Science Symposium to May 15, 2023! You have also the chance to register without contribution ? registration without contribution to the symposium will be open until capacity or deadline for organization is reached! Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ? Topics in Systems Vision Science ? The power of two: New perspectives on binocular vision ? Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einh?user-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Sch?tz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- This year?s venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: https://summerschool.lizhaoping.org/ Please direct inquiries to svs.summerschool at tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Ulf L?der Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From hocine.cherifi at gmail.com Thu May 4 06:12:19 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 4 May 2023 12:12:19 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Participation_FRCCS_2023_?= =?utf-8?q?=E2=80=93_May_30-June_02_Le_Havre_France?= Message-ID: The FRCCS 2023 Conference will be held at Le Havre Normandy University in the beautiful city of Le Havre , France. It is the 3rd event of the series, sponsored by CSS France . Please join us to learn about the latest research, innovations, and insights from experts in the field at the FRCCS 2023 conference. Six Keynote Speakers will present the latest developments and research topics. Luca Maria Aiello ITU Copenhagen Denmark Ginestra Bianconi Queen Mary University UK V?ctor M. Egu?luz University of the Balearic Islands Spain Adriana Iamnitchi Maastricht University Netherlands Rosario N. Mantegna Palermo University Italy C?line Rozenblat University of Lausanne Switzerland More details at: https://iutdijon.u-bourgogne.fr/ccs-france/speakers/ We prepared an exciting program with around 60 top contributions presented in 11 oral sessions and 20 top contributions in 2 poster sessions. More details at: https://iutdijon.u-bourgogne.fr/ccs-france/program-3/ REGISTRATION is OPEN https://iutdijon.u-bourgogne.fr/ccs-france/registration/ And take a chance to visit Normandy See you very soon in Le Havre for fruitful exchanges! The general Chairs Cyrille Bertelle LITIS, Normastic, Le Havre Roberto Interdonato CIRAD, UMR TETIS, Montpellier -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Thu May 4 06:13:04 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Thu, 4 May 2023 12:13:04 +0200 Subject: Connectionists: ACDL 2023, 6th Advanced Course on Data Science & Machine Learning - From Deep Learning to Foundation Models | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by May 23 * Hurry up! There are only 25 free places left! * Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * *** Hurry up! There are only 25 free places left! *** ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models If you want to learn Transformers, Large language models (e.g. GPT family, BERT, Megatron-Turing NLG, ...) Vision - Large-scale vision models (e.g. MAE, SimCLR, ...) Vision and language (e.g. DALL.E, ALIGN, CLIP, ...) Beyond vision and language (e.g. video, Knowledge-Graph, structured data, multilingual, ...) and much more then take part in ACDL 2023! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2023.icas.cc acdl at icas.cc EARLY REGISTRATION: by May 23 https://acdl2023.icas.cc/registration/ Oral Presentation Submission Deadline: by May 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2023.icas.cc/lecturers/ Luca Beyer, Google Brain, Z?rich, Switzerland Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" Lecture 3: "Transformers 1/2" Lecture 4: "Transformers 2/2" Aakanksha Chowdhery, Google Brain, USA Lecture 1: TBA Lecture 2: TBA Thomas Kipf, Google Brain, USA Lecture 1: "Graph Neural Networks 1/2" Lecture 2: "Graph Neural Networks 2/2" Lecture 3: "Structured Representation Learning for Perception 1/2" Lecture 4: "Structured Representation Learning for Perception 2/2" Pushmeet Kohli, DeepMind, London, UK Lectures: TBA Yi Ma, University of California, Berkeley, USA Lecture 1: "An Overview of the Principles of Parsimony and Self-Consistency: The Past, Present, and Future of Intelligence" Lecture 2: "An Introduction to Low-Dimensional Models and Deep Networks" Lecture 3: "Parsimony: White-box Deep Networks from Optimizing Rate Reduction" Lecture 4: "Self-Consistency: Closed-Loop Transcription of Low-Dimensional Structures via Maximin Rate Reduction" Gerhard Paass, Fraunhofer Institute - IAIS, Germany Lecture 1: "Introduction to Foundation Models" Lecture 2: "Foundation Models for Retrieval Applications" Lecture 3: "Combining Foundation Models with External Text Resources" Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 Panos Pardalos, University of Florida, USA Lecture : "Diffusion capacity of single and interconnected networks" Qing Qu, University of Michigan, USA Lecture 1: "Low-Dimensional and Nonconvex Models for Shallow Representation Learning" Lecture 2: "Low-Dimensional Structures in Deep Representation Learning I" Lecture 3: "Low-Dimensional Structures in Deep Representation Learning II" Lecture 4: "Robust Learning of Overparameterized Networks via Low-Dimensional Models" Alex Smola, Amazon, USA (TBC) Zoltan Szabo, LSE, London, UK Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs" Michal Valko, DeepMind Paris & Inria France & ENS MVA Lecture 1: "Reinforcement learning" Lecture 2: "Deep Reinforcement Learning" Lecture 3: "Learning by Bootstrapping: Representation Learning" Lecture 4: "Learning by Bootstrapping: World Models" TUTORIAL SPEAKERS: Each Tutorial Speaker will hold more than four lessons on one or more research topics. Rapha?l Berthier, EPFL, Switzerland Lecture 1: "Implicit Regularization in Neural Networks" Lecture 2: "Incremental Learning in Diagonal Linear Networks" Lecture 3: "Approaches to Study Dynamics of Neural Networks" Lecture 4: "The Fast-Slow Regime of Neural Networks" Bruno Loureiro, ?cole Normale Sup?rieure, France Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning" Varun Ojha, Newcastle University, UK Lecture 1: "Characterization of Deep Neural Networks" Lecture 2: "Backpropagation Neural Tree" Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms" https://acdl2023.icas.cc/lecturers/ PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/ ACDL 2023 VENUE: Riva del Sole Resort & SPA Localit? Riva del Sole ? Castiglione della Pescaia (Grosseto) CAP 58043 ? Tuscany ? Italy p: +39-0564-928111 f: +39-0564-935607 e: events at rivadelsole.it w: www.rivadelsole.it https://acdl2023.icas.cc/venue/ PAST EDITIONS: https://acdl2023.icas.cc/past-editions/ REGISTRATION: https://acdl2023.icas.cc/registration/ CERTIFICATE & 8 ECTS: PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors. *6th Advanced Course on Data Science & Machine Learning - ACDL2023* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by April 23 (AoE)* W: https://acdl2023.icas.cc/ E: acdl at icas.cc FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *9th International Conference on machine Learning, Optimization & Data science ? LOD 2023 *September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission Deadline: May 10* lod at icas.cc https://lod2023.icas.cc/ *ACAIN 2023, the* *3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience*, September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission (Symposium): by April 26 (AoE)* *Early Registration (Course): by April 26* W: https://acain2023.icas.cc/ E: acain at icas.cc FB: https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/ The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Thu May 4 06:12:48 2023 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 4 May 2023 12:12:48 +0200 Subject: Connectionists: CfP: MACLEAN - MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2023) Message-ID: *MACLEAN: MAChine Learning for EArth ObservatioN* September 2023 (18 or 22) https://sites.google.com/view/maclean23/ *KEY DATES* Paper submission deadline: *June 12, 2023* Paper acceptance notification: *July 12, 2023* *CONTEXT* The vast amount of data currently produced by modern Earth Observation (EO) missions and measurements on the surface has raised new challenges for the Remote Sensing Community and atmospheric modelers. EO sensors can now offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different signals, e.g., multi-(hyper)spectral optical, radar, LiDAR, and Digital Surface Models. On the other hand, atmospheric composition and processes are measured on the surface, starting from molecular scale measurements with mass spectrometers, particle counters, and more traditional meteorological instruments. Modern machine learning techniques can be crucial in dealing with such heterogeneous, multi-scale, and multi-modal data. Some methods gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis, active learning, explainable artificial intelligence, uncertainty quantification, and interactive model building and visualization. Even though machine learning and the development of ad-hoc techniques are gaining popularity, we still see a significant need for more interaction between domain experts and machine learning researchers. This workshop aims to be an international forum where machine learning researchers and domain experts can meet each other to exchange, debate, and draw short and long-term research objectives around the exploitation and analysis of EO and atmospheric data via Machine Learning techniques. Among the workshop?s goals, we want to give an overview of the current machine-learning research dealing with EO and other atmospheric measurement data. On the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data. *INVITED SPEAKERS* * Gabriele Moser*, University of Genoa *Jonas Elm*, Aarhus University *TOPICS* The non-exclusive list of topics for the workshop includes, to the extent related to the EO and atmospheric procesess: ? Supervised and unsupervised machine learning methods ? Semi-supervised classification, domain adoptation, active learning, structured output learning, multi-task learning, and online learning ? Interpretability and explainability of machine learning methods ? Bayesian modelling of various parts of EO or atmospheric procesess ? Dimensionality reduction and feature selection, finding embeddings and latent variables ? Visualisation and interaction with EO and atmospheric data ? Interactive model building and eliciting expert knowledge ? Applications of high-performance computing *SUBMISSION* We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2023 submission format. Accepted contributions will be made available electronically through the Workshop web page. Post-proceedings will be published by Springer. *WORKSHOP WEBSITE:* https://sites.google.com/view/maclean23/ *SUBMISSION WEBSITE:* https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023/Submission/Index *Please select MACLEAN from the drop down menu when creating your submission.* *PC-CHAIRS* Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corp etti at cnrs.fr Dino Ienco, INRAE, UMR Tetis, Montpellier, France, di no.ienco at inrae.fr Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.in terdonato at cirad.fr Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham at irisa.fr Patrick Rinke, Aalto University, Helsinki, patrick.rinke at aalto.fi Kai Puolam?ki, University of Helsinki, Helsinki, Finland, kai.puolamaki at helsinki.fi -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Thu May 4 08:37:35 2023 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Thu, 4 May 2023 12:37:35 +0000 Subject: Connectionists: =?windows-1252?q?NEST_Conference_2023_=97_Abstrac?= =?windows-1252?q?t_Submission_Deadline_Extended_to_21_May?= Message-ID: Dear all, The abstract submission deadline for the NEST Conference 2023 has been extended to 21 May. We are looking forward to your contributions! [cid:image001.jpg at 01D97E95.93B01E40] The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Thursday/Friday 15/16 June 2023. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference Important dates 21 May 2023 ? Deadline for submission of contributions 26 May 2023 ? Notification of acceptance 5 June 2023 ? Registration deadline 15 June 2023 ? NEST Conference 2023 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 147297 bytes Desc: image001.jpg URL: From marcin at amu.edu.pl Thu May 4 19:46:53 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 5 May 2023 01:46:53 +0200 Subject: Connectionists: =?utf-8?q?_May_23_deadlinel_CALL_FOR_PAPERS=2C=2C?= =?utf-8?q?1st_Symposium_on_Challenges_for_Natural_Language_Processing_=28?= =?utf-8?b?Q05MUFPigJkyMyk7IFdlYiBvZiBTY2llbmNlOyBJRUVFOiAjNTc1NzM=?= In-Reply-To: References: Message-ID: CALL FOR PAPERS 1st Symposium on Challenges for Natural Language Processing (CNLPS?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/css/nemesis Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* Challenges for Natural Language Processing Symposium is a series of competitions oriented towards advancing human language technologies. The goal of the symposium is to evaluate natural language processing tools in demanding, non-obvious tasks that address multimodal problems, cross-lingual learning and processing of natural languages that are not widely represented in other evaluation campaigns. Topics This year we invite all interested teams and individuals to participate in the following events: + PolEval Competition https://fedcsis.org/sessions/aaia/cnlps/poleval + Center for Artificial Intelligence Challenge on Conversational AI Correctness https://fedcsis.org/sessions/aaia/cnlps/caiccaic + Temporal Image Caption Retrieval Competition https://fedcsis.org/sessions/aaia/cnlps/ticrc More details about the competitions can be found in the linked subpages. Apart from the competitions, we also welcome submissions to the General Session that includes the topics listed below: * Corpora and Language Resources * Machine Learning in NLP * Speech Processing * Language Modeling * Language Generation * Conversational AI * Question Answering * Sentiment and Emotion Detection * Information Extraction Papers submitted for the General Session must comply with all standard FedCSIS requirements. For this session we only accept regular papers that describe new research contributions, present experiences encountered in practice or report on research topics worthy of immediate communication as explained on the page on paper categories. Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 CNLPS Committee: 1st Symposium on Challenges for Natural Language Processing (CNLPS?23) CNLPS is organized in collaboration with (within the framework of) Multi-task, Multilingual, Multi-modal Language Generation COST Action CA18231; https://multi3generation.eu/ From laurent.perrinet at univ-amu.fr Thu May 4 11:57:54 2023 From: laurent.perrinet at univ-amu.fr (PERRINET Laurent) Date: Thu, 4 May 2023 15:57:54 +0000 Subject: Connectionists: Postdoc position "Accurate detection of precise spiking motifs in neurobiological data" Message-ID: <64A589A3-B0FB-4AF6-8DCE-FD47278693FC@univ-amu.fr> Dear colleagues, Applications are welcome for a fully funded post-doctoral position at INT in Marseille, France. Your mission will be to build an algorithm for the accurate detection of precise spiking motifs in neurobiological data. The project is funded by the polychronies grant (AMX-21-RID-025) and will be coordinated by Laurent Perrinet along with Thomas Schatz (theory) and Rosa Cossart (neurobiology). [TL; DR= Get more details at https://laurentperrinet.github.io/post/2023-05-01_postdoc-position_polychronies.] [featured.png] ? [Motion Exposure](http://www.motionexposure.com) - Stephen Orlando. With permission by the artist. Candidates should have experience in computational neuroscience, physics, engineering, or related fields, and a strong background in machine learning. The candidate must have good computer science skills (programming skills, git versioning, ?) Python programming experience is required. A multidisciplinary background would be highly appreciated, especially an advanced knowledge of mathematics. The candidate must have a strong interest in neuroscience. The candidate must be fluent in English and willing to proactively interact with partners in different communities, including theoretical neuroscience, machine learning, or neurobiology. The preferred candidate should have the ability to work autonomously and be flexible to adapt to the working methods of the supervisors. To obtain further information, please visit https://laurentperrinet.github.io/post/2023-05-01_postdoc-position_polychronies. To candidate, contact me @ Laurent.Perrinet at univ-amu.fr and provide a synthetic letter of motivation and a CV. I always respond, usually in less than one week, so please contact me again in case you did not hear from me. Ideal starting date is October 1st, 2023, but may be flexibly arranged to suit the candidate. The appointment is for 18 months and applications are welcome immediately. Thanks for distributing this announcement to potential candidates! Laurent -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: featured.png Type: image/png Size: 333276 bytes Desc: featured.png URL: From v.steuber at herts.ac.uk Thu May 4 18:07:49 2023 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Thu, 4 May 2023 22:07:49 +0000 Subject: Connectionists: PhD Studentship in Computational Neuroscience and Neurostimulation In-Reply-To: References: Message-ID: PhD Studentship in the Centre for Future Societies at the University of Hertfordshire Application Deadline 19 May 2023 https://www.herts.ac.uk/.../centre.../phd-studentships-2023 Project title: Low-cost, accessible neurostimulation, experiments and simulations Supervisors: Dr Nada Yousif, Professor Volker Steuber Originality: The proposed project would for the first time combine experimental cerebellar stimulation and computational modelling, to show the feasibility of low-cost, accessible non-invasive neurostimulation for treating movement disorders. Significance: The cerebellum is a critical structure for movement. We have previously shown that it is central in controlling pathological activity in epilepsy (Kros et al., Annals of Neurology 2015) and essential tremor (Yousif et al., PloS Comput Biol, 2017). Deep brain stimulation (DBS) has been used for decades to treat tremor (Benabid et al, 1998) and more recently epilepsy (Zangiabadi et al., Frontiers Neurology, 2019). However, DBS is a highly invasive surgical technique targeting the thalamus, a structure inaccessible by non-invasive neurostimulation. Rigour: The project would involve, 1) a detailed biophysical computational model of the cerebellum, based on our previous work, but extended to involve connected structures such as the thalamus; 2) experiments with human participants involving non-invasive electrical stimulation of the cerebellum during normal movement tasks to inform, validate and test the model. Together, this will lead to theoretically based, novel stimulation paradigms for a closed-loop system. Potential Contribution to Knowledge: We propose that cerebellar stimulation could provide a method of replacing DBS and inhibiting pathological brain activity, and that a model based closed-loop system would provide an optimal approach. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From majorjiemei at gmail.com Fri May 5 04:18:49 2023 From: majorjiemei at gmail.com (Jie Mei) Date: Fri, 5 May 2023 17:18:49 +0900 Subject: Connectionists: CALL FOR PAPERS, Deadline May 26; CogFeel Workshop at ALIFE 2023 Message-ID: - Venue: ALIFE 2023, Sapporo, Japan - Date: July 25th, 2023 - Title: Cognitive feelings: Towards multi-disciplinary approaches for realizing artificial systems with cognitive capacities - Website: https://sites.google.com/view/cogfeel-alife-2023/ - Workshop organizers: - Jie Mei, International Research Center for Neurointelligence, The University of Tokyo - Hiroki Kojima, National Center of Neurology and Psychiatry and The University of Tokyo - Yuichi Yamashita, National Center of Neurology and Psychiatry - Yukie Nagai, International Research Center for Neurointelligence, The University of Tokyo Dear colleagues, In recent years, an increasing number of cross-disciplinary approaches have been proposed to deepen our understanding of living systems and their interactive, evolutionary, and adaptive aspects. However, we have not fully achieved the emergence of intelligence and mind in artificial systems. To facilitate discussions on how cognitive capacities of artificial living systems could be improved and potentially propose a framework for exploring the origin, emergence and evolution of perception and emotions, we are organizing a workshop (CogFeel @ ALIFE 2023: https://sites.google.com/view/cogfeel-alife-2023) in conjunction with the 2023 Conference on Artificial Life (ALIFE 2023). We reinforce the role of cognitive feelings (i.e., feelings about one?s mental processes, encompassing senses of knowing, confidence, reality, and fluency, etc.) as an integrated component contributing to developmental individuality and diversity. We also recognize the difficulty in implementing (subjective) feelings in artificial systems which requires the differentiation whether these systems possess feelings or just behave as so. For a comprehensive perspective on how individual- and population-level diversity in cognitive and behavioral capacities emerges, in this workshop, we encourage discussions on methods and findings in disciplines including but not limited to: - Robotics, - Computational and behavioral neuroscience, - Psychology, - Virtual/augmented reality, and - Artificial intelligence, etc. We welcome submissions on topics within the fields of (neuro)robotics, computational and behavioral neuroscience, psychology, virtual/augmented reality, and artificial intelligence. We also encourage contributions from other relevant disciplines. Submissions should be in the form of extended abstracts (maximum 2 pages) or research articles (maximum 8 pages). We are planning to organize a special issue in partnership with a top academic journal where extended versions of selected contributions will be published. Deadline: May 26, 2023. Please submit your contribution to cogfeelalife2023 at gmail.com. Regards, Jie Mei -------------- next part -------------- An HTML attachment was scrubbed... URL: From P.Turrini at warwick.ac.uk Fri May 5 05:39:32 2023 From: P.Turrini at warwick.ac.uk (Turrini, Paolo) Date: Fri, 5 May 2023 09:39:32 +0000 Subject: Connectionists: 3-Year Research Fellowship in Social Networks for Social Good, University of Warwick In-Reply-To: References: Message-ID: 3-Year Research Fellowship in Social Networks for Social Good. University of Warwick, UK. Status: Full-time, Fixed-term, September 2023 start. Grade 6: Salary in the range of ?33,348-?43,155 depending on experience and qualifications. Closing dates for applications: May 16th, 2023. Interviews of shortlisted applicants: May 26th, 2023. Call link: https://tinyurl.com/socialnetworksforsocialgood This is a 3-year Postdoctoral Fellow role within the project ?Promoting Social Good Using Social Networks?, led by Dr. Paolo Turrini (https://www.dcs.warwick.ac.uk/~pturrini/) and funded by the Leverhulme Trust. The project studies the conditions under which social networks promote desirable social behaviour, integrating theoretical analysis, computer-aided simulations and experiments with humans. Your job is to undertake cutting edge research in the project areas, with the aim of publishing the results in leading conferences and journals. Based in the Computer Science Department of the University of Warwick and within the multi-agent systems research group, you will be collaborating with Dr Paolo Turrini (Computer Science, Warwick), Professor Thomas Hills (Psychology, Warwick), Dr Fernando P. Santos (Computer Science, University of Amsterdam) and Dr Giulia Andrighetto (Institute of Cognitive Science and Technology, Italian National Research Council). You will be expected to work closely with the PI and the project partners, remotely and with research visits to Amsterdam and Rome, as well as with masters and PhD students tackling related challenges. You will have the unique opportunity to work on theoretical models that are backed by real-world experiments and use them to make accurate predictions about human behaviour. The project will investigate the properties of partner selection and decision-making in dynamic social networks, generalising classical evolutionary game theory models and working towards reconciling seemingly contradictory experimental findings. The aim of the research is to establish the conditions on the network dynamics such that ?``social good" ? understood as cooperation in an underlying public goods game - will emerge and stabilise even in complex and highly dynamic environments. We seek candidates with proven ability in research and evidence of top-quality research output in one or more of these research areas: graph theory; algorithmic game theory; evolutionary game theory; behavioural game theory; multiagent reinforcement learning; social network analysis. Warwick has one of the leading Computer Science departments in the UK (ranked 4th in the 2021 and 2nd in the 2014 Research Excellence Framework) with a highly regarded research and teaching culture. The Department is particularly well-known for its research in algorithms and their applications, including algorithmic game theory and graph theory, which are directly relevant to this project. Warwick has excellent relevant expertise inside and outside the CS Department, particularly Psychology, Economics, Statistics and applied Mathematics. We are one of the stakeholders of the Alan Turing institute, the UK institute for Data Science and Artificial Intelligence. We particularly welcome applications from underrepresented minorities. All applicants will be judged on merit, according to the specified criteria. You should apply by submitting, with your application form, a CV, including a list of publications, a research statement, and a short statement highlighting your suitability for this post. For a full description of the project and your duties, as well as the application link, please consult the link below. https://tinyurl.com/socialnetworksforsocialgood To find out more or arrange an informal conversation about the role, please contact: Dr. Paolo Turrini (P.Turrini at warwick.ac.uk). -------------- next part -------------- An HTML attachment was scrubbed... URL: From lucaonnix at gmail.com Fri May 5 09:01:39 2023 From: lucaonnix at gmail.com (Luca Onnis) Date: Fri, 5 May 2023 15:01:39 +0200 Subject: Connectionists: Job Announcement: Associate Professor of Linguistics with a Specialization in Computational Linguistics (University of Oslo, Norway) Message-ID: Dear colleagues, Please, could you forward the job announcement below to all who might be interested? Job Title: Associate Professor of Linguistics with a Specialization in Computational Linguistics Location: Department of Linguistics and Scandinavian Studies, University of Oslo, Norway Application Deadline: 31st October 2023 URL: < https://www.jobbnorge.no/en/available-jobs/job/243214/associate-professor-of-linguistics-with-a-specialization-in-computational-linguistics > Description: A permanent position of Associate Professor of Linguistics with a specialization in Computational Linguistics is available at the Department of Linguistics and Scandinavian Studies, University of Oslo. (Associate Professor is the entry-level in Norway; moreover, it is possible to apply for promotion to Full Professor after starting the job.) General linguistics at the department covers all the discipline?s core areas (phonetics, phonology, morphology, syntax, semantics, pragmatics), and a range of methodological approaches, including corpus linguistics and experimental linguistics with a designated focus on the promotion of open science. Resources at the department include the Socio-Cognitive Lab (advanced audiovisual system, eye-trackers, and EEG), and we maintain close ties with the TextLab (corpora, databases, and other digital resources) at the faculty level. The successful candidate is expected to initiate and lead research, supervise PhD and MA candidates, and participate in teaching and in exam setting and assessment at all levels. They are also expected to carry out administrative duties in accordance with the needs of the Department. Qualification requirements - Ph.D. or equivalent academic qualifications within linguistics or another discipline related to the profile of the position. - Documented experience with research in computational linguistics that engages with questions from general linguistics (e.g., phonetics, phonology, morphology, syntax, semantics, pragmatics). - An ability to contribute to teaching at all levels, including general courses at the BA level and more advanced BA and MA courses in computational linguistics. - Documented pedagogical skills (either a teaching course certificate or based on teaching experience) and a willingness to take active part in academic leadership and administration. - Documented potential for project acquisition - Excellent English language skills, both spoken and written - Personal suitability and motivation for the position The following qualifications will count in the assessment of the applicants: - Academic qualifications and academic production (publications, tools, programs, libraries, etc) relevant to the advertised position, with emphasis on works published within the last 5 years. Originality and innovative thinking will be weighted more heavily than quantity. - International peer-reviewed publications - Experience with research projects - Effort to promote open science, e.g. through open data, open materials, shared code, or preregistrations. - Potential to contribute to the long-term development of the academic and research environment at the Department - Pedagogical qualifications, documented results from teaching and supervision, and disposition to inspire students - Interest and ability in leadership and administration - Ability to create and contribute to a positive environment for collaboration - Experience with and ability to build international networks - Skills in popular dissemination, public outreach, and innovation We offer: - Salary NOK 615 000 - 714 000 per annum depending on qualifications - A professionally stimulating working environment - Membership in the Norwegian Public Service Pension Fund - Attractive welfare benefits - The opportunity to apply for promotion to a full professorship at a later stage For more information on the position and how to apply, see the full job announcement at the application link provided below. Web Address for Applications: < https://www.jobbnorge.no/en/available-jobs/job/243214/associate-professor-of-linguistics-with-a-specialization-in-computational-linguistics > We would like to highlight the following three aspects of the job announcement: - in spite of the title (Associate Professor), this is an entry-level position in the Norwegian system; newly minted PhDs are eligible to apply, but their thesis must have been submitted by the application deadline, which should be documented; - the position is permanent/tenured; - applicants are not required to know Norwegian (or another Scandinavian language) by the start date, and the faculty provides support for learning Norwegian after arriving in Oslo. -------------- next part -------------- An HTML attachment was scrubbed... URL: From aadharna at gmail.com Fri May 5 14:16:47 2023 From: aadharna at gmail.com (Aaron Dharna) Date: Fri, 5 May 2023 11:16:47 -0700 Subject: Connectionists: Postdoc opening in Jeff Clune?s lab at UBC in Vancouver (on Deep RL, Large Models, and Open-endedness) Message-ID: Seeking a postdoc to join my lab at UBC! Interested in combining deep RL & large language models to advance open-endedness? Candidates should have pubs in one of: RL, large models, open-endedness, or related areas. 1-2+-year positions in paradise! Apply: http://jeffclune.com/join.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 6 03:42:00 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 6 May 2023 09:42:00 +0200 (CEST) Subject: Connectionists: BigDat 2023 Summer: early registration May 24 Message-ID: <747778324.264509.1683358920468@webmail.strato.com> *********************************************** 7th INTERNATIONAL SCHOOL ON BIG DATA BigDat 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://bigdat.irdta.eu/2023su *********************************************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice - IRDTA Brussels/London *********************************************** Early registration: May 24, 2023 *********************************************** FRAMEWORK: BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested. SCOPE: BigDat 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona. Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/ STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Valerie Daggett (University of Washington), Dynameomics: From Atomistic Simulations of All Protein Folds to the Discovery of a New Protein Structure to the Design of a Diagnostic Test for Alzheimer?s Disease Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange PROFESSORS AND COURSES: Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data Marcelo Bertalm?o (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks Gianluca Bontempi (Universit? Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis Ravi Kumar (Google), [intermediate/advanced] Differential Privacy Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Jos? M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science Sebasti?n Ventura (University of C?rdoba), [intermediate] Supervised Descriptive Pattern Mining OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://bigdat.irdta.eu/2023su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in DeepLearn 2023 Summer. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://bigdat.irdta.eu/2023su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From z.tan.phd at ieee.org Fri May 5 23:08:53 2023 From: z.tan.phd at ieee.org (Zhiyuan Tan) Date: Sat, 6 May 2023 04:08:53 +0100 Subject: Connectionists: [3rd CfP] EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications [Deadline Extended] Message-ID: Dear colleagues, Sorry for the cross-posting. This is the 3rd CfP for EAI BDTA 2023 =================================== EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications Edinburgh, UK, 23-24 August 2023 Conference website: https://infoscale.eai-conferences.org/2023/ Submission link: https://infoscale.eai-conferences.org/2023/submission/ Submission Deadline: ***21 May 2023** [Extended]* The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm. The 13th EAI International Conference on Big Data Technologies and Applications will be held in Edinburgh, the United Kingdom. This conference provides a leading forum for the presentation of new advances and research results in the fields of big data technologies and applications. The conference will bring together leading researchers, businessmen, and scientists in the domain of interest from around the world. == Keynotes == Professor Huiyu Zhou, University of Leicester, Title: TBA Professor Jungong Han, University of Sheffield, Title: TBA == Best Paper Award == Three Best Paper Awards will be selected by the Technical Program Committee and the Authors will be awarded a Certificate by EAI. 1. REGULAR/FULL PAPER 2. SHORT PAPER 3. STUDENT'S PAPER == Special Issues == Selected papers will be invited to submit an extended version of their work to the journal special issues: - Mobile Networks and Applications (MONET) - EAI Endorsed Transactions on Scalable Information Systems(Open Access) - EAI/Springer Innovations in Communications and Computing Book Series - International Journal of Web Information Systems == Submission Guidelines == - Papers should be in English. - Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review. - The paper submissions must follow the Springer formatting guidelines (see Author?s kit section on https://infoscale.eai-conferences.org/2023/submission/). - Read the Publication Ethics and Malpractice Statement. Papers should be submitted through EAI ?Confy+? system, and have to comply with the Springer format (see Author?s kit section). Regular papers should be up to 12-15+ pages in length. Short papers should be 6-11 pages in length. Paper templates can be downloaded from: - LaTeX2e Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip - Microsoft Word Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip == Objectives, Scope, and Topics == All the topics related to big data techniques, such as big data collection and storage, big data management and retrieval, big data mining approaches, and big data visualization, are in the scope of BDTA 2023. Besides, its applications in all related areas, such as business, education, medicine, management, and health, are also in the scope of BDTA 2023. We welcome contributions from the following fields: Hardware and Software solutions for Big Data Searching, Storing and Management Data Visualization and Visual Analytics Natural Language Processing in Big Texts Biomedical Imaging Pre-processing and Analysis Structured and Unstructured Data Mining Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms Scalable Computational Intelligence Tools Novel Computational Intelligence Approaches for Data Analysis Evolutionary and Bio-inspired Approaches for Big Data Analysis New Domains and Novel Applications Related to Big Data Technologies Educational Data Mining. Learning Analysis Artificial Intelligence in Education. Medical Informatics Information Systems Security Meta Heuristic Optimization Blockchain Technologies == Committees == General Chair Associate Prof. Zhiyuan Tan Edinburgh Napier University, Edinburgh, UK General Co-Chair Prof. Huiyu Zhou University of Leicester, Leicester, UK Technical Program Committee Chairs Associate Prof. Min Xu University of Technology Sydney, Sydney, Australia Dr Yulei Wu University of Exeter, Exeter, UK Technical Program Committee Co-Chair Prof. Wenwu Wang University of Surrey Prof. Ashkan Sami Edinburgh Napier University, Scotland Publicity and Social Media Chair Dr Yanchao Yu Edinburgh Napier University, Edinburgh, UK Workshop Chair Dr Xingjie Wei University of Leeds, Leeds, UK Sponsorship & Exhibit Chair Dr Nour Moustafa University of New South Wales (UNSW) Canberra, Canberra, Australia Publication Chair Prof. Amin Beheshti Macquarie University Sydney, Australia Local Chair Dr Kehinde Babaagba Edinburgh Napier University, Edinburgh, UK == Publication == All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH. Additional publication opportunities: EAI Transactions series (Open Access) EAI/Springer Innovations in Communications and Computing Book Series (titles in this series are indexed in Ei Compendex, Web of Science & Scopus) == Venue == Edinburgh, United Kingdom == Contact == EAI BDTA 2023 Conference Manager: sara.csicsayova at eai.eu ================================== Best regards, Thomas *------* *Dr Zhiyuan (Thomas) Tan* Associate Professor in Cybersecurity | School of Computing | Edinburgh Napier University E-mail: z.tan.phd at ieee.org Website: https://www.napier.ac.uk/people/thomas-tan -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sat May 6 16:46:06 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 6 May 2023 22:46:06 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=2Cdeadline_May_23=2C_8t?= =?utf-8?q?h_Workshop_on_Advances_in_Programming_Languages_=28WAPL?= =?utf-8?b?4oCZMjMpOyBXZWIgb2YgU2NpZW5jZTsgSUVFRTogIzU3NTcz?= Message-ID: CALL FOR PAPERS 8th Workshop on Advances in Programming Languages (WAPL?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/css/nemesis Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* Programming languages are programmers' most basic tools. With appropriate programming languages one can drastically reduce the cost of building new applications as well as maintaining existing ones. In the last decades there have been many advances in programming languages technology in traditional programming paradigms such as functional, logic, and object-oriented programming, as well as the development of new paradigms such as aspect-oriented programming. The main driving force was and will be to better express programmers' ideas. Therefore, research in programming languages is an endless activity and the core of computer science. New language features, new programming paradigms, and better compile-time and run-time mechanisms can be foreseen in the future. The aims of this session is to provide a forum for exchange of ideas and experience in topics concerned with programming languages and systems. Original papers and implementation reports are invited in all areas of programming languages. Topics Major topics of interest include but are not limited to the following: - Software language engineering - Interplay between languages and machine learning (and other branches of AI), especially for Code Repair and Code Smells - Interplay between languages and security - Automata theory and applications - Compiling techniques - Context-oriented programming languages to specify the behavior of software systems and dynamic adaptations - Domain-specific languages - Formal semantics and syntax - Generative and generic programming - Grammarware and grammar based systems - Knowledge engineering languages, integration of knowledge engineering and software engineering - Languages and tools for trustworthy computing - Language theory and applications - Language concepts, design and implementation - Markup languages (XML) - Metamodeling and modeling languages - Model-driven engineering languages and systems - Practical experiences with programming languages - Program analysis, optimization and verification - Program generation and transformation - Programming paradigms (aspect-oriented, functional, logic, object-oriented, etc.) - Programming tools and environments - Proof theory for programs - Specification languages - Type systems - Virtual machines and just-in-time compilation - Visual programming languages Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. There is a possibility of selecting extended versions of the best papers presented during the conference for further procedure in the journals: ComSIS, ISI IF(2021) = 1.170, and COLA, ISI IF(2021) = 1.778. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 WAPL Committee: https://fedcsis.org/sessions/s3e/wapl/committee From daniel.polani at gmail.com Sat May 6 17:35:05 2023 From: daniel.polani at gmail.com (Daniel Polani) Date: Sat, 6 May 2023 22:35:05 +0100 Subject: Connectionists: Special Opportunity: PhD in AI for Sustainability at UH Message-ID: Special Opportunity at the Future Societies Research Centre University of Hertfordshire (UH), UK Adaptive Systems Research Group (Head of Group: Daniel Polani) AI for Sustainability (Supervisors: Jan Kim and Daniel Polani) PhD Studentship in AI for sustainability: When does a system collapse? Are there early warning signs and possible intervention routes? Can AI help us in answering these questions? Application deadline soon: 19. May 2023 Understanding sustainability is crucial for the survival of humanity as for the biological and ecological world. Disappearance of ecosystems, disintegration of food and other ecological or economical webs are of central relevance. We ask: are there any metrics and early warning signals that indicate that control is lost over the integrity of a system? This PhD will attack this question with modern methods from AI, including empowerment. It will characterise sustainability in a systematic/coherent way, e.g. via the use of information theory. It will work to understand the stability of ecosystems, the emergence of "tipping points" and how to find potential intervention routes to salvage the system. For the general application, see https://www.jobs.ac.uk/job/CXN980/three-fully-funded-phd-research-studentships-in-future-societies for application information. For a full description, search the subtopic "Sustainability, Tipping Points and Interventions in Ecosystems" on the page https://www.herts.ac.uk/research/centres/centre-for-future-societies-research/phd-studentships-2023 (Deadline 19. May 2023) The envisaged research will take place in the vibrant and enthusiastic environment of the Adaptive Systems Research Group in the Department of Computer Science in the School of Physics, Engineering and Computer Science at the University of Hertfordshire. The university is located in Hatfield, UK, less than 25 minutes by train from Kings Cross in Central London. -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.m.hedblom at gmail.com Mon May 8 08:41:06 2023 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Mon, 8 May 2023 14:41:06 +0200 Subject: Connectionists: 2nd CfP: The 7th Image Schema Day (ISD7) @KR 2023, 2-4 September, Rhodes, Greece Message-ID: *(apologies for possible cross-posting)* Call for papers and abstracts! The Seventh Image Schema Day ISD7 at KR2023 September 2-4 Rhodos, Greece https://imageschema.net/image-schema-day After the success of last year's workshop at J?nk?ping University, we are happy to announce that The Image Schema Day is back for the seventh time! This time ISD7 is included in the workshop program of The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023) in Rhodes, Greece. As in previous years, ISD7 is a networking event that invites researchers on image schemas, conceptual primitives and spatiotemporal reasoning from a broad range of scientific disciplines to present their research and discuss ideas for future projects. Unlike many other workshops focused on different topics in one discipline or using one methodology, the Image Schema Day invites researchers from all disciplines and methodologies but focuses on one main topic. The workshop offers a friendly environment for researchers of all stages who are interested in presenting and discussing work on the formal and analytical treatment of conceptual patterns, embodied cognition and the interdisciplinary exploration of human thought! The workshop accepts three kinds of submissions: - Abstracts for presentation (2 pages) (NOTE: these are not included in the proceedings.) - Extended abstracts (5 pages) of work in progress or summaries of recently published articles. - Research papers (5-10 pages) discussing novel research not published (or under review) at another venue. Topics of interest with (the broadest of interpretation of) an image-schematic focus include: - analysis of conceptual metaphors - formalisation of affordances and force dynamics - spatiotemporal reasoning - commonsense reasoning - conceptual modelling - use cases of embodied cognition - formal approaches to analogical reasoning - formal concept analysis - applications in cognitive robotics - image-schematic interface design - art and literature analysis All submissions will be peer-reviewed and accepted contributions will be included in the ISD7 proceedings and presented at the workshop! Submission instructions can be found on the event website. Important dates: - Submission deadline: June 2nd - Notification of acceptance: July 1st - Workshop dates: September 2-4 We are looking forward to seeing you at ISD7! // The ISD7 organisers, Maria M. Hedblom and Oliver Kutz *...and yes, we are back with our psychedelic posters!Love it/hate it - we don't care - but please spread it! :) * [image: ISD7atKR_POSTER.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISD7atKR_POSTER.png Type: image/png Size: 1541790 bytes Desc: not available URL: From cgf at isep.ipp.pt Mon May 8 05:28:15 2023 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 8 May 2023 10:28:15 +0100 Subject: Connectionists: Discovery Science (DS 2023) - CFP Message-ID: -------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- CALL FOR PAPERS DS 2023 Discovery Science Conference Website link: https://ds2023.inesctec.pt/ October 9-11, 2023, Porto, Portugal -------------------------------------------------------------------------------- Special Issue -------------------------------------------------------------------------------- The authors of a number of selected papers presented at DS 2023 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. -------------------------------------------------------------------------------- Award -------------------------------------------------------------------------------- There will be a Best Student Paper Award in the value of 555 Eur sponsored by Springer. -------------------------------------------------------------------------------- Aims and Scope -------------------------------------------------------------------------------- Discovery Science 2023 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of artificial intelligence methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: -Artificial intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science -Machine learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. -Knowledge discovery and data mining -Causal modeling -AutoML, meta-learning, planning to learn -Machine learning and high-performance computing, grid and cloud computing -Literature-based discovery -Ontologies for science, including the representation and annotation of datasets and domain knowledge -Explainable AI, interpretability of machine learning and deep learning models -Process discovery and analysis -Computational creativity -Anomaly detection and outlier detection -Data streams, evolving data, change detection, concept drift, model maintenance -Network analysis -Time-series analysis -Learning from complex data -Graphs, networks, linked and relational data -Spatial, temporal and spatiotemporal data -Unstructured data, including textual and web data -Multimedia data -Data and knowledge visualization -Human-machine interaction for knowledge discovery and management -Evaluation of models and predictions in discovery setting -Machine learning and cybersecurity -Applications of the above techniques in scientific domains, such as -Physical sciences (e.g., materials sciences, particle physics) -Life sciences (e.g., systems biology/systems medicine) -Environmental sciences -Natural and social sciences -------------------------------------------------------------------------------- Important Dates -------------------------------------------------------------------------------- Abstract submission (deadline): May 27, 2023 Full paper submission (deadline): Jun 3, 2023 Notification of acceptance: July 21, 2023 Camera ready version, author registration: August 6, 2023 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) -------------------------------------------------------------------------------- Submission procedure -------------------------------------------------------------------------------- Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 10-12 pages in LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2023. Submission System link: https://cmt3.research.microsoft.com/DS2023 Conference Management Toolkit - Login cmt3.research.microsoft.com Microsoft's Conference Management Toolkit is a hosted academic conference management system. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. -------------------------------------------------------------------------------- Venue -------------------------------------------------------------------------------- DS 2023 will be held in October 9-11, 2023 in Porto, Portugal. The conference will take place in Sheraton Hotel, Porto, Portugal. -------------------------------------------------------------------------------- Organizing Committee -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- General Chairs -------------------------------------------------------------------------------- Jo?o Gama - University of Porto, Portugal Pedro Henriques Abreu ? University of Coimbra, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Program Chairs -------------------------------------------------------------------------------- Albert Bifet - University of Waikato, New Zealand Ana Carolina Lorena ? Aeronautics Institute of Technology, Brazil Rita P. Ribeiro ? University of Porto, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Steering Committee Chair -------------------------------------------------------------------------------- Saso Dzeroski ? Jozef Stefan Institute, Slovenia -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Publicity Chair -------------------------------------------------------------------------------- Carlos Abreu Ferreira ? Polytechnic Institute of Porto, Portugal Ricardo Cerri ? Federal University of S?o Carlos, Brazil Wenbin Zhang ? University of Michigan Technological, USA -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Local Organization Committee -------------------------------------------------------------------------------- Bruno Veloso ? University Portucalense, Portugal Joana Cristo Santos ? University of Coimbra, Portugal Jos? Pereira Amorim ? University of Coimbra, Portugal Miriam Seoane Santos ? University of Coimbra, Portugal Ricardo Cardoso Pereira ? University of Coimbra, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Contacts -------------------------------------------------------------------------------- Organizing Committee Contact Person: Pedro Henriques Abreu - University of Coimbra, Portugal ? pha at dei.uc.pt -------------------------------------------------------------------------------- Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From salvador.limalopez at gmail.com Mon May 8 10:24:05 2023 From: salvador.limalopez at gmail.com (Salvador Lima) Date: Mon, 8 May 2023 16:24:05 +0200 Subject: Connectionists: 2nd CFP: MEDDOPLACE Shared Task (Evaluation now open!) Message-ID: (Apologies for cross-posting) 2nd CFP: MEDDOPLACE Shared Task (locations, clinical departments and travel NER/linking + geocoding from health texts) - NEW: Evaluation now open on CodaLab until mid-June! Info: - Web: https://temu.bsc.es/meddoplace/ - Registration: https://temu.bsc.es/meddoplace/registration - Data: https://zenodo.org/record/7707567 - Guidelines: https://zenodo.org/record/7775235 - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/13017 MOTIVATION Location information represents one of the most relevant types of entities for high impact practical NLP solutions, resulting in a variety of applications adapted to different languages, content types and text genres. We organize the MEDDOPLACE shared task (Medical Documents PLAce-related Content Extraction, part of the IberLEF/SEPLN2023 initiative) devoted to the recognition, normalization and classification of location and location-related concept mentions for high impact healthcare data mining scenarios. For this task we released the MEDDOPLACE corpus of clinical case texts in Spanish annotated with location-relevant entity mentions, following annotation guidelines and entity linking procedures. Practical impact: - Diagnosis & prognosis: Location information is important for the diagnosis or prognosis of some diseases that are more endemic to certain regions or particular geographical environments. - Health risk factors: Geolocation information can be a risk factor in case of exposure to radiation, work-related or environmental contaminants affecting patients health. - Mobility: Due to the increasing mobility of populations, detection of patients' travels and movements can improve early detection and tracing of infectious disease outbreaks, and thus enable taking preventive measurements. The expected results and resources show a multilingual adaptation potential and impact beyond healthcare (e.g. adaptation to tourism/traveling-related content or legal texts). TASKS SUBTRACKS: 1. Location Entity Recognition: detect exact character offsets of all location & location-related mentions. 