From lmuller2 at uwo.ca Thu Jul 1 00:39:08 2021 From: lmuller2 at uwo.ca (Lyle Muller) Date: Thu, 1 Jul 2021 04:39:08 +0000 Subject: Connectionists: Western-Fields Seminar Series | Bard Ermentrout Message-ID: <91DD1616-CA86-4CED-B90D-1125250D9102@uwo.ca> The fourth talk in the 2021 Western-Fields Seminar Series in Networks, Random Graphs, and Neuroscience (http://www.fields.utoronto.ca/activities/21-22/western-fields) is next Thursday (8 July) at noon EDT. Bard Ermentrout (U Pittsburgh, https://www.pitt.edu/~phase) will give a talk titled ?Dynamics and patterns on graphs: Emergence of topological waves? (abstract below). Dr. Ermentrout is a leader in mathematical biology and applications of nonlinear dynamics to biological problems, from recurrent activity to oscillations and waves in a variety of neural systems. This seminar series features monthly virtual talks from a diverse group of researchers across machine learning, physics, and graph theory. Upcoming speakers include Todd Coleman (University of California, San Diego), Krystal Guo (University of Amsterdam), Alexander Lubotzky (Hebrew University of Jerusalem), Frances Skinner (Krembil Institute), and more. Registration link: https://zoom.us/meeting/register/tJYuf-GppzkjHt0W5HMDpME2UpUiE7ntO5JS ? Abstract: Rotating waves and similar non-synchronized patterns are often seen in large-scale local field potential (LFP) data. It is now increasingly clear that these patterns and other waves are the norm. In typical experiments, the LFP is band-pass filtered and the local phase is extracted from each electrode. The phase-gradients are then extracted with the result a spatial pattern of phases. Here I will start with a graph with $N$ nodes and an adjacency matrix that determines which nodes are connected to each other. At each node, I assume that the dynamics is oscillatory and governed by a simple phase-model: d theta_j/dt = w_j + sum_k A_jk H(theta_k-theta_j) where w_j is the natural frequency, H(phi) is an interaction function, and A_jk is the adjacency matrix for the graph. I will assume w_j=1, H(0)=0, H'(0)>0 so that synchrony (theta_j = t) is a stable solution. In this talk I will ask what requirements there are on A such that there are other stable attractors. These are typically patterns of phases that are organized about some local topological phase-singularity. I will explore aspects of the graphs and methods to assign initial data to find these patterns. I will first look at cubic graphs where we have fairly complete results for N<20 nodes. I will also look at simple lattices (hexagonal and square), where we can construct rotating waves for N large. -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jul 1 04:29:13 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 1 Jul 2021 11:29:13 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Bernhard_Sch?= =?utf-8?b?w7Zsa29wZjog4oCcU3ltYm9saWMsIFN0YXRpc3RpY2FsLCBhbmQgQ2F1?= =?utf-8?q?sal_Representations=E2=80=9D=2C_13th_July_2021_17=3A00-1?= =?utf-8?q?8=3A00_CET=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <00e701d76da9$e4a15d40$ade417c0$@csd.auth.gr> <001301d76dad$e5447e40$afcd7ac0$@csd.auth.gr> Message-ID: <067701d76e53$2cde0e10$869a2a30$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Bernhard Sch?lkopf is the Director of the Max Planck Institute for Intelligent Systems in T?bingen, Germany and holds a Professorship at ETH Zurich, Switzerland. This prominent AI researcher internationally, will deliver the e-lecture: ?Symbolic, Statistical, and Causal Representations?, on Tuesday 13th July 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/event_cat/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/93712449902 & Password: 148148 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) This is the last lecture from a series of successful lectures by AIDA and the next round of lectures will start in September 2021. The 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. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Thu Jul 1 05:36:42 2021 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 1 Jul 2021 15:06:42 +0530 Subject: Connectionists: Extension of deadline (ISCMI 2021) Message-ID: Dear friends & esteemed colleagues, How are you? Trust you are doing well. Pls. stay vigilant and take utmost care. This is to share with you that on numerous requests, the deadline for submissions for ISCMI 2021 has been extended by *one more month (30th July) *http://iscmi.us Hope this will enable you to a great extent to submit your own manuscripts as well as motivate your peers to follow suit. Best rgds, Suash General Chair, ISCMI21 -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Thu Jul 1 05:00:01 2021 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Thu, 1 Jul 2021 11:00:01 +0200 (CEST) Subject: Connectionists: Extended deadline (August 31st, 2021) OSNEM Special Issue: Online Social Networks and Media: human behaviour under big data microscopes Message-ID: <20210701090001.71B501630086@magneto.iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on Online Social Networks and Media: human behaviour under big data microscopes ****** EXTENDED SUBMISSION DEADLINE ******** Submission Deadline: August 31st, 2021 ******************************************** https://www.journals.elsevier.com/online-social-networks-and-media ------------------------------------------------------------------------------ Online Social Networks and Media are a fundamental component of the cyber-physical convergences, representing one of the main bridges between the human behaviour across the physical and virtual worlds. Therefore, the ???trails??? users leave behind while using OSNEM can be mined, via big data analytics and AI, to characterize individual and social human behaviours at an unprecedented scale. Moreover, the speed at which events can be detected via OSNEM data analysis makes OSNEM a prime way to monitor the evolution of human behaviours and nowcast their development and consequences in both the physical and virtual worlds. For example, OSNEM can be used to shed light, through big data analysis, on the diffusion of COVID-19 in the real world. This special issue seeks contributions pushing the state of the art in all facets of the use of OSNEM as big data microscopes to investigate complex human individual and social behaviours. We solicit manuscripts presenting quantitative analysis and modelling based on BigData collected from OSNEM. Within this framework, topics include, but are not limited to: - Analysis of social structures via OSNEM - Analysis and modelling of information and opinion dynamics in OSNEM - Early detection of critical phenomena in the cyber and physical worlds - Prediction of (near-)future events based on OSNEM data analysis - OSNEM monitoring and analysis for the protection of users and critical infrastructures - Mobility characterization and modelling - Characterisation of users??? behaviour in smart cities - OSNEM data-driven approaches to study COVID-19 related phenomena - Pandemic tracking and control via OSNEM big data analysis - Models of individual and social behaviour through OSNEM big data during the pandemic - OSNEM users??? characterization for mass customization of products and services - Analysis of large social phenomena (e.g., political movements) via OSNEM big data - Privacy-preserving big data analytics for human behaviour characterisation - Efficient methodologies for large-scale OSNEM data collection and analysis Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: August 31st, 2021 First notification: October 31th, 2021 Expected publication: Q4, 2021 - Q1, 2022 Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select ''VSI:big data microscope'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ''big data microscope''. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at osnem at iit.cnr.it From clpesquita at fc.ul.pt Thu Jul 1 05:02:36 2021 From: clpesquita at fc.ul.pt (Catia Pesquita) Date: Thu, 1 Jul 2021 10:02:36 +0100 Subject: Connectionists: =?utf-8?q?2nd_CfP_VOILA_=E2=80=8B2021_-_Visualiza?= =?utf-8?q?tion_and_Interaction_for_Ontologies_and_Linked_Data_=28c?= =?utf-8?q?o-located_ISWC=29?= Message-ID: CALL FOR CONTRIBUTIONS VOILA 2021 - Visualization and Interaction for Ontologies and Linked Data 6th International Workshop at ISWC 2021, 20th International Semantic Web Conference October 24 or 25, 2021, Virtual Workshop http://voila2021.visualdataweb.org Paper submission and reviewing for this workshop are organized via EasyChair. https://easychair.org/conferences/?conf=voila2021 -------------------------------------------------- NEW DATES: Abstracts Deadline: July 12, 2021 Submission Deadline: July 19, 2021 -------------------------------------------------- We are looking for submissions addressing one or more of the following topics, subjects, and contexts (or related ones): * Topics: - visualizations - user interfaces - visual analytics - requirements analysis - case studies - user evaluations - cognitive aspects - context-aware visualizations and interactions - applications for new interaction techniques (e.g., touch, gestures, etc.) - mobile user interfaces * Subjects: - ontologies - linked data - knowledge graphs - ontology engineering (development, collaboration, ontology design patterns, alignment, debugging, evolution, provenance, etc.) * Contexts: - classical interaction contexts (desktop, keyboard, mouse, etc.) - modern interaction contexts (mobile, touch, gesture, speech, etc.) - special settings (large, high-resolution, and multiple displays, etc.) - specific user groups and needs (people with disabilities, domain experts, etc.) Submission Guidelines ========== The following types of contributions are welcome. The recommended page length is given in brackets. There is NO strict page limit but the length of a paper should be commensurate with its contribution. - Full research papers (8-12 pages); - Experience papers (8-12 pages); - Position papers (6-8 pages); - Short research papers (4-6 pages); - System papers (4-6 pages). Accepted papers will be published as a volume in the CEUR Workshop Proceedings series. Important Dates ========== Abstract: June 28, 2021 July 12, 2021 Submission: July 05, 2021 July 19, 2021 Notification: July 28, 2021 August 20, 2021 Camera-ready: September 01, 2021 September 24, 2021 Workshop: October 24 or 25, 2021 Organizers ========== Patrick Lambrix, Link?ping University, Sweden Catia Pesquita, University of Lisbon, Portugal Vitalis Wiens, TIB, L3S, Leibniz University Hannover, Germany Looking forward to your submissions & meeting you there! Catia, Patrick, and Vitalis -------------- next part -------------- An HTML attachment was scrubbed... URL: From isact at cogsy.de Thu Jul 1 08:37:08 2021 From: isact at cogsy.de (ISACT2021 Team) Date: Thu, 1 Jul 2021 14:37:08 +0200 Subject: Connectionists: CfP: International Summer School on Situation Awareness in Cognitive Technologies 2021 (Deadline 19.07.2021) Message-ID: **** We apologise for cross-postings **** **** Please forward this e-mail to potentially interested students/researchers **** International Summer School on Situation Awareness in Cognitive Technologies 2021 Theory and Application September 6-11th, 2021 at Magdeburg, Germany. In conjunction with ICHMS 2021. http://isact.cogsy.de/ *** Scope: *** We are pleased to announce that the International Summer School on Situation Awareness in Cognitive Technologies (ISACT 2021) will be held from September 6 to 11, 2021 in Magdeburg, Germany, in conjunction with the IEEE International Conference on Human-Machine Systems (ICHMS 2021). Situation Awareness in Cognitive Technologies is a trending research direction that gained a lot of interest from the industry in recent years. Therefore, the summer school aims to present the fundamental aspects of situation awareness in cognitive technologies which can be discussed in an interdisciplinary context. There are a couple of aspects to consider: Situation Awareness, Cognitive Technologies, Human-Computer Interaction (HCI) and Explainable AI (XAI). Especially the HCI context provides a link between theory and application which receives special attention in this summer school along with the recent trends in Explainable AI. To make this school an interactive learning experience, we would encourage the participants to share their research presentations (posters) related to the above-mentioned topics. This year?s edition intends to bring together academia and industry to provide a large practical perspective to undergraduate and graduate (including early-stage PhD) students, as well as to young industry personnel. Attendees will be able to extend their knowledge in both theoretical and practical aspects of: - Situation Awareness - Cognitive Technologies - Brain-Computer Interaction - Human-Computer Interaction - Explainable AI The International Summer School on Situation Awareness in Cognitive Technologies is a great opportunity to learn about new technologies, meet fellow students/employees, discuss ideas with experts, participate in an international conference and simply have a splendid time in the city of Otto von Guericke! *** Important Dates: *** Application Deadline: July 19th, 2021 Notification of Acceptance: July 28th, 2021 Summer School Date: September 6-11th, 2021 *** Submissions: *** The application deadline is July 19th, 2021. Please fill out the application form at isact.cogsy.de/apply and upload your CV to isact.cogsy.de/cv . Moreover, we also accept applications for travel grants. The travel grant intends to cover the travelling costs to the summer school's venue. Therefore, the application must provide an additional list of estimated travel costs to Magdeburg. For further information please refer to isact.cogsy.de . *** Organisers: *** Ronald B?ck, OVGU Magdeburg Ingo Siegert, OVGU Magdeburg Sayantan Polley, OVGU Magdeburg Johannes Schleiss, OVGU Magdeburg Soumick Chatterjee, OVGU Magdeburg Andreas N?rnberger, OVGU Magdeburg Best regards, The ISACT2021 Organising Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Thu Jul 1 11:39:27 2021 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Thu, 1 Jul 2021 17:39:27 +0200 Subject: Connectionists: Frontiers in Computer Vision - Call for Contributions and Special Issue Proposals Message-ID: Dear colleagues, the *Computer Vision* section of *Frontiers in Computer Science* (formerly "Computer Vision and Image Analysis") is undergoing a massive overhaul in terms of scope, editorial board , and editorial strategies: https://www.frontiersin.org/journals/computer-science/sections/computer-vision We welcome contributions in all relevant areas of computer vision, from both academia and industry. Among the distinguishing features of Frontiers' open-access journals are fast publication time and an innovative collaborative peer-review process (see here for details). We also particularly welcome *Special Issue proposals* ("Research Topics" in Frontiers' terminology) on cutting-edge themes: https://www.frontiersin.org/about/research-topics Here's a list of the most recent ones: - Attentive Models in Vision - 3D Computer Vision - Domain Adaptation and Generalization in Challenging Visual Data Regimes - Perceiving Humans - Video Story Understanding - Machine Vision for Assistive Technologies - Differential Geometry in Computer Vision and Machine Learning - Methods and Tools for Bioimage Analysis If you have any questions about the journal, feel free to contact me or the editorial staff. Best regards -mp -- Marcello Pelillo, *FIEEE, FIAPR* Professor of Computer Science Ca' Foscari University of Venice, Italy IEEE SMC Distinguished Lecturer Specialty Chief Editor, *Computer Vision - Frontiers in Computer Science* -------------- next part -------------- An HTML attachment was scrubbed... URL: From ieeemocs2021 at gmail.com Thu Jul 1 09:46:01 2021 From: ieeemocs2021 at gmail.com (MoCS 2021) Date: Thu, 1 Jul 2021 15:46:01 +0200 Subject: Connectionists: [Extended Deadline] Workshop MoCS 2021 July 8th. Message-ID: Good morning, It is my pleasure to announce the Deadline Extension for the "11th Workshop on Management of Cloud and Smart City Systems" (MoCS 2021). MoCS 2021 will be held in Athens, Greece September 5, 2021, and will be part of the 26th IEEE Symposium on Computers and Communications (ISCC 2021) conference. Important dates Paper submission due: July 1, 2021 *July 8, 2021 (FIRM!)* Notification due: July 18, 2021 Workshop date: September 5, 2021 Those are the three reasons why you may want to submit your work to our workshop: - Accepted papers will be included in the ISCC 2021 Conference Proceedings (Indexed by Scopus and WebOfScience!); - Accepted papers will be included in the IEEE Xplore? Digital Library; - Best Paper Award will be presented. Topics of interest include but are not limited to the following: -Application of cloud and MEC systems to smart cities services. -Models for context-aware crowdsensing techniques at urban-level scale. -Human-enabled Edge Computing (HEC) paradigm. -Cloud to Edge continuum. -Edge data center deployment in urban environments. -Cloud quantum service model. -Hybrid quantum for smart city systems. -ML- and AI-based approaches cloud/edge-based smart city applications. -AI-driven models, architectures, and frameworks for edge computing. -Experiences on the (re)use of open platforms for cloud-integrated smart cities services. -Design and evaluation tools for scalability and efficient resource allocation in smart c-cities. -Design and application of cloud/edge technologies to Intelligent Transport Systems (ITS). -Vehicular cloud architectures for provisioning of smart cities services. -Models and paradigms for the management of cloud/MEC services within/between data. -Data-driven approaches for smart transportation in urban areas. -Blockchain solutions for secure and reliable transactions between the counterparts in data sharing/trading. -Security and privacy techniques to cloud/edge-based smart city applications. -Post-quantum security and privacy for smart city applications. You can find more information on our website: https://sites.google.com/view/ mocs-2021/ And this is the link to our CFP: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=133748 Make sure to follow us on Twitter @cfp_mocs2021 for updates, news, and more reasons to submit to us. Have a nice day! Sincerely, Michele La Manna. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jochem.rieger at uni-oldenburg.de Fri Jul 2 06:15:11 2021 From: jochem.rieger at uni-oldenburg.de (Jochem Rieger) Date: Fri, 2 Jul 2021 12:15:11 +0200 Subject: Connectionists: Scientific Software Engineer or Data Scientist, deadline July 11th 2021, Salary level E13 TVL Message-ID: <0b35a3ce-60b8-26e6-d6bb-514e1fd1ce5a@uni-oldenburg.de> Dear colleagues, we have an open DFG-funded position for 3+2 years for the development of data infrastructure including storage, streaming and analysis tools for reproducible science based on the BIDS standard at our Neuroimaging Unit at University of Oldenburg, Germany. Link to the announcment: https://uol.de/stellen?stelle=68111 Application deadline is July 11th 2021 The position is ideal for networking in the open science community as it includes workshop organization and interaction with the open (neuro)science community. It is complemented by a full time technician position for support. The salary level is E13. The exact salary is dependent on experience and family status. But the rough numbers re on the web. The Neuroimaging Unit hosts a 3T Siemens Prisma MRI-scanner and a 306 channel Triux MEG system. The university hosts a prestigious DFG-funded Cluster of Excellence in Hearing Research and the Dept. of Psychology was recently evaluated as excellent with the highest third party funding rate among psychologies in Lower Saxony. The city of Oldenburg has a high standard of living, Hamburg, Bremen and the north sea are between 30 to 90 min distance. We are looking forward to your application! Best regards, ????? Jochem The Neuroimaging Unit and the Applied Cognitive Neuropsychology Lab at the School of Medicine and Health Sciences of the University of Oldenburg is seeking to fill the position of a *Scientific Software Engineer or Data Scientist (m/f/d)* *(Salary level E13 TVL, 100%)* ** for the development of open and reproducible neuroscience tools and processing pipelines*.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible**until 30^th of September 2023 (with the possibility to extend another 2,5 years after successful evaluation and extension of the project)*. The position is suitable for part-time work. The Neuroimaging Unit hosts a state-of-the-art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The successful candidate is expected to actively perform research on and contribute to the implementation of a standardized neuroscience data acquisition, reproducible analysis pipelines and data storage for open science building on the BIDS standard. He/she should further contribute to community efforts and dissemination. Candidates should have a strong motivation to contribute to the community of developers open science tools. The development can include scientific projects, as long as they fit into the research focus of the lab (machine learning in cognitive neuroscience, speech processeing, and human state monitoring) but tool and processing pipeline development comprises the main part of the position. Candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, demonstrated by an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMRI or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowledge of German are desirable. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to ? 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Dr. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany; (jochem.rieger at uni-oldenburg.de ). Electronic applications (one pdf file) are preferred. For inquiries please use the same contact. The application deadline is*11*th of July 2021**. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fbln at ecomp.poli.br Fri Jul 2 09:13:16 2021 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Fri, 2 Jul 2021 10:13:16 -0300 Subject: Connectionists: IEEE 7th LA-CCI 2021 (Virtual) - Last CFP (Deadline 26th JULY) Message-ID: IEEE 7th LA-CCI 2021 - Latin American Conference on Computational Intelligence (in CHILE) LAST CALL FOR CONTRIBUTIONS (i.e., papers and theses for the yearly competition) VIRTUAL CONFERENCE, REDUCED-REGISTRATION, NICE SPEAKERS, GREAT SUMMER SCHOOL ***NEW DEAD-LINE 26th JULY (SEND YOUR WORK!) November 2nd-4th, 2021, Virtual Workshop, conference link => http://la-cci.org Paper and theses can be submitted using this link => http://laccichair.com/conftool/ Cordially, Prof. Dr. Fernando Buarque, BSc MSc DIC-PhD(Imperial College(UK) Hab(BR) SM IEEE(USA) Humboldt-Fellow(DE) Fellow-Academy of Science (PE/BR) Senior Associate Professor ? PostGrad/Undergrad Program on Computing Engineering of UPE, Brazil (PPG-EC / E-Comp ) Honorary Professor ? College of Engineering, Mathematics & Physical Sciences of U.of Exeter, England (CEMPS ) Visiting Int'l Professor ? School of Business and Economics-European Research Center for IS-WWU M?nster, Germany (ERCIS ) Visiting Professor ? School of Electrical Engineering of the University of Johannesburg, South Africa (FEBE at UJ ) Adjunct Professor (external) ? Dept Electrical & Computer Engineering of Texas A&M University, USA (ECE at TAMU ) Board Member ? Science and Technology State (of Pernambuco) Foundation, Brazil (FACEPE ) Research Ambassador ? University of M?nster, Germany (WWU ) Research Group Head ? Computational Intelligence Research Group of UPE, Brazil (CIRG at UPE ) Steering Committee Chair ? Latin American Conference on Computational Intelligence Conference Series (LA-CCI ) Advisory Board Member ? Institute for Intelligent Systems of the University of Johannesburg, South Africa (IIS at UJ ) LA-CCI ***NEW*** submission deadline! Pass it forward to your team ==>> 7th IEEE Latin American Conference on Computational Intelligence (CHILE) -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Fri Jul 2 10:49:39 2021 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Fri, 2 Jul 2021 16:49:39 +0200 Subject: Connectionists: Full-time assistant professor in AI at UNamur Message-ID: <82a7f452-b593-0593-f488-36737dbfb803@unamur.be> Dear colleagues, If you are looking for a team of kind and passionate colleagues that value both research and teaching, the Faculty of Computer Science at UNamur has an open academic position in artificial intelligence.? The Faculty is more than 50 years old and is located in Namur, an historical city at the center of Wallonia. We are looking for candidates that will create and contribute to collaborations in line with the Faculty's areas of interest (software engineering, data engineering, data science, artificial intelligence, security, formal methods, modeling?). All details can be found here (deadline is September 12th): * https://euraxess.ec.europa.eu/jobs/650796 * https://jobs.unamur.be/emploi.2021-05-27.7877206869 Best regards, Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Jul 3 05:21:18 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sat, 3 Jul 2021 12:21:18 +0300 Subject: Connectionists: Academic Positions -- Department of Computer Science -- University of Cyprus Message-ID: ACADEMIC POSITIONS -- DEPARTMENT OF COMPUTER SCIENCE -- UNIVERSITY OF CYPRUS The University of Cyprus was founded in 1989 and admitted its first students in 1992. Within a short time, the University of Cyprus achieved international distinctions. Today, it is ranked as the 84th young university (under 50 years) and #501-600 worldwide by the Times Higher Education Rankings. These notable distinctions are the result of dedication to continuous development. The pursuit of research excellence constitutes a key strategic objective of the University of Cyprus. Moreover, the University continually extends and upgrades its programs of undergraduate and graduate studies. To best serve its research and educational aims, the University recruits high-caliber academic staff who can make significant contributions to the development of internationally competitive research projects and to the design and delivery of new curricula. The University of Cyprus invites applications for two (2) tenure-track academic positions at the rank of Lecturer or Assistant Professor in the Department of Computer Science, as follows: * one (1) position in the field of ?Software Engineering? * one (1) position in the fields of ?Networks or Cybersecurity? For all academic ranks, an earned Doctorate from a recognised University is required. Requirements for appointment depend on academic rank and include: prior academic experience, research record and notable scientific contributions, involvement in the development and teaching of high quality undergraduate and graduate curricula. The minimum requirements for each academic rank are listed on the webpage at https://www.ucy.ac.cy/acad.staff.procedures . Candidates need not be citizens of the Republic of Cyprus. The official languages of instruction are Greek and Turkish. For the above position, fluency in the Greek language is necessary. In case the selected candidate does not have sufficient knowledge of the Greek language, it is the candidate's and the Department's responsibility to ensure that the candidate acquires sufficient knowledge of the Greek language within 3 years from appointment. Each Department sets its own criteria for the required level of fluency in the Greek language. The annual gross salary (including the 13th salary) for full time employment, according to the current legislation, is:
Assistant Professor (Scale A13-A14) ?58,428.91-?78,798.61
Lecturer (Scale A12-A13) ?44,410.28-?72,265.43
Employee contributions to the various state funds will be deducted from the above amounts. Candidates are invited to submit their applications electronically by uploading the following documents (in English, in PDF form) at the following link: https://applications.ucy.ac.cy/recruitment . 1. Cover Letter. 2. Curriculum Vitae. 3. Copy of ID/Passport. 4. Copies of degree certificates. 5. Summary of previous research work and a statement of future research agenda (up to 3 pages). 6. List of publications. 7. Representative publications (up to 3 publications which should be individually uploaded). The submission of representative publications is non-mandatory for the rank of Lecturer. 8. The names and email addresses of three academic referees, who, upon submission of the application, will be automatically notified to provide recommendation letters (in English), up to seven days past the submission deadline. Documents 1-7 must be uploaded as separate PDF documents. The deadline for applications is on Monday 27th of September 2021. Applicants selected for appointment will be required to submit copies of degree certificates officially certified by the Ministry of Education (for degrees received from universities in Cyprus) or from the Issuing Authority (for degrees from foreign universities). Applications, supporting documents and reference letters submitted in response to previous calls will not be considered and must be resubmitted. Applications not conforming to the specifications of this call, i.e. which do not include all the required documents as specified on the electronic submission system, will not be considered. It is the applicant?s responsibility to ensure that his/her application has successfully been submitted. Upon submission, the candidate will receive an automated confirmation email. For more information, candidates may contact the Human Resources Service (tel.: +357 22 89 4146/4155 or via email: applications at ucy.ac.cy) or the Department of Computer Science (tel: +357 22 892669). -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Jul 2 14:32:06 2021 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 02 Jul 2021 11:32:06 -0700 Subject: Connectionists: NEURAL COMPUTATION - July 1, 2021 In-Reply-To: Your message of Thu, 22 Nov 2018 10:02:28 -0800 References: Message-ID: Neural Computation - Volume 33, Number 7 - July 1, 2021 available online for download now: http://www.mitpressjournals.org/toc/neco/33/7 http://cognet.mit.edu/content/neural-computation ----- Article Nonlinear Decoding of Natural Images >From Large-Scale Primate Retinal Ganglion Recordings Young Joon Kim, Nora Brackbill, Eleanor Batty, JinHyung Lee, Catalin Mitelut, William Tong, E.J. Chichilnisky, and Liam Paninski Letters >From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework Shervin Safavi, Nikos K Logothetis, and Michel Besserve Lifelong Classification in Open World With Limited Storage Requirements Wang Bi, Chen Yang, Li Xuelian, and Chen JunFu X-DC: Explainable Deep Clustering Based on Learnable Spectrogram Templates Chihiro Watanabe, Hirokazu Kameoka Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training Wenrui Zhang, Peng Li Classification of Autism Spectrum Disorder >From EEG-based Functional Brain Connectivity Analysis Noura Alotaibi, Koushik Maharatna Analysis of EEG Data Using Complex Geometric Structurization Eddy Kwessi, Lloyd Jerome Edwards A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-astrocyte Networks. Roman Vuillaume, Jhunlyn Lorenzo, St??phane Binczak, and Sabir Jacquir NetPyNE Implementation and Rescaling of the Potjans-Diesmann Cortical Microcircuit Model Cecilia Romaro, Fernando Araujo Najman, William W Lytton, Antonio Carlos Roque, and Salvador Dura Bernal ----- ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From zador at cshl.edu Fri Jul 2 12:47:22 2021 From: zador at cshl.edu (Tony Zador) Date: Fri, 2 Jul 2021 12:47:22 -0400 Subject: Connectionists: THEORETICAL/COMPUTATIONAL NEUROSCIENCE FACULTY POSITION AT CSHL In-Reply-To: References: Message-ID: *Cold Spring Harbor Laboratory is seeking faculty candidates in the area of Computational/Theoretical Neuroscience. * Of particular interest to this search are candidates with expertise in *computational and theoretical neuroscience, machine learning, and artificial intelligence*. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. *Review of applications is currently underway and will continue until the position is filled. * Please see https://www.cshl.edu/about-us/careers/faculty-positions/ for details. If this position is *of interest to you or your colleagues, we would welcome your applications*. This link will bring you to the formal posting where *interested candidates* can create an account and apply: Faculty Positions In Neuroscience position ID 02703-R. *Specific questions regarding the opportunity can be sent *directly to CSHLfacultyjobs at cshl.edu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Sun Jul 4 00:23:30 2021 From: mtanveer at iiti.ac.in (M Tanveer) Date: Sun, 4 Jul 2021 09:53:30 +0530 Subject: Connectionists: ICONIP 2021: Paper submissions deadline extended to July 14, 2021 Message-ID: Dear All, Due to multiple requests that we have received, the Committee of ICONIP 2021 is delighted to announce the extension of the deadline for paper submission. The following is our updated CFP. Call for Submissions 28th International Conference on Neural Information Processing [ICONIP 2021], December 8 ? 12, 2021, Bali, Indonesia [Hybrid Conference] ICONIP is the annual flagship conference organized by the Asia Pacific Neural Network Society [APNNS]. ICONIP 2021 aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress and achievement, through its regular sessions, special sessions, tutorials, and workshops. Conference Page: https://iconip2021.apnns.org/ Plenary Speakers 1. Prof. J?rgen Schmidhuber, University of Lugano, Switzerland 2. Prof. Soo-Young Lee, Korea Advanced Institute of Science and Technology, Korea 3. Prof. P.N. Suganthan, Nanyang Technological University, Singapore 4. Prof. Guang-Bin Huang, Nanyang Technological University, Singapore Invited Speakers 1. Prof. Naoyuki Kubota, Tokyo Metropolitan University, Japan 2. Prof. Tom Gedeon, Australian National University, Australia 3. Prof. Nojun Kwak, Seoul National University, Korea The Proceedings will be published in the Springer?s series of Lecture Notes in Computer Science [LNCS] and Communications in Computer and Information Science [CCIS]. Selected papers will be published in a special issue of an SCI journal. Previous ICONIPs in LNCS, Springer: https://link.springer.com/conference/iconip Final papers after acceptance will normally be 10 pages up to be a maximum of 12 pages in length, including references and appendices. Submitted papers should be no longer than 12 pages. Submission Page: https://easychair.org/ Important Dates Paper Submission: extended to July 14, 2021 Paper Acceptance: August 31, 2021 Camera Ready: September 30, 2021 Conference Date: December 8 ? 12, 2021 ICONIP2021 features two Special Events 14th International Workshop on Artificial Intelligence and Cyber Security 2021 [AICS2021] CDMC2021 data mining competition If you have any queries, please contact us: iconip2021 at apnns.org Best regards, M. Tanveer Publicity Co-Chair - ICONIP 2021 ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sun Jul 4 18:46:13 2021 From: cgf at isep.ipp.pt (Carlos) Date: Sun, 4 Jul 2021 23:46:13 +0100 Subject: Connectionists: =?utf-8?q?CFP_=5Bdeadline=3A_July_5th=5D=3A_SoGoo?= =?utf-8?q?d_2021=E2=80=93_6th_Workshop_on_Data_Science_for_Social_Good_?= =?utf-8?q?=28ECML-PKDD_2021=29?= Message-ID: <977f2eb6-d242-aa5e-824a-fa6e91cc7f51@isep.ipp.pt> SoGood 2021 ? 6th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2021 (https://2021.ecmlpkdd.org/), 13-17 September 2021 Workshop paper/project submission deadline: July 5th, 2021 https://sites.google.com/view/ecmlpkddsogood2021/home Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Sun Jul 4 19:09:49 2021 From: nemanja at temple.edu (Nemanja Djuric) Date: Sun, 4 Jul 2021 23:09:49 +0000 Subject: Connectionists: [CfP] ICCV 2021 Workshop: 2nd Autonomous Vehicle Vision (AVVision) Message-ID: [CfP] ICCV 2021 Workshop: 2nd Autonomous Vehicle Vision (AVVision) The 2nd Autonomous Vehicle Vision (AVVision) Workshop aims to bring together industry professionals and academics to brainstorm and exchange ideas on the advancement of computer vision techniques for autonomous driving. In this one-day workshop, we will have seven keynote talks and regular paper presentations (oral and poster) to discuss the state of the art as well as existing challenges in autonomous driving. The workshop webpage is at https://avvision.xyz/iccv21/. Keynote Speakers: * Cordelia Schmid, INRIA * Raquel Urtasun, University of Toronto * Andreas Geiger, University of T?bingen * Fisher Yu, ETH Z?rich * Laura Leal-Taix?, Technical University of Munich * Matthew Johnson-Roberson, University of Michigan * Carl Wellington, Aurora Call for papers: With a number of breakthroughs in autonomous system technology over the past decade, the race to commercialize self-driving cars has become fiercer than ever. The integration of advanced sensing, computer vision, signal/image processing, and machine/deep learning into autonomous vehicles enables them to perceive the environment intelligently and navigate safely. Autonomous driving is required to ensure safe, reliable, and efficient automated mobility in complex uncontrolled real-world environments. Various applications range from automated transportation and farming to public safety and environment exploration. Visual perception is a critical component of autonomous driving. Enabling technologies include: a) affordable sensors that can acquire useful data under varying environmental conditions, b) reliable simultaneous localization and mapping, c) machine learning that can effectively handle varying real-world conditions and unforeseen events, as well as ?machine-learning friendly? signal processing to enable more effective classification and decision making, d) hardware and software co-design for efficient real-time performance, e) resilient and robust platforms that can withstand adversarial attacks and failures, and f) end-to-end system integration of sensing, computer vision, signal/image processing and machine/deep learning. The 2nd AVVision workshop will cover all these topics. Research papers are solicited in, but not limited to, the following topics: * 3D road/environment reconstruction and understanding; * Mapping and localization for autonomous cars; * Semantic/instance driving scene segmentation and semantic mapping; * Self-supervised/unsupervised visual environment perception; * Car/pedestrian/object/obstacle detection/tracking and 3D localization; * Car/license plate/road sign detection and recognition; * Driver status monitoring and human-car interfaces; * Deep/machine learning and image analysis for car perception; * Adversarial domain adaptation for autonomous driving; * On-board embedded visual perception systems; * Bio-inspired vision sensing for car perception; * Real-time deep learning inference. Important Dates: * Paper submission deadline: Jul. 23, 2021 * Review feedback release date: Aug. 09, 2021 * Camera-ready Submission: Aug. 16, 2021 * Workshop date: Oct. 10-17, 2021 (TBD) Submission Guidelines: Regular papers: Authors are encouraged to submit high-quality, original (i.e., not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference, or workshop) research. The paper template is identical to the ICCV 2021 main conference. Papers are limited to eight pages, including figures and tables, in the ICCV style. Additional pages containing only cited references are allowed. Please refer to the following files for detailed formatting instructions: * Example submission paper with detailed instructions Download; * LaTeX Templates (zip): iccv2021AuthorKit.zip Download Papers that are not properly anonymized, or do not use the template, or have more than eight pages (excluding references) will be rejected without review. The submission site is now open. Extended abstracts: We encourage participants to submit preliminary ideas that have not been published before as extended abstracts. These submissions would benefit from additional exposure and discussion that can shape a better future publication. We also invite papers that have been published at other venues to spark discussions and foster new collaborations. Submissions may consist of up to four pages plus one additional page solely for references (using the template detailed above). The extended abstracts will NOT be published in the workshop proceedings. Organizers: * Rui Ranger Fan, UC San Diego * Nemanja Djuric, Aurora * Rowan McAllister, Toyota Research Institute * Ioannis Pitas, Aristotle University of Thessaloniki -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Sun Jul 4 11:13:53 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Sun, 4 Jul 2021 17:13:53 +0200 Subject: Connectionists: [Doctoral-Symposium-CfP] ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems [DEADLINE: July 8th 2021] In-Reply-To: References: Message-ID: <7abeebe9-cd27-5bfe-54b3-8b913449fab6@acsos.org> *+*************************************************+* *+******************** ACSOS 2021 - Foctoral Symposium **************+**** * *+*************************************************+* *+* *+* *+*? 