2. Geographic Entity Normalization (Geocoding/Entity Linking): for entity mentions, normalize them to their GeoNames (Toponym Resolution), PlusCodes (POIs Toponym Resolution) & SNOMED CT (Entity Linking) concept, depending on entity type. 3. Entity Subclassification: Classification of entity mentions into four subcategories of clinical relevance (patient?s origin place; residence?s location; place where the patient has traveled to/from; place where the patient has received medical attention) 4. End-to-End: Participant systems are evaluated in all three tasks above sequentially instead of being evaluated on their own. Publications & workshop Teams participating will be invited to contribute a systems description paper for the IberLEF (SEPLN 2023) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2023 workshop, see: https://temu.bsc.es/meddoplace/publications/. Tentative Schedule: - End of evaluation Phase 1: May 31st, 2023 - End of evaluation Phase 2: June 12th, 2023 - Working papers submission: June 14th, 2023 - Notification of acceptance (peer-reviews): June 26th, 2023 - Camera-ready system descriptions: July 5th, 2023 - IberLEF @ SEPLN 2023: September 27th-29th, 2023 Organizers: - Martin Krallinger, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Eul?lia Farr?, Barcelona Supercomputing Center, Spain - Luis Gasc?, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland -- Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - NLP for Biomedical Information Analysis, BSC-CNS Barcelona, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Mon May 8 14:01:19 2023 From: m.biehl at rug.nl (Michael Biehl) Date: Mon, 8 May 2023 20:01:19 +0200 Subject: Connectionists: Lecture Notes available: "The Shallow and the Deep" Message-ID: Dear All. A slightly extended, revised and prettified version of my lecture notes "*The shallow and the deep - a biased introduction to neural networks* * and old school machine learning*" can be downloaded at https://hdl.handle.net/11370/e08667bd-2e84-4956-b9d3-45b9e957634d This pre-publication version is freely available for non-commercial use and teaching purposes. The copyright remains with the author. --------------------------------------------------- Michael Biehl Bernoulli Institute for Mathematics, Computer Science & Artificial Intelligence P.O. Box 407, 9700 AK Groningen, NL https://www.cs.rug.nl/~biehl -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Mon May 8 15:16:45 2023 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Mon, 8 May 2023 19:16:45 +0000 Subject: Connectionists: Second Call For Papers - BRACIS 2023 - 12th Brazilian Conference on Intelligent Systems Message-ID: <53820312-D1BD-4BEF-8644-194CB09B6E1C@fei.edu.br> Second Call For Papers - BRACIS 2023 - 12th Brazilian Conference on Intelligent Systems 12th Brazilian Conference on Intelligent Systems (BRACIS) Belo Horizonte, MG, Brazil, September 25th to 29th, 2023. https://www.bracis.dcc.ufmg.br/ *** Deadline for paper submissions EXTENDED: May 18th, 2023 *** The Program Committee of the 12th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Belo Horizonte, MG, Brazil, from September 25th to 29th, 2023, at the UFMG. BRACIS is one of the most important events in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). The conference aims to promote theoretical aspects and applications of Artificial and Computational Intelligence and exchange scientific ideas among researchers, practitioners, scientists, and engineers. IMPORTANT DATES - Paper submission - May 18th, 2023. - Notification to authors - July 19th, 2023. - Camera-ready copy due - August 10th, 2023. SPECIAL ISSUES Authors of selected papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS *Please, note that BRACIS submission is double-blind* This means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Submitted papers must be written in English and not exceed 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines. Springer?s proceedings LaTeX templates are also available in Overleaf. Submissions must be made online using the JEMS system: https://jems.sbc.org.br/bracis2023 All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Computer Science (LNCS) / Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. TOPICS OF INTEREST Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning (including Commonsense Reasoning, Model-Based Reasoning, Probabilistic Reasoning, and Approximate Reasoning) - Knowledge Representation and Reasoning in Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering - Combinatorial and Numerical Optimization - Computer Vision - Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Human-centric AI - Ethics GENERAL CHAIR Gisele Pappa (UFMG) Wagner Meira Jr (UFMG) PROGRAM CHAIRS Reinaldo A. C. Bianchi (Centro Universit?rio FEI) Murilo Nardi (UFSCAR) Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. From tomg at princeton.edu Tue May 9 09:00:30 2023 From: tomg at princeton.edu (Tom Griffiths) Date: Tue, 9 May 2023 13:00:30 +0000 Subject: Connectionists: Postdoctoral position in cognitive science and machine learning Message-ID: <0EC84692-1802-41C8-885A-B1AADF9A0820@princeton.edu> Dear Connectionists, My lab is advertising a postdoctoral position focused on meta-learning, with applications to human and machine learning. Details below! Please pass this on to candidates who may be interested. Best wishes, Tom. -- The Department of Computer Science invites applications for a postdoctoral or more senior research position in Computational Cognitive Science, under the direction of Tom Griffiths. Ph.D. is required. Applicants should have a background in cognitive science or a related discipline such as computer science or psychology, with a research agenda focused on using mathematical, computational, and behavioral methods to understand the nature of intelligence. The focus of the research project will be exploring applications of metalearning to understanding human cognition and creating more human-like machine learning systems. Applications will be evaluated on the basis of the applicant's previous accomplishments and their fit with ongoing research projects. Apply at https://www.princeton.edu/acad-positions/position/29981 and submit a current curriculum vitae and a description of research interests and possible future directions in the lab (not to exceed one page). Contact information for three referees, who will be asked to comment specifically on your qualifications for the proposed research project. Referees will be contacted directly by email. Review of applications will begin on April 30, 2023. This is a one-year term appointment with the possibility of renewal based on funding and satisfactory performance. Anticipated start date is September 1, 2023. -- Tom Griffiths Henry R. Luce Professor of Information Technology, Consciousness and Culture Departments of Psychology and Computer Science Princeton University http://cocosci.princeton.edu/tom/ From V.Dankers at sms.ed.ac.uk Tue May 9 05:56:40 2023 From: V.Dankers at sms.ed.ac.uk (Verna Dankers) Date: Tue, 9 May 2023 09:56:40 +0000 Subject: Connectionists: =?utf-8?q?First_Call_for_Papers=3A_=E2=80=8BGenBe?= =?utf-8?q?nch=2C_the_first_workshop_on_generalisation_=28benchmarking=29_?= =?utf-8?q?in_NLP_=40_EMNLP_2023?= In-Reply-To: References: Message-ID: Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP Workshop description The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing. It is crucial to ensure that models behave robustly, reliably and fairly when making predictions about data that is different from the data that they were trained on. Generalisation is also important when NLP models are considered from a cognitive perspective, as models of human language. Yet, there are still many open questions related to what it means for an NLP model to generalise well and how generalisation should be evaluated. The first GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. In particular, the workshop aims to: - Bring together different expert communities to discuss challenging questions relating to generalisation in NLP; - Crowd-source a collaborative generalisation benchmark hosted on a platform for democratic state-of-the-art (SOTA) generalisation testing in NLP The first GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2023. Submission types We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. 1. Regular workshop submissions Regular workshop submissions present papers on the topic of generalisation (see examples listed below) but are not intended to be included on the GenBench evaluation platform. Regular workshop papers may be submitted as an archival paper when they report on completed, original and unpublished research; or as a shorter extended abstract. More details on this category can be found below. Topics of interest include, but are not limited to: - Opinion or position papers about generalisation and how it should be evaluated; - Analyses of how existing or new models generalise; - Empirical studies that propose new paradigms to evaluate generalisation; - Meta-analyses that investigate how results from different generalisation studies compare to one another; - Meta-analyses that study how different types of generalisation are related; - Papers that discuss how generalisation of LLMs can be evaluated without access to training data; - Papers that discuss why generalisation is (not) important in the era of LLMs; - Studies on the relationship between generalisation and fairness or robustness. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench at googlegroups.com. 2. Collaborative Benchmarking Task submissions Collaborative benchmarking task submissions consist of a data/task artefact and a paper describing and motivating the submission and showcasing it on a select number of models. We accept submissions that introduce new datasets, resplits of existing datasets along particular dimensions, or in-context learning tasks, with the goal of measuring generalisation of NLP models. We especially encourage submissions that focus on: - Generalisation in the context of fairness and inclusivity; - Multilingual generalisation; - Generalisation in LLMs, where we have no control over the training data. Each submission should contain information about the data (URIs, format, preprocessing), model preparation (finetuning loss, ICL prompt templates), and evaluation metrics. These will be defined either in a configuration file or in code. More details about the collaborative benchmark task submissions and example submissions can be found on our website: genbench.org/cbt. Participants proposing previously unpublished datasets or splits may choose to submit an archival paper or an extended abstract. Generalisation evaluation datasets that have already been published elsewhere (or will be published at EMNLP 2023) can be submitted to the platform, as well, but only through an extended abstract, citing the original publication. We allow dual submissions with EMNLP. For more information, see below. If you are in doubt about whether a particular type of dataset is suitable for submission, please consult the information page on our website, or reach out to the organisers of the workshop at genbench at googlegroups.com. Archival vs extended abstract Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2023 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website but will not be included in the proceedings. Submission instructions For both archival papers and extended abstracts, we refer to the EMNLP 2023 website for paper templates. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All submissions can be submitted through OpenReview; the link can be found on our website. We also accept regular workshop submissions (papers of category 1) through the ACL Rolling Review system. Authors that have their ARR reviews ready may submit their papers and reviews for consideration to the workshop. Important dates - August 1, 2023 ? Sample data submission deadline - September 1, 2023 ? Paper submission deadline - September 15, 2023 ? ARR submission deadline - October 6, 2023 ? Notification deadline - October 18, 2023 ? Camera-ready deadline - December 6/7, 2023 ? Workshop Note: all deadlines are 11:59 PM UTC-12:00 Dual submissions We allow dual submissions with EMNLP and encourage relevant papers that were dual-submitted and accepted at EMNLP to redirect to a non-archival extended abstract submission. We furthermore welcome submissions of extended abstracts that describe work already presented at an earlier venue, both in the collaborative benchmarking task and in the regular submission track. Preprints We do not have an anonymity deadline. Preprints are allowed, both before the submission deadline as well as after. Contact Email address: genbench at googlegroups.com Website: genbench.org/workshop On behalf of the GenBench team, Dieuwke Hupkes Khuyagbaatar Batsuren Koustuv Sinha Amirhossein Kazemnejad Christos Christodoulopoulos Ryan Cotterell Elia Bruni Verna Dankers The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue May 9 12:38:54 2023 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 09 May 2023 09:38:54 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2023 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 35, Number 5 - May 1, 2023 Now available for online download: http://www.mitpressjournals.org/toc/neco/35/5 http://cognet.mit.edu/content/neural-computation ----- Review Modern Artificial Neural Networks - Is Evolution Cleverer? Andreas Bahmer, Daya Gupta, and Felix Effenberger Article Reward Maximisation Through Discrete Active Inference Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl Friston, and Ryan Smith Letters Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects Reza Sharif Razavian, Mohsen Sadeghi, Salah Bazzi, Rashida Nayeem, and Dagmar Sternad Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment Eddy Kwessi >From Pavlov Conditioning to Hebb Learning Adriano Barra, Elena Agliari, Miriam Aquaro, Alberto Fachechi, and Chiara Marullo Echo Enhanced Embodied Visual Navigation Yinfeng Yu, Lele Cao, Fuchun Sun, Chao Yang, Huicheng Lai, and Wenbing Huang Classification From Positive and Biased Negative Data With Skewed Labeled Posterior Probability Hidetoshi Matsui, Shotaro Watanabe ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From marcosmrai at gmail.com Tue May 9 20:36:50 2023 From: marcosmrai at gmail.com (marcosmrai) Date: Tue, 9 May 2023 21:36:50 -0300 Subject: Connectionists: Call for PhD applications in AI applied in Finance at University of Campinas - Brazil Message-ID: Dear colleagues, We are looking for a motivated PhD student with an interest in machine learning applied to fair and transparent credit scoring. Formal training in economics is not required; strong ML/AI/Statistics skills are an advantage. The form to the application is the following: https://forms.gle/Z29yGfah8wdtT8mLA. More details are attached. The deadline is May 15th, 2023. We would appreciate it if you could share the job ad with anyone you think might be interested. With many thanks and kind regards, -- Marcos M. Raimundo -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2023_PhD_Call_FAI.pdf Type: application/pdf Size: 66263 bytes Desc: not available URL: From marcosmrai at gmail.com Tue May 9 20:36:52 2023 From: marcosmrai at gmail.com (marcosmrai) Date: Tue, 9 May 2023 21:36:52 -0300 Subject: Connectionists: Call for MSc applications in AI applied in Finance at University of Campinas - Brazil Message-ID: Dear colleagues, We are looking for a motivated Master student with an interest in machine learning applied to fair and transparent credit scoring. Formal training in economics is not required; strong ML/AI/Statistics skills are an advantage. The form to the application is the following: https://forms.gle/Z29yGfah8wdtT8mLA. More details are attached. The deadline is May 15th, 2023. We would appreciate it if you could share the job ad with anyone you think might be interested. With many thanks and kind regards, -- Marcos M. Raimundo -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2023_MSc_Call_FAI.pdf Type: application/pdf Size: 66357 bytes Desc: not available URL: From axel.hutt at inria.fr Wed May 10 01:25:10 2023 From: axel.hutt at inria.fr (Axel Hutt) Date: Wed, 10 May 2023 07:25:10 +0200 (CEST) Subject: Connectionists: Announcement of Summer School in Data Analysis in Strasbourg Message-ID: <378393725.17950054.1683696310640.JavaMail.zimbra@inria.fr> ------------------------------------------------------------------------------------------ Summer School "Advanced tools for data analysis in Neuroscience" ------------------------------------------------------------------------------------------ Research discoveries are increasingly dependent on the development of new tools and technologies, as well as on the ability to process, manage and analyze the large amounts of data collected with these tools. In this summer school, we will focus on several aspects of data preparation and analysis , as well as on the use of simulation and modeling tools capable of generating predictions . These tools will be applied to different data acquisition techniques such as electrophysiological recordings (e.g. EEG, intra or extracellular recordings) or image series from brain imaging (e.g. MRI). Master and PhD students from the University of Strasbourg and other French and foreign universities are welcome to apply. Priority will be given to students enrolled in a basic or medical neuroscience program, but students from other specialties will be able to participate as long as places are available. Students are encouraged to come with their own dataset. There will be a Pre-school providing Introduction to Python programming (for beginners) Please find more information on [ https://www.neurex.org/events/events-to-come/item/615-advanced-tools-for-data-analysis-in-neuroscience-2023 | https://www.neurex.org/events/events-to-come/item/615-advanced-tools-for-data-analysis-in-neuroscience-2023 ] Application deadline: May 15, 2023 -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est B?timent IHU 1, Place de l'Hopital 67000 Strasbourg, France https://mimesis.inria.fr/members/axel-hutt/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From habesm at gmail.com Tue May 9 20:27:37 2023 From: habesm at gmail.com (Mohamad Habes) Date: Tue, 9 May 2023 19:27:37 -0500 Subject: Connectionists: Postdoc position in neuroimaging and deep learning -the University of Texas Health San Antonio- Message-ID: *The Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) are recruiting a postdoctoral fellow in deep learning in neuroimaging* *-the University of Texas Health San Antonio-* We seek a talented and highly motivated *postdoctoral fellow *to join our multidisciplinary research team.Alzheimer's disease and other dementias are heterogeneous conditions, which makes differentiating between them and their subtypes very challenging. Our lab focuses on leveraging advanced neuroimaging techniques and deep learning algorithms to better understand brain structure and function in health and disease, particularly Alzheimer's disease. Successful candidates will have the opportunity to contribute to cutting-edge research projects, including but not limited to federated learning, explainable AI, and contrastive learning in neuroimaging, among others. The Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) will be your work environment. We build advanced neuroimage analytical techniques to derive discovery. Data-driven approaches are of particular interest in our lab, as machine learning and machine intelligence will guide the scientist toward the finding. On a broader goal, our tools help deliver precise diagnostics on an individual's level and ultimately could guide treatment progress. We are part of the Biggs Institute (https://biggsinstitute.org), which is being established as a flagship, free-standing institute within the University of Texas Health San Antonio (UTHSA), with the mission of establishing an interdisciplinary, integrated program to provide comprehensive clinical care and undertake innovative and important research into the prevention and treatment of Alzheimer's Disease and other neurodegenerative conditions, including vascular contributions to dementia, Parkinson's disease, and frontotemporal dementia. It has strong institutional and community support and will benefit from existing resources within UTHSA, such as the Barshop Institute for Longevity and Aging Studies, the Center for Biomedical Neuroscience, the School of Nursing, the Cancer Center, and the Research Imaging Institute, along with the San Antonio campus of the UT Health Houston School of Public Health. *Responsibilities* ? Develop, test, and validate novel methods with multimodal neuroimaging data ? Apply your validated methods to large-scale research and real-life everyday clinical routine neuroimaging data ? Willingness to work in teams within NAL, BINC, and Biggs and with national and international collaborators ? Communicate your research results to the larger communities through publications in international conferences and journals ? Work with a great deal of independence in achieving research goals *Requirements* ? A Ph.D. in Neuroscience, Artificial Intelligence, Machine Learning, Computer Vision, or Medical Image Analytics with solid experience in deep learning; Experience in Neuroimaging and Dementia Research is a plus. ? Experience with neuroimage analytics packages like spm, fsl, itksnap, etc. ? Great eagerness to solve scientific problems ? Strong programming skills, e.g., Python, R, C++, and Java. Experience with Python deep learning toolboxes and high-performance computational facilities could be a plus; ? Excellent record of publishing in relevant, high-quality journals in the above fields ? Excellent communication abilities in English, spoken and written. To apply, please send to Dr. Habes (habes at uthscsa.edu) the following materials to ? A cover letter outlining your research interests, qualifications, and career goals ? A current CV, including contact information for at least two references ? Copies of relevant academic transcripts (unofficial copies are acceptable) ? A sample of your previous research work (e.g., a published article, conference paper, or thesis) Review of applications will begin immediately and continue until the position is filled. For more information about our lab and ongoing projects, please visit www.nallab.or.g. We thank all applicants for their interest; however, only those selected for an interview will be contacted. Our institution is an equal opportunity employer and encourages applications from all qualified individuals, including women, members of visible minorities, Indigenous persons, and persons with disabilities. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Tue May 9 19:31:29 2023 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Tue, 9 May 2023 23:31:29 +0000 Subject: Connectionists: 2x Postdoc/RA positions in Neuroimaging & Neuroinformatics Message-ID: 2x post-doctoral /Research Assistant positions at the Adaptive Brain Lab http://www.abg.psychol.cam.ac.uk, University of Cambridge, UK. 1. Post-doctoral position in Integrative Neuroimaging at the Adaptive Brain Lab (University of Cambridge: http://www.abg.psychol.cam.ac.uk) focusing on understanding inhibitory networks dynamics for learning and brain plasticity combining multimodal brain imaging (7T fMRI, MR Spectroscopy), electrophysiology (EEG), interventional (TMS, tDCS) and computational modelling (machine learning, reinforcement learning). Our research programme bridges work across scales (local circuits, global networks) and species (humans, rodents) to uncover the neurocomputations that support learning and brain plasticity. Closing 4th June 2023. For more details please see: https://www.jobs.cam.ac.uk/job/40815/ 1. Post-doctoral or Research Assistant position in AI and Neuroinformatics at the Adaptive Brain Lab (University of Cambridge: http://www.abg.psychol.cam.ac.uk) focusing on developing and translating AI-guided tools for understanding brain processes underlying cognition (e.g. learning and brain plasticity), b) early detection of brain and mental health disorders to inform clinical practice (healthcare, clinical trials). Our work on early prediction of dementia has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589) and has the potential for transformative applications into clinical practice. Closing 4th June 2023. For more details please see: https://www.jobs.cam.ac.uk/job/40830/ For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk) with CV and brief statement of background skills and research interests. -------------- next part -------------- An HTML attachment was scrubbed... URL: From chz8 at aber.ac.uk Tue May 9 12:17:55 2023 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Tue, 9 May 2023 16:17:55 +0000 Subject: Connectionists: SPECIES Scholarships: Final Call for Host Institutions (Deadline: 15/05/2023) Message-ID: Final Call for Host Institutions (SPECIES Scholarships) SPECIES scholarships are aimed at current research students and recent PhD graduates. They involve an in-person internship of three months in one of the listed host institutions, working under the supervision of an advisor. The recipients of the scholarships will receive an allowance of 900 euros per month as contribution towards accommodation and living expenses during the research visit. We have funded 16 successful research collaborations so far. And there is still time to apply as a host for the 2023 round. Important dates: - Host application deadline: 15/05/2023 (AoE) - Candidate applications open: 22/05/2023 - Candidate application deadline: 30/06/2023 (AoE) - Start of the scholarship: no later than 30/09/2024 (unless agreed otherwise) A full list of hosts and their projects will be published before candidate applications open. More information including conditions of the scholarships and details on how to apply can be found on the SPECIES website: https://species-society.org/scholarships-2023/ Email: students at species-society.org ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. -------------- next part -------------- An HTML attachment was scrubbed... URL: From paherman at kth.se Wed May 10 04:36:45 2023 From: paherman at kth.se (Pawel Herman) Date: Wed, 10 May 2023 08:36:45 +0000 Subject: Connectionists: Postdoc position in computational neuroscience at Karolinska Institutet, Sweden Message-ID: Dear all, There is currently an open position in Mikael Lundqvists lab at Karolinska Institute, Stockholm, in computational neuroscience. The focus will be on the neural mechanisms that aid generalization in cognitive tasks, in particular working memory. read more about it here; Postdoctoral Researcher in Computational Neuroscience (https://ki.varbi.com/en/what:job/jobID:615446/) Regards, Mikael -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed May 10 07:25:23 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 10 May 2023 14:25:23 +0300 Subject: Connectionists: Live e-Lecture by Assistant Prof. Lorenzo Baraldi: "From Images to Text: New forms of Human-AI Interaction", 16 May 2023, 17:00 -18:00 CET References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr> <004301d8d3df$32189830$9649c890$@csd.auth.gr> <01f801d90491$e300a6a0$a901f3e0$@csd.auth.gr> <005601d9049a$e6235450$b269fcf0$@csd.auth.gr> <0be601d93d20$8e207580$aa616080$@csd.auth.gr> <00b601d93d24$03426460$09c72d20$@csd.auth.gr> <151301d94c22$3d162200$b7426600$@csd.auth.gr> <00a001d94c25$1900e410$4b02ac30$@csd.auth.gr> <002701d98311$72be0a00$583a1e00$@csd.auth.gr> Message-ID: <028301d98332$1d2d45d0$5787d170$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Assistant Prof. Lorenzo Baraldi, a prominent AI researcher internationally, will deliver the e-lecture: ?From Images to Text: New forms of Human-AI Interaction?, on May 16th, 2023 17:00 -18:00 CET, see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: link & Password: 148148 Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, , J. Stefanowski Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed May 10 04:13:51 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 10 May 2023 10:13:51 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2023 French Riviera France November 28 - 30, 2023 Message-ID: 12 *th **International Conference on Complex Networks & Their Applications* French Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* ? Michael Bronstein University of Oxford UK ? Kathleen Carley Carnegie Mellon University USA ? Manlio De Domenico University of Padua Italy ? Danai Koutra University of Michigan USA ? Romualdo Pastor-Satorras Univ. Polit?cnica de Catalunya Spain ? Tao Zhou USTC China *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) -------------- next part -------------- An HTML attachment was scrubbed... URL: From pavel.brazdil at inesctec.pt Wed May 10 11:26:08 2023 From: pavel.brazdil at inesctec.pt (Pavel Brazdil) Date: Wed, 10 May 2023 15:26:08 +0000 Subject: Connectionists: CFP Neuro-symbolic Metalearning and AutoML Message-ID: <09ac0e881bae41098fcc9ecfa7d1034e@inesctec.pt> ****************************************** CFP Neuro-symbolic Metalearning and AutoML Workshop co-hosted at ECML/PKDD 2023. ****************************************** Date: September 18, 2023 (afternoon) Location: Pending the ECML/PKDD room allocation Invited Speakers * Artur d?Avila Garcez, City University of London, UK * Other invited speakers soon to be confirmed. Organization General organizers / Program Chairs (ordered by last name) Pavel Brazdil, University of Porto, Portugal Henry Gouk, University of Edinburgh, Scotland Jan N. van Rijn, Leiden University, The Netherlands Md Kamruzzaman Sarker, University of Hartford, USA Call For Papers This workshop explores different types of meta-knowledge, such as performance summary statistics or pre-trained model weights. One way of acquiring meta-knowledge is by observing learning processes and representing it in such a way that it can be used later to improve future learning processes. AutoML systems typically explore meta-knowledge acquired from a single task, e.g., by modelling the relationship between hyperparameters and model performance. Metalearning systems, on the other hand, normally explore metaknowledge acquired on a collection of machine learning tasks. This can be used not only for selection of the best workflow(s) for the current task, but also for adaptation and fine-tuning of a prior model to the new task. Many current AutoML and metalearning systems exploit both types of meta-knowledge. Neuro-symbolic systems explore the interplay between neural network-based learning and symbol-based learning to get the best of those two types of learning. While doing so, it tries to use the existing knowledge as a concrete symbolic representation or as a transformed version of the symbolic representation suited for the learning algorithm. The goal of this workshop is to explore ways in which ideas can be cross-pollinated between the AutoML/Metalearning and neuro-symbolic learning research communities. This could lead to, e.g., systems with interpretable meta-knowledge, and tighter integration between machine learning workflows and automated reasoning systems. Main research areas: Controlling the learning processes Definitions of configuration spaces Few-shot learning Elaboration of feature hierarchies Exploiting hierarchy of features in learning Meta-learning Conditional meta-learning Meta-knowledge transfer Transfer learning Transfer of prior models Transfer of meta-knowledge between systems Symbolic vs subsymbolic meta-knowledge Neuro-symbolic learning Explainable and interpretable meta-learning Explainable artificial intelligence Important Dates Workshop Paper Submission Deadline: 12 June 2023 Workshop Paper Author Notification: 17 July 2023 Camera Ready Deadline: End of July 2023 Workshop: September 18, 2023 (afternoon) Submission This workshop hosts two tracks: * Original paper track: Authors can submit novel papers, that have not been accepted elsewhere. Please format your submission according to the LaTeX Lecture Notes in Computer Science format, maximal 12 pages. * Poster of already published work: Authors can apply for a poster spot for a paper that has recently (less than 2 years) been published elsewhere. During submission, you send a link to the already published version of the work, and the peer-review will determine whether it is a good match based on the topic. Submissions go through the Conference Management Tool. Format of the Workshop The workshop will last a half a day. It will include: * Invited talks * Short oral presentations * Poster session * Panel discussions on ?Neuro-symbolic Metalearning and AutoML? Proceedings Accepted papers can decide to opt-in to the formal workshop proceedings of ECML/PKDD 2023. The authors of accepted papers can decide whether they wish to have their full paper included or not. In the latter case, publication of a short abstract would be possible. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pete at petelewis.com Wed May 10 16:26:38 2023 From: pete at petelewis.com (Pete Lewis) Date: Wed, 10 May 2023 16:26:38 -0400 Subject: Connectionists: Interdisciplinary Postdoctoral Research Fellow Opportunity Message-ID: <93f606bf-15a2-f163-3295-f0620a1bbdbd@petelewis.com> Dear all, As part of a new Canadian New Frontiers in Research Fund project 'Reimagining Forensic Bloodstain Pattern Analysis from the Bottom-Up', we are looking to hire a postdoctoral research fellow to work on unsupervised learning for crime-scene-related bloodstain image data. The position is joint between the Trustworthy AI Lab and Forensic Chemistry and Materials Lab at Ontario Tech University, in Oshawa, Ontario (just outside Toronto). The successful applicant will also be working in partnership with organizations from across the criminal justice system. For more details and to apply, please see here: https://ontariotechu.csod.com/ux/ats/careersite/4/home/requisition/575?c=ontariotechu Or reply to me for an informal chat. Best wishes, Peter From interdonatos at gmail.com Thu May 11 04:15:30 2023 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 11 May 2023 10:15:30 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Participation_FRCCS_2023_?= =?utf-8?q?=E2=80=93_May_30-June_02_Le_Havre_France?= Message-ID: The FRCCS 2023 Conference will be held at Le Havre Normandy University in the beautiful city of Le Havre , France. It is the 3rd event of the series, sponsored by CSS France . Please join us to learn about the latest research, innovations, and insights from experts in the field at the FRCCS 2023 conference. Six Keynote Speakers will present the latest developments and research topics. Luca Maria Aiello ITU Copenhagen Denmark Ginestra Bianconi Queen Mary University UK V?ctor M. Egu?luz University of the Balearic Islands Spain Adriana Iamnitchi Maastricht University Netherlands Rosario N. Mantegna Palermo University Italy C?line Rozenblat University of Lausanne Switzerland More details at: https://iutdijon.u-bourgogne.fr/ccs-france/speakers/ We prepared an exciting program with around 60 top contributions presented in 11 oral sessions and 20 top contributions in 2 poster sessions. More details at: https://iutdijon.u-bourgogne.fr/ccs-france/program-3/ REGISTRATION is OPEN https://iutdijon.u-bourgogne.fr/ccs-france/registration/ And take a chance to visit Normandy See you very soon in Le Havre for fruitful exchanges! The general Chairs Cyrille Bertelle LITIS, Normastic, Le Havre Roberto Interdonato CIRAD, UMR TETIS, Montpellier -------------- next part -------------- An HTML attachment was scrubbed... URL: From yj.choi at asu.edu Thu May 11 04:19:29 2023 From: yj.choi at asu.edu (YooJung Choi) Date: Thu, 11 May 2023 01:19:29 -0700 Subject: Connectionists: [CFP] TPM @ UAI 2023: The 6th Workshop on Tractable Probabilistic Modeling Message-ID: ****The 6th Workshop on Tractable Probabilistic Modeling (TPM): Building Bridges****** https://tractable-probabilistic-modeling.github.io/tpm2023/ For AI and ML systems aimed to assist decision-making in real-world scenarios, it is crucial to perform complex reasoning under uncertainty. Moreover, in safety-critical settings, such as applications in healthcare and finance, the reasoning needs to be reliable and efficient. The emerging field of tractable probabilistic models (TPMs) is a very appealing approach in such scenarios as TPMs enable reliable (exact or coming with approximation guarantees) and efficient reasoning for a wide range of tasks, by design. The spectrum of TPMs consists of a wide variety of techniques including models with tractable likelihoods (e.g., normalizing flow and autoregressive models), tractable marginals (e.g., bounded-treewidth models and determinantal point processes), and more complex tractable reasoning tasks (e.g., probabilistic circuits) and is dynamically evolving. This year?s workshop on Tractable Probabilistic Modeling aims to build bridges between the multitude of techniques for tractable reasoning and fields in which tractability is key (e.g., probabilistic programming, approximate Bayesian inference, causal reasoning, and complex systems). The workshop will be held in a *hybrid *format on August 4th, 2023, co-located with UAI 2023 in Pittsburgh, PA, USA. *Important Dates* - *Submission deadline: *June 5th, 2023 AoE - *Author Notification: *July 4th, 2023 AoE - *Workshop date: *August 4th, 2023 - *Camera-ready deadline: *August 18th, 2023 AoE *Topics of interest* Prospective authors are invited to submit *novel research, retrospective papers, *or *recently accepted papers *on relevant topics including, but not limited to: - New tractable representations in logical, continuous, and hybrid domains - Learning algorithms for TPMs - Theoretical and empirical analysis of TPMs - Connections between TPM classes - TPMs for responsible, robust, and explainable AI - Approximate inference algorithms with guarantees - Successful applications of TPMs to real-world problems *Submission Instructions* Original papers and retrospective papers are required to follow the style guidelines of UAI 2023 and should be using the following adjusted template TPM format . Submitted papers should be up to 4 pages long, excluding references. Already accepted papers can be submitted in the format of the venue they have been accepted to. Supplementary material can be put in the same pdf paper (after references); it is entirely up to the reviewers to decide whether they wish to consult this additional material. All submissions must be electronic (through the link below), and must closely follow the formatting guidelines in the templates; otherwise they will automatically be rejected. Reviewing for TPM 2023 is single-blind; i.e., reviewers will know the authors? identity but authors won't know the reviewers' identity. However, we recommend that you refer to your prior work in the third person wherever possible. We also encourage links to public repositories such as GitHub to share code and/or data. For any questions, please contact us at tpmworkshop2023 at gmail.com Submission Link: https://openreview.net/group?id=auai.org/UAI/2023/Workshop/TPM *Organizers* YooJung Choi (Arizona State University) Eric Nalisnick (University of Amsterdam) Martin Trapp (Aalto University) Fabrizio Ventola (TU Darmstadt) Antonio Vergari (University of Edinburgh) ****Please consider sharing this CFP in your network**** -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed May 10 08:47:38 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 10 May 2023 15:47:38 +0300 Subject: Connectionists: =?utf-8?q?New_edition_of_the_book_=E2=80=9CArtifi?= =?utf-8?q?cial_Intelligence_Science_and_Society=E2=80=9D_=28Amazon?= =?utf-8?q?/Kindle=29__treating_ChatGPT=2C_Large_Language_Models_?= =?utf-8?q?=28LLMs=29__and_Artificial_General_Intelligence_=28AGI?= =?utf-8?q?=29?= References: <006701d97f6a$2ad7b1a0$808714e0$@csd.auth.gr> <004001d98261$ca08c030$5e1a4090$@csd.auth.gr> Message-ID: <2d3001d9833d$9ae78c50$d0b6a4f0$@csd.auth.gr> New edition of the book ?Artificial Intelligence Science and Society Part A? (Amazon/Kindle) treating ChatGPT, Large Language Models (LLMs) and Artificial General Intelligence (AGI) Dear AI professional, student, enthusiast, a new edition (May 2023) of ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology? (paperback and e-book versions only) is now available in Amazon/Kindle. Thought the first edition (October 2023) of this 4-volume book was quite prophetic on various AI topics (e.g., on the development of Deep Arts, or the very slow adoption of Metaverse), I felt the need to add two sections in its Part A on Large Language Models (LLMs) and Artificial General Intelligence (AGI) to clarify issues that sprang out of ChatGPT success, primarily on AI technophobia and on the long-term AI prospects. AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment. The new book ?Artificial Intelligence Science and Society? consists of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner: 1. ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology? https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 2. ?Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans? https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 3. ?Artificial Intelligence Science and Society Part C: AI Science and Society? https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 4. ?Artificial Intelligence Science and Society Part D: AI Science and the Environment? https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 They are self-sufficient and require no mathematical/scientific background. The four book volumes debate and try to forecast the future of AI Science and Engineering, as well as the upcoming Mind and Social Science and Engineering. They are published in Amazon/Kindle. Here is just an indicative list of few of the debated topics and grand AI challenges: * Will Artificial General Intelligence replace human intelligence? (Part A) * Are the Large Language Models the way forward to reconcile Machine learning and Symbolic AI? (Part A) * Is AI Science and Technology a scientific discipline in its own right? (Part A) * How can we quantify knowledge? (Part A) * Can Virtual Reality truly empower meta-societies or is it just a hype? (Part A) * Can AI-powered human-centred computing surpass human intelligence? (Part A) * Can we create self-conscious machines? (Part B) * Can Mind and Social Engineering manipulate human behaviour and social functions? (Part B) * How do social media facilitate medical disinformation? (Part B) * What are the envisaged effects of AI and IT on our personal relations and sexual life? (Part B) * How can we not only protect but also monetize our personal data? (Part C) * Can AI help devising new political systems? (Part C) * How are irrationalism, anti-elitism, and social media disinformation related? (Part C) * Can new technologies ignite social revolutions? (Part C) * Is life and intelligence due to matter complexity? (Part D) * Can we patch parts of our brain? (Part D) * Is climate controllable through Geoengineering? (Part D) * Can humanity progress without resorting to energy-intensive technologies? (Part D) Part A Table of contents (297 pages): Data, Signals, Systems, Mathematics, Data Acquisition, Processing and Analysis, Data Storage and Search, Computer Vision, Data Visualization, Computer Graphics and Animation, Virtual and Augmented Reality, Audio, Speech, and Text Analysis, Machine Learning. Pattern Recognition, Deep Learning, Information, Metadata, Semantics, Concepts, Symbolic Artificial Intelligence, Knowledge, Anthropocentric Computing, Robotics, Autonomy, Networks and the Internet, The World Wide Web, Social Media, Network analytics, Swarm Intelligence, Software, Computing, Communications, Security, Blockchain, Large Language Models and Artificial General Intelligence. Part B Table of contents (276 pages): Nervous System, Brain, Brain imaging, Brain connectome, Neural and Brain Models, Sensing, Human Senses, Perception, Interoception, Physical Intelligen, Action and Motion, Mind, Cognition, Memory, Intelligence, Affect, Affective Computing, Language and Speech, Written Language and Communication, Consciousness and Self-awareness, Self-aware Machines, Computational Brain Modeling Tools, Brain-Inspired Computing, Medicine, Medical Genomics, Medical Data, Medical Disinformation, Pharmaceutics and Drug Discovery, Anti-vaccination Movement, Ambient Assisted Living, Minors, Sex, Pornography, Social Flexibility and Personal Relations. Part C Table of contents (335 pages): Identity, Intellectual Property,Privacy protection, Fake data, News and Agora, Media Production and Streaming, Music and Dance, Digital Humanities, Ex machina Arts, Computational Aesthetics, Research, Research Dissemination, Morphosis, Educational Methods, Education and Society, Truth, Justice, Digital Crime, Digital Markets,Online Marketing, Finance and Economics, AI and IT Economics, Cryptocurrencies, Non-Fungible Tokens, Digital Governance, Industry, Labor, Meta-agoras and Meta-societies, Politics and Democracy, Computational Politics, Societal and Political Networks, Social Activism, Irrationalism and Anti-elitism, Virtual Communities and Disinformation, Political Activism, Computational History, Computational Social Science, Ethics and Philosophy, Religion, Religious Practice and AI, Religious Art, War and Peace, Advanced Warfare, Revolution, Geopolitics, Trustworthy AI, Information and Knowledge society. Part D Table of contents (177 pages): Space and Time, Life, Bioinformatics, Systems Biology, Animal and Plant Intelligence, Bio-inspired Machines, Epidemiology, Microcosm, Ecology, Agriculture, Sustainable and Precision Agriculture, Organic Farming, Earth Sensing, Meteorology, Climate Change, Archaeology and Restoration, Smart Cities, Land Transportation, Shipping, Aviation, Renewable Energy, Green Information Technologies, Sustainable Earth Resources, Geology and Seismology, Space and Astronomy, Law of Complexity. About the author: This book is a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022). This message is sent only once. I apologize if you receive it through multiple communication channels. Enjoy! Prof. Ioannis. Pitas pitas at csd.auth.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Wed May 10 16:46:23 2023 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Wed, 10 May 2023 22:46:23 +0200 Subject: Connectionists: 9th SIPTA seminar: Thierry Denoeux ("Random fuzzy sets and belief functions: application to machine learning") 24th May Message-ID: <15A40566-E53A-4E7D-B1D1-85F75E3820C1@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming ninth SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The ninth seminar will take place on the 24th of May (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/88348911948 For this ninth seminar, we are very happy to have Thierry Denoeux as our speaker. Frank Riedel is Professor at the Universit? de Technologie de Compi?gne, as well as senior member of the Institut Universitaire de France, editor in chief of the International Journal of Approximate Reasoning, and president of the Belief Functions and Applications Society. He has made many core contribution to the theory of belief function and its use in engineering, machine learning and statistics. On the 24th of May, at 15:00 CET:paris time (up to 17:00 CET, with a talk duration of 45min/1h), he will talk about "Random fuzzy sets and belief functions: application to machine learning?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 24th May, at 15:00 CET, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=Vd_V5u52s_k. See you at the seminar! S?bastien, Enrique and Jasper -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Universit? de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Avenue de Landshut F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ==================================== From srekcebrednas at gmail.com Thu May 11 05:13:20 2023 From: srekcebrednas at gmail.com (Sander Beckers) Date: Thu, 11 May 2023 11:13:20 +0200 Subject: Connectionists: [CFA] Causality for Ethics and Society Message-ID: <10679234-64DA-49BD-A144-4C33ABFA94F3@gmail.com> Workshop on Causality for Ethics and Society (July 24-25, Munich) Website: https://www.mcmp.philosophie.uni-muenchen.de/events/workshops/container/causality_ethics_society_2023/index.html Idea & Motivation Causality plays a fundamental role in understanding many key ethical notions, such as responsibility, interpretability, fairness, harm, and related concepts. Causality is also fundamental to understanding broader social challenges, such as discrimination, inequality, the impact of artificial intelligence on society, and others. The rise of causal modeling methods has opened up entirely novel ways of thinking about the role that causality plays in addressing all of these issues, with the potential to both benefit from and contribute to a wide range of disciplines. Causal models are already being actively employed in addressing important social challenges. In the sociological and legal literature on discrimination, causal methodology has been central both to conceptual discussions of whether demographic variables such as race, gender, and age can be causes, and in addressing thorny methodological disputes about how to detect discrimination using statistical data. Within philosophy and artificial intelligence, causal models have provided a basis for more rigorously theorizing about causal explanations, moral responsibility, and harm. Finally, causal models have contributed to discussions of algorithmic fairness by combining traditional statistical approaches to discrimination with causal approaches that focus on the use of proxies, path-specific effects, and counterfactuals. This workshop will bring together participants from a range of academic fields in order to present and discuss the most recent developments on employing formal causal reasoning in ethics and in social contexts. Possible topics include, but are not limited to the following topics. ? Algorithmic fairness, harm, or bias, through a causal lens ? Causal models and moral responsibility ? The causal analysis of discrimination ? Applications to AI and deep learning ? The role of values in causal modeling In addition to these possibilities, we will consider any submission employing causal models in addressing an ethical or socially relevant problem. We welcome contributions debating the applicability of causal concepts within a particular domain as well as proposals for modifying existing causal frameworks for addressing novel problems. As the workshop will include speakers from a wide range of academic fields, we encourage contributions that address problems arising in interdisciplinary contexts. Confirmed Speakers Elias Bareinboim (Computer Science, Columbia University) Joseph Halpern (Computer Science, Cornell University) Lily Hu (Philosophy, Yale University) Niki Kilbertus (Computer Science, TU Munich) Kasper Lippert-Rasmussen (Political Science, Aarhus University) Call for Abstracts If you are interested in presenting at the workshop, please submit a blinded abstract of no more than 1000 words to Causalityforsociety+submission at gmail.com by May 31st. Decisions will be made shortly thereafter. Registration Those interested in attending should send an e-mail to Causalityforsociety at gmail.com Location LMU M?nchen Ludwigstra?e 31 80539 M?nchen Organizers Sander Beckers (University of Amsterdam) Naftali Weinberger (MCMP/LMU Munich) General questions about the conference can be sent to Causalityforsociety at gmail.com Acknowledgement The conference is supported by the Alexander von Humboldt Foundation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From enietolagunes1987 at gmail.com Thu May 11 04:57:03 2023 From: enietolagunes1987 at gmail.com (Enrique Nieto Lagunes) Date: Thu, 11 May 2023 10:57:03 +0200 Subject: Connectionists: Invitation to RadiaCap Research Project. -NonLucrative- -COPS- Message-ID: Hello Dear Members of the Neuroscience community. I would like to pleasantly invite you to the RadiaCap Research Project, that it's a non-lucrative and a personal initiative to promote the computational coadjuvance for assist the Forces of the Order under the Military Sciences subject. Please feel free to ask any kind of question in between, and download the Flyer of the Invitation, try to share it with other kind of friends, that their working taxonomical matter is enlisted in the first page of the document. The Invitation's Flyer download from: https://bit.ly/41dpNYj Thank you so much for your time. Enrique Nieto L. Researcher. -------------- next part -------------- An HTML attachment was scrubbed... URL: From loizos at ouc.ac.cy Thu May 11 08:15:59 2023 From: loizos at ouc.ac.cy (Loizos Michael) Date: Thu, 11 May 2023 12:15:59 +0000 Subject: Connectionists: 2nd CFP: Diversity-Aware Hybrid Human-Artificial Intelligence / Workshop, Shared Task, Special Issue / Deadline: May 15th Message-ID: Dear colleagues, The HHAI 2023 Workshop on Diversity-Aware Hybrid Human-Artificial Intelligence (including a special session / shared task on the analysis of social interaction data) is accepting short papers / extended abstracts on interdisciplinary work by May 15th. Submission through EasyChair: https://easychair.org/conferences/?conf=dhhai2023 Publication of accepted papers: HHAI 2023 CEUR workshop post-proceedings. Extended versions of selected workshop / shared-task papers will be invited to: the DHHAI Special Issue of AI Communications: The European Journal on AI. Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Thu May 11 14:00:31 2023 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Fri, 12 May 2023 02:00:31 +0800 Subject: Connectionists: [CFP] IEEE ICT-DM 2023, Cosenza, Italy - Sept. 13-15, 2023 Message-ID: [Our apologies for multiple copies of this email] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The 8th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) - Cosenza, Italy, 13-15 September 2023 https://ict-dm2023.inria.fr/index.html %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Track 4: Crowdsourcing and social media for disaster & crisis management https://ict-dm2023.inria.fr/tracks/four.html Scope: Natural disasters like flooding and earthquakes, as well as terrorism attacks and industrial disasters, should be dealt with in a fast and effective manner. In such scenarios, first responders, news agencies and the victims are used to exploit social media as a first ?communication channel? to disseminate situational information in a reliable way, reaching a huge pool of users. Similarly, crowdsourcing applications engage user communities in emergency response and disaster management for natural hazards. However, some drawbacks may occur in such social tools, thus limiting authorities and disaster management stakeholders to use social media data to make decisions. As an instance, social media crowdsourcing data should be georeferenced to improve situational awareness, and the positioning error should be very low. In addition, social media data should be merged with other external data sources and authoritative data to establish geographic relationships between the disaster event and social media messages. Also, the dissemination of a message should occur between trusted and reliable nodes, in order to be sure the disseminated information is secure. As a solution, the main goal is to handle a set of learning materials such as methods, tools and guidelines on the use of social media and crowdsourcing in disasters in an effective manner, especially for what concerns security and trustworthiness of data information. So, this track wants to stimulate the scientific community to propose new technical studies that may address different topics such as: - Secure and reliable communications in social media and crowdsourcing for disaster & crisis management - Opportunistic data dissemination in social media and crowdsourcing tools - Network architectures for social media and crowdsourcing - Machine learning techniques in social media and crowdsourcing for disaster & crisis management - Energy harvesting, storage, recycling, and wireless power transfer for social IoTs in disaster and crisis - Fog/edge computing and social IoT convergent services, systems, infrastructure, and techniques for disaster and crisis management - Agile, intelligent, and resilient aerial (swarm) social-inspired communications and control in disaster crisis - Localization and positioning with social IoT in disaster/crisis areas - Social-aware self-organizing network optimization for efficient crowdsourcing in mobile social networks - Security, privacy, and trust in social IoT-assisted disaster/crisis management systems - Disaster/crisis data aggregation, dissemination, collection, and mining via crowdsourcing and social media in multi-hop heterogeneous networks - Crowdsourcing, gamification, and social media incentivization for natural hazard prevention, mitigation, and management - Real-time query processing, data fusion, and event summarization for multi-source disaster data and social media - Big data analysis, AI and machine/deep learning models with Age of Information (AoI) in crowdsourcing and social media analysis - Innovative crowdsourcing applications and social network services for disaster and crisis management Track Chair - Anna Maria Vegni, University of Roma Tre, Italy - De-Nian Yang, Institute of Information Science, Academia Sinica, Taiwan Important dates - Full/short paper submission: May 16, 2023 - Acceptance notification: July 23, 2023 - Camera ready: August 20, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Thu May 11 09:01:42 2023 From: info at incf.org (INCF) Date: Thu, 11 May 2023 15:01:42 +0200 Subject: Connectionists: Registration, abstracts, & investigator-led abstracts open for INCF Neuroinformatics Assembly 2023! Message-ID: ***Please share with your networks*** Join us for Assembly, hosted once again on the Gather platform! We are currently looking for speakers for two investigator-led sessions, poster presenters, and of course Assembly registrants. Our annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience. Submit an abstract (poster) Submit an abstract (investigator-led session) Our program this year stretches from September 19 to September 21, and is centered around workshops proposed by our community. Sessions comprise presentations, investigator-led talks, round-table discussions, tutorials, and hands-on workshops. Register for Assembly See the program Learn more You don?t have to be an INCF member to participate, but this is a good occasion to become one - registration for Assembly is heavily discounted for members! Become a member Important dates: May 11: Abstract submission opens May 11: Registration opens Jun 23: Deadline for abstract submission Sep 18-20: Neuroinformatics Assembly 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Jakob.Macke at uni-tuebingen.de Thu May 11 12:43:39 2023 From: Jakob.Macke at uni-tuebingen.de (Jakob Macke) Date: Thu, 11 May 2023 18:43:39 +0200 Subject: Connectionists: Endowed professorship "AI-based Modeling in Neurology" References: Message-ID: <5A492472-B99E-4CBD-8167-E2C400985F19@uni-tuebingen.de> Dear all, we are currently advertising an Endowed professorship "AI-based Modeling in Neurology" (https://www.academics.com/jobs/endowed-professor-w3-of-ai-based-modeling-in-neurology-universitaetsklinikum-tuebingen-tuebingen-1074302#SPCoLCx0w7xiaW5nZW4=) at the University of T?bingen. We are looking for candidates that perform innovative research on artificial intelligence (AI) methods for modelling the healthy and diseased brain from a translational and clinical perspective. This can include the development and use of brain simulations to better understand healthy brain function and the effects of neurological diseases (e.g. epilepsy, Alzheimer's, Parkinson's) and integrating simulations and clinical neurodata (e.g. functional MRI imaging, EEG, electrophysiology) with the help of machine learning. T?bingen offers a first-rate environment at the intersection of neuroscience and AI/ML research with the Excellence Cluster for Machine Learning in Science, the T?bingen AI Center, the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, the Hertie Institute for Clinical Brain Research and many other institutions! We are looking forward to your application by May 19th. Best, Jakob Macke & Philipp Berens Jakob Macke Professor of Machine Learning in Science University of T?bingen www.mackelab.org Philipp Berens Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of T?bingen www.berenslab.org From hugo.o.sousa at inesctec.pt Thu May 11 10:07:48 2023 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Thu, 11 May 2023 14:07:48 +0000 Subject: Connectionists: =?windows-1252?q?IACT=9223=40SIGIR=3A_Deadline_Ex?= =?windows-1252?q?tension?= Message-ID: *** Apologies for cross-posting *** ++ DEADLINE EXTENSION ++ ============================================================================================================================= The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT?23) The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Workshop website: https://en.sce.ac.il/news/iact23 Date: July 27, 2023 Location: Taipei, Taiwan. Paper submission deadline: Extended to May 23, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23 To bring the research community's attention to the limitations of current models in recognizing and characterizing AI vs. human authors, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster scientific advances in all aspects of author characterization. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - Full research papers: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the workshop topics. - Short research papers: up to 5 pages. It can describe ongoing research, resources, and demos. - Negative results papers: up to 5 pages. Highlighting tested hypotheses that did not get the expected outcome is also welcomed. - Position papers: up to 5 pages. Discussing current and future research directions. The length constraints do not include references. The submissions must be anonymous and will be peer-reviewed by at least two program committee members. Workshop Format: The authors of accepted papers will be given 15 minutes for a short oral presentation. The workshop will run as a hybrid event to allow virtual attendance and meet the SIGIR format. Workshop Topics: Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following: - Differentiation between AI-generated content and human-generated content and bot profiling - Characterization of conversational agents - Feature detection of authors for human vs. AI determination - Prompt understanding and recognition in language models - Personalized question-answering and conversation generation - Troll identification on social media - Review authenticity estimation - Multi-modal, multi-genre, and multilingual author analysis - Character analysis, description, and representation in narrative texts - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author characterization annotation schema - Evaluation of implicit author characterization - Author characterization in low-resource languages and under-studied domains - Accountability and regulation of AI-based information extraction, retrieval, and content generation - Copyright issues of AI-generated content - Ethical and privacy implications of author characterization and implicit information extraction - Fairness and bias of AI-generated content Organizing Committee: Marina Litvak - marinal at ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Irina Rabaev - irinar at ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Al?pio M?rio Jorge - amjorge at fc.up.pt; University of Porto; Porto, Portugal Ricardo Campos - ricardo.campos at ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal Adam Jatowt - adam.jatowt at uibk.ac.at; University of Innsbruck; Innsbruck, Austria Invited Speakers: Prof. Mark Last - Ben-Gurion University of the Negev, Israel Prof. Dr. Valia Kordoni - Humboldt-Universit?t Berlin, Germany Contacts: Dr. Marina Litvak: litvak.marina at gmail.com Dr. Irina Rabaev: irinar at ac.sce.ac.il All the best, Hugo Sousa on behalf of the IATC'23 Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From mariya.k.toneva at gmail.com Fri May 12 05:27:45 2023 From: mariya.k.toneva at gmail.com (Mariya Toneva) Date: Fri, 12 May 2023 11:27:45 +0200 Subject: Connectionists: 6 PhD + 1 postdoc position in neuroexplicit models Message-ID: The Research Training Group 2853 ?Neuroexplicit Models of Language, Vision, and Action? is looking for 6 PhD students and 1 postdoc October 2023 or later Neuroexplicit models combine neural and human-interpretable (?explicit?) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (?Language?), computer vision (?Vision?), and planning and reinforcement learning (?Action?) through the use of neuroexplicit models and investigate the cross-cutting design principles of effective neuroexplicit models (?Foundations?). The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbr?cken, Germany. The positions are funded as follows: - PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master?s thesis or relevant publications. - The postdoc will initially be funded for three years, with the possibility of extension up to five years, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG?s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics J?rg Hoffmann, Saarland University - AI Planning Eddy Ilg, Saarland University - Computer Vision, Machine Learning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 31 May 2023 to bewerbung at uni-saarland.de. Include the reference number W2298 for the postdoc position and the reference number W2299 for the PhD positions. We aim to conduct job interviews in July (for a start in October) and September (for a later start). The legally binding version of this job ad is at https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaftler/W2298.pdf (postdoc) and https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaftler/W2299.pdf (PhD), respectively. For details on what materials to submit with your application and all other information about the RTG, please see our website: https://www.neuroexplicit.org/jobs/#phd-2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 13 03:22:12 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 13 May 2023 09:22:12 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Summer: early registration May 26 Message-ID: <2135359339.37836.1683962533048@webmail.strato.com> ************************************************************************ 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://deeplearn.irdta.eu/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ************************************************************************ Early registration: May 26, 2023 ************************************************************************ FRAMEWORK: DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested. SCOPE: DeepLearn 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/ STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration Ivan Oseledets (Skolkovo Institute of Science and Technology), [introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild Kaushik Roy (Purdue University), [introductory/advanced] Neuromorphic Computing Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures Jiliang Tang (Michigan State University), [introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2023su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in BigDat 2023 Summer. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2023su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From aykut.erdem at gmail.com Sat May 13 10:28:38 2023 From: aykut.erdem at gmail.com (Aykut Erdem) Date: Sat, 13 May 2023 17:28:38 +0300 Subject: Connectionists: Call for Papers: INLG/SIGDIAL Workshop on Multimodal Multilingual NLG Message-ID: ===================================================================== Workshop on Multimodal, Multilingual Natural Language Generation In conjunction with INLG/SIGDIAL 2023 ===================================================================== Prague, 12 September, 2023 https://synalp.gitlabpages.inria.fr/mmnlg2023/ ====================================================================== We invite the submission of long and short papers for the first Workshop on Muiltimodal, Multilingual NLG (MM-NLG), which will be held in Prague, in conjunction with the joint meetings of the 16th International Conference on Natural Language Generation (INLG 2023) and the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial 2023). Workshop goals and topics This event aims to bring together researchers working on text generation from multimodal input data. The workshop also emphasises multilinguality as an ongoing, open challenge for text generation methods, especially for languages which are relatively under-resourced. We therefore invite papers on all topics related to text generation from multimodal inputs, multilingual text generation, or a combination of the two. We welcome submissions which focus on multimodal and/or multilingual generation in both dialogue and non-interactive settings. NLG and multimodal inputs ========================== By Multimodal NLG, we intend to capture a broad variety of input data types and formats from which text can be generated using neural, statistical or rule-based methods. For example, while several contemporary NLG models generate based on textual prompts or prefixes, others rely on structured inputs which can take the form of `flat' semantic representations, RDF triples, etc. In a different vein, vision-to-text models generate captions, paragraphs or short narratives from visual inputs such as images or video. Finally, there is a long tradition in data-to-text NLG which seeks to generate text from numerical or other, less structured inputs. The sheer diversity is also reflected in the broad range of datasets available for training and evaluating NLG models. This workshop will provide a forum to discuss NLG research based on any input modality, fostering a debate on the directions in which the field has developed, and especially the relationship between different NLG tasks, as characterised by the variety of possible inputs, among others. NLG and multilingual outputs ============================ As the field has become increasingly dominated by large, pretrained language models, it has become increasingly evident that not all languages are on a level playing field. For example, when training data is opportunistically sourced from the web, data for certain languages is often very limited, and highly noisy. On the other hand, developing curated multilingual data for under-represented languages is very challenging, as some recent efforts (for example, the BLOOM model) have shown. This workshop will provide an opportunity for researchers to discuss challenges and report on recent work targeting NLG in multiple languages, including, but not limited to, data-lean scenarios, where transfer learning, few-shot and zero-shot approaches would be expected to play an important role. Workshop format =============== This one-day workshop will consist of an oral and a poster session, together with a special session The oral session will feature talks by two invited speakers, as well as regular paper presentations. The workshop will be hybrid. We encourage all participants to be present, but will provide online access for those who are unable, or prefer not to travel. Special session: WebNLG Challenge on Under-Resourced Languages ========================================================= In line with the goals of MM-NLG, the workshop will include a special session dedicated to the recently launched, ongoing WebNLG 2023 Challenge, which focuses on generation for under-resourced languages in few-shot and zero-shot settings. More info here: https://synalp.gitlabpages.inria.fr/webnlg-challenge/challenge_2023/ Submission formats =================== We solicit two kinds of papers: - Long papers must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. - Short papers must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. Submissions should follow ACL Author Guidelines and policies for submission, review and citation, and be anonymised for double blind reviewing. See https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at https://2023.aclweb.org/calls/style_and_formatting Authors must honour the ethical code set out in the ACL Code of Ethics, available at https://www.aclweb.org/portal/content/acl-code-ethics If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find this checklist of use: https://aclrollingreview.org/responsibleNLPresearch/ Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the reproducibility checklist at https://2021.aclweb.org/calls/reproducibility-checklist/ Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2023 website. Paper submission ================= The workshop will only accept direct submissions. Submissions can be made to the MM-NLG START website: https://softconf.com/n/mmnlg2023/ Accepted papers will be published in the Workshop proceedings on the ACL Anthology. Important dates ================ - Deadline for long and short papers: 16 July, 2023 - Notification of acceptance: 6 August, 2023 - Deadline for camera-ready papers: 14 August, 2023 - MM-NLG Workshop: 12 September, 2023 Organising committee ====================== Anya Belz, ADAPT, Dublin City University, Ireland Claudia Borg, University of Malta, Malta Liam Cripwell, CNRS/LORIA and Lorraine University, France Aykut Erdem, Koc University, Turkey Erkut Erdem, Hacettepe University, Turkey Claire Gardent, CNRS/LORIA, France Albert Gatt, Utrecht University, The Netherlands John Judge, ADAPT, Dublin City University, Ireland William Soto-Martinez, CNRS/LORIA and Lorraine University, France Support and acknowledgements ============================ This workshop is a joint initiative which has received the support of the following projects: - LT-Bridge funded by the EU Horizon 2020 Work Programme Spreading Excellence and Widening Participation (WIDESPREAD) 2018-2020 Grant No. 952194 https://lt-bridge.eu/ - The xNLG AI Chair on Multilingual, Multi-Source Text Generation funded by the French National Research Agency (Gardent; ANR-20-CHIA-0003), Meta and the Region Grand Est https://members.loria.fr/CGardent/xnlg.html - Multi3Generation: Multimodal, Multi-task, Multi-Lingual Natural Language Generation COST Action CA18231 https://multi3generation.eu/ ? Assoc. Prof. Aykut Erdem Ko? University College of Engineering Sariyer, TR-34450, Istanbul, Turkey https://aykuterdem.github.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Sat May 13 14:33:02 2023 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sat, 13 May 2023 20:33:02 +0200 Subject: Connectionists: CALL FOR PAPERS - The Distributed Ghost - Workshop at ALIFE 2023 - Submission Deadline: June 1st Message-ID: <20230513203302.Horde.Rmbueeph4B9kX9feqyC0FwA@webmail.dmi.unict.it> *Workshop: *The Distributed Ghost ? Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence* *Venue: ALIFE 2023, Sapporo, Japan *Date: July 24-28, 2023 Website: https://www.nichele.eu/ALIFE-DistributedGhost This workshop is an initiative of the IEEE CIS Task Force on Artificial Life and Complex Adaptive Systems . *Important dates* Submission: June 1st, 2023 Notification: June 15th, 2023 *Scope of the workshop* Distributed dynamical systems such as Cellular Automata and Random Boolean Networks (and everything in between), have long been used as models to understand computation and self-replication in biology, morphogenesis, gene regulation, life-as-it-could-be, and the universe. Such complex systems models have been extensively studied mathematically and experimentally in all their different variations, such as synchronous and asynchronous updates, dynamic automata networks that can grow and change their structure including components and interconnection topology, as well as their robustness. In [1], A. Wuensche investigates the basins of attraction of cellular automata (CA) and random Boolean networks (RBN), and even suggests that they are The Ghost in the Machine. Recent advances of such models, including continuous CA such as Lenia and neural-based CA, have been proposed as substrates to study the emergence of a more general intelligence [2, 3], thanks to their propensity to support properties such as self-organization, emergence, and open-endedness. - What can we learn from Cellular Automata and Distributed Dynamical System models about intelligence? - How can Cellular Automata and Distributed Dynamical System models be used to study the emergence of intelligence? This workshop aims at bridging the gap between the ALife community working with CA and distributed dynamical systems, and the broader AI community interested in exploring concepts from complex systems/self-organization/artificial life for AI research and machine learning, including modular robotics such as voxel-based robots. [1] Wuensche, A. (1994). The Ghost in the Machine: Basins of Attraction of Random Boolean Networks . Artificial Life III: SFI Studies in the Sciences of Complexity, vol. VII. Addison-Wesley. [2] Hamon, G., Etcheverry, M., Chan, B. W. C., Moulin-Frier, C., & Oudeyer, P. Y. (2022). Learning sensorimotor agency in cellular automata . [3] Gregor, K., & Besse, F. (2021). Self-organizing intelligent matter: A blueprint for an AI generating algorithm . arXiv preprint arXiv:2101.07627. *Submission instructions* Submissions for contributed talks are in the form of extended abstracts (maximum 2 pages, not including references). The workshop accepts both published and novel works. In case your work has been published earlier, please specify this during the submission process. Accepted abstracts will be published in a booklet hosted on the workshop website. We plan to prepare a special issue in NEJCS (free of charge) with extended versions (full papers) of the novel contributions from the workshop. Submission via EasyChair at this link . *Workshop organizers* - Stefano Nichele *, ?stfold University College, Norway - Hiroki Sayama *, Binghamton University, USA - Chrystopher Nehaniv *, University of Waterloo, Canada - Eric Medvet *, University of Trieste, Italy - Mario Pavone *, University of Catania, Italy -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= OLA 2023 - Int. Conf. on Optimization and Learning 3-5 May 2023, Malaga, Spain http://ola2023.sciencesconf.org/ ========================================================= From lrubchin at iupui.edu Sat May 13 19:23:20 2023 From: lrubchin at iupui.edu (Rubchinsky, Leonid L) Date: Sat, 13 May 2023 23:23:20 +0000 Subject: Connectionists: Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting (CNS*2023) In-Reply-To: References: Message-ID: We are inviting abstracts for the late-breaking poster-only presentations at the 32nd Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023. Late-breaking poster presentation abstracts can be submitted between May 17 and June 15. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin at iupui.edu http://www.math.iupui.edu/~lrubchin *********************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From htlin at csie.ntu.edu.tw Sun May 14 11:14:02 2023 From: htlin at csie.ntu.edu.tw (Hsuan-Tien Lin) Date: Sun, 14 May 2023 23:14:02 +0800 Subject: Connectionists: NeurIPS 2023 Call for Post-Conference Workshops Message-ID: Please check the formal document at https://neurips.cc/Conferences/2023/CallForWorkshops and the guidance link inside. Following the NeurIPS 2023 main conference, workshops on a variety of current topics will be held. We will provide more details in NeurIPS 2023 Guidance for Workshop Proposals. We invite researchers interested in organizing these workshops to submit proposals. Workshop organizers have several responsibilities, including coordinating workshop participation and content, publicizing and providing the program in a timely manner, and moderating the program throughout the workshop. Goals of NeurIPS Workshops Workshops provide an informal, dynamic venue for in-person discussion of work in progress and future directions. Good quality workshops have helped to crystallize common problems and emerging scientific paradigms, explicitly contrast competing frameworks, and clarify essential questions for a subfield or application area. Workshops are a structured means of bringing together people with common interests to form communities. We expect the workshops, in their designated formats, to include some form of community building, and stand apart from other parts of the NeurIPS program, such as Tutorials or Competitions. For each workshop, approximately 7-9 hours of session contents are expected, with considerable free time between the sessions for individual exchange. NeurIPS will host only in-person workshops this year, with full-stack technical support to broadcast the workshop to the online audience. Potential workshop topics range from Machine Learning, Neuroscience, Reinforcement Learning, Computational Social Science & Economics, Learning Theory, Robotics, Probabilistic Models and Inference, Computer Vision, Speech, Natural Language Processing, Emerging Applications for Machine Learning, and Societal Impacts of Artificial Intelligence, as well as any other topic relevant to an appreciable fraction of the NeurIPS community. Detailed descriptions of previous workshops may be found in last year's online schedule. Workshop schedules should encourage lively debates, stimulate the production of new ideas and the discussion of controversial issues. To this end, workshop proposals should be designed to attract a medium-sized audience. Every group considering submitting a workshop must read the NeurIPS 2023 Guidance for Workshop Proposals, which describes the philosophy behind hosting workshops, formatting requirements, details of the selection criteria and process, what is considered a conflict of interest, and other frequently asked questions. We highly recommend that each group utilize the provided template to draft their proposal. Submission Instructions Proposals should be submitted through an application using the OpenReview system at https://openreview.net/group?id=NeurIPS.cc/2023/Workshop_Proposals . Important dates for workshop submissions: Workshop Application Open: Apr 21, 2023 AOE Workshop Application Deadline: May 31, 2023 11:59 PM AOE Workshop Acceptance Notification: Jul 05, 2023 AOE Suggested Submission Date for Workshop Contributions: Sep 29, 2023 AOE Mandatory Accept/Reject Notification Date: Oct 27, 2023 AOE The criteria and process by which proposals will be assessed are described in the NeurIPS 2023 Guidance for Workshop Proposals. Funding NeurIPS does not provide travel funding for workshop organizers or speakers. In the past, some workshops have sought and received funding from external sources to bring in outside speakers. Some complementary registration tickets (the exact number to be announced soon) will be provided to each accepted workshop. Hsuan-Tien, Ismini, Piotr and Yarin NeurIPS 2023 Workshop Chairs workshop-chairs at neurips.cc From vincentthunder2011 at gmail.com Sun May 14 23:03:45 2023 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Mon, 15 May 2023 11:03:45 +0800 Subject: Connectionists: [CFP] IEEE ICT-DM 2023, Cosenza, Italy - Sept. 13-15, 2023 Message-ID: [Our apologies for multiple copies of this email] The 8th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) - Cosenza, Italy, 13-15 September 2023 https://ict-dm2023.inria.fr/index.html Track 4: Crowdsourcing and social media for disaster & crisis management https://ict-dm2023.inria.fr/tracks/four.html Scope: Natural disasters like flooding and earthquakes, as well as terrorism attacks and industrial disasters, should be dealt with in a fast and effective manner. In such scenarios, first responders, news agencies and the victims are used to exploit social media as a first ?communication channel? to disseminate situational information in a reliable way, reaching a huge pool of users. Similarly, crowdsourcing applications engage user communities in emergency response and disaster management for natural hazards. However, some drawbacks may occur in such social tools, thus limiting authorities and disaster management stakeholders to use social media data to make decisions. As an instance, social media crowdsourcing data should be georeferenced to improve situational awareness, and the positioning error should be very low. In addition, social media data should be merged with other external data sources and authoritative data to establish geographic relationships between the disaster event and social media messages. Also, the dissemination of a message should occur between trusted and reliable nodes, in order to be sure the disseminated information is secure. As a solution, the main goal is to handle a set of learning materials such as methods, tools and guidelines on the use of social media and crowdsourcing in disasters in an effective manner, especially for what concerns security and trustworthiness of data information. So, this track wants to stimulate the scientific community to propose new technical studies that may address different topics such as: - Secure and reliable communications in social media and crowdsourcing for disaster & crisis management - Opportunistic data dissemination in social media and crowdsourcing tools - Network architectures for social media and crowdsourcing - Machine learning techniques in social media and crowdsourcing for disaster & crisis management - Energy harvesting, storage, recycling, and wireless power transfer for social IoTs in disaster and crisis - Fog/edge computing and social IoT convergent services, systems, infrastructure, and techniques for disaster and crisis management - Agile, intelligent, and resilient aerial (swarm) social-inspired communications and control in disaster crisis - Localization and positioning with social IoT in disaster/crisis areas - Social-aware self-organizing network optimization for efficient crowdsourcing in mobile social networks - Security, privacy, and trust in social IoT-assisted disaster/crisis management systems - Disaster/crisis data aggregation, dissemination, collection, and mining via crowdsourcing and social media in multi-hop heterogeneous networks - Crowdsourcing, gamification, and social media incentivization for natural hazard prevention, mitigation, and management - Real-time query processing, data fusion, and event summarization for multi-source disaster data and social media - Big data analysis, AI and machine/deep learning models with Age of Information (AoI) in crowdsourcing and social media analysis - Innovative crowdsourcing applications and social network services for disaster and crisis management Track Chair - Anna Maria Vegni, University of Roma Tre, Italy - De-Nian Yang, Institute of Information Science, Academia Sinica, Taiwan Important dates - Full/short paper submission: May 16, 2023 - Acceptance notification: July 23, 2023 - Camera ready: August 20, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cpcourse at biomed.ee.ethz.ch Mon May 15 09:46:00 2023 From: cpcourse at biomed.ee.ethz.ch (Computational Psychiatry Course) Date: Mon, 15 May 2023 13:46:00 +0000 Subject: Connectionists: COMPUTATIONAL PSYCHIATRY COURSE (4th SEPTEMBER - 9th SEPTEMBER 2023) - IN ZURICH OR ONLINE - REGISTRATION OPEN Message-ID: ***COMPUTATIONAL PSYCHIATRY COURSE (4th SEPTEMBER - 9th SEPTEMBER 2023) - IN ZURICH OR ONLINE*** Dear all, We are excited to announce that the next international Computational Psychiatry Course organised by the Translational Neuromodeling Unit(TNU; PI: Prof. Dr. Klaas Stephan) at the ETH and University of Zurich will take place from 4th September ? 9th September 2023. After last year's success, we are offering once again a HYBRID course: That means you can either join online via Zoom or in person in Zurich. Registration is open! https://events.eventzilla.net/e/computational-psychiatry-course-cpc-zurich-2023--hybrid-2138601232?preview=1677865209506 Please note that spaces are limited and are made available on a first-come first-served basis. We are looking forward to welcoming you in person in Zurich or online and invite you to distribute this information amongst your peers. DETAILS The 6-day course, organized by the Translational Neuromodeling Unit (TNU, PI; Dr. Klaas Stephan) of ETH and University of Zurich, is a non-profit, block course with lectures on Monday-Thursday, application talks on Friday, and tutorials on Saturday. The course is desgined to be practically useful for students at all levels (MDs, Master, PhD, Postdoc, PI) and from diverse backgrounds (neuroscience, psychology, medicine, engineering, physics, etc.), who would like to apply modeling techniques to study cognition or brain physiology in mental health. The course will teach not only the theory of computational modeling, but also demonstrate open-source software in application to example data sets. Students enrolled at ETH and University of Zurich can earn 3 ECTS upon successfull completion of this module. The CPC Zurich 2023 main course comprises ca. 50 hours. Visit our website for more information: https://translationalneuromodeling.org/cpcourse/ Your CPC Zurich Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From Stevensequeira92 at hotmail.com Mon May 15 14:59:15 2023 From: Stevensequeira92 at hotmail.com (steven gouveia) Date: Mon, 15 May 2023 18:59:15 +0000 Subject: Connectionists: st rTAIM Seminar - 17 May, 14h30-16h, via Zoom Message-ID: Dear All, I'm happy to share the details for the 1st rTAIM Monthly Seminar focused on the Ethics of Artificial Intelligence in Medicine in a broad sense. This first seminar will present the overall aim of the 6-year project which can be found here: https://trustaimedicine.weebly.com/. Date: 17 May 2023 | 14h30 - 16h (Lisbon Time Zone) Speaker: Steven S. Gouveia Title: Rebuilding Trust in Black-Box Algorithmic Decision-Making: The Case of Medicine Seminar #1: The influence of Artificial Intelligence in Medicine (AIM) is rapidly evolving in today's society. The basic assumption of these technologies is to produce more reliable, accurate, efficient and economical health practices than traditional medicine, based on purely human reasoning. However, most of these technologies are based on complex and multifaceted types of data and content and are therefore technically described as having a ?black-box? structure: the healthcare professional will be able to understand the inputs of the system and then the outputs. However, they will never have access to what happens ?inside? the system, making the medical process opaque (epistemically) and therefore dangerous (ethically), creating a ?trust gap? in the relationship between patients and medical specialists. The purpose of this seminar will be to introduce three possible options to deal with the ?trust gap? created by ?AI Medicine?: (1) Restrict/restrict the development and use of AI Systems in Health so that the gap is not even created; (2) Accepting the benefits of black box AI systems and ignoring the consequences, even if this jeopardizes the doctor-patient relationship; (3) Create an ?Explainable/Transparent? Artificial Intelligence that manages, on the one hand, to maintain the benefits of these technologies without, however, creating a gap of trust in the doctor-patient relationship. This ethical analysis will allow the diagnosis and identification of the main relevant aspects that must be considered in the use of Artificial Intelligence in Medicine.? Short bio: Steven S: Gouveia is a Research Fellow at the Mind, Langauge and Action Group, University of Porto, leading a project on the Ethics of Artificial Intelligence in Medicine. More info: stevensgouveia.weebly.com. To attend and register: send an email to stevensequeira92 at hotmail.com with the subject "1st rTAIM Seminar" and the Zoom info will be sent directly; free and open to everyone. More info on the Seminars: https://trustaimedicine.weebly.com/rtaim-seminars.html Thank you very much, Steven S. Gouveia Ph.D. (University of Minho) ex-PostDoc Fellow (Uni. Ottawa) & CEFH (Portuguese Catholic Uni.) Research Fellow (2023-2029) Mind, Language & Action Group (Uni. Porto) https://stevensgouveia.weebly.com (Books, papers, talks, etc) -------------- next part -------------- An HTML attachment was scrubbed... URL: From maxime.amblard at univ-lorraine.fr Mon May 15 15:09:44 2023 From: maxime.amblard at univ-lorraine.fr (Maxime Amblard) Date: Mon, 15 May 2023 21:09:44 +0200 Subject: Connectionists: Cal for Participation - IWCS 2023 - Early Registration 21st May Message-ID: <47c6380a5d16b4fdd307e67d7ee50a59.Maxime Amblard > **apologies for cross-postings** ===== Call for Participation IWCS 2023 ===== Program: http://iwcs2023.loria.fr/program/ Early Registration: 21st May 2023 https://iwcs2023.loria.fr/registration/ ============================================ 15th International Conference on Computational Semantics (IWCS) Universit?? de Lorraine, Nancy, France 20-23th June 2023 http://iwcs2023.loria.fr/ IWCS is the biennial meeting of SIGSEM [1], the ACL special interest group on semantics [2]; this year's edition is organized in person by the Loria [3] and IDMC [4] of the Universit?? de Lorraine. [1] http://sigsem.org/ [2] http://aclweb.org/ [3] https://www.loria.fr/fr/ [4] http://idmc.univ-lorraine.fr/ The aim of the IWCS conference is to bring together researchers interested in any aspects of the computation, annotation, extraction, representation and neuralisation of meaning in natural language, whether this is from a lexical or structural semantic perspective. IWCS embraces both symbolic and machine learning approaches to computational semantics, and everything in between. The conference and workshops will take place 20-23 June 2023. === TOPICS OF INTEREST === We invite paper submissions in all areas of computational semantics, in other words all computational aspects of meaning of natural language within written, spoken, signed, or multi-modal communication. Presentations will be oral and posters. Submissions are invited on these closely related areas, including the following: * design of meaning representations * syntax-semantics interface * representing and resolving semantic ambiguity * shallow and deep semantic processing and reasoning * hybrid symbolic and statistical approaches to semantics * distributional semantics * alternative approaches to compositional semantics * inference methods for computational semantics * recognising textual entailment * learning by reading * methodologies and practices for semantic annotation * machine learning of semantic structures * probabilistic computational semantics * neural semantic parsing * computational aspects of lexical semantics * semantics and ontologies * semantic web and natural language processing * semantic aspects of language generation * generating from meaning representations * semantic relations in discourse and dialogue * semantics and pragmatics of dialogue acts * multimodal and grounded approaches to computing meaning * semantics-pragmatics interface * applications of computational semantics === SUBMISSION INFORMATION === Two types of submission are solicited: long papers and short papers. Both types should be submitted not later than 3 March (anywhere on earth). Long papers should describe original research and must not exceed 8 pages (not counting acknowledgements and references). Short papers (typically system or project descriptions, or ongoing research) must not exceed 4 pages (not counting acknowledgements and references). Both types will be published in the conference proceedings and in the ACL Anthology. Accepted papers get an extra page in the camera-ready version. Style-files: IWCS papers should be formatted following the common two-column structure as used by ACL. Please use our specific style-files or the Overleaf template, taken from ACL 2021. Similar to ACL 2021, initial submissions should be fully anonymous to ensure double-blind reviewing. Submitting: Papers should be submitted in PDF format via Softconf: https://softconf.com/iwcs2023/papers Please make sure that you select the right track when submitting your paper. Contact the organisers if you have problems using Softconf. No anonymity period IWCS 2023 does not have an anonymity period. However, we ask you to be reasonable and not publicly advertise your preprint during (or right before) review. === IMPORTANT DATES === 15 March --> 22 March 2023 (anywhere on earth) Paper submissions 17 April 2023 Decisions sent to authors 15 May 2023 Camera-ready papers due 20-23 June 2023 IWCS conference === CONTACT === For questions, contact: iwcs2023-contact at univ-lorraine.fr Maxime Amblard, Ellen Breithloltz (the IWCS 2023 organizers) From xiao at gmu.edu Mon May 15 16:30:11 2023 From: xiao at gmu.edu (Xuesu Xiao) Date: Mon, 15 May 2023 20:30:11 +0000 Subject: Connectionists: [meetings] [news] IJCAI23 Robot Exhibition CfP Message-ID: Dear roboticists and AI researchers, we are pleased to present the call for expressions of interest in the Robot Exhibition of the 32nd International Joint Conference on Artificial Intelligence (August 19?25, 2023, Macao, S.A.R). IJCAI23 will be a premier international gathering of researchers in AI, and the Robot Exhibition will run alongside the IJCAI23 combined technical program (https://ijcai-23.org/call-for-robot-exhibition/). Robots are a central focus of AI research and development, providing preeminent examples where cognitive skills (e.g., in perception, decision-making, control) are necessary to cope with complex tasks, and both naturalistic and controlled environments. On the one hand, developing intelligent robot systems involves challenging open research questions in AI. On the other hand, established AI methods are gaining increasing interest and applicability in various domains (e.g., industries, services, space) that involve robots alongside humans. This exhibition offers a prime space for exhibiting both achieved results and new opportunities for the development and use of AI in Robotics in the real world to a large audience of professional AI researchers from academia and industry. The exhibition seeks to involve both academic and industrial groups interested in the combination of AI and Robotics. The exhibition will thus provide an outstanding opportunity for universities, research organizations, and companies to showcase their research on the world stage. We invite expressions of interest for demonstrations of robotic systems, software, and tools that exploit AI methods and technologies, and that would be of interest to the broad AI community. Expressions of interest should include: A one-page description (in IJCAI format) of: ? the proposing group/company, ? the robotic technology to be demonstrated, ? the relevance of this technology to AI. A video of up to two minutes demonstrating the system in action; the video should be at most 100MB, in mp4 format. Please include your title and authorship info in the opening of the video. Submission website: https://cmt3.research.microsoft.com/IJCAI2023/ Expressions of interest will be evaluated according to the following criteria: Relevance: What is the relevance of the shown demonstration to AI? Understandability: How amenable is the showcase to technical and non-technical audiences? IMPORTANT DATES Submission of expressions of interest: June 31, 2023 Notification of acceptance: July 15, 2023 Note: all deadlines are Anywhere on Earth (AoE). IJCAI 2023 Robot Exhibition Chairs Xuesu Xiao, George Mason University Benjamin Rosman, University of the Witwatersrand Please, send all enquiries about the Robot Exhibition Track to the track Co-Chairs via email: robots at ijcai-23.org ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at santafe.edu Mon May 15 17:46:07 2023 From: mm at santafe.edu (Melanie Mitchell) Date: Mon, 15 May 2023 15:46:07 -0600 Subject: Connectionists: AI / CogSci Postdoc position available at the Santa Fe Institute Message-ID: <9E7216CA-FFB1-4DD3-850C-C3D317EDF457@santafe.edu> The Santa Fe Institute?a private, not-for-profit research and education facility?has an opening for a full-time postdoc to collaborate with Dr. Melanie Mitchell and other project participants in developing AI models of conceptual abstraction and analogy-making. The start date for the position is flexible, but with a target of Fall 2023. The position is for two years, with a possible extension for a third year. Candidates are required to have a PhD (by the start date) in an area related to AI or Cognitive Science. For more information and application instructions, go to https://santafe.edu/about/jobs/postdoc-ai. The application deadline is June 9, 2023. -------------- next part -------------- An HTML attachment was scrubbed... URL: From snooles at gmail.com Tue May 16 05:53:17 2023 From: snooles at gmail.com (Gilles Vanwalleghem) Date: Tue, 16 May 2023 11:53:17 +0200 Subject: Connectionists: Call for new Neuroscience Group Leaders at Aarhus University in Denmark Message-ID: Dear colleagues, Could you circulate our new call for 1-2 new group leaders in the field of translational neuroscience? The start-up package of 1.6 millions euro for 5 years, with potential 4 years extension. Aarhus is a great city to live in, and the research environment is really good. Don't hesitate to contact me if you have any questions! All the informations can be found in the link below: https://dandrite.au.dk/news/join-us-as-new-group-leader Best regards, Gilles Vanwalleghem Assistant Professor in Neurobiology Department of Molecular Biology and Genetics Team leader at Danish Research Institute of Translational Neuroscience DANDRITE, Nordic-EMBL Partnership for Molecular Medicine Aarhus University Denmark https://mbg.au.dk/en/gilles-vanwalleghem -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue May 16 05:43:28 2023 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 16 May 2023 10:43:28 +0100 Subject: Connectionists: CFP: Learning from Temporal Data (LearnTeD) - DSAA 2023 Message-ID: <54037f75-c48f-aef5-7fd2-b0ab121c4f21@isep.ipp.pt> ---------------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- CALL FOR PAPERS Learning from Temporal Data (LearnTeD) special session of the 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2023) October 9-13, 2023, Thessaloniki, Greece Website link: https://dsaa2023.inesctec.pt/ ---------------------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------------------- Temporal information is all around us. Numerous important fields, including weather and climate, ecology, transport, urban computing, bioinformatics, medicine, and finance, routinely work with temporal data. Temporal data present a number of new challenges, including increased dimensionality, drifts, complex behavior in terms of long-term interdependence, and temporal sparsity, to mention a few. Hence, learning from temporal data requires specialized strategies that are different from those used for static data. Continuous cross-domain knowledge exchange is required since many of these difficulties cut over the lines separating various fields. This special session aims to integrate the research on learning from temporal data from various areas and to synthesize new concepts based on statistical analysis, time series analysis, graph analysis, signal processing, and machine learning. The scope of the special session includes but is not limited to the following: - Temporal data clustering - Classification and regression of univariate and multivariate time series - Early classification of temporal data - Deep learning for temporal data - Learning representation for temporal data - Metric and kernel learning for temporal data - Modeling temporal dependencies - Time series forecasting - Time series annotation, segmentation, and anomaly detection - Spatial-temporal statistical analysis - Functional data analysis methods - Data streams - Interpretable/explainable time-series analysis methods - Dimensionality reduction, sparsity, algorithmic complexity, and big data challenges - Benchmarking and assessment methods for temporal data - Applications, including transport, urban computing, weather and climate, ecology, bio-informatics, medical, and energy consumption on temporal data ---------------------------------------------------------------------------------------- Submission procedure ---------------------------------------------------------------------------------------- All papers should be submitted electronically via EasyChair (under the ?Special Session? Track): https://easychair.org/my/conference?conf=dsaa2023 The length of each paper submitted to the Research tracks should be no more than ten (10) pages and should be formatted following the standard 2-column U.S. letter style of the IEEE Conference template. For further information and instructions, see the IEEE Proceedings Author Guidelines. All submissions will be blind-reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors? anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2023. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to the DSAA?2023 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. All accepted full-length special session papers will be published by IEEE in the DSAA main conference proceedings under its Special Session scheme. All papers will be submitted for inclusion in the IEEEXplore Digital Library. High-quality accepted papers will be recommended to a Special Issue of the International Journal of Data Science and Analytics on "Learning from temporal data" through a fast-track process. ---------------------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------------------- Paper Submission Deadline: May 22, 2023 Paper Notification: July 17, 2023 Camera-ready Submission: August 7, 2023 ---------------------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------------------- ---------------------- Track Chairs ---------------------- Albert Bifet, Waikato University, New Zealand Jo?o Mendes Moreira, University of Porto & LIAAD-INESC TEC, Portugal Joydeep Chandra, Indian Institute of Technology Patna, India ---------------------- Program Committee ---------------------- Animesh Chaturvedi, IIIT Dharwad, India Balaraman Ravindran, IIT Madras, India Bivas Mitra, IIT Kharagpur, India Carlos Abreu Ferreira, INESC TEC, Portugal Debraj Das, IIT Bombay, India Heitor Murilo Gomes, Victoria University of Wellington, New Zealand Ingo Scholtes, University of W?rzburg, Germany Maria Eduarda Silva, Universidade do Porto, Portugal Mirco Nanni, ISTI-CNR, Italy Nuno Moniz, University of Notre Dame, USA Paulo Cortez, Universidade do Minho, Portugal Raquel Menezes, Universidade do Minho, Portugal Rita Ribeiro, Universidade do Porto, Portugal Sourangshu Bhattacharya, IIT Kharagpur, India Srijith P.K., IIT Hyderabad, India Vitor Cerqueira, Dalhousie University, Canada ---------------------- Publicity Chairs ---------------------- Carlos Abreu Ferreira, Instituto Polit?cnico do Porto, Portugal Shruti Saxena, Indian Institute of Technology Patna, India ---------------------- Contacts ---------------------- Organizing Committee Contact Person: jmoreira at fe.up.pt ---------------------- Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From nemanja at temple.edu Mon May 15 21:11:41 2023 From: nemanja at temple.edu (Nemanja Djuric) Date: Tue, 16 May 2023 01:11:41 +0000 Subject: Connectionists: CfP - AdKDD @ KDD2023 Message-ID: Call for Workshop Papers AdKDD 2023 in conjunction with The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) Long Beach, CA, USA, August 6th-10th, 2023 http://www.adkdd.org Today the average consumer spends 8+ hours a day across all devices interacting with online content almost entirely sponsored by advertisements. At over $550B global market size in 2022, and expected to pass $800B by 2026, digital advertising has already surpassed traditional ads in global spend and continues to grow despite economic headwinds. Digital advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads connect us to opportunities to enrich our lives and creep us out when done badly. Recently at the forefront of political battles between governments, large multinational corporations, and consumers, digital advertising remains a dynamic industry and research area. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving from simple rule-based ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences within native, video, and display formats on mobile devices, connected TV, and audio?all utilizing data amassed from petabytes of stored user data collected increasingly through inferred identity providers. The increasing use of sequence models and the rise of Generative AI is spawning new directions such as auto-generation of ad creatives or pay-for-use shopping assistants. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of sixteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you in-person to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers, and others, challenge the traditional notions of advertising. There also continue to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be archived on the AdKDD website, and we are also working on having them published in official proceedings as well. Please note: All of the attendees need to register through the main conference of KDD. In addition, in line with earlier KDD workshops, we do not provide separate registration only for the workshop itself. Important Deadlines (anywhere on Earth): Submission : May 28th, 2023 Decisions : June 13th, 2023 Camera-ready : June 20th, 2023 Video Submission: July 24, 2023 Workshop : August 7th, 2023 Submission Website: https://easychair.org/conferences/?conf=adkdd2023 Program Committee Chairs: Abraham Bagherjeiran (eBay) Nemanja Djuric (Aurora Innovation) Kuang-chih Lee (Alibaba) Linsey Pang (Walmart Labs) Suju Rajan (Amazon) Vladan Radosavljevic (Spotify) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kreinhar at sissa.it Tue May 16 07:03:19 2023 From: kreinhar at sissa.it (Katja Reinhard) Date: Tue, 16 May 2023 11:03:19 +0000 Subject: Connectionists: postdoc position in Reinhard Lab at SISSA In-Reply-To: References: Message-ID: Dear all, I would like to ask you to consider and/or distribute the below advertisement of a postdoc position in my lab. Thank you! Katja ERC-funded postdoc position in neuroscience at SISSA for candidates with expertise and interest in computational aspects A postdoc position (up to 4 years, ERC-funded) is available in the lab of Katja Reinhard, PhD, in the Department for Neuroscience at SISSA, Trieste, Italy to study how brain circuits enable behavioural flexibility. Both engineering/computational scientists as well as experimentalists with strong analytical skills are encouraged to apply! Projects & main techniques: Animals react to threat or stimuli of interest with innate behaviours including escape, freezing and approach. Our goal is to investigate how rodents adjust these innate reactions to different ecologically relevant contexts, e.g. ambient light and circadian rhythm. In addition, we aim to understand how behavioural flexibility evolved in related species from different niches. Candidates will analyse high-throughput electrophysiological, calcium imaging and behavioural data to discover neural correlates of stimuli, behaviour and context; and to create models of behavioural flexibility. The new lab member can be involved in performing experiments if desired and will closely collaborate with experimentalists. Your Profile: (expected) PhD degree in Computational sciences, Neuroscience or relevant field; Ability to plan and coordinate their work independently; Collaborative, creative and driven; Strong data analysis & programming skills - experience with neuronal or behavioural data preferred; Open and active communicator; Neuroscience background or strong motivation to obtain the relevant understanding during the postdoc. We offer: Expertise in visuo-motor processing and relevant methods (Tikidji-Hamburyan et al. 2015; Reinhard et al. 2019; Sans-Dublanc et al. 2021); Collaborative environment with Neuroscience (https://www.sissa.it/neuroscience) and Data Science experts (https://datascience.sissa.it/); Attendance of conferences and summer schools encouraged; Support with career development; Frequent exchange and brainstorming; Friendly and motivating lab environment; Competitive salary & on-site childcare. How to apply: Send (1) your CV, (2) contact information of 2-3 references, and (3) a motivation letter including research and career goals until June 10th to katja.reinhard[at]sissa.it. More information about the position and lab can be found on www.reinhardlab.org and the Neurobiology page of SISSA http://phdneurobiology.sissa.it/eng/home.aspx. -------------- next part -------------- An HTML attachment was scrubbed... URL: From adeel.razi at gmail.com Tue May 16 07:48:11 2023 From: adeel.razi at gmail.com (Adeel Razi) Date: Tue, 16 May 2023 21:48:11 +1000 Subject: Connectionists: Machine Learning and Theory Development: An online workshop Message-ID: Dear colleagues, Machine learning has attracted huge attention in social sciences and neuroscience, delivering predictions that exceed any insight that a human researcher would be able to obtain with common theory-driven approaches. However, applications are often criticized as being mainly exploratory and inductive, and their utility for theory development is not yet clear. for this reason we are organizing a *free interdisciplinary online workshop* with the title: *Machine Learning and Theory Development * taking place from* 10 - 12 July 2023 *(3 three-hour-sessions), sponsored by Jacobs Foundation and CIFAR . In this workshop renowned experts from various fields will discuss how machine learning methods can be used to advance theory development. Presentations will be followed by panel discussions on similarities and differences, possibilities and limitations of the approaches. The workshop is targeted for applied researchers in any discipline interested in using machine learning methods to advance their field. Our wonderful speakers are: Dr. Ryota Kanai, founder and CEO of Araya Dr. Katharina Dobs, University Giessen Dr. Blake Richards, McGill University Dr. Mayank Agrawal (Princeton University) Dr. Filiz Garip (Princeton University) Dr. Anna Ivanova (MIT) Dr. Rebecca Johnson, Georgetown University Dr. Caspar van Lissa, Tilburg University Dr. Justin Grimmer, Stanford University The workshop is free of charge but it is still necessary to *register *to give us an idea of who will be attending and to enable us to communicate with you more efficiently. More information, the workshop programme, and the registration link can be found on our website: www.ml-theory.com. We would be honoured to have you join us for another workshop. Best Regards, Alexander Jung, Drew Bailey, Catherine Lebel Julia Moeller, Adeel Razi, Baobao Zhang, Kou Murayama -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Tue May 16 10:55:04 2023 From: info at incf.org (INCF) Date: Tue, 16 May 2023 16:55:04 +0200 Subject: Connectionists: Upcoming course from INCF: Introduction to Neuroinformatics Message-ID: Please share this with your networks! Upcoming INCF Short Course: Introduction to Neuroinformatics Location: University of Washington, Seattle, WA, USA Dates: October 2-4 Application deadline: Jun 15 50% discount for INCF members! The course will teach neuroscientists and researchers from related fields about neuroinformatics: the science & engineering of brain data. The topics covered will range from theoretical background to methodological innovations in the field and their applications, as well as socio-technical issues related to data sharing, applications of neuroinformatics to clinical questions, and compliance with sharing mandates. Learn more: bit.ly/INCFcourse2023 Register here: bit.ly/INCFcourse2023reg -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.yang at imperial.ac.uk Tue May 16 13:03:50 2023 From: g.yang at imperial.ac.uk (Yang, Guang) Date: Tue, 16 May 2023 17:03:50 +0000 Subject: Connectionists: AIIB2023 Challenge with MICCAI Message-ID: ? Announcement of the #AIIB2023 #Challenge! ?? ? The AIIB2023 Challenge organised by #ImperialCollegeLondon and supported by #OSIC and #RoyalBromptonHospital is a part of #MICCAI2023, which will be held from October 8th to 12th 2023 in #Vancouver Convention Centre #Canada. ? Fibrotic lung disease is a progressive lung condition with no known cure, ultimately leading to death. That's why our challenge aims to revolutionize lung fibrosis analysis and prognosis. More importantly, we know that #imaging #biomarkers are vital in fibrotic lung disease. They help #diagnose and #monitor the progression of these chronic conditions by visualising and quantifying the extent of fibrosis using advanced techniques like #CT. These biomarkers enable accurate diagnosis, guide #treatment decisions, and predict #prognosis, ultimately improving patient outcomes and enabling personalised care. As the world's first challenge focusing on fibrotic lung disease airway segmentation and prognosis using such imaging biomarkers, we've obtained CT data from 262 patients with fibrotic lung disease (237 with mortality labels), collected from the largest fibrotic lung disease database, #OSIC. Each scan comes with meticulously annotated airway structures, providing a valuable resource for participants. ? The top winners will receive prizes worth over $4000 USD and gain recognition from the scientific community. Additionally, we'll invite the top 3 winners to Vancouver for oral presentations, giving them the opportunity to showcase their exceptional work. ? To participate, please visit our #website: https://www.yanglab.fyi/challenges.html This year, we are tackling two exciting #tasks of #airway #segmentation and #mortality #prediction in #lungfibrosis #patients. Choose your task, dive into the data, and show us your skills! We look forward to seeing your submissions! ? Let's revolutionize #lung #fibrosis #analysis together. ? #AIIB2023 #MedicalResearch #LungFibrosis #work #opportunity #community #data #database Dr Guang Yang (Ph.D., M.Sc., B.Eng., Senior Member.IEEE, Life Member.SPIE, Member.BMVA, Member.ISMRM, Member.MICCAI) Pronouns: he/him/his In-coming Associate Professor (Senior Lecturer) Bioengineering Department & Imperial-X, Imperial College London UKRI Future Leaders Fellow (Advanced Research Fellow) National Heart & Lung Institute, Imperial College London Group:// www.yanglab.fyi/ Email:// g.yang at imperial.ac.uk Cell:// +44 (0)79 224 224 99 WeChat ID:// dr_g_yang [google-plus] [twitter] [linkedin] [website] PI of Workstreams for CHAIMELEON (H2020 funded) and DRAGON (IMI funded) Projects. Senior MRI Processing Physicist, Cardiovascular Research Centre, Royal Brompton Hospital. Honorary Senior Lecturer, School of Biomedical Engineering & Imaging Sciences, King's College London. Editorial Board Member or Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (2021 IF: 4.851); International Journal of Imaging Systems and Technology (2021 IF: 2.177); BMC Medical Imaging (2020-2023, retired now, 2021 IF: 2.795); BMC Medical Informatics and Decision Making (2021 IF: 3.298); Computerized Medical Imaging and Graphics (2021 IF: 7.422); IEEE Transactions on Medical Imaging (2021 IF: 11.037); Computers in Biology and Medicine (2021 IF: 6.698); IEEE Transactions on Cybernetics (2021 IF: 19.118); IEEE Transactions on Big Data (2021 IF: 4.271); IET Image Processing (2021 IF: 2.373); Neurocomputing (2021 IF: 5.779). [A picture containing text, clipart Description automatically generated] [CHAIMELEON] [A picture containing light Description automatically generated] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image007.png Type: image/png Size: 31654 bytes Desc: image007.png URL: From sandipan.sikdar at l3s.de Wed May 17 02:32:58 2023 From: sandipan.sikdar at l3s.de (sandipan.sikdar at l3s.de) Date: Wed, 17 May 2023 08:32:58 +0200 Subject: Connectionists: AICPM 2023 :: Call for Abstracts: Deadline Extension Message-ID: <000001d98889$6bf7cf80$43e76e80$@l3s.de> Following numerous requests, The deadline for the submission of abstracts for AICPM 2023 symposium has been extended. The new deadline is May 31st AICPM 2023 - Artificial Intelligence, Causality and Personalised Medicine Symposium 14.09.2023 - 15.09.2023 Leibnizhaus, Hannover Call for Abstract Submission Benefiting from a huge amount of data with multiple modalities in the big data era, the rapid evolution of artificial intelligence (AI) is contributing to advances in medical applications. Such applications include genetic data are analysed for predicting risks of cancer or treatment outcome in oncology; clinical data from electronic health records are useful for predicting specific diseases, such as sepsis in intensive care units; and bio-signals can be processed by AI for many applications, such as electrocardiography. In particular, personalised medicine will benefit from intelligent, reliable, and responsible AI systems, therefore improving care and the quality of life. Current machine learning systems often lack understanding of the relationship between causes and effects in their domain. Causal reasoning is, therefore, being recognized as a missing piece in AI methods. Integrating causality into machine learning methods will be integral for designing next generation intelligent systems. The causality framework allows researchers to represent medical background knowledge in an explainable manner. Thus, causal AI promises to improve further personalised medical applications with trustworthy and fair decision-making. In this context, the AICPM Symposium is calling for high-quality abstract submissions in the research field of AI and medicine, with the goal of promoting research development and agenda setting in this interdisciplinary domain. We invite discussions at the intersection of AI and outlined topics in medicine. The research topics include, but are not limited to: 1. Specific uses and use cases of AI and ML in medical contexts, lessons learned and best practices 2. Reporting of specific data-intensive medical experiments 3. Prototypes of AI systems in medical applications, decision support systems 4. Machine learning approaches in medical applications The selected abstracts will be invited to be presented either in poster or oral format. There will also be an opportunity to submit full papers for publication in the Proceedings of the symposium. For submission we will follow the LNCS format. The overleaf link can be found here. The latex and word templates can be downloaded here. Each submission is limited to a maximum of two pages. The abstracts can be submitted through EasyChair here. Abstract submission - 31 May 2023 Submit Abstract -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Wed May 17 03:51:03 2023 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 17 May 2023 09:51:03 +0200 (CEST) Subject: Connectionists: Post-doctoral and engineer positions at Loria (France) : Automatic speech recognition for non-native speakers in a noisy environment In-Reply-To: <730628097.14493011.1684076489092.JavaMail.zimbra@loria.fr> References: <1847762572.10846716.1667997869456.JavaMail.zimbra@loria.fr> <595985954.17345239.1672928857165.JavaMail.zimbra@loria.fr> <730628097.14493011.1684076489092.JavaMail.zimbra@loria.fr> Message-ID: <1955448805.16045712.1684309863988.JavaMail.zimbra@loria.fr> Dear all, Please, could you post it on your lists? Thank you. Best regards, Irina Illina Automatic speech recognition for non-natives speakers in a noisy environment Post-doctoral and engineer positions Starting date: July-September of 2023 Duration: 24 months for a post-doc position and 12 months for an engineer position Supervisors: Irina Illina, Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team, [ mailto:illina at loria.fr | illina at loria.fr ] Emmanuel Vincent, Senion Research Scientist & Head of Science, INRIA Multispeech Team, emmanuel.vincent at inria.fr [ http://members.loria.fr/evincent/ | http://members.loria.fr/evincent/ ] Cons : the application must meet the requirements of the French Directorate General of Armament (Direction g?n?rale de l'armement, DGA). Context When a person has their hands busy performing a task like driving a car or piloting an airplane, voice is a fast and efficient way to achieve interaction. In aeronautical communications, the English language is most often compulsory. Unfortunately, a large part of the pilots are not native English and speak with an accent dependent on their native language and are therefore influenced by the pronunciation mechanisms of this language. Inside an aircraft cockpit, non-native voice of the pilots and the surrounding noises are the most difficult challenges to overcome in order to have efficient automatic speech recognition (ASR). The problems of non-native speech are numerous: incorrect or approximate pronunciations, errors of agreement in gender and number, use of non-existent words, missing articles, grammatically incorrect sentences, etc. The acoustic environment adds a disturbing component to the speech signal. Much of the success of speech recognition relies on the ability to take into account different accents and ambient noises into the models used by ARP. Automatic speech recognition has made great progress thanks to the spectacular development of deep learning. In recent years, end-to-end automatic speech recognition, which directly optimizes the probability of the output character sequence based on the input acoustic characteristics, has made great progress [Chan et al., 2016; Baevski et al., 2020; Gulati, et al., 2020]. Objectives The recruited person will have to develop methodologies and tools to obtain high-performance non-native automatic speech recognition in the aeronautical context and more specifically in a (noisy) aircraft cockpit. This project will be based on an end-to-end automatic speech recognition system [Shi et al., 2021] using wav2vec 2.0 [Baevski et al., 2020]. This model is one of the most efficient of the current state of the art. This wav2vec 2.0 model enables self-supervised learning of representations from raw audio data (without transcription). How to apply: Interested candidates are encouraged to contact Irina Illina (illina at loria.fr) with the required documents (CV, transcripts, motivation letter, and recommendation letters). Requirements & skills: - Ph.D. degree in speech/audio processing, computer vision, machine learning, or in a related field, - ability to work independently as well as in a team, - solid programming skills (Python, PyTorch), and deep learning knowledge, - good level of written and spoken English. References [Baevski et al., 2020] A. Baevski, H. Zhou, A. Mohamed, and M. Auli. Wav2vec 2.0: A framework for self-supervised learning of speech representations, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020. [Chan et al., 2016] W. Chan, N. Jaitly, Q. Le and O. Vinyals. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 4960-4964, 2016. [Chorowski et al., 2017] J. Chorowski, N. Jaitly. Towards better decoding and language model integration in sequence to sequence models. Interspeech, 2017. [Houlsby et al., 2019] N. Houlsby, A. Giurgiu, S. Jastrzebski, B. Morrone, Q. De Laroussilhe, A. Gesmundo, M. Attariyan, S. Gelly. Parameter-efficient transfer learning for NLP. International Conference on Machine Learning, PMLR, pp. 2790?2799, 2019. [Gulati et al., 2020] A. Gulati, J. Qin, C.-C. Chiu, N. Parmar, Y. Zhang, J. Yu, W. Han, S. Wang, Z. Zhang, Y. Wu, and R. Pang. Conformer: Convolution-augmented transformer for speech recognition. Interspeech, 2020. [Shi et al., 2021] X. Shi, F. Yu, Y. Lu, Y. Liang, Q. Feng, D. Wang, Y. Qian, and L. Xie. The accented english speech recognition challenge 2020: open datasets, tracks, baselines, results and methods. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6918?6922, 2021. -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeremie.cabessa at uvsq.fr Wed May 17 03:51:03 2023 From: jeremie.cabessa at uvsq.fr (=?utf-8?B?SsOpcsOpbWllIENhYmVzc2E=?=) Date: Wed, 17 May 2023 09:51:03 +0200 Subject: Connectionists: URGENT: Funded PhD Position in Chemo-Informatics / Deep Learning @ Paris-Saclay Message-ID: <74F78765-F67D-499B-A829-A24ABA3A905B@uvsq.fr> Offer: Funded PhD Position in Chemo-Informatics / Deep Learning. Institution: Universities of Versailles and ?vry ? Paris-Saclay Application deadline: 22 May 2023 (urgent!) Dear colleagues, The laboratories DAVID and LAMBE from the Universities of Versailles and ?vry ? Paris-Saclay offer a 3-year funded PhD position in the fields of chemo-informatics and deep learning. The project is entitled Spectral-Based Inverse Molecular Design with Graph Neural Networks and concerns the prediction of graph molecular structures from their vibrational spectra. The application deadline is the 22nd May 2023 (urgent), potentially extendable. To apply, please send your CV by email to J?r?mie Cabessa at: jeremie.cabessa at uvsq.fr The details of the project, working conditions and candidate requirements are provided below. Thank you and best regards. Offer: 1 funded PhD position in chemo-informatics and deep learning at the laboratories DAVID and LAMBE from the Universities of Versailles and ?vry ? Paris-Saclay. Title and Abstract: Spectral-Based Inverse Material Design with Graph Neural Networks: from vibrational spectra to molecular graphs In recent years, graph neural networks (GNNs) have significantly progressed theoretically and led to impressive achievements in a large variety of domains, including biology and chemistry. However, graph prediction tasks still represent challenging issues in this domain. In theoretical chemistry, the computational prediction of a molecular structure is a long-standing problem, and vibrational spectroscopy constitutes the major technique for molecular structure identification. The proposed project aims at developing a GNN-based system for the prediction of 2D topological molecular graphs from their vibrational spectral signatures. In machine learning, this projects fits into the direction of graph prediction and inverse problems in general. In theoretical chemistry, it aims to contribute to the impactful research on inverse molecular/material design. Candidate requirements: Strong background in ML and neural networks; very good programming skills, preferably in Python; experience with neural network libraries like PyTorch or Keras is strongly recommended; prior knowledge in theoretical chemistry is a plus. Funding information: 3 year scholarship from the Graduate School ISN and Convergence Institute DATAIA, in accordance with the French standards regarding PhD salaries. Deadline (urgent!): 22 May 2023, potentially extendable. Application details: Please send your CV by email to J?r?mie Cabessa at jeremie.cabessa at uvsq.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Wed May 17 04:54:26 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Wed, 17 May 2023 11:54:26 +0300 Subject: Connectionists: 19th IEEE eScience Conference (eScience 2023): Fifth Call for Papers Message-ID: *** Fifth Call for Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is ?open eScience?. This year, the conference is promoting four additional key topics: ? Computational Science for sustainable development ? FAIR ? Research Infrastructures for eScience ? Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: ? Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions ? Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5?11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5?11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. ? Best Paper Award ? Best Student Paper Award ? Best Poster Award ? Best Student Poster Award ? Outstanding Early Career Contribution ? this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES ? Paper Submissions Due: Friday, May 26, 2023 (AoE) ? Notification of Paper Acceptance: Friday, June 30, 2023 ? Poster Submissions due: Friday, July 7, 2023 (AoE) ? Poster Acceptance Notification: Monday, July 24, 2023 ? All Camera-ready Submissions due: Monday, August 14, 2023 ? Author Registration Deadline: Monday, August 14, 2023 ORGANISATION General Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs ? Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA ? Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program at eScience-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From z.tan.phd at ieee.org Wed May 17 01:06:47 2023 From: z.tan.phd at ieee.org (Zhiyuan Tan) Date: Wed, 17 May 2023 06:06:47 +0100 Subject: Connectionists: [4th CfP] EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications [Deadline Extended] Message-ID: Dear colleagues, Sorry for the cross-posting. This is the 4th CfP for EAI BDTA 2023 =================================== EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications Edinburgh, UK, 23-24 August 2023 Conference website: https://infoscale.eai-conferences.org/2023/ Submission link: https://infoscale.eai-conferences.org/2023/submission/ Submission Deadline: ***21 May 2023** [Extended]* The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm. The 13th EAI International Conference on Big Data Technologies and Applications will be held in Edinburgh, the United Kingdom. This conference provides a leading forum for the presentation of new advances and research results in the fields of big data technologies and applications. The conference will bring together leading researchers, businessmen, and scientists in the domain of interest from around the world. == Keynotes == Professor Huiyu Zhou, University of Leicester, Title: Emerging challenges and solutions in data and privacy protection Professor Jungong Han, University of Sheffield, Title: Open World Deep Learning for Visual Understanding == Best Paper Award == Three Best Paper Awards will be selected by the Technical Program Committee and the Authors will be awarded a Certificate by EAI. 1. REGULAR/FULL PAPER 2. SHORT PAPER 3. STUDENT'S PAPER == Special Issues == Selected papers will be invited to submit an extended version of their work to the journal special issues: - Mobile Networks and Applications (MONET) - EAI Endorsed Transactions on Scalable Information Systems(Open Access) - EAI/Springer Innovations in Communications and Computing Book Series - International Journal of Web Information Systems == Submission Guidelines == - Papers should be in English. - Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review. - The paper submissions must follow the Springer formatting guidelines (see Author?s kit section on https://infoscale.eai-conferences.org/2023/submission/). - Read the Publication Ethics and Malpractice Statement. Papers should be submitted through EAI ?Confy+? system, and have to comply with the Springer format (see Author?s kit section). Regular papers should be up to 12-15+ pages in length. Short papers should be 6-11 pages in length. Paper templates can be downloaded from: - LaTeX2e Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip - Microsoft Word Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip == Objectives, Scope, and Topics == All the topics related to big data techniques, such as big data collection and storage, big data management and retrieval, big data mining approaches, and big data visualization, are in the scope of BDTA 2023. Besides, its applications in all related areas, such as business, education, medicine, management, and health, are also in the scope of BDTA 2023. We welcome contributions from the following fields: Hardware and Software solutions for Big Data Searching, Storing and Management Data Visualization and Visual Analytics Natural Language Processing in Big Texts Biomedical Imaging Pre-processing and Analysis Structured and Unstructured Data Mining Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms Scalable Computational Intelligence Tools Novel Computational Intelligence Approaches for Data Analysis Evolutionary and Bio-inspired Approaches for Big Data Analysis New Domains and Novel Applications Related to Big Data Technologies Educational Data Mining. Learning Analysis Artificial Intelligence in Education. Medical Informatics Information Systems Security Meta Heuristic Optimization Blockchain Technologies == Committees == General Chair Associate Prof. Zhiyuan Tan Edinburgh Napier University, Edinburgh, UK General Co-Chair Prof. Huiyu Zhou University of Leicester, Leicester, UK Technical Program Committee Chairs Associate Prof. Min Xu University of Technology Sydney, Sydney, Australia Dr Yulei Wu University of Exeter, Exeter, UK Technical Program Committee Co-Chair Prof. Wenwu Wang University of Surrey Prof. Ashkan Sami Edinburgh Napier University, Scotland Publicity and Social Media Chair Dr Yanchao Yu Edinburgh Napier University, Edinburgh, UK Workshop Chair Dr Xingjie Wei University of Leeds, Leeds, UK Sponsorship & Exhibit Chair Dr Nour Moustafa University of New South Wales (UNSW) Canberra, Canberra, Australia Publication Chair Prof. Amin Beheshti Macquarie University Sydney, Australia Local Chair Dr Kehinde Babaagba Edinburgh Napier University, Edinburgh, UK == Publication == All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH. Additional publication opportunities: EAI Transactions series (Open Access) EAI/Springer Innovations in Communications and Computing Book Series (titles in this series are indexed in Ei Compendex, Web of Science & Scopus) == Venue == Edinburgh, United Kingdom == Contact == EAI BDTA 2023 Conference Manager: sara.csicsayova at eai.eu ================================== Best regards, Thomas *------* *Dr Zhiyuan (Thomas) Tan* Associate Professor in Cybersecurity | School of Computing | Edinburgh Napier University E-mail: z.tan.phd at ieee.org Website: https://www.napier.ac.uk/people/thomas-tan -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications Edinburgh, UK, 23-24 August 2023 Conference website: https://infoscale.eai-conferences.org/2023/ Submission link: https://infoscale.eai-conferences.org/2023/submission/ Submission Deadline: **21 May 2023** [Extended] The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm. The 13th EAI International Conference on Big Data Technologies and Applications will be held in Edinburgh, the United Kingdom. This conference provides a leading forum for the presentation of new advances and research results in the fields of big data technologies and applications. The conference will bring together leading researchers, businessmen, and scientists in the domain of interest from around the world. == Keynotes == Professor Huiyu Zhou, University of Leicester, Title: Emerging challenges and solutions in data and privacy protection Professor Jungong Han, University of Sheffield, Title: Open World Deep Learning for Visual Understanding == Best Paper Award == Three Best Paper Awards will be selected by Technical Program Committee and the Authors will be awarded a Certificate by EAI. 1. REGULAR/FULL PAPER 2. SHORT PAPER 3. STUDENT'S PAPER == Special Issues == Selected papers will be invited to submit an extended version of their work to the journal special issues: - Mobile Networks and Applications (MONET) - EAI Endorsed Transactions on Scalable Information Systems(Open Access) - EAI/Springer Innovations in Communications and Computing Book Series - International Journal of Web Information Systems == Submission Guidelines == - Papers should be in English. - Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review. - The paper submissions must follow the Springer formatting guidelines (see Author?s kit section on https://infoscale.eai-conferences.org/2023/submission/). - Read the Publication Ethics and Malpractice Statement. Papers should be submitted through EAI ?Confy+? system, and have to comply with the Springer format (see Author?s kit section). Regular papers should be up to 12-15+ pages in length. Short papers should be 6-11 pages in length. Paper templates can be downloaded from: - LaTeX2e Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip - Microsoft Word Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip == Objectives, Scope, and Topics == All the topics related to big data techniques, such as big data collection and storage, big data management and retrieval, big data mining approaches, and big data visualization, are in the scope of BDTA 2023. Besides, its applications in all related areas, such as business, education, medicine, management, and health, are also in the scope of BDTA 2023. We welcome contributions from the following fields: Hardware and Software solutions for Big Data Searching, Storing and Management Data Visualization and Visual Analytics Natural Language Processing in Big Texts Biomedical Imaging Pre-processing and Analysis Structured and Unstructured Data Mining Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms Scalable Computational Intelligence Tools Novel Computational Intelligence Approaches for Data Analysis Evolutionary and Bio-inspired Approaches for Big Data Analysis New Domains and Novel Applications Related to Big Data Technologies Educational Data Mining. Learning Analysis Artificial Intelligence in Education. Medical Informatics Information Systems Security Meta Heuristic Optimization Blockchain Technologies == Committees == General Chair Associate Prof. Zhiyuan Tan Edinburgh Napier University, Edinburgh, UK General Co-Chair Prof. Huiyu Zhou University of Leicester, Leicester, UK Technical Program Committee Chairs Associate Prof. Min Xu University of Technology Sydney, Sydney, Australia Dr Yulei Wu University of Exeter, Exeter, UK Technical Program Committee Co-Chair Prof. Wenwu Wang University of Surrey Prof. Ashkan Sami Edinburgh Napier University, Scotland Publicity and Social Media Chair Dr Yanchao Yu Edinburgh Napier University, Edinburgh, UK Workshop Chair Dr Xingjie Wei University of Leeds, Leeds, UK Sponsorship & Exhibit Chair Dr Nour Moustafa University of New South Wales (UNSW) Canberra, Canberra, Australia Publication Chair Prof. Amin Beheshti Macquarie University Sydney, Australia Local Chair Dr Kehinde Babaagba Edinburgh Napier University, Edinburgh, UK == Publication == All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH. Additional publication opportunities: EAI Transactions series (Open Access) EAI/Springer Innovations in Communications and Computing Book Series (titles in this series are indexed in Ei Compendex, Web of Science & Scopus) == Venue == Edinburgh, United Kingdom == Contact == EAI BDTA 2023 Conference Manager: sara.csicsayova at eai.eu From rbianchi at fei.edu.br Wed May 17 15:18:28 2023 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Wed, 17 May 2023 19:18:28 +0000 Subject: Connectionists: Final Call For Papers - BRACIS 2023 - 12th Brazilian Conference on Intelligent Systems Message-ID: <14F2651C-6221-442C-BB0E-227FF9E0A37F@fei.edu.br> Final Call For Papers - BRACIS 2023 - 12th Brazilian Conference on Intelligent Systems 12th Brazilian Conference on Intelligent Systems (BRACIS) Belo Horizonte, MG, Brazil, September 25th to 29th, 2023. https://www.bracis.dcc.ufmg.br/ *** Deadline for paper submissions LAST EXTENTION: May 21th, 2023 - AoE *** The Program Committee of the 12th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Belo Horizonte, MG, Brazil, from September 25th to 29th, 2023, at the UFMG. BRACIS is one of the most important events in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). The conference aims to promote theoretical aspects and applications of Artificial and Computational Intelligence and exchange scientific ideas among researchers, practitioners, scientists, and engineers. IMPORTANT DATES - Paper submission - May 21th, 2023 - Anywhere on Earth Timezone. - Notification to authors - July 29th, 2023. - Camera-ready copy due - August 10th, 2023. SPECIAL ISSUES Authors of selected papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS *Please, note that BRACIS submission is double-blind* This means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Submitted papers must be written in English and not exceed 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines. Springer?s proceedings LaTeX templates are also available in Overleaf. Submissions must be made online using the JEMS system: https://jems.sbc.org.br/bracis2023 All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Computer Science (LNCS) / Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. TOPICS OF INTEREST Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning (including Commonsense Reasoning, Model-Based Reasoning, Probabilistic Reasoning, and Approximate Reasoning) - Knowledge Representation and Reasoning in Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering - Combinatorial and Numerical Optimization - Computer Vision - Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Human-centric AI - Ethics GENERAL CHAIR Gisele Pappa (UFMG) Wagner Meira Jr (UFMG) PROGRAM CHAIRS Reinaldo A. C. Bianchi (Centro Universit?rio FEI) Murilo Nardi (UFSCAR) Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. From chiara.boldrini at iit.cnr.it Wed May 17 12:02:54 2023 From: chiara.boldrini at iit.cnr.it (Chiara Boldrini) Date: Wed, 17 May 2023 18:02:54 +0200 Subject: Connectionists: IEEE ComMag FT on Social-aware Communication Networks, Systems, Services and Applications (deadline: May 31, 2023) Message-ID: <20230517160254.vvKTg%chiara.boldrini@iit.cnr.it> =============================================================================== IEEE Communications Magazine Feature Topic on Social-aware Communication Networks, Systems, Services and Applications https://www.comsoc.org/publications/magazines/ieee-communications-magazine/cfp/social-aware-communication-networks-and Submission deadline: May 31, 2023 =============================================================================== Social network analysis has been an active area of research for several decades. ?t has recently though gained a big momentum with the booming popularity of social media, the proliferation of mobile devices and advancement of their capabilities and the semantically enriched user interactions that have exponentially grown, especially during the long-lasting COVID-19 pandemic. In general, social entities with close relationships (family, friends), sharing similar interests or belonging within the same community, tend to interact more often, more regularly and for longer periods than others, carrying with them an inherent concept of trust. Representing social interactions using directed or undirected graphs with nodes and edges carrying weight and different types of information, researchers have been able to identify users within certain circles of trust/distrust (friends, friends of friends, distrusted entities, friends of distrusted entities, etc.), communities of users sharing similar interests, the most influential users and information/influence flows, and to develop recommender system for users and content. The social dimension, however, cannot be separated from the spatial one: physical proximity affects relations between users, making social ties establishment more likely to succeed. Thus, online social networks and offline social interactions (mostly following users? mobility patterns) in the physical world can play a crucial role in a multitude of areas. As a result of the aforementioned considerations, social networks have attracted interest from researchers across multiple disciplines and for a wide range of challenges. Without being exhaustive: developing social-aware networking algorithms for improving various networking operations (most notably routing and information forwarding, resource allocation, content placement/caching/sharing etc.), identifying graph topology structure as well as its evolution, along with information/influence paths for maximizing the impact of information dissemination (with advertisements for new products and services in marketing being a direct application area) and exploring decision-making process in a social psychology context (with the Internet of Behaviors forming a new concept to be explored), designing incentive mechanisms for promoting cooperation and establishing trust in order to address security concerns (mostly concerning open, uncertain, highly dynamic and potentially competitive environments, such as Internet of Things). These challenges have often been addressed with the help of emerging informatics and communication technologies such as artificial intelligence (AI), big data analysis, and blockchain. The aim of this Feature Topic (FT) is to attract original works discussing the state-of-the-art and setting future directions in the area of social-aware networks and advanced applications in the following topical areas. - Graph modeling, learning/prediction, social network evolution with application in social-aware networks / systems and advanced applications; simulations, experiments - Recommender systems, community detection with application in social-aware networks / systems and advanced applications - Influence, trust, information propagation & evolution with application in social-aware networks / systems and advanced applications - Detection and mitigation of echo chambers, polarization, radicalization and other societal challenges exacerbated by social media platforms with application in social-aware networks / systems and advanced applications - Platforms, algorithms, systems and techniques integrating AI/blockchain/big data with social networking - Social-aware traffic management - Social-aware network infrastructure - Social-by-engineering design in 6G - Social-aware networking algorithms, techniques and social-aware communication systems - Internet of Things (IoT), Social-IoT, Internet of Behavior (IoB), Social Cyber-Physical Systems, Internet of People - Social sensing - Location-based social networks, user activity modeling and exploitation, mobility and behavior data mining - Advanced Innovative social network related applications and services - Multidisciplinary and interdisciplinary research on social networks for social-aware networking and advanced applications # Submission Guidelines Manuscripts should be tutorial in nature and should be written in a style comprehensible to the average reader in the Telecommunication/Communication field and to those outside the specialty of the manuscript. The maximum number of pages of any paper is SEVEN (7) magazine pages. Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Manuscript Submission Guidelines at https://www.comsoc.org/publications/magazines/ieee-communications-magazine/author-guidelines/manuscript-submission-policy All manuscripts to be considered for publication must be submitted by the deadline through Author Portal. Select the ?FT-2227 / Social-aware communication networks and systems? topic from the drop-down menu of Topic/Series titles. Please observe the dates specified here below noting that there will be no extension of submission deadline. # Important Dates Manuscript Submission Deadline: 31 May 2023 (Extended Deadline) Decision Notification: 30 July 2023 Final Manuscript: 30 September 2023 Publication: Fourth Quarter 2023 # Guest Editors Malamati Louta (Lead Editor and Series Editor) University of Western Macedonia, Greece Chiara Boldrini IIT-CNR Istituto di Informatica e Telematica, Italy Francesco Bonchi CENTAI, Italy Symeon Papavassiliou National Technical University of Athens, Greece De-Niang Yang Academia Sinica, Taiwan From v.steuber at herts.ac.uk Wed May 17 15:27:34 2023 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Wed, 17 May 2023 19:27:34 +0000 Subject: Connectionists: Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK Message-ID: Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 ?36,333 pa with potential to progress to ?43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate?s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required ? An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber at herts.ac.uk Professor Michael Schmuker, m.schmuker at herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From hugo.o.sousa at inesctec.pt Thu May 18 06:54:25 2023 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Thu, 18 May 2023 10:54:25 +0000 Subject: Connectionists: =?windows-1252?q?IACT=9223=40SIGIR=3A_Human_or_AI?= =?windows-1252?q?=3F_Deadline_Approaching?= Message-ID: *** Apologies for cross-posting *** ++ CFP: DEADLINE APPROACHING ++ ============================================================================================================================= The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT?23) The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Workshop website: https://en.sce.ac.il/news/iact23 Date: July 27, 2023 Location: Taipei, Taiwan. Paper submission deadline: Extended to May 23, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23 To bring the research community's attention to the limitations of current models in recognizing and characterizing AI vs. human authors, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster scientific advances in all aspects of author characterization. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - Full research papers: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the workshop topics. - Short research papers: up to 5 pages. It can describe ongoing research, resources, and demos. - Negative results papers: up to 5 pages. Highlighting tested hypotheses that did not get the expected outcome is also welcomed. - Position papers: up to 5 pages. Discussing current and future research directions. The length constraints do not include references. The submissions must be anonymous and will be peer-reviewed by at least two program committee members. Workshop Format: The authors of accepted papers will be given 15 minutes for a short oral presentation. The workshop will run as a hybrid event to allow virtual attendance and meet the SIGIR format. Workshop Topics: Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following: - Differentiation between AI-generated content and human-generated content and bot profiling - Characterization of conversational agents - Feature detection of authors for human vs. AI determination - Prompt understanding and recognition in language models - Personalized question-answering and conversation generation - Troll identification on social media - Review authenticity estimation - Multi-modal, multi-genre, and multilingual author analysis - Character analysis, description, and representation in narrative texts - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author characterization annotation schema - Evaluation of implicit author characterization - Author characterization in low-resource languages and under-studied domains - Accountability and regulation of AI-based information extraction, retrieval, and content generation - Copyright issues of AI-generated content - Ethical and privacy implications of author characterization and implicit information extraction - Fairness and bias of AI-generated content Organizing Committee: Marina Litvak - marinal at ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Irina Rabaev - irinar at ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Al?pio M?rio Jorge - amjorge at fc.up.pt; University of Porto; Porto, Portugal Ricardo Campos - ricardo.campos at ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal Adam Jatowt - adam.jatowt at uibk.ac.at; University of Innsbruck; Innsbruck, Austria Invited Speakers: Prof. Mark Last - Ben-Gurion University of the Negev, Israel Prof. Dr. Valia Kordoni - Humboldt-Universit?t Berlin, Germany Contacts: Dr. Marina Litvak: litvak.marina at gmail.com Dr. Irina Rabaev: irinar at ac.sce.ac.il All the best, Hugo Sousa on behalf of the IATC'23 Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Thu May 18 10:31:15 2023 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Thu, 18 May 2023 10:31:15 -0400 Subject: Connectionists: Job Opening: Full-time Research Assistant in Computational Perception Message-ID: apologies for cross-listings *Full-time Research Assistant position in Xiao Lab at American University, Washington DC. * Position Overview The Xiao Computational Perception Lab in the Department of Computer Science at American University is seeking a full-time Research Assistant (RA) / Lab Programmer for an NIH-funded project on the computational modeling of human material perception. Job Description The RA is to pursue research projects of his/her own as well as provide support for research carried out in the Xiao lab. Possible duties include: - Building VR/AR experimental interfaces with Unity3D - Python coding for behavioral data analysis - Collecting data for psychophysical experiments - Training machine learning models This is an ideal position for someone interested in gaining research experience in perception science and computational modeling before applying to graduate school. The position comes with a salary and full benefits. This position is initially for a one-year contract. Starting date is September 1st, 2023, or soon after. Position Requirements: - The ideal candidate should have a Bachelor's degree in computer science, engineering, neuroscience, cognitive science, or a related field. - The candidate should have strong programming skills in Python and is familiar with Numpy, Pandas, Sklearn. Having experience with PyTorch is a plus. - Experience with statistical methods (linear models, multivariate analysis, etc.). - Experience with psychophysics is not required but would be useful. The Lab and Facility Xiao Lab studies both human and computer vision with an emphasis on material perception and recognition. The lab currently has a few ongoing research projects: - Learning latent representation of human perception of material properties (NIH R15, PI) - Prediction of clinical trial outcomes with human experts and machine learning models (NSF SBE Core, PI) - Material and object perception in infants and children (Internal funded by American University, collaborating with Dr.Laurie Bayet ). - Volumetric Capture Studio (NSF MRI Co-PI) - Uncertainty estimation in few-shot learning in text classification The Xiao Lab is located in a state-of-the-art technology building, which is home to computer science, physics, math, and a design and build lab. The lab has high-performing GPU workstations, haptic phantom devices, VR headsets, and 3D printers. We also have access to a new NSF-funded Volumetric Capture Studio. Washington, DC, is the US capital and has a vibrant scene of computational cognition and computer vision research (e.g., NIH, NIST, Johns Hopkins University, George Washington University, George Mason University, Georgetown University, and the University of Maryland). How to apply Please submit your application, including a CV, and a cover letter describing your background, computational skills, experience, and motivation - preferably in PDF format, and the names of two references that have agreed to be contacted. Please submit the application no later than July 20th, 2023, to Prof. Bei Xiao at bxiao at american.edu. Representative Recent Publications? 1. Liao, C, Sawayama, M, Xiao, B. (2023) Unsupervised learning reveals interpretable latent representations for translucency perception. PLOS Computational Biology. Feb 8, 2023. PDF. 2. Liao, C, Sawayama, M, Xiao, B. (2022) Crystal or Jelly? Effect of Color on the Perception of Translucent Materials with Photographs of Real-world Objects. Journal of Vision. PDF . 3. He, J. Zhang, X., Shuo L. Wang, S, Huang, Q., Lu, C-T, Xiao, B. (2022) Semantic Editing On Segmentation Map Via Multi-Expansion Loss. Neurocomputing. 501,306-317. PDF. -- Bei Xiao, PhD Associate Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From shobeir at gmail.com Thu May 18 16:45:31 2023 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Thu, 18 May 2023 13:45:31 -0700 Subject: Connectionists: [CFP] KDD MLG'23 -- 19th International Workshop on Mining and Learning with Graphs Message-ID: [image: image.png] 19th International Workshop on Mining and Learning with Graphs (KDD-MLG 2023) August, 2023 In conjunction with KDD http://www.mlgworkshop.org/2023 Submission Deadline: May 30, 2023 Call for papers: This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances in graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs. To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications, empirical studies and reflection papers. As an example, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. More recently, the advent of neural methods for learning graph representations has spurred numerous works in embedding network entities for diverse applications including ranking and retrieval, traffic routing and drug-discovery. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains. Topics of interest include, but are not limited to: - Theoretical aspects: - Computational or statistical learning theory related to graphs - Theoretical analysis of graph algorithms or models - Sampling and evaluation issues in graph algorithms - Analysis of dynamic graphs - Algorithms and methods: - Graph mining - Probabilistic and graphical models for structured data - Heterogeneous/multi-model graph analysis - Network embedding and graph neural network models - Statistical models of graph structure - Combinatorial graph methods - Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graphs - Applications and analysis: - Analysis of social media - Analysis of biological networks - Knowledge graph construction - Large-scale analysis and modeling We welcome many kinds of papers, such as, but not limited to: - Novel research papers - Demo papers - Work-in-progress papers - Visionary papers (white papers) - Appraisal papers of existing methods and tools (e.g., lessons learned) - Evaluatory papers which revisit validity of domain assumptions - Relevant work that has been previously published - Work that will be presented at the main conference Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long (excluding references)? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for resubmission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and a subset will also be chosen for oral presentation. Timeline: Submission Deadline: May 30, 2023 Notification: June 23, 2023 Final Version: July 10, 2023 Workshop: August TBD, 2023 Submission instructions can be found on http://www.mlgworkshop.org/2023/ Please send enquiries to chair at mlgworkshop.org Organizers: Neil Shah (Snap) Shobeir Fakhraei (Amazon) Da Zheng (Amazon) Bahare Fatemi (Google) Leman Akoglu (CMU) To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 136597 bytes Desc: not available URL: From nagai.yukie at mail.u-tokyo.ac.jp Thu May 18 23:55:03 2023 From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp) Date: Fri, 19 May 2023 03:55:03 +0000 Subject: Connectionists: Project Research Associate / Project Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo Message-ID: <4610A4B7-EA1C-4B4C-9643-A8EB3549A552@mail.u-tokyo.ac.jp> Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Project Research Associate / Project Researcher in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. Please send the required documents if you are interested in being considered. Call for Project Research Associate / Project Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2023/04/20230420-G-koubo-Nagailab-en.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp/en/ ---------- 1. Job title Project Research Associate / Project Researcher 2. Employment period >From adoption date to March 31, 2024 (starting date is negotiable) 3. Renewable The contract may be renewed on an annual basis. The final date of the employment is March 31, 2026. Renewal will be judged based on the budgetary situation, the progress of the work engaged in, remaining work at the end of the contract period, work performance, work attitude, health situation, and other factors. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description The successful candidates will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and related topics. They will investigate the principles of human cognitive development and disorders by either modeling computational neural networks inspired by the human brain or analyzing human cognitive behaviors. For more details about our ongoing research, please visit our lab homepage (https://developmental-robotics.jp/en/). 6. Salary and benefits - Salary: Annual salary system in accordance with the University of Tokyo Regulations, with a monthly salary of around ?390,000 - ?500,000 including Merit Based Allowances. - Commuter allowance: JPY55,000 per month at maximum - No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents - Cover letter (English or Japanese) - Curriculum vitae (English or Japanese) - Publication list (English or Japanese) - Research plan (English or Japanese, A4 2-3 pages) - Name, affiliation, and email address of two references (one of which should be a current employer or supervisor) 9. Submission Interested applicants should send application materials (PDF format) to: yukie at ircn.jp with the email title "Application for Project Research Associate / Project Researcher at IRCN Nagai Lab?. 10. Application deadline September 30, 2023. Once a suitable candidate has been selected, the recruitment process will be closed. ---------- Best, Yukie ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org From nathanyaqueby21 at gmail.com Thu May 18 19:23:23 2023 From: nathanyaqueby21 at gmail.com (Nathanya Queby Satriani) Date: Fri, 19 May 2023 01:23:23 +0200 Subject: Connectionists: =?utf-8?q?=F0=9F=94=B5_Expert_Talk_on_AI_in_the_M?= =?utf-8?q?usic_Industry_with_Taha_Bouhoun_=28Weights_=26_Biases=29?= Message-ID: Dear AI students and enthusiasts, Welcome to our third expert talk hosted by the neuron.ai AI Brainery team! We are excited to bring together leading experts in the field of Artificial Intelligence to share their knowledge and insights with our community. Our expert speakers will discuss a wide range of topics within AI, from the latest research and development to practical applications and their impact on society. We are delighted to welcome Taha Bouhoun from Weights & Biases as the expert on stage on May 24th. He will talk about the various applications of AI in the music industry from a data science and machine learning perspective. We invite you to join us for this exciting event and participate in the conversation on the future of AI. This event will be held in hybrid mode with the possibility to join either via Zoom or in person at the Johannes Kepler University campus. Wednesday, May 24th, 2023 18:00 CET - open end (12:00 pm EST, 5:00 pm BST, 9:30 pm IST) Zoom & JKU Campus Details on the location as well as the Zoom link will be sent via email a few days prior to the event. If you have not received them, please check your spam folder and feel free to contact us if you have further questions. Register via the following link: https://neuron-ai.at/event/expert-talk-taha-bouhoun/ Don?t miss your chance to hear from industry leaders, ask questions, and network with like-minded individuals. Sign up now to secure your spot at neuron.ai ?s third expert talk on Artificial Intelligence. Best regards, Nathanya Queby Satriani -------------- next part -------------- An HTML attachment was scrubbed... URL: From henry.gouk at gmail.com Thu May 18 19:11:04 2023 From: henry.gouk at gmail.com (Henry Gouk) Date: Fri, 19 May 2023 00:11:04 +0100 Subject: Connectionists: Edinburgh Workshop on Affordable Machine Learning Message-ID: We invite you to join us for the First Edinburgh Workshop on Affordable Machine Learning. This will take place on 30th June (09:00-17:00) at Edinburgh University's Informatics forum. Machine learning algorithms have achieved outstanding successes in e.g. computer vision and natural language processing. However, the widespread adoption of machine learning techniques often faces barriers due to high computing and data requirements, limiting access to these powerful tools. This workshop will provide a platform for researchers and industrial practitioners to share insights, experiences, and innovations in developing machine learning solutions that are both computationally affordable and data efficient through a mixture of presentations, discussions, and interactive sessions. In addition to attending the event, we would like to encourage anyone interested to submit work (published or otherwise) for presentation at the workshop. This will be either in the form of a talk or a poster. To register for attendance, and to submit work, please see the workshop website: https://www.bayeswatch.com/affordable_ml/ We look forward to seeing you in Edinburgh! Henry Gouk, Elliot J. Crowley, Amos Storkey Workshop organisers -------------- next part -------------- An HTML attachment was scrubbed... URL: From kwimmer at crm.cat Fri May 19 05:27:56 2023 From: kwimmer at crm.cat (Klaus Wimmer) Date: Fri, 19 May 2023 11:27:56 +0200 Subject: Connectionists: Postdoc position in computational neuroscience / decision making, CRM Barcelona Message-ID: Post-doctoral Position in Computational Neuroscience Wimmer Lab, Centre de Recerca Matem?tica, Barcelona, Spain We are currently seeking a postdoctoral researcher to join the Computational Neuroscience Group at the Center for Research in Mathematics (CRM) in Barcelona, Spain (https://www.crm.cat/computational-neuroscience/). Under the supervision of Klaus Wimmer, this position offers an exciting opportunity to combine computational modeling, psychophysics, and EEG to study the computational mechanisms underlying flexible evidence integration in perceptual decision making. Candidates should possess a strong computational background, a keen interest in neuroscience, and hold a PhD in computational neuroscience, cognitive neuroscience, physics, mathematics, or a related field. Experience in designing psychophysical experiments, neuroimaging, and/or developing computational models, computational neuroscience and machine learning is required. The successful candidate will benefit from the vibrant scientific environment of Barcelona, particularly in Theoretical and Systems Neuroscience. Our lab is part of a collaborative network of neuroscience research groups in Barcelona (http://www.barccsyn.org). APPLICATION: Interested applicants are encouraged to promptly email kwimmer at crm.cat with their CV and motivation letter. STARTING DATE: The position is available immediately, and applications will be reviewed on a rolling basis until the position is filled. Best regards, Klaus Wimmer CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matem?tica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo at crm.cat. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Fri May 19 06:34:31 2023 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Fri, 19 May 2023 10:34:31 +0000 Subject: Connectionists: Wanted: Senior Lecturer Autonomous Learning Systems and Reinforcement Learning (incl. responsibility in research & leadership) in Winterthur/Switzerland Message-ID: Dear connectionsists, for our fast-growing Centre for Artificial Intelligence at the Zurich University of Applied Sciences in Winterthur/Switzerland, we are looking as head of a new research group and member of the Centre Board for a Senior Lecturer Autonomous Learning Systems and Reinforcement Learning (incl. responsibility in research & leadership) 50 - 100 %. To apply: https://ohws.prospective.ch/public/v1/jobs/c2e714f3-aec3-42c4-83fa-c4ad1d803f6c For context: https://www.zhaw.ch/en/engineering/institutes-centres/cai/ If you have any questions, please get in touch directly with me. Best, Thilo ------------------------------------------------------------------------------------------------------------- ZHAW School of Engineering Prof. Thilo Stadelmann, Dr. rer. nat., FECLT, SMIEEE Director of Centre for Artificial Intelligence Head of Computer Vision, Perception and Cognition Group Phone: +41 58 934 72 08, fax: +41 58 935 72 08 Email: thilo.stadelmann at zhaw.ch Web: www.zhaw.ch/cai, http://stdm.github.io Office: TN 03.64, Technikumstrasse 71, CH-8400 Winterthur Postal address: ZHAW School of Engineering, Thilo Stadelmann, Postfach, CH-8401 Winterthur, Switzerland Site plan: https://www.zhaw.ch/storage/shared/hochschule/lageplaene/lageplan-winterthur-technikumstrasse.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Fri May 19 12:07:13 2023 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Fri, 19 May 2023 12:07:13 -0400 Subject: Connectionists: Machine Learning Research School (MLRS), August 2023, Bangkok Message-ID: Dear all, The second Machine Learning Research School (MLRS ) will be held at Digital Economy Promotion Agency (DEPA) in Bangkok, Thailand between August 2 - 9, 2023 (8 days), including one day of Bangkok city tour. The MLRS aims to provide basic understanding of machine learning research to students, researchers, and practitioners, through comprehensive tutorials by renowned machine learning experts. === INVITED SPEAKERS & TOPICS === 1. Diyi Yang , Stanford University (natural language processing) 2. Fisher Yu , ETH Z?rich (computer vision) 3. David Rolnick , McGill University and Mila (AI for climate change) 4. Sara Hooker , Cohere For AI (machine learning and fairness) 5. Zheng Wen , Google DeepMind (reinforcement learning) 6. Pasin Manurangsi , Google Research (privacy and approximation algorithms) 7. Chih-Jen Lin , National Taiwan University (fundamentals of machine learning) 8. Emtiyaz Khan , RIKEN center for Advanced Intelligence Project (Bayesian inference) === APPLICATION & PROGRAM === To participate, please apply at https://www.mlrs.ai/participate . Application deadline: June 7, 2023. Our target audience are research students, industry practitioners working on machine learning or related areas, and academics who wish to understand machine learning from a technical perspective. All applicants are subject to a selection process. There is no application fee. However, for applicants selected to participate, there is a small registration fee (details at https://www.mlrs.ai/participate). The registration fee will allow us to offer: 1. Lunch and two coffee breaks per day 2. Access to all lectures (in English). 3. Poster presentation by participants 4. Two coding sessions 5. Social events Full (tentative) schedule can be found at https://www.mlrs.ai/schedule. A limited number of scholarships in the form of a registration fee waiver is available for students who are accepted to attend MLRS. Everyone is welcome to apply regardless of their origin, nationality, and country of residence. === CONTACT ===: Please do not hesitate to contact us at mlresearchschool at gmail.com for any questions or suggestions. Kind regards, The MLRS 2023 Organizing Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Fri May 19 07:01:10 2023 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Fri, 19 May 2023 07:01:10 -0400 Subject: Connectionists: Call for Contributions to the CoLLAs 2023 Journal Track - Deadline June 01. Message-ID: Dear All, We invite submissions to the journal track of the second conference on Lifelong Learning Agents (CoLLAs 2023 ). This allows the community to present their recently published top-tier journal papers on CoLLAs topics (see the main track for a list of topics) and increase their visibility. Submission Guidelines Submissions to the journal track will go through a very light-weight review process mainly to make sure that the following conditions are met: 1. The paper has to be in the scope of CoLLAs. Topics of interest include lifelong learning, continual learning, meta-learning, multi-task learning, transfer learning, curriculum learning, domain adaptation, few-shot learning, out-of-distribution generalization, online learning, and active learning. 2. The paper was published within the last 24 months in a top-tier journal in machine learning or a related field. 3. The paper was published in the journal under an open-access license (i.e., readers don?t have to pay or register in any form to read the paper). We consider journals such as JMLR, TMLR, and JAIR as top-tier and open-access journals, so papers recently published in these journals directly qualify for this track. For other top-tier journals, such as, e.g., IEEE TPAMI, AIJ or MLJ, papers only qualify if the open-access option was purchased. We note that open access has to be established by the time of submission. *TMLR will provide a ?CoLLAs certification? for TMLR papers that are accepted to be presented at the CoLLAs conference.* You can make your submissions here . Presentation at the Conference Authors of accepted papers have the chance to present their papers in a short video and in the poster presentation, exactly like authors of papers in the main track. Deadline Submission: June 01, 2023 Notification: June 06, 2023 Sarath Chandar, Razvan Pascanu, Hanie Sedghi CoLLAs 2023 Program Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Fri May 19 08:42:44 2023 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Fri, 19 May 2023 14:42:44 +0200 Subject: Connectionists: [jobs] Professorship for Human-AI Interaction, Dortmund/Bochum/Duisburg/Essen, Germany Message-ID: Dear Connectionists, I would like to point you to this job ad for a very attractive professorship at the Research Center Trustworthy Data Science and Security. The funding and working conditions are exceptional, teaching load significantly reduced. Best regards, Laurenz Wiskott. PS: Please send inquiries to daniel.neider at cs.tu-dortmund.de, not to me. ----- Forwarded message from "Prof. Dr. Emmanuel M?ller" ----- Date: Mon, 15 May 2023 08:58:20 +0200 From: "Prof. Dr. Emmanuel M?ller" To: Cc: Subject: Professorship for Human-AI Interaction Dear colleagues, here's your opportunity to shape the future of Trustworthy Artificial Intelligence as part of our interdisciplinary research team. The Research Center Trustworthy Data Science and Security https://rc-trust.ai/ is looking for an open rank professorship position to be filled as early as possible: Professorship for Human-AI Interaction (Open Rank: W3 tenured or W2 with W3 tenure track) at the Department of Computer Science, TU Dortmund University https://static.rc-trust.ai/Full_Professorship_W3_Human-AI_Interaction.pdf If you are interested, please drop us a message. We are seeking an outstanding scientist who holds an excellent PhD in Computer Science or related disciplines, has experience in applying for third-party funds and has published in relevant and highly-ranked international venues with peer review. In particular, we welcome applications of candidates who have conducted excellent research in one or more of the following areas: ? Human-AI collaboration ? User control of machine learning ? Auditing intelligent systems ? Design of interactive natural language systems ? AI-assisted software engineering ? User-centric voice and text assistants ? Transparent and explainable artificial intelligence ? AI-aided data exploration and visualization ? Reinforcement learning from human feedback ? Personalization, recommendation and adaptation of algorithms ? Human-Computer interaction for intelligent systems ? Generative AI and content co-creation ? Hybrid intelligence If you are interested in the position, please send your application via e-mail by June 21st to: bewerbung at cs.tu-dortmund.de Bests, Emmanuel M?ller -- Prof. Dr. Emmanuel M?ller Professor of Computer Science Technical University of Dortmund Chair of Data Science and Data Engineering http://ls9-www.cs.tu-dortmund.de/ Founding Director Research Center Trustworthy Data Science and Security University Alliance Ruhr https://rc-trust.ai/ ----- End forwarded message ----- From david at irdta.eu Sat May 20 02:42:55 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 20 May 2023 08:42:55 +0200 (CEST) Subject: Connectionists: BigDat 2023 Summer: early registration May 24 Message-ID: <515169806.758809.1684564976023@webmail.strato.com> *********************************************** 7th INTERNATIONAL SCHOOL ON BIG DATA BigDat 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://bigdat.irdta.eu/2023su *********************************************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice - IRDTA Brussels/London *********************************************** Early registration: May 24, 2023 *********************************************** FRAMEWORK: BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested. SCOPE: BigDat 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona. Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/ STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Valerie Daggett (University of Washington), Dynameomics: From Atomistic Simulations of All Protein Folds to the Discovery of a New Protein Structure to the Design of a Diagnostic Test for Alzheimer?s Disease Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange PROFESSORS AND COURSES: Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data Marcelo Bertalm?o (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks Gianluca Bontempi (Universit? Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis Ravi Kumar (Google), [intermediate/advanced] Differential Privacy Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Jos? M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science Sebasti?n Ventura (University of C?rdoba), [intermediate] Supervised Descriptive Pattern Mining OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://bigdat.irdta.eu/2023su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in DeepLearn 2023 Summer. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://bigdat.irdta.eu/2023su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Sat May 20 07:07:33 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Sat, 20 May 2023 14:07:33 +0300 Subject: Connectionists: 19th IEEE eScience Conference (eScience 2023): Combo Call for Workshop Papers Message-ID: *** Combo Call for Workshop Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023. eScience 2023 will host a number of workshops which will be co-located with the main conference on Monday, October 9 and Tuesday, October 10, 2023. The eScience conference has a long history of hosting well-attended workshops. These workshops share the goal of bringing together international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. Workshops play a crucial role in the conference by providing an opportunity for researchers and practitioners to present their work in a more focused way than the conference itself and to have in-depth discussions of particular topics of interest to the community. eScience 2023 will host the following workshops: ? 1st Workshop on cItizeN Science engagemenT based on Ict soLutions (INSTIL 2023) http://www.instil-science.eu ? 3rd Workshop on E-science ReseaRch leading tO negative Results (ERROR 2023) https://error-workshop.org ? 3rd Workshop on Reproducible Workflows, Data Management, and Security (ReWorDS 2023) https://sites.google.com/vols.utk.edu/rewords23/home ? 4th Global Research Platform (4GRP) Workshop https://www.theglobalresearchplatform.net ? IEEE International Workshop on Artificial Intelligence for Health (AI4Health 2023) https://www.ai4health.icar.cnr.it ? Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience (RSE-eScience-2023) https://us-rse.org/rse-escience-2023/ KEY DATES ? ? Workshop papers submission deadline: Defined per workshop, not before end June 2023 ? Notification of acceptance: Defined per workshop ? IEEE proceedings camera ready: July 21, 2023 ? Workshop days: October 9-10, 2023 ? Deadlines refer to 23:59 in the AoE (Anywhere on Earth) time zone. ORGANISATION General Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs ? Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA ? Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Sat May 20 08:08:49 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Sat, 20 May 2023 14:08:49 +0200 Subject: Connectionists: ACDL 2023, 6th Advanced Course on Data Science & Machine Learning - From Deep Learning to Foundation Models | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by May 23 * Hurry up! There are only few free places left! * Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * *** Hurry up! There are only few free places left! *** ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models *If you want to learn Transformers, Large language models (e.g., GPT family, BERT, Megatron-Turing NLG, ...)Vision - Large-scale vision models (e.g., MAE, SimCLR, ...)Vision and language (e.g., DALL.E, ALIGN, CLIP, ...)Beyond vision and language (e.g. video, Knowledge-Graph, structured data, multilingual, ...)and much more then take part in ACDL 2023! ;-)* Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2023.icas.cc acdl at icas.cc EARLY REGISTRATION: by May 23 https://acdl2023.icas.cc/registration/ Oral Presentation Submission Deadline: by May 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2023.icas.cc/lecturers/ Luca Beyer, Google Brain, Z?rich, Switzerland Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" Lecture 3: "Transformers 1/2" Lecture 4: "Transformers 2/2" Aakanksha Chowdhery, Google Brain, USA Lecture 1: "PaLM-E: An Embodied Language Model" Lecture 2: "Efficiently Scaling Large Model Inference" Thomas Kipf, Google Brain, USA Lecture 1: "Graph Neural Networks 1/2" Lecture 2: "Graph Neural Networks 2/2" Lecture 3: "Structured Representation Learning for Perception 1/2" Lecture 4: "Structured Representation Learning for Perception 2/2" Pushmeet Kohli, DeepMind, London, UK Lectures: TBA Yi Ma, University of California, Berkeley, USA Lecture 1: "An Overview of the Principles of Parsimony and Self-Consistency: The Past, Present, and Future of Intelligence" Lecture 2: "An Introduction to Low-Dimensional Models and Deep Networks" Lecture 3: "Parsimony: White-box Deep Networks from Optimizing Rate Reduction" Lecture 4: "Self-Consistency: Closed-Loop Transcription of Low-Dimensional Structures via Maximin Rate Reduction" Gerhard Paass, Fraunhofer Institute - IAIS, Germany Lecture 1: "Introduction to Foundation Models" Lecture 2: "Foundation Models for Retrieval Applications" Lecture 3: "Combining Foundation Models with External Text Resources" Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 Panos Pardalos, University of Florida, USA Lecture : "Diffusion capacity of single and interconnected networks" Qing Qu, University of Michigan, USA Lecture 1: "Low-Dimensional and Nonconvex Models for Shallow Representation Learning" Lecture 2: "Low-Dimensional Structures in Deep Representation Learning I" Lecture 3: "Low-Dimensional Structures in Deep Representation Learning II" Lecture 4: "Robust Learning of Overparameterized Networks via Low-Dimensional Models" Zoltan Szabo, LSE, London, UK Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs" Michal Valko, DeepMind Paris & Inria France & ENS MVA Lecture 1: "Reinforcement learning" Lecture 2: "Deep Reinforcement Learning" Lecture 3: "Learning by Bootstrapping: Representation Learning" Lecture 4: "Learning by Bootstrapping: World Models" TUTORIAL SPEAKERS: Each Tutorial Speaker will hold more than four lessons on one or more research topics. Bruno Loureiro, ?cole Normale Sup?rieure, France Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning" Varun Ojha, Newcastle University, UK Lecture 1: "Characterization of Deep Neural Networks" Lecture 2: "Backpropagation Neural Tree" Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms" https://acdl2023.icas.cc/lecturers/ PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/ ACDL 2023 VENUE: Riva del Sole Resort & SPA Localit? Riva del Sole ? Castiglione della Pescaia (Grosseto) CAP 58043 ? Tuscany ? Italy p: +39-0564-928111 f: +39-0564-935607 e: events at rivadelsole.it w: www.rivadelsole.it https://acdl2023.icas.cc/venue/ PAST EDITIONS: https://acdl2023.icas.cc/past-editions/ REGISTRATION: https://acdl2023.icas.cc/registration/ CERTIFICATE & 8 ECTS: PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. Anyone interested in participating in ACDL 2023 should register as soon as possible. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors. *6th Advanced Course on Data Science & Machine Learning - ACDL2023* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by May 23 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *9th International Conference on machine Learning, Optimization & Data science ? LOD 2023 *September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission Deadline: May 10* *ACAIN 2023, the* *3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience*, September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK FB: https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/ The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Sat May 20 12:01:42 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Sat, 20 May 2023 18:01:42 +0200 Subject: Connectionists: LOD 2023 1st CfP: The 9th Int. Conf. on Machine Learning, Optimization & Data Science, September 22-26, Lake District England - Paper Submission Deadline: June 10 In-Reply-To: References: Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 9th International Conference on Machine Learning, Optimization, and Data Science ? LOD 2023 - September 22-26, Lake District, UK LOD 2023, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders Satellite Events: International Meeting on Foundation Models Workshop AI for Medicine 25 Tracks https://lod2023.icas.cc lod at icas.cc PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2023 Paper Submission deadline: June 10 (Anywhere on Earth) CALL FOR PAPERS: https://lod2023.icas.cc/call-for-papers/ Please prepare your paper using the Springer Nature ? Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2023, authors are required to select one of the following three types of papers: * long paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; LOD 2023 KEYNOTE SPEAKERS: Gabriel Barth-Maron, DeepMind, London, UK Talk(s): TBA Anthony G. Cohn, University of Leeds, UK & The Alan Turing Institute, UK "Evaluating the Commonsense Reasoning abilities of Foundation Models" Sven Giesselbach, Fraunhofer Institute - IAIS, Germany "Foundation Models" "GPT" "OpenGPT-X and Application and Practical Training of Large Scale Language Models" LOD / ACAIN 2023 KEYNOTE SPEAKERS: https://acain2023.icas.cc/course-lecturers/ Aldo Faisal, Imperial College London Karl Friston, University College London Kenneth Harris, University College London Rosalyn Moran, King's College London Edmund Rolls, University of Oxford Michael Wooldridge, University of Oxford More Keynote Speakers TBA PAST LOD & ACAIN KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ https://acain2023.icas.cc/past-lecturers/ 25 TRACKS: https://lod2023.icas.cc/tracks/ BEST PAPER AWARD: Springer sponsors the LOD 2023 Best Paper Award with a cash prize of 1,000 Euro. https://lod2023.icas.cc/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2023.icas.cc/program-committee/ VENUE: https://lod2023.icas.cc/venue/ ?ESCAPE THE HURRYING WORLD ? The loveliest spot that man hath ever found?? Escape to the Lake District, England ? a UNESCO World Heritage site ? and you?ll find it?s easy to share William Wordsworth?s delight in the area. The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK Phone: +44-1539-435592 Email: enquiry at thewordsworthhotel.co.uk Web: www.thewordsworthhotel.co.uk ACCOMMODATION: https://lod2023.icas.cc/accommodation/ ACTIVITIES: https://lod2023.icas.cc/activities/ WALKS in the Lake District National Park: https://lod2023.icas.cc/walks/ Submit your research work today! https://easychair.org/conferences/?conf=lod2023 See you in the beautiful Lake District - England in September! Best regards, LOD 2023 Organizing Committee. Past Editions https://lod2023.icas.cc/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ * Apologies for multiple copies. Please forward to anybody who might be interested * lod at icas.cc https://lod2023.icas.cc LOD2023 Poster: https://lod2023.icas.cc/wp-content/uploads/sites/23/2023/01/LOD-2023-poster.png -- *6th Advanced Course on Data Science & Machine Learning - ACDL2023* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by May 23 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *9th International Conference on machine Learning, Optimization & Data science ? LOD 2023 *September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission Deadline: June 10* *ACAIN 2023, the* *3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience*, September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK FB: https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/ The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Sat May 20 18:18:06 2023 From: terry at salk.edu (Terry Sejnowski) Date: Sat, 20 May 2023 15:18:06 -0700 Subject: Connectionists: NEURAL COMPUTATION - June 1, 2023 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 35, Number 6 - June 1, 2023 Now available for online download: http://www.mitpressjournals.org/toc/neco/35/6 http://cognet.mit.edu/content/neural-computation ----- Articles Scalable Variational Inference for Low-rank Spatio-temporal Receptive Fields Lea Duncker, Kiersten M. Ruda, Greg D. Field, and Jonathan Pillow Sensitivity to Control Signals in Triphasic Rhythmic Neural Systems: A Comparative Mechanistic Analysis via Infinitesimal Local Timing Response Curves Zhuojun Yu, Jonathan E. Rubin, and Peter J. Thomas Letters Automatic Hyperparameter Tuning in Sparse Matrix Factorization Koujin Takeda, Ryota Kawasumi Deep Learning Solution of the Eigenvalue Problem for Differential Operators Leah Bar, Ido Ben-Shaul, Dalia Fishelov, and Nir Sochen Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks Shuo HUANG, Junyu Zhou, Han Feng, and Ding-Xuan Zhou ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From daniel.polani at gmail.com Sat May 20 20:48:02 2023 From: daniel.polani at gmail.com (Daniel Polani) Date: Sun, 21 May 2023 01:48:02 +0100 Subject: Connectionists: Research Fellowship on Emerging Topics in Robotics Message-ID: Research Fellowship on Emerging Topics in Robotics University of Hertfordshire (UH), UK Adaptive Systems Research Group (Head of Group: Daniel Polani) Application deadline: 14. June 2023 We seek a full-time Research Fellow to join our group with the aim to conduct research in novel and emerging approaches in robotics. Examples of our interests include - models of intrinsic motivation - inter human-like interaction patterns - models for robotic competence extension beyond the training domain - novel approaches sensorimotor loop design - systematic, principled exploitation of embodiment however, other innovative, forward-loooking and out-of-the-box topics will also be considered with interest. As a Research Fellow, you will join the enthusiastic and dynamic Adaptive Systems Research Group in the Department of Computer Science at the School of Physics, Engineering and Computer Science (SPECS), at the University of Hertfordshire in the UK. Hatfield is very conveniently located in easy reach of Heathrow, Luton and Stansted Airport, and 25 minutes by train from Kings Cross, London. Please see the full advert under: https://www.jobs.ac.uk/job/CZX256/research-fellow-in-emerging-topics-in-robotics I will be happy to answer any further questions. Please contact me under: Daniel Polani (d.polani at herts.ac.uk) -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Sun May 21 04:41:59 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Sun, 21 May 2023 10:41:59 +0200 Subject: Connectionists: CfP ACAIN 2023 - 3rd Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-26, 2023, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK Message-ID: _______________________________________________________________ Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience September 22-26, 2023 The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK W: https://acain2023.icas.cc E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ LECTURERS: https://acain2023.icas.cc/course-lecturers/ Aldo Faisal, Imperial College London Lecture 1: TBA Lecture 2: TBA Karl Friston, University College London Lecture 1: "Deep inference" Lecture 2: "Active inference and artificial curiosity" Kenneth Harris, University College London Lecture 1: TBA Lecture 2: TBA Rosalyn Moran, King's College London Lecture 1: TBA Lecture 2: TBA Edmund Rolls, University of Oxford Lecture 1: "Biologically plausible computational neuroscience: memory and navigation" Lecture 2: "Biologically plausible computational neuroscience: emotion and depression" Michael Wooldridge, University of Oxford Lecture 1: TBA Lecture 2: TBA Early Registration (Course): by June 10 https://acain2023.icas.cc/registration/ PAPER SUBMISSION DEADLINE (Symposium): by June 10 https://acain2023.icas.cc/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2023 SCOPE & MOTIVATION: ACAIN 2023: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2023 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 3rd Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium at the The Wordsworth Hotel & SPA in Grasmere ? Lake District, England - UK on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 25-26), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-24). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium ? ACAIN 2023, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2023 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. COURSE DESCRIPTION: https://acain2023.icas.cc/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2023.icas.cc/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2023.icas.cc/program-committee/ Submission site: https://easychair.org/conferences/?conf=acain2023 DEADLINES: https://acain2023.icas.cc/deadlines/ * Call for Papers - Symposium Deadlines: * Paper Submission (Symposium): by Saturday June 10, 2023 (AoE). Notification of Decision for Papers (Symposium): by Monday July 10, 2023. Camera Ready Submission (Symposium): by Monday July 20, 2023. Early Registration (Symposium): by Thursday July 20, 2023. Late Registration (Symposium): from Friday July 21, 2023. * Call for Participation - Advanced Course Deadlines: * Early Registration (Course): by 10 June, 2023. Late Registration (Course): from 11 June, 2023. Oral Presentation Submission (Course): by 10 June, 2023. Notification of Decision for Oral Presentation (Course): by 10 July, 2023. ORGANIZING COMMITTEE: https://acain2023.icas.cc/symposium-committee/ VENUE & ACCOMMODATION: https://acain2023.icas.cc/venue/ The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK P: +44-1539-435592 E: reception at thewordsworthhotel.co.uk W: www.thewordsworthhotel.co.uk Each delegate must to book the accommodation at the venue and pay the amount for accommodation, meals directly to The Wordsworth Hotel & SPA enquiry at thewordsworthhotel.co.uk The reservations must be made by contacting the reception team at The Wordsworth Hotel & SPA enquiry at thewordsworthhotel.co.uk indicating in the reservation that it is a booking for LOD 2023 Conference. ACCOMMODATION: https://acain2023.icas.cc/accommodation/ ACTIVITIES: https://acain2023.icas.cc/activities/ WALKS: https://acain2023.icas.cc/walks/ REGISTRATION: https://acain2023.icas.cc/registration/ See you in Lake District in September! ACAIN 2023 Organizing Committee. E: acain at icas.cc W: https://acain2023.icas.cc/ FB: https://www.facebook.com/ACAIN.LakeDistrict -- *6th Advanced Course on Data Science & Machine Learning - ACDL2023* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by May 23 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *9th International Conference on machine Learning, Optimization & Data science ? LOD 2023 *September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission Deadline: June 10* *ACAIN 2023, the* *3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience*, September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission Deadline: June 10* FB: https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/ The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. -------------- next part -------------- An HTML attachment was scrubbed... URL: From l.s.smith at cs.stir.ac.uk Sun May 21 06:19:08 2023 From: l.s.smith at cs.stir.ac.uk (Prof Leslie Smith) Date: Sun, 21 May 2023 11:19:08 +0100 Subject: Connectionists: New Book: The Cooperative Neuron, by Bill Phillips Message-ID: <9df95373397777eaf3115d26ee47602b.squirrel@mail.cs.stir.ac.uk> Dear all: My mentor and colleague William A. (Bill) Phillips has published a new book: W.A. Phillips, The Cooperative Neuron: Cellular Foundations of Mental Life, Oxford https://global.oup.com/academic/product/the-cooperative-neuron-9780198876984 This book relates mental life to the intracellular processes from which it arises. Of particular interest to this list is the characterisation of layer 5 neocortical pyramidal neurons as two-point integrators, basally integrating driving input, and apically integrating context, so that their apical input modulates the driving input, and the development of that this may imply. But there's a lot more to this book too. Quoting Matthew Larkum's introduction ... "With this book Bill Phillips attempts nothing less than to explain the relationship between the mind and brain, starting from bottom-up principles." If that doesn't whet your appetite, then what would? In addition, it's quite readable! --Leslie Smith -- Prof Leslie Smith (Emeritus) Computing Science & Mathematics, University of Stirling, Stirling FK9 4LA Scotland, UK Tel +44 1786 467435 Web: http://www.cs.stir.ac.uk/~lss Blog: http://lestheprof.com From benoit.cottereau at cnrs.fr Sun May 21 13:38:32 2023 From: benoit.cottereau at cnrs.fr (=?Windows-1252?Q?COTTEREAU_Beno=EEt?=) Date: Sun, 21 May 2023 17:38:32 +0000 Subject: Connectionists: =?windows-1252?q?Three_fully_funded_PhD_fellowshi?= =?windows-1252?q?ps_in_computational_neurosciences_=28Benoit_Cottereau=92?= =?windows-1252?q?s_team=2C_Cerco=2C_CNRS_UMR_5549_in_Toulouse_and_IPAL_IR?= =?windows-1252?q?L_2955_in_Singapore=29_on_spatial_cognition_with_spiking?= =?windows-1252?q?_neural_networks?= In-Reply-To: References: Message-ID: <2076ec141c364c3891f0b12b47d1a099@cnrs.fr> Three fully funded PhD fellowships in computational neurosciences (Benoit Cottereau?s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks Starting date: Second semester of 2023 Supervisors: Benoit Cottereau, research director at CNRS (Contact: benoit.cottereau at cnrs.fr), in close collaboration with Robby Tan, associate professor at National University of Singapore (NUS) Keywords: Computational neurosciences, Spatial cognition, Artificial intelligence (AI), Vision, Spiking neural networks, Event-based cameras Three fully funded PhD fellowships are available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director), in close collaboration with Robby Tan (assistant professor at NUS, Singapore). The aim of the project is to develop computational models of spatial cognition in humans (e.g., for depth/motion perception or navigation). In order to reproduce the very low energy consumption of visual information processing in biological systems, these models will be based on spiking-neural networks (SNNs) and will process data collected from event-based cameras. They should also adapt to variations in visual conditions (e.g., to night scenes or when parts of the input data are occluded). These models will be evaluated with respect to state-of-art approaches in computer vision/AI but also with respect to biological data (their responses will be compared to those observed in neural recordings and/or in behavioural experiments). The candidates should be willing to work in an international environment which involves Singapore and France, have a good level in English, very good programming skills and be interested in neurobiology. Some knowledge in neurosciences / cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Long stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. Each of the three positions will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau at cnrs.fr, including a CV and 2 names of references. **************************************************************************************************** Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at the Brain and Cognition Research Center (CerCo, CNRS, UMR 5549, Toulouse): http://cerco.cnrs.fr/page-benoit-cottereau/ Director of the SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University e-mail: benoit.cottereau at cnrs.fr phone: (+33)-5-62744520 -------------- next part -------------- An HTML attachment was scrubbed... URL: From julian at togelius.com Sun May 21 23:43:14 2023 From: julian at togelius.com (Julian Togelius) Date: Sun, 21 May 2023 23:43:14 -0400 Subject: Connectionists: Postdoctoral position in deep learning for video games (University of Malta + modl.ai) Message-ID: We have a great postdoctoral position for candidates who are interested in AI for video games. The position is based at the University of Malta, but the work will be carried out in collaboration with modl.ai, a Copenhagen-based game AI startup. The successful candidate will have access to the thriving research group at the Institute of Digital Games at the University of Malta as well as the researchers at modl.ai, and will be advised by Georgios Yannakakis, Julian Togelius (that's me), and Sebastian Risi. Read more and apply below. The application deadline is soon, so apply today! https://www.um.edu.mt/__data/assets/pdf_file/0008/512990/RSOIIIorIV-52-FoundationforAI-27.04.23.pdf Because of restrictions attached to the funding for this position, we can only consider European candidates (or spouses of Europeans). I'm happy to answer any further questions you might have. Julian -- Julian Togelius Associate Professor, New York University Department of Computer Science and Engineering mail: julian at togelius.com, web: http://julian.togelius.com From m.t.van.der.meer at liacs.leidenuniv.nl Mon May 22 04:29:13 2023 From: m.t.van.der.meer at liacs.leidenuniv.nl (Meer, M.T. van der (Michiel)) Date: Mon, 22 May 2023 08:29:13 +0000 Subject: Connectionists: [meetings][CfP] HHAI2023 26-30 June Call for Registration & Travel funds Message-ID: <7d414d50-42d3-78db-ec01-859b32a66097@liacs.leidenuniv.nl> Dear Receiver, Sorry for potential cross postings. We invite you to register for HHAI 2023: The Second International Conference on Hybrid Human-Artificial Intelligence. HHAI 2023 is happening in Munich, Germany on June 26-30 and we?re excited to share the conference program with you: HHAI is a multidisciplinary conference involving involves researchers from various fields like AI, HCI, sociology, psychology and more. HHAI focuses on AI systems that assist humans and vice versa, emphasising the need for adaptive, collaborative, responsible, interactive and human-centred intelligent systems that leverage human strengths and compensate for human weaknesses while considering social, ethical and legal considerations. We are only 5 weeks away from the conference! This year, we have a rich program featuring over 3 keynotes, 34 accepted papers, 17 posters, 4 demos, 8 doctoral colloquium students, 6 workshops, 3 tutorials, 1 hackathon, 2 industrial events, and 2 social events. When? Mon - Fri 26-30 June 2023 (in-person only event) Where? Munich, Germany Fees? Registration is now OPEN (Register by 2 June 2023 to receive the early bird discounts) https://hhai-conference.org/2023/registration/ Need financial assistance? [Application deadline: 26 May 2023] Check the travel grants from https://hhai-conference.org/2023/travel-funds/ Want to help us and get complimentary registration? [Application deadline: 31 May 2023] Check the student volunteers' call https://hhai-conference.org/2023/student-volunteering/ Program? https://hhai-conference.org/2023/program/ Need help in planning? Check local advice from https://hhai-conference.org/2023/conference-venue/ Feel free to pass the invitations to interested individuals. We look forward to hosting you in person in Munich! Warm regards, Paul Lukowicz, DFKI GmbH Sven Mayer, LMU Munich ? HHAI 2023 General Chairs ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.pavlovic at tuebingen.mpg.de Mon May 22 06:13:43 2023 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Mon, 22 May 2023 10:13:43 +0000 Subject: Connectionists: Open position: Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, Tuebingen, Germany Message-ID: <06132ef6ffd140bbb85fe45645f2f54e@tuebingen.mpg.de> Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, (m/f/d) (TV?D-Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of T?bingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI. The framework and motivation of the projects can be found at: https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI technology can be used in combination with other methods such as eye tracking, TMS and/or EEG methodologies, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as eye tracking, MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Highly skilled in fMRI experiments and data analysis. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain (www.lizhaoping.org ). Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG/ERP, and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute (MPI) for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university, at MPI, as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TV?D-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by July 31th, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li at tuebingen.mpg.de , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit https://www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 maria.pavlovic at tuebingen.mpg.de www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From spiglerg at gmail.com Mon May 22 08:20:22 2023 From: spiglerg at gmail.com (Giacomo Spigler) Date: Mon, 22 May 2023 14:20:22 +0200 Subject: Connectionists: [Jobs] Funded PhD position: "Large non-verbal Language Models (LnvLM) for human-agent interaction and cooperation" Message-ID: Dear colleagues, We have an opening for a fully-funded Ph.D. researcher position (flexible start date, but ideally September-November 2023). The successful candidate will work on a project to build the first Large non-verbal Language Model (LnvLM). The project will combine ideas and methods from robotics, human-robot interaction, and deep learning, and in particular deep reinforcement learning, imitation learning, and reinforcement learning from human feedback. The ideal applicant should have a strong interest in robotics and artificial intelligence (e.g, deep reinforcement learning). Requirements include strong algorithmic and programming skills (in particular a high proficiency in Python), and a master?s degree in computer science, robotics, artificial intelligence, or related fields. Prior experience with deep reinforcement learning / robotics / human-robot interaction is preferred but not required. The PhD student will join the AI for Robotics Lab (AIR-Lab; https://airlab-tilburg.github.io ) at the Department of Cognitive Science and Artificial Intelligence of Tilburg University (Tilburg, The Netherlands). AIR-Lab is a newly established research lab, co-directed by Murat Kirtay (https://www.crossvalidate.me) and Giacomo Spigler ( http://spigler.net/giacomo), with a focus on recent advances in AI for robotics to endow robots with advanced cognitive capabilities and state-of-the-art performance. AIR-Lab members have access to a wide range of state-of-the-art robot platforms, including a Franka Robot Arm, Humanoid Robots (Pepper and Nao), Unitree Robot dogs, and in-house built robots. The position is for a 4-years PhD, adhering to Dutch academic salary scales (full-time monthly gross salary ranging from ?2,541 in the first year to ?3,247 in the last year). Additional benefits include an 8% vacation allowance and an 8.3% year end bonus. Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (30% rule), for which the University will apply on their behalf. Interested candidates should visit https://tiu.nu/21598 for more information and to apply for the position. Please include a motivation letter, full CV, academic transcripts, and names of two academic references. Questions can be directed to Dr. Spigler ( g.spigler tilburguniversity.edu ). Applications will be evaluated in batches on a rolling basis, with the first deadline set for June 16th. The position will remain open until filled. Kind regards, Giacomo Spigler and Murat Kirtay -------------------------------------------------------------------- Dr. Giacomo Spigler AI for Robotics Lab (AIR Lab) - Department of Cognitive Science and Artificial Intelligence Dante building, room B124 Tilburg University Tilburg, The Netherlands http://www.spigler.net/giacomo ------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From maxime.amblard at univ-lorraine.fr Mon May 22 10:35:35 2023 From: maxime.amblard at univ-lorraine.fr (Maxime Amblard) Date: Mon, 22 May 2023 16:35:35 +0200 Subject: Connectionists: Early Registration Extension 28th May - IWCS 2023 Message-ID: > **apologies for cross-postings** ===== Call for Participation - IWCS 2023 ===== Early Registration Extension: -> 28th May 2023 https://iwcs2023.loria.fr/registration/ ============================================ 15th International Conference on Computational Semantics (IWCS) Universit?? de Lorraine, Nancy, France 20-23th June 2023 http://iwcs2023.loria.fr/ IWCS is the biennial meeting of SIGSEM [1], the ACL special interest group on semantics [2]; this year's edition is organized in person by the Loria [3] and IDMC [4] of the Universit?? de Lorraine. [1] http://sigsem.org/ [2] http://aclweb.org/ [3] https://www.loria.fr/fr/ [4] http://idmc.univ-lorraine.fr/ The aim of the IWCS conference is to bring together researchers interested in any aspects of the computation, annotation, extraction, representation and neuralisation of meaning in natural language, whether this is from a lexical or structural semantic perspective. IWCS embraces both symbolic and machine learning approaches to computational semantics, and everything in between. The conference and workshops will take place 20-23 June 2023. === TOPICS OF INTEREST === We invite paper submissions in all areas of computational semantics, in other words all computational aspects of meaning of natural language within written, spoken, signed, or multi-modal communication. Presentations will be oral and posters. Submissions are invited on these closely related areas, including the following: * design of meaning representations * syntax-semantics interface * representing and resolving semantic ambiguity * shallow and deep semantic processing and reasoning * hybrid symbolic and statistical approaches to semantics * distributional semantics * alternative approaches to compositional semantics * inference methods for computational semantics * recognising textual entailment * learning by reading * methodologies and practices for semantic annotation * machine learning of semantic structures * probabilistic computational semantics * neural semantic parsing * computational aspects of lexical semantics * semantics and ontologies * semantic web and natural language processing * semantic aspects of language generation * generating from meaning representations * semantic relations in discourse and dialogue * semantics and pragmatics of dialogue acts * multimodal and grounded approaches to computing meaning * semantics-pragmatics interface * applications of computational semantics === SUBMISSION INFORMATION === Two types of submission are solicited: long papers and short papers. Both types should be submitted not later than 3 March (anywhere on earth). Long papers should describe original research and must not exceed 8 pages (not counting acknowledgements and references). Short papers (typically system or project descriptions, or ongoing research) must not exceed 4 pages (not counting acknowledgements and references). Both types will be published in the conference proceedings and in the ACL Anthology. Accepted papers get an extra page in the camera-ready version. Style-files: IWCS papers should be formatted following the common two-column structure as used by ACL. Please use our specific style-files or the Overleaf template, taken from ACL 2021. Similar to ACL 2021, initial submissions should be fully anonymous to ensure double-blind reviewing. Submitting: Papers should be submitted in PDF format via Softconf: https://softconf.com/iwcs2023/papers Please make sure that you select the right track when submitting your paper. Contact the organisers if you have problems using Softconf. No anonymity period IWCS 2023 does not have an anonymity period. However, we ask you to be reasonable and not publicly advertise your preprint during (or right before) review. === IMPORTANT DATES === 22 March 2023 (anywhere on earth) Paper submissions 17 April 2023 Decisions sent to authors 20-23 June 2023 IWCS conference === CONTACT === For questions, contact: iwcs2023-contact at univ-lorraine.fr Maxime Amblard, Ellen Breithloltz (the IWCS 2023 organizers) From marcella.cornia at unimore.it Mon May 22 10:54:33 2023 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Mon, 22 May 2023 16:54:33 +0200 Subject: Connectionists: [CFP] AGAVE2023 : Workshop on Advances in Gaze Analysis, Visual attention and Eye-gaze modelling (in conjunction with ICIAP 2023) Message-ID: *AGAVE 2023 - Call for Papers* ---------------------------------------------------------------------------------- 1st International Workshop on Advances in Gaze Analysis, Visual attention and Eye-gaze modelling (AGAVE) https://sites.google.com/view/agave2023 ---------------------------------------------------------------------------------- In conjunction with the 22nd International Conference on Image Analysis and Processing (ICIAP 2023) 11-15 September 2023, Udine (Italy) ---------------------------------------------------------------------------------- Visual attention refers to the human ability to focus on the most relevant parts of a visual scene (e.g. images or videos). Over the past decades, it has been extensively studied, leading to the proposal of numerous computational models aimed at predicting attention allocation on visual stimuli. While these models were initially developed in the field of psychology and neuroscience, the computer vision and pattern recognition community has become increasingly interested in this problem. This interest has been driven by the growing number of potential applications such as image/video compression, autonomous driving, and robotics. *TOPICS* The workshop will investigate a range of topics covering (but not limited to) the following: - Computational models of visual attention - Scanpath prediction models on images or videos - Active vision and its applications - (Deep) visual saliency models and their applications - Eye-tracking technology and its applications - Human visual perception and its implications for computer vision - Benchmarking and evaluation of visual attention and gaze analysis models - Applications of visual attention and gaze analysis in image and video processing, robotics, and human-computer interaction - Eye-gaze models for biometrics, health, driving, virtual reality, education and social sciences. The workshop aims to bring together researchers and practitioners in the field of computer vision and image processing to exchange ideas and discuss recent advances in visual attention, gaze analysis and modelling, visual saliency, active vision, and deep saliency models. The workshop will provide a platform for researchers to present their work, share experiences, and discuss the challenges and opportunities in the field. *SUBMISSION & PUBLICATION* The paper must be prepared in accordance to the guidelines for authors of the ICIAP2023 main conference, provided by Springer that can be found at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines The maximum number of pages is 12 including references. Submissions will be selected through a peer review process. Each submission will be reviewed by at least two reviewers, considering originality, significance, clarity, soundness, relevance, and technical content. Authors may optionally submit additional material. Accepted papers will be published in the ICIAP 2023 Conference Proceedings, published by Springer in the Lecture Notes in Computer Science series (LNCS). The paper submission platform is https://cmt3.research.microsoft.com/AGAVE2023 *IMPORTANT DATES* - Paper submission: 08 July 2023 - Notification to the authors: 01 August 2023 - Camera ready paper submission: 20 August 2023 *WORKSHOP ORGANIZERS* - Vittorio Cuculo, University of Modena and Reggio Emilia, Italy - Alessandro D?Amelio, University of Milan, Italy - Marcella Cornia, University of Modena and Reggio Emilia, Italy - Dario Zanca, University of Erlangen-Nuremberg, Germany -- *Marcella Cornia*, PhD Tenure-Track Assistant Professor (RTD-B) Dipartimento di Educazione e Scienze Umane Universit? degli Studi di Modena e Reggio Emilia e-mail: marcella.cornia at unimore.it phone: +39 059 2058790 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Mon May 22 21:56:20 2023 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 23 May 2023 01:56:20 +0000 Subject: Connectionists: Deadline approaching ... SBP-BRiMS'2023: Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2023 2023 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 20-22, 2023 Will be held in hybrid mode (In-person in Pittsburgh, PA, USA) http://sbp-brims.org/ #sbpbrims The goal of this conference is to build a community of social cyber scholars by fostering interaction among members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior in our quickly evolving social world of today. The conference values diverse disciplinary participation from the social, behavioral, physical, and computational sciences and welcomes a broad range of methodological approaches (agent-based models, online experiments, network science and social network analysis, and machine learning). All computational social science papers and panels are welcome. Some illustrative topics include: ??Social Cyber Security ??Trust in AI; Human-AI Interaction ??Blockchain and Decentralized Web ??Decentralization of Social Media ??Social Media Analytics and Network Science ??Online Collective Action, Social Movements, and Mob Dynamics ??Military in the Age of AI ??Organizations and Big Data ??Disinformation, Deepfakes, and Online Harms ??Applications (Healthcare, Economics, Government, Military, etc.) All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. See also special Call for Panels at SBP-BRiMS'23 website: http://sbp-brims.org/2023/Call%20For%20Panels/ IMPORTANT DATES: Full Paper Submission: 5-Jun-2023 (Midnight EST) Author Notification: 3-Jul-2023 Final Files Due : 17-Jul-2023 Panel proposals due: 10-Jul-2023 Panel Notification: 17-Jul-2023 Challenge Response due: 10-Jul-2023 Challenge Notification: 17-Jul-2023 Final Files due: 1-Aug-2023 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference will have a computational challenge as in previous years. Additional details are available at the conference Challenge website: http://sbp-brims.org/2023/challenge/. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Mon May 22 23:20:21 2023 From: pubconference at gmail.com (Pub Conference) Date: Mon, 22 May 2023 23:20:21 -0400 Subject: Connectionists: [CFP] 13th International Conference on Information Science and Technology (ICIST 2023), December 8-14, 2023, Cairo, Egypt Message-ID: *Call for Papers* *https://conference.cs.cityu.edu.hk/icist * Sponsor: British University in Egypt Co-Sponsors: City University of Hong Kong and Chongqing Three Gorges University Technical co-sponsor: IEEE Systems, Man and Cybernetics Society The 13th International Conference on Information Science and Technology ( ICIST 2023) will be held in Cairo, Egypt during December 8-14, 2023. As a cradle of civilization, the conference site features long historical and rich cultural heritages. Following the successes of previous events, ICIST 2023 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature preconference, tutorials, plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics and pre-conference tutorials/workshops to warm up the main event. *Call for Papers and Special Sessions* Prospective authors are invited to contribute high-quality papers to ICIST 2023. In addition, proposals for special sessions within the technical scope of the conference are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers on special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICIST 2023. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. *Topic Areas* Topics of contributing papers include, but are not limited to, the following areas: *Computer Science and Engineering* Computer networks, computer vision, pattern recognition, virtual, reality, parallel and distributed computing, high-performance computing, artificial intelligence, computer graphics, big data, cloud computing, database management systems, mobile agent computing, quality of services and communication protocol, mobile computing for e-commerce, cryptography and information security, scientific and engineering computing, hybrid computational methods, data visualization and virtual reality, web- and grid-based computing and simulation, possibility theory, Bayes network and hidden Markov models, computational intelligence, granular computing *Control and Automation* Autonomous systems, linear and nonlinear control, robust control, learning and adaptive control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, process control, robot control, mechatronic systems, vehicle control systems, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, microprocessor-based control, motor control, power control, vehicle control, aerospace control applications. *Signal Processing and Telecommunications* Adaptive filtering & signal processing, audio/speech processing and coding, compressive sensing and sparse representation, higher-order spectral analysis, nonlinear & blind signal processing, neural signal processing, component analysis, array signal processing, parallel and distributed processing, time series analysis, multimedia signal processing, design and implementation of signal processing systems, DSP Implementations and embedded systems, image and multidimensional signal processing, image processing & understanding, multimedia communications, next-generation wireless/wireline communications, communication signal processing, modulation and channel coding, network coding, sensor networks *Bioinformatics and Biomedical Engineering* Microarray data analysis, gene regulation, network, and pathway analysis, identification and classification of genes, protein structure prediction, next-generation sequencing and metagenomics, protein, DNA/RNA structure, function, and interactions, functional genomics and proteomics, molecular evolution and phylogeny, neuroinformatic, brain-computer interface, clinical engineering, rehabilitation engineering, neural engineering, biomedical signal analysis and modeling, bio-imaging, sensing, and data fusion, biomarker discovery, health informatics, healthcare data acquisition, analysis, and modeling, biomedical data knowledge extraction, biomedical data integration, modeling, and preprocessing, biological data mining, knowledge sharing, visualization, and knowledge utilization, biomedical data mining systems and computing platforms, electronic health record acquisition, analysis, and decision support, high performance computing for biomedical data analysis, smart clinical diagnosis and decision systems *Paper Submission* Authors are invited to submit full-length papers (the nominal number of pages is 10) by the submission deadline through the online submission system. Special session organizers are also invited to enlist six or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take into consideration of the referees' comments and suggestions. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. Selected high-quality papers will be included in several journal special issues. *Important Dates* Special session proposals deadline????????????????????????????.July 1, 2023 Paper submission deadline?????????????????????????...????......... August 1, 2023 Notification of acceptance?????????.???????????????...??????..September 1, 2023 Camera-ready copy and author registration??????????????????..??????..?October 1, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICIST2023CFP.pdf Type: application/pdf Size: 365752 bytes Desc: not available URL: From loizos at ouc.ac.cy Mon May 22 16:41:25 2023 From: loizos at ouc.ac.cy (Loizos Michael) Date: Mon, 22 May 2023 20:41:25 +0000 Subject: Connectionists: Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) In-Reply-To: References: Message-ID: Apologies for the follow-up email. The URL redirection seems to be malfunctioning. The direct URL is: M.Sc. Program in Cognitive Systems: https://www.ouc.ac.cy/index.php/en/studies/master/cos Regards, Loizos ________________________________ From: Loizos Michael Sent: Monday, May 22, 2023 10:42 PM To: ml-news at googlegroups.com ; connectionists at cs.cmu.edu ; agents at cs.umbc.edu ; Argumentation Theory List ; planetkr at kr.org ; Neural-Symbolic Learning and Reasoning ; aic-artificial-intelligence-and-cognition at googlegroups.com ; corpora at list.elra.info Subject: Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) The recent thrust towards explainable and trustworthy AI has provided renewed impetus to the design and development of AI technologies that explicitly acknowledge, and adapt to, the cognitive abilities and limitations of humans. To teach the emerging paradigm of cognitively-inspired AI, the interdisciplinary M.Sc. Program in Cognitive Systems combines courses from neural/connectionist and symbolic Artificial Intelligence, Machine Learning, and Cognitive Psychology, to explore the fundamentals of perception, attention, learning, mental representation, and reasoning, in humans and machines. The M.Sc. Program is offered jointly by two public universities in Cyprus (the Open University of Cyprus and the University of Cyprus) and has been accredited by the national Quality Assurance Agency. The program is directed by academics from the participating universities, and courses are offered in English via distance learning by an international team of instructors. Applications for the academic year 2023-2024 are accepted until May 30th, 2023: https://admissions.ouc.ac.cy/ More information (and contact details) about the M.Sc. Program in Cognitive Systems: https://cogsys.ouc.ac.cy/ Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From loizos at ouc.ac.cy Mon May 22 15:42:39 2023 From: loizos at ouc.ac.cy (Loizos Michael) Date: Mon, 22 May 2023 19:42:39 +0000 Subject: Connectionists: Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) Message-ID: Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) The recent thrust towards explainable and trustworthy AI has provided renewed impetus to the design and development of AI technologies that explicitly acknowledge, and adapt to, the cognitive abilities and limitations of humans. To teach the emerging paradigm of cognitively-inspired AI, the interdisciplinary M.Sc. Program in Cognitive Systems combines courses from neural/connectionist and symbolic Artificial Intelligence, Machine Learning, and Cognitive Psychology, to explore the fundamentals of perception, attention, learning, mental representation, and reasoning, in humans and machines. The M.Sc. Program is offered jointly by two public universities in Cyprus (the Open University of Cyprus and the University of Cyprus) and has been accredited by the national Quality Assurance Agency. The program is directed by academics from the participating universities, and courses are offered in English via distance learning by an international team of instructors. Applications for the academic year 2023-2024 are accepted until May 30th, 2023: https://admissions.ouc.ac.cy/ More information (and contact details) about the M.Sc. Program in Cognitive Systems: https://cogsys.ouc.ac.cy/ Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From liufengchaos at gmail.com Mon May 22 09:42:27 2023 From: liufengchaos at gmail.com (Feng Liu) Date: Mon, 22 May 2023 09:42:27 -0400 Subject: Connectionists: CfP: The 16th International Conference on Brain Informatics (BI'23) Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York ? USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 24 May 2023: Full Paper Submission Deadline - 01 Jun 2023: Abstract Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: ?Sketches of thought? and ?Reason and Less: Pursuing Food, Sex, and Politics? York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20publications.html 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Overlength pages will be charged 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series (https://link.springer.com/conference/ brain). Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20publications.html Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hugo.o.sousa at inesctec.pt Mon May 22 11:12:16 2023 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Mon, 22 May 2023 15:12:16 +0000 Subject: Connectionists: =?windows-1252?q?IACT=9223=40SIGIR=3A_Human_or_AI?= =?windows-1252?q?=3F_Last_CFP?= Message-ID: <7f5d9b7a12154c9b81eaeff664f4bd15@inesctec.pt> *** Apologies for cross-posting *** ++ CFP: LAST CHANCE TO SUBMIT ++ ============================================================================================================================= The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT?23) The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Workshop website: https://en.sce.ac.il/news/iact23 Date: July 27, 2023 Location: Taipei, Taiwan. Paper submission deadline: Extended to May 23, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23 To bring the research community's attention to the limitations of current models in recognizing and characterizing AI vs. human authors, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster scientific advances in all aspects of author characterization. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - Full research papers: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the workshop topics. - Short research papers: up to 5 pages. It can describe ongoing research, resources, and demos. - Negative results papers: up to 5 pages. Highlighting tested hypotheses that did not get the expected outcome is also welcomed. - Position papers: up to 5 pages. Discussing current and future research directions. The length constraints do not include references. The submissions must be anonymous and will be peer-reviewed by at least two program committee members. Workshop Format: The authors of accepted papers will be given 15 minutes for a short oral presentation. The workshop will run as a hybrid event to allow virtual attendance and meet the SIGIR format. Workshop Topics: Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following: - Differentiation between AI-generated content and human-generated content and bot profiling - Characterization of conversational agents - Feature detection of authors for human vs. AI determination - Prompt understanding and recognition in language models - Personalized question-answering and conversation generation - Troll identification on social media - Review authenticity estimation - Multi-modal, multi-genre, and multilingual author analysis - Character analysis, description, and representation in narrative texts - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author characterization annotation schema - Evaluation of implicit author characterization - Author characterization in low-resource languages and under-studied domains - Accountability and regulation of AI-based information extraction, retrieval, and content generation - Copyright issues of AI-generated content - Ethical and privacy implications of author characterization and implicit information extraction - Fairness and bias of AI-generated content Organizing Committee: Marina Litvak - marinal at ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Irina Rabaev - irinar at ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Al?pio M?rio Jorge - amjorge at fc.up.pt; University of Porto; Porto, Portugal Ricardo Campos - ricardo.campos at ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal Adam Jatowt - adam.jatowt at uibk.ac.at; University of Innsbruck; Innsbruck, Austria Invited Speakers: Prof. Mark Last - Ben-Gurion University of the Negev, Israel Prof. Dr. Valia Kordoni - Humboldt-Universit?t Berlin, Germany Contacts: Dr. Marina Litvak: litvak.marina at gmail.com Dr. Irina Rabaev: irinar at ac.sce.ac.il All the best, Hugo Sousa on behalf of the IATC'23 Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue May 23 03:15:56 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 23 May 2023 10:15:56 +0300 Subject: Connectionists: Invitation to join the 2023 Summer School on Deep Learning and Computer Vision, 28th August - 1st September 2023, Aristotle University of Thessaloniki, Thessaloniki, Greece Message-ID: <815b01d98d46$6badf510$4309df30$@csd.auth.gr> Dear Deep Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2023 Summer School on Deep Learning and Computer Vision: https://icarus.csd.auth.gr/aiia-cvml-summer-school-on-deep-learning-and-comp uter-vision-2023/ It will take place on the 28th August - 1st September 2023 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer school consists of two short courses: a) 'Short Course on Deep Learning and Computer Vision 2023', 28th - 29th August 2023: https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-visi on-2023/ with various Computer Vision and Deep Learning applications, e.g., for big visual data analysis, autonomous vehicles (drones, cars and marine vessels), digital media analysis, intelligent human-machine interaction, anthropocentric (human-centered) computing, industrial surveillance, smart cities/buildings and assisted living, natural disaster management and b) 'Programming short course and workshop on Deep Learning and Computer Vision 2023', 30th August - 1st September 2023: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-2023/ with applications in autonomous systems vision/perception and visual data/social media analysis for natural disaster management. You can follow the above-mentioned links to register to either one or both courses. For questions, please contact: Ioanna Koroni < koroniioanna at csd.auth.gr> The first course consists of 16 lectures providing an in-depth presentation of many computer vision and deep learning problems algorithms, as applied e.g., in big visual data analysis, autonomous vehicle vision, digital media analysis and human centered computing. The second programming short course and workshop offers a mix of lectures and programming workshops (hands-on lab exercises). It aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on digital/social media analysis for Autonomous Systems and also on Natural Disaster Management. For both courses, the acquired skills can be used in a multitude of other applications that involve vision and/or natural language processing tasks. Both short courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is chair of the International AI Doctoral Academy (AIDA), AUTH prime investigation for H2020 projects AerialCore and AI4Media, and Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Chair of the IEEE SPS Autonomous Systems Initiative and Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 319th in Computer Science and Electronics Scientists internationally by research.com (2022). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Thessaloniki is a very pleasant and popular summer destination in Greece. Relevant links: * European Horizon2020 R&D projects AI4Media: https://ai4media.eu/, TEMA: https://tema-project.eu/ , SIMAR: https://simar-project.eu/ , Aerial-Core: https://aerial-core.eu/, AI4Europe: https://www.ai4europe.eu/, Multidrone: https://multidrone.eu/, * AIIA Lab: http://www.aiia.csd.auth.gr/ * International AI Doctoral Academy (AIDA) https://www.i-aida.org/ * Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el Course descriptions a) 'Short Course on Deep Learning and Computer Vision 2023', 28th- 29th August 2023. https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-visi on-2023/ Part A (8 hours), Deep Neural Networks topic list 1. Multilayer perceptron. Backpropagation 2. Deep neural networks. Convolutional NNs 3. Recurrent Neural Networks 4. Attention and Transformers 5. Deep Reinforcement Learning models 6. Generative Adversarial Networks 7. Diffusion Models Part B (8 hours) 2D and 3D Computer Vision topic list 1. Camera geometry 2. Stereo and Multiview imaging 3. Structure from motion 4. Object detection and tracking 5. Region segmentation and pose estimation 6. Human action recognition b) 'Programming short course and workshop on Deep Learning and Computer Vision 2023', 30th August - 1st September 2023. https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-2023/ Part A (8 hours) Deep Learning for Autonomous Systems * Deep neural networks - Convolutional NNs * Knowledge Distillation in Deep Neural Networks * Programming workshop on Deep neural networks - Convolutional NNs * Programming workshop on Knowledge Distillation in Deep Neural Networks Part B (8 hours) Autonomous Systems Perception * Real Time Object Detection * 2D Object Tracking in Embedded Systems * Programming workshop on Real Time Object Detection * Programming workshop on 2D Object Tracking in Embedded Systems Part C (8 hours) Big Data Analytics and Autonomous Systems in Natural Disaster Management * Real-Time Image Segmentation * Natural Language Processing for Natural Disaster Management * Programming workshop on Real-Time Image Segmentation * Programming workshop on Natural Language Processing for Natural Disaster Management Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information Analysis Lab (AIIA Lab), AUTH Chair of the International AI Doctoral Academy (AIDA) Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From dftschool at ini.rub.de Tue May 23 05:52:13 2023 From: dftschool at ini.rub.de (DFT Summer School) Date: Tue, 23 May 2023 11:52:13 +0200 Subject: Connectionists: DEADLINE EXTENDED: Neural Dynamics for Embodied Cognition Summer School 2023 Bochum, Germany Message-ID: <065cb65c-38b0-a64f-6336-7d5da3e5f224@ini.rub.de> DEADLINE EXTENDED to June 5, 2023. Still a few places left! - - - Please forward this advertisement to whoever you think might be interested. Selection of participants will begin by June 5, 2023. Thanks, Raul Grieben, Minseok Kang and Stephan Sehring - - - DFT Summer School 2023 Bochum, Germany This year our summer school "Neural Dynamics for Embodied Cognition" will take place from the 21st to the 26th of August, 2023 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. The school combines tutorial lectures with hands-on project work. Participants will develop their own modeling project, which may connect to their ongoing doctoral or postdoctoral research. To apply for the summer school, please visit our webpage: https://dynamicfieldtheory.org/events/neuronal_dynamics_for_embodied_cognition_2023/ From chz8 at aber.ac.uk Tue May 23 12:07:11 2023 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Tue, 23 May 2023 16:07:11 +0000 Subject: Connectionists: SPECIES Scholarships 2023: First Call for Candidates Message-ID: Candidate applications for the 2023 SPECIES scholarships are now open. The application deadline is 30/06/2023 (AoE). The scholarships are aimed at current research students and recent PhD graduates. They involve an in-person internship of three months in one of the listed host institutions (see link below), working under the supervision of an advisor. The recipients of the scholarships will receive an allowance of 900 euros per month as contribution towards accommodation and living expenses during the research visit. More information on conditions of the scholarships and on how to apply: https://species-society.org/scholarships-2023/ This year we have a record number of 31 potential host institutions across 16 countries, offering more than 60 different projects. More details can be found here: https://species-society.org/scholarship-hosts-2023/ Email: students at species-society.org ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. From joseph.lizier at sydney.edu.au Tue May 23 06:42:09 2023 From: joseph.lizier at sydney.edu.au (Joseph Lizier) Date: Tue, 23 May 2023 10:42:09 +0000 Subject: Connectionists: Information theory workshop at CNS*2023 -- call for contributed talks Message-ID: <3ff0d916-5d57-1c8a-e024-62d8893fcb70@sydney.edu.au> Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at the 32nd Annual Computational Neuroscience Meeting (CNS*2023 conference), in Leipzig, Germany. The workshop will be held during sessions over the final two days of the main conference, July 18 and 19, 2023. Our confirmed speakers so far include the following: * J?rgen Jost, Max Planck Institute for Mathematics in the Sciences, Leipzig * Sarah Marzen, Claremont Colleges, USA * Demian Battaglia, University of Strasbourg * Marilyn Gatica, University of Nottingham * Pedro Mediano, Imperial College London * Nadine Spychala, Univeristy of Sussex * Andreas C. Schneider, Max Planck Institute for Dynamics and Self-Organization, G?ttingen * ... more TBA! We would like to call for further contributions of talks. If you are interested in contributing a talk, please send a title and abstract to Abdullah Makkeh (abdullah.alimakkeh at uni-goettingen.de). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2023 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2023itw for more details. We hope you will join us there! Organising Committee: Abdullah Makkeh (co-chair) Michael Wibral (co-chair) Joseph Lizier Pedro Mediano -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Tue May 23 19:18:37 2023 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Tue, 23 May 2023 19:18:37 -0400 Subject: Connectionists: Vote for the Best Illusion of the Year! The 2023 Best Illusion of the Year Contest In-Reply-To: <03d801d98dcb$ee2a3000$ca7e9000$@neuralcorrelate.com> References: <036b01d98dc9$9e215db0$da641910$@neuralcorrelate.com> <039601d98dcb$82664c00$8732e400$@neuralcorrelate.com> <03d801d98dcb$ee2a3000$ca7e9000$@neuralcorrelate.com> Message-ID: <043101d98dcc$e7a97eb0$b6fc7c10$@neuralcorrelate.com> Dear Colleagues, Worldwide voting for the 18th Best Illusion of the Year Contest starts at 3pm EST on Wednesday, May 24th, and will remain open until 3pm EST on Saturday, May 27th, 2023! The 1st place winner will receive $3,000, the 2nd place winner $2,000, and the 3rd place winner $1,000 USD. The Best Illusion of the Year Contest is now an annual virtual event, in which anybody with an internet connection (that means YOU!) can vote to pick the Top 3 Winners from the Top 10 Finalists. The Top 10 Finalists, selected from dozens of entries from countries all around the world, will be publicly revealed at voting time. The Neural Correlate Society thanks the Museum of Illusions , Platinum Sponsor of the 2023 Best Illusion of the Year Contest, for its generous support. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse --------------------------------------- Susana Martinez-Conde, PhD Professor of Ophthalmology, Physiology, & Physiology/Pharmacology Empire Innovator Scholar State University of New York SUNY Downstate Health Sciences University 450 Clarkson Ave Brooklyn, NY 11203 Office: 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From kartik.chari at dfki.de Wed May 24 03:35:51 2023 From: kartik.chari at dfki.de (Kartik Chari) Date: Wed, 24 May 2023 07:35:51 +0000 Subject: Connectionists: Call for Participation: IntEr-HRI Competition Message-ID: Dear fellow researchers, our team is organizing a BCI competition at the IJCAI 2023 conference and we would like to draw your attention to the following call for participation: -------- CALL FOR PARTICIPATION!!!!! Challenge/Competition -> IntEr-HRI: Intrinsic Error Evaluation during Human-Robot Interaction IntEr-HRI Challenge (https://ijcai-23.org/competitions/) is a competition in IJCAI?23. It is being organized by the Robotics Innovation Centre at the German Research Centre for Artificial Intelligence (DFKI) and the Department of Medical Technology Systems at the University of Duisburg-Essen. The goal of the competition is to develop competitive Signal Processing and Machine Learning approaches for the asynchronous detection of erroneous behaviors based on single-trial EEG analysis. Experimental Setup: The experimental setup consisted of 4 main parts ? a 64-channel EEG system, an eight-channel EMG system, an active orthosis device fitted on the right arm, and an air-filled ball held in the left hand of the subject. The active orthosis provided support at the elbow joint to perform flexion-extension movements. During the experiment, the subjects performed 30 movement trials (15 flexions and 15 extensions). In each trial, the subjects indicated their intention to start the movement by applying an initial force after which the active orthosis device took over the control of the movement. Additionally, out of the 30 trials, 6 were randomly selected during each of which an error was deliberately introduced. This error lasted for a short duration of 250 ms and was characterized by a momentary change in the direction of movement. As soon as the subjects felt the errors, they were instructed to squeeze the ball in their left hand. Competition: The competition is divided into 2 stages ? Offline stage and online stage. Offline Stage: In the offline stage, pre-recorded EEG dataset is provided. This dataset is divided into labeled training data and unlabeled test data. The task for this stage is to train the machine learning model to detect the deliberately introduced errors and perform a 10-fold cross-validation on the labeled training data. Furthermore, it is expected to test this model on the provided unlabeled test data and detect the exact time points where the errors were introduced. Online Stage: The top 10 teams with the best results in the offline stage will be selected for the online stage of the competition wherein the teams would get an opportunity to test their approaches on our experimental setup in real-time. Detailed information about our experimental setup, methods used, and dataset description can be found in our arXiv paper (https://doi.org/10.48550/arXiv.2305.11996). Please follow our competition webpage (https://ijcai-23.dfki-bremen.de/competitions/inter-hri/) for a complete overview of the competition rules, evaluation metrics, registration deadlines, and submission deadlines. Important Links: Competition Webpage: https://ijcai-23.dfki-bremen.de/competitions/inter-hri/ arXiv paper: https://doi.org/10.48550/arXiv.2305.11996 Dataset (Zenodo): https://doi.org/10.5281/zenodo.7951044 -- Best Regards, Kartik Seshadri Chari Researcher: M-Rock DFKI GmbH Robotics Innovation Center Robert-Hooke-Stra?e 1 28359 Bremen, Germany Telefon: +49 421 178 45 7400 Zentrale: +49 421 178 45-0 Fax : +49 421 178 45-4150 (Please mark faxes by name) Email : kartik.chari at dfki.de Weitere Informationen: http://www.dfki.de/robotik -------------------------------------------------- ----------- Deutsches Forschungszentrum f?r K?nstliche Intelligenz GmbH Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany Gesch?ftsf?hrung: Prof. Dr. Antonio Kr?ger Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Gabri?l Clemens Amtsgericht Kaiserslautern, HRB 2313 ------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From david.kappel at ini.rub.de Wed May 24 04:29:28 2023 From: david.kappel at ini.rub.de (David Kappel) Date: Wed, 24 May 2023 10:29:28 +0200 Subject: Connectionists: Open PhD position in scalable, efficient machine learning Message-ID: We are looking for excellent and highly motivated PhD students to join the /Sustainable Machine Learning/ group in the Department of Computer Science, Ruhr University Bochum. As a PhD student, you will work on developing state-of-the-art machine learning models that can scale while being energy-efficient. These models will be based on core design principles of sparsity and asynchrony and take inspiration from biology/neuroscience. The work will be done in collaboration with academic and industry groups that develop biology-inspired low-energy neuromorphic hardware. The appointment will be for three years, starting as soon as possible. Salary is 75% of German salary scale TV-L E13. *We offer:* - An attractive interdisciplinary environment in Machine Learning / Artificial Intelligence. - Room to develop your own ideas in the project. - Opportunity to collaborate with international university partners and industry. - Infrastructure to integrate well into the institute and the group. - Opportunity to do a PhD (Dr). *Candidates for this post should possess the following:* - A very good Masters's degree in mathematics, computer science, engineering, or a related field. - Excellent programming skills (Python preferably). - Good knowledge of applied mathematics and computer science. - Ability to learn quickly and work independently, as well as in a team. *Preferred qualifications include:* - Interest in interdisciplinary research questions and cooperation. - Hands-on/research experience with deep learning. - Experience with machine learning frameworks such as PyTorch/Tensorflow/JAX. - Good communication and teamwork skills. - Experience or willingness to collaborate with a wide variety of interdisciplinary partners. *How to apply:* Applications should be handed in via https://anandsubramoney.com/apply.html ?and should include the following: - CV with contact information for two references - transcript of records for MSc and BSc - a statement of purpose describing your research interests and why you think you are a good fit for this position - Application deadline: 11th of June, 2023 - Applications sent only by email will not be considered Address informal inquiries to david.kappel at ini.rub.de ?or anand.subramoney at ini.rub.de Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We, therefore, look forward to applications from qualified women. Applications from appropriately qualified disabled persons are also encouraged. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed May 24 06:13:39 2023 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 24 May 2023 11:13:39 +0100 Subject: Connectionists: CFP [Extended deadline - May 29]: Learning from Temporal Data (LearnTeD) - DSAA 2023 Message-ID: <7f545829-5856-d63a-0961-8e121c36156e@isep.ipp.pt> ---------------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- CALL FOR PAPERS Learning from Temporal Data (LearnTeD) special session of the 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2023) October 9-13, 2023, Thessaloniki, Greece Website link: https://dsaa2023.inesctec.pt/ ---------------------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------------------- Temporal information is all around us. Numerous important fields, including weather and climate, ecology, transport, urban computing, bioinformatics, medicine, and finance, routinely work with temporal data. Temporal data present a number of new challenges, including increased dimensionality, drifts, complex behavior in terms of long-term interdependence, and temporal sparsity, to mention a few. Hence, learning from temporal data requires specialized strategies that are different from those used for static data. Continuous cross-domain knowledge exchange is required since many of these difficulties cut over the lines separating various fields. This special session aims to integrate the research on learning from temporal data from various areas and to synthesize new concepts based on statistical analysis, time series analysis, graph analysis, signal processing, and machine learning. The scope of the special session includes but is not limited to the following: - Temporal data clustering - Classification and regression of univariate and multivariate time series - Early classification of temporal data - Deep learning for temporal data - Learning representation for temporal data - Metric and kernel learning for temporal data - Modeling temporal dependencies - Time series forecasting - Time series annotation, segmentation, and anomaly detection - Spatial-temporal statistical analysis - Functional data analysis methods - Data streams - Interpretable/explainable time-series analysis methods - Dimensionality reduction, sparsity, algorithmic complexity, and big data challenges - Benchmarking and assessment methods for temporal data - Applications, including transport, urban computing, weather and climate, ecology, bio-informatics, medical, and energy consumption on temporal data ---------------------------------------------------------------------------------------- Submission procedure ---------------------------------------------------------------------------------------- All papers should be submitted electronically via EasyChair (under the ?Special Session? Track): https://easychair.org/my/conference?conf=dsaa2023 The length of each paper submitted to the Research tracks should be no more than ten (10) pages and should be formatted following the standard 2-column U.S. letter style of the IEEE Conference template. For further information and instructions, see the IEEE Proceedings Author Guidelines. All submissions will be blind-reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors? anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2023. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to the DSAA?2023 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. All accepted full-length special session papers will be published by IEEE in the DSAA main conference proceedings under its Special Session scheme. All papers will be submitted for inclusion in the IEEEXplore Digital Library. High-quality accepted papers will be recommended to a Special Issue of the International Journal of Data Science and Analytics on "Learning from temporal data" through a fast-track process. ---------------------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------------------- Paper Submission Deadline: May 29, 2023 Paper Notification: July 17, 2023 Camera-ready Submission: August 7, 2023 ---------------------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------------------- ---------------------- Track Chairs ---------------------- Albert Bifet, Waikato University, New Zealand Jo?o Mendes Moreira, University of Porto & LIAAD-INESC TEC, Portugal Joydeep Chandra, Indian Institute of Technology Patna, India ---------------------- Program Committee ---------------------- Animesh Chaturvedi, IIIT Dharwad, India Balaraman Ravindran, IIT Madras, India Bivas Mitra, IIT Kharagpur, India Carlos Abreu Ferreira, INESC TEC, Portugal Debraj Das, IIT Bombay, India Heitor Murilo Gomes, Victoria University of Wellington, New Zealand Ingo Scholtes, University of W?rzburg, Germany Maria Eduarda Silva, Universidade do Porto, Portugal Mirco Nanni, ISTI-CNR, Italy Nuno Moniz, University of Notre Dame, USA Paulo Cortez, Universidade do Minho, Portugal Raquel Menezes, Universidade do Minho, Portugal Rita Ribeiro, Universidade do Porto, Portugal Sourangshu Bhattacharya, IIT Kharagpur, India Srijith P.K., IIT Hyderabad, India Vitor Cerqueira, Dalhousie University, Canada ---------------------- Publicity Chairs ---------------------- Carlos Abreu Ferreira, Instituto Polit?cnico do Porto, Portugal Shruti Saxena, Indian Institute of Technology Patna, India ---------------------- Contacts ---------------------- Organizing Committee Contact Person: jmoreira at fe.up.pt ---------------------- Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From maria.m.hedblom at gmail.com Wed May 24 08:42:15 2023 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Wed, 24 May 2023 14:42:15 +0200 Subject: Connectionists: deadline extension: The 7th Image Schema Day (ISD7) @KR 2023, 2-4 September, Rhodes, Greece, Message-ID: *Apologies for any potential cross-posting!* Call for papers and abstracts! The Seventh Image Schema Day ISD7 at KR2023 September 2-4 Rhodos, Greece https://imageschema.net/image-schema-day -- Due to the busy times before the start of the summer, we have chosen to extend the submission deadline for both full papers and abstracts until the *12th of June*. We kindly ask that you register the title and abstract in Easychair by the original deadline of June 2nd, so we can prepare for the reviewing processes. -- *Submission link:* https://easychair.org/conferences/?conf=isd7 Last year the sixth edition of the workshop was a great success and we are excited for this seventh edition which is joining the workshop program at The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023) in Rhodes, Greece. As in previous years, ISD7 is a networking event that invites researchers on image schemas, conceptual primitives and spatiotemporal reasoning from a broad range of scientific disciplines to present their research and discuss ideas for future projects. Unlike many other workshops focused on different topics in one discipline or using one methodology, the Image Schema Day invites researchers from all disciplines and methodologies but focuses on one main topic. The workshop offers a friendly environment for researchers of all stages who are interested in presenting and discussing work on the formal and analytical treatment of conceptual patterns, embodied cognition and the interdisciplinary exploration of human thought! The workshop accepts three kinds of submissions: - Abstracts for presentation (2 pages) (NOTE: these are not included in the proceedings.) - Extended abstracts (5 pages) of work in progress or summaries of recently published articles. - Research papers (5-10 pages) discussing novel research not published (or under review) at another venue. Topics of interest with (the broadest of interpretation of) an image-schematic focus include: - analysis of conceptual metaphors - formalisation of affordances and force dynamics - spatiotemporal reasoning - commonsense reasoning - conceptual modelling - use cases of embodied cognition - formal approaches to analogical reasoning - formal concept analysis - applications in cognitive robotics - image-schematic interface design - art and literature analysis All submissions will be peer-reviewed and accepted contributions will be included in the ISD7 proceedings and presented at the workshop! Formatting and submission instructions can be found on the event website. Important dates: - Title registration deadline: June 2nd (soft deadline) - Submission deadline: June 12th (hard deadline) - Notification of acceptance: July 1st - Workshop dates: September 2-4 Please share this invitation with colleagues and students that might be interested in the workshop and consider joining us in September! Looking forward to seeing you (again) at ISD7! The ISD7 organisers, Maria M. Hedblom and Oliver Kutz *...and yes, we are back with our psychedelic posters!Love it/hate it - we don't care - but spread it! :) * [image: ISD7atKR_POSTER.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISD7atKR_POSTER.png Type: image/png Size: 1541790 bytes Desc: not available URL: From eric.gaussier at gmail.com Wed May 24 10:01:12 2023 From: eric.gaussier at gmail.com (Eric Gaussier) Date: Wed, 24 May 2023 16:01:12 +0200 Subject: Connectionists: PhD offer on time series prediction Message-ID: University Grenoble Alpes and Savoye offer a PhD position on time time series prediction (see description below), starting ideally in September 2023. Interested candidates should send a complete CV to Emilie Devijver ( emilie.devijver at univ-grenoble-alpes.fr), Eric Gaussier ( eric.gaussier at imag.fr) and Aur?lien Leguy (aurelien.leguy at savoye.com). The successful candidate will work both at Savoye, in the Advanced Research and Innovation team, and Univ. Grenoble Alpes, in the Aptikal team. She/he will also be a member of the Grenoble Interdisciplinary Institute in Artificial Intelligence (https://miai.univ-grenoble-alpes.fr/). ******* *PhD description*: Savoye is a fast-growing mid-sized company with around 1,000 employees that offers hardware and software solutions to automatize warehouses and enhance logistics processes. One of our flagship solution pertains to high-density robotic storage systems that Savoye pioneered ( https://https://www.savoye.com/us/ressource/ x-pts-shuttles/ ). Savoye is expanding quickly, thanks in particular to its expansion into the American and Asian markets (revenue growth >20%/year). Our ambition is to become one of the main players in the intralogistics sector worldwide in the next few years. In 2022, Savoye introduced machine learning for the first time in one of its products as part of a workforce management feature. In order to continue the efforts undertaken in the field of time series prediction, we propose a CIFRE whose purpose is to explore and exploit state-of-the-art techniques. Several topics and strategic issues will support this research : - ? The prediction of flows and article demands, for example, is at the heart of our concerns to optimize inventory management by forecasting customers needs, - ? The estimation of the time required to carry out logistics operations (ETA, Estimated Time of Arrival) is a major challenge that can allow for a significant improvement in the management of the logistics activities in the warehouse (taking into account the effect of routing decisions on ETA), - ? Forecasting of failures and break-down of equipment is also a critical topic with a view to expanding our maintenance service offering. To address these issues, we will draw on recent developments in artificial intelligence on deep neural networks and causality. In particular, we want to explore transformer-based models ([5]) for flow and demand prediction and time estimation, and discovery and causal inference models for fault prediction ([1]). One of the major problems lies in the fact that these models have excellent performance on data close to those used for their training and often poor performance on data that differs from those used in training. We intend to solve this problem by using generic causal representations ([6]) because they are representative of the underlying physical phenomena. The causal graph and associated latent variables can be partly extracted from the available data from discovery and causal inference methods ([1]). This will improve the genericity of models and their transferability to different contexts. In addition, the available data are often partial, with missing values, and are based on different trends that are repeated at more or less regular intervals. We introduced the notion of pseudo-periods to designate the fact that repetitions are not entirely regular and proposed a mechanism capable of identifying them with recurrent neural networks as LSTMs ([2]). This thesis will also be an opportunity to explore, on the one hand, new methods for the identification of trends and pseudo-periods to improve predictions and, on the other hand, new methods to optimize the use of partial or missing data (e.g. data produced during lockdowns). It should be understood that these topics/themes are neither fixed nor exhaustive but constitute a basis for discussion and work. *Savoye Advanced Research and Innovation Service*: The PhD student will be part of the Advanced Research and Innovation team, which reports to the group?s top executives. Its scope is to explore the state of the art of research to identify and explore (by prototyping or carrying out proofs of concept) solutions that may ultimately significantly improve the company?s products or propose radically new solutions. She/he will work within a team specialized in AI in the broad sense (from operations research and mathematical optimization to different ML techniques) in direct collaboration with the AI/ML tech lead and will aim to extend the already in-depth research that has been conducted on the subject. Amazon?s research illustrates (but does not guide) our trajectory from a technological perspective ([4]). Experiments based on models focused on attention mechanisms (transformers) are at the heart of our current research activities. We are also interested in exploring innovative approaches like DeepMind for Google Maps ([3]). *University Grenoble Alpes*: The person recruited will be integrated into the APTIKAL team of the Grenoble Computer Science Laboratory and will be co-supervised by E?milie Devijver (CNRS researcher, mathematician) and E?ric Gaussier (professor of computer science at the University of Grenoble Alpes, Director of MIAI - Multidisciplinary Institute in Artificial Intelligence). The APTIKAL team is specialized in machine learning and knowledge acquisition and in particular on statistical learning and causality, with both broad applications and more targeted applications on natural language processing or information retrieval for example. ******* -- Eric Gaussier Grenoble University, LIG Laboratory -------------- next part -------------- An HTML attachment was scrubbed... URL: From XIQUAN_CUI at homedepot.com Wed May 24 16:57:38 2023 From: XIQUAN_CUI at homedepot.com (Cui, Xiquan) Date: Wed, 24 May 2023 20:57:38 +0000 Subject: Connectionists: CFP: 3rd workshop of Online and Adaptive Recommender Systems (OARS)at KDD 2023 In-Reply-To: References: Message-ID: KDD 2023 Workshop on Online and Adaptive Recommender Systems (OARS) Call For Papers ================== KDD OARS is a half day workshop taking place on August 7th, 2023 in conjunction with KDD 2023 in Long Beach, CA, USA. Workshop website: https://oars-workshop.github.io/ Important Dates: ================== - Submissions Due - June 9th, 2023 - Notification - June 23rd, 2023 - Camera Ready Version of Papers Due - July 10th, 2023 - KDD OARS Workshop - August 7th, 2023 Details: ================== The KDD workshop on online and adaptive recommender (OARS) will serve as a platform for publication and discussion of OARS. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to implement OARS algorithms and systems, and improve user experiences by better modeling and responding to users? intent. We invite submission of papers and posters of two to ten pages (including references), representing original research, preliminary research results, proposals for new work, and position and opinion papers. All submitted papers and posters will be single-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics of interest include, but are not limited to: ==================================== * Novel algorithms and paradigms (deep learning, reinforcement learning, online learning etc.) * Use cases (product, content, fashion/decor, job, healthy lifestyle, interactive/conversational recommendations, etc.) * User modeling and representations (real-time user intent/style/taste modeling, combine with long term interest, incorporation of knowledge graph) * Architecture and infrastructure (novel and scalable deep learning architectures, steaming and event-driven processing, etc.) * Evaluations and explanations (evaluation, comparison, explanation of OARS for a recommendation task, off-policy and counterfactual evaluation, etc.) * Social and user impact (UX, welfare, and objectives of OARS, privacy and ethics considerations, etc.) Submission Instructions: ================== All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submissions must be formatted according to the ACM Conference Proceeding templates (two column format). Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person. Submissions to KDD OARS workshop should be made at https://easychair.org/my/conference?conf=oarskdd2023 ORGANIZERS: ================== Xiquan Cui The Home Depot, USA Vachik Dave Walmart Labs, USA Yi Su UC Berkeley, USA Julian McAuley UCSD, USA Khalifeh Al-Jadda Google Inc, USA Srijan Kumar Georgia Institute of Technology, USA Tao Ye Amazon, USA Stephen Guo Indeed, USA Contact: Please direct all your queries to xiquan_cui at homedepot.com for help. Xiquan Cui Senior Manager of Online Data Science xiquan_cui at homedepot.com Office: (770)433-8211 x80588 The Home Depot 320 Interstate North Pkwy SE, Atlanta, GA 30339 ________________________________ The information in this Internet Email is confidential and may be legally privileged. It is intended solely for the addressee. Access to this Email by anyone else is unauthorized. If you are not the intended recipient, any disclosure, copying, distribution or any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. When addressed to our clients any opinions or advice contained in this Email are subject to the terms and conditions expressed in any applicable governing The Home Depot terms of business or client engagement letter. The Home Depot disclaims all responsibility and liability for the accuracy and content of this attachment and for any damages or losses arising from any inaccuracies, errors, viruses, e.g., worms, trojan horses, etc., or other items of a destructive nature, which may be contained in this attachment and shall not be liable for direct, indirect, consequential or special damages in connection with this e-mail message or its attachment. INTERNAL USE -------------- next part -------------- An HTML attachment was scrubbed... URL: From pietro-92- at hotmail.it Wed May 24 16:00:08 2023 From: pietro-92- at hotmail.it (pietro astolfi) Date: Wed, 24 May 2023 20:00:08 +0000 Subject: Connectionists: OPEN PHD POSITION ON MACHINE LEARNING FOR BRAIN CONNECTIVITY IN CLINICAL NEUROSCIENCE Message-ID: OPEN PHD POSITION ON MACHINE LEARNING FOR BRAIN CONNECTIVITY IN CLINICAL NEUROSCIENCE We are pleased to announce the opening of one PhD position in neuroinformatics at the International Doctoral School in Cognitive and Brain Sciences (CIMeC) of the University of Trento, Italy. The PhD Grant is funded by the Neuroinformatics Laboratory (NILab) of Fondazione Bruno Kessler (FBK). This project is in collaboration with the School of Medicine of the University of Trento and the Division of Neurosurgery, S. Chiara Hospital, Trento. Clinical neuroscience is playing a key role in the understanding of the brain with data of pathological alterations. The detection of anomalies in the brain structure and function is a crucial step not only for diagnosis and prognosis but also to decode the connectome of the human brain. Data driven approaches are providing promising results to characterize the patterns of the healthy brain. The challenge is to disentangle the intrinsic interindividual differences in the brain structure and function with respect to alterations related to cognitive impairment. The research objective is to investigate the most innovative techniques of Artificial Intelligence, such as geometric deep learning, to translate the knowledge of connectivity structures from a healthy population to the individual patients of a clinical study. The ultimate goal is the development of computational methods to support the detection of altered structures in the connectome affected by brain disorders. The successful candidate will have a MSc in computer science, biomedical engineering, physics, or any STEM discipline. Hands-on training in neuroimaging data analysis and/or software tools for brain connectivity will be highly valued. For reference to recent work of relevance to this project, please see Astolfi et al. MICCAI (2020), Legarreta et al., Medical Image Analysis (2021). The position is for a 4 year PhD program (Nov. 1, 2023- Oct. 31, 2027). Courses are in English. The salary is starting at approximately ?1.200/mo., net. An additional personal budget of around ?5.000 is provided for research and mobility. The University of Trento ranks among top Italian Universities (https://www.unitn.it/en/ateneo/1636/rankings). Fondazione Bruno Kessler ranks first among the Italian research centers in Engineering and Computer Science (https://magazine.fbk.eu/en/news/fbk-ranks-1st-in-italy-for-scientific-excellence-in-three-areas). Why choose Trento? (http://www.unitn.it/en/ateneo/1629/why-choose-the-university-of-trento) Important dates: Deadline for application: 31 May 2023 Evaluation interview: 25 June 2023 Beginning of PhD program: 1 November 2023 Apply now: https://webapps.unitn.it/Apply/en/Web/GoHome/dott/cbs39 https://www.unitn.it/drcimec/105/2023-topic-specific-grants-and-descriptions You are kindly invited to contact in advance Paolo Avesani (paolo.avesani at unitn.it).. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathislamarre at gmail.com Thu May 25 06:45:12 2023 From: mathislamarre at gmail.com (Mathis Lamarre) Date: Thu, 25 May 2023 12:45:12 +0200 Subject: Connectionists: Job Opening: PostDoc position @TU Berlin on Computational Cognitive Neuroscience of Language in collaboration with Gallant Lab at UC Berkeley Message-ID: We are looking for a highly motivated researcher to join our group in interdisciplinary projects that focus on the development of computational models to understand how linguistic information is represented in the human brain during language comprehension. Computational encoding models in combination with deep learning-based machine learning techniques will be developed, compared, and applied to identify linguistic representations in the brain across languages. Please find further details about the positions and how to apply here: https://www.jobs.tu-berlin.de/en/job-postings/166265 Employer: Technische Universit?t Berlin Salary grade: TV-L 13 PostDoc Berliner Hochschulen Starting date: as soon as possible The application deadline is June 16th. For informal inquiries please contact Fatma Deniz (deniz at tu-berlin.de) directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hypeuler at gmail.com Thu May 25 06:17:56 2023 From: hypeuler at gmail.com (Erman Acar) Date: Thu, 25 May 2023 12:17:56 +0200 Subject: Connectionists: Deadline Extension CfP for KR4HI 2023 - Second International Workshop on Knowledge Representation for Hybrid Intelligence References: Message-ID: <1783AC23-6ADD-4BC7-8B5A-36F79A1D2B68@gmail.com> Dear Colleagues and Friends Deadline is extended to June 7th (see the forwarded message). Also beware the follow-up journal special issue for the paper extensions. Website for the workshop: https://sites.google.com/view/kr4hi-2023/home Cheers, Erman --- Erman Acar, PhD Assistant Professor (for XAI in Finance) Institute of Logic, Language and Computation Socially Intelligent Artificial Systems (SIAS) Group @ IvI University of Amsterdam > Begin forwarded message: > > From: Erman Acar > Subject: Connectionists: CfP for KR4HI 2023 - Second International Workshop on Knowledge Representation for Hybrid Intelligence > Date: 28 April 2023 at 12:13:05 CEST > To: connectionists at cs.cmu.edu > > > > Dear Colleagues, > > > KR4HI-2023 is the second International Workshop on Knowledge Representation for Hybrid intelligence which will be co-located with the 2nd international conference on Hybrid-Human Artificial Intelligence (HHAI 2022). The workshop will be held in Design Offices Macherei on June 26th, 2023. > > Submission deadline: May 10th, 2023 > > Submission link: https://easychair.org/conferences/?conf=kr4hi2023 > > > The review process: The review process will be carried out as single-blind. > List of Topics > The workshop has an interdisciplinary theme and welcomes any work from any discipline which uses a KR formalism in a HI scenario. The relevant themes to be used in a HI scenario include but are not limited to: > ? Argumentation Frameworks > ? Integrating Learning and Reasoning (Neuro-Symbolic systems, Statistical Relational Learning) > ? Formal or Applied Ontologies (Knowledge Graphs, Description Logics) > ? Causal Inference/Counterfactual Reasoning > ? Constraint Programming > ? Epistemic Logics and Theory of Mind > ? Formal Concept Analysis > ? Automated Reasoning, Robotics and Planning > ? Non-monotonic Reasoning (Answer-set Programming, Datalog) > ? Models of uncertainty (Probabilistic Graphical models, Probabilistic/Fuzzy Logics) > ? Temporal logics (Single-agent / Multiagent Logics) > ? Preferential/Contextual Reasoning > > Publication > Accepted papers will be published in CEUR workshop proceedings. Selected papers will be further invited for (extended version) submission to a special issue of the journal AI Communications. > > > > Program Committee > > Erman Acar (ILLC, University of Amsterdam, NL) > Pierangela Bruno (University of Calabria, IT) > Martin Diller (Technische Universit?t Dresden, DE) > Davide Grossi (ILLC & University of Groningen, NL) > Ricardo Guimr?es (University of Bergen, NO) > Ronald de Haan (ILLC, University of Amsterdam, NL) > Frank van Harmelen (Vrije Universiteit Amsterdam, NL) > Loan Ho (Vrije Universiteit Amsterdam, NL) > Guiseppe Mazotta (University of Calabria, IT) > Emile van Krieken (Vrije Universiteit Amsterdam, NL) > Victor Lacerda (University of Bergen, NO) > Ana Ozaki (University of Bergen, NO) > Rafael Pen?aloza (University of Milano-Bicocca, IT) > Nico Potyka (Imperial College London, UK) > Stefan Schlobach (Vrije Universiteit Amsterdam, NL) > Bar?? Sertkaya (Frankfurt University of Applied Sciences, DE) > Atefeh Zafarghandi (CWI & Vrije Universiteit Amsterdam, NL) > > > Organizing committee > Erman Acar (ILLC, University of Amsterdam) > Ana Ozaki (University of Bergen) > Rafael Pen?aloza (University of Milano-Bicocca) > Stefan Schlobach (Vrije Universiteit Amsterdam) > Atefeh Zafarghandi (CWI & Vrije Universiteit Amsterdam) > > Keynote Speakers > > ? Thomas Bolander (Technical University of Denmark) - From Dynamic Epistemic Logic to Socially Intelligent Robots > ? Max van Duijn (Leiden University) - Theory of Mind in Large Language Models > > Venue > The workshop is co-located with the 2nd international conference on Hybrid-Human Artificial Intelligence (HHAI 2023), Design Offices Macherei in Munich, Germany, on June 26th, 2023. > Contact > For any question, please contact Erman Acar via email: erman.acar at uva.nl > > > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kaufhold at fz-juelich.de Thu May 25 09:43:38 2023 From: d.kaufhold at fz-juelich.de (Dorthe Kaufhold) Date: Thu, 25 May 2023 15:43:38 +0200 Subject: Connectionists: Call for Abstracts for the Bernstein Conference 2023 in Berlin - Contributed talks and posters Message-ID: <8ba06fde-7189-ebc2-2bf3-2a47d4d0ec99@fz-juelich.de> Call for Abstracts for the Bernstein Conference 2023 in Berlin - Contributed talks and posters +++ The Bernstein Network Computational Neuroscience invites proposals for Contributed Talks of the Bernstein Conference 2023 in Berlin. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 26 - 29, 2023 * Deadline for submission of abstracts to be considered for Contributed Talks: June 21, 2023 * Deadline for poster abstract submission: July 19, 2023 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ INVITED SPEAKERS Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsburry Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesit?t Freiburg, Germany) ____ CONFERENCE COMMITTEE Robert G?tig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Dr. Dorthe Kaufhold Scientific Management and Coordination Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany phone: +49 761 203-9589 mail: d.kaufhold at fz-juelich.de web: www.bernstein-network.de Twitter: BernsteinNeuro Mastodon: BernsteinNetwork at mastodon.world LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Aishwaryaprajna at ontariotechu.ca Thu May 25 09:46:50 2023 From: Aishwaryaprajna at ontariotechu.ca (Aishwaryaprajna .) Date: Thu, 25 May 2023 13:46:50 +0000 Subject: Connectionists: Call for Papers for SaSSO Workshop in IEEE ACSOS 2023 Message-ID: <1bd2696302fb45d1ab54d1204e646f13@ontariotechu.ca> Hi, We would like to share the following call for papers. *** CALL FOR PAPERS: Sustainable and Scalable Self-Organisation (SaSSO) Workshop *** To be held 4th IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2023 In Toronto, Canada from Mon 25 - Fri 29 September 2023 The goal of this inter-disciplinary workshop is to address two contrasting pairs of inter-related research questions: * firstly, the sustainability of self-organisation, given the features of path dependency (where prior decisions significantly constrain present choices); the iron law of oligarchy which identifies the tendency of self-organisation to slide into oligarchy; and the avoidance of tyranny at the core of Ober?s Basic Democracy; * secondly, and conversely, self-organisation for sustainability building towards the UN Sustainability goals, along with developments considering the pioneering work of Ostrom?s self-governing institutions for common-pool resource management, but also considering self-sustainability, e.g. in the form of cooperative survival dilemmas; * thirdly, scalability of self-organisation, for example as the number of components in a system changes over time, how are structures and processes for decision-making, dispute resolution and monitoring affected by such changes, even with new ?generations?; and * fourthly, and conversely, self-organisation for scalability, both for pro-active management of anticipated growth or contraction, but also how the values or incentives implied by self-organised rules change over time (the rule-based equivalent of concept drift). Workshop organizers: * Ada Diaconescu * Peter Lewis * Jeremy Pitt More information can be found on the workshop?s website: https://amertzani.github.io IMPORTANT DATES: * June 23rd - Deadline for Paper Submission * July 15th - Acceptance/Rejection Notification * August 5th: Final/Camera-ready Copy Submission Deadline (as per ACSOS main track) PAPER SUBMISSION INSTRUCTIONS: Authors are invited to submit full workshop papers of up to 6 pages as well as extended abstracts of up to 2 pages (containing, new and wacky ideas, work in progress, or work published elsewhere) in the ACSOS paper formatting guidelines. Submissions to the workshop are free of change and they are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide. Many thanks and best regards, Aish ------ Dr. Aishwaryaprajna (she/her) Postdoctoral Research Fellow, Trustworthy Artificial Intelligence Lab Sessional Lecturer, Faculty of Business and Information Technology Ontario Tech University, Canada From franrruiz87 at gmail.com Thu May 25 14:17:37 2023 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Thu, 25 May 2023 19:17:37 +0100 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Matt Hoffman Message-ID: Dear all, We are pleased to announce that the next speaker of the *?I Can?t Believe It?s Not Better!? (**ICBINB)* virtual seminar series will be *Matt Hoffman** (**Google**)*. More details about this series and the talk are below. The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar series* seeks to shine a light on the "stuck" phase of research. Speakers will tell us about their most beautiful ideas that didn't "work", about when theory didn't match practice, or perhaps just when the going got tough. These talks will let us peek inside the file drawer of unexpected results and peer behind the curtain to see the real story of *how real researchers did real research*. *When: *June 1st, 2023 at 4pm CEST / 10am EDT *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZwtdOGprz0pGNJUCAKTX9xqrOCHlm5xZONJ *Title:* *How (Not) to Be Bayesian in an Age of Giant Models* *Abstract:** Giant neural networks have taken the world by storm. These neural networks are first pretrained using self-supervision strategies to soak up knowledge about common patterns in huge unlabeled datasets, and can then be fine-tuned to solve specific problems using small amounts of task-specific supervision. We might say that the pretrained model implicitly expresses a strong prior on what kinds of patterns are relevant, which implies that the ideal fine-tuning process must be some form of Bayesian inference! But it turns out that operationalizing this insight is harder than it sounds. I?ll discuss one of our explorations in this direction in which, with a fair amount of thought, work, specialized expertise, and extra computation, we were able to use Bayesian inference to get results that were...almost as good as just fine-tuning using gradient descent. Along the way, we (re)learned some lessons about prior specification, sparsity, random-matrix theory, and the naive genius of gradient descent.* *Bio: **Matt Hoffman is a Research Scientist at Google. His main research focus is in probabilistic modeling and approximate inference algorithms. He has worked on various applications including music information retrieval, speech enhancement, topic modeling, learning to rank, computer vision, user interfaces, user behavior modeling, social network analysis, digital imaging, and astronomy. He is a co-creator of the widely used statistical modeling package Stan, and a contributor to the TensorFlow Probability library.* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Fri May 26 04:51:55 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Fri, 26 May 2023 11:51:55 +0300 Subject: Connectionists: 19th IEEE eScience Conference (eScience 2023): Last Call for Papers Message-ID: *** Last Call for Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ (*** Submission Deadline Extension: June 19, 2023, AoE, FIRM!) eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is ?open eScience?. This year, the conference is promoting four additional key topics: ? Computational Science for sustainable development ? FAIR ? Research Infrastructures for eScience ? Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: ? Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions ? Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5?11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5?11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. ? Best Paper Award ? Best Student Paper Award ? Best Poster Award ? Best Student Poster Award ? Outstanding Early Career Contribution ? this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES ? Paper Submissions Due: June 19, 2023 (AoE) (FIRM!) ? Notification of Paper Acceptance: July 10, 2023 ? Poster Submissions due: July 7, 2023 (AoE) ? Poster Acceptance Notification: July 24, 2023 ? All Camera-ready Submissions due: August 14, 2023 ? Author Registration Deadline: August 14, 2023 ORGANISATION General Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs ? Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA ? Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program at eScience-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Jakob.Macke at uni-tuebingen.de Fri May 26 06:58:34 2023 From: Jakob.Macke at uni-tuebingen.de (Jakob Macke) Date: Fri, 26 May 2023 12:58:34 +0200 Subject: Connectionists: =?utf-8?q?Postdoc_positions_in_ML/Neuro_at_T?= =?utf-8?q?=C3=BCbingen_University?= Message-ID: Dear colleagues, We have several openings for Postdoctoral Researchers to work at the intersection of Machine Learning and Computational Neuroscience funded by the ERC Consolidator Grant ?DeepCoMechTome: Using deep learning to understand computations in neural circuits with Connectome-constrained Mechanistic Models?. The goal of DeepCoMechTome is to develop simulation-based machine learning tools that will make it possible to build neural network models that are both biologically realistic and computationally powerful. Some relevant prior work can be found in https://www.biorxiv.org/content/10.1101/2023.03.11.532232v1. We are looking for candidates with a strong quantitative background and PhD in a relevant discipline, ideally in computational neuroscience, machine learning or numerical simulation, a genuine interest in collaborative work at the interface of machine learning and neuroscience, and strong programming skills (ideally Python and relevant deep learning frameworks). Our research group (https://www.mackelab.org) develops methods in machine learning and artificial intelligence to accelerate scientific discovery, with a particular focus on neuroscience. We aim to provide an interdisciplinary, collaborative and supportive work environment which emphasizes diversity and inclusion. We are embedded in Tu?bingen?s internationally renowned research community in artificial intelligence and computational neuroscience, including the Cyber Valley Initiative, the Tu?bingen AI Center, the ELLIS initiative, the Excellence Cluster Machine Learning, the Bernstein Center for Computational Neuroscience, the Hertie Institute for AI in Brain Health and dedicated MSc Programs in Machine Learning and Computational Neuroscience. We are situated in the AI Research Building, in close proximity to the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, and participate in the two International Max Planck Research Schools (IMPRS) `Intelligent Systems? and`Mechanisms of Mental Function and Dysfunction?. The University of Tu?bingen is committed to equal opportunity, diversity and inclusion. In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tu?bingen aims at increasing the share of women in science and highly encourages female scientists to apply. We also explicitly encourage scientists from outside Germany to apply. Please submit your application materials to mls-jobs at inf.uni-tuebingen.de, including a CV with publication list, a statement of research interests (max. two pages), contact details of two referees, and a link to a code repository (or work samples). Application deadline is June 20, 2023. Candidates are encouraged to send their application material early, as we will start reviewing applications before the deadline. Initial fixed-term contracts will be for 3 years at level E13 TV-L with possible extensions, starting date is flexible. Part-time positions are possible. Hiring is carried out by the Central Administration. For further details and instructions, see www.mackelab.org/jobs . Best, Jakob Macke Prof. Dr. Jakob Macke Machine Learning in Science; Cluster of Excellence "Machine Learning?, University of T?bingen Adjunct Senior Research Scientist, Department of Empirical Inference; Max Planck Institute for Intelligent Systems T?bingen Director, Bernstein Center for Computational Neuroscience www.mackelab.org From d.mandic at imperial.ac.uk Fri May 26 06:27:38 2023 From: d.mandic at imperial.ac.uk (Danilo Mandic) Date: Fri, 26 May 2023 11:27:38 +0100 Subject: Connectionists: Special issue on "AI-Generated Content for Multimedia" in IEEE CAS-VT, deadline 1 July 2023 Message-ID: <8cc2ce06-02a5-7e2f-557a-236902ad3e3f@imperial.ac.uk> Dear All, Submissions are open to our special issue entitled ??AI-Generated Content for Multimedia?, which will appear in IEEE Transactions on Circuits and Systems for Video Technology. The deadline has been extended until 1 July 2023. More details can be found at https://ieee-cas.org/files/ieeecass/2023-03/Call%20for%20papers%20%28AIGC%29_final_0306.pdf Best wishes, Danilo ---- Prof Danilo P. Mandic Imperial College London President of the International Neural Networks Society Distinguished Lecturer of the IEEE Computational Intelligence Society Distinguished Lecturer of the IEEE Signal Processing Society From vtresp at gmail.com Fri May 26 07:08:19 2023 From: vtresp at gmail.com (Volker Tresp) Date: Fri, 26 May 2023 13:08:19 +0200 Subject: Connectionists: [CFP] IEEE QCE 2023 - Workshop on Quantum Machine Learning (QML@QCE) Message-ID: <835BCDF6-AE61-4CA5-94D5-3F5B79CF84BA@gmail.com> Workshop on Quantum Machine Learning: From Foundations to Applications at the IEEE International Conference on Quantum Computing and Engineering (IEEE Quantum Week) Quantum computing has made significant progress in recent years and scientists are exploring its applications across various fields, including quantum machine learning (QML). The workshop fosters an interdisciplinary dialogue between experts from various fields, including AI, ML, software/systems engineering, physics, and more. The workshop will also incorporate industrial users to identify application potentials and explore co-design ideas that enable special-purpose, hybrid quantum-classical appliances to be designed for problems of topical importance. By bringing together researchers and practitioners, the workshop advances the state of the art in QML and identifies practical applications of the technology. QML at QCE strives for a high-quality, diverse, and innovative program, and solicits a range of varied contributions. We seek research, systems, experiment/analysis, and application papers, as well as poster submissions on all topics described above especially by younger members of the community. Papers are allowed four pages in IEEE transactions format (excluding references) and may add a fifth page after review to address reviewer comments. We do not accept pure position papers without sufficient technical content, or other (mostly) marketing materials for commercial offerings. All manuscripts will be peer reviewed by at least three PC members and published as workshop proceedings to the main IEEE conference. Manuscripts must be electronically submitted as pdf via EasyChair (link below). Further information is available on the QML at QCE?23 webpage: https://qml.lfdr.de/2023 Paper submission: June 15, 2023 Notification date: July 15, 2023 Final manuscript due: August 7, 2023 Conference date: September 17-22, 2023 Location: Bellevue, Washington, USA EasyChair link: https://easychair.org/my/conference?conf=qce23 (Author > New Submission > WKS06) Workshop Organizers: Volker Tresp, LMU Steffen Udluft, Siemens AG Daniel Hein, Siemens AG Martin Leib, IQM Christopher Mutschler, Fraunhofer IIS Daniel D. Scherer, Fraunhofer IIS Wolfgang Mauerer, OTH Regensburg -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Fri May 26 09:37:51 2023 From: irina.illina at loria.fr (Irina Illina) Date: Fri, 26 May 2023 15:37:51 +0200 (CEST) Subject: Connectionists: PhD position at Loria (France) : Automatic speech recognition for non-native speakers in a noisy environment In-Reply-To: <730628097.14493011.1684076489092.JavaMail.zimbra@loria.fr> References: <1847762572.10846716.1667997869456.JavaMail.zimbra@loria.fr> <595985954.17345239.1672928857165.JavaMail.zimbra@loria.fr> <730628097.14493011.1684076489092.JavaMail.zimbra@loria.fr> Message-ID: <60641818.20306274.1685108270999.JavaMail.zimbra@loria.fr> Dear all, Please, could you post it on your lists? Thank you. Best regards, Irina Illina Automatic speech recognition for non-natives speakers in a noisy environment Ph.D. position Starting date: September-October 2023 Duration: 36 months Supervisors: Irina Illina, Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team, [ mailto:illina at loria.fr | illina at loria.fr ] Emmanuel Vincent, Senior Research Scientist & Head of Science, INRIA Multispeech Team, emmanuel.vincent at inria.fr [ http://members.loria.fr/evincent/ | http://members.loria.fr/evincent/ ] Cons : the application must meet the requirements of the French Directorate General of Armament (Direction g?n?rale de l'armement, DGA). Context When a person has their hands busy performing a task like driving a car or piloting an airplane, voice is a fast and efficient way to achieve interaction. In aeronautical communications, the English language is most often compulsory. Unfortunately, a large part of the pilots are not native English and speak with an accent dependent on their native language and are therefore influenced by the pronunciation mechanisms of this language. Inside an aircraft cockpit, the non-native voice of the pilots and the surrounding noises are the most difficult challenges to overcome in order to have efficient automatic speech recognition (ASR). The problems of non-native speech are numerous: incorrect or approximate pronunciations, errors of agreement in gender and number, use of non-existent words, missing articles, grammatically incorrect sentences, etc. The acoustic environment adds a disturbing component to the speech signal. Much of the success of speech recognition relies on the ability to take into account different accents and ambient noises in the models used by ASR. Automatic speech recognition has made great progress thanks to the spectacular development of deep learning. In recent years, end-to-end automatic speech recognition, which directly optimizes the probability of the output character sequence based on the input acoustic characteristics, has made great progress [Chan et al., 2016; Baevski et al., 2020; Gulati, et al., 2020]. Objectives The recruited person will have to develop methodologies and tools to obtain high-performance non-native automatic speech recognition in the aeronautical context and more specifically in a (noisy) aircraft cockpit. This project will be based on an end-to-end automatic speech recognition system [Shi et al., 2021] using wav2vec 2.0 [Baevski et al., 2020]. This model is one of the most efficient of the current state of the art. This wav2vec 2.0 model enables self-supervised learning of representations from raw audio data (without transcription). How to apply: Interested candidates are encouraged to contact Irina Illina (illina at loria.fr) with the required documents (CV, transcripts, motivation letter, and recommendation letters). Requirements & skills: - Master's degree in speech/audio processing, computer vision, machine learning, or in a related field, - ability to work independently as well as in a team, - solid programming skills (Python, PyTorch), and deep learning knowledge, - good level of written and spoken English. References [Baevski et al., 2020] A. Baevski, H. Zhou, A. Mohamed, and M. Auli. Wav2vec 2.0: A framework for self-supervised learning of speech representations, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020. [Chan et al., 2016] W. Chan, N. Jaitly, Q. Le and O. Vinyals. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 4960-4964, 2016. [Chorowski et al., 2017] J. Chorowski, N. Jaitly. Towards better decoding and language model integration in sequence to sequence models. Interspeech, 2017. [Houlsby et al., 2019] N. Houlsby, A. Giurgiu, S. Jastrzebski, B. Morrone, Q. De Laroussilhe, A. Gesmundo, M. Attariyan, S. Gelly. Parameter-efficient transfer learning for NLP. International Conference on Machine Learning, PMLR, pp. 2790?2799, 2019. [Gulati et al., 2020] A. Gulati, J. Qin, C.-C. Chiu, N. Parmar, Y. Zhang, J. Yu, W. Han, S. Wang, Z. Zhang, Y. Wu, and R. Pang. Conformer: Convolution-augmented transformer for speech recognition. Interspeech, 2020. [Shi et al., 2021] X. Shi, F. Yu, Y. Lu, Y. Liang, Q. Feng, D. Wang, Y. Qian, and L. Xie. The accented english speech recognition challenge 2020: open datasets, tracks, baselines, results and methods. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6918?6922, 2021. -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.tsetsos62 at googlemail.com Fri May 26 17:30:58 2023 From: k.tsetsos62 at googlemail.com (Konstantinos Tsetsos) Date: Fri, 26 May 2023 22:30:58 +0100 Subject: Connectionists: PhD opportunity: Role of Attention in Complex Decisions, Bristol and Macquarie Univs. Message-ID: Dear colleagues, I would be grateful if you could kindly share the following PhD opportunity with interested students. We are offering a fully funded PhD opportunity to examine the interplay between attention and decision-making in complex, naturalistic tasks using advanced electro-/magnetoencephalography (E/MEG) techniques. Strong quantitative skills will be advantageous for this project. The project will be co-supervised by Dr. Konstantinos Tsetsos (University of Bristol) and Professor Anina Rich (Macquarie University). The selected student will join a unique PhD cohort, as part of a cotutelle graduate program between the University of Bristol and Macquarie University. The program duration is 3.5 years, with each university accommodating half of the program's duration. For further information and detailed application instructions, please refer to the following link: https://www.findaphd.com/phds/project/unravelling-the-role-of-attention-in-complex-decisions/?p151431 The application deadline is June 6th. Note: Non-UK students *are eligible* to apply and will receive full funding. Best wishes, Konstantinos Dr Konstantinos Tsetsos Senior Lecturer School of Psychological Science,Faculty of Life Sciences, University of Bristol Irrationality Lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 27 04:13:30 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 27 May 2023 10:13:30 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Summer: early registration June 20 Message-ID: <1040279472.1736494.1685175210903@webmail.strato.com> ************************************************************************ 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://deeplearn.irdta.eu/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ************************************************************************ Early registration: June 20, 2023 ************************************************************************ FRAMEWORK: DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested. SCOPE: DeepLearn 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 16 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/ STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures Jiliang Tang (Michigan State University), [introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2023su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in BigDat 2023 Summer. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2023su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Sat May 27 09:41:52 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Sat, 27 May 2023 16:41:52 +0300 Subject: Connectionists: 10th International Conference on Behavioural and Social Computing (BESC 2023): Fourth Call for Papers Message-ID: <0CWTFVSX-T56F-BKYJ-P2E0-V13C3TCQ7RXC@gmail.com> *** Fourth Call for Papers *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE BESC 2023 invites submissions of original, high-quality research papers addressing cutting-edge developments from all areas of behavioural and social computing. The conference aims to bring together researchers and practitioners from academia and industry to share their knowledge, experience, and perspectives on the latest trends, challenges, and opportunities in this rapidly evolving field. Topics of interest include, but are not limited to: Social Computing, Computational Social Science and Applications ? Computational models of social phenomena ? Social behaviour ? Social network analysis ? Semantic web ? Collective intelligence ? Security, privacy, trust in social contexts ? Social recommendation ? Social influence and social contagions ? Quantifying offline phenomena through online data ? Forecasting of social phenomena ? Science and technology studies approaches to computational social science ? Social media and health behaviours ? Social psychology and personality ? New theories, methods, and objectives in computational social science Digital Humanities ? Digital media ? Digital humanities ? Digital games and learning ? Digital footprints and privacy ? Crowd dynamics ? Digital arts ? Digital healthcare ? Activity streams and experience design ? Virtual communities (e.g., open-source, multiplayer gaming, etc.) Information Management and Information Systems (IS) ? Decision analytics ? E-Business ? Decision analytics ? Computational finance ? Societal impacts of IS ? Human behaviour and IS ? IS in healthcare ? IS security and privacy ? IS strategy, structure and organizational impacts ? Service science and IS Natural Language Processing ? Web mining and its social interpretations ? Sentiment Analysis, Stylistic Analysis, and Argument Mining ? Opinion mining and social media analytics ? Credibility of online content ? Computational Linguistics ? Mining big social data ? Cognitive Modelling and Psycholinguistics Behaviour and User Modelling, Privacy, and Ethics ? Behaviour change ? Positive technology ? Personalization for individuals, groups and populations ? Large scale personalization, adaptation and recommendation ? Web dynamics and personalization ? Privacy, perceived security and trust ? Technology and Wellbeing ? Ethics of computational research on human behaviour Technology Enhanced Learning (TEL) ? E-Learning and M-Learning ? Open and Distance Learning ? User modeling and personalization in TEL ? TEL in secondary and in higher education ? New tools for TEL BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special Sessions will be included in the same IEEE conference proceedings with the papers accepted for the general technical program. ? Computational Social Psychology in Post Covid-19 Period ? Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and Prediction ? Intelligent E-Learning at Post Covid-19 Era ? Big Data and AI-Powered Decision Support Systems in Business ? Understanding the Citizen's Behavior in Cognitive Cities ? Nudges and Behavioural Computing Models for a Sustainable and Equitable Development SUBMISSION INSTRUCTIONS The paper submission system is using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=besc2023 . All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity. Please note: ? All submissions should use IEEE two-column style. Templates are available here: https://www.ieee.org/conferences/publishing/templates.html ? All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages) and Doctoral Symposium papers (4 pages). ? The page count above excludes the references (but includes any appendices). ? Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. ? Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. ? Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. ? Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. ? The use of artificial intelligence (AI)?generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. ? All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing). IMPORTANT DATES ? Submission of all papers: 15 July 2023 ? Notification of acceptance for submitted papers: 15 September 2023 ? Camera-Ready Submission: 1 October 2023 ? Author Registration: 1 October 2023 ORGANISATION Steering Committee Chair ? Guandong Xu, University of Technology Sydney, Australia General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Georgia Kapitsaki, University of Cyprus, Cyprus ? Ji Zhang, University of Southern Queensland, Australia Special Session Chairs ? Taotao Cai, University of Southern Queensland, Australia ? Ting Yu, Zhejiang Lab, China Doctoral Symposium Chair ? Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair ? Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair ? Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs ? Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore ? Thanveer Shaik, University of Southern Queensland, Australia ? Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster ? Shiqing Wu, University of Technology Sydney, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.dovrolis at cyi.ac.cy Sat May 27 11:13:19 2023 From: c.dovrolis at cyi.ac.cy (Constantine Dovrolis) Date: Sat, 27 May 2023 15:13:19 +0000 Subject: Connectionists: PostDoc at The Cyprus Institute - Data-Driven Computational Science Message-ID: Closing Date: 24/06/2023 The Cyprus Institute (CyI) (https://www.cyi.ac.cy/) is a European non-profit Science and Technology oriented Educational and Research Institution based in Cyprus and led by an acclaimed Board of Trustees. The research agenda of the CyI is pursued at its five Research Centres: The Computation-based Science and Technology Research Centre (CaSToRC), the Science and Technology in Archaeology and Culture Research Centre (STARC), the Energy Environment Water Research Centre (EEWRC), the Climate and Atmosphere Research Centre (CARE-C), and the Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC). Considerable cross-centre interaction is a characteristic of the Institute?s culture. The Cyprus Institute invites applications for a highly qualified and motivated individual to join the Institute as a Postdoctoral Research Fellow in Data-Driven Computational Science at CaStoRC. The successful candidate will conduct fundamental research in one or more of the following areas: * Data mining methods * Complex network analysis * Deep learning architectures * Cross-disciplinary applications of ?big data? methods in climate science, smart farming, education, health, etc This position offers a unique opportunity for fundamental research and its exact focus will be determined also based the interests and skills of the successful candidate. The successful candidate will also work closely with the PI in writing relevant grant proposals. The appointment is for a fixed-term period, with the possibility of renewal subject to performance and the availability of funds. An internationally competitive remuneration package will be offered, which is commensurate with the level of experience of the successful candidate. Responsibilities/activities to be involved in: 1. Development of novel methods in any of the following: data mining, complex network analysis, machine learning/AI, data-driven computational science. 2. Collection and statistical analysis of data from various application domains. 3. Writing research papers in collaboration with the PI -- aiming to publish at top-tier conferences and journals. 4. Presentation of results in conferences and meetings and participation in journal publications. 5. Contribution to research proposal preparation, project (scientific) reporting & project management. 6. Supervision and guidance of Research Assistants and Students. Required Qualifications 1. PhD in Computer Science, Computer Engineering, and other related fields of Natural Sciences and Engineering at the time of the appointment. 2. Publications in any of the following areas: data mining, complex networks, machine learning, AI, data-driven computational science. 3. 3-year experience (including PhD research) 4. Proficient programming skills and experience with data analysis and/or machine learning frameworks such as R or PyTorch. 5. Ability to work as part of an interdisciplinary team while showing initiative and independence. 6. Excellent knowledge of the English language (written and verbal). 7. Excellent communication and interpersonal skills. Preferred Qualifications * Experience with statistical methods * Experience in at least one cross-disciplinary application domain Application For full consideration, interested applicants should process their application at The Cyprus Institute Exelsys Platform (https://bit.ly/3HDLRTw) based on the instructions given. Applicants should submit a curriculum vitae including a short letter of interest, [list of publications] and a list of three (3) referees (including contact information) (all documentation should be in English and in PDF Format). For further information, please contact Prof Constantine Dovrolis (c.dovrolis at cyi.ac.cy). Please note that applications which do not fulfill the required qualifications and do not follow the announcement?s guidelines will not be considered. Recruitment will continue until the position is filled. The Cyprus Institute is an Equal Opportunities Employer certified from the Cypriot Ministry of Labor and also an HRS4R accredited Institution that adheres to the European Commission?s ?Charter & Code? principles for recruitment and selection. Reference number: CaSToRC_PDF_23_05 Constantine Dovrolis ? short bio Professor and Director of CaSToRC ? The Cyprus Institute ? www.cyi.ac.cy -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Sat May 27 08:59:48 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Sat, 27 May 2023 15:59:48 +0300 Subject: Connectionists: =?utf-8?q?UMAP_=E2=80=9923=3A_31st_ACM_Conference?= =?utf-8?q?_on_User_Modeling=2C_Adaptation_and_Personalization=3A_C?= =?utf-8?q?all_for_Participation?= Message-ID: *** Call for Participation *** UMAP ?23: 31st ACM Conference on User Modeling, Adaptation and Personalization June 26 - 29, 2023, St. Raphael Resort, Limassol, Cyprus https://www.um.org/umap2023/ ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. The proceedings are published by ACM and will be part of the ACM Digital Library. UMAP 2023 will feature 104 technical presentations of various categories (main conference papers, large breaking results, demos and posters, etc.). The participants can also attend a number of workshops and tutorials. Finally, the technical program also includes 3 keynote speakers. More information can be found on the conference web site. Please note that the early registration deadline has been extended by one week to June 2. -------------- next part -------------- An HTML attachment was scrubbed... URL: From francesca.naretto at sns.it Fri May 26 09:54:55 2023 From: francesca.naretto at sns.it (Francesca NARETTO) Date: Fri, 26 May 2023 15:54:55 +0200 Subject: Connectionists: XKDD 2023 - Call for Papers Message-ID: XKDD 2023 - Call for Papers ------------------------------------------------------------------------- 5th ECML-PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a wide range of application domains, like credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the support of these systems has an immense potential to improve the decision in different fields, their use may present ethical and legal risks, such as codifying biases, jeopardizing transparency and privacy, and reducing accountability. Unfortunately, these risks arise in different applications. They are made even more serious and subtly by the opacity of recent decision support systems, which are often complex and their internal logic is usually inaccessible to humans. Nowadays, most Artificial Intelligence (AI) systems are based on Machine Learning algorithms. The relevance and need for ethics in AI are supported and highlighted by various initiatives arising from the researches to provide recommendations and guidelines in the direction of making AI-based decision systems explainable and compliant with legal and ethical issues. These include the EU's GDPR regulation which introduces, to some extent, a right for all individuals to obtain ``meaningful explanations of the logic involved'' when automated decision making takes place, the ``ACM Statement on Algorithmic Transparency and Accountability'', the Informatics Europe's ``European Recommendations on Machine-Learned Automated Decision Making'' and ``The ethics guidelines for trustworthy AI'' provided by the EU High-Level Expert Group on AI. The challenge to design and develop trustworthy AI-based decision systems is still open and requires a joint effort across technical, legal, sociological and ethical domains. The purpose of XKDD, eXplaining Knowledge Discovery in Data Mining, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning. Also, this year the workshop will seek submissions addressing uncovered important issues in specific fields related to eXplainable AI (XAI), such as XAI for a more Social and Responsible AI, XAI as a tool to align AI with human values, XAI for Outlier and Anomaly Detection, quantitative and qualitative evaluation of XAI approaches, and XAI case studies. The workshop will seek top-quality submissions related to ethical, fair, explainable and transparent data mining and machine learning approaches. Papers should present research results in any of the topics of interest for the workshop, as well as tools and promising preliminary ideas. XKDD asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view but also from a legal, ethical or sociological perspective. Topics of interest include, but are not limited to: TOPICS - XAI for Social AI - XAI for Responsible AI - XAI to Align AI with Human Values - XAI for Outlier and Anomaly Detection - Quantitative and Qualitative Evaluation of XAI approaches - Transparent-by Design Models - XAI Case studies - XAI for Privacy-Preserving Systems - XAI for Federated Learning - XAI for Time Series based Approaches - XAI for Graph based Approaches - XAI for Visualization - XAI in Human-Machine Interaction - XAI in Human-in-the-Loop Interactions - Counterfactual Explanations - Human-Model Interfaces for XAI approaches - Explainable Artificial Intelligence (XAI) - Interpretable Machine Learning - Transparent Data Mining - XAI for Fairness Checking - Explanation, Accountability and Liability from an Ethical and Legal Perspective XKDD 2023 is a Workshop of the ECML-PKDD Conference: https://2023.ecmlpkdd.org/ SUBMISSION & PUBLICATION All contributions will be reviewed by at least three members of the Program Committee. As regards size, contributions can be up to is 14 pages references excluded in LNCS format, i.e., the ECML PKDD 2023 submission format. All papers should be written in English. The following kinds of submissions will be considered: research papers, tool papers, case study papers and position papers. Detailed information on the submission procedure is available at the workshop web page: http://xkdd2023.isti.cnr.it/ If pandemic conditions permit, the workshop will be held in an on-site format. Recordings of the lectures will be made available to all registered participants. Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). The condition for inclusion in the post-proceedings is that at least one of the co-authors registered to ECML-PKDD and presented the paper at the workshop. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A special issue of a relevant international journal with extended versions of selected papers is under consideration. The submission link is: https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023/Track/16/Submission/Create IMPORTANT DATES Paper Submission deadline: June 20, 2023 Accept/Reject Notification: July 13, 2023 Camera-ready deadline: July 31, 2023 Workshop: September 18, 2023 PROGRAM CO-CHAIRS * Przemyslaw Biecek, Warsaw University of Technology, Poland * Tania Cerquitelli, Politecnico di Torino, Torino, Italy * Riccardo Guidotti, University of Pisa, Italy * Francesca Naretto, Scuola Normale Superiore, Pisa, Italy * Daniele Regoli, Instesa San Paolo, Italy PROGRAM COMMITEE * Miguel Couceiro, Universit?? de Lorraine, France * Alessandro Castelnovo, Intesa San Paolo, Italy * Riccardo Crupi, Intesa San Paolo, Italy * Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain * Fran??oise Fessant, Orange Labs, France * Salvatore Greco, Politecnico di Torino, Italy * Andreas Holzinger, Medical University of Graz, Austria * Paulo Lisboa, Liverpool John Moores University, UK * Marcin Luckner, Warsaw University of Technology, Poland * Amedeo Napoli, CNRS, France * John Mollas, Aristotle University of Thessaloniki, Greece * Enea Parimbelli, University of Pavia, Italy * Francesca Pratesi, ISTI-CNR, Italy * Roberto Prevete, University of Napoli, Italy * Antonio Rago, Imperial College London, UK * Eliana Pastor, Politecnico di Torino, Italy * Jan Ramon, Inria, France * Xavier Renard, AXA, France * Mahtab Sarvmaili, Dalhousie University, Canada * Udo Schlegel, Konstanz University, Germany * Mattia Setzu, University of Pisa, Italy * Dominik Slezak, University of Warsaw, Poland * Myra Spiliopoulou, University Magdeburg, Germany * Francesco Spinnato, Scuola Noramle Superiore, Italy * Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece * Genoveva Vargas-Solar, CNRS, LIRIS, France * Albrecht Zimmermann, Universit?? de Caen, France INVITED SPEAKERS * Andreas Theissler, Aalen University of Applied Sciences, Aalen, Germany * Dino Pedreschi, University of Pisa, Italy (tentative) STEERING COMMITTEE * Riccardo Guidotti, University of Pisa * Anna Monreale, University of Pisa * Salvatore Rinzivillo, ISTI-CNR, Pisa VENUE The event will take place at the ECML-PKDD 2023 Conference at the Officine Grandi Riparazioni (OGR). CONTACT All inquiries should be sent to francesca.naretto at di.unipi.it, riccardo.guidotti at unipi.it -- Francesca Naretto Ph.D. student in Data Science francesca.naretto at sns.it SNS, Pisa | CNR, Pisa -------------- next part -------------- An HTML attachment was scrubbed... URL: From a0091624 at gmail.com Sat May 27 01:17:56 2023 From: a0091624 at gmail.com (Mengmi Zhang) Date: Sat, 27 May 2023 13:17:56 +0800 Subject: Connectionists: Invitation to submit papers to AAAI 2023 Inaugural Summer Symposium in Singapore (topics: EMBODIED INTELLIGENCE and others) Message-ID: Dear All, We are organizing an *EMBODIED INTELLIGENCE* symposium at the coming *AAAI 2023 Inaugural Summer Symposium* to be held in Singapore from *July 17 ? 19, 2023*. Please see: https://aaai.org/conference/summer-symposia/summer-series-2023/ We welcome paper submissions and attendance at the symposium: https://sites.google.com/view/embodiedintelligence Please share this message with others who may be interested. Thanks, and look forward to receiving your papers and seeing you at the symposium! -- Best, Mengmi Assistant professor and PI of Deep NeuroCognition Lab School of Computer Science and Engineering Nanyang Technological University (NTU), Singapore CFAR and I2R @ Agency for Science, Technology and Research (A*STAR) Lab website: https://a0091624.wixsite.com/deepneurocognition-1 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hussain.doctor at gmail.com Sat May 27 13:58:36 2023 From: hussain.doctor at gmail.com (Amir Hussain) Date: Sat, 27 May 2023 18:58:36 +0100 Subject: Connectionists: Job Vacancy: Research Fellowship in Multimodal Hearing Assistive Technology (deadline: 11 June 2023) Message-ID: Dear all: **please help circulate - thank you in advance** The UK EPSRC funded COG-MHEAR research programme (http://cogmhear.org) is recruiting for a *postdoctoral research fellow* in multimodal hearing assistive technology based at Edinburgh Napier University in Scotland - please see details below. COG-MHEAR Research Fellow post (for up to 32 months - closing date: 11th June 2023): https://jobs.napier.ac.uk/mthrprod_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=219252GT8y&WVID=4376296Olf Kindest regards Amir --- Professor Amir Hussain Programme Director: EPSRC COG-MHEAR (http://cogmhear.org) School of Computing, Engineering & Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, Scotland, UK E-mail: a.hussain at napier.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From Alberto.Paccanaro at rhul.ac.uk Sun May 28 22:32:13 2023 From: Alberto.Paccanaro at rhul.ac.uk (Paccanaro, Alberto) Date: Mon, 29 May 2023 02:32:13 +0000 Subject: Connectionists: Open-rank faculty position in Data Science in Rio de Janeiro -- School of Applied Mathematics, Fundacao Getulio Vargas -- deadline June 26, 2023 In-Reply-To: References: Message-ID: [Apologies for cross-posting] The School of Applied Mathematics at Funda??o Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for one open-rank faculty position in Data Science to strengthen and complement our existing research activity in this area. We are looking for established researchers (associate/full professor) or outstanding young researchers (assistant professor) who have demonstrated research and teaching expertise in Data Science. We will prioritize applicants whose research focuses on natural language processing, computer vision, reinforcement learning, network science and data mining, but we also welcome applications from other areas of Data Science. The successful candidate is expected to develop an externally funded research programme, publish in high impact venues, supervise research (postgraduate) students, teach at both undergraduate and graduate levels, and provide service to the department and institution. Peer-reviewed external funding is expected to be obtained and sustained. Industrial partnerships are also strongly encouraged. *Qualifications* The successful candidate will hold a Ph.D. in Computer Science or a closely related discipline, at the time of the appointment. At the assistant professor level, the applicant is expected to have a compatible track of publications and strong potential for publishing in top ranked venues. At higher levels (associate or full professor) the applicant is expected to have an established line of research with a strong publication record, proven ability to attract external funding, and an established research network. The successful candidate will also possess excellent communication and presentation skills, being capable of teaching both undergraduate and postgraduate students across our portfolio of Data Science courses. Fluency in Portuguese is desirable, but not required. However, by the end of the second year the applicant may be required to teach in Portuguese. *Start-up package* A generous package is available to provide the necessary resources for starting a successful independent research programme. These include computational infrastructure, lab space as well as postdoctoral positions and support for graduate students. There is also the possibility to apply internally for core-funded projects. During the first year, it will be possible to arrange for a reduced teaching load. *Salary and Benefits* We offer an internationally competitive salary commensurate with level of appointment ? gross monthly salary ranges from R$ 20,300 to R$ 39,400 (roughly 54,000-105,000 USD per year), which is higher than any similar academic institution in Brazil. The benefits include health and dental plans, support for young children?s education and private pension fund. *Application* Applicants should send their applications to: emap_position at fgv.br including: 1. a cover letter describing their experience, interests, and suitability for the position; 2. a curriculum vitae; 3. teaching statement; 4. research statement; 5. electronic version of their best 3 publications (assistant professor) or best 5 publications (associate or full professor) in the past 5 years Applicants must also arrange for three reference letters to be sent by the referees to emap_position at fgv.br. Reference letters must be sent before the application deadline. To be considered at the associate or full professor level, the candidate should also include evidence of experience in directing graduate students. The deadline for applications is June 26, 2023. Selected applicants will be contacted for an interview by July 3. A first round of online interviews will be scheduled starting from July 10. Selected candidates will then be invited to FGV for final interviews and in-person meetings. Further enquiries should be sent to Prof. Cesar Camacho, Head of the School, by emailing emap at fgv.br. *About us* The Funda??o Getulio Vargas (FGV), founded in 1944 in Rio de Janeiro, Brazil, is internationally recognized as one of the 6 most important think tanks in the world and one of the best institutions of higher learning. FGV is consistently ranked as the best institution in South and Central America and the 10th leading institution in the world for the production of applied research with impact on the implementation of public policies; and the 5th in the world in the area of social policies. The School of Applied Mathematics at FGV is a growing department that aspires to be top ranked worldwide. It currently offers undergraduate, M.Sc. and PhD degrees in Applied Mathematics and Data Science. International collaborations and joint research projects are currently ongoing with several research institution in Europe and North America. FGV is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex (including gender identity), national origin, disability status, age, sexual orientation, or any other characteristic protected by law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population. ===================================== Alberto Paccanaro Professor in Machine Learning and Computational Biology Department of Computer Science, Royal Holloway, University of London & School of Applied Mathematics, Funda??o Getulio Vargas, Rio de Janeiro Lab page: www.paccanarolab.org This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. From eadeli at stanford.edu Sun May 28 22:02:41 2023 From: eadeli at stanford.edu (Ehsan Adeli) Date: Sun, 28 May 2023 19:02:41 -0700 Subject: Connectionists: Ambient Intelligence for Healthcare (AmI4HC2023) Workshop with MICCAI2023 - Deadline June 25 Message-ID: * Hi, The Ambient Intelligence for Healthcare (AmI4HC2023 https://ami4hc.stanford.edu ) Workshop will take place on Oct 8, 2023, in Vancouver,? Canada, in conjugation with MICCAI 2023. Link to Flyer . Ambient Intelligence (AmI) defines the future vision of intelligent computing where sensors and processors are embedded into everyday devices and the environment will seamlessly adapt to the user's requirements. AmI is increasingly seeing applications in healthcare (e.g., for quality improvement, senior care at home, ensuring clinician and patient safety by monitoring staff compliance with clinical best practices or relieving staff of burdensome documentation tasks). Despite the promise of ambient intelligence to improve the quality of care, the continuous collection of large amounts of sensor data in healthcare settings presents numerous challenges from sensor technologies, data management, technical model development, and causal inference to ethical, privacy, bias, and fairness. This workshop aims to shed light on this novel technology. This workshop will have a joint program with the Affective Intelligence for Computer-Assisted Interventions (AICAI )workshop. Topics of interest include (but are not limited to): * Intelligent Environments for Healthcare * Integration of Ambient Sensors with Medical Imaging, Radiology, or Neuroscience * Ambient Intelligence in Hospital Spaces * Ambient Intelligence in Daily Living Spaces * Behavior Recognition in Complex Scenes * Learning with Big Data * Causal Inference and Causal Reinforcement Learning for Healthcare * Computational Neurorehabilitation * Rare Event Detection (e.g., falls) * Generalization to New Environments * Pervasive Computing * Unobstructed Embedded Devices * Sensors and User Interfaces * Context Awareness * Human Activity Recognition * Human Location and Pose Recovery in Physical Spaces * (Semi-)Automated Orofacial Assessment * Health or Safety Monitoring * Assessment of Depression or Anxiety * Adaptive Rehabilitation Technologies * Longitudinal (Remote) Monitoring of Symptoms * Automating Critical Care Support * Reducing Patient Waiting Time * Monitoring Vital Signs * Diagnosis and Care in Complicated Scenarios * Social and Ethical Challenges * Privacy in Computer Vision * Bias and Fairness Dates: Full Paper Submission Deadline: June 15, 2023 Notification of Acceptance:July 16, 2023 Keynote speakers: * Zakia Hammal, Carnegie Mellon University * Teodor Grantcharov, Stanford University * Tanveer Syeda-Mahmood, IBM Research Website: https://ami4hc.stanford.edu Paper submission:https://cmt3.research.microsoft.com/AmI4HC2023/ Thank you, *AmI4HC2023 Organizers* Ehsan Adeli, Stanford University Babak Taati, TRI, UHN? & University of Toronto James Cotton, Shirley Ryan AbilityLab & Northwestern University Itir ?nal Ertu?rul, Utrecht University Fei-Fei Li, Stanford University James Landay, Stanford University Anima Anandkumar, NVIDIA & CalTech Jeff Cohn, University of Pittsburgh & Carnegie Mellon University Nadia Berthouze, University College London * -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Mon May 29 05:41:09 2023 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Mon, 29 May 2023 11:41:09 +0200 Subject: Connectionists: Important Updates/Final CFP: MEDDOPLACE (place, location & travel NER/linking form health texts) Shared Task Message-ID: Important Updates/Final CFP: MEDDOPLACE (place, location & travel NER/linking form health texts) Shared Task - NEW: Annotation guidelines - English version released & generated corpus sample for English, French, Italian, Portuguese and Romanian. - NEW Guidelines English: https://zenodo.org/record/7928146 Info: - Web: https://temu.bsc.es/meddoplace/ - Registration: https://temu.bsc.es/meddoplace/registration - Data: https://zenodo.org/record/7707567 - Guidelines Spanish: https://zenodo.org/record/7775235 - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/13017 MOTIVATION Location information represents one of the most relevant types of entities for high impact practical NLP solutions, resulting in a variety of applications adapted to different languages, content types and text genres. We organize the MEDDOPLACE shared task (Medical Documents PLAce-related Content Extraction, part of the IberLEF/SEPLN2023 initiative) devoted to the recognition, normalization and classification of location and location-related concept mentions for high impact healthcare data mining scenarios. For this task we released the MEDDOPLACE corpus of clinical case texts in Spanish annotated with location-relevant entity mentions, following annotation guidelines and entity linking procedures. Practical impact: - Diagnosis & prognosis: Location information is important for the diagnosis or prognosis of some diseases that are more endemic to certain regions or particular geographical environments. - Health risk factors: Geolocation information can be a risk factor in case of exposure to radiation, work-related or environmental contaminants affecting patients health. - Mobility: Due to the increasing mobility of populations, detection of patients' travels and movements can improve early detection and tracing of infectious disease outbreaks, and thus enable taking preventive measurements. The expected results and resources show a multilingual adaptation potential and impact beyond healthcare (e.g. adaptation to tourism/traveling-related content or legal texts). TASKS SUBTRACKS: 1. Location Entity Recognition: detect exact character offsets of all location & location-related mentions. 2. Geographic Entity Normalization (Geocoding/Entity Linking): for entity mentions, normalize them to their GeoNames (Toponym Resolution), PlusCodes (POIs Toponym Resolution) & SNOMED CT (Entity Linking) concept, depending on entity type. 3. Entity Subclassification: Classification of entity mentions into four subcategories of clinical relevance (patient?s origin place; residence?s location; place where the patient has traveled to/from; place where the patient has received medical attention) 4. End-to-End: Participant systems are evaluated in all three tasks above sequentially instead of being evaluated on their own. Publications & workshop Teams participating will be invited to contribute a systems description paper for the IberLEF (SEPLN 2023) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2023 workshop, see: https://temu.bsc.es/meddoplace/publications/. Tentative Schedule: - End of evaluation Phase 1: May 31st, 2023 - End of evaluation Phase 2: June 12th, 2023 - Working papers submission: June 14th, 2023 - Notification of acceptance (peer-reviews): June 26th, 2023 - Camera-ready system descriptions: July 5th, 2023 - IberLEF @ SEPLN 2023: September 27th-29th, 2023 Organizers: - Martin Krallinger, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Eul?lia Farr?, Barcelona Supercomputing Center, Spain - Luis Gasc?, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue May 30 04:17:22 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 30 May 2023 10:17:22 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023 Message-ID: *12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera , France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* ? Michael Bronstein University of Oxford UK ? Kathleen Carley Carnegie Mellon University USA ? Manlio De Domenico University of Padua Italy ? Danai Koutra University of Michigan USA ? Romualdo Pastor-Satorras Univ. Polit?cnica de Catalunya Spain ? Tao Zhou USTC China *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) -------------- next part -------------- An HTML attachment was scrubbed... URL: From watanabe at sys.t.u-tokyo.ac.jp Tue May 30 05:34:09 2023 From: watanabe at sys.t.u-tokyo.ac.jp (=?UTF-8?B?5rih6YKJIOato+WzsA==?=) Date: Tue, 30 May 2023 18:34:09 +0900 Subject: Connectionists: Master's/PhD positions in computational/experimental neuroscience at University of Tokyo Message-ID: Hi Everyone, Master?s and PhD positions available in computational/experimental neuroscience on ?Unraveling the Neural Mechanism of Consciousness via Development and Testing of Machine Consciousness? at Tokyo University, School of Engineering, Dept. of Systems Innovation. For further details, please contact Associate Prof. Masataka Watanabe ( watanabe at sys.t.u-tokyo.ac.jp). Starting date: 2023 October/2024 April Supervisor: Masataka Watanabe (MW), Associate Professor at University of Tokyo, School of Engineering. Keywords: Consciousness, Subjective Experience, Artificial Consciousness, Brain Machine Interface, Spiking Neural Networks Related Links: A book from MW ?From Biological to Artificial Consciousness? (Springer) 2022 https://link.springer.com/book/10.1007/978-3-030-91138-6 TEDx U-Tokyo Talk by MW https://www.youtube.com/watch?v=a2wb1p0sN7k Details on admission https://www.sys.t.u-tokyo.ac.jp/en/admissions/regularadmission/?lang=en ?Foreign students who have obtained their bachelor?s degree outside of Japan would qualify for Special Admission with benefits? Tentative Laboratory Web Page https://sites.google.com/view/watanaberesearchlab/home (official:https://www.sys.t.u-tokyo.ac.jp/en/memberpage/3366/?lang=en ) The aim of the project ?Unraveling the Neural Mechanism of Consciousness via Development and Testing of Machine Consciousness? is to 1) Research and Development of Machine Consciousness Develop a large-scale spiking neural network as a candidate system of machine consciousness. Utilize discrete synaptic connections obtained from invasive connectome projects as initial weights. As a working hypothesis, determine a system architecture (e.g. generative model) and train the network according to the loss functions defined by it. Validate the final product using objective measures such as network function (e.g. visual recognition) and network dynamics (e.g. similarity to noisy neural dynamics observed in mammal brains). 2) Developing a Test for Machine Consciousness: integration of biological and mechanical brain hemispheres Since it is impossible to test machine consciousness through external observation or investigation of internal mechanisms using objective measures, only one method remains: making use of subjectivity. We need to connect our own brains to the machine and ?see? for ourselves whether consciousness resides within. By making use of the ?master-master? configuration of visual consciousness in our two biological hemispheres, we replace one of our hemispheres with a mechanical hemisphere. If we subjectively experience the machine visual field, we must conclude that a stream of visual consciousness has genuinely emerged in the mechanical hemisphere. 3) Developing a Radically New Type of Brain-Machine Interface that Reads and Writes from Nerve Bundle Sections: The key to the approach is a totally new type of BMI that enables reading and writing information with unprecedented precision. The best part of the brain to tap into is the three neural fibres that connect the two cortical hemispheres, namely, the corpus callosum, the anterior commissure, and the posterior commissure. I proposes dissecting the three neural fibres and inserting a CMOS based, double-sided two-dimensional electrode array. Importantly, it would be coated with biological tissue to provide a target for he dissected axons to regenerate onto and firmly attach to the interface surface. The objective is to read from and write into all of the axons required to integrate the two potentially independent streams of consciousness. Importantly, due to the critical problems suggested by Histed, Bonin and Reid (Neuron, 2009), regarding writing information with conventional electrodes placed in the grey matter, the proposed brain?machine interface is likely the only plausible method for the brain to sufficiently communicate with artificial devices. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue May 30 07:21:54 2023 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 30 May 2023 12:21:54 +0100 Subject: Connectionists: CFP [Extended Deadline]: Discovery Science (DS 2023) - Abstract: June 3; Full Paper: June 10 Message-ID: -------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- CALL FOR PAPERS DS 2023 Discovery Science Conference Website link: https://ds2023.inesctec.pt/ October 9-11, 2023, Porto, Portugal -------------------------------------------------------------------------------- Special Issue -------------------------------------------------------------------------------- The authors of a number of selected papers presented at DS 2023 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. -------------------------------------------------------------------------------- Award -------------------------------------------------------------------------------- There will be a Best Student Paper Award in the value of 555 Eur sponsored by Springer. -------------------------------------------------------------------------------- Aims and Scope -------------------------------------------------------------------------------- Discovery Science 2023 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of artificial intelligence methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: -Artificial intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science -Machine learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. -Knowledge discovery and data mining -Causal modeling -AutoML, meta-learning, planning to learn -Machine learning and high-performance computing, grid and cloud computing -Literature-based discovery -Ontologies for science, including the representation and annotation of datasets and domain knowledge -Explainable AI, interpretability of machine learning and deep learning models -Process discovery and analysis -Computational creativity -Anomaly detection and outlier detection -Data streams, evolving data, change detection, concept drift, model maintenance -Network analysis -Time-series analysis -Learning from complex data -Graphs, networks, linked and relational data -Spatial, temporal and spatiotemporal data -Unstructured data, including textual and web data -Multimedia data -Data and knowledge visualization -Human-machine interaction for knowledge discovery and management -Evaluation of models and predictions in discovery setting -Machine learning and cybersecurity -Applications of the above techniques in scientific domains, such as -Physical sciences (e.g., materials sciences, particle physics) -Life sciences (e.g., systems biology/systems medicine) -Environmental sciences -Natural and social sciences -------------------------------------------------------------------------------- Important Dates -------------------------------------------------------------------------------- Abstract Submission: ** June 3, 2023 ** Full Paper submission: ** June 10, 2023 ** Notification of acceptance: July 21, 2023 Camera ready version, author registration: August 6, 2023 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) -------------------------------------------------------------------------------- Submission procedure -------------------------------------------------------------------------------- Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 10-12 pages in LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2023. Submission System link: https://cmt3.research.microsoft.com/DS2023 Conference Management Toolkit - Login cmt3.research.microsoft.com Microsoft's Conference Management Toolkit is a hosted academic conference management system. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. -------------------------------------------------------------------------------- Venue -------------------------------------------------------------------------------- DS 2023 will be held in October 9-11, 2023 in Porto, Portugal. The conference will take place in Sheraton Hotel, Porto, Portugal. -------------------------------------------------------------------------------- Organizing Committee -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- General Chairs -------------------------------------------------------------------------------- Jo?o Gama - University of Porto, Portugal Pedro Henriques Abreu ? University of Coimbra, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Program Chairs -------------------------------------------------------------------------------- Albert Bifet - University of Waikato, New Zealand Ana Carolina Lorena ? Aeronautics Institute of Technology, Brazil Rita P. Ribeiro ? University of Porto, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Steering Committee Chair -------------------------------------------------------------------------------- Saso Dzeroski ? Jozef Stefan Institute, Slovenia -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Publicity Chair -------------------------------------------------------------------------------- Carlos Abreu Ferreira ? Polytechnic Institute of Porto, Portugal Ricardo Cerri ? Federal University of S?o Carlos, Brazil Wenbin Zhang ? University of Michigan Technological, USA -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Local Organization Committee -------------------------------------------------------------------------------- Bruno Veloso ? University Portucalense, Portugal Joana Cristo Santos ? University of Coimbra, Portugal Jos? Pereira Amorim ? University of Coimbra, Portugal Miriam Seoane Santos ? University of Coimbra, Portugal Ricardo Cardoso Pereira ? University of Coimbra, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Contacts -------------------------------------------------------------------------------- Organizing Committee Contact Person: Pedro Henriques Abreu - University of Coimbra, Portugal ? pha at dei.uc.pt -------------------------------------------------------------------------------- Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From ioannakoroni at csd.auth.gr Tue May 30 05:31:55 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 30 May 2023 12:31:55 +0300 Subject: Connectionists: Live e-Lecture by Prof. Pascale Fung: "Safer Generative ConvAI", 1 June 2023, 15:00 CET References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr> <004301d8d3df$32189830$9649c890$@csd.auth.gr> <01f801d90491$e300a6a0$a901f3e0$@csd.auth.gr> <005601d9049a$e6235450$b269fcf0$@csd.auth.gr> <0be601d93d20$8e207580$aa616080$@csd.auth.gr> <00b601d93d24$03426460$09c72d20$@csd.auth.gr> <151301d94c22$3d162200$b7426600$@csd.auth.gr> <00a001d94c25$1900e410$4b02ac30$@csd.auth.gr> <002701d98311$72be0a00$583a1e00$@csd.auth.gr> Message-ID: <0b7d01d992d9$9397fbf0$bac7f3d0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Pascale Fung, a prominent AI researcher internationally, will deliver the e-lecture: ?Safer Generative ConvAI?, on June 1st, 2023 15:00 CET, see details in: http://www.i-aida.org/ai-lectures/ For connecting one needs to fill in this form: https://www.hitz.eus/en/webinar_izenematea The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Other upcoming lecture: Professor Dr. Matthew Gombolay: ?Explainable and Interactive Robot Learning Systems?, on June 7th, 2023, 2pm CEST. More lecture info in: https://www.i-aida.org/events/explainable-and-interactive-robot-learning-systems/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, , J. Stefanowski Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Tue May 30 16:35:01 2023 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 30 May 2023 16:35:01 -0400 Subject: Connectionists: last call for 2023 NEURON Summer Course Message-ID: <9ff1672f-0304-a7bb-b4c4-db0ed620c8f2@yale.edu> A very few seats remain available for the 2023 NEURON Summer Course, but if you are interested you'll have to act fast because the last day to sign up is Friday, June 2--just three days from now. This year's course will be held at the Dayton campus of Wright State University from Sunday, June 11 through Friday, June 16. It is suitable for individuals at all levels of expertise from beginner to established computational neuroscientist, and no prior experience with NEURON is necessary. The course provides a thorough introduction to computational modeling of neurons and networks with NEURON through a combination of lectures, hands on exercises, and special topic workshops. For more information and the on-line application form, see The 2023 NEURON Summer Course --Ted -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Tue May 30 11:11:18 2023 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 30 May 2023 15:11:18 +0000 Subject: Connectionists: Survey of user experiences in modeling Message-ID: Dear Colleagues, Our NIH BRAIN Initiative-sponsored project (1U24NS124001) is conducting an annual survey of the needs and experiences of users in neuroscience modeling. Would you be so kind to help us by filling out this brief survey? https://www.surveymonkey.com/r/2023NeuralModelingSoftware It will take only 5 minutes, and the results will help guide future development of software and documentation for the community. Whether you use our tools or not, an expert or novice in modeling, we?d love to hear from you! Thank you so much. If you have any questions, please feel free to reach out by email. Best regards, Anton. Anton Arkhipov Investigator E: antona at alleninstitute.org [Text Description automatically generated] alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 26603 bytes Desc: image001.png URL: From jkrichma at uci.edu Tue May 30 17:30:24 2023 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Tue, 30 May 2023 14:30:24 -0700 Subject: Connectionists: Sentient AI Survey Results Message-ID: Dear Connectionists, I am teaching an undergraduate course on ?AI in Culture and Media?. Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics. After the debate, around 70 students filled out a survey responding to these questions. Q1: Do you think it is possible to build conscious or sentient AI? 65% answered yes. Q2: Do you think we should build conscious or sentient AI? 22% answered yes Q3: Do you think AI should have rights? 54% answered yes I thought many of you would find this interesting. And my students would like to hear your views on the topic. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/ From suashdeb at gmail.com Tue May 30 13:23:11 2023 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 30 May 2023 22:53:11 +0530 Subject: Connectionists: ISCMI 2023 Submission deadline exactly 1 month away Message-ID: Dear esteemed colleagues, Warmest greetings to all of you. This is to share with you that the deadline for submission of manuscripts for 2023 10th ISCMI is exactly 1 month away Hope if not already, you will do the needful and submit your own papers in the coming days. For information about conference proceedings and spl. issue of SCIE indexed journal, pls. visit the conference website http://www.iscmi.us Thanks and regards, Suash Deb General Chair, ISCMI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue May 30 11:34:35 2023 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 30 May 2023 15:34:35 +0000 Subject: Connectionists: NEURAL NETWORKS, June 2023 Message-ID: Neural Networks - Volume 163, June 2023 https://www.journals.elsevier.com/neural-networks An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry Simone Coppolino, Michele Migliore Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators Meysam Hashemi, Anirudh N. Vattikonda, Jayant Jha, Viktor Sip, ... Viktor K. Jirsa A novel semi-supervised meta learning method for subject-transfer brain-computer interface Jingcong Li, Fei Wang, Haiyun Huang, Feifei Qi, Jiahui Pan Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, ... David Mcalpine Few-shot human-object interaction video recognition with transformers Qiyue Li, Xuemei Xie, Jin Zhang, Guangming Shi Multi-level Feature Interaction and Efficient Non-Local Information Enhanced Channel Attention for image dehazing Hang Sun, Bohui Li, Zhiping Dan, Wei Hu, ... Jun Wan Generalized zero-shot domain adaptation via coupled conditional variational autoencoders Qian Wang, Toby P. Breckon DropAGG: Robust Graph Neural Networks via Drop Aggregation Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Bin Luo Meta attention for Off-Policy Actor-Critic Jiateng Huang, Wanrong Huang, Long Lan, Dan Wu An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse Fatemeh Daneshfar, Mohammad (Behdad) Jamshidi Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, ... Ming Zhang Few-shot remote sensing image scene classification based on multiscale covariance metric network (MCMNet) Xiliang Chen, Guobin Zhu, Mingqing Liu, Zhaotong Chen Online continual learning with declarative memory Zhe Xiao, Zhekai Du, Ruijin Wang, Ruimeng Gan, Jingjing Li Graph contrastive learning with implicit augmentations Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, ... Junbin Gao Lifelong learning with Shared and Private Latent Representations learned through synaptic intelligence Yang Yang, Jie Huang, Dexiu Hu Robust data hiding for JPEG images with invertible neural network Fei Shang, Yuhang Lan, Jianhua Yang, Enping Li, Xiangui Kang Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss Cheng Huang, Jinrong Cui, Yulu Fu, Dong Huang, ... Lusi Li On the value of label and semantic information in domain generalization Fan Zhou, Yuyi Chen, Shichun Yang, Boyu Wang, Brahim Chaib-draa Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors Jialiang Sun, Wen Yao, Tingsong Jiang, Donghua Wang, Xiaoqian Chen Learning long-term motor timing/patterns on an orthogonal basis in random neural networks Yuji Kawai, Jihoon Park, Ichiro Tsuda, Minoru Asada Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto Exploring personalization via federated representation Learning on non-IID data Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, ... Xinghao Ding Remix: Towards the transferability of adversarial examples Hongzhi Zhao, Lingguang Hao, Kuangrong Hao, Bing Wei, Xin Cai Adaptive fixed-time output synchronization for complex dynamical networks with multi-weights Yuting Cao, Linhao Zhao, Qishui Zhong, Shiping Wen, ... Tingwen Huang Fixed/prescribed-time synchronization of BAM memristive neural networks with time-varying delays via convex analysis Jinrong Yang, Guici Chen, Song Zhu, Shiping Wen, Junhao Hu Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem Dongshu Wang, Luke Li Resilient fixed-time stabilization of switched neural networks subjected to impulsive deception attacks Yuangui Bao, Yijun Zhang, Baoyong Zhang Dynamic event-triggered controller design for nonlinear systems: Reinforcement learning strategy Zichen Wang, Xin Wang, Ning Pang Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection Dehui Zhu, Bo Du, Meiqi Hu, Yanni Dong, Liangpei Zhang Robust fall detection in video surveillance based on weakly supervised learning Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, ... Min Zhang Adams-based hierarchical features fusion network for image dehazing Shibai Yin, Shuhao Hu, Yibin Wang, Weixing Wang, Yee-Hong Yang -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Tue May 30 12:44:45 2023 From: ksharma.raj at gmail.com (Raj Sharma) Date: Tue, 30 May 2023 22:14:45 +0530 Subject: Connectionists: Second Call for Papers & Proposals: CODS-COMAD 2024 Message-ID: *Apologies if you received multiple copies of this email --------------------------------------------------------------------------------------------------- *CODS-COMAD 2024* 11th ACM IKDD CODS and 29th COMAD 7th Joint International Conference on Data Science & Management of Data January 4-7, 2024 | IIIT Bangalore | Physical Conference https://cods-comad.in/ ---------------------------------------------------------------------------------------------------- We are pleased to announce The 7th Joint International Conference on Data Sciences and Management of Data (CODS-COMAD) to be held in Bangalore, India, on January 4-7, 2024 as a fully physical conference. CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 7th time as a common conference bringing together the COMAD and the CODS communities, the conference invites researchers in the field of databases, data sciences and their applications to submit their original work. - CALL FOR PAPERS - RESEARCH TRACK The research track invites full as well as short papers describing innovative and original research contributions in the areas of data science, data management, data mining, machine learning, and artificial intelligence. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking. The goal of the short papers is to provide a venue for innovative ideas such as engineered solutions, exciting work-in-progress or even negative results that would be interesting to the broader community. Accepted long papers will get an opportunity to showcase their work as oral and poster presentation while short papers will get a poster slot in the conference program. For more details visit: https://cods-comad.in/call-for-research-track-papers.php APPLIED DATA SCIENCE TRACK The Applied Data Sciences (ADS) track invites both full as well as short papers describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems. Technical approaches can include data science, data mining, applied machine learning, testing and governance of data science models and solutions, and practical MLOps approaches. Accepted papers will be given the opportunity to present their work in the conference. For more details, visit: https://cods-comad.in/call-for-applied-data-science-track-papers.php TUTORIALS Tutorials at CODS-COMAD offer a platform to showcase state-of-the-art tools and technologies to support research, development and applications of data systems, data science, data management and platforms, data-driven applications, ethics of data science etc. We solicit tutorial proposals on all topics of interest to the CODS-COMAD conference. For more details, visit: https://cods-comad.in/call-for-tutorial-proposals.php DEMO TRACK The demonstration (demo) track invites submissions from the academia and the industry where a live or pre-recorded demonstration of the proposed software system, prototype, conceptual design or library adds significant value to the dissemination potential of the work. The demo should be the result of original innovative work including solving novel technical or research problems and/or creating novel UI/UX. For more details, visit: https://cods-comad.in/call-for-demo-track-papers.php YOUNG RESEARCHERS' SYMPOSIUM The Young Researchers' Symposium invites submissions from students and postdoctoral fellows. This is a unique opportunity for young researchers to have fruitful peer-to-peer discussions and to get feedback from leading senior researchers about their current research work. The YRS forum this year also includes a PhD clinic session (see below) where young researchers will be paired with senior mentors to enable personalised mentoring. For more details, visit: https://cods-comad.in/call-for-young-researchers-symposium-papers.php DIVERSITY AND INCLUSION TRACK - Data Science for Inclusivity Diversity and Inclusion track invites extended abstract for a participatory workshop where the intent is to increase awareness about the role of data science to ensure a better future. As data-driven decision making influences almost all spheres of our lives, it is imperative to focus on relevant data science problems and methods that address diversity and inclusion issues. For more details, visit: https://cods-comad.in/call-for-diversity-and-inclusion-track.php DATA CHALLENGE PROPOSALS The conference invites individuals or industry/academic groups to send their proposals for the CODS-COMAD 2024 Data Challenge. This challenge aims to be a premier annual Data Sciences & Data Mining competition held as part of the annual CODS-COMAD conference. The Data Challenge is anticipated to last for three months. The winners will be announced before the CODS-COMAD 2024 conference and they will receive their awards at the conference award ceremony. For more details, visit: https://cods-comad.in/call-for-data-challenge-proposals.php DIFFERENCE BETWEEN RESEARCH AND APPLIED DATA SCIENCE TRACK Check the link below to help you decide which track to submit your paper to. It is the authors? responsibility to submit their paper into the appropriate track. Papers that do not satisfy the requirements (e.g., a research track paper) might be rejected without a formal review. https://cods-comad.in/research-track-vs-applied-data-science-track.php IMPORTANT DATES - July 10, 2023: Abstract submission deadline - *July 15, 2023*: Proposal submission deadline for Data Challenge - July 17, 2023: Paper submission deadline - *July 25, 2024*: Decision notification for Data Challenge - September 11, 2023: First stage decision notifications (Accept/Reject/Revision) - September 15, 2023: Submission deadline in Demo and Young Researchers? Symposium Tracks - September 30, 2023: Abstract submission deadline in Diversity and Inclusion Track - October 11, 2023: Submission of revised papers - October 30, 2033: Notification of acceptance in Demo, Young Researchers? Symposium and Diversity & Inclusion Tracks - November 3, 2023: Final decision notifications (Accept/Reject) - November 30, 2023: Camera ready due PAPER SUBMISSION LINK https://easychair.org/conferences/?conf=codscomad2024 SUBMISSION INSTRUCTIONS AND POLICIES Detailed submission instructions, submission format, page limits, conflict of interest, dual submission, plagiarism and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/common-instructions-policies.php AWARDS Best paper in each track will be awarded. TRAVEL GRANTS Conference will provide travel assistance to a reasonable number of students whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course. ORGANIZING COMMITTEE General Chairs - Sriraam Natarajan (UT Dallas) - Indrajit Bhattacharya (TCS Research) PC Chairs (Research Track) - Richa Singh (IIT Jodhpur) - Arun Kumar (University of California, San Diego) PC Chairs (Applied Data Science Track) - Kalika Bali (Microsoft Research, India) - Sayan Ranu (IIT Delhi) Tutorial Chairs - Preethi Jyothi (IIT Bombay) - Biplav Srivastava (University of Southern California) Young Researchers' Symposium (YRS) Chairs - Ponnurangam Kumaraguru (IIIT Hyderabad) - Janardhan Rao (Jana) Doppa (Washington State University) Demo Chairs - Harshad Khadilkar (TCS Research) - Mayukh Das (Microsoft Research) Diversity & Inclusion Chairs - Sumeet Agarwal (IIT Delhi) - Lipika Dey (TCS Research) Data Challenge Chair - Atul Kumar (IBM Research, India) Proceedings Chair - Abinaya K (Flipkart) Publicity Chair - Raj Sharma (Walmart Global Tech) Student Travel Grants Chair - Md. Shad Akhtar (IIIT Delhi) Sponsorship Chairs - Shourya Roy (Flipkart) - Mukesh Mohania (IIIT Delhi) Local Organizing Chairs - Dinesh Babu Jayagopi (IIIT Bangalore) - Raj Sharma (Walmart Global Tech) Registration Chairs - Vinu EV (IIIT Bangalore) - Raghuram Bharadwaj (IIIT Bangalore) Finance Chairs - Chandrashekhar Sahasrabudhe (ACM India) - Abhijat Vichare (ACM India) -------------- next part -------------- An HTML attachment was scrubbed... URL: From smzhouy at gmail.com Wed May 31 06:52:37 2023 From: smzhouy at gmail.com (Shangming Zhou) Date: Wed, 31 May 2023 11:52:37 +0100 Subject: Connectionists: UK PhD Studentship in Mining Electronic Health Records to Identify Effective Dietetic Factors In-Reply-To: References: Message-ID: *Mining Routinely Collected Electronic Health Records to Identify Effective Dietetic Factors for Optimal Care in General Practice* DoS: Professor Shang-Ming Zhou (shangming.zhou at plymouth.ac.uk, tel.: 01752 586513) 2nd Supervisor: Professor Mary Hickson (mary.hickson at plymouth.ac.uk , tel.: 01752 587542) 3rd Supervisor: Dr Avril Collinson (avril.collinson at plymouth.ac.uk, tel.: 01752 588848) Applications are invited for a three-year PhD studentship. The studentship will start on 1st October 2023 or 01 January 2024 for the right candidate. *Project Description* The typical approach to dietetic work in primary care involves outreach clinics and educational initiatives that are provided by dietitians working in community or acute settings, or by offering dietetic clinics inside GP offices taking referrals from GPs. More recently, dietitians have been able to train to become first contact practitioners; a diagnostic clinician able to assess and manage undifferentiated and undiagnosed presentations. However, the ways in which these practitioners operate has yet to be defined and the role in dietetics is in its infancy and requires evaluation. The aims of this project are to interrogate multiples electronic health databases and build evidence on dietetic care in general practice. This study will enable the definition of what areas of general practice workload a dietitian can support and build evidence of dietary factors that influence disease risk and patterns of risk stratification. The funded PhD student will use statistics and machine learning techniques with data extracted from the electronic health records to generate evidence on dietetic care. *Eligibility* Applicants should have 1. A first or upper second-class honours degree in an appropriate subject or a relevant Masters qualification in Health Informatics, Medical Informatics, Bioinformatics, Health Data Science, Computing Science, Statistics, or any areas related; 2. Interest in working with real-world problems and large data sets; 3. Excellent proficiency in English and outstanding communication skills; 4. Strong analytical and programming skills; 5. A ?can do?, positive attitude with an aspiration to change the world. - Experience in machine learning is advantageous. - Experience in publication of peer-reviewed literature is desirable. If your first language is not English, you will need to meet the minimum English requirements for the programme, academic IELTS score of 6.5 or above (with no less than 5.5 in each component test area) or equivalent. *Funding* *To view the funding details*, please visit here . If you wish to discuss this project further informally, please contact Professor Shang-Ming Zhou via shangming.zhou at plymouth.ac.uk *To apply for this position *please click 'Apply' above. *Please clearly state the name of the DoS and the studentship title that you are applying for on the top of your Personal Statement.* Please see here for a list of supporting documents to upload with your application. - *Provision of a research proposal is advantageous.* For more information on the admissions process generally, please visit our How to Apply for a Research Degree webpage or contact the Doctoral College . *The closing date for applications is 12 noon on 31st July 2023.* Shortlisted candidates will be invited for interview shortly after the deadline. We regret that we may not be able to respond to all applications. Applicants who have not received a response within six weeks of the closing date should consider their application has been unsuccessful on this occasion. Funding Notes The studentship is supported for 3 years and includes full Home tuition fees plus a stipend of ?17,668 per annum 2022/23 rate (2023/24 rate TBC). The studentship will only fully fund those applicants who are eligible for Home fees with relevant qualifications. Applicants normally required to cover International fees will have to cover the difference between the Home and the International tuition fee rates (approximately ?12,697 per annum). NB: The studentship is supported for three years of the four-year registration period. The fourth year is a self-funded ?writing-up? year. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tt at cs.dal.ca Wed May 31 06:08:45 2023 From: tt at cs.dal.ca (Thomas Trappenberg) Date: Wed, 31 May 2023 07:08:45 -0300 Subject: Connectionists: Sentient AI Survey Results In-Reply-To: References: Message-ID: Thank you Jeff. Just because we call something intelligent does not mean that it is human. AI is a technology, and I have no idea what it means for it to have rights. Does my car should have rights? LLMs have no structure that supports consciousness, the human brain is very different. However, the debate we need now is how we respond to the new technological possibilities. Our society thinks we need a drivers license for a car, and we have stiff penalties for producing fake money. How should we address fake images or the increasing number of conspiracy theories? We now need to understand better what makes us humans and how we educate ourselves and our students on proper judgment and ethics. Cheers, Thomas On Wed, May 31, 2023 at 4:13?AM Jeffrey L Krichmar wrote: > Dear Connectionists, > > I am teaching an undergraduate course on ?AI in Culture and Media?. Most > students are in our Cognitive Sciences and Psychology programs. Last week > we had a discussion and debate on AI, Consciousness, and Machine Ethics. > After the debate, around 70 students filled out a survey responding to > these questions. > > Q1: Do you think it is possible to build conscious or sentient AI? 65% > answered yes. > Q2: Do you think we should build conscious or sentient AI? 22% > answered yes > Q3: Do you think AI should have rights? > 54% answered yes > > I thought many of you would find this interesting. And my students would > like to hear your views on the topic. > > Best regards, > > Jeff Krichmar > Department of Cognitive Sciences > 2328 Social & Behavioral Sciences Gateway > University of California, Irvine > Irvine, CA 92697-5100 > jkrichma at uci.edu > http://www.socsci.uci.edu/~jkrichma > > https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/ > > > > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From kai.sauerwald at fernuni-hagen.de Wed May 31 07:25:49 2023 From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald) Date: Wed, 31 May 2023 13:25:49 +0200 Subject: Connectionists: [CfP] 21st International Workshop on Nonmonotonic Reasoning (NMR 2023) -- deadline extended Message-ID: * Apologies if you receive multiple copies of this call * ======================================================================== Call for Papers (Deadline Extended) NMR 2023 September 2-4, 2023 Rhodes, Greece Co-located with KR 2023 * Deadlines: 9 June & 16 June 2023* ======================================================================== The 21st International Workshop on Nonmonotonic Reasoning (NMR) http://nmr.krportal.org/2023/ September 2-4, 2023, Rhodes, Greece ======================================================================== NMR 2023 will be co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023), https://kr.org/KR2023/. NMR is the premier forum for results in the area of nonmonotonic reasoning. Its aim is to bring together active researchers in this broad field within knowledge representation and reasoning (KRR), including belief revision, uncertain reasoning, reasoning about actions, planning, logic programming, preferences, deontic reasoning, argumentation, causality, and many other related topics including systems and applications (see NMR page, https://nmr.cs.tu-dortmund.de/). NMR has a long history - it started in 1984 and has been held every two years until 2020 and then every year. Recent previous NMR workshops were held in Haifa (2022), Hanoi (virtual, 2021), in Rhodes (virtual, 2020), Tempe (2018) and Cape Town (2016). Since 2020 NMR is being held annually. NMR workshops are usually co-located with the KR conferences (kr.org). As in previous editions, NMR 2023 aims to foster connections between the different subareas of nonmonotonic reasoning and provide a forum for emerging topics. We especially invite papers on systems and applications, as well as position papers and papers addressing benchmark issues. The workshop will be structured by topical sessions fitting to the scopes of accepted papers. The workshop will be held in Rhodes, Greece, in September 2-4, 2023. Workshop activities will include invited talks and presentations of technical papers. -- Invited Speakers -- * Diego Calvanese Free University of Bozen-Bolzano, Italy * Juha Kontinen University of Helsinki, Finland * Anni-Yasmin Turhan Dresden University of Technology, Germany The talk by Anni-Yasmin Turhan is a joint keynote with DL 2023. -- Submission Information -- There are two types of submissions: ** Full papers ** Full papers should be at most 10 pages including references, figures and appendices, if any. Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page and the submission at NMR falls within the authors? rights. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. ** Extended Abstracts ** Extended abstracts should be at most 3 pages. The abstracts should introduce work that has recently been published or is under review, or ongoing research at an advanced stage. We highly encourage attaching to the submission a preprint/postprint or a technical report. Such extra material will be read at the discretion of the reviewers. Submitting already published material may require a permission by the copyright holder. All submissions should be formatted in CEUR style (2-column style) without enabled header and footer. The author kit can be found at http://ceur-ws.org/Vol-XXX/CEURART.zip. Papers must be submitted in PDF only. Submission will be through the EasyChair conference system. Please submit via Easychair to: https://easychair.org/my/conference?conf=nmr2023 -- Workshop Proceedings -- The accepted papers will be made in informal proceedings available electronically in the CEUR Workshop Proceedings series (http://ceur-ws.org/). The copyright of papers remains with the authors. -- Student Grants -- A limited number of student grants will be made available, to support the students attending NMR 2023. Preference will be given to students that are going to present a paper at NMR and with limited access to funding. Details will be given on the NMR website. -- Important Dates -- All dates are 'Anywhere on Earth', namely 23:59 UTC-12. * Paper registration deadline: 9 June 2023 * Paper submission deadline: 16 June 2023 * Notification to authors: 17 July 2023 * Camera-ready version: 4 August 2023 * Workshop dates: 2-4 September 2023 -- Workshop Co-Chairs -- * Kai Sauerwald, FernUniversit?t in Hagen, Germany * Matthias Thimm, FernUniversit?t in Hagen, Germany -- Further Information -- Please visit the workshop website (http://nmr.krportal.org/2023/) for further information and regular updates. NMR 2023 will follow the same contingency plans as KR 2023 with regard to the effects of the global pandemic on international travel. See the KR 2023 website (https://kr.org/KR2023/) for the latest news. From maria.m.hedblom at gmail.com Wed May 31 08:31:29 2023 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Wed, 31 May 2023 14:31:29 +0200 Subject: Connectionists: Sentient AI Survey Results In-Reply-To: References: Message-ID: Hi Jeff That is a very interesting result. I will ask my students (in the next year, holidays start now) the same questions in a more explicit format (and not just as part of a classroom discussion). I guess, taking a more ethical perspective from the reasoning of the students, there is an interesting mismatch between the answers of Q1 and Q3. If they are sentient, why not give them rights? And as a follow up to that, perhaps the students should ask themselves what kind of rights they should have / not have. In regards to Q2, I must admit that I found this to be very low. I wonder what the motivations of the students were/are. Essentially, what were the ethical issues with endowing the AI with sentience that the students used to reason with? Are they thinking primarily from the perspective of the AI: that it would be unfair to them. OR is it rather a human perspective in which we question what consequences this has for humans? Having looked into these topics as a researcher it is easy to find the motivations for any answer, but it would be interesting to hear the intuitions the students have without the "biased knowledge" of us researchers. Either way, it's very interesting! Perhaps this is worth making as a more universal query to the students in AI, philosophy and cognitive science classes. :) Thanks for sharing! Maria Den ons 31 maj 2023 kl 09:22 skrev Jeffrey L Krichmar : > Dear Connectionists, > > I am teaching an undergraduate course on ?AI in Culture and Media?. Most > students are in our Cognitive Sciences and Psychology programs. Last week > we had a discussion and debate on AI, Consciousness, and Machine Ethics. > After the debate, around 70 students filled out a survey responding to > these questions. > > Q1: Do you think it is possible to build conscious or sentient AI? 65% > answered yes. > Q2: Do you think we should build conscious or sentient AI? 22% > answered yes > Q3: Do you think AI should have rights? > 54% answered yes > > I thought many of you would find this interesting. And my students would > like to hear your views on the topic. > > Best regards, > > Jeff Krichmar > Department of Cognitive Sciences > 2328 Social & Behavioral Sciences Gateway > University of California, Irvine > Irvine, CA 92697-5100 > jkrichma at uci.edu > http://www.socsci.uci.edu/~jkrichma > > https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/ > > > > > > -- Maria M. Hedblom www.mariamhedblom.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From tgd at oregonstate.edu Wed May 31 13:37:12 2023 From: tgd at oregonstate.edu (Dietterich, Thomas) Date: Wed, 31 May 2023 17:37:12 +0000 Subject: Connectionists: Sentient AI Survey Results In-Reply-To: References: Message-ID: My views: 1. I think we can build a conscious AI system if we define consciousness in terms of continuous self-awareness. Indeed, continuous self-monitoring is an important function of existing computer operating systems and data centers. We should build these functions into our systems to detect failures and prevent errors. 2. Regarding rights, there is no clear definition of an AI system the way there is an obvious definition of a human being or a dog. An AI system may not even have a definite location or body, for example, because it is code that is running simultaneously on data centers around the world or in a constellation of satellites in earth orbit. An AI system may be placed into a suspended state and then restarted (or restarted from a previous checkpoint). What would it mean, for example, for such systems to a have a right to bodily autonomy? Wouldn't it be ok to suspend them as long as they could be "revived" later? Even people go to sleep and thereby go through time periods when they lack continuous awareness. I think an interesting set of ideas come from Strawson's famous essay on Freedom and Resentment. Perhaps, as AI systems continue to develop, we will come to treat some of them as moral agents responsible for their actions. We will resent them when they act with bad intentions and feel warmly toward them when they act with our best interests in mind. Such socially-competent agents that act with deep understanding of human society might deserve rights because of the harms to society that would arise if they were not given those protections. In short, the decision to grant rights (and which rights) will depend on society's evolving attitude toward these systems and their behavior. --Tom Dietterich Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559 School of Electrical Engineering FAX: 541-737-1300 and Computer Science URL: eecs.oregonstate.edu/~tgd US Mail: 1148 Kelley Engineering Center Office: 2067 Kelley Engineering Center Oregon State Univ., Corvallis, OR 97331-5501 -----Original Message----- From: Connectionists On Behalf Of Jeffrey L Krichmar Sent: Tuesday, May 30, 2023 14:30 To: connectionists at cs.cmu.edu Subject: Connectionists: Sentient AI Survey Results [This email originated from outside of OSU. Use caution with links and attachments.] Dear Connectionists, I am teaching an undergraduate course on "AI in Culture and Media". Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics. After the debate, around 70 students filled out a survey responding to these questions. Q1: Do you think it is possible to build conscious or sentient AI? 65% answered yes. Q2: Do you think we should build conscious or sentient AI? 22% answered yes Q3: Do you think AI should have rights? 54% answered yes I thought many of you would find this interesting. And my students would like to hear your views on the topic. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/ From vincentthunder2011 at gmail.com Wed May 31 11:49:19 2023 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Wed, 31 May 2023 23:49:19 +0800 Subject: Connectionists: [Deadline Extended] IEEE ICT-DM 2023, Cosenza, Italy - Sept. 13-15, 2023 Message-ID: [Our apologies for multiple copies of this email] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The 8th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) - Cosenza, Italy, 13-15 September 2023 https://ict-dm2023.inria.fr/index.html %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Track 4: Crowdsourcing and social media for disaster & crisis management https://ict-dm2023.inria.fr/tracks/four.html Scope: Natural disasters like flooding and earthquakes, as well as terrorism attacks and industrial disasters, should be dealt with in a fast and effective manner. In such scenarios, first responders, news agencies and the victims are used to exploit social media as a first ?communication channel? to disseminate situational information in a reliable way, reaching a huge pool of users. Similarly, crowdsourcing applications engage user communities in emergency response and disaster management for natural hazards. However, some drawbacks may occur in such social tools, thus limiting authorities and disaster management stakeholders to use social media data to make decisions. As an instance, social media crowdsourcing data should be georeferenced to improve situational awareness, and the positioning error should be very low. In addition, social media data should be merged with other external data sources and authoritative data to establish geographic relationships between the disaster event and social media messages. Also, the dissemination of a message should occur between trusted and reliable nodes, in order to be sure the disseminated information is secure. As a solution, the main goal is to handle a set of learning materials such as methods, tools and guidelines on the use of social media and crowdsourcing in disasters in an effective manner, especially for what concerns security and trustworthiness of data information. So, this track wants to stimulate the scientific community to propose new technical studies that may address different topics such as: - Secure and reliable communications in social media and crowdsourcing for disaster & crisis management - Opportunistic data dissemination in social media and crowdsourcing tools - Network architectures for social media and crowdsourcing - Machine learning techniques in social media and crowdsourcing for disaster & crisis management - Energy harvesting, storage, recycling, and wireless power transfer for social IoTs in disaster and crisis - Fog/edge computing and social IoT convergent services, systems, infrastructure, and techniques for disaster and crisis management - Agile, intelligent, and resilient aerial (swarm) social-inspired communications and control in disaster crisis - Localization and positioning with social IoT in disaster/crisis areas - Social-aware self-organizing network optimization for efficient crowdsourcing in mobile social networks - Security, privacy, and trust in social IoT-assisted disaster/crisis management systems - Disaster/crisis data aggregation, dissemination, collection, and mining via crowdsourcing and social media in multi-hop heterogeneous networks - Crowdsourcing, gamification, and social media incentivization for natural hazard prevention, mitigation, and management - Real-time query processing, data fusion, and event summarization for multi-source disaster data and social media - Big data analysis, AI and machine/deep learning models with Age of Information (AoI) in crowdsourcing and social media analysis - Innovative crowdsourcing applications and social network services for disaster and crisis management Track Chair Anna Maria Vegni, University of Roma Tre, Italy De-Nian Yang, Institute of Information Science, Academia Sinica, Taiwan Important dates Full/short paper submission: June 7, 2023 (extended) Acceptance notification: July 23, 2023 Camera ready: August 20, 2023 -------------- next part -------------- An HTML attachment was scrubbed... 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