2nd IEEE International Conference on *+* *+*? Autonomic Computing & Self-Organizing Systems *+* *+* *+* *+*? 27 September -- 1 October 2021 *+* *+*? Washington, DC, USA *+* *+* *+ + http://2021.acsos.org/ +* *+* https://twitter.com/ACSOSconf *+ ***+* *+** *+++++++++++++++++++++++++++++++++++++++++++++++++++** **+++++++++++++++++++++++++++++++++++++++++++++++++++* https://conf.researchr.org/track/acsos-2021/acsos-2021-doctoral-symposium ***************************************************** ***************** Important? Dates******************** ***************************************************** ? - Paper submission deadline: *July 8th, 2021* ? - Notification: *August 1st, 2021* ? - ACSOS Conference: *September 27th -- October 1st, 2021* All times in Anywhere on Earth (AoE) timezone. ****************************************************** ***************** Doctoral Symposium ****************** ****************************************************** The second IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) provides a forum to share the latest research results, ideas and experiences in autonomic, self-adaptive, and self-organizing systems. ACSOS was founded in 2020 as a merging of the two long-running IEEE ICAC and SASO conferences, bringing together the two leading communities in this research space. The Doctoral Symposium provides an international forum for PhD students working in ACSOS-related research fields to present their work to a diverse audience of leading experts in the field, to gain both insightful feedback and discussion points around their research as well as the invaluable experience of presenting new research to an international audience. The symposium has a strong history, though ICAC and SASO, of connecting young researchers with highly experienced peers to forge connections, which can last for many years. PhD students are invited to submit a two-page abstract, with another page for references, which should use the below format to describe the key motivation of their research, the major contribution (either actual or expected, depending on the research stage), discuss their methodology, and present the current status of the research. Authors of accepted papers will have the opportunity to present their work both at the doctoral symposium and in brief at the main conference itself, offering a very wide audience for their research. Students at any stage of their PhD are welcome to submit. Reviews, feedback, and expectations will be adapted appropriately to the relative stage of each submission. #### Mentoring Program This year the Doctoral Symposium will employ a mentoring program, in which every author of an accepted paper will be paired with an experienced mentor from the community. Mentors will help introduce the student to the community, offer extended discussion of their research objectives and career opportunities, and will host their students throughout the event to help gain the best experience from an international conference. #### Symposium Organisers - Sven Tomforde, Christian-Albrechts-Universit?t zu Kiel, Germany - st at informatik.uni-kiel.de - Mohamed Bakhouya, International University of Rabat - mohamed.bakhouya at uir.ac.ma #### Review Committee - Mohamed Bakhouya, International University of Rabat - Antonio Coronato, ICAR-CNR - Vincenzo De Florio, Vrije Univ Brussel. Global Brain Institute / Evolution, Complexity and Cognition research group - Christian Gruhl, University of Kassel, Germany - Chris Landauer, Topcy House, USA - Sven Tomforde, Christian-Albrechts-Universit?t zu Kiel, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From maneetsingh18 at gmail.com Mon Jul 5 00:39:10 2021 From: maneetsingh18 at gmail.com (Maneet Singh) Date: Mon, 5 Jul 2021 10:09:10 +0530 Subject: Connectionists: Final CFP: CIKM2021 International Workshop on Modelling Uncertainty in the Financial World (MUFin21) Message-ID: Dear Researcher, Ten days left to the paper submission deadline! We invite you to submit at the MUFin21 workshop! The workshop provides a platform for experts across industry and academia to discuss and present challenges, novel solutions, and pave the way for future directions in modelling sequential data uncertainty for the financial world. *We invite papers focused on modelling uncertainty for financial applications.* Topics of interest include, but are not limited to the following: *Application Topics:* - Evaluating financial risk - Forecasting stock market - Modelling seasonality in market trends - Fraud prediction - Modelling temporal social media activity - Recommendation systems - Adversarial Attacks on financial models *Technical Topics:* - Temporal/Sequential data modelling ? clustering, classification - Modelling uncertainty in financial data - Temporal graphs - Time Series Forecasting - Text analytics of financial reports, forecasts, and documents - Explainable/interpretable sequential modelling - Exploring fairness and robustness towards bias in financial models - Representation learning from temporal/sequential data - Modelling financial data as temporal point processes *Submission Deadline: 15th July 2021* Website: https://sites.google.com/view/mufin21/home The best paper of the workshop will be awarded a *Best Paper Award* worth $500! Please refer to the website for more details. Incase of any queries, please reach out to Maneet Singh at maneet.singh at mastercard.com. Best, Maneet -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Sun Jul 4 14:06:30 2021 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Sun, 4 Jul 2021 18:06:30 +0000 Subject: Connectionists: NEURAL NETWORKS, July 2021 Message-ID: Neural Networks - Volume 139, July 2021 https://www.journals.elsevier.com/neural-networks Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments Siddhant Gupta, Ankur T. Patil, Mirali Purohit, Mihir Parmar, ... Rodrigo Capobianco Guido Deep neural network representation and Generative Adversarial Learning Ariel Ruiz-Garcia, Juergen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo Mandic Dense Residual Network: Enhancing global dense feature flow for character recognition Zhao Zhang, Zemin Tang, Yang Wang, Zheng Zhang, ... Meng Wang Computational reproductions of external force field adaption without assuming desired trajectories Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, ... Yasuharu Koike CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks Gasper Begus Synchronization criteria of delayed inertial neural networks with generally Markovian jumping Junyi Wang, Zhanshan Wang, Xiangyong Chen, Jianlong Qiu A generative adversarial network approach to (ensemble) weather prediction Alex Bihlo End-to-end novel visual categories learning via auxiliary self-supervision Yuanyuan Qing, Yijie Zeng, Qi Cao, Guang-Bin Huang A fast saddle-point dynamical system approach to robust deep learning Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, ... Soumik Sarkar Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser Knowledge graph embedding with shared latent semantic units Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, ... Qing He An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang Visual question answering based on local-scene-aware referring expression generation Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu, Hong-Gyu Jung, Seong-Whan Lee Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, ... Qing Liu D-MONA: A dilated mixed-order non-local attention network for speaker and language recognition Xiaoxiao Miao, Ian McLoughlin, Wenchao Wang, Pengyuan Zhang IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng Design and independent training of composable and reusable neural modules David Castillo-Bolado, Cayetano Guerra-Artal, Mario Hernandez-Tejera Block-cyclic stochastic coordinate descent for deep neural networks Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong Convergence of the RMSProp deep learning method with penalty for nonconvex optimization Dongpo Xu, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control Guang Ling, Ming-Feng Ge, Xinghua Liu, Gaoxi Xiao, Qingju Fan Synchronization of memristive neural networks with unknown parameters via event-triggered adaptive control Yufeng Zhou, Hao Zhang, Zhigang Zeng Quantifying the separability of data classes in neural networks Achim Schilling, Andreas Maier, Richard Gerum, Claus Metzner, Patrick Krauss Synchronization in finite time for variable-order fractional complex dynamic networks with multi-weights and discontinuous nodes based on sliding mode control strategy Xia Li, Huaiqin Wu, Jinde Cao A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu Biomimetic FPGA-based spatial navigation model with grid cells and place cells Adithya Krishna, Divyansh Mittal, Siri Garudanagiri Virupaksha, Abhishek Ramdas Nair, ... Chetan Singh Thakur Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database George J. Shannon, Naga Rayapati, Steven M. Corns, Donald C. Wunsch Semi-dilated convolutional neural networks for epileptic seizure prediction Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown Keyword spotting techniques to improve the recognition accuracy of user-defined keywords Li Liu, Mingxue Yang, Xinyi Gao, Qingsong Liu, ... Jun Zhou Detecting slender objects with uncertainty based on keypoint-displacement representation Zelong Kong, Nian Zhang, Xinping Guan, Xinyi Le End-to-end keyword search system based on attention mechanism and energy scorer for low resource languages Zeyu Zhao, Wei-Qiang Zhang -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.goyer at fz-juelich.de Mon Jul 5 05:43:12 2021 From: d.goyer at fz-juelich.de (Dr. David Goyer) Date: Mon, 5 Jul 2021 11:43:12 +0200 Subject: Connectionists: Job Posting: Scientific Software Developer In-Reply-To: <0273f5db-1bab-5ba0-2be6-f358ed7641c1@fz-juelich.de> References: <0273f5db-1bab-5ba0-2be6-f358ed7641c1@fz-juelich.de> Message-ID: Dear All, The Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6) at Research Center J?lich is looking for a Scientific Software Developer for Neural Data Analysis Tools. Full details of the job offer can be found here: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-192-EN-INM-6.html?nn=363488 Application deadline is 25.07.2021. If you have questions regarding this job posting feel free to contact me. Kind regards, David Goyer Dr. David Goyer Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich Germany phone: +49-1756402993 -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5335 bytes Desc: S/MIME Cryptographic Signature URL: From jiankliu at gmail.com Mon Jul 5 09:40:40 2021 From: jiankliu at gmail.com (Jian Liu) Date: Mon, 5 Jul 2021 14:40:40 +0100 Subject: Connectionists: PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning Message-ID: *PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning* The lab of Dr Jian Liu invites applications for several PhD/Postdoc positions at the interface of computational neuroscience and machine learning, at the School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds. Research projects will involve theoretical analysis, computational modeling, and data analysis, with worldwide collaborations of neuroscience experimentalists, clinicians, and robotic engineers. We are working on a wide range of topics, from fundamental neuroscience questions to robotic applications. For representative examples and publications, please visit: http://jiankliu.github.io Candidates with a quantitative background are welcome. We are looking for highly motivated candidates with a spirit of intellectual adventure. The positions will come with competitive work conditions. Generous traveling budgets are available. Please send the following information in one single PDF, to j.liu9 at leeds.ac.uk: - Detailed CV with publications; - Letter on motivation and interests; - Other relevant materials of interest; The School of Computing conducts ranging from fundamental advances in algorithms and our understanding of computation, through to highly applied research into new display technologies for clinical diagnosis, energy-efficient data centres, and profound insight into data through visualisation. We are parents with the Alan Turing Institute, the UK?s premier research centre for data science and artificial intelligence. The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine holds the Gold award. We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. We will make the working patten inclusive and flexible. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Mon Jul 5 17:04:35 2021 From: pubconference at gmail.com (Pub Conference) Date: Mon, 5 Jul 2021 17:04:35 -0400 Subject: Connectionists: Call for Papers - KBS Special Issue on Deep Learning (IF: 8.038) Message-ID: Robust, Explainable, and Privacy-Preserving Deep Learning https://www.journals.elsevier.com/knowledge-based-systems/call-for-papers/robust-explainable-and-privacy-preserving-deep-learning *Aim and Scope* The exponentially growing availability of data such as images, videos and speech from myriad sources, including social media and the Internet of Things, is driving the demand for high-performance data analysis algorithms. Deep learning is currently an extremely active research area in machine learning and pattern recognition. It provides computational models of multiple nonlinear processing neural network layers to learn and represent data with increasing levels of abstraction. Deep neural networks are able to implicitly capture intricate structures of large-scale data and deploy in cloud computing and high-performance computing platforms. The deep learning approach has demonstrated remarkable performances across a range of applications, including computer vision, image classification, face/speech recognition, natural language processing, and medical communications. However, deep neural networks yield ?black-box? input-output mappings that can be challenging to explain to users. Especially in the healthcare, cybersecurity, and legal fields, black-box machine learning techniques are unacceptable, since decisions may have a profound impact on peoples? lives due to the lack of interpretability. In addition, many other open problems and challenges still exist, such as computational and time costs, repeatability of the results, convergence, and the ability to learn from a very small amount of data and to evolve dynamically. Further, despite their enormous societal benefits, deep learning can pose real threats to personal privacy. For example, deep neural networks and other machine learning models are built based on patients' personal and highly sensitive data such as clinical records or tracked health data in the domain of healthcare. Moreover, they can be vulnerable to attackers trying to infer the sensitive data that was used to build the model. This raises important research questions about how to develop deep learning models that protect private data against inference attacks while still being accurate and useful predictive models. This Special Issue will present robust, explainable, and efficient next-generation deep learning algorithms with data privacy and theoretical guarantees for solving challenging artificial intelligence problems. This Special Issue aims to: 1) improve the understanding and explainability of deep neural networks; 2) improve the accuracy of deep learning leveraging new stochastic optimization and neural architecture search; 3) enhance the mathematical foundation of deep neural networks; 4) design new data privacy mechanisms to optimally tradeoff between utility and privacy; and 5) increase the computational efficiency and stability of the deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following: ? Novel theoretical insights on the deep neural networks ? Exploration of post-hoc interpretation methods which can shed light on how deep learning models produce a specific prediction and generate a representation ? Investigation of interpretable models which aim to construct self-explanatory models and incorporate interpretability directly into the structure of a deep learning model ? Quantifying or visualizing the interpretability of deep neural networks ? Stability improvement of deep neural network optimization ? Optimization methods for deep learning ? Privacy preserving machine learning (e.g., federated machine learning, learning over encrypted data) ? Novel deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security *Important Dates* ? Submission Deadline: August 31, 2021 ? First Review Decision: September 30, 2021 ? Revisions Due: October 31, 2021 ? Final Decision: November 30, 2021 ? Final Manuscript: December 31, 2021 *Review Procedures* This special issue will run as per the timeline given from submission to publication, while maintaining the rigorous peer review and high standards of the journal. All manuscripts submitted must be original, not under consideration elsewhere, and not previously published. A guide for authors and other relevant information for submission of manuscripts are available on the Guide for Authors? page. Authors can expect their manuscripts to be reviewed fairly, and in a skilled, conscientious manner. To enhance objectivity, and to guarantee high scientific quality and relevance to the subject, three peer reviewers will be selected to evaluate a manuscript. The peer review process shall be designed to avoid bias and conflict of interest on the part of reviewers and shall be composed of experts in the relevant field of research. A key criterion in publication decisions will be the manuscript?s fit for the special issue and the readership of KBS. Papers will be published online as soon as accepted in continuous flow. *Submission Instructions* The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type ?*VSI: Deep Learning*?. Please submit your manuscript before the submission deadline. All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal?s homepage. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gherardo.varando at uv.es Tue Jul 6 05:06:22 2021 From: gherardo.varando at uv.es (Gherardo Varando) Date: Tue, 06 Jul 2021 11:06:22 +0200 Subject: Connectionists: AISTATS 2022 Call for Papers Message-ID: <7e022965300f0b3ea5a27929bcf5ab4d2fd5723d.camel@uv.es> Dear all, (Posting on behalf of the AISTATS 2022 organizing committee) We invite submissions to the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), and welcome paper submissions on artificial intelligence, machine learning, statistics, and related areas. The dates are as follow: - **Abstract submission deadline: Friday, 8 October 2021 11:59am (UTC)** - **Paper submission deadline: Friday, 15 October 2021 11:59am (UTC)** - Supplementary material submission: Friday, 22 October 2021 11:59am (UTC) - Reviews released: Friday, November 26, 2021 - Author rebuttals due: Friday, 3 December 2021 11:59am (UTC) - Final decisions: Tuesday, January 18, 2022 - Camera-ready deadline: Wednesday, 23 February 2022 11:59am (UTC) - Tentative conference dates: March 30 - April 1, 2022 For details refer to the complete call for papers available at https://aistats.org/aistats2022/cfp.html. *Physical Attendance The AISTATS 2022 organizing committee is committed to the safety and health of our community. We are currently reviewing the best option for AISTATS 2022 (either physical or virtual conference). In any case, **physical attendance will not be mandatory for authors of accepted papers.** As soon as we have made a final decision, we will update the information to the webpage. Thank you for your patience and understanding. Isabel Valera and Francisco J. R. Ruiz AISTATS 2022 Program Chairs Gustau Camps-Valls AISTATS 2022 General Chair https://aistats.org/aistats2022/ From Francesco.Rea at iit.it Tue Jul 6 08:44:47 2021 From: Francesco.Rea at iit.it (Francesco Rea) Date: Tue, 6 Jul 2021 12:44:47 +0000 Subject: Connectionists: [jobs] Post-doc Functional Memory Network in collaborative AI for cognitive assessment of human partners @ Italian Institute of Technology (IIT) Message-ID: Post-doc Functional Memory Network in collaborative AI for cognitive assessment of human partners At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centers around Italy and two outer-stations based in the US for a truly interdisciplinary experience. The CONTACT Research Line is coordinated by Alessandra Sciutti, who has extensive experience in Cognitive Architecture for Human Robot Interaction. Within the team, your main responsibilities will be: * Sensing of human cognitive capabilities based on human-robot collaboration in unstructured real-world contexts * Design of control systems for mobile robots that enable natural human-robot collaboration * Development of an AI solution for the assessing of cognitive capabilities of human partners in human-robot social collaboration for unstructured real-world scenario This open position is financed by European Commission through HBP (Human Brain Project) project CEoI for SGA3 - Application of functional architectures supporting advanced cognitive functions to address AI and automation problems of industrial and commercial within the PROMEN-AID, Proactive Memory iN AI for Development project (GA 945539). Please submit your application using the online form (https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2100004X) and including a detailed CV, cover letter (outlining motivation, experience and qualifications), names and contact of 2 referees. Application's deadline: July 31, 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.nogales at ceiec.es Tue Jul 6 10:23:38 2021 From: alberto.nogales at ceiec.es (Alberto Nogales Moyano) Date: Tue, 6 Jul 2021 16:23:38 +0200 Subject: Connectionists: PhD scholarship position (Spanish) Message-ID: Hello, we are looking for a Ph.D. candidate who will research in deep learning applied to medicine, particularly in signal processing, by managing electroencephalogram. The description of the position is in the document attached. Kind regards. -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2021 Perfil puesto de doctorando CEIE.pdf Type: application/pdf Size: 96292 bytes Desc: not available URL: From ssliu at coe.neu.edu Tue Jul 6 15:20:19 2021 From: ssliu at coe.neu.edu (Shanshan Liu) Date: Tue, 06 Jul 2021 19:20:19 +0000 Subject: Connectionists: [IEEE TETC Special Section] Call for Papers: Emerging Techniques for Trusted and Reliable Machine Learning Message-ID: <20210706192019.Horde.MsBku_ozQHWg9zIAFQmDCA6@webmail.coe.neu.edu> Dear Colleague, ? IEEE Transactions on Emerging Topics in Computing (/TETC/) seeks submissions for the upcoming special section on??TO BE SAFE AND DEPENDABLE IN THE ERA OF ARTIFICIAL INTELLIGENCE: EMERGING TECHNIQUES FOR TRUSTED AND RELIABLE MACHINE LEARNING?[1].? ? During the last decade, advances in areas such as convolutional neural networks, deep learning, and hardware accelerators have enabled the widespread and ubiquitous adoption of machine learning (ML) in real-world systems. This trend is expected to continue and expand in the coming years, leading to a world that depends heavily on ML-based systems. ? To be safe and dependable in this new era of artificial intelligence, these innovative systems have to be reliable and secure. This poses many research challenges. For example, fault tolerance is commonly achieved by redundant design, but the implementation of deep neural networks is already challenging, so there is little room to add additional elements for fault tolerance. Similarly, understanding the vulnerabilities of advanced ML systems is a complex issue, as shown by recent attacks on image classification implementations. Therefore, it is essential to learn how to build ML systems that cannot be manipulated or corrupted by malicious attackers and that can operate reliably when its underlying hardware or software suffers from errors. ? This special section is devoted to: 1) recent advances in techniques, algorithms, and implementations for error-tolerant ML systems and 2) trust/reliable aspects of ML systems and algorithms, including vulnerabilities, management, protection, and mitigation schemes. Original papers with substantial technical contribution are solicited on the following topics: * Design and analysis of trusted/reliable ML algorithms and systems * Innovative computational paradigms for ML, such as approximate/stochastic computing * Fault/error-tolerant ML systems and techniques * Trust, dependability, reliability, and security in ML implementations * Adversarial and related techniques for ML systems and algorithms * Techniques for trustworthy ML inclusive of detection, mitigation, and defense * Evaluation of ML for applications such as in safety-critical and secure systems ? SCHEDULE * DEADLINE FOR SUBMISSIONS: October 15, 2021 * First decision (accept/reject/revise, tentative): January 15, 2022 * Submission of revised papers: March 15, 2022 * Notification of final decision (tentative): May 1, 2022 * Journal publication (tentative): second half of 2022 SUBMISSION GUIDELINES Submitted papers must include new significant research-based technical contributions in the scope of the journal. Purely theoretical, technological, or lacking methodological-and-generality papers are not suitable for this special section. The submissions must include clear evaluations of the proposed solutions (based on simulation and/or implementation results) and comparison to state-of-the-art solutions. Papers under review elsewhere are not acceptable for submission. Extended versions of published conference papers (to be included as part of the submission together with a summary of differences) are welcome but there must have at least 40% of new impacting technical/scientific material in the submitted journal version, and there should be less than 50% verbatim similarity level as reported by a tool (such as CrossRef). Guidelines concerning the submission process, LaTeX, and Word templates can be found on?the Author Information page[2]. While submitting through?ScholarOne[3], please select this special-section option. As per?/TETC/?policies, only full-length papers (10-16 pages with technical material, double column ? papers beyond 12 pages will be subject to MOPC, as per CS policies -) can be submitted to special sections. The bibliography should not exceed 45 items and each author?s bio should not exceed 150 words. QUESTIONS? Contact the guest editors at?ftsmltetcss at gmail.com[4]. ? GUEST EDITORS: Shanshan Liu, Northeastern University, USA (IEEE Member) Pedro Reviriego, Universidad Carlos III de Madrid, Spain (IEEE Senior Member) Fabrizio Lombardi, Northeastern University, USA (IEEE Fellow) CORRESPONDING?/TETC/?EDITOR: Patrick Girard, LIRMM, France (IEEE Fellow) Further details are?available?at?https://www.computer.org/digital-library/journals/ec/call-for-papers-special-section-on-to-be-safe-and-dependable-in-the-era-of-artificial-intelligence-emerging-techniques-for-trusted-and-reliable-machine-learning Links: ------ [1] http://www.computer.org/digital-library/journals/ec/call-for-papers-special-section-on-to-be-safe-and-dependable-in-the-era-of-artificial-intelligence-emerging-techniques-for-trusted-and-reliable-machine-learning [2] https://www.computer.org/csdl/journals/ec/write-for-us/15071?title=Author%20Information&periodical=IEEE%20Transactions%20on%20Emerging%20Topics%20in%20Computing [3] https://mc.manuscriptcentral.com/tetc-cs [4] -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed Jul 7 03:52:02 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Wed, 7 Jul 2021 10:52:02 +0300 Subject: Connectionists: First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021): Call for Late Submissions Message-ID: *** Call for Late Submissions *** First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021) November 8-10, 2021, Golden Bay Hotel 5*, Larnaca, Cyprus http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQlGaXJzdCBJbnRlcm5hdGlvbmFsIENvbmZlcmVuY2Ugb24gSUNUIGZvciBIZWFsdGgsIEFjY2Vzc2liaWxpdHkgYW5kIFdlbGxiZWluZyAoSUhBVyAyMDIxKTogQ2FsbCBmb3IgTGF0ZSBTdWJtaXNzaW9ucwk2NTMJR2VvcmdlCTI4CWNsaWNrCXllcwlubw==&url=http%3A%2F%2Fcyprusconferences.org%2Fihaw2021%2F (Proceedings to be published by Springer; Special Session on AAL, see below; Special Journal Issue with SN Computer Science) The call for late submissions has a firm deadline on July 30, 2021 ICT for Health, Accessibility and Wellbeing (IHAW 2021) is the first of the series of International Conferences on "ICT for Societal Challenges". It is a showcase for high quality oral and poster presentations and demonstrations sessions. This conference aims to be a platform for multi and interdisciplinary research at the interplay between Information and Communication Technologies, Biomedical, Neuro-cognitive, and Experimental research. This research includes the design, experimental evaluation and standardization of new ICT scalable systems and in-silico systems for new and future inclusive and sustainable technologies that benefit all: healthy people, people with disabilities or other impairments, people having chronic diseases, etc. User-centered design and innovation, new intuitive ways of human -computer interaction, and user acceptance are the topics of particular interest. Conference Topics Relevant topics include (but are not limited to) the following: ? AI and Cognition, Cognitive Mechatronics, Human-Machine Interaction, Cobotics, Model-based design and configuration tools for healthcare and well-being, AI methods for medical device testing ? Systems for management of health and care (mental health, pain, neurological disorders, sight, hearing, balance, space awareness; sensory based physiological and psychological non-invasive measurements, preventive healthcare, m-healthcare, e-healthcare, integrated care, serious games, electronic health record, self-management, patient-centered systems for survivorship, palliation and/or end-of-life care) ? Precision medicine ? ICT for in-silico trials ? Implantable medical devices ? Computational methods for medical device ? Models for human-device interaction for medicine ? Systems promoting access to the socio-economical and cultural environment ? Age-friendly systems for active and healthy aging (telepresence, robotics solutions, innovative solutions for independent living, innovative elderly care, integrated care, age-related risks prevention/detection) ? Multimodal assistive ICT devices to empower people with sensory, cognitive, motor, balance and spatial impairments ? ICT systems to improve the quality of life and for daily life activities assistance (education, recreation, and nutrition) ? Smart living homes and wearables (Intelligent and personalized digital solutions for sustaining and extending healthy and independent living; personalized early risk detection and intervention) ? New experimental validation methods with end-users ? Standardization, certification, labeling, privacy, security and communication issues (related to aging well, to sensory impairment) High-quality original submissions that address such future issues, show the design and evaluation in (near-) real scenarios, explain how to benchmark systems, and outline the education and training procedures for acquiring new perceptual skills while using such systems are welcome. Research and technical papers are expected to present significant and original contributions validated with the targeted end-users. Early works and works- in-progress are invited to submit a short or demo paper. Submissions should clearly state the progress beyond the existing state-of- the-art and the expected societal benefits of the developed technology. When possible, validate scenarios with the target user groups and well-identified technology readiness levels (https://en.wikipedia.org/wiki/Technology_readiness_level) should be at least outlined. Special Session on Active Assisted Living (AAL) Do you do research or commercial work in the active and healthy ageing area and you want to participate in the discussion driving the future of healthy ageing? Do you have a funded project in the AAL programme and would like to present the results of the project? Then the Special Session on AAL is the perfect opportunity for you to be involved in an ecosystem that promotes active and healthy ageing. This special session at the IHAW 2021 conference aims to bring together the community of healthy ageing to present their results and to discuss the existing opportunities in health technology and reflect on the future of ageing well in the digital world. You will be presented with the opportunity to meet and discuss with several stakeholders from universities, industry, regional and national authorities, private companies working with older adults and many more. You can use the opportunity to showcase the best practices and find solutions to challenges through presentations, discussions, workshops and networking. The Special Session on AAL is the ideal meeting place for presenting the results from cutting-edge, funded AAL projects, as well as independent research or commercial work in the active and healthy ageing area, performed from: ? Universities and research institutions ? End-user organisations and companies working with older adults ? Industry professionals involved in the technology sector with an interest in active and healthy ageing ? Health care and social care providers ? Individuals and organisations implicated in the AAL funded projects The goal of this Special Session is to engage researchers and all relevant stakeholders of the healthy ageing value chain into networking and discussions to present their experiences and provide answers and solutions to problems and issues faced by older adults. This community is of great importance since it drives and aims to achieve better conditions and a healthier and improved society for the future of older adults. The proactive involvement of the community in conceptualising, designing and developing cost-effective systems that offer services to serve our ageing society, as well as the presentation of the solutions and discussion and exchange of ideas in this special session aims to drive and cultivate innovative thinkers, creative people and change makers in the area of active and healthy ageing. Please follow the submission guidelines and important dates as they are stated below and make sure that under the abstract of your submitted paper there is the statement: "Submitted to the Special Session on AAL". Accepted papers will be published by Springer in the CCIS Series. Submissions We invite three types of paper submissions: 1. Research and Technical papers, up to 15 pages, describing original unpublished research, making a substantial contribution to the research field 2. Short papers, up to 6 pages, describing original unpublished research, making a small but solid contribution to the field 3. Demos, up to 4 pages, describing innovative tools that address topics relevant to the conference All submissions will be reviewed by the Program Committee. Accepted contributions will appear in the archival proceedings of IHAW 2021, published by Springer in the Communications in Computer and Information Science (CCIS) series (https://www.springer.com/series/7899), and will be presented in plenary sessions of the conference. The authors of the best papers accepted for IHAW2021 will be invited to submit extended versions for a special issue with SN Computer Science (https://www.springer.com/journal/42979). Submissions of all types should be carefully formatted according to the Springer format for conference proceedings: http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQlGaXJzdCBJbnRlcm5hdGlvbmFsIENvbmZlcmVuY2Ugb24gSUNUIGZvciBIZWFsdGgsIEFjY2Vzc2liaWxpdHkgYW5kIFdlbGxiZWluZyAoSUhBVyAyMDIxKTogQ2FsbCBmb3IgTGF0ZSBTdWJtaXNzaW9ucwk2NTMJR2VvcmdlCTI4CWNsaWNrCXllcwlubw==&url=https%3A%2F%2Fwww.springer.com%2Fgp%2Fcomputer-science%2Flncs%2Fconference-proceedings-guidelines and should specify on the first page the type of submission ("R&T", "Short", "Demo"). The submission process will be handled through Easy Chair and the submission link is: http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQlGaXJzdCBJbnRlcm5hdGlvbmFsIENvbmZlcmVuY2Ugb24gSUNUIGZvciBIZWFsdGgsIEFjY2Vzc2liaWxpdHkgYW5kIFdlbGxiZWluZyAoSUhBVyAyMDIxKTogQ2FsbCBmb3IgTGF0ZSBTdWJtaXNzaW9ucwk2NTMJR2VvcmdlCTI4CWNsaWNrCXllcwlubw==&url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Dicihaw2021 . Important Dates ? Submission Deadline: July 30, 2021 (AoE) (firm) ? Notification: August 23, 2021 ? Camera-Ready Submission Deadline: September 6, 2021 ? Author Registration Deadline: September 6, 2021 Organizers Honorary General Chair ? Edwige Pissaloux, University of Rouen Normandy, France General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Scientific Chair ? Salim Bouhlel, University of Sfax, Tunisia Scientific Vice-Chair and Special Session Chair ? Achilleas Achilleos, Frederick University, Cyprus Publicity Chair ? Ramiro Velazquez, Universidad Panamericana, Mexico Finance Chair ? Petros Stratis, Easy Conferences LTD., Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Jul 7 04:39:14 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 7 Jul 2021 11:39:14 +0300 Subject: Connectionists: Invitation for the 2021 Summer e-School on Deep Learning and Computer Vision, 23-27th August 2021, Aristotle University of Thessaloniki, Thessaloniki, Greece References: <017501d767f9$7fe6aaa0$7fb3ffe0$@csd.auth.gr> <002d01d767fc$50106430$f0312c90$@csd.auth.gr> Message-ID: <178601d7730b$919eb1d0$b4dc1570$@csd.auth.gr> Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2021 Summer e-School on Deep Learning and Computer Vision: http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/ It will take place on 23-27/08/2021 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021, having focus on autonomous drones, cars and marine vessels: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ b) 'Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021, with applications in digital media and autonomous drones: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni < koroniioanna at csd.auth.gr> The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/ 2. AIIA Lab: http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el Course descriptions a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021. http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B (8 hours) Deep learning topic list 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep object detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software development tools b) ''Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021. http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ Part A (8 hours), Deep learning and GPU programming sample topic list 1. Introduction to autonomous systems 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multi-core CPU architectures - GPU programming 4. Image classification with CNNs. 5. CUDA programming Part B (8 hours), Deep Learning for Computer Vision sample topic list 1. Deep learning for object/face detection 2. 2D object tracking 3. PyTorch: Understand the core functionalities of an object detector. Training and deployment. 4. OpenCV programming for object tracking Part C (8 hours), Autonomous UAV cinematography sample topic list 1. Video summarization 2. UAV cinematography 3. Video summarization with Pytorch 4. Drone cinematography with Airsim Sincerely yours Prof. I. Pitas -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From mingbo.cai at gmail.com Wed Jul 7 04:58:43 2021 From: mingbo.cai at gmail.com (Mingbo Cai) Date: Wed, 7 Jul 2021 17:58:43 +0900 Subject: Connectionists: Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task Message-ID: *Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task* We seek a talented neuroscientist with extensive experience in the areas of advanced fMRI analysis, (such as encoding or decoding models) and the design of experiments using naturalistic tasks and assessing spontaneous thoughts. A 2.5-year postdoctoral position is available at Dr. Mingbo Cai?s lab at the International Research Center for Neurointelligence , The University of Tokyo. You will work on an exciting international collaboration project directed by both Dr. Cai and Dr. Nicolas Schuck at Max Planck Institute for Human Development. You will also have the opportunity to collaborate remotely with Dr. Quentin Huys at the University College London. The project will focus on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks. In the later stage of the project, we also plan to examine the clinical implication of differences in spontaneous thoughts. Applicants with experience working on populations with mental disorders are also highly encouraged to apply. The working language is English. The working location is at The University of Tokyo, Japan. Contract duration: renewed annually up until Jan 2024 (future renewal depends on performance and budget), with a probation period of 6 months. Starting date: negotiable Requirements (1) Applicants must hold, or be expected to hold by the time of appointment, a PhD, M.D. or equivalent degree in Neuroscience, Psychology, Psychiatry, Machine Learning, Statistics or related fields. (2) Experience in conducting fMRI experiments and data analysis (evidenced by publications, conference presentations or writing samples). (3) Familiar with at least one of the following tools: AFNI, FSL, nilearn, BrainIAK. (4) Good speaking and scientific writing skills in English. (5) Good programming skills. (6) Willing to collaborate and help colleagues. Requirements 2 and 3 may be replaced by two or three of the preferred skills below: Preferred skills: (1) Research experience with fMRI experiments involving natural tasks and multivariate pattern analysis. (2) Experience with experiments investigating spontaneous thoughts. (3) Research experience with investigations of psychiatric disorders. (4) Knowledge of and experience with deep learning. Application procedure: Please send an email with the title ?[Postdoc Application] + your name? to mingbo[doc]cai[at]ircn[dot]jp. Please include a cover letter describing your background and research interest, a curriculum vitae, and contact information for 2-3 recommendation letters (ideally you can also request your referees to send their letters directly to the above email address). To increase the chance of being considered, we suggest you include writing samples or a copy of a poster or other presentation. Informal inquiry can also be sent to Dr. Cai. Application deadline: The application deadline is July 31. The position will remain open until filled. Review of applications starts as soon as they are received. Mingbo Cai Assistant Professor International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From vikas.garg at aalto.fi Wed Jul 7 16:47:49 2021 From: vikas.garg at aalto.fi (Garg Vikas) Date: Wed, 7 Jul 2021 20:47:49 +0000 Subject: Connectionists: PhD & Postdoctoral positions in AI/ML Message-ID: <04B58EA3-E8BD-412E-A2A6-C327A9517265@aalto.fi> Hi all, We?ve several research positions (PhD & Postdoctoral) available for two of our AI/ML based drug design initiatives. The work will augment and consolidate existing well-developed research pipelines of the supervisors. Selected researchers may also have the opportunity to work with and visit our collaborators at leading pharma companies and academic groups in Europe, USA, and Canada. Project 1: Physics-inspired geometric deep representation learning for drug design Supervisors: Prof. Vikas Garg, Prof. Samuel Kaski, PhD Markus Heinonen (Department of Computer Science, Aalto University) We invite applications for positions in geometric deep learning aimed at advancing state of the art in drug design. Key research directions include new 3D generative models for molecules that reflect their underlying physical-chemical processes and dynamics, spatial constraints, local invariances and equivariances, and energy considerations; domain generalization in both structural and sequence spaces; deep geometric models for inducing diversity in molecular generation; learning with limited training data; and non-autoregressive inference methods. Facility in implementing deep learning models is expected, and training in one or more of the following would be a plus: Statistical Mechanics, Bayesian Learning, Graph Neural Networks, Generative Models, Ordinary and Partial Differential Equations, and Computational Biochemistry. Some representative publications are given below. [1] John Ingraham, Vikas Garg, Regina Barzilay, Tommi Jaakkola. Generative Models for Graph-Based Protein Design. NeurIPS (2019). [2] Vikas Garg, Stefanie Jegelka, Tommi Jaakkola. Generalization and Representational Limits of Graph Neural Networks. ICML (2020). [3] Cagatay Yildiz, Markus Heinonen, Harri L?hdesm?ki. ODE2VAE: Deep generative second order ODEs with Bayesian neural networks. NeurIPS (2019) [4] Pashupati Hegde, Markus Heinonen, Harri L?hdesm?ki, Samuel Kaski. Deep learning with differential Gaussian process flows. AISTATS (2019), notable paper award (top 1%) [5] Kyle Barlow, Shane O Conchuir, Samuel Thompson, Pooja Suresh, James Lucas, Markus Heinonen, Tanja Kortemme. Flex ddG: Rosetta Ensemble-Based Estimation of Changes in Protein-Protein Binding Affinity Upon Mutation. Journal of Physical Chemistry B, 122(21):5389-5399 (2018) Project 2: Probabilistic modelling for collaborative human-in-the-loop design Supervisors: Prof. Samuel Kaski, Prof. Vikas Garg, PhD Markus Heinonen (Department of Computer Science, Aalto University) We are looking for a doctoral student interested in developing probabilistic modelling and inference methods needed for complex design tasks, with drug design as a case study. The idea is to help experts steer the modelling system towards their design goals, while eliciting their prior knowledge to improve the models of the drugs. This is difficult because the goals may be tacit, uncertain and evolving. Another postdoc will develop the new molecular models for drugs, to which you are welcome to contribute. This will be a transformative project, resulting in a virtual drug design laboratory. Key methods we will need: probabilistic modelling and Bayesian inference, multi-agent modelling, sequential experimental design, POMDPs, reinforcement learning and inverse reinforcement learning. We expect applicants to master some of these, or be exceptionally eager and quick learners. [1] Celikok et al. Teaching to Learn: Sequential Teaching of Agents with Inner State. arXiv:2009.06227 [2] Mikkola et al. Projective Preferential Bayesian Optimization. ICML 2020 [3] Peltola et al. Machine Teaching of Active Sequential Learners. NeurIPS 2019 [4] Kangasr??si? et al. Parameter inference for computational cognitive models with Approximate Bayesian Computation. Cognitive Science 43 (2019): e12738. Best regards, Vikas -------------- next part -------------- An HTML attachment was scrubbed... URL: From yuliasid at ucm.es Wed Jul 7 11:32:27 2021 From: yuliasid at ucm.es (YULIA SIDOROVA) Date: Wed, 7 Jul 2021 18:32:27 +0300 Subject: Connectionists: REGISTRATION for ECML PKDD 2021 (Virtual) Message-ID: **Our apologies if you receive multiple copies of this REGISTRATION announcement for** the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain (VIRTUAL). https://2021.ecmlpkdd.org/ 13th to the 17th of September 2021. ****************************************************************** --- The registration deadlines for authors, Research & Applied Data Science: 10 July, 2021. --- For other types of registration, check https://2021.ecmlpkdd.org/?page_id=1751 --- For any information about "Registration" and "Payment of the congress fee", as well as request of invoices, please contact ecmlpkdd2021 at pacifico-meetings.com ************************************************ SCOPE: This event is the premier European machine learning and data mining conference. ECML-PKDD 2020 will be a virtual-only conference, facilitated by a conference app (whova), pre-recording to allow for advance viewing of the talks (slideslive), poster sessions (gathertown), live Q&A sessions, and more. Delegates will be able to actively participate in all main-tracks of the conference, and workshop organizers and tutorial speakers are encouraged (and offered the tools) to do the same. STRUCTURE: Research and Applied Data Science Tracks, Industry Track, Discovery Challenge, Tutorials, and Workshops. KEYNOTE SPEAKERS: Jie Tang, Tsinghua University, WuDao: Pretrain the World. Susan Athey, Stanford Graduate School of Business, The Value of Data for Personalization. Joaquin Qui?onero Candela, Facebook, AI fairness in practice. Marta Kwiatkowska, University of Oxford, Safety and robustness for deep learning with provable guarantees. ORGANIZING COMMITTEE: Jose A. Lozano, Basque Center for Applied Mathematics, Spain Nuria Oliver, Vodafone and Data-Pop Alliance, UK Fernando Perez-Cruz, Swiss Data Science Center, Switzerland Stefan Kramer, Johannes Gutenberg Universitat Mainz, Germany Jeese Read, Ecole Polytechnique, France Yuxiao Dong, Facebook AI, Seattle Nicolas Kourtellis, Telefonica Research, Barcelona, Spain Barbara Hammer, Bielefeld University, Germany Sergio Escalera, Universitat de Barcelona, Spain Heike Tratmaun, Universitat Munster, Germany Annalisa Appice, Universita degli Studi di Bari, Italy Jose A. Gamez, Universidad de Castilla-La Mancha, Spain Inaki Inza, University of the Basque Country, Spain Alexander Mendiburu, University of the Basque Country, Spain Santiago Mazuelas, Basque Center for Applied Mathematics, Spain Aritz Perez, Basque Center for Applied Mathematics, Spain Sophie Burkhardt, Johannes Gutenberg Universitat Mainz, Germany Julia Sidorova, Universidad Complutense de Madrid, Spain Alipio Jorge, University of Porto, Portugal Yun Sing Koh, University of Auckland, New Zealand Tania Cerquitelli, Politecnico di Torino, Italy Jeronimo Hernandez, Spanish National Research Council, Spain Zahra Ahmadi, Johannes Gutenberg Universitat Mainz, Germany Paula Brito, Universidade do Porto, Portugal Dino Ienco, Univ. Montpellier, France Miguel Veganzones, AI, Sherpa.ia Sabri Skhiri, Eura Nova Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg, Germany Joao Gama, University of Porto, Portugal Olatz Hernandez Aretxabaleta, Basque Center for Applied Mathematics, Spain SPONSORS: Google, ASML, IKERLAN, KNIME. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jul 8 02:30:11 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 8 Jul 2021 09:30:11 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Bernhard_Sch?= =?utf-8?b?w7Zsa29wZjog4oCcU3ltYm9saWMsIFN0YXRpc3RpY2FsLCBhbmQgQ2F1?= =?utf-8?q?sal_Representations=E2=80=9D=2C_13th_July_2021_17=3A00-1?= =?utf-8?q?8=3A00_CET=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <00e701d76da9$e4a15d40$ade417c0$@csd.auth.gr> <001301d76dad$e5447e40$afcd7ac0$@csd.auth.gr> <013101d76daf$adb0f9c0$0912ed40$@csd.auth.gr> <00b601d76e56$bc5b45a0$3511d0e0$@csd.auth.gr> Message-ID: <1cdf01d773c2$b4bffe50$1e3ffaf0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Bernhard Sch?lkopf is Director of the Max Planck Institute for Intelligent Systems in T?bingen, Germany and holds a Professorship at ETH Zurich, Switzerland. He is prominent top-cited AI researcher internationally and will deliver the e-lecture: ?Symbolic, Statistical, and Causal Representations?, on Tuesday 13th July 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/event_cat/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/93712449902 & Password: 148148 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). This lecture will conclude the Spring 2021 series of 12 very successful and very well attended AI Excellence lectures offered by AIDA. Lecture pdfs and videos can be found in: http://www.i-aida.org/event_cat/ai-lectures/ The next round of AIDA AI Excellence lectures series will start in September 2021. The 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. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.jenssen at uit.no Thu Jul 8 03:36:29 2021 From: robert.jenssen at uit.no (Robert Jenssen) Date: Thu, 8 Jul 2021 07:36:29 +0000 Subject: Connectionists: PhD positions and researcher position in machine learning for health at UiT The Arctic University of Norway Message-ID: We are hiring extensively The current positions are part of a project granted as an interdisciplinary initiative to support the strategy of UiT. The project is called "Consortium for Patient-Oriented AI" and will act in synergy with our big centre for research-based innovation Visual Intelligence http://visual-intelligence.no which is rooted in the UiT Machine Learning Group http://machine-learning.uit.no For more information about the positions, please see https://www.jobbnorge.no/en/available-jobs/job/207177/phd-fellow-in-machine-learning https://www.jobbnorge.no/en/available-jobs/job/206790/researcher-in-machine-learning https://www.jobbnorge.no/en/available-jobs/job/206735/phd-fellow-in-computer-science-computational-pathology Deadlines for the first two positions are July 20th, and for the third July 29th. Best wishes, -Robert --- Robert Jenssen, Professor @jenssen_robert - SFI Visual Intelligence, Director http://visual-intelligence.no @SFI_VI UiT Machine Learning Group http://machine-learning.uit.no Dept. Physics and Technology UiT The Arctic University of Norway Dept. Computer Science University of Copenhagen Dept. Statistical Analysis, Machine Learning and Image Analysis Norwegian Computing Center -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Thu Jul 8 03:48:29 2021 From: doya at oist.jp (Kenji Doya) Date: Thu, 8 Jul 2021 07:48:29 +0000 Subject: Connectionists: Call for Visiting Scholars in Theoretical Sciences at OIST (Application by August 15) Message-ID: <5086B636-4207-4F8C-9C8E-F6E20EA575B3@oist.jp> We are pleased to announce Visiting Scholars in Theoretical Sciences at OIST for a flexible term of 1 to 12 months as below. ***** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 1 to 12 months taken continuously starting between October 2021 and March 2022 with a preference for longer-term visitors. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of their research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp at oist.jp To apply, please go to our Interfolio page, http://apply.interfolio.com/88541 ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From michael.felsberg at liu.se Thu Jul 8 06:00:16 2021 From: michael.felsberg at liu.se (Michael Felsberg) Date: Thu, 8 Jul 2021 10:00:16 +0000 Subject: Connectionists: Assistant Professor (tenure track) in Machine Learning Message-ID: <5111661fa7864dad23d30ab95900bf3556707198.camel@liu.se> Link?ping University (Sweden) is looking for good candidates for positions as Assistant Professor (tenure track) in Machine Learning with welcome package (2 PhD students, postdoc). Deadline is October 1, for further details, see https://liu.se/en/article/open-positions-at-isy Note also that Swedish Universities grant their employees keeping their IPR, which is perfect for own entrepreneurship! Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile:+46 702 202460 Link?ping University email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden http://users.isy.liu.se/cvl/mfe/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4823 bytes Desc: not available URL: From lars.schwabe at uni-hamburg.de Thu Jul 8 08:51:33 2021 From: lars.schwabe at uni-hamburg.de (Lars Schwabe) Date: Thu, 8 Jul 2021 14:51:33 +0200 Subject: Connectionists: Post-doc in Cognitive Neuroscience at University of Hamburg, Germany Message-ID: <26dbddc5-966a-1846-a73f-83a9fa04e973@uni-hamburg.de> The Cognitive Psychology lab at the University of Hamburg (Germany) directed by Dr. Lars Schwabe is seeking a post-doctoral fellow interested in Cognitive and/or Affective Neuroscience. Our lab focusses on the impact of emotion and stress on learning, memory and decision-making. We use a broad range of methods, ranging from fMRI, EEG, fNIRS, TMS to psychopharmacology or cognitive modelling, to elucidate the cognitive and neural mechanisms underlying the influence of stress and emotion on cognitive functions. For further information on our lab, please visit: https://www.psy.uni-hamburg.de/en/arbeitsbereiche/kognitionspsychologie.html The successful candidate will join an open and dynamic research environment that provides excellent access to all state-of-the-art methods in human cognitive neuroscience. There are great opportunities to initiate individual research projects based on the person's interests (sufficient project funds will be provided). The position will include 3 hours of teaching per week (during the summer and winter terms). The successful candidate is further expected to supervise BSc/MSc students and to acquire further funding for own research projects This is a full-time employment for 3 years, with the possibility of a 3-year extension after positive evaluation. Starting date: negotiable, preferred October 1^st , 2021 The successful applicant will have excellent knowledge in the fields of Psychology and Cognitive Neuroscience, excellent statistical knowledge, excellent programming skills (preferentially in MATLAB or Phython), and expertise in EEG and/or fMRI analysis. Experience in additional research techniques and/or cognitive modelling are a plus. The successful applicant should have strong scientific credentials that confirm the ability to conduct high?quality peer-reviewed research. Good command of English, both spoken and written, is a requirement. Knowledge of German is a plus but not required. We are committed to fostering an inclusive and diverse environment, and seek applications from all qualified individuals from all demographics and backgrounds. Please send your application ? including your CV, all relevant academic certificates, and two letters of reference ? directly to Dr. Lars Schwabe at Lars.Schwabe at uni-hamburg.de . *Application deadline: July 18th, 2021* -- Prof. Dr. Lars Schwabe University of Hamburg Institute of Psychology Department of Cognitive Psychology Phone: +49-40-42838-5950 Web: https://www.psy.uni-hamburg.de/en/arbeitsbereiche/kognitionspsychologie/personen/schwabe-lars.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.j.palmeri at vanderbilt.edu Thu Jul 8 09:06:29 2021 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Thu, 8 Jul 2021 13:06:29 +0000 Subject: Connectionists: Two open-rank faculty positions in data science at Vanderbilt Message-ID: Two open-rank faculty positions in data science at Vanderbilt. Please distribute and share with anyone who might be interested. ***************************************************************************************************************************** Open-Rank Position in Quantitative Methods and Data Science (in Vanderbilt?s Peabody College and Vanderbilt?s Data Science Institute) Vanderbilt?s Peabody College of Education and Human Development together with Vanderbilt?s Data Science Institute invites applicants for an open-rank (tenure-track or tenured) faculty position with joint appointment in both the Quantitative Methods Program within Peabody College and the Data Science Institute (DSI). This search is part of a two-position hire spanning Peabody College and the DSI, and is also part of a broader multi-year faculty hiring initiative in the data sciences at Vanderbilt. We seek candidates whose research involves developing innovative data science methods that interface with and relate to quantitative psychology in order to advance the emergent fields of behavioral data science and educational data science. Possible areas of methodological research specialization could include machine learning, data mining, computational methods for statistically modeling high-dimensional neurobiological/brain imaging data, and methods for social science genomic analyses (e.g., for genome-wide association studies with behavioral/educational implications). Applications are encouraged from individuals whose research interests span and translate between the fields of traditional quantitative psychology methods, machine learning/data mining, and/or computer science. A methodological specialization with broad application and connection to ongoing research at Peabody College is desirable as is capacity for effectively presenting complex technical content in a clear and understandable manner. Candidates should have an excellent record of research productivity, a strong commitment to inclusive teaching of a diverse population of students at the graduate and undergraduate levels, potential for securing external funding, and an earned doctorate in quantitative behavioral/social science or a related data science discipline. We particularly welcome applicants interested in teaching courses that complement and expand the quantitative methods program offerings in Peabody College, including courses on data science methods; on statistical consulting; and on data visualization and wrangling. The candidate?s tenure home will be in Peabody College and they will also be a core member of Vanderbilt's DSI, reinforcing ongoing connections between Peabody College and the DSI. As such the candidate will contribute to the research and teaching mission of the DSI, ideally fostering research collaborations with scholars from across the five departments within Peabody College as well as with other faculty working on data science-related topics. The position?s responsibilities for the DSI entail teaching an annual data science methods course in either Vanderbilt?s master?s program in data science or Vanderbilt?s newly created undergraduate data science minor . DSI methods courses are taught via a computational/resampling pedagogical approach using R and/or Python. DSI teaching needs currently include a graduate team-project-driven applications of data science methods course, and an undergraduate foundations of data science methods course. Beyond Vanderbilt?s Data Science Institute and Peabody?s Quantitative Methods Program, there is a wealth of additional quantitative expertise embedded in the wider Vanderbilt community for networking, collaboration, and faculty development. This includes: Biostatistics ,Peabody?s Educational Neuroscience Program , Big Biomedical Data Science , Scientific Computing , the Genetics Institute , the Kennedy Center Data Science Core , and Computer Science , as well as a broad commitment to teaching excellence supported by our innovative Center for Teaching . Vanderbilt University is located in Nashville, TN , one of the fastest-growing and culturally rich metropolitan areas in the U.S. Peabody is one of the top-rated Colleges of Education and Human Development in the U.S., with relatively small class sizes, a strong institutional commitment to diversity and inclusivity in all areas, competitive salary, and excellent benefits. Application materials received by September 15th, 2021 will be given full consideration. Applications should include a cover letter, curriculum vitae, at least 3 letters of recommendation, a research statement, teaching statement, a statement on commitment to equity, diversity, and inclusion, a summary of prior collaborative projects, and relevant additional supplemental material (e.g., publications, student evaluation summaries, etc.). Applications may be submitted at https://apply.interfolio.com/88574 . Requests for information should be sent to QM/DSI search chair Sonya Sterba sonya.sterba at vanderbilt.edu . Vanderbilt University values diversity and welcomes applications from individuals with diverse backgrounds. Vanderbilt is an affirmative action/equal opportunity employer. Vanderbilt University has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University recently announced that students, faculty, and staff, are required to be vaccinated against COVID. As a prospective and/or a new employee at Vanderbilt, you will be required to comply with the University?s vaccination protocol. Effective, August 1, 2021, proof of full vaccination or an approved accommodation will be required before the start of employment in order to work at Vanderbilt University. Accommodations for medical and religious exemptions can be requested with the Equal, Opportunity and Access Office https://www.vanderbilt.edu/eoa/ . ***************************************************************************************************************************** Open-Rank Position in Applied Data Science in Education (in Vanderbilt?s Peabody College and Vanderbilt?s Data Science Institute) Peabody College of Vanderbilt University seeks applicants for an open rank (tenured or tenure-track) position in Applied Data Science in Education. The successful applicant will have a research record that demonstrates an ability to apply the tools of data science to key problems in research on education and human development. These data science tools may include working with unstructured or high-dimensional data, computing, automation, natural language processing, machine learning, neuroimaging, and artificial intelligence. The committee seeks a diverse applicant pool and candidates from a wide variety of disciplinary backgrounds. The committee is particularly interested in individuals who study student outcomes--such as learning, progression, and attainment--in a variety of domains including but not limited to: learning analytics, policy analysis, critical quantitative analysis, predictive analytics in education settings, or educational neuroscience (e.g. analysis of high-dimensional brain imaging data). Candidates should possess an exemplary record of scholarly accomplishment commensurate with their rank. Applicants must have a demonstrated capacity to work collaboratively with colleagues and students from a wide range of cultural, disciplinary, and academic backgrounds. Evidence of excellent classroom instruction is required for consideration. The capacity to attract external funding is strongly preferred. Candidates should either have a Ph.D. or be expected to complete their Ph.D. by May 2022. This position is part of a two-position hire spanning Peabody College and the DSI, and is also part of a broader multi-year faculty hiring initiative in the data sciences at Vanderbilt. Candidates will be core members of Vanderbilt's recently established Data Science Institute (DSI) and will be expected to contribute to the research and teaching mission of the institute, ideally fostering research collaborations with existing faculty across academic departments working on data science-related topics. The candidate will also join one of Peabody?s five departments and will be expected to teach undergraduate and graduate courses in their home department as part of their appointment. The position?s responsibilities for the DSI entail teaching an annual data science methods course in either Vanderbilt?s master?s program in Data Science or Vanderbilt?s newly created undergraduate Data Science minor . All DSI methods courses are taught via a computational approach using R and/or Python. Teaching needs currently include a foundations of data science methods and/or a project-driven applications of data science methods course, both of which include foci on data manipulation, visualization, dimension reduction, machine learning, shrinkage, cross-validation, and re-sampling methods. Candidates should submit a letter of application that describes how the candidate applies data science to education research; CV; teaching statement; statement that describes how the candidate?s cultural, experiential, and/or academic background contributes to their understanding of diversity and inclusion; and three letters of recommendation. Review of applications will begin September 15, 2021, and the search will continue until the position is filled. The anticipated start date is August 2022. Please apply at the following link: https://apply.interfolio.com/88030 . Please direct questions to the search chairs Brent Evans (b.evans at vanderbilt.edu ) and Will Doyle (w.doyle at vanderbilt.edu ). Vanderbilt University has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University recently announced that students, faculty, and staff, are required to be vaccinated against COVID. As a prospective and/or a new employee at Vanderbilt, you will be required to comply with the University?s vaccination protocol. Effective, August 1, 2021, proof of full vaccination or an approved accommodation will be required before the start of employment in order to work at Vanderbilt University. Accommodations for medical and religious exemptions can be requested with the Equal, Opportunity and Access Office https://www.vanderbilt.edu/eoa/ . -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1620 bytes Desc: not available URL: From johan.suykens at esat.kuleuven.be Thu Jul 8 10:06:20 2021 From: johan.suykens at esat.kuleuven.be (Johan Suykens) Date: Thu, 8 Jul 2021 16:06:20 +0200 Subject: Connectionists: Postdoc positions KU Leuven (ERC Advanced grant E-DUALITY) In-Reply-To: <6ca285bb-9c9f-29f9-6ad2-af7df02981f5@esat.kuleuven.be> References: <6ca285bb-9c9f-29f9-6ad2-af7df02981f5@esat.kuleuven.be> Message-ID: <4fae1e12-869a-d614-8a95-18b1e6fb6d01@esat.kuleuven.be> The research group KU Leuven ESAT-STADIUS is currently offering 2 Postdoc (1 year, extendable) positions within the framework of the ERC (European Research Council) Advanced Grant E-DUALITY http://www.esat.kuleuven.be/stadius/E (PI: Johan Suykens) on Exploring Duality for Future Data-driven Modelling. Within this ERC project E-DUALITY we aim at realizing a powerful and unifying framework (including e.g. kernel methods, support vector machines, deep learning, networks, tensor-based models and others) for handling different system complexity levels, obtaining optimal model representations and designing efficient algorithms. The research positions relate to the following possible topics: -1- Duality principles -2- Multiple data sources and coupling schemes -3- Manifold learning and semi-supervised schemes -4- Optimal prediction schemes -5- Scalability, on-line updating, interpretation and visualization -6- Mathematical foundations -7- Matching model to system characteristics For further information and on-line applying, see https://www.kuleuven.be/personeel/jobsite/jobs/60043434 (click EN for English version). The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including data-driven modelling, neural networks and machine learning, nonlinear systems and complex networks, optimization, systems and control, signal processing, bioinformatics and biomedicine. From hussain.doctor at gmail.com Thu Jul 8 19:08:48 2021 From: hussain.doctor at gmail.com (Amir Hussain) Date: Fri, 9 Jul 2021 00:08:48 +0100 Subject: Connectionists: UK EPSRC COG-MHEAR: Postdoctoral research & PhD opportunities In-Reply-To: References: Message-ID: Dear all, **Please forward to potentially interested candidates - applications deadline: 11 July 2021** The School of Computing at Edinburgh Napier University (ENU) has a number of openings as part of the UK Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant: COG-MHEAR (https://cogmhear.org). COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. It includes academic partners from 7 UK Universities and a strong User-Group comprising industrial and clinical collaborators, and end-user engagement organisations (including Sonova, Nokia-Bell Lab, Deaf Scotland and RNID UK). The ambitious COG-MHEAR programme aims to develop the world?s first multi-modal hearing-aid demonstrator by radically exploiting and integrating the transformative potential of privacy-assuring and explainable AI, 5G, IoT, and cybersecurity, coupled with flexible (skin-based) electronics. *(1) **COG-MHEAR research fellow:* https://www.jobs.ac.uk/job/CGS355/research-fellow (closing date: 11 July 2021) *(2) **COG-MHEAR research assistant: * https://jobs.napier.ac.uk/mthrprod_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID%3d615611Cj5o&WVID=4376296Olf (closing date 11 July 2021) *(3) **3X Fully-funded **COG-MHEAR PhD studentships: https://cogmhear.org/assets/COG-MHEAR-studentships.pdf *(closing date: 11 July 2021 ? applications will continue to be accepted until all positions are filled) *(4) *Forthcoming* (up to 50% full-time) COG-MHEAR Senior Research Fellow / Programme Manager post - *informal enquiries welcome. Many thanks, Amir -- Professor Amir Hussain Programme Director: EPSRC COG-MHEAR (https://cogmhear.org) Editor-in-Chief: Cognitive Computation (Springer Nature - http://springer.com/12559 - 2021 JCR Impact Factor: 5.4) Director: Centre for AI and Data Science, School of Computing, Edinburgh Napier University, UK https://www.napier.ac.uk/people/amir-hussain -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at aalto.fi Thu Jul 8 14:28:07 2021 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Thu, 8 Jul 2021 18:28:07 +0000 Subject: Connectionists: Postdoc positions in Probabilistic modelling and Bayesian machine learning in Helsinki Message-ID: <023F3960-ECCB-4DAD-9A64-9D487CEF004A@aalto.fi> I am looking for postdocs in Helsinki, to work on Probabilistic modelling and Bayesian machine learning, and applications in drug design, collaborative human-in-the-loop design, precision medicine and clinical trials. See topics H20-H23 at https://www.hiit.fi/calls/postdoc-and-research-fellow-postions-summer-2021/ The positions are in Aalto PML group https://research.cs.aalto.fi/pml/ My colleagues have some great positions in that joint call as well. Best regards, Samuel Kaski, Professor, Aalto University, Finland, and University of Manchester, UK Director, Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki Research Director, Christabel Pankhurst Institute for Health Technology https://people.aalto.fi/samuel.kaski Tel: +358 50 3058694 From samuel.kaski at aalto.fi Thu Jul 8 14:27:22 2021 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Thu, 8 Jul 2021 18:27:22 +0000 Subject: Connectionists: =?utf-8?q?Postdoc_and_research_fellow_positions_i?= =?utf-8?q?n_artificial_intelligence_and_machine_learning_=E2=80=93_Finnis?= =?utf-8?q?h_Center_for_Artificial_Intelligence_FCAI?= Message-ID: <881279C8-FEE5-4712-8384-C28BA646890B@aalto.fi> Postdoc and research fellow positions in artificial intelligence and machine learning ? Finnish Center for Artificial Intelligence FCAI (Helsinki, Finland) Are you an ambitious researcher looking for a postdoc or research fellow position? You now have an excellent opportunity to join us in creating new techniques for AI-assisted decision-making, design and modeling. This includes both new machine learning principles and AI tools. We are launching a set of virtual laboratories to transform how research and development is done in several fields, from atmospheric research to autonomous traffic. While the models and tasks will be domain-specific, the AI-assisted tools that we create can be used across these laboratories. We offer positions in seven topics that contribute to these laboratories from different angles, and we hope you will bring in your expertise. Our international research environment provides you with a number of possibilities to collaborate with companies and academic partners and supports your growth as a researcher. We welcome applicants with diverse backgrounds, and qualified female candidates are explicitly encouraged to apply. The deadline for applications is August 9, 2021 (midnight Finnish time). Read more and apply here: https://fcai.fi/we-are-hiring From d.bach at ucl.ac.uk Fri Jul 9 04:33:49 2021 From: d.bach at ucl.ac.uk (Dominik R. Bach) Date: Fri, 9 Jul 2021 09:33:49 +0100 Subject: Connectionists: =?utf-8?q?Post_doc_in_Cognitive-Computational_Mod?= =?utf-8?q?elling_at_UCL_=28Dominik_Bach=29_in_collaboration_with_MPI_T?= =?utf-8?q?=C3=BCbingen_=28Peter_Dayan=29_-_1_week_left_to_apply?= In-Reply-To: References: Message-ID: <6c7bf4cd-f78e-9e77-e8de-b6d50a636f47@ucl.ac.uk> *Post doc in Cognitive-Computational Modelling at University College London: discrete and continuous human action control under threat* We are looking for a research fellow in an ERC-funded research project "Action selection under threat - the complex control of human defence" led by Dominik Bach (http://bachlab.org ) at University College London in collaboration with Peter Dayan, Max-Planck-Institute for Biological Cybernetics in T?bingen (https://www.kyb.tuebingen.mpg.de/de/computational-neuroscience ). The position will be based at Max-Planck UCL Centre for Computational Psychiatry (https://www.mps-ucl-centre.mpg.de/en ) and Wellcome Centre for Human Neuroimaging (http://www.fil.ion.ucl.ac.uk/ ). The overarching goal of the project is to understand the cognitive-computational control of human action selection under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will build explicit computational models of discrete and continuous action control and action updating under constraints of time pressure and unaffordable costs. These will be tested by the experimentalists in our interdisciplinary team, composed of VR experts, psychologists, and movement scientists. There is a possibility to get involved in the experimental work, including behavioural experiments, motion capture and OPM-MEG. Within the topical focus, the project offers unique freedom to explore and develop novel directions and formalisms at the interface of classical discrete-space decision models and continous action control. We seek applicants with established cognitive-computational modelling skills and a PhD in computational neuroscience, robotics with focus on action planning, computer science/mathematics/physics with a focus on decision science, or in a related area. We are looking for an individual who is strongly motivated to pursue an academic career and is excited by the opportunities for personal and career development this position can provide. The post is available from October 2021 and funded for up to 3 years with initial appointment for 1 year. Starting salary is on UCL grade 7, ranging from ?36,028 to ?43,533 per annum, inclusive of London Allowance, superannuable. More information and access to the UCL online application portal: https://is.gd/VwTJCA Please contact d.bach at ucl.ac.uk for any queries about the project or role. *Closing date: 16 July 2021* Interviews will be held remotely in July. Apologies for cross-posting. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow Max Planck UCL Centre for Computational Psychiatry and Ageing Research Wellcome Centre for Human Neuroimaging, University College London http://bachlab.org | @bachlab_cog -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Fri Jul 9 05:00:01 2021 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Fri, 9 Jul 2021 11:00:01 +0200 (CEST) Subject: Connectionists: Extended deadline (August 31st, 2021) OSNEM Special Issue: Information and Opinion Diffusion in Online Social Networks and Media Message-ID: <20210709090001.9485F163008B@magneto.iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on Information and Opinion Diffusion in Online Social Networks and Media ****** EXTENDED SUBMISSION DEADLINE ******** Submission Deadline: August 31st, 2021 ******************************************** http://www.journals.elsevier.com/online-social-networks-and-media/ ------------------------------------------------------------------------------ Information diffusion in Online Social Networks and Media (OSNEM) has a major role, among many others, for recommendation systems, advertising, and political campaigns. Moverover, the way information circulates in OSNEM impacts on the formation of opinions and on the social roles of users and their influence on others. The OSNEM role in information and opinion diffusion has dramatically increased since the emergence of the COVID-19 pandemic, with many physical activities being "migrated" to the online world. OSNEM are extensively used for spreading information, opinions and ideas, but also to propagate fake news and rumors and these threats to trust in information are posing even more serious socio-economic challenges during the pandemic. Therefore, prevention of spam, bots and fake accounts, information leakage, trustworthiness of information and trust between users are relevant research issues associated with information diffusion. Investigating ways through which information and opinion spread can be controlled (e.g., by modifying the underlying network structure) is also fundamental. This special issue seeks contributions pushing the state of the art in all facets of information and opinion diffusion in Online Social Networks and Media. We solicit manuscripts where quantitative and/or data-driven approach is used to investigate information and opinion diffusion in OSNEM. Topics include, but are not limited to: - Dynamics of trends, information and opinion diffusion in OSNEM - Recommendations and advertising in OSNEM - Spread of news, topics, and opinions - Trust, reputation, privacy in OSNEM information and opinion diffusion - Rumors and fake news spreading in OSNEM - Information and disinformation diffusion in OSNEM at the time of COVID-19 - Opinion formation, diffusion and polarization related to COVID-19 - Bots and fake users detection - Influence analysis and social influence - Identification of diffusion sources and influencers - Methods to modify/control/maximise information and opinion diffusion - Measurements of information and opinion diffusion in OSNEM - Models of information and opinion diffusion - Data-driven approaches to study information and opinion diffusion in OSNEM Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: August 31st, 2021 First notification: October 31th, 2021 Expected publication: Q4, 2021 - Q1, 2022 Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select ''VSI: Information and Opinion'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ''info diffusion''. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at osnem at iit.cnr.it From jose at rubic.rutgers.edu Fri Jul 9 08:06:18 2021 From: jose at rubic.rutgers.edu (Stephen =?ISO-8859-1?Q?Jos=E9?= Hanson) Date: Fri, 09 Jul 2021 08:06:18 -0400 Subject: Connectionists: Brain Connectivity, Dynamics, and Complexity--please submit abtracts--deadline extended Message-ID: We are still looking for a few more submissions especially related to Resting state and fMRI..theoretical papers as well. The deadline is extended for submission till Aug 1. https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynamics-and-complexity send queries through the website. thanks. Steve Hanson -- Stephen Jos? Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB) From Donald.Adjeroh at mail.wvu.edu Fri Jul 9 10:09:22 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 9 Jul 2021 14:09:22 +0000 Subject: Connectionists: Call for Participation: Summer Workshop on AI & Smart Health (July 22-23, 2021) In-Reply-To: References: , Message-ID: We apologize if you receive multiple copies. As part of the NSF Track-2 project on "Multi-Scale Integrative Approach to Digital Health: Collaborative Research and Education in Smart Health in West Virginia and Arkansas" (http://community.wvu.edu/~daadjeroh/projects/cresh/ ) we would like to announce a Summer Workshop on AI & Data Science in Smart Health. The workshop will be from July 22 - 23, 2021. This will be held remotely as a virtual workshop. Workshop is free, with no registration fee. Please visit the website: https://community.wvu.edu/~daadjeroh/projects/cresh/activity/workshop2021/ for more information on the workshop, and to register. Please help us to forward this to students, colleagues, and others that may be interested. Regards, Don Adjeroh, PhD Professor and Associate Chair Graduate Coordinator of Computer Science West Virginia University Morgantown, WV 26506 http://community.wvu.edu/~daadjeroh/ Tel: 304-293-9681 Fax: 304-293-8602 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fbln at ecomp.poli.br Sat Jul 10 07:45:39 2021 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Sat, 10 Jul 2021 08:45:39 -0300 Subject: Connectionists: Final weeks for submissions (Paper & Thesis) for 7th IEEE LA-CCI (Chile, on-line) Message-ID: ***** Apologies for multiple copies of this email & feel free to distribute it. ***** Final weeks of the *Paper* and *Thesis* competition submissions for the IEEE Latin American on Computational Intelligence (LA-CCI). This 7th Edition (in Chile) will be on-line and is packed with interesting stuff. *Consider this:* Great speakers, reduced registration fees, all on-line, 6-page papers, Interesting discussion (e.g. gender and indigenous peoples on CI), Best papers will be invited for a special issue of 'Neural Computing & Applications Journal' (Impact factor 4.77), all papers indexed by IEEE?s Xplore. WEBSITE => http://la-cci.org/ SUBMISSIONS => http://laccichair.com/ (Important: because COVID, there will be a small flexibility on the deadline) Cordially, Prof. Dr. Fernando Buarque, BSc MSc DIC-PhD(Imperial College(UK) Hab(BR) SM IEEE(USA) Humboldt-Fellow(DE) Fellow-Academy of Science (PE/BR) -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Sun Jul 11 05:22:18 2021 From: junfeng989 at gmail.com (Jun Feng) Date: Sun, 11 Jul 2021 17:22:18 +0800 Subject: Connectionists: [Submission Deadline: Aug. 1][10+ Special Issues] CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 17-19, Haikou, China Message-ID: [Submission Deadline: Aug. 1][10+ Special Issues] CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 17-19, Haikou, China http://www.ieee-cybermatics.org/2021/dependsys/ IEEE DependSys 2021 conference is the 7th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2021 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. IEEE Transactions on Intelligent Transportation Systems SI on Graph-based Machine Learning for Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_db671bf4e4eb4a41ac1cf6da14a77750.pdf 2. IEEE Transactions on Intelligent Transportation Systems SI on Data Science for Cooperative Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_de7a6f420a2b4c6d894e4de63e495624.pdf 3. IEEE Transactions on Network Science and Engineering SI on The Nexus Between Edge Computing and AI for 6G Networks https://www.comsoc.org/publications/journals/ieee-tnse/cfp/nexus-between-edge-computing-and-ai-6g-networks 4. IET Communications SI on Intelligent Metasurfaces for Smart Connectivity https://digital-library.theiet.org/files/IET_COM_CFP_IMSC.pdf 5. Security and Communication Networks SI on Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications https://www.hindawi.com/journals/scn/si/926306/ 6. MDPI Sensors SI on Recent Advances in Algorithm and Distributed Computing for the Internet of Things https://www.mdpi.com/journal/sensors/special_issues/Algorithm_Distributed_Computing_IOT * More special issues will be added later. ================== Important Dates ================== Workshop Proposal Due: 1 August, 2021 Paper Submission Deadline: 1 September, 2021 Authors Notification: 1 October, 2021 Final Manuscript Due: 1 November, 2021 Conference Date: 17-19 December, 2021 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (http://www.ieee-cybermatics.org/2021/dependsys/) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Stephen S. Yau, Arizona State University, USA - Zheng Yan, Xidian University, China and Aalto University, Finland - Willy Susilo, University of Wollongong, Australia Program Chairs - Bin Song, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Haikou, China, Haikou, China - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From heinrich.stefan at ircn.jp Sun Jul 11 10:04:09 2021 From: heinrich.stefan at ircn.jp (Stefan Heinrich) Date: Sun, 11 Jul 2021 23:04:09 +0900 Subject: Connectionists: Deadline extension: CFP Workshop on Spatio-temporal Aspects of Embodied Predictive Processing - STEPP @ ICDL2021 Message-ID: <7c48699b-014a-f651-3ee6-405702db7aa9@ircn.jp> Call For Contributions - Workshop on Spatio-temporal Aspects of Embodied Predictive Processing - STEPP @ IEEE ICDL2021 Deadline extended! Aims and Scope: Understanding human intelligence and building strong AI systems is a key challenge for our generation. A particularly puzzling aspect is that the human brain seems to cope very well with the highly variable and uncertain nature of perception and action, regarding both their signal characteristic and how they extend over time. Furthermore, it seems apparent that the information processing in the brain always involves previous bodily experiences and all our senses, thus is embodied and crossmodal. For explaining these characteristics, there are strong accounts that the brain is constantly predicting sensory input and feedback while minimising free energy in the prediction and is hierarchically abstracting the perception as well as hierarchically composing action. Furthermore, it is also hypothesised that mechanistic priors in the brain?s information processing induce a failure of hierarchical inference in the brain, accounting for atypical perception and action of psychiatric disorders. For example, some brains might have developed to focus too strongly on current sensory input while others might focus too strongly on memorised previous experience. A typically developed brain, in contrast, would show a fine balance compared to these two extreme priors. The big open mystery is: how is the brain developing this on a mechanistic level and thus how can this get learned within an AI system? Thus, to lift this mystery, we further need to bring together research from computational neuroscience, cognitive psychology, and artificial intelligence. With this workshop, we particularly want to wrap up different recent hypotheses, models, and experiments and discuss in-depth how to shape future imaging, behavioural, and developmental robotics studies as a complement to computational modelling and bio-inspired artificial intelligent algorithms. As a guiding theme, we aim to approach the following central questions: - How does the brain learn spatio-temporal stochasticity in perception and action? - What is the role of priors in learning spatio-temporal adaptive prediction? - How can developmental robotics help us to study spatio-temporal stochasticity as an analogy to infant learning? We examine these questions with the insight from invited key speakers from complementary fields as well as original contributions in breakout sessions in order to conclude the next steps within in a panel discussion. All information online: https://sites.google.com/view/stepp21/home Keynotes/Panellists: - Jun Tani, Cognitive Neurorobotics, Okinawa Institute of Science and Technology (OIST) - Marcel van Gerven, Artificial Cognitive Systems, Donders Institute, Radboud University - Takuya Isomura, Brain Intelligence Theory, RIKEN Center for Brain Science - Takamitsu Watanabe, Brain Network Dynamics, International Research Center for Neurointelligence (IRCN), The University of Tokyo Contributions: We invite submissions of extended abstracts on ongoing research that focuses on one or several of our guiding questions as contributions. In addition to the live presentation and discussion during the workshop, the contributions will be made public in workshop proceedings. - Extended abstract submission deadline: 25.07.2021 (extended) - Decision & Notification: 01.08.2021 (latest) - Camera-ready version due: 08.08.2021 - Workshop online: 22.08.2021 Submission website: https://sites.google.com/view/stepp21/ => Contribute Organisers: Stefan Heinrich, IRCN, The University of Tokyo, Japan Shingo Murata, Dept. Electronics and Electrical Engineering, Keio University, Japan Yukie Nagai, IRCN & Institute for AI and Beyond, The University of Tokyo, Japan Yuichi Yamashita, National Center of Neurology and Psychiatry, Japan -- ************************************************************* Dr. Stefan Heinrich Postdoctoral Project Researcher Cognitive Developmental Robotics Lab The University of Tokyo, Institutes for Advanced Studies, International Research Center for Neurointelligence Email: heinrich.stefan at ircn.jp https://developmental-robotics.jp/en/members/stefan_heinrich/ https://ircn.jp/en/ https://stefanheinrich.net/ ************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_0x3F7E078F1EF07893.asc Type: application/pgp-keys Size: 1769 bytes Desc: OpenPGP public key URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_signature Type: application/pgp-signature Size: 495 bytes Desc: OpenPGP digital signature URL: From harald.maurer at uni-tuebingen.de Sat Jul 10 02:33:11 2021 From: harald.maurer at uni-tuebingen.de (Harald Maurer) Date: Sat, 10 Jul 2021 08:33:11 +0200 Subject: Connectionists: NEW BOOK: Cognitive Science: Integrative Synchronization Mechanisms in Cognitive Neuroarchitectures of the Modern Connectionism Message-ID: <20210710083311.Horde.IgoeOoc6joCe_bKLdoJD2Pj@webmail.uni-tuebingen.de> Dear Members, I am pleased to announce the publication of the following book: Cognitive Science: Integrative Synchronization Mechanisms in Cognitive Neuroarchitectures of the Modern Connectionism, published by CRC Press. Book Description: The Mind and Brain are usually considered as one and the same nonlinear, complex dynamical system, in which information processing can be described with vector and tensor transformations and with attractors in multidimensional state spaces. Thus, an internal neurocognitive representation concept consists of a dynamical process which filters out statistical prototypes from the sensorial information in terms of coherent and adaptive n-dimensional vector fields. These prototypes serve as a basis for dynamic, probabilistic predictions or probabilistic hypotheses on prospective new data (see the recently introduced approach of "predictive coding" in neurophilosophy). Furthermore, the phenomenon of sensory and language cognition would thus be based on a multitude of self-regulatory complex dynamics of synchronous self-organization mechanisms, in other words, an emergent "flux equilibrium process" ("steady state") of the total collective and coherent neural activity resulting from the oscillatory actions of neuronal assemblies. In perception it is shown how sensory object informations, like the object color or the object form, can be dynamically related together or can be integrated to a neurally based representation of this perceptual object by means of a synchronization mechanism ("feature binding"). In language processing it is shown how semantic concepts and syntactic roles can be dynamically related together or can be integrated to neurally based systematic and compositional connectionist representations by means of a synchronization mechanism ("variable binding") solving the Fodor-Pylyshyn-Challenge. Since the systemtheoretical connectionism has succeeded in modeling the sensory objects in perception as well as systematic and compositional representations in language processing with this vector- and oscillation-based representation format, a new, convincing theory of neurocognition has been developed, which bridges the neuronal and the cognitive analysis level. The book is available at https://www.routledge.com/Cognitive-Science-Integrative-Synchronization-Mechanisms-in-Cognitive-Neuroarchitectures/Maurer/p/book/9781138487086. The table of contents can be viewed on my account at ResearchGate. Best regards, Dr. Harald Maurer Institute of Computer Science University of Tuebingen From yuva2257 at gmail.com Mon Jul 12 03:26:58 2021 From: yuva2257 at gmail.com (Yuvaraj Rajamanickam) Date: Mon, 12 Jul 2021 15:26:58 +0800 Subject: Connectionists: Call for Chapter for Springer Book by M. Murugappan and R. Yuvaraj (Editors) Message-ID: Dear Researchers, Good day to you. Currently, we are accepting the high-quality book chapters for our upcoming edited book in *Springer,* titled, *Biomedical signal-based computer-aided diagnosis for neurological disorders*. Please find the CFP below for more information. We invite you and your network connections to consider submitting a high-quality paper related to the aim and scope of this book for possible publication. If possible, you could share this CFP in your network for their possible contribution. Please feel free to contact us, if you have any questions. Thank you. Best wishes M.Murugappan, R Yuvaraj (Editors). Regards YUVARAJ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Biomedical signal-based computer aided diagnosis for neurological disorders.pdf Type: application/pdf Size: 263675 bytes Desc: not available URL: From alessio.ferone at uniparthenope.it Mon Jul 12 03:34:08 2021 From: alessio.ferone at uniparthenope.it (ALESSIO FERONE) Date: Mon, 12 Jul 2021 07:34:08 +0000 Subject: Connectionists: =?utf-8?b?V0lMRjIwMjEg4oCTIFNlY29uZCBDZlAg4oCT?= =?utf-8?q?_Keynote_speakers_announced?= Message-ID: <62F95E1D-E897-406A-9F0B-A1FC04E49B83@uniparthenope.it> ... Apologies for multiple posting ... Back together again! ------------------------------------------------------------------- Workshop WILF 2021 (13th International Workshop on Fuzzy Logic and Applications) from Dec. 20th to Dec. 22th at Vietri sul Mare (SA), Italy (IIASS) and online For full information: https://sites.google.com/view/wilf-2021/home ------------------------------------------------------------------- NEWS Keynote speakers: * Humberto Bustince (Public University of Navarra, Spain) * Extensions of fuzzy integrals and applications to the computational brain * Scott Dick (University of Alberta, Canada) * Fuzzy Logic and XAI: Past, Present, and Some Thoughts on the Future * Didier Dubois (IRIT, France) * Fuzzy sets: the legacy and its future Important Dates * Paper submission: July 30, 2021 * Notification of acceptance + early registration opening: October 29, 2021 * Special Issue submission opening: November 1, 2021 (tentative) * Camera-ready + early registration deadline: November 26, 2021 * EUSFLAT student grant applications: November 26, 2021 * Late registration deadline: t.b.d. * Special Issue submission deadline: January 28, 2022 * Special Issue publication: Fall 2022 Aim and Scope The 13th International Workshop on Fuzzy Logic and Applications (WILF 2021) covers all topics in theoretical, experimental and applied Fuzzy and Computational Intelligence techniques and systems. It is aimed to bring together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances in this field, and to demonstrate the state-of-the-art systems. Three types of talks The main aim of WILF 2021 is to allow scientific communication and fruitful exchange of opinions. A lightweight approach is adopted to foster participation and promote the exchange of ideas. To provide room for discussing present, past and future research topics, the following types of talks are called for: * Regular communications - Current, unpublished work that is being presented for the first time. * Ideas - New research directions, opinions, position talks: promising or interesting work that does not fit the standards for conventional publication. * Research highlights - Talks summarising work that was recently (3 years) published in prominent journals, intended to increase awareness about interesting work Publication * Short-form papers for all presentations will be published in a volume of CEUR Workshop Proceedings in the AI*IA proceedings series (http://ceur-ws.org/aixia.html). * Special Issues of high-rank journals will be organised as a follow-up for possible submission of full papers on the topics of the workshop. EUSFLAT Student grants EUSFLAT will provide four students with a 150? grant. Organizing Committee * Angelo Ciaramella - Universit? degli Studi di Napoli Parthenope, Italy * Corrado Mencar - Universit? degli Studi di Bari Aldo Moro, Italy * Susana Montes - Universidad de Oviedo, Spain * Stefano Rovetta - Universit? degli Studi di Genova, Italy Steering Committee * Angelo Ciaramella - University of Naples Parthenope, Italy * Antonio Di Nola - University of Salerno, Italy * Luis Magdalena - Universidad Politecnica de Madrid, Spain * Francesco Masulli - University of Genova, Italy * Gabriella Pasi - University of Milan Bicocca, Italy * Witold Pedrycz - University of Alberta, Canada Contact wilf.2021.vsm at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Mon Jul 12 04:34:09 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Mon, 12 Jul 2021 16:34:09 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Late-Breaking Results Message-ID: <5442cc82.db2.17a99da2868.Coremail.jiangdm@nwpu.edu.cn> Call for Late-Breaking Results *************************************** ACM ICMI 2021: Call for Late-Breaking Results https://icmi.acm.org/2021/index.php?id=cflbr 18-22 Oct 2021, Montreal, Canada *************************************** Call for Late-Breaking Results Based on the success of the LBR in the past ICMI 18-20, the ACM International Conference on Multimodal Interaction (ACM ICMI) 2021 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of the LBR venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. For online paper submissions, please click on the following link: https://new.precisionconference.com/user/login?society=sigchi Highlights Submission deadline: August 1st, 2021 Notifications: August 27th, 2021 Camera-ready deadline: September 18th, 2021 Conference Dates: October 18-22, 2021 Submission format: Anonymized, short paper (four pages not including references), following the submission guidelines Selection process: Peer-Reviewed Presentation format: Participation in the conference poster session Proceedings: Included in Adjunct Proceedings and ACM Digital Library LBR Co-chairs: Babak Taati (University of Toronto and University Health Network) and Nadia Berthouze (University College London) What are Late-Breaking Results? Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are ?significant? revisions from the original, as per the ACM and ACM SIGCHI policies. Submission Guidelines Extended Abstract: An anonymized short paper, four-page paper, not including references, in the ICMI format (http://icmi.acm.org/2021/index.php?id=authors). The paper should be submitted in PDF format and through the ICMI submission system in the "Late-Breaking Results" track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted. Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person. Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it ?fits? the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Attendence Similar rules for registration and attendance will be applied for authors of LBR papers than for regular papers. Further information will be available later on. Questions? For more information and updates on the ICMI 2021 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2021/index.php?id=cflbr. For further questions, contact the LBR co-chairs (Babak Taati, Nadia Berthouze) at icmi2021-latebreaking-chairs at acm.org ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From ieee.besc2021 at gmail.com Mon Jul 12 07:24:56 2021 From: ieee.besc2021 at gmail.com (Md Rafiqul Islam) Date: Mon, 12 Jul 2021 21:24:56 +1000 Subject: Connectionists: Call For Papers (BESC-2021) Message-ID: Dear Colleague, We would like to invite you to submit your paper to *The 8th International Conference on Behavioural and Social Computing, [VIRTUAL CONFERENCE], hosted by Hamad Bin Khalifa University, Doha, Qatar, October 29-31 , 2021**. *Flyer of the call for paper is attached with this email. All accepted and presented papers will be included in IEEE Xplore and submitted for indexing in DBLP, Scopus, Google Scholar, and EI etc. Top-quality papers will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer) Social Network Analysis and Mining (Springer), Web Intelligence, Information Discovery and Delivery, IEEE Transactions on Computational Social Systems, Human-Centric Intelligent Systems. The conference website: *http://besc-conf.org/2021/* *Important dates:* Submission of papers: 30 Jul 2021 Acceptance notification: 15 Sep 2021 Camera ready: 5 Oct 2021 Conference date: 29-31 Oct 2021 Thank you so much for your kind support in this conference. Wajdi Zaghouani, HBKU, Qatar Xiaohui Tao, University of Southern Queensland, Australia Raian Ali, HBKU, Qatar Guandong Xu, University of Technology Sydney, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: BESC-2021 Flyer.pdf Type: application/pdf Size: 244580 bytes Desc: not available URL: From leslie.perez at pucv.cl Mon Jul 12 19:17:20 2021 From: leslie.perez at pucv.cl (Leslie Angelica Perez Caceres) Date: Mon, 12 Jul 2021 20:17:20 -0300 Subject: Connectionists: First Call for Papers: EvoCOP 2022 - The 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation Message-ID: (Apologies for cross-posting) ************************************************************************************* First Call for Papers: EvoCOP 2022 - The 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2022/evocop/ April 20 - 22, 2022 held as part of EvoStar (http://www.evostar.org) Venue: *Somewhere On Earth!* ** EvoCOP is now CORE Rank B ** Submission deadline: November 1, 2021 ************************************************************************************* The 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains. Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning and search-based software engineering. The EvoCOP 2021 conference will be held somewhere on Earth, together with EuroGP (the 24th European Conference on Genetic Programming), EvoMUSART (the 10th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (the 24th European Conference on the Applications of Evolutionary Computation), and a new special track on Evolutionary Machine Learning in a joint event collectively known as EvoStar (Evo*). Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. (See https://link.springer.com/conference/evocop for previous proceedings.) The best regular paper presented at EvoCOP 2022 will be distinguished with a Best Paper Award. EvoCOP conference is now ranked B in the CORE 2021 ranking: http://portal.core.edu.au/conf-ranks/2195/ **** Areas of Interest and Contributions **** EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas: * Applications of metaheuristics to combinatorial optimisation problems * Theoretical developments * Neighbourhoods and efficient algorithms for searching them * Variation operators for stochastic search methods * Constraint-handling techniques * Parallelisation and grid computing * Search space and landscape analyses * Comparisons between different (also exact) methods * Automatic algorithm configuration and design Prominent examples of metaheuristics include (but are not limited to): * Evolutionary algorithms * Estimation of distribution algorithms * Swarm intelligence methods such as ant colony and particle swarm optimisation * Artificial immune systems * Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking * Hybrid methods such as memetic algorithms * Matheuristics (hybrids of exact and heuristic methods) * Hyper-heuristics and autonomous search * Surrogate-model-based methods Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications. **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 16 pages Submission link: coming soon The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference, attend the conference and present the work. **** Important Dates **** Submission deadline: November 1, 2021 EvoStar: April 20-22, 2022 **** EvoCOP Programme Chairs **** Leslie P?rez C?ceres Pontificia Universidad Cat?lica de Valpara?so, Chile leslie.perez at pucv.cl S?bastien Verel Universit? du Littoral C?te d'Opale (ULCO), France verel at univ-littoral.fr -- Leslie P?rez C?ceres Profesora Asociada Escuela de Ingenier?a Inform?tica Pontificia Universidad Cat?lica de Valpara?so http://zeus.inf.ucv.cl/~lperez -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe at imse-cnm.csic.es Mon Jul 12 14:35:07 2021 From: bernabe at imse-cnm.csic.es (bernabe) Date: Mon, 12 Jul 2021 20:35:07 +0200 Subject: Connectionists: Young post-doc neuromorphic position at Sevilla Microelectronics Institute, Spain. Message-ID: <2c8217a0-d7cb-c31c-53da-2c26bd76119a@imse-cnm.csic.es> *Young post-doc neuromorphic position at IMSE* The "Instituto de Microelectr?nica de Sevilla" (IMSE) has an opening for a 3-year young post-doc position to join the Neuromorphic Group at IMSE (www.imse-cnm.csic.es/neuromorphs), financed by the Andalusian Regional Government. Gross annual salary is 30k?, which allows for a wealthy life in Sevilla, Spain. Requirements: - Official PhD graduation date must be after June 2016, although earlier dates are possible in case of leaves due to pregnancies, child birth, adoption, major accident or disease. - Deadline for candidacy submission is end of July. Prospective candidates please contact us at bernabe at imse-cnm.csic . - More details here: The IMSE Neuromorphic Group develops research in Silicon chips and FPGAs for neuromorphic hardware with stronger focus on vision applications. We have developed several DVS (Dynamic Vision Sensor) cameras as well as cortical processing systems and spiking based learning techniques. In the last years we have strongly engaged into exploiting memristors for neuromorphic hardware and have designed full monolithic CMOS-memristive neuromorphic systems. We welcome both, candidates with more hardware profile (either analog or digital) as well as with more computing profile. The successful candidate can participate in any of the active research projects in the group (see www.imse-cnm.csic.es/neuromorphs), can also develop alternative research lines within the neuromorphic field, participate in grant proposals, and advice PhD and MSc students. Please do redistribute. Deadline is very short. Thanks. -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: firma_blb.png Type: image/png Size: 72205 bytes Desc: not available URL: From hocine.cherifi at gmail.com Tue Jul 13 03:41:44 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 13 Jul 2021 09:41:44 +0200 Subject: Connectionists: COMPLEX NETWORKS 2021 Madrid Deadline September 01, 2021 Message-ID: *10th** International Conference on Complex Networks & Their Applications* *Madrid, Spain *November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until September 01, 2021. Due to the global COVID-19 pandemic, COMPLEX NETWORKS 2021 will be held in the form of hybrid event (online & in-person). *SPEAKERS * ? Marc Barth?l?my CEA France ? Ginestra Bianconi Queen Mary University of London UK ? Jo?o Gama University of Porto Portugal ? Dirk Helbing ETH Z?rich Switzerland ? Yizhou Sun UCLA USA ? Alessandro Vespignani Northeastern University USA *TUTORIALS (November 29, 2021)* ? Elisabeth Lex Graz University of Technology Austria ? Giovanni Petri ISI Foundation Italy *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 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)* Templates are available on the submission webpage. If in doubt, please contact the Publication Chair (matteo.zignani at unimi.it) All contributions should be submitted via EasyChair . Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks 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 and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex 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 Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.hennig at ed.ac.uk Tue Jul 13 08:22:12 2021 From: m.hennig at ed.ac.uk (Matthias H. Hennig) Date: Tue, 13 Jul 2021 13:22:12 +0100 Subject: Connectionists: ML Lecturer/Reader (Assist/Assoc Prof), Informatics, U Edinburgh, 25 Aug deadline Message-ID: <1a1bcd28-6345-4cc0-78e1-9266bc426ae9@ed.ac.uk> Dear all, We welcome applications to the following machine learning faculty position: https://bit.ly/3AZBxSg Deadline: 25 August 2021, 4pm UTC Applications are invited for an academic position in machine learning in the School of Informatics at the University of Edinburgh, as part of a continuing expansion in Machine Learning and Artificial Intelligence. A lectureship is a full-time academic position roughly equivalent to an assistant professorship in other countries; a reader is roughly equivalent to associate professor. We seek candidates with research interests in the development of cutting-edge machine learning methods. Candidates will have a research interests in principled approaches to machine learning, novel developments in deep learning, machine learning for new or important tasks, and/or the development of novel methods of wide applicability and with state-of-the-art capability. The University of Edinburgh has one of the largest academic machine learning research groups in Europe. We also benefit from close links to groups in Maths and Statistics, and other active areas of artificial intelligence in the School, including natural language processing, speech processing, robotics, and computer vision. The School of Informatics is host to the UKRI/EPSRC Centres for Doctoral Training in Biomedical Artificial Intelligence, in Natural Language Processing, and in Robotics and Autonomous Systems. The adjacent Thomas Bayes Centre for Data Technology is the home for data-driven applied and translational research at Edinburgh. The University is one of the five founding partner universities in the UK's Alan Turing Institute for Data Science, providing opportunities to interact with Turing PhD students, research fellows and senior researchers. In addition, the University has just established one of the first ELLIS units, which are recognized centres of excellence in AI research across Europe. In addition, there are many opportunities to engage with other parts of the University and beyond in order to further the candidate's research agenda. The successful candidate(s) will have a PhD; experience as an established researcher in the theory and application of machine learning methods; enthusiasm to undertake original research including leading a research group; ability to engage with undergraduate and postgraduate teaching and academic supervision. Lecturer: UE08 - ?41,526 - ?49,553pa Reader: UE09 - ?52,559 - ?59,135pa Deadline: 25 August 2021, 4pm UTC For full details and to apply, see: https://bit.ly/3AZBxSg Informal enquiries may be addressed to Dr Matthias Hennig (m.hennig at ed.ac.uk) or Professor Iain Murray (I.Murray at ed.ac.uk) -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From justin.svegliato at gmail.com Tue Jul 13 16:32:42 2021 From: justin.svegliato at gmail.com (Justin Svegliato) Date: Tue, 13 Jul 2021 16:32:42 -0400 Subject: Connectionists: [CFP] IROS 2021 Workshop on Building and Evaluating Ethical Robotic Systems (ERS 2021) Message-ID: Call For Papers: IROS 2021 Workshop on Building and Evaluating Ethical Robotic Systems (ERS 2021) Website: https://ers-workshop.com/ Submission Deadline: August 6, 2021 (AoE) Submission Link: https://easychair.org/conferences/?conf=ers2021 Contact: ers.workshop at gmail.com *===Workshop Overview===* The deployment of robotic systems has been accelerating in many domains that have a substantial impact on society. For example, robotic systems have been proposed for applications that range from elder care and autonomous driving to nuclear energy production and military technology. However, while our ability to build robotic systems that integrate into our daily lives has expanded over the years, it has outstripped our ability to build robotic systems that can account for the large number of different ethical considerations that may arise during operation. This workshop therefore focuses on building and evaluating ethical robotic systems at every level of the robotics stack while broadening the scope of areas that should be considered by researchers, such as how users can interact with new and existing technology or how legislators can develop actionable standards and regulations. ERS 2021 aims to bring together researchers from academia and industry to discuss key challenges, learn from real-world case studies, identify potential research avenues, explore recent technical advances, present novel data sets, and survey existing work related to ethical robotic systems. Given this aim, we invite contributions that draw from a range of methods in artificial intelligence and robotics, such as deep learning, planning, reinforcement learning, machine learning, human-robot interaction, safety, explainability, transparency, formal verification, social preferences, and human factors. Most importantly, we welcome researchers from disciplines beyond robotics, including philosophy, psychology, sociology, and law, in order to represent diverse perspectives on building and evaluating ethical robotic systems. Relevant research topics include but are not limited to: - Value alignment in robotic systems - Cultural, political, and societal impacts of robotics - Methods for analyzing the ethical implications of autonomous systems - Moral reasoning in autonomous systems - Safe, transparent, explainable, or interpretable deep learning systems - Ethical compliance in robotic systems - Ethically sensitive design and implementation of autonomous systems - Human-compatible or beneficial AI systems - Law, regulation, and governance of robotics - Challenges of building and evaluating ethical robotic systems - Ethical models and algorithms in robotic systems - Impacts of robotics on vulnerable groups - Novel data sets or test suites for ethical robotic systems *===Workshop Format===* This is a virtual IROS workshop that will include invited speakers, oral presentations of accepted papers, poster sessions of accepted papers, discussion sessions, and moderated panels. *===Submission Guidelines===* We encourage a range of submission types to facilitate broad participation: - Highlight Paper (up to 2 pages) - Short Technical Paper (up to 4 pages) - Full Technical Paper (up to 6 pages) - Position Paper (up to 4 pages) - Case Study Paper (up to 6 pages) - Survey Paper (up to 8 pages) *Best Paper Award:* A paper will be awarded the ERS 2021 Best Paper Award based on a vote among the organizers and the program committee of the workshop. The authors of the best paper will receive a cash prize and a printed certificate at the end of the workshop. *Additional Details:* Papers published, accepted, or under review at other conferences can be submitted and presented at the workshop subject to the conference guidelines. There is no page limit for references and supplementary materials. Submissions should be in PDF and follow the IROS 2021 format guidelines. All accepted papers will be included in an electronic, non-archival proceedings. *===Important Dates===* - Paper Submission: August 6, 2021 (AoE) - Author Notification: August 20, 2021 - Camera-Ready Submission: TBD *===Invited Speakers===* - Ron Arkin, Georgia Tech - Francesca Rossi, IBM - Matthias Scheutz, Tufts University - Ben Kuipers, University of Michigan - Bertram Malle, Brown University *===Organizers===* - Paul Bello, Naval Research Laboratory - Louise Dennis, University of Manchester - Dylan Hadfield-Menell, MIT - Samer Nashed, UMass Amherst (Co-Chair) - Justin Svegliato, UMass Amherst (Co-Chair) - Alan Winfield, UWE Bristol -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at princeton.edu Tue Jul 13 09:57:51 2021 From: battleday at princeton.edu (Ruairidh McLennan Battleday) Date: Tue, 13 Jul 2021 14:57:51 +0100 Subject: Connectionists: Symposium on Neuroscience of Mathematics, call for papers Message-ID: Symposium on the Mathematics of Neuroscience. ICNAAM, Rhodes, 20-26th September 2021. Two decades into the 21st century, can we claim to be any closer to a unified model of the brain? In this exploratory symposium, we invite submissions for short talks and posters presenting general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. The symposium will be held at the applied mathematics conference ICNAAM 2021, to be held on the island of Rhodes, Greece from the 20-26th of September 2021 (www.neuromonster.org). Submission is by extended abstract before the 15th August, sent to the organizers Prof Dan V. Nicolau Jr ( dan.nicolau at qut.edu.au) and Dr Ruairidh M. Battleday ( battleday at princeton.edu) and following the guidelines outlined in https://icnaam.org/abstract.htm. -- Dr. Ruairidh McLennan Battleday, BMBCh (Oxon) MA Cognitive Science Fellow Computational Cognitive Science Lab, Department of Computer Science Princeton University Department of Statistics St John's College University of Oxford -------------- next part -------------- An HTML attachment was scrubbed... URL: From anna3.mura at gmail.com Tue Jul 13 11:48:52 2021 From: anna3.mura at gmail.com (anna mura) Date: Tue, 13 Jul 2021 17:48:52 +0200 Subject: Connectionists: Connectionist: CfP Living Machines Conference 2021. 27-30 July 2021 Message-ID: Dear colleagues, please feel free to circulate this post. ------------------------------------------------------------------------------------------------------------------------------------------ *Living Machine: The 10th International Conference on Biomimetic and Biohybrid Systems* 27 ? 30 July 2021. Due to the COVID-19 pandemic, the 2021 event will be online to assure continuity of the Living Machines conference, community engagement, and support. http://livingmachinesconference.eu/2021 -------------------------------------------------------------------------------------------------------------------------- *About **L**iving **M**achines 202**1* The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant, and efficient solutions to unsolved science and engineering challenges. Biohybrid systems are formed by combining at least one biological component?an existing living system?and at least one artificial, newly-engineered component. Bypassing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The conference theme also encompasses biomimetic methods for manufacture, repair, and recycling inspired by natural processes such as reproduction, digestion, morphogenesis, and metamorphosis. *Program and Participation** to **the 2021 special edition "10 years of L* *iving **M**achines**".* *For the 10th edition of the conference, **we seek to highlight the most exciting international fields of research united by the theme of "Living Machines". * This special edition will be dedicated to reflecting on how the field of Living Machines has evolved over the last 10 years and how it will progress in the next 10 years. For this reason, we will have retrospective and prospective contributions from leaders in the field. *Conference **Registration*. *Attendance to the plenary talks and workshops will be granted upon registration and will **be free.* ------------------------------------------------------------------------------------------------------------------------ *The Living Machines 2021 program includes:* *One day Plenary Speakers* 27, July 2021 - 10:00 -18:00 UTC As this special edition features the 10 years of Living Machines, plenary speakers will highlight the relevant contributions to the fields of biomimetics and biohybrid systems and help to address two main questions: have these fields evolved in the last 10 years? What will be their unique challenges and expected progress in the next 10 years, and how will they impact society? Invited speakers: *Paul Verschure*, IBEC, ICREA, ES - *Tony Prescott*, University of Sheffield, UK, *Mark Cutkosky*, Stanford University in California, US - *Barbara Mazzolai,* Italian Institute of Technology, IT - *Roger Quinn*, Case Western Reserve University, US - *Holger Krapp*, University College London, UK *Three-days of dedicated Workshops* (two workshops per day) 28-30 July 2021 - 13:00 UTC Active researchers in biomimetic and biohybrid systems are invited to participate in full or half-day workshops on Living Machines related themes Invited speakers will give either give a short presentation or a live demonstration of their work. Registration can be done directly via the Living Machines web page, and w orkshops attendees must register for each workshop they wish to attend. https://livingmachinesconference.eu/2021/ 28 July 2021 *Bio-inspired Locomotion * We will bring together biologists and roboticists to explore the design and control of living machines for the purpose of locomotion in the natural world. This workshop will cover both biomechanics and neural organization, and how the systems work together to achieve effective interactions with the physical environment. Organizers: *Alexander Hunt*, Portland State University , US - ajh26 at pdx.edu 28 July 2021 *Perspective for softrobotics: the field's past and future* The soft robotics workshop will be focused on answering five questions concerning the past and future of soft robots: how to produce them; make them move, sense and think; and how to educate using soft robots? With a concluding discussion about the field's challenges for the next 5 to 10 years. Organizers: *Falk Tauber*, University of Freiburg, DE - falk.tauber at biologie.uni-freiburg.de *Marc Desmulliez*, Heriot-Watt University, UK - M.Desmulliez at hw.ac.uk 29 July 2021* Plant functions, hybrid systems, and plantrobotics * This workshop is a great platform to discuss plant functions that can inspire robotics, as well as hybrid systems in which living plants become key components interacting with artificial technologies. Organizers: *Fabian Meder*, Italian Institute of Technology - fabian.meder at iit.it 29 July 2021 *Invertebrate robotics, aka "no backbone, no problem" * Scientists have used invertebrates as model to test and validate robots of different kinds. In this workshop, we will explore the work done at the intersection of robotics and the world of invertebrates and highlight the most advanced approaches where interactions between the two fields have achieved relevant insights. Organizers: *Michael** Mangan*, University of Sheffield, UK - m.mangan at sheffield.ac.uk *Nicholas **Szczecinski*, West Virginia University , US nss00001 at mix.wvu.edu 30 July 2021 *It's Alive!: Biohybrid robots made from livingmaterials * *.* The workshop will bring together speakers in tissue engineered biohybrid robots, bacteriobots, and cyborgs to discuss 10-years of progress in biohybrid robotics and future challenges in the field. The workshop will conclude with a panel with all of the speakers to discuss the next 10-years of biohybrid robotics and living machines. Organizers: *Vickie Webster-Wood*, Carnegie Mellon University , US - vwebster at andrew.cmu.edu *Masahiro Shimizu*, Osaka University, Japan - shimizu at sys.es.osaka-u.ac.jp 30 July 2021* Neuro Robotics * This workshop will address embodied autonomous systems, synthetic neural systems and the control principles underlying embodied perception, cognition and action. Organizers: *Uriel **Martinez*-Hernandez, University of Bath, UK u.martinez at bath.ac.uk *Vicky Vouloutsi*, Technology Innovation Institute, UAE vicky.vouloutsi at tii.ae ------------------------------------------------------------------------------------------------------------------------ *Conference Steering* *C**ommittee* - Paul Verschure, IBEC, BIST, ICREA, CSN foundation, ES - Tony Prescott, University of Sheffield, CSN foundation, UK - Thomas Speck, University of Freiburg, DE - Marc Desmulliez, Heriot-Watt University, UK - Jose Halloy, Paris Diderot University, FR - Masahiro Shimizu, Osaka University, JP - Nathan Lepora, University of Bristol , UK - Roger Quinn, Case Western Reserve University, US - Joseph Ayers, Northeastern University , US - Mark Cutkosky, Stanford University in California, US - Barbara Mazzolai, Italian Institute of Technology (IIT), IT - Cecilia Laschi, Scuola Superiore Sant'Anna (SSSA), Italy - Koh Hosoda, Osaka University, JP - Minoru Asada, Osaka University, JP - Anna Mura IBEC, BIST Barcelona, CSN Foundation, ES *Communication** and **local organizer committee* - Anna Mura, IBEC, Barcelona, CSN Foundation (General Organization) - Falk Tauber, Cluster of Excellence *liv**Mat*S, University of Freiburg (Online Connection) - *Contact* info at convergentsciencenetwork.org ______________________ Dr. Anna Mura - PhD SPECS (Synthetic, Perceptive, Emotive and Cognitive Systems) http://www.ibecbarcelona.eu/specs @SPECS-lab Institute for Bioengineering of Catalonia (IBEC) Av. Eduard Maristany, 16 08019 Barcelona Campus Diagonal Bes?s, Edifici C, floor 6 Tel +34 934012545 Joins us 9th Living Machines conference in Freiburg, Germany (28-31 July 2020) 13th Barcelona Cognition, Brain, Technology summer school (Sept 2020) -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Wed Jul 14 05:05:11 2021 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 14 Jul 2021 14:35:11 +0530 Subject: Connectionists: Fortnight Away (IEEE XPlore & NCAA, Springer) Message-ID: Dear friends, This is to gently remind you that the deadline for submission of manuscripts for *2021 8th Intl Conference on Soft Computing & Machine Intelligence (ISCMI21)*, an event *in memory of life & work of Prof. Lotfi Zadeh*, is approx. *2 weeks away.* Apart from the possibility of uploading the proceedings of the conference at *IEEE Xplore* (as done successfully for all the previous conferences in this series), scope exists for the extended versions of a subset of conference proceedings papers to be published at *NCAA, a Springer Publication (2020 Impact Factor: 5.606 & 5 yr. IF of 5.573).* For more info, do visit http://iscmi.us Due to continuous covid disturbances, ISCMI21 would be held in *virtual format*. Hope you will take this opportunity & consider submissions (if not already) of your manuscripts. Thanks & regards, Suash Deb General Chair, ISCMI21 -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Wed Jul 14 05:59:52 2021 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 14 Jul 2021 15:29:52 +0530 Subject: Connectionists: 2021 IICCI Prof. Lotfi Zadeh Memorial lecture Message-ID: Dear esteemed colleagues, This is to share with you that *Prof. Janusz Kacprzyk*, a close associate of late Prof. Lotfi Zadeh & a leading scientist in the field of fuzzy sets & fuzzy logic, will be delivering the 2021 IICCI Prof. Lotfi Zadeh Memorial Lecture this year during the ISCMI21 conference http://iscmi.us/Memorial%20Lecture.html Names of the previous speakers can be found by visiting http://www.iicci.in/speakers.html Due to covid pandemic, the lecture for this year will be delivered in virtual mode. Let us join Prof. Kacprzyk online on 27th Nov, 2021 to pay tribute to this extraordinary scientist & his extensive contributions in the field of Soft Computing & Machine Intelligence. For more info, pls. contact Ms. Nancy Liu, the secretary of ISCMI21 at sub at iscmi.us Thanks & rgds, Suash Deb General Chair, ISCMI 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Wed Jul 14 08:52:23 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Wed, 14 Jul 2021 14:52:23 +0200 Subject: Connectionists: VISMAC2020 Phd summer school - REGISTRATION DEADLINE APPROACHING [25 July 2021] Message-ID: <00c43974-8b78-99a6-aa3b-f562eca7bd9d@unifi.it> Call for Participation - VISMAC2020 === Apologies for multiple posting === Please distribute this call to interested parties ____________________________________________ V I S M A C (VISione delle MACchine) [in English, "Machine Vision"] International Summer School 21-24 September 2021, Palermo, Italy https://math.unipa.it/vismac2020 ____________________________________________ === Aim & Scope === The international summer school VISMAC "VISione delle MACchine" (in English, "Machine Vision") is organized every two years by the "Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning" (CVPL - ex-GIRPR) affiliated to International Association for Pattern Recognition (IAPR). It represents a stimulating opportunity for doctoral students, young researchers from universities, research institutions and industry. The primary objective of the Summer School is to provide a common scientific and cultural background on the subjects of computer vision and pattern recognition. This edition of VISMAC will mainly focus on four renowned research topics: Bio-imaging, Automotive, Cultural Heritage, Image forensics. The school will be from the 21st to the 24th of September 2021 as a full online event through Microsoft Teams. At the conclusion of class, students will be required to perform successfully an online exam to obtain a final certification. === List of Speakers === Bio-imaging - Carlo Sansone, UNINA Federico II - Elena Casiraghi, UNIMI - Paolo Soda, UCBM - Francesco Tortorella, UNISA - Joseph Stancanello, Elekta Automotive - Sergio Saponara, UNIPI - Roberto Vezzani, UNIMORE - Alessandro Rizzi, UNIMI - Alberto Broggi, VISLAB/AMBARELLA Cultural Heritage - Gabriele Guidi, POLIMI - Carlo Colombo, UNIFI - Andrea Fusiello, UNIUD - Francesca Odone, UNIGE - Fabio Remondino, FBK Trento - Alessandro Dal Colle, Klain Robotics Image forensics - Francesco De Natale, UNITN - Gian Luca Marcialis, UNICA - Luisa Verdoliva, UNINA Federico II - Jerian Martino, Amped Software === Program === Final program with daytime schedule is available here: https://math.unipa.it/vismac2020/markdown/ Book of abstracts can be downloaded here: https://math.unipa.it/vismac2020/resources/VISMAC2020-2021-BoA-Onine.pdf === Registration === School registrations are limited to forty participants, on a FIFS basis, the registration fee is 100 Euro. **Registration deadline is 25 July 2021** Accepted students can submit a poster to present their research activity. The best poster selected by the school committee will receive a prize sponsored by CVPL. Registration form and info are available here: https://math.unipa.it/vismac2020/markdown-2/ === Scientific Committee === - Domenico Tegolo, UNIPA - Cesare Valenti, UNIPA - Roberto Pirrone, UNIPA - Filippo Stanco, UNICT === Local Committee === - Marco E. Tabacchi, UNIPA - Fabio Bellavia, UNIPA === Sponsors === - CVPL (ex-GIRPR) - Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning - Universita' degli Studi di Palermo - Universita' degli Studi di Catania - CITC - Centro Interdipartimentale di Tecnologie della Conoscenza, Universita' degli Studi di Palermo - DMI - Dipartimento di Matematica e Informatica, Universita' degli Studi di Palermo ____________________________________________ Contacts https://math.unipa.it/vismac2020 vismac2020 at gmail.com From s.mcloone at qub.ac.uk Wed Jul 14 10:34:35 2021 From: s.mcloone at qub.ac.uk (Sean McLoone) Date: Wed, 14 Jul 2021 15:34:35 +0100 Subject: Connectionists: Special issue on Advances in Machine Learning and AI for Intelligent Control and Optimization - Call for Papers Message-ID: <28c1a58e-368e-a18d-8903-6d68bf3d6c9b@qub.ac.uk> *CALL FOR PAPERS* Special issue of the IFAC/Elsevier Journal *Engineering Applications of Artificial Intelligence * Prospective authors are invited to submit their original unpublished manuscripts for consideration for a special issue of the IFAC journal Engineering Applications of Artificial Intelligence, organised by the IFAC Technical Committee on Computational Intelligence and Control. *The **theme of the special issue is Advances in Machine Learning and AI for Intelligent Control and Optimisation*. The constantly increasing availability of data, the rapid expansion in computational and storage capacities of IT systems, and algorithmic advances in Machine Learning, AI and Intelligent Control, are beginning to have a huge impact in many areas of science and engineering.? These technologies have the potential to transform many sectors of our society, from healthcare to manufacturing. However, many challenges remain that are limiting their wide scale adoption, from dealing with data quality and volume issues to achieving scalable and robust solutions. This special issue invites contributions that address these challenges and/or showcase the latest real-world applications and enabling algorithmic advancements of Machine Learning and Intelligent Control.? Comprehensive tutorial and survey papers are also welcome. We invite novel contributions that are based on (but not limited to) the following topics as they pertain to system identification, intelligent control, and optimisation of dynamical systems. -?? ?Parsimonious and robust machine learning approaches -?? ?Deep learning, transfer learning and adaption -?? ?Machine learning approaches for sequence learning tasks -?? ?Soft computing (Fuzzy logic, Neural Networks, Evolutionary Algorithms, ?) -?? ?Reinforcement learning -?? ?Computer vision Application areas include autonomous vehicles, robotic systems, human-machine collaboration, industry 4.0, smart grids, agriculture, environmental systems, biomedical systems and assisted living technologies. *Prospective authors are asked to notify the guest editors of their intention to submit a paper **to the special issu**e* by sending the title and a 200-word abstract to Se?n McLoone (s.mcloone at qub.ac.uk), to confirm the suitability of their contribution for the special issue and to receive submission instructions. *Deadline for full paper submission: *31 October 2021 *Guest editors* Se?n McLoone, Queen?s University Belfast, Northern Ireland, s.mcloone at qub.ac.uk Kevin Guelton, University of Reims Champagne Ardenne, France, kevin.guelton at univ-reims.fr Thierry Guerra, University of Valenciennes and Hainaut-Cambresis, France, guerra at uphf.fr Gian Antonio Susto, University of Padova, Italy, gianantonio.susto at unipd.it Ju? Kocijan, Jo?ef Stefan Institute and University of Nova Gorica, Slovenia, jus.kocijan at ijs.si Diego Romeres, Mitsubishi Electric Research Laboratories, USA, romeres at merl.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: EAAI_TC3.2_Special_Issue_Call_for_Papers_October2021.pdf Type: application/pdf Size: 224874 bytes Desc: not available URL: From mschilli at techfak.uni-bielefeld.de Wed Jul 14 11:39:17 2021 From: mschilli at techfak.uni-bielefeld.de (Malte Schilling) Date: Wed, 14 Jul 2021 17:39:17 +0200 Subject: Connectionists: Workshop Call for Contribution on Trustworthy AI in the Wild Message-ID: <53336C65-FD4C-41F7-ACB4-80668AC795AD@techfak.uni-bielefeld.de> We want to advertise our workshop on Trustworthy AI and invite contributions (including and encouraging early work). Regards Barbara Hammer, Malte Schilling, Laurenz Wiskott ========================================================== 2021 KI in Berlin, to be held virtually Workshop on Trustworthy AI in the wild Half-day workshop on 27th of September 2021 AI solutions start to have an enormous impact on our lives: they are key enabler of future digital industry, potential game-changer for experimentation and discovery in science, and prevalent technology in everyday services such as internet search or human-machine communication. Moreover, AI is involved in the solutions of humans? grand challenges, examples being AI-based environment-friendly mobility concepts, augmentation of human capabilities by intelligent assistive systems in an ageing society, or support in developing medical therapies or vaccines. Yet, the very nature of AI technologies includes a number of novel threats which need to be addressed for trustworthy AI: many machine learning models act as black boxes which can lead to unexpected behavior, for example, when human and machine perception differ considerably. As models are trained on real-life data, there is the risk that such AI models allow for unauthorized access to sensitive information that might be contained in the data. Furthermore, data biases ?caused by spurious correlations in the data? can be captured by ML models and their predictions, leading to systematically disadvantages for specific individuals or (e.g. ethnic) groups. The ubiquity of AI in virtually every aspect of life, therefore, has an enormous impact on the way in which we as a society communicate, work, decide, and interact. Hence novel concepts on how to guarantee security, safety, privacy, and fairness of AI and how to create AI systems which support humans rather than incapacitating them are of uttermost importance and are constituting the research area on Trustworthy AI. Trustworthy AI aims for technologies that not only provide solutions to an earlier defined task, but that as well allow for insight on the functioning of the underlying system. Why did the system acted in a certain way and did not choose a different solution? Which features were important for the decision and how sure is the system of its choice, i.e. can I trust this decision? The workshop aims, first, at understanding Machine Learning based approaches towards explainable AI solutions. Secondly, a focus of the workshop is on how we can make AI solutions more trustworthy. The goal of the workshop is to discuss existing concepts of trustworthy AI and provide a platform for the formulation of new ideas and proposals to overcome existing limitations. The workshop aims at interested researchers with a background in machine-learning (supervised and unsupervised learning, reinforcement learning), traditional AI techniques (reasoning, planning), robotics (humanoids, probabilistic robotics), HMI/HRI, and multi-agent systems (coordination and cooperation). TOPICS OF INTEREST -------------------------------- - Testable criteria for trustworthy AI technologies - How to guarantee the privacy and security of AI technologies? - Legal, ethical, and societal implications of AI solutions - How can systems be autonomous and safe? In interaction with humans, systems should be guaranteed to act safely and not endanger humans or other agents. - human agency, autonomy, and oversight - technical robustness and safety: reliability, resilience to attacks, reproducibility - privacy and data governance - transparency and explainability - diversity, non-discrimination and fairness - accountability OVERVIEW PROGRAM -------------------------------- Overall, the workshop aims at a multidisciplinary perspective on key aspects and challenges of Trustworthy AI and in particular when in interaction with humans. Therefore, the presentations will reflect the diversity of approaches and topics as well as there will be ample time for discussion. The half-day workshop will consist of invited talks from AI and Machine Learning and we are open for contributed talks. Overall, we plan with five talks. Two sessions of three talks (each half an hour). The first session will be concluded by short presentations for the posters (poster flashlight). Confirmed Speakers: - Prof. Marc Toussaint, Head of the Learning & Intelligent Systems Lab at the EECS Faculty of TU Berlin - Prof. Isabel Valera, Department of Computer Science of Saarland University, Saarbr?cken SUBMISSION ------------------- Participants are invited to submit a contribution (via email: mschilli at techfak.uni-bielefeld.de) as an extended abstract (maximum 2 pages in length). Contributions will be reviewed and selected by the organizers. Contributions can be made in three categories: - for contributed talks (of around 15 minutes plus discussion); - for poster presentation (using a spatial chat platform for our virtual poster session); - for presentation of proposed or planned projects or starting initiatives in the area of trustworthy AI (this will be part of the poster session, in which an initiative can get one or multiple posters presenting their plans and goals in order to invite discussion). The workshop contributions will appear as online proceedings on the workshop webpage. We want to give researchers a chance to present their (ongoing or planned) work. But we also want to provide a forum for relevant work that has recently been published in journals and other conferences. IMPORTANT DATES ---------------------------- September 1st, 2021, submission deadline. September 27, 2021, Day of the workshop FURTHER INFORMATION ------------------------------------ For further information, please contact Malte Schilling (mschilli at techfak.uni-bielefeld.de) and see the website containing more information: https://dataninja.nrw/?page_id=343 Organizers: Barbara Hammer (CITEC, Bielefeld University, Germany), Malte Schilling (Machine Learning Group, Bielefeld University), Laurenz Wiskott (Institute for Neural Computation, Ruhr-University Bochum). From ruben.coen-cagli at einsteinmed.org Wed Jul 14 13:04:36 2021 From: ruben.coen-cagli at einsteinmed.org (Ruben Coen-Cagli) Date: Wed, 14 Jul 2021 17:04:36 +0000 Subject: Connectionists: Postdoc in computational neuroscience in New York - Coen-Cagli Laboratory Message-ID: The Laboratory for Computational Neuroscience (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City. Our lab studies how biological sensory systems interpret the surrounding environment. We study how populations of visual-cortical neurons represent and transmit visual information, and how those processes control perception. We combine theories of probabilistic neural coding, machine learning and natural image statistics, psychophysics, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics, and will have the opportunity to interact closely with experimental collaborators and access to datasets including electrophysiology, imaging, and perturbations of large neural populations. Most recent publications: (2021) D. Festa et al. Nature Communications 12:3635 (preprint bioRxiv) (2021) D. Herrera et al. Journal of Vision 21(1):1 (2021) G. Dehaene et al. PLoS Computational Biology 17(1):e1008138. (2021) D. Herrera et al. Vision Research 187:55-65 (preprint bioRxiv) (2020) J. Vacher et al. NeurIPS 2020 spotlight. (2019) R. Coen-Cagli, S. S. Solomon. Journal of Neuroscience 39(37):7344 (preprint biorxiv). Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to biological and neural systems. Prior experience should include areas such as computational neuroscience, machine learning, statistics, or computer vision. We are particularly interested in applicants with a genuine interest in linking theoretical and computational work to quantitative analysis of neurophysiology data. Einstein offers a vibrant interdisciplinary environment, with a strong systems and computational contingent. It is located in a quiet neighborhood of the Bronx, New York. The Bronx is one of the most diverse counties in the United States, the birthplace of hip-hop, and home to a rich cultural and sports scene. Einstein is also a short subway ride from Manhattan. Information about working at the Einstein, including benefits and housing for postdocs, can be found at: https://einsteinmed.org/research/belfer-institute/ The position is available immediately, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli at gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. The lab strives to be an open, inclusive, harassment-free environment. Ruben is an ally of Black In AI and a member of Einstein's Senate Diversity, Equity and Inclusion committee. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Thu Jul 15 10:31:44 2021 From: mm at di.ku.dk (Maria Maistro) Date: Thu, 15 Jul 2021 14:31:44 +0000 Subject: Connectionists: PhD Position in ML and IR, University of Copenhagen Message-ID: **** 5 PhD fellowships in Machine Learning and Information Retrieval **** **** Department of Computer Science, University of Copenhagen **** The Machine Learning Section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering five fully-funded PhD Fellowships in Machine Learning and Information Retrieval, commencing 1 January 2022 or as soon as possible thereafter. - Deadline to apply: August 15, 2021 - Link to apply: https://employment.ku.dk/phd/?show=154480 * Our group and research, and what do we offer: -------------------------- The fellows will join the Machine Learning Section at DIKU. The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry. The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation. * The fellows will conduct research, having as starting point the following broad research areas: -------------------------- - a fully-funded PhD in machine learning evaluation; - a fully-funded PhD in bias and interpretability for machine learning; - a fully-funded PhD in overparameterization and generalizability in deep neural architectures; - a fully-funded PhD in applied machine learning and/or information retrieval with focus on human-centered computing aspects; - a fully-funded PhD in web & information retrieval. * Who are we looking for? -------------------------- We are looking for candidates with a MSc degree in a subject relevant for the research area. The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval. For one of the PhDs, the candidate is expected to also have strong grades in Human-Centered Computing. The candidate should have a preliminary research record as witnessed by a master thesis or publications in the area. For more information, please have a look at: https://employment.ku.dk/phd/?show=154480 ??? Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Wed Jul 14 21:38:44 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Thu, 15 Jul 2021 09:38:44 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Demonstrations and Exhibits Message-ID: <7eba9f46.1000.17aa7d0eab1.Coremail.jiangdm@nwpu.edu.cn> Call for Demonstrations and Exhibits *************************************** ACM ICMI 2021: Call for Demonstrations and Exhibits https://icmi.acm.org/2021/index.php?id=cfd 18-22 Oct 2021, Montreal, Canada *************************************** We invite you to submit your proposals for demonstrations and exhibits to be held during the 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021), located in Montreal, Canada, October 18-22nd, 2021. This year's conference theme is on multimodal interaction for behavioural health and virtual connectivity. Demonstrations and Exhibits: The ACM ICMI 2021 Demonstrations & Exhibits session is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive multimodal interfaces. It can also serve to introduce commercial products. Proposals may be of two types: Demonstrations or Exhibits. The main difference is that demonstrations include a 1-2 page paper, which will be included in the ACM ICMI main proceedings, while the exhibits only need to include a brief outline (no more than one page; not included in ICMI proceedings). We encourage both the submission of early research prototypes and interesting mature systems. In addition, authors of accepted regular research papers may be invited to participate in the demonstration sessions as well. Demonstration Submission: Please submit a 1-2 page description of the demonstration through the main ICMI conference management system (https://new.precisionconference.com/sigchi). Demonstration description(s) must be in PDF format, according to the ACM conference format, of no more than 2 pages in length including references (see submission format). Demonstration proposals should include a description with photographs and/or screen captures of the demonstration. A video of the proposed demo should accompany the submission (no larger than 200MB), which can be in PowerPoint format (no more than 10 slides). The demo and exhibit paper submissions are not anonymous. However, all ACM rules and guidelines related to paper submission should be followed (e.g. plagiarism, including self-plagiarism).. The demonstration submissions will be peer reviewed, according to the following criteria: suitability as a demo, scientific or engineering feasibility of the proposed demo system, application, or interactivity, alignment with the conference focus, potential to engage the audience, and overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals, along with preparing the short papers mindful of the quality and rigorous scientific expectations of an ACM publication. The demo program will include the accepted proposals and may additionally include invited demos from among full-length papers accepted for presentation at the conference. Please note that the accepted descriptions will be included in the ICMI main proceedings. Exhibit Submission: Exhibit proposals should be submitted following the same guidelines, formatting, and due dates as for demonstration proposals. Exhibit proposals must be shorter in length (up to one page) and more suitable for mature systems. Exhibits will not have a paper published in the ICMI 2021 proceedings. Facilities: Once accepted, demonstrators and video presenters will be provided with a table, poster board, power outlet and wireless (shared) Internet. Demo and video presenters are expected to bring with themselves everything else needed for their demo and video presentations, such as hardware, laptops, sensors, PCs, etc. However, if you have special requests such as a larger space, special lighting conditions and so on, we will do our best to arrange them. Important note for the authors: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. Attendance: At least one author of all accepted Demonstrations and Exhibits submissions must register for and attend the conference, including the conference demonstrations and exhibits session(s). Important Dates: Submission of demo and exhibit proposals July 19, 2021 Demo and exhibit notification of acceptance August 2, 2021 Submission of demo final papers August 17, 2021 Questions? For further questions, contact the Demonstrations and Exhibits co-chairs: Yelin Kim and Fabien Ringeval (icmi2021-demo-chairs at acm.org). ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Thu Jul 15 10:32:22 2021 From: mm at di.ku.dk (Maria Maistro) Date: Thu, 15 Jul 2021 14:32:22 +0000 Subject: Connectionists: TREC Health Misinformation Track 2021 Message-ID: Call for participation: TREC Health Misinformation Track 2021 https://trec-health-misinfo.github.io AIMS AND SCOPE -------------------------- Misinformation represents a key problem when using search engines to guide any decision-making task: Are users able to discern authoritative from unreliable information and correct from incorrect information? This problem is further exacerbated when the search occurs within uncontrolled data collections, such as the web, where information can be unreliable, misleading, highly technical, and can lead to unfounded escalations. Information from search-engine results can significantly influence decisions, and research shows that increasing the amount of incorrect information about a topic presented in a Search Engine Result Page (SERP) can impel users to make incorrect decisions. In this context, the TREC 2021 Misinformation track fosters research on retrieval methods that promote reliable and correct information over misinformation. The track offers the following task: * Ad-hoc Retrieval Task: The goal is to design a ranking model that promotes credible and correct information over incorrect information; GUIDELINES -------------------------- * Corpus: noclean version of the C4 dataset (https://huggingface.co/datasets/allenai/c4); * Topics: about consumer health search (people seeking health advice online); * Runs: runs may be either automatic or manual with the standard TREC run format. Detailed guidelines on: https://trec-health-misinfo.github.io IMPORTANT DATES -------------------------- * Runs due from participants: September 2, 2021 * Evaluation results returned: End of September 2021 * Notebook paper due: October 2021 * TREC 2021 Conference: November 17-19, 2020 * Final paper due: February 2021 ORGANIZERS -------------------------- * Charles Clarke, University of Waterloo * Maria Maistro, University of Copenhagen * Mark Smucker, University of Waterloo CONTACT -------------------------- For more information or to ask questions, join the google group: https://groups.google.com/forum/#!forum/trec-health-misinformation-track ??? Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Fri Jul 16 04:25:15 2021 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Fri, 16 Jul 2021 08:25:15 +0000 Subject: Connectionists: PhD studentships in AI for Sound (CVSSP, University of Surrey, UK) Message-ID: Dear Connectionists, Please forward the PhD opportunities below to potential candidates. I would particularly like to encourage applications from women, disabled and Black, Asian & Minority Ethnic candidates, since these groups are currently underrepresented in our area. Many thanks, Mark Plumbley ---- The AI for Sound project (https://ai4s.surrey.ac.uk/) in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is offering the following PhD studentships in AI for Sound, available from 1 October 2021: (1) Automatic sound labelling for broadcast audio (2) Information theoretic learning for sound analysis (UK applicants) Application Deadline: 1 August 2021 CVSSP also has a number of ongoing PhD studentship opportunities for outstanding PhD candidates in all aspects of audio-visual signal processing, computer vision and machine learning, including for research related to machine learning and audio signal processing. We also welcome enquiries from self-funded and part-funded candidates. For informal enquiries on opportunities related to AI for Sound, please contact Prof Mark Plumbley (m.plumbley at surrey.ac.uk). Further information how to apply below. ----- ** PhD studentship opportunities in AI for Sound project ** (1) Automatic sound labelling for broadcast audio The aim of this project is to develop new methods for automatic labelling of sound environments and events in broadcast audio, assisting production staff to find and search through content, and helping the general public access archive content. The project will undertake a combination of interviews and user profiling, analysis of audio search datasets, and categorisation by audio experts to determine the most useful terminology for production staff and the general public as user groups. The project will develop a taxonomy of labels, and examine the similarities and differences between each group. The project will also investigate the application of a labelled library in a production environment, examining workflows with common broadcast tools, then integrating and evaluating prototype systems. The project will also investigate methods for automatic subtitling of non-speech sounds, such as end-to-end encoder-decoder models with alignment, to directly map the acoustic signal to text sequences. Working with BBC R&D, the student will develop software tools to demonstrate the results, especially for broadcasting and the management of audiovisual archive data, and benchmark the results against human-assigned tags and descriptions of audio content. Using archive data provided by BBC R&D, the student will engage with audio production and research experts through Expert Panels, and potential end users through Focus Groups. As part of this PhD, you will have the opportunity for close day-to-day collaboration with the BBC as a member of the R&D Audio Team. Application Deadline: 1 August 2021 More information and how to apply: https://www.surrey.ac.uk/fees-and-funding/studentships/automatic-sound-labelling-broadcast-audio (2) Information theoretic learning for sound analysis (Funding Eligibility: UK applicants only) The aim of this PhD project is to investigate information theoretic methods for analysis of sounds. The Information Bottleneck (IB) method has emerged as an interesting approach to investigate learning in deep learning networks and autoencoders. This project will investigate information-theoretic approaches to analyse sound sequences, both for supervised learning methods such convolutive and recurrent networks, and unsupervised methods such as variational autoencoders. The project will also investigate direct information loss estimators, and new information-theoretic processing structures for sound processing, for example involving both feed-forward and feedback connections inspired by transfer information in biological neural networks. Application Deadline: 1 August 2021 More information and how to apply: https://www.surrey.ac.uk/fees-and-funding/studentships/information-theoretic-learning-sound-analysis ** Other PhD studentships in the Centre for Vision, Speech and Signal Processing (CVSSP) ** CVSSP also has a number of PhD studentship opportunities for outstanding PhD candidates, including for research related to machine learning and audio signal processing. For more information see https://www.surrey.ac.uk/centre-vision-speech-signal-processing/postgraduate-research-study and scroll to "PhD studentship opportunities at CVSSP" For informal enquiries on opportunities related to AI for Sound, please contact Prof Mark Plumbley (m.plumbley at surrey.ac.uk). -- Prof Mark D Plumbley Head of School of Computer Science and Electronic Engineering Email: Head-of-School-CSEE at surrey.ac.uk Professor of Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk PA: Kelly Green Email: k.d.green at surrey.ac.uk From georgios.yannakakis at um.edu.mt Fri Jul 16 06:59:37 2021 From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis) Date: Fri, 16 Jul 2021 12:59:37 +0200 Subject: Connectionists: Postdoc and PhD Posts - AI Group at the Institute of Digital Games (Deadline: July-30) In-Reply-To: References: Message-ID: ***apologies for cross-postings*** New Postdoc and PhD posts at the Institute of Digital Games The AI group (https://www.um.edu.mt/digitalgames/airesearchgroup) at the Institute of Digital Games (http://www.game.edu.mt/) is hiring motivated and talented researchers---at the PhD and Postdoc levels---interested in research at the crossroads of AI and ML/DL, user modelling and affective computing, generative systems in games, and game-based learning. Check out our new call below and join us at one of the top-ranked technical game research centres globally! Your deadline is July-30! https://www.um.edu.mt/__data/assets/pdf_file/0009/470988/RSOs-DigitalGames-06.07.21.pdf -- Georgios N. Yannakakis | Professor Director Institute of Digital Games 20 Triq L-Esperanto +356 2340 3510 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanos at cs.ntua.gr Fri Jul 16 16:10:40 2021 From: stefanos at cs.ntua.gr (stefanos) Date: Fri, 16 Jul 2021 23:10:40 +0300 Subject: Connectionists: (CfP) ICCV 2021 Workshop and Competition: MIA-COV19D In-Reply-To: <27a799c5cb848a5368875702be5a939b@cs.ntua.gr> References: <27a799c5cb848a5368875702be5a939b@cs.ntua.gr> Message-ID: <06033090c1558302115538c580aab338@cs.ntua.gr> ICCV 2021 Workshop and Competition: MIA-COV19D * ONE WEEK REMAINING FOR PAPER SUBMISSION * The Workshop "AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (MIA-COV19D)" will be held in conjunction with the International Conference on Computer Vision (ICCV) 2021 in Montreal, Canada, October 11- 17, 2021. Please visit the workshop & competition page at https://mlearn.lincoln.ac.uk/mia-cov19d/ For any requests or enquiries, please contact: stefanos at cs.ntua.gr Organizers: * Stefanos Kollias, National Technical University of Athens * Xujiong Ye, University of Lincoln * Luc Bidaut. University of Lincoln * Francesco Rundo, STMicroelectronics ADG--Central R&D * Dimitrios Kollias, University of Greenwich * Giuseppe Banna, Portsmouth Hospitals Univ. NHS Trust Call for Papers: AI-enabled Medical Image Analysis (MIA) Workshop will emphasize on radiological quantitative image analysis for diagnosis of diseases. Our focus is placed on Artificial Intelligence (AI), Machine and Deep Learning (ML, DL) approaches that target effective and adaptive diagnosis, as well as on approaches that enforce trustworthiness and create justifications of the decision making process. It will also include the COV19D Competition results and presentations. Important Dates: July 23, 2021: Paper submission deadline; Start of review period August 6, 2021: End of review period August 10, 2021: Review decisions sent to authors; Notification of acceptance August 17, 2021: Camera ready version deadline The peer review process for the papers will be double blind, with at least two distinct reviews per submission, and will follow ICCV standards and policies. The accepted papers will be published in the ICCV proceedings. All submissions must adhere to ICCV style, format and length restrictions. From yuva2257 at gmail.com Sun Jul 18 23:24:59 2021 From: yuva2257 at gmail.com (Yuvaraj Rajamanickam) Date: Mon, 19 Jul 2021 11:24:59 +0800 Subject: Connectionists: Call for Chapter for Springer Book by M. Murugappan and R. Yuvaraj (Editors) Message-ID: Dear Researchers, Good day to you. Currently, we are accepting the high-quality book chapters for our upcoming edited book in *Springer,* titled, *Biomedical signal-based computer-aided diagnosis for neurological disorders*. Please see below for more information. We invite you and your network connections to consider submitting a high-quality paper related to the aim and scope of this book for possible publication. If possible, you could share this CFP in your network for their possible contribution. Please feel free to contact us, if you have any questions. Submission link: https://easychair.org/conferences/?conf=bscadnd2021 Any queries, please feel free to write to us at bookchapter.bscad at gmail.com and CC to m.murugappan at kcst.edu.kw ; yuvaraj.rajamanickam at nie.edu.sg. Major topics to be included in the book are: ?Introduction to neurological disorders (ND) and biomedical signal processing. ?Basic principles of CAD in ND diagnosis. ?Characterization of biomedical signals in ND. ?Feature engineering and optimization. ?Machine learning techniques in CAD for ND ?Deep learning algorithms in CAD for ND ?Neural network applications in CAD for ND ?Fuzzy logic and optimization techniques ?Supervised and unsupervised learning ?Case studies related to ND diagnosis. ?Challenges in the CAD for ND ?Advances and trends in CAD for ND diagnosis. ?Open Challenges in CAD in ND diagnosis Important dates ?Abstract Submission (max 250 words): 30th July 2021 ?Acceptance of abstract: 5th August 2021 ?Full chapter submission:15th September 2021 ?Authors notification: 15th October 2021 ?Camera ready submission: 10th November 2021 ?Permission and copyright:20th November 2021 ?Publication date: 1st quarter of 2022 Submission guidelines ?MS Word, single column, Times New Roman, 11 font size, 1.15 spacing. ?References must follow springer style. ?Length of the chapter: 20-25 pages (11550 words (approx.)) including references, tables, figures. ?Similarity index should be less than 10 % (without reference). ?All figures must be supplied as final artwork (e.g., JPEG, PNG, TIFF, etc.) at high-resolution. NO PUBLICATION/ ARTICLE PROCESSING FEE. ?All manuscripts are accepted based on a double-blind peer review editorial process. Indexed by Web of Science (WoS), SCOPUS, Google Scholar, SCImago Regards YUVARAJ -------------- next part -------------- An HTML attachment was scrubbed... URL: From maneetsingh18 at gmail.com Mon Jul 19 01:05:45 2021 From: maneetsingh18 at gmail.com (Maneet Singh) Date: Mon, 19 Jul 2021 10:35:45 +0530 Subject: Connectionists: Final CFP: CIKM2021 International Workshop on Modelling Uncertainty in the Financial World (MUFin21) Message-ID: Dear Researcher, We invite you to submit at the MUFin21 workshop! The workshop provides a platform for experts across industry and academia to discuss and present challenges, novel solutions, and pave the way for future directions in modelling sequential data uncertainty for the financial world. We invite papers focused on modelling uncertainty for financial applications. Topics of interest include, but are not limited to the following: *Application Topics:* - Evaluating financial risk - Forecasting stock market - Modelling seasonality in market trends - Fraud prediction - Modelling temporal social media activity - Recommendation systems - Adversarial Attacks on financial models *Technical Topics:* - Temporal/Sequential data modelling ? clustering, classification - Modelling uncertainty in financial data - Temporal graphs - Time Series Forecasting - Text analytics of financial reports, forecasts, and documents - Explainable/interpretable sequential modelling - Exploring fairness and robustness towards bias in financial models - Representation learning from temporal/sequential data - Modelling financial data as temporal point processes *Submission Deadline: 22nd July 2021 (Extended)* Website: https://sites.google.com/view/mufin21/home The best paper of the workshop will be awarded a *Best Paper Award* worth $500! Please refer to the website for more details. Incase of any queries, please reach out to Maneet Singh at maneet.singh at mastercard.com. Best, Maneet -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at ai.vub.ac.be Sat Jul 17 11:46:11 2021 From: bart at ai.vub.ac.be (Bart de Boer) Date: Sat, 17 Jul 2021 17:46:11 +0200 Subject: Connectionists: PhD position on cognitively plausible models of vocal and rhythm learning Message-ID: <20af10ed-9588-0a59-a7d0-b08bd0052521@ai.vub.ac.be> At the AI-lab of the Vrije Universiteit Brussel (VUB) we have a fully-funded four-year PhD position available as part of a project which investigates the origins of vocal and rhythm learning. This project is a cooperation between prof. Bart de Boerat the VUB, prof Sonja Kotz at Maastricht University and dr. Andrea Ravignani at the Max Planck Institute in Nijmegen. The PhD research will focus on developing a cognitively plausible model of the interplay of rhythm and vocal learning capacities in humans and other animals. This model would test, using a cognitively plausible approach ?? for instance based on a neurologically and cognitively constrained deep neural network ??the hypothesis that the ability to entrain to a beat and the ability to do open-ended vocal imitation are evolutionarily linked. The deadline for application is August 31st, 2021. Details of the position and the application procedure can be found at: https://ai.vub.ac.be/~bart/rhythmphd.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Mon Jul 19 05:18:50 2021 From: a.dorrn at fz-juelich.de (Anja Dorrn) Date: Mon, 19 Jul 2021 11:18:50 +0200 Subject: Connectionists: Bernstein Conference 2021 - registration is now open Message-ID: <0991baf8-15a6-dbfe-96ad-ab4a12aba01f@fz-juelich.de> 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. Due to the ongoing pandemic the Bernstein Conference will be held online. www.bernstein-conference.de ____ IMPORTANT DATES & NEWS * Bernstein Conference: September 21-23, 2021 * Registration is now open * Abstract submission deadline: August 3, 2021, 1 pm CEST * Selected Satellite Workshops are now online ____ REGISTRATION The participation at the online Bernstein Conference 2021 will be free of charge for all participants. Thus the Bernstein Network contributes to keep the scientific exchange alive in the ongoing challenges during the pandemic. Please register here: https://hopin.com/events/bernstein-conference-2021 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts for poster presentations. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission is open until August 3, 1 pm CEST. Further information can be found here: https://bit.ly/BC21_abstracts ____ INVITED SPEAKERS Keynote Timothy Behrens (University of Oxford, UK) Invited Talks Athena Akrami (University College London, UK) Nadine Gogolla (Max Planck Institute for Neurobiology, Martinsried, Germany) Guillaume Hennequin (University of Cambridge, UK) Jennifer Li & Drew Robson (Max Planck Institute for Biological Cybernetics, T?bingen, Germany) Scott Lindermann (Stanford University, USA) Ashok Litwin-Kumar (Columbia University, New York City, USA) Ida Momennejad (Microsoft Research, New York City, USA) Cristina Savin (New York University, USA) Marion Silies (Johannes Gutenberg University, Mainz, Germany) Daniela Vallentin (Max Planck Institute for Ornithology, Seewiesen, Germany) ____ CONFERENCE COMMITTEE Christian Leibold (Conference Chair) Julijana Gjiorgjieva (Program Chair) Christian Machens (Program Vice Chair) Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) & Matthew Botvinick, Megan Carey, Peter Dayan, Brent Doiron, Rainer Friedrich, Ann Hermundstad, Srdjan Ostojic, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sbminna at gmail.com Mon Jul 19 06:04:42 2021 From: sbminna at gmail.com (Inna S) Date: Mon, 19 Jul 2021 13:04:42 +0300 Subject: Connectionists: Computational neuroscientist position at the Gonda Brain Research Center, Bar-Ilan University In-Reply-To: References: Message-ID: *Faculty Position at the Gonda Brain Research Center, Bar-Ilan University* The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University looking for excellent early-stage scientist for tenure track position (rank commensurate with qualifications and experience) starting in the academic year 2022-2023. The position is open for a candidate with a focus in *computational neuroscience*, including theoretical neuroscience and modelling. All applicants will be evaluated for merit. The appointments are subject to budgetary approval. The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University brings together researchers from a variety of fields essential for understanding the brain, including life sciences, neurophysiology, psychology, linguistics, computer science, mathematics and physics. Research at the Center addresses the brain at all levels - from behavior and cognitive processing through neural circuits, all the way to molecular mechanisms, in health and in disease. Candidates are expected to have a doctorate and post-doctoral training in relevant fields, and to show an excellent track-record for their stage of career. Interested candidates should submit a letter of application, CV and a research statement. For more information, inquiries and applications, please contact Dr. Inna Sukhotinsky (Inna.Sukhotinsky at biu.ac.il). BIU is an equal opportunity employer and all qualified applicants will receive consideration for employment. *Submission deadline:* September 30, 2021 [image: image.jpeg] *Website *www.gondabrain.biu.ac.il *| Facebook *gonda.brain -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.jpeg Type: image/jpeg Size: 92984 bytes Desc: not available URL: From cgf at isep.ipp.pt Mon Jul 19 06:31:22 2021 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 19 Jul 2021 11:31:22 +0100 Subject: Connectionists: DSAA: Next Generation Data Scientist Award Message-ID: NGDS Award Deadline: 31 August 2021 The IEEE International Conference on Data Science and Advanced Analytics (DSAA) will offer a limited number (or none) of NGDS Awards every year to early?career researchers (ECR) who have got PhD degrees within five years in data science. The NGDS Award has been the first and only global initiative to support the production and certification of qualified next?generation data scientists. The NGDS awards will be sponsored by some of the DSAA sponsors. Each NGDS awardee will receive USD 1,000. One of the critical challenges facing the era of data science lies in the significant gap between the increasing data scientist job demand and the limited availability of qualified data scientists. The purpose of offering this NGDS award is to encourage young talents to conduct significant foundational research and applied innovation in Data Science toward a profound and world-standard level. All ECRs with the papers accepted at previous and current DSAA conferences are invited to apply, although the awards open to all applicants in data science. Selection Criteria of NGDS The DSAA steering committee sets up the NGDS Award to be highly prestigious and selective. Hence, the criteria for NGDS candidate selection are rigorous. This may involve the following aspects: * PhD qualification in data science including statistics, machine learning, artificial intelligence, and other related fields; * A strong track record in terms of theoretical contributions, business impact and/or educational contributions, which are quantifiable and outstanding; * A reachable five-year career plan for significantly contributing to the data science community in terms of research, innovation, applications and/or education; * Strong referee reports from two recognized data scientists; * Strong recommendation from the candidate?s department or supervisor. How to Submit An NGDS Award Application? The deadline for applications is 31 August 2021. Applicants are encouraged to attend IEEE DSAA?2021 which will be held on 6-9 Oct 2021 in Porto, Portugal. An NGDS award candidate should submit an application to the NGDS award chairs, which includes: * NGDS Award Application Form (download the NGDS application form from here) to address: dsaa2021 at dsaa.co * Applicant information; * Response to the above selection criteria; * Title, authors and track record of DSAA publications and attendance; * Resume with affiliation, education background, publications, projects, cases of impact, awards etc.; * Certificate showing staff ID and working status; * Two referee reports with referee?s contact details and signatures; * A recommendation letter from head of department or supervisor on the organization letterhead. All application materials should be zipped into a file titled ?2021_NGDS_Applicant Last Name_ First Name.zip? and submitted to dsaa2021 at dsaa.co. Successful candidates must register and attend DSAA?2021, otherwise, the award may be given to other candidates in the shortlist list per the selection committee?s decision. An announcement of the final winner will be made in the DSAA?2021 conference banquet. All documents should be in PDF and attached to the email. Late submissions, or documents in other formats will not be accepted. Contacts * Any inquiries and questions should be addressed to dsaa2021 at dsaa.co. * More information and registration to DSAA?2021 is available here. * The list of existing NGDS Awardees is available at DSAA Awards webpage. Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Mon Jul 19 09:13:53 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Mon, 19 Jul 2021 14:13:53 +0100 Subject: Connectionists: [CFP] DEADLINE EXTENSION for 1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence @ KR-2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Ontology Uses and Contribution to Artificial Intelligence" which will be held online or in Hanoi, Vietnam - November 6-12, 2021. * **** OnUCAI - CALL FOR PAPERS **** * * Ontology Uses and Contribution to Artificial Intelligence* * 1st International Workshop, in conjunction with *KR 2021 * November 6-12, 2021 - Online or in Hanoi, Vietnam* https://sites.google.com/view/onucai-kr2021 ** Important dates ** - *Workshop paper submission due: **July 19, 2021 **September 06, 2021* - *Workshop paper notifications: *September 30, 2021 - *Workshop paper camera-ready versions due: *October 12, 2021 - *Workshop registration deadline: *TBA - *Workshop: *November 06-12, 2021 All deadlines are 23:59 anywhere on earth (UTC-12) ** Workshop description ** An ontology is well known to be the best way to represent knowledge in a domain of interest. It is defined by Gruber as ?an explicit specification of a conceptualization?. It allows us to represent explicitly and formally existing entities, their relationships and their constraints in an application domain. This representation is the most suitable and beneficial way to solve many challenging problems related to the information domain (e.g., knowledge representation, knowledge sharing, knowledge reusing, automated reasoning, knowledge capitalizing and ensuring semantic interoperability among heterogeneous systems). Using ontology has many advantages, among them we can cite ontology reusing, reasoning and explanation, commitment and agreement on a domain of discourse, ontology evolution and mapping, etc. As a field of artificial intelligence (AI), ontology aims at representing knowledge based on declarative and symbolic formalization. Combining this symbolic field with computational fields of IA such as Machine Learning (ML), Deep Learning (DL), Probabilistic Graphical Models (PGMs), Computer Vision (CV) and Natural Languages Processing (NLP) is a promising association. Indeed, ontological modeling plays a vital role to help AI reducing the complexity of the studied domain and organizing information inside it. It broadens AI?s scope allowing it to include any data type as it supports unstructured, semi-structured, or structured data format which enables smoother data integration. The ontology also assists AI for interpretation process, learning, enrichment, prediction, semantic disambiguation and discovering of complex inferences. Finally, the ultimate goal of ontologies is the ability to be integrated in a software to make sense of all information. In the last decade, ontologies are increasingly being used to provide background knowledge for several AI domains in different sectors (e.g. energy, transport, health, banking and insurance, etc.). Some of these AI domains are: - Machine learning and deep learning: semantic data selection, semantic data pre-processing, semantic data transformation, semantic data prediction, semantic clustering correction of the outputs, semantic enrichment with ontological concepts, use the semantic structure for promoting distance measure, etc. - Probabilistic Graphical Models: learning PGM (structure or parameters) using ontologies, probabilistic semantic reasoning, semantic causality and probability, etc. - Computer Vision: semantic image processing, semantic image classification, semantic object recognition/classification, etc. - Blockchain: semantic transactions, interoperable blockchain systems, etc. - Natural Language Processing: semantic text mining, semantic text classification, semantic role labelling, semantic machine translation, semantic question answering, ontology based text summarizing, semantic recommendation systems, etc. - Robotics: semantic task composition, task assignment, communication, cooperation and coordination, etc. - Voice-video-speech: semantic voice recognition, semantic speech annotation, etc. - Game Theory: semantic definition of specific games, semantic rules and goals definition, etc. - etc. ** Objective ** This workshop aims at highlighting recent and future advances on the role of ontologies and knowledge graphs in different domains of AI and how it can be used in order to reduce the semantic gap between the data, applications, machine learning process, etc., in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in ontologies and AI approaches. We invite the submission of original works that are related -- but are not limited to -- the topics below. ** Topics of interests ** - Ontology for Machine Learning/Deep Learning - Ontology for Probabilistic Graphical Models - Ontology for Federated Machine Learning - Ontology for Smart Contracts - Ontology for Computer Vision - Ontology for Natural Language Processing - Ontology for Robotics and Multi-agent Systems - Ontology for Voice-video-speech - Ontology for Game Theory - and so on. ** Submission * * The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: *KR2021_authors_kit * Papers are to be submitted through the workshop's *EasyChair * submission page. We welcome the following types of contributions: - *Full papers* of up to 9 pages, including abstract, figures and appendices (if any), but excluding references and acknowledgements: Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* of up to 4 pages, excluding references and acknowledgements: Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KR 2021 * page. ** Workshop chairs ** - Sarra Ben Abb?s, Engie, France - Lynda Temal, Engie, France - Nada Mimouni, CNAM, France - Ahmed Mabrouk, Engie, France - Philippe Calvez, Engie, France ** Program Committee ** - Shridhar Devamane, Physical Design Engineer, Tecsec Technologies, Bangalore, India - Philippe Leray, Professor at University of Nantes - Stefan Fenz, key researcher at SBA Research and Senior Scientist at Vienna University of Technology - Olivier Dameron, Professor at Universit? de Rennes I, Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique - Aar?n Ayll?n Benitez, Phd in bioinformatique, ontology leader at BASF digital solutions - Fran?ois Scharffe, Researcher on Knowledge based AI, New York, United States - Maxime Lefran?ois, Associate Professor at Saint Etienne University, France - Pierre Maret, The QA Company & Saint Etienne University, France - Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico **Publication* The best papers from this workshop may be included in the supplementary proceedings of KR 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From isact at cogsy.de Tue Jul 20 04:06:35 2021 From: isact at cogsy.de (ISACT2021 Organising Committee) Date: Tue, 20 Jul 2021 10:06:35 +0200 Subject: Connectionists: CfP: International Summer School on Situation Awareness in Cognitive Technologies 2021 (Extended Deadline 26.07.2021 + Speaker Announcement) Message-ID: <20432800-EBFC-4947-AB50-203F59837506@cogsy.de> **** We apologise for cross-postings **** **** Please forward this e-mail to potentially interested students/researchers **** International Summer School on Situation Awareness in Cognitive Technologies 2021 Theory and Application September 6-11th, 2021 at Magdeburg, Germany. In conjunction with ICHMS 2021. http://isact.cogsy.de/ *** Scope: *** We are pleased to announce that the International Summer School on Situation Awareness in Cognitive Technologies (ISACT 2021) will be held from September 6 to 11, 2021 in Magdeburg, Germany, in conjunction with the IEEE International Conference on Human-Machine Systems (ICHMS 2021). Situation Awareness in Cognitive Technologies is a trending research direction that gained a lot of interest from the industry in recent years. Therefore, the summer school aims to present the fundamental aspects of situation awareness in cognitive technologies which can be discussed in an interdisciplinary context. There are a couple of aspects to consider: Situation Awareness, Cognitive Technologies, Human-Computer Interaction (HCI), and Explainable AI (XAI). Especially the HCI context provides a link between theory and application which receives special attention in this summer school along with the recent trends in Explainable AI. To make this school an interactive learning experience, we would encourage the participants to share their research presentations (posters) related to the above-mentioned topics. This year?s edition intends to bring together academia and industry to provide a large practical perspective to undergraduate and graduate (including early-stage Ph.D.) students, as well as to young industry personnel. *** Speakers: *** - Abir Das, Boston University, IIT Kharagpur - Albrecht Schmidt, LMU Munich - Catherine Burns, University of Waterloo - Chiara Bartolozzi, Istituto Italiano di Tecnologia - Chinmay Kulkarni, Carnegie Mellon University - Christoph Guger, g.tec - Daniele Magazzeni, JPMorgan, King?s College London - Ivan Gligorijevi?, mBrainTrain - Ronald B?ck, University of Magdeburg - Raimund Dachselt, TU Dresden (ICHMS Keynote) - Tiago Falk, MuSAE Lab, INRS Montreal - Xudong Zhang, Texas A&M University (ICHMS Keynote) The International Summer School on Situation Awareness in Cognitive Technologies is a great opportunity to learn about new technologies, meet fellow students/employees, discuss ideas with experts, participate in an international conference and simply have a splendid time in the city of Otto von Guericke! *** Important Dates: *** Application Deadline: July 19th, 2021 July 26th, 2021 (extended) Notification of Acceptance: July 28th, 2021 Summer School Date: September 6-11th, 2021 *** Application: *** The application deadline is July 19th, 2021 July 26th, 2021 (extended). Please fill out the application form at isact.cogsy.de/apply and upload your CV to isact.cogsy.de/cv . Moreover, we also accept applications for travel grants. The travel grant intends to cover the traveling costs to the summer school's venue. Therefore, the application must provide an additional list of estimated travel costs to Magdeburg. For further information please refer to isact.cogsy.de . *** Organisers: *** Ronald B?ck, OVGU Magdeburg Ingo Siegert, OVGU Magdeburg Sayantan Polley, OVGU Magdeburg Johannes Schleiss, OVGU Magdeburg Soumick Chatterjee, OVGU Magdeburg Andreas N?rnberger, OVGU Magdeburg *** Covid-19 Situation *** We are looking forward to having the summer school as an interactive in-person event in the beautiful city of Magdeburg. However, it is difficult to predict the conditions of September about this dynamic situation of COVID-19. We will be prepared to switch to a fully online interactive conference if necessary. In any way, we will offer ways for virtual/hybrid participation for those participants who are, e.g. due to travel restrictions, unable to attend. -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Tue Jul 20 07:27:38 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Tue, 20 Jul 2021 14:27:38 +0300 Subject: Connectionists: First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021): Last Call for Late Submissions Message-ID: <75Q1SC6Q-LEKC-H6SU-JZ6L-WCCSTGVX6HXR@cs.ucy.ac.cy> *** Last Call for Late Submissions *** First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021) November 8-10, 2021, Golden Bay Hotel 5*, Larnaca, Cyprus http://cyprusconferences.org/ihaw2021/ (Proceedings to be published by Springer; Special Session on AAL, see below; Special Journal Issue with SN Computer Science) The call for late submissions has a firm deadline on July 30, 2021 ICT for Health, Accessibility and Wellbeing (IHAW 2021) is the first of the series of International Conferences on "ICT for Societal Challenges". It is a showcase for high quality oral and poster presentations and demonstrations sessions. This conference aims to be a platform for multi and interdisciplinary research at the interplay between Information and Communication Technologies, Biomedical, Neuro-cognitive, and Experimental research. This research includes the design, experimental evaluation and standardization of new ICT scalable systems and in-silico systems for new and future inclusive and sustainable technologies that benefit all: healthy people, people with disabilities or other impairments, people having chronic diseases, etc. User-centered design and innovation, new intuitive ways of human -computer interaction, and user acceptance are the topics of particular interest. Conference Topics Relevant topics include (but are not limited to) the following: ? AI and Cognition, Cognitive Mechatronics, Human-Machine Interaction, Cobotics, Model-based design and configuration tools for healthcare and well-being, AI methods for medical device testing ? Systems for management of health and care (mental health, pain, neurological disorders, sight, hearing, balance, space awareness; sensory based physiological and psychological non-invasive measurements, preventive healthcare, m-healthcare, e-healthcare, integrated care, serious games, electronic health record, self-management, patient-centered systems for survivorship, palliation and/or end-of-life care) ? Precision medicine ? ICT for in-silico trials ? Implantable medical devices ? Computational methods for medical device ? Models for human-device interaction for medicine ? Systems promoting access to the socio-economical and cultural environment ? Age-friendly systems for active and healthy aging (telepresence, robotics solutions, innovative solutions for independent living, innovative elderly care, integrated care, age-related risks prevention/detection) ? Multimodal assistive ICT devices to empower people with sensory, cognitive, motor, balance and spatial impairments ? ICT systems to improve the quality of life and for daily life activities assistance (education, recreation, and nutrition) ? Smart living homes and wearables (Intelligent and personalized digital solutions for sustaining and extending healthy and independent living; personalized early risk detection and intervention) ? New experimental validation methods with end-users ? Standardization, certification, labeling, privacy, security and communication issues (related to aging well, to sensory impairment) High-quality original submissions that address such future issues, show the design and evaluation in (near-) real scenarios, explain how to benchmark systems, and outline the education and training procedures for acquiring new perceptual skills while using such systems are welcome. Research and technical papers are expected to present significant and original contributions validated with the targeted end-users. Early works and works- in-progress are invited to submit a short or demo paper. Submissions should clearly state the progress beyond the existing state-of- the-art and the expected societal benefits of the developed technology. When possible, validate scenarios with the target user groups and well-identified technology readiness levels (https://en.wikipedia.org/wiki/Technology_readiness_level) should be at least outlined. Special Session on Active Assisted Living (AAL) Do you do research or commercial work in the active and healthy ageing area and you want to participate in the discussion driving the future of healthy ageing? Do you have a funded project in the AAL programme and would like to present the results of the project? Then the Special Session on AAL is the perfect opportunity for you to be involved in an ecosystem that promotes active and healthy ageing. This special session at the IHAW 2021 conference aims to bring together the community of healthy ageing to present their results and to discuss the existing opportunities in health technology and reflect on the future of ageing well in the digital world. You will be presented with the opportunity to meet and discuss with several stakeholders from universities, industry, regional and national authorities, private companies working with older adults and many more. You can use the opportunity to showcase the best practices and find solutions to challenges through presentations, discussions, workshops and networking. The Special Session on AAL is the ideal meeting place for presenting the results from cutting-edge, funded AAL projects, as well as independent research or commercial work in the active and healthy ageing area, performed from: ? Universities and research institutions ? End-user organisations and companies working with older adults ? Industry professionals involved in the technology sector with an interest in active and healthy ageing ? Health care and social care providers ? Individuals and organisations implicated in the AAL funded projects The goal of this Special Session is to engage researchers and all relevant stakeholders of the healthy ageing value chain into networking and discussions to present their experiences and provide answers and solutions to problems and issues faced by older adults. This community is of great importance since it drives and aims to achieve better conditions and a healthier and improved society for the future of older adults. The proactive involvement of the community in conceptualising, designing and developing cost-effective systems that offer services to serve our ageing society, as well as the presentation of the solutions and discussion and exchange of ideas in this special session aims to drive and cultivate innovative thinkers, creative people and change makers in the area of active and healthy ageing. Please follow the submission guidelines and important dates as they are stated below and make sure that under the abstract of your submitted paper there is the statement: "Submitted to the Special Session on AAL". Accepted papers will be published by Springer in the CCIS Series. Submissions We invite three types of paper submissions: 1. Research and Technical papers, up to 15 pages, describing original unpublished research, making a substantial contribution to the research field 2. Short papers, up to 6 pages, describing original unpublished research, making a small but solid contribution to the field 3. Demos, up to 4 pages, describing innovative tools that address topics relevant to the conference All submissions will be reviewed by the Program Committee. Accepted contributions will appear in the archival proceedings of IHAW 2021, published by Springer in the Communications in Computer and Information Science (CCIS) series (https://www.springer.com/series/7899), and will be presented in plenary sessions of the conference. The authors of the best papers accepted for IHAW2021 will be invited to submit extended versions for a special issue with SN Computer Science (https://www.springer.com/journal/42979). Submissions of all types should be carefully formatted according to the Springer format for conference proceedings: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and should specify on the first page the type of submission ("R&T", "Short", "Demo"). The submission process will be handled through Easy Chair and the submission link is: https://easychair.org/conferences/?conf=icihaw2021 . Important Dates ? Submission Deadline: July 30, 2021 (AoE) (firm) ? Notification: August 23, 2021 ? Camera-Ready Submission Deadline: September 6, 2021 ? Author Registration Deadline: September 6, 2021 Organizers Honorary General Chair ? Edwige Pissaloux, University of Rouen Normandy, France General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Scientific Chair ? Salim Bouhlel, University of Sfax, Tunisia Scientific Vice-Chair and Special Session Chair ? Achilleas Achilleos, Frederick University, Cyprus Publicity Chair ? Ramiro Velazquez, Universidad Panamericana, Mexico Finance Chair ? Petros Stratis, Easy Conferences LTD., Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From vassilisvas at gmail.com Tue Jul 20 08:10:38 2021 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Tue, 20 Jul 2021 15:10:38 +0300 Subject: Connectionists: [jobs] Team Leader Positions at CYENS Centre of Excellence in Cyprus - Deadline 31 July 2021 Message-ID: Dear colleagues, The CYENS Centre of Excellence in Cyprus is seeking 3 full-time positions for Team Leaders of Multidisciplinary Research Groups (MRGs). Further details of the program can be found in the below links of our website: 1. MRG Team Leader - open for a wider range of topics 2. MRG Team Leader - open specifically for Data Science and Network Science Application deadline 31st July 2021. Regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Jul 20 08:27:13 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 20 Jul 2021 12:27:13 +0000 Subject: Connectionists: 2 days to go ... Summer Workshop on AI & Smart Health (July 22-23, 2021) In-Reply-To: References: , , Message-ID: Please see updated schedule and link to registration: https://community.wvu.edu/~daadjeroh/projects/cresh/activity/workshop2021/ ________________________________ From: Donald Adjeroh Sent: Friday, July 9, 2021 10:09 AM To: don at csee.wvu.edu Subject: Call for Participation: Summer Workshop on AI & Smart Health (July 22-23, 2021) We apologize if you receive multiple copies. As part of the NSF Track-2 project on "Multi-Scale Integrative Approach to Digital Health: Collaborative Research and Education in Smart Health in West Virginia and Arkansas" (http://community.wvu.edu/~daadjeroh/projects/cresh/ ) we would like to announce a Summer Workshop on AI & Data Science in Smart Health. The workshop will be from July 22 - 23, 2021. This will be held remotely as a virtual workshop. Workshop is free, with no registration fee. Please visit the website: https://community.wvu.edu/~daadjeroh/projects/cresh/activity/workshop2021/ for more information on the workshop, and to register. Please help us to forward this to students, colleagues, and others that may be interested. Regards, Don Adjeroh, PhD Professor and Associate Chair Graduate Coordinator of Computer Science West Virginia University Morgantown, WV 26506 http://community.wvu.edu/~daadjeroh/ Tel: 304-293-9681 Fax: 304-293-8602 -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Tue Jul 20 09:10:53 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 20 Jul 2021 15:10:53 +0200 Subject: Connectionists: CFP Complex Networks 2021 (Deadline Sept 01) Message-ID: CFP COMPLEX NETWORKS 2021 Madrid Spain November 30 - December 02, 2021 ============================================= Notice ============================================= Due to the global COVID-19 pandemic, COMPLEX NETWORKS 2021 will be held in the form of a hybrid event (online & in-person). *10th** International Conference on Complex Networks & Their Applications* *Madrid, Spain *November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until September 01, 2021. Due to the global COVID-19 pandemic, COMPLEX NETWORKS 2021 will be held in the form of hybrid event (online & in-person). *SPEAKERS * ? Marc Barth?l?my CEA France ? Ginestra Bianconi Queen Mary University of London UK ? Jo?o Gama University of Porto Portugal ? Dirk Helbing ETH Z?rich Switzerland ? Yizhou Sun UCLA USA ? Alessandro Vespignani Northeastern University USA *TUTORIALS (November 29, 2021)* ? Elisabeth Lex Graz University of Technology Austria ? Giovanni Petri ISI Foundation Italy *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 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)* Templates are available on the submission webpage. If in doubt, please contact the Publication Chair (matteo.zignani at unimi.it) All contributions should be submitted via EasyChair . Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks 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 and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Tue Jul 20 11:54:33 2021 From: li.zhaoping at tuebingen.mpg.de (Zhaoping Li) Date: Tue, 20 Jul 2021 17:54:33 +0200 Subject: Connectionists: Postdoc position in Tuebingen on TMS/ERP projects to understand visual perception/attentional processes In-Reply-To: References: Message-ID: <3096e908-84e8-df59-24b1-50bb23ce67f3@tuebingen.mpg.de> Two postdoc positions are available? at the Max Planck Institute for Biological Cybernetics in Tuebingen, Germany, to work on projects aimed towards understanding visual attentional and perceptual processes using TMS and/or EEG methodologies. The framework and motivation of the projects can be found at http://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. TMS and/or EEG methodologies can be used in combination with fMRI/MRI, eye tracking, 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. Candidates should be skilled in visual psychophysics and proficient in programming, previous experience in TMS and/or ERP is a plus.? Please send your application by a single pdf file, including your CV, a brief statement of research interests, an approximate date for availability, and names and contacts for? three references to jobs.li at tuebingen.mpg.de. Applications sent before September 1st will be preferred, but later applications will be considered until the positions are filled. The appointment is for one year, renewable for additional years. Enquiry to li.zhaoping at tuebingen.mpg.de Li Zhaoping -- Li Zhaoping Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Dept of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From llong at simonsfoundation.org Tue Jul 20 16:14:39 2021 From: llong at simonsfoundation.org (Laura Long) Date: Tue, 20 Jul 2021 16:14:39 -0400 Subject: Connectionists: SCGB Global Postdoc/Student Meeting: Thursday, August 5th by Kayvon Daie Message-ID: The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at this month's Global meeting! Please see event details and Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-163885819899 Thursday, August 5th, 1pm Eastern Time https://simonsfoundation.zoom.us/j/93637538440?pwd=MnNCeVF1eThKZmVUa2p5bUlRR3BZUT09 Passcode: 443599 *Kayvon Daie*Research Associate, Svoboda Laboratory HHMI's Janelia Research Campus *Dissection of the neural circuitry underlying short-term memory* Short-term memory is associated with persistent neural activity without sustained input, arising from the interactions between neurons with brief time constants. A variety of neural circuit models could account for existing measurements of neural activity. To explore which, if any, of these models are most consistent with neural circuitry, we measured coupling between functionally characterized motor cortex neurons in mice performing a memory-guided response task. Targeted two-photon photostimulation of small (<10) groups of neurons produced sparse calcium responses in coupled neurons over approximately 100 ?m. Neurons with similar task-related selectivity were preferentially coupled. Photostimulation of different groups of neurons modulated activity in different subpopulations of coupled neurons. Responses of stimulated and coupled neurons persisted for seconds, far outlasting the duration of the photostimuli. Photostimuli produced behavioral biases that were predictable based on the tuning of the photostimulated population, even though photostimulation preceded the behavioral response by seconds. Our results suggest that memory-related neural circuits contain intercalated, recurrently connected modules and that these modules are coupled via long-range ?hidden feedforward? connections. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-163885819899 Please contact Laura Long at llong at simonsfoundation.org with any questions. Sign up for our mailing list here: https://forms.gle/DZa1b2WCtvw5XFhAA -------------- next part -------------- An HTML attachment was scrubbed... URL: From justin.svegliato at gmail.com Tue Jul 20 10:29:03 2021 From: justin.svegliato at gmail.com (Justin Svegliato) Date: Tue, 20 Jul 2021 10:29:03 -0400 Subject: Connectionists: [CFP] Deadline Extension: IROS 2021 Workshop on Building and Evaluating Ethical Robotic Systems (ERS 2021) Message-ID: *We are pleased to announce that the submission deadline for ERS 2021 has been extended to August 13, 2021!* Website: https://ers-workshop.com/ Submission Deadline: August 13, 2021 (AoE) Submission Link: https://easychair.org/conferences/?conf=ers2021 Contact: ers.workshop at gmail.com *===Workshop Overview===* The deployment of robotic systems has been accelerating in many domains that have a substantial impact on society. For example, robotic systems have been proposed for applications that range from elder care and autonomous driving to nuclear energy production and military technology. However, while our ability to build robotic systems that integrate into our daily lives has expanded over the years, it has outstripped our ability to build robotic systems that can account for the large number of different ethical considerations that may arise during operation. This workshop therefore focuses on building and evaluating ethical robotic systems at every level of the robotics stack while broadening the scope of areas that should be considered by researchers, such as how users can interact with new and existing technology or how legislators can develop actionable standards and regulations. *ERS 2021* aims to bring together researchers from academia and industry to discuss key challenges, learn from real-world case studies, identify potential research avenues, explore recent technical advances, present novel data sets, and survey existing work related to ethical robotic systems. Given this aim, we invite contributions that draw from a range of methods in artificial intelligence and robotics, such as planning, reinforcement learning, machine learning, deep learning, human-robot interaction, safety, explainability, transparency, formal verification, social preferences, and human factors. Most importantly, we welcome researchers from disciplines beyond robotics, including philosophy, psychology, sociology, and law, in order to represent diverse perspectives on building and evaluating ethical robotic systems. Relevant research topics include but are not limited to: - Value alignment in robotic systems - Cultural, political, and societal impacts of robotics - Methods for analyzing the ethical implications of autonomous systems - Moral reasoning in autonomous systems - Safe, transparent, explainable, or interpretable AI systems - Ethical compliance in robotic systems - Ethically sensitive design and implementation of autonomous systems - Human-compatible or beneficial AI systems - Law, regulation, and governance of robotics - Challenges of building and evaluating ethical robotic systems - Ethical models and algorithms in robotic systems - Impacts of robotics on vulnerable groups - Novel data sets or test suites for ethical robotic systems *===Workshop Format===* This is a virtual IROS workshop that will include invited speakers, oral presentations of accepted papers, poster sessions of accepted papers, discussion sessions, and moderated panels. *===Submission Guidelines===* We encourage a range of submission types to facilitate broad participation: - Highlight Paper (up to 2 pages) - Short Technical Paper (up to 4 pages) - Full Technical Paper (up to 6 pages) - Position Paper (up to 4 pages) - Case Study Paper (up to 6 pages) - Survey Paper (up to 8 pages) Details: Papers published, accepted, or under review at other conferences can be submitted and presented at the workshop subject to the conference guidelines. There is no page limit for references and supplementary materials. Submissions should be in PDF and follow the IROS 2021 format guidelines. All accepted papers will be included in an electronic, non-archival proceedings. *===Best Paper Award===* The Center for Human-Compatible AI (CHAI) at UC Berkeley and the Berkeley Existential Risk Initiative (BERI) is generously sponsoring the *ERS 2021 Best Paper Award*. The best paper will be selected based on a vote among the organizers and the program committee of the workshop. The authors of the best paper will receive a $400 cash prize and a printed certificate at the end of the workshop. *===Important Dates===* - Paper Submission: August 13, 2021 (AoE) - Author Notification: August 25, 2021 - Camera-Ready Submission: TBD *===Invited Speakers===* - Ron Arkin, Georgia Tech - Francesca Rossi, IBM - Matthias Scheutz, Tufts University - Ben Kuipers, University of Michigan - Bertram Malle, Brown University *===Organizers===* - Paul Bello, Naval Research Laboratory - Louise Dennis, University of Manchester - Dylan Hadfield-Menell, MIT - Samer Nashed, UMass Amherst (Co-Chair) - Justin Svegliato, UMass Amherst (Co-Chair) - Alan Winfield, UWE Bristol -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Tue Jul 20 09:59:08 2021 From: cognitivium at sciencebeam.com (Mary) Date: Tue, 20 Jul 2021 18:29:08 +0430 Subject: Connectionists: IBRO School of Neuroscience Message-ID: <202107201359.16KDxGsw096178@scs-mx-01.andrew.cmu.edu> Dear researchers, As you may know, IBRO-APRC Georgian Associate School of Neuroscience will be held on 20-24 August, 2021, virtually. Alongside the IBRO-APRC Georgian Associate School of Neuroscience, ScienceBeam, the sponsor of the event, is the organizer of two workshops for the School of Neuroscience:? 1. Human Electrophysiology workshop, with the ?EEG/ERP Recording and Analysis? topic. o Syllabus: ? Neural signals from theory to practice ? Basics of EEG/ERP experimental designs in cognitive neuroscience and recordings ? EEG pre-processing ? Event-related potentials ? EEG microstates ? Brain oscillatory dynamics o Lecturer: DR. RAPHA?L FARGIER o Ph.D. in Cognitive Neuroscience, Universit? Claude Bernard Lyon 1, France o Postdoctoral Fellow, Department of Special Needs Education, University of Oslo (Norway) ? Please visit the link below for more information and registration: https://sciencebeam.com/eeg-erp-recording-and-analysis/ 2. Animal Electrophysiology workshop, with ?Multi-channel/Multi-unit Recording in Behaving Mice? topic, which has two sections, theoretical and practical. o Syllabus: o Preparation of multichannel recordings electrodes/tetrodes o Animal surgeries/multichannel/multi-unit recordings o Data acquisition and storing o Practical section: Multiple rat surgeries and signal recordings o Lecturer: Dr. Touqeer Ahmed o Associate Professor and HoD National University of Sciences and Technology (NUST) ? Please visit the link below for more information and registration: https://sciencebeam.com/multi-channel-multi-unit-recording-in-behaving-mice/ Both workshops will be held on August 24, 2021, and each workshop is 3 hours. By registering for these workshops, you will receive a certificate of participation, approved by IBRO, ScienceBeam, and International Center for Neuroscience Research. If you require any further information, contact us at workshop at sciencebeam.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Jul 21 02:11:04 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 21 Jul 2021 09:11:04 +0300 Subject: Connectionists: Invitation to join 2021 Summer Short Course 'Deep Learning and Computer Vision', 23-24th August 2021 References: <048501d778ba$141b69b0$3c523d10$@csd.auth.gr> <001701d778c9$0fecdd60$2fc69820$@csd.auth.gr> Message-ID: <038701d77df7$301eadb0$905c0910$@csd.auth.gr> Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on 'Deep Learning and Computer Vision', 23-24th August 2021: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years. Course description 'Deep Learning and Computer Vision' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures (8 hours) provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to Neural SLAM, target detection and tracking. Part B also contains application-oriented lectures on autonomous drones, cars and marine vessels, e.g., drone mission planning for cinematography and related applications (marine surveillance, infrastructure/building inspection, car vision). Course lectures Part A: (first day, 8 lectures) 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B: (second day, 8 lectures) 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep Object Detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Computer Vision for Autonomous Systems' 25-27th August 2021: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Wed Jul 21 07:54:08 2021 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Wed, 21 Jul 2021 11:54:08 +0000 Subject: Connectionists: [Jobs] Professorship AI/ML at Zuerich University of Applied Sciences ZHAW, Switzerland Message-ID: Dear colleagues There is an opening for a professorship in AI/ML at Zuerich University of Applied Sciences, Winterthur, Switzerland: https://www.zhaw.ch/de/jobs/offene-stellen/stelleninserat/job/detail/2491757/ For any enquiries, please use the contacts given in the above link. Best regards Frank-Peter Schilling -- Dr. Frank-Peter Schilling Zurich University of Applied Sciences ZHAW CAI ? Centre for Artificial Intelligence Obere Kirchgasse 2 / Postfach / CH-8401 Winterthur https://fpschill.github.io/ +41 58 934-6955 -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Wed Jul 21 22:07:20 2021 From: junfeng989 at gmail.com (Jun Feng) Date: Thu, 22 Jul 2021 10:07:20 +0800 Subject: Connectionists: IEEE DependSys/HPCC/DSS/SmartCity/DependSys/DIKW-2021, Dec. 17-19, Haikou, China [Submission Deadline: Sep. 1][10+ Special Issues] Message-ID: CFP: IEEE DependSys/HPCC/DSS/SmartCity/DependSys/DIKW-2021, Dec. 17-19, Haikou, China [Submission Deadline: Sep. 1][10+ Special Issues] [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= [Submission Deadline: Sep. 1][10+ Special Issues] [Dec. 17-19, Haikou, China] CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications http://www.ieee-cybermatics.org/2021/dependsys/ CFP IEEE HPCC 2021: The 23rd IEEE International Conference on High Performance Computing and Communications http://www.ieee-cybermatics.org/2021/hpcc/ CFP IEEE DSS 2021: The 7th IEEE International Conference on Data Science and Systems http://www.ieee-cybermatics.org/2021/dss/ CFP IEEE SmartCity 2021: The 19th IEEE International Conference on Smart City http://www.ieee-cybermatics.org/2021/smartcity/ CFP DIKW 2021: 2021 International Conference on Data, Information, Knowledge and Wisdom http://www.ieee-cybermatics.org/2021/dikw/ The IEEE DependSys/HPCC/DSS/SmartCity/DependSys/DIKW 2021 Conferences will be held at Haikou, China, December 17-19, 2021. We will be pretty happy to see all authors manage to attend DependSys/HPCC/DSS/SmartCity/DependSys/DIKW-2021. However, given the COVID-19 pandemic and associated travel restrictions, as the safety of people is of the highest priority, we know that special circumstances are best handled by having flexible options, and thus we are offering the option of either physical presence or virtual participation. Please consider to contribute and submit your original research papers to DependSys/HPCC/DSS/SmartCity/DependSys/DIKW-2021. ============================================================================= IEEE DependSys/HPCC/DSS/SmartCity/DependSys/DIKW 2021 are sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. IEEE Transactions on Intelligent Transportation Systems SI on Graph-based Machine Learning for Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_db671bf4e4eb4a41ac1cf6da14a77750.pdf 2. IEEE Transactions on Intelligent Transportation Systems SI on Data Science for Cooperative Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_de7a6f420a2b4c6d894e4de63e495624.pdf 3. IEEE Transactions on Network Science and Engineering SI on The Nexus Between Edge Computing and AI for 6G Networks https://www.comsoc.org/publications/journals/ieee-tnse/cfp/nexus-between-edge-computing-and-ai-6g-networks 4. IET Communications SI on Intelligent Metasurfaces for Smart Connectivity https://digital-library.theiet.org/files/IET_COM_CFP_IMSC.pdf 5. Security and Communication Networks SI on Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications https://www.hindawi.com/journals/scn/si/926306/ 6. MDPI Sensors SI on Recent Advances in Algorithm and Distributed Computing for the Internet of Things https://www.mdpi.com/journal/sensors/special_issues/Algorithm_Distributed_Computing_IOT 7. International Journal of Distributed Sensor Networks SI: Privacy-Preserving Solutions in the Internet of Things https://journals.sagepub.com/page/dsn/collections/special-issues/privacy-preserving-solutions-in-the-internet-of-things * More special issues will be added later. ================== Important Dates ================== Workshop Proposal Due: 1 August, 2021 Paper Submission Deadline: 1 September, 2021 Authors Notification: 1 October, 2021 Final Manuscript Due: 1 November, 2021 Conference Date: 17-19 December, 2021 ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (http://www.ieee-cybermatics.org/2021/dependsys/) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From andrea.simonelli at unitn.it Wed Jul 21 10:13:38 2021 From: andrea.simonelli at unitn.it (Andrea Simonelli) Date: Wed, 21 Jul 2021 16:13:38 +0200 Subject: Connectionists: ICCV21 Workshop on 3D Object Detection from Images (3DODI) Message-ID: Workshop on 3D Object Detection from Images (3DODI) Virtual @ ICCV 2021 https://sites.google.com/unitn.it/3dodi Call for Papers ****with prizes**** Deadline July 25th Description The 1st Workshop on 3D Object Detection from Images aims to gather researchers and engineers from academia and industry to discuss the latest advances in Image-based 3D object detection. In this half-day workshop, we will have invited speakers, regular paper presentations and paper prizes to present the current state of the art in terms of methodologies and applications, limitations and future directions in this challenging research area. Invited Speakers - Andreas Geiger, University of Tubingen - Adrien Gaidon, Toyota Research Institute - Laura Leal-Taix?, Technical University of Munich - Fisher Yu, ETH Zurich - Xiaoming Liu, Michigan State University Call for Papers The suggested list of topics is (but is not limited to): - 3D object detection methods from images in a monocular setting, stereo or other calibrated multi-camera settings, or from multiple image frames or video streams - Exploration of novel representations, e.g. like Pseudo-LiDAR, for image-based 3D object detection - Exploitation of semi-supervised or self-supervised techniques in the context of image-based 3D object detection - Domain adaptation or transfer learning with image-based 3D object detectors - Exploring adversarial attacks in the context of image-based 3D object detection - Advances on depth estimation for the purpose of improving 3D Object Detection pipelines - Novel metrics to benchmark 3D object detectors as well as critical analyses of the existing metrics and evaluation protocols - Novel benchmark datasets for image-based 3D object detection methods, or critical analyses of existing benchmarks and methods - Novel strategies for investigating the limits of existing monocular 3D object detection models - Applications of image-based 3D object detections (robotics, autonomous driving, Augmented reality, etc.) Prizes In order to solicit high-quality submissions we will have two best paper prizes: - Best paper: 2k USD - Runner-up: 1k USD Dates - Submission: July 25th 11:59PM Pacific Time - Notification: August 12th 11:59PM Pacific Time - Camera ready: August 16th 11:59PM Pacific Time Contact For any information contact 3dodi.workshop at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Thu Jul 22 07:18:58 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Thu, 22 Jul 2021 12:18:58 +0100 Subject: Connectionists: [CFP] DEADLINE EXTENSION for 1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence @ KR-2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Ontology Uses and Contribution to Artificial Intelligence" which will be held online or in Hanoi, Vietnam - November 6-12, 2021. * **** OnUCAI - CALL FOR PAPERS ***** * Ontology Uses and Contribution to Artificial Intelligence* * 1st International Workshop, in conjunction with *KR 2021 * November 6-12, 2021 - Online or in Hanoi, Vietnam* https://sites.google.com/view/onucai-kr2021 ** Important dates ** - *Workshop paper submission due: **July 19, 2021 **September 06, 2021* - *Workshop paper notifications: *September 30, 2021 - *Workshop paper camera-ready versions due: *October 12, 2021 - *Workshop registration deadline: *TBA - *Workshop: *November 06-12, 2021 All deadlines are 23:59 anywhere on earth (UTC-12) ** Workshop description ** An ontology is well known to be the best way to represent knowledge in a domain of interest. It is defined by Gruber as ?an explicit specification of a conceptualization?. It allows us to represent explicitly and formally existing entities, their relationships and their constraints in an application domain. This representation is the most suitable and beneficial way to solve many challenging problems related to the information domain (e.g., knowledge representation, knowledge sharing, knowledge reusing, automated reasoning, knowledge capitalizing and ensuring semantic interoperability among heterogeneous systems). Using ontology has many advantages, among them we can cite ontology reusing, reasoning and explanation, commitment and agreement on a domain of discourse, ontology evolution and mapping, etc. As a field of artificial intelligence (AI), ontology aims at representing knowledge based on declarative and symbolic formalization. Combining this symbolic field with computational fields of IA such as Machine Learning (ML), Deep Learning (DL), Probabilistic Graphical Models (PGMs), Computer Vision (CV) and Natural Languages Processing (NLP) is a promising association. Indeed, ontological modeling plays a vital role to help AI reducing the complexity of the studied domain and organizing information inside it. It broadens AI?s scope allowing it to include any data type as it supports unstructured, semi-structured, or structured data format which enables smoother data integration. The ontology also assists AI for interpretation process, learning, enrichment, prediction, semantic disambiguation and discovering of complex inferences. Finally, the ultimate goal of ontologies is the ability to be integrated in a software to make sense of all information. In the last decade, ontologies are increasingly being used to provide background knowledge for several AI domains in different sectors (e.g. energy, transport, health, banking and insurance, etc.). Some of these AI domains are: - Machine learning and deep learning: semantic data selection, semantic data pre-processing, semantic data transformation, semantic data prediction, semantic clustering correction of the outputs, semantic enrichment with ontological concepts, use the semantic structure for promoting distance measure, etc. - Probabilistic Graphical Models: learning PGM (structure or parameters) using ontologies, probabilistic semantic reasoning, semantic causality and probability, etc. - Computer Vision: semantic image processing, semantic image classification, semantic object recognition/classification, etc. - Blockchain: semantic transactions, interoperable blockchain systems, etc. - Natural Language Processing: semantic text mining, semantic text classification, semantic role labelling, semantic machine translation, semantic question answering, ontology based text summarizing, semantic recommendation systems, etc. - Robotics: semantic task composition, task assignment, communication, cooperation and coordination, etc. - Voice-video-speech: semantic voice recognition, semantic speech annotation, etc. - Game Theory: semantic definition of specific games, semantic rules and goals definition, etc. - etc. ** Objective ** This workshop aims at highlighting recent and future advances on the role of ontologies and knowledge graphs in different domains of AI and how it can be used in order to reduce the semantic gap between the data, applications, machine learning process, etc., in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in ontologies and AI approaches. We invite the submission of original works that are related -- but are not limited to -- the topics below. ** Topics of interests ** - Ontology for Machine Learning/Deep Learning - Ontology for Probabilistic Graphical Models - Ontology for Federated Machine Learning - Ontology for Smart Contracts - Ontology for Computer Vision - Ontology for Natural Language Processing - Ontology for Robotics and Multi-agent Systems - Ontology for Voice-video-speech - Ontology for Game Theory - and so on. ** Submission ** The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: *KR2021_authors_kit * Papers are to be submitted through the workshop's *EasyChair * submission page. We welcome the following types of contributions: - *Full papers* of up to 9 pages, including abstract, figures and appendices (if any), but excluding references and acknowledgements: Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* of up to 4 pages, excluding references and acknowledgements: Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KR 2021 * page. ** Workshop chairs ** - Sarra Ben Abb?s, Engie, France - Lynda Temal, Engie, France - Nada Mimouni, CNAM, France - Ahmed Mabrouk, Engie, France - Philippe Calvez, Engie, France ** Program Committee ** - Shridhar Devamane, Physical Design Engineer, Tecsec Technologies, Bangalore, India - Philippe Leray, Professor at University of Nantes - Stefan Fenz, key researcher at SBA Research and Senior Scientist at Vienna University of Technology - Olivier Dameron, Professor at Universit? de Rennes I, Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique - Aar?n Ayll?n Benitez, Phd in bioinformatique, ontology leader at BASF digital solutions - Fran?ois Scharffe, Researcher on Knowledge based AI, New York, United States - Maxime Lefran?ois, Associate Professor at Saint Etienne University, France - Pierre Maret, The QA Company & Saint Etienne University, France - Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico **Publication* The best papers from this workshop may be included in the supplementary proceedings of KR 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.reske at fz-juelich.de Thu Jul 22 06:13:56 2021 From: m.reske at fz-juelich.de (Martina Reske) Date: Thu, 22 Jul 2021 12:13:56 +0200 Subject: Connectionists: Job opening in Computational Neuroscience Institute in Juelich, Germany: Science communication officer with a focus on graphics Message-ID: <9fd9eb56-807a-5c85-c229-0c55fd1604fd@fz-juelich.de> The goal of the Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6), at Research Center Juelich, Germany, is to relate the structure and dynamics of the brain using mathematical models. Bottom-up modeling is accompanied by top-down approaches and theory in order to include functional constraints and to gain insights into dynamic mechanisms. In addition, activity data (dynamics) and structural data (anatomy) are used and integrated into the biophysical models. For this purpose, analysis methods adapted to the questions are developed and, if necessary, data are collected with cooperation partners. In order to be able to perform simulations of the models, a further focus is on the development of simulation technology. Furthermore, the institute hosts the Bernstein Coordination Office (BCOS), which supports the scientists of the Bernstein Network for Computational Neuroscience. We are looking to recruit a Science communication officer with a focus on graphics! Your Job: * Planning and designing of scientific graphics, illustrations, texts and audio-visual or interactive media for the visualization of scientific contents of the institute`s department as well as their integration into the international scientific community * Graphical editing from templates submitted by scientists, e.g. image, text and graphical data, transferring and converting as necessary for different user communities * Graphic realisation and preparation of scientific presentations * Coordination and assistance in the creation of posters and institute flyers * Recording, digital processing and data protection compliant storage of scientific photographs and films * Reviewing, analysing and evaluating very complex, technically difficult and thematically diverse scientific information in order to provide information appropriate to the target group * Consideration of the current data protection regulations when recording, processing, using and securing the scientific images, videos, photographs and other media data of the institute * Development of concepts for the graphical external presentation as well as their implementation for various scientific media * Placement of graphic contents of the Institute on the Institute website and in social media * Designing presentations and graphics in accordance with the corporate design guidelines of Forschungszentrum J?lich and/or the Helmholtz Association * Preparation of research results for the Institute?s website * Coordination of the work with the Graphical Services of the Research Centre * Support of internal and external scientific events * Training of scientists in the use of media Your Profile: * University degree (Master) in physics, mathematics, biology or a related subject * High proficiency in the handling of open source graphics and video software, e.g. GIMP, lnkscape, for the production of scientific graphics and illustrations * Experience in the placement of scientific content, especially graphics and images, on social media channels such as Twitter * Extensive experience in the production of photo and video material. * Solid experience with Linux, LaTeX and Python, Git and Github * Knowledge of editorial systems of websites * Very good knowledge of written and spoken English * Very structured working style to prioritize the work. Experience in project and time management are desirable * Very independent and proactive working style * Assertiveness with empathy * Very high communication skills with researchers and administrative staff Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Flexible working hours, part-time employment with 19,5 working hours per week, and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service * We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 2 years, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TV?D). * Forschungszentrum J?lich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application via our online recruiting system Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From melaahi2 at gmail.com Thu Jul 22 07:05:54 2021 From: melaahi2 at gmail.com (M Elahi) Date: Thu, 22 Jul 2021 13:05:54 +0200 Subject: Connectionists: Postdoctoral position in Recommender Systems in Norway In-Reply-To: References: Message-ID: Postdoctoral Research Fellow position in Recommender Systems at MediaFutures: Research Center for Responsible Media Technology & Innovation There is a vacancy for a postdoctoral research fellow position at MediaFutures within Recommender Systems in WP2 - User Modelling, Personalization & Engagement. The position is for a period of 3 years. We are looking for an ambitious and self-motivated colleague to join us in MediaFutures: Research Center for Responsible Media Technology & Innovation. MediaFutures is a new center for research-based innovation at the Department for information science and media studies, University of Bergen, and will be located at Media City Bergen. The center is a part of the Norwegian Research Council?s Research-based Innovation scheme. MediaFutures will in cooperation with industry partners from news media and media technology research topics like media experiences, recommender technology, content production and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible technological solutions to societal challenges like AI, fake news, echo chambers and political polarization. Read more about the center at www.mediafutures.no. Qualifications: - The applicant must hold a Norwegian PhD or an equivalent degree within Computer Science or related fields, or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded. - Strong Machine Learning and programming skills (e.g., in Python) are a must. - Experience from scientific work (e.g., previous conference and journal publications) is required. - We value candidates that can work structured and in a team. - Proficiency in both written and oral English (this is the working language of the project). - A background within recommender systems is an advantage. - Experience in grant writing and proposal authorship is an advantage. - Personal qualities will be emphasized. - Potential candidates may be invited to the departments for an interview. Deadline: *9th August 2021* Link to apply: https://www.jobbnorge.no/en/available-jobs/job/207078/postdoctoral-research-fellow-position-in-recommender-systems-at-mediafutures-research-center-for-responsible-media-technology-innovation -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Thu Jul 22 06:56:08 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Thu, 22 Jul 2021 12:56:08 +0200 Subject: Connectionists: CFP: ICCV 2021 Advances in Image Manipulation workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS AIM: 3rd Advances in Image Manipulation workshop and challenges 2021 In conjunction with ICCV 2021, October 11, Montreal, Canada (VIRTUAL) Website: https://data.vision.ee.ethz.ch/cvl/aim21/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in ICCV style. The paper format must follow the same guidelines as for all ICCV submissions. http://iccv2021.thecvf.com/node/4 The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors. Dual submission is allowed with ICCV main conference only. If a paper is submitted also to ICCV and accepted, the paper cannot be published both at the ICCV and the workshop. For the paper submissions, please go to the online submission site https://cmt3.research.microsoft.com/AIMICCV2021 Accepted and presented papers will be published after the conference in the ICCV Workshops Proceedings. The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ICCV author instruction page. Author Kit: http://iccv2021.thecvf.com/sites/default/files/2020-09/iccv2021AuthorKit.zip WORKSHOP DATES ? Submission Deadline: August 05, 2021 ? Decisions: August 12, 2021 ? Camera Ready Deadline: August 16, 2021 ORGANIZERS ? Radu Timofte (ETH Zurich, Switzerland and University of W?rzburg, Germany) ? Andrey Ignatov, Kai Zhang, Dario Fuoli, Andres Romero, Martin Danelljan (ETH Zurich, Switzerland) ? Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland) ? Ming-Hsuan Yang (University of California at Merced and Google, US ? Kyoung Mu Lee (Seoul National University, Korea) ? Eli Shechtman (Adobe Research, US) ? Ming-Yu Liu (Nvidia, US) ? Egor Ershov (IITP RAS, Russia) ? Marko Subasic (University of Zagreb, Croatia) ? Michael S. Brown (York University, Canada) SPEAKERS (TBA) SPONSORS (We are looking for sponsors! Please let us know if you are interested.) CONTACT Email: radu.timofte at vision.ee.ethz.ch Website: https://data.vision.ee.ethz.ch/cvl/aim21/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From vassilisvas at gmail.com Fri Jul 23 03:46:57 2021 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Fri, 23 Jul 2021 10:46:57 +0300 Subject: Connectionists: [jobs] Research Associate position in Robot Learning at CYENS Centre of Excellence in Cyprus Message-ID: Dear colleagues, We have an open research associate position in the area of robot learning at the CYENS Centre of Excellence in Cyprus. For more information, please check the following link: https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-associates/research-associate-position-in-robot-learning-le/ Application deadline: 31st August 2021. Regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Fri Jul 23 01:19:15 2021 From: antona at alleninstitute.org (Anton Arkhipov) Date: Fri, 23 Jul 2021 05:19:15 +0000 Subject: Connectionists: Save the date! Online workshop "Towards multipurpose neural network models II: Model testing and model fitting" Message-ID: Dear all, Please save the date! Announcing the online workshop "Towards multipurpose neural network models II: Model testing and model fitting" Dates: September 29 ? October 1, 2021 See details at this web page. Organized by Anton Arkhipov (Allen Institute, Seattle) and Gaute Einevoll (NMBU/University of Oslo) and supported by the European Institute for Theoretical Neuroscience (EITN). We have a great lineup of speakers! Keynotes by James DiCarlo (MIT), Jacob Macke (U. T?bingen), and Kanaka Rajan (Mount Sinai). Confirmed speakers: Sharon Crook (Arizona State U.) Julijana Gjorgjeva (Max Planck Institute and TUM) Peder Jedlicka (U. Giessen) Szabolcs Kali (Institute of Experimental Medicine, Budapest, Hungary) Arvind Kumar (KTH Stockholm) Stefan Mihalas (Allen Institute) Aaron Milstein (Rutgers U.) Atle Rimehaug (U. Oslo) Frances Skinner (Krembil Brain Institute, University Health Network, and U. Toronto) Carsen Stringer (Janelia) Kristin T?ndel (NMBU) And a Special Lecture by Marcus Covert (Stanford)! Registration opens on September 1, 2021. We hope to see you there. Anton Arkhipov Associate Investigator T: 206.548.8414 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 S.Qiu-1 at tudelft.nl Thu Jul 22 11:10:47 2021 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Thu, 22 Jul 2021 15:10:47 +0000 Subject: Connectionists: BHCC 2021 - Call for Contributions Message-ID: Website: https://www.bhcc-symposium.com/ Third Symposium on Biases in Human Computation and Crowdsourcing 10 - 12 November 2021, Delft, Netherlands (Online) BHCC 2021 is an event of the Academic Fringe Festival (https://www.academicfringe.org/) Organized by TU Delft and CHI Nederland --- Apologies for cross-posting --- *Overview* The goal of this symposium is to analyse both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures and methods to track bias, as well as methodologies to prevent and solve bias. We welcome the submission of research papers and abstracts which describe original work that has not been submitted or currently under review, has not been previously published nor accepted for publication elsewhere, in any other journal or conference. We welcome the submission of the following types of contributions: - Full papers should be at most 10 pages in length (including figures, tables, appendices, and references), - Short papers should be at most 5 pages in length (including figures, tables, appendices, and references), - Abstracts should contain just a title and the abstract, and should detail demos or relevant work or ideas which are under development. They can not contain references. More details: https://www.bhcc-symposium.com/submission *Important Dates* Time zone: Anywhere on Earth (AoE) - Full Papers and Short papers due: 26 August 2021 - Abstracts due: 2 September 2021 - Notifications: 22 October 2021 - Conference: 10-12 November 2021 *Submission* We implement a double-blind review process. Submissions must be anonymous and the submission must be made via EasyChair: https://easychair.org/conferences/?conf=bhcc2021 We are committed to create an equal opportunity environment, without regard to race, gender identity or expression, age, disability, or any other status. For this reason, if you feel that you are in a disadvantaged situation or you require assistance please reach out to us (bhcc2021 at easychair.org). We?ll be more than happy to help and allow everyone to submit a paper. We are keen to create a fair working environment for the crowd workers and annotators. For this reason, each submission should clearly state the policies implemented to pursue this aim; each paper should be clear about the amount of work required for an annotator to submit the task, the payment, the time spent by the annotators to finish the task, and all the relevant details aimed at making clear that workers and annotators obtained a fair compensation and treatment for their work. From borriewang at gmail.com Thu Jul 22 14:44:33 2021 From: borriewang at gmail.com (Boyu Wang) Date: Thu, 22 Jul 2021 14:44:33 -0400 Subject: Connectionists: Call for Contributions on Springer Book (FTL) Message-ID: ***Apologies for cross-postings!*** ================================================ Dear Colleagues, We are editing a Springer book entitled ?*Federated and Transfer Learning*? and inviting you to contribute a chapter. The contributed chapters can be theoretical, application-oriented, or combine theory and application in discussing challenges, emerging trends, and future directions. Please see the attached document for more details about the context and topics of this book. This Springer edited book solicits contributed chapters including but not limited to the following topics: Transfer learning (TL) and federated learning (FL), domain adaptation, zero-shot learning, one-shot learning, few-shot learning, multitask learning, meta-learning, domain confusion, self-taught learning, domain generalization, continual/lifelong learning, recent challenges in transfer learning, transfer learning for non-stationary environments, using deep learning for transfer learning, TL-based recommender systems, horizontal FL, vertical FL, transfer FL, recent trends in securing FL, personalization of FL, connection of FL to supervised learning, connection of FL to reinforcement learning, FL security for privacy-preserving, connection between FL and blockchain, multi-agent systems, deep learning frameworks for FL, and their applications. *Important Dates* Abstract submission: Sep 1, 2021 (please submit as soon as possible) Chapter submission: Nov 1, 2021 Acceptance notification: Jan 1, 2022 Camera-ready submission: Feb 1, 2022 Book publication: Mar 1, 2022 *Submission Procedure:* Prospective authors should submit a tentative title, names, affiliation of authors, and a brief abstract with keywords of their proposed contribution via EasyChair . We strongly encourage authors to submit abstracts as soon as possible before September 1, 2021. Chapter submissions can be done via EasyChair . Chapter submissions should conform to the standard guidelines of Springer?s book chapter format. Manuscripts must be prepared using Latex or Word according to Springer?s author template found here . Submitted manuscripts will be refereed by at least two expert reviewers following a single-blind review process. Accepted works will be published as part of this edited book by Springer. For any questions related to this edited book, please email the book editors listed to the left.? *Book Editors:* *Roozbeh Razavi-Far* University of Windsor, Canada Email: roozbeh at uwindsor.ca *Boyu Wang* University of Western Ontario, Canada Email: bwang at csd.uwo.ca *Matthew E. Taylor* University of Alberta, Canada Email: matthew.e.taylor at ualberta.ca *Qiang Yang* Hong Kong University of Science and Technology, Hong Kong Email: qyang at cse.ust.hk -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CFP-TFL.pdf Type: application/pdf Size: 158741 bytes Desc: not available URL: From cirstea.bogdanionut at gmail.com Thu Jul 22 17:38:55 2021 From: cirstea.bogdanionut at gmail.com (Bogdan Ionut Cirstea) Date: Thu, 22 Jul 2021 22:38:55 +0100 Subject: Connectionists: [Journals] Final CFP: Special Issue on "Theory of Mind in Humans and in Machines" Message-ID: Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK), Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK) and Dr. Christelle Langley (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-and-in-machines Papers may be submitted until the 30th of July 2021 (manuscript submission extended deadline). Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: ? Computational Theory of Mind ? Learning from Demonstrations ? Cognitive Models for Learning from Demonstration and Planning ? Neuroscience-inspired models of Theory of Mind ? Human-Robot Interaction ? Cooperative Inverse Reinforcement Learning (assistance games) ? Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, -- Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin at brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001 at cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea at brookes.ac.uk> Dr. Christelle Langley, University of Cambridge, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Thu Jul 22 21:45:53 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Fri, 23 Jul 2021 09:45:53 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Final Call for Late-Breaking Results Message-ID: <332a0ae0.5c4b.17ad10a54ef.Coremail.jiangdm@nwpu.edu.cn> Call for Late-Breaking Results *************************************** ACM ICMI 2021: Call for Late-Breaking Results https://icmi.acm.org/2021/index.php?id=cflbr 18-22 Oct 2021, Montreal, Canada *************************************** Call for Late-Breaking Results Based on the success of the LBR in the past ICMI 18-20, the ACM International Conference on Multimodal Interaction (ACM ICMI) 2021 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of the LBR venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. For online paper submissions, please click on the following link: https://new.precisionconference.com/user/login?society=sigchi Highlights Submission deadline: August 1st, 2021 Notifications: August 27th, 2021 Camera-ready deadline: September 18th, 2021 Conference Dates: October 18-22, 2021 Submission format: Anonymized, short paper (four pages not including references), following the submission guidelines Selection process: Peer-Reviewed Presentation format: Participation in the conference poster session Proceedings: Included in Adjunct Proceedings and ACM Digital Library LBR Co-chairs: Babak Taati (University of Toronto and University Health Network) and Nadia Berthouze (University College London) What are Late-Breaking Results? Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are ?significant? revisions from the original, as per the ACM and ACM SIGCHI policies. Submission Guidelines Extended Abstract: An anonymized short paper, four-page paper, not including references, in the ICMI format (http://icmi.acm.org/2021/index.php?id=authors). The paper should be submitted in PDF format and through the ICMI submission system in the "Late-Breaking Results" track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted. Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person. Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it ?fits? the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Attendence Similar rules for registration and attendance will be applied for authors of LBR papers than for regular papers. Further information will be available later on. Questions? For more information and updates on the ICMI 2021 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2021/index.php?id=cflbr For further questions, contact the LBR co-chairs (Babak Taati, Nadia Berthouze) at icmi2021-latebreaking-chairs at acm.org ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Fri Jul 23 10:49:17 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Fri, 23 Jul 2021 10:49:17 -0400 Subject: Connectionists: CfP ISWC 2021 - Call for Industry papers - 10 days left to submit Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org Call for Industry Papers ******************************************* The Industry Track at ISWC 2021 covers all aspects of innovative commercial or industrial-strength knowledge graphs and semantic technologies in order to showcase the state of adoption. Knowledge graphs and semantic technologies are being used in various industries, including automotive, manufacturing, retail, e-commerce, media, finance, telecommunications, healthcare, life sciences, energy, government, intelligence, smart cities, cultural heritage among many others. It enables applications capabilities as varied as business intelligence, analytics, search, content management, knowledge management, recommendation systems, information extraction, master data management, data integration and more. We welcome contributions about case studies of success stories, as well as discussion reports of obstacles that stand in the way of large-scale adoption of knowledge graph and semantic technologies. We also welcome experience reports in applying recent research advances to relevant industry problems. Track details: https://iswc2021.semanticweb.org/industry-track-call Track chairs: - Juan Sequeda (data.world, Austin, US) - Lorena Etcheverry (Instituto de Computaci?n, Universidad de la Rep?blica, Uruguay) ***** Important Dates ***** - Papers due: 2 August 2021 - Notifications: 1 September 2021 - Camera-ready paper due: 20 September 2021 *** All deadlines are AoE (Anywhere on Earth) *** Submission link for all papers: https://easychair.org/conferences/?conf=iswc2021 Follow ISWC on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From confaiforpeople at gmail.com Fri Jul 23 09:35:57 2021 From: confaiforpeople at gmail.com (Conf. AI for People) Date: Fri, 23 Jul 2021 15:35:57 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Papers_EAI_Conference_AI_for_P?= =?utf-8?q?eople=3A_Towards_Sustainable_AI_=28CAIP=E2=80=9921=29?= Message-ID: Dear Colleague, Below you will find the official Call for Papers of the EAI International Conference ?AI for People: Towards Sustainable AI? (CAIP?21). Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. If you wish to receive more information about CAIP?21 https://mailchi.mp/281085ba7b4b/caip21 http://aiforpeople.org/conference Follow us at: https://www.linkedin.com/company/19176054/ https://www.facebook.com/aiforpeople https://twitter.com/AIforPeople https://www.instagram.com/ai_for_people/ ------------------------------------------------ EAI International Conference ?AI for People: Towards Sustainable AI? (CAIP?21) November 20-24, 2021 Call for Full Papers https://aiforpeople.org/conference/cfp.php Please distribute (Apologies for cross-posting) If you wish to receive more information about CAIP?21 https://mailchi.mp/281085ba7b4b/caip21 ------------------------------------------------ The EAI International Conference ?AI for People: Towards Sustainable AI? was born out of the idea of shaping Artificial Intelligence technology around human and societal needs. While Artificial Intelligence (AI) can be a beneficial tool, its development and its deployment impact society and the environment in ways that need to be thoroughly addressed and confronted. This year?s edition will focus on Sustainable AI, covering different aspects of social development, environmental protection, and economic growth applied in the design and deployment of AI systems. The conference will provide its participants with opportunities to gain a better understanding of the major challenges of utilizing AI for the societal good. Additionally, it should serve as an incubator for interdisciplinary communities that share a research agenda to exchange and discuss ideas related to the design and application of Sustainable AI. Here, Sustainable AI is a movement to foster change towards greater ecological integrity and social justice in the entire life cycle of AI systems. *** Themes and Topics *** The conference will be interdisciplinary and it welcomes contributions from different disciplines, spanning from computer science, the social sciences, and the humanities. Possible topics include but are not limited to: - AI applications for the social good and towards sustainable development goals - Ethics of Artificial Intelligence - Sustainable AI for Smart Cities - Policy recommendations for Sustainable AI - Green AI for environmental protection - Accuracy and Robustness of AI systems - Bias and Fairness in AI Systems - Privacy and Accountability in AI Systems - Safety and Security in AI Systems - Explainability and Transparency in AI Systems *** Important Dates *** Submission deadline: October 1st, 2021 Notification: November 1st, 2021 Camera-ready: November 6th, 2021 Conference Days: November 20-24, 2021 *** EAI Proceedings *** All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Conference proceedings will be published in the EAI CORE Proceedings and included in the European Digital Library (EUDL) and will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP. *** Organising Committee *** The EAI International Conference on ?AI for People: Towards Sustainable AI? is organized by the nonprofit international organization ?AI for People? (aiforpeople.org). - General Chairs: Marta Ziosi (Oxford Internet Institute, University Oxford), Philipp Wicke (University College, Dublin) and Jo?o Miguel Cunha (University of Coimbra) - Publication Chair: Angelo Trotta (University of Bologna) - Program Chairs: Lea Buchhorn (Leiden University) and Vincenzo Lomonaco (University of Pisa) - Finance Chair: Aina Turillazzi (Tilburg University) - Technical Program Committee: Kevin Trebing (Plan D GmbH) and Gabriele Graffieti (University of Bologna) CAIP'21 is sponsored by EurAI. From rufin.vogels at kuleuven.be Fri Jul 23 07:38:26 2021 From: rufin.vogels at kuleuven.be (Rufin Vogels) Date: Fri, 23 Jul 2021 11:38:26 +0000 Subject: Connectionists: postdoc position Message-ID: <540f1d52557a427390c474ced3c83108@ICTS-S-EXMBX18.luna.kuleuven.be> Postdoc positions at the Dept. of Neurosciences, Biomedical Sciences, KU Leuven, Belgium. The positions are part of an ERC-Synergy grant RELEVANCE jointly awarded to profs. de Gelder (Maastricht), Giese (T?bingen), Vogels (KU Leuven) The project RELEVANCE aims to understand how the brain evolved special structures to process highly relevant social stimuli like bodies and to reveal how social vision sustains adaptive behavior. The project will develop a mechanistic and computational understanding of the visual processing of bodies and interactions through integrating advanced methods from multiple disciplines: psychophysics, Ecog and high-field functional imaging in combination with computer animation, virtual reality and neural stimulation in humans; single unit electrophysiology with causal techniques in monkeys, and development of biologically-Informed deep neural network models that unify the data. The postdoc will be integrated in the research that takes place at the Division of Neurophysiology of the Department of Neurosciences, at KU Leuven, with access to a 3T MRI scanner for large animals, set-ups for single unit recordings and neural perturbation in behaving nonhuman primates, with a state-of-the-art monkey housing facility. The primary responsibilities will be: 1) to actively participate in the experimental design of recording experiments, and acquisition and analysis of single unit data in fMRI-defined cortical patches of rhesus monkeys, 2) collaborate with the other partners of the research program and 3) writing and publishing of articles. Requirements: candidates should have a strong theoretical interest in the area of visual neuroscience and experience with scientific programming (Matlab, Python or any other language). Experience with nonhuman primates is a plus. Additional information Laboratorium voor Neuro- en Psychofysiologie, Dpt of Neurosciences, Biomedical Sciences, KU Leuven, Belgium & Leuven Brain Institute, KU Leuven, Belgium Email: Rufin.Vogels at kuleuven.be. -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Sun Jul 25 20:26:53 2021 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Mon, 26 Jul 2021 00:26:53 +0000 Subject: Connectionists: ML and Optimisation postdoc vacancies Message-ID: If you are looking for a Machine Learning / Optimisation postdoc, we have two exciting jobs for you. Please check below positions RF 4 (machine learning / optimisation) and RF 5 (uncertainty handling). You will work with a top team on a super high impact application - I can assure you our work could not be more central to current events in Australia!!! Please note, due to the urgency of the work, you must be currently located within Australia and able to commence immediately or as soon as your notice period has been served. These roles are part of a $20m Hub and more vacancies will be advertised soon. https://jobs.unimelb.edu.au/en/job/905792/research-fellows-pharma-and-food-manufacturing-x5 Please apply online ? deadline 22 August 2021. Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect ? 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin [A close up of a sign Description automatically generated] [Join R U OK?Day | R U OK?] I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. CRICOS: 00116K -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 20420 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 33349 bytes Desc: image002.png URL: From alessio.ferone at uniparthenope.it Sun Jul 25 05:07:09 2021 From: alessio.ferone at uniparthenope.it (ALESSIO FERONE) Date: Sun, 25 Jul 2021 09:07:09 +0000 Subject: Connectionists: =?utf-8?q?Subject=3A_WILF2021_=E2=80=93_Submissio?= =?utf-8?q?n_deadline_extension_to_7th_September_and_News?= Message-ID: <39D37B61-3A01-4A49-A165-DA1A5A23B43B@uniparthenope.it> ... Apologies for multiple posting ... Back together again! ------------------------------------------------------------------- Workshop WILF 2021 (13th International Workshop on Fuzzy Logic and Applications) from Dec. 20th to Dec. 22th at Vietri sul Mare (SA), Italy (IIASS) and online For full information: https://sites.google.com/view/wilf-2021/home ------------------------------------------------------------------- NEWS ? Submission deadline (extended) In response to the requests from many authors, we are pleased to announce an extension of the paper submission deadline. The new submission deadline for WILF 2021 is September 7, 2021 ? Incoming Special Issues Two Special Issues on Soft Computing and Information Sciences will be organized on the main topics of the conference. Updates coming soon on the website. Keynote speakers ? Humberto Bustince (Public University of Navarra, Spain) o Extensions of fuzzy integrals and applications to the computational brain ? Scott Dick (University of Alberta, Canada) o Fuzzy Logic and XAI: Past, Present, and Some Thoughts on the Future ? Didier Dubois (IRIT, France) o Fuzzy sets: the legacy and its future Important Dates - Paper submission (extended): September 7, 2021 - Notification of acceptance + early registration opening: October 29, 2021 - Special Issue submission opening: November 1, 2021 (tentative) - Camera-ready + early registration deadline: November 26, 2021 - EUSFLAT student grant applications: November 26, 2021 - Late registration deadline: t.b.d. - Special Issue submission deadline: January 28, 2022 - Special Issue publication: Fall 2022 Aim and Scope The 13th International Workshop on Fuzzy Logic and Applications (WILF 2021) covers all topics in theoretical, experimental and applied Fuzzy and Computational Intelligence techniques and systems. It is aimed to bring together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances in this field, and to demonstrate the state-of-the-art systems. Three types of talks The main aim of WILF 2021 is to allow scientific communication and fruitful exchange of opinions. A lightweight approach is adopted to foster participation and promote the exchange of ideas. To provide room for discussing present, past and future research topics, the following types of talks are called for: ? Regular communications - Current, unpublished work that is being presented for the first time. ? Ideas - New research directions, opinions, position talks: promising or interesting work that does not fit the standards for conventional publication. ? Research highlights - Talks summarising work that was recently (3 years) published in prominent journals, intended to increase awareness about interesting work. Publication ? Short-form papers for all presentations will be published in a volume of CEUR Workshop Proceedings in the AI*IA proceedings series (http://ceur-ws.org/aixia.html). ? Special Issues of high-rank journals will be organised as a follow-up for possible submission of full papers on the topics of the workshop. EUSFLAT Student grants EUSFLAT will provide four students with a 150? grant. Organizing Committee * Angelo Ciaramella - Universit? degli Studi di Napoli Parthenope, Italy * Corrado Mencar - Universit? degli Studi di Bari Aldo Moro, Italy * Susana Montes - Universidad de Oviedo, Spain * Stefano Rovetta - Universit? degli Studi di Genova, Italy Steering Committee * Angelo Ciaramella - University of Naples Parthenope, Italy * Antonio Di Nola - University of Salerno, Italy * Luis Magdalena - Universidad Politecnica de Madrid, Spain * Francesco Masulli - University of Genova, Italy * Gabriella Pasi - University of Milan Bicocca, Italy * Witold Pedrycz - University of Alberta, Canada Contact wilf.2021.vsm at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From marvin.borsdorf at uni-bremen.de Sun Jul 25 17:57:02 2021 From: marvin.borsdorf at uni-bremen.de (Marvin Borsdorf) Date: Sun, 25 Jul 2021 23:57:02 +0200 Subject: Connectionists: Vacancy of a Postdoctoral Researcher for the MLL Excellence Chair Message-ID: <002f01d781a0$00441010$00cc3030$@uni-bremen.de> Vacancy of a Postdoctoral Researcher for the MLL Excellence Chair The Machine Listening Lab directed by the MMM Excellence Chair Prof. Haizhou Li offers the position of a PostDoc in the area of Machine Learning and Neural Information Processing. The research is carried out at the Machine Listening Lab at the University of Bremen, in collaboration with the Cognitive Systems Lab at the University of Bremen and with the Human Language Technology Lab at the National University of Singapore. Further information can be found here: https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-va cancies-1/job/713?cHash=3f53e8bd8352eb492664f9f9f2081cfb -- Marvin Borsdorf Machine Listening Lab University of Bremen, Germany From bnuzhanglei2008 at gmail.com Mon Jul 26 11:22:31 2021 From: bnuzhanglei2008 at gmail.com (Lei Zhang) Date: Mon, 26 Jul 2021 17:22:31 +0200 Subject: Connectionists: Two 6-Year postdoc positions at SCAN-Unit, University of Vienna (PI Claus Lamm; social neuroscience) Message-ID: Dear colleagues, At the SCAN-Unit of University of Vienna (PI: Claus Lamm), we will soon have two 6-year(!) post-doc positions available. Unlike many other postdoc positions tied to a grant, these positions do not come with a fixed research program attached to them. Rather, our aim is to allow the candidates a sizeable amount of autonomy and flexibility in pursuing their own research questions and to develop their own research line, connected to the research interests and expertise of the SCAN Unit, which focuses on questions such as empathy, prosociality, trust, social decision making, and related phenomena, in both humans and non-human animals (see https://scan.psy.univie.ac.at). The idea is to hire and mentor someone who has the potential to transit to a fully independent (tenure-track/junior group leader) position within the 6-year hiring period (the positions themselves do not have a tenure/tenure-track option). We thus encourage the candidates to secure their own grants (e.g., from the Austrian Science Fund and the ERC) and to establish their own first research group, under the wings of the SCAN-Unit and the mentoring of group leader Claus Lamm. To apply, please contact Claus Lamm (claus.lamm at univie.ac.at) with a brief (format-free) statement of motivation (e.g., why you apply for this position, why you feel you?d be a suitable candidate, and what is your career development goal: max. 1 page), the research questions you would be interested in pursuing (i.e., a short research statement, describing what you would want to work on, and how you would want to do so, max. 1 page), and a C.V., including a list of publications, that summarizes a) your research achievements, b) the skills and expertise that you have acquired in your previous and ongoing training, and c) your past teaching activities (if any). Applications will be considered on an ongoing basis until suitable candidates are identified. Informal inquiries before submitting a fully-fledged application are also highly encouraged. The positions will be available from around September/October 2021 onwards, but a later starting date until roughly mid 2022 is certainly possible (and further extensions can be discussed). Please see the link below for the full job description. https://scan-psy.univie.ac.at/fileadmin/user_upload/p_bio_psy/Postdocs_SCANUnit_07-2021.pdf See also a tweet thread about this search: https://twitter.com/ScanUnit/status/1418205124850163715?s=20 Informal inquiries can be directed to Claus Lamm (claus.lamm at univie.ac.at). Best, Lei ---------- Dr. Lei Zhang Postdoc Social, Cognitive & Affective Neuroscience Unit Department of Cognition, Emotion, and Methods in Psychology Faculty of Psychology University of Vienna Liebiggasse 5, 1010 Vienna, Austria e: lei.zhang at univie.ac.at w: lei-zhang.net t: @lei_zhang_lz -------------- next part -------------- An HTML attachment was scrubbed... URL: From syousefy at gmail.com Mon Jul 26 12:22:54 2021 From: syousefy at gmail.com (Siamak Yousefi) Date: Mon, 26 Jul 2021 11:22:54 -0500 Subject: Connectionists: Postdoc position in ophthalmic data mining and machine learning Message-ID: Dear Members, A postdoc position at the Data Mining and Machine Learning (DM2L) laboratory is available immediately. We look for a highly motivated candidate with PhD in computer science, engineering, or data science and experience of conducting data mining projects. This is a 2-year appointment and available immediately, thus preference is to those already in the US. We will consider applicants who have already worked with ophthalmic data and have relevant publications or applicants who are highly experienced in developing machine learning and deep learning models and have extensive experience of Python programming. Please apply if you just fall in one of the above categories. About DM2L Since establishment in late 2017, DM2L members have published ~45 journal/conference/abstracts with ~12 articles in 2020 only. Since 2019, DM2L has received ~$1.1M funding support from NIH and Bright-Focus foundation. Lab members develop deep learning, manifold learning, conventional machine learning, unsupervised machine learning, and statistical learning to automatically diagnose and prognose glaucoma, AMD, keratoconus, keratoplasty, cataract, and uveitis. Please send your CV to siamak.yousefi at uthsc.edu if you fit this position. Lab webpage: https://syousefy.wixsite.com/yousefilab University profile: https://uthsc.edu/faculty/profile/?netid=syousef1 Researchgate: https://www.researchgate.net/profile/Siamak_Yousefi4 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Mon Jul 26 08:00:00 2021 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Mon, 26 Jul 2021 13:00:00 +0100 Subject: Connectionists: First CfP EvoStar 2022 - The Leading European Event on Bio-Inspired Computation - 20-22 April 2022 Message-ID: Dear Colleague(s), Below you will find the first call for papers for EvoStar 2022. Feel free to distribute and thank you for your time! Best regards, Jo?o Correia EvoStar Publicity Chair ------------------------------------------------ 1st Call for papers for the EvoStar 2022 conference http://www.evostar.org/2022/ Submission Deadline: November 1, 2021 Conference: 20 to 22 April 2021. Venue: *Somewhere On Earth!* All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please distribute (Apologies for cross-posting) ------------------------------------------------ ***************************************** News: - EvoApps and EuroGP special joint track on Evolutionary Machine Learning - EvoCop and EvoApps got Core Rank B. - EvoApps is open for Special Sessions with 9 already confirmed: . Applications of Bio-inspired techniques on Social Networks . Applications of Nature-inspired Computing for Sustainability and Development . Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition . Machine Learning and AI in Digital Healthcare and Personalized Medicine . Evolutionary Robotics . Parallel and Distributed Systems . Resilient Bio-Inspired Algorithms . Soft Computing applied to Games . Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications Deadline for special sessions proposals:10th of September 2021 ****************************************** EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - EuroGP 25th European Conference on Genetic Programming http://www.evostar.org/2022/eurogp/ - EvoApplications 25th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2022/evoapps/ - EvoCOP 22st European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2022/evocop/ - EvoMUSART 11th International Conference (and 16th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2022/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 1, 2021 Conference: 20 to 22 April 2022. Venue: *Somewhere on Earth!* All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please check the website for more information: http://www.evostar.org/2022/ And follow us at: Facebook - https://www.facebook.com/evostarconf/ Twitter - https://twitter.com/EvostarConf/ Instagram - https://www.instagram.com/evostarconference/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at cshl.edu Mon Jul 26 22:18:40 2021 From: navlakha at cshl.edu (Navlakha, Saket) Date: Tue, 27 Jul 2021 02:18:40 +0000 Subject: Connectionists: Biological Distributed Algorithms 2021 -- this week! Message-ID: <9834B9FB-4962-4284-A413-49391E6281C0@cshl.edu> Workshop begins Thursday at 1pm EST. Registration is free: https://www.navlakhalab.net/BDA/2021/ ======================================================= The 8th Workshop on Biological Distributed Algorithms (BDA 2021) July 29-30, 2021. Virtual event, in conjunction with PODC 2021 https://www.navlakhalab.net/BDA/2021/ ======================================================= We are excited to announce the 8th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers. Such research can lead to a better understanding of the behavior of the biological systems, while at the same time developing novel algorithms that can be used to solve basic distributed computing problems. We invite presentations related to any biological system. The workshop will be virtual, spanning the following two time slots: Thursday, Jul 29, 19:00-21:00 CEST Friday, Jul 30, 17:00-21:00 CEST ========================= INVITED SPEAKERS ========================= Dave Ackley - Univ. of New Mexico George Bassel - Univ. of Warwick Josh Bongard - Univ. of Vermont Anne Condon - Univ. of British Columbia Stephanie Forrest - Arizona State Univ. Mike Levin - Tufts Christos Papadimitriou - Columbia Dana Randall - Georgia Tech ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph - CMU Anna Dornhaus - Univ. of Arizona Yuval Emek - Technion (co-chair) Ile Fiete - MIT Amos Korman - CNRS and Univ. of Paris Diderot Nancy Lynch - MIT Frederik Mallmann-Trenn - King's College London Melanie Moses, Univ. of New Mexico Saket Navlakha - Cold Spring Harbor Laboratory (co-chair) Calvin Newport - Georgetown Merav Parter - Weizmann Institute Ted Pavlic - Arizona State Univ. Andrea Richa - Arizona State Univ. From mihai.constantin84 at upb.ro Tue Jul 27 03:44:39 2021 From: mihai.constantin84 at upb.ro (MIHAI-GABRIEL CONSTANTIN) Date: Tue, 27 Jul 2021 10:44:39 +0300 (EEST) Subject: Connectionists: CfP: Multimedia Evaluation Benchmark (MediaEval 2021): Registration Now Open Message-ID: <564644499.9931549.1627371879907.JavaMail.zimbra@upb.ro> ******************************************************* Multimedia Evaluation Benchmark (MediaEval) MediaEval 2021 Registration Now Open https://multimediaeval.github.io ******************************************************* The Multimedia Evaluation Benchmark (MediaEval) offers challenges in the form of shared tasks. The goal of MediaEval is to develop and evaluate new algorithms and technologies for multimedia retrieval, analysis and exploration. MediaEval tasks are innovative, involving multiple modalities, (e.g., images, video, music, user interaction data, sensor data, lifelogging data) and focusing on the human and social aspects of multimedia. Our larger aim is to promote reproducible research that makes multimedia a positive force for society. MediaEval 2021 Tasks: Driving Road Safety Forward: Video Data Privacy Emerging News: Detecting emerging stories from social media and news feeds Emotional Mario: A Games Analytics Challenge Emotions and Themes in Music FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task Insight for Wellbeing: Cross-Data Analytics for (transboundary) Haze Prediction Medico: Transparency in Medical Image Segmentation NewsImages: The relation between images and text in news articles Predicting Media Memorability Sports Video: Fine Grained Action Detection and Classification of Table Tennis Strokes from videos Visual Sentiment Analysis: A Natural Disaster Use-case WaterMM: Water Quality in Social Multimedia For details of the tasks and information on how to register visit: https://multimediaeval.github.io/editions/2021/ Tasks will start to release data at the end of July and continue through August. Submissions will be due in early November. The MediaEval 2021 Workshop is a hybrid workshop that will take place in Bergen, Norway 6-8 December 2021 and also provide an opportunity for online participation. For more information see https://multimediaeval.github.io or contact Martha Larson m.larson at cs.ru.nl or Steven Hicks [ mailto:steven at simula.no | steven at simula.no ] On behalf on the MediaEval organization team, Gabi Constantin Researcher at: Personal page: http://gconstantin.aimultimedialab.ro/ AI Multimedia Lab: https://www.aimultimedialab.ro/ CAMPUS Research Center: http://www.campus.pub.ro/ University Politehnica of Bucharest https://upb.ro/en/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Tue Jul 27 05:24:16 2021 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Tue, 27 Jul 2021 11:24:16 +0200 Subject: Connectionists: Final DrugProt CFP: Drug-Interactions & Large Scale Text Mining sub-tracks (BioCreative VII) Message-ID: *DrugProt Shared Task (BioCreative VII track 1- 2021) * *Text mining drug-protein/gene interactions (DrugProt) & Large-scale Text Mining track* https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/ BioCreative efforts have provided highly relevant resources for advancing biomedical text mining research, including datasets and system evaluations (e.g. BioBERT benchmark datasets, ChemProt corpus, CHEMDNER corpus, etc.). We are organizing the DrugProt track focusing on the (1) automatic extraction of relations between drugs/chemicals and genes/proteins of interest for drug discovery and biomedicine and (2) large-scale text mining. It is getting increasingly challenging to efficiently exploit drug-related information described in the growing amount of scientific literature. There are a range of different types of drug-gene/protein interactions, and their systematic extraction and characterization is essential to analyze, predict and explore key biomedical properties underlying high impact biomedical applications. We foresee that the DrugProt track will promote the development NLP techniques to extract critical health information, generating results useful for: - Drug discovery, drug repurposing & drug design - Drug-induced adverse reactions, off target interactions - Molecular medicine, systems biology and bioinformatics - Biomedical knowledge graph mining Therefore the DrugProt organizers have released a large training corpus of manually annotated entity mentions for drugs/chemicals as well as genes/proteins together with their interactions (13 different types of interactions). DrugProt teams participating will be provided with the following corpus: - PubMed abstracts (3500 training, 750 development, 750 test) - Manually annotated Gold Standard chemical compound mentions (> 65000) - Manually annotated Gold Standard gene/protein mentions (> 60000) - Manually annotated Gold Standard drug/chemical-protein/gene interactions (> 24000) In addition to the main DrugProt task we also have included an additional sub-track on *Large Scale Biomedical Text mining*, asking teams to automatically detect interactions from a collection of over *2,3 million* records with almost *54 million* entity annotations. *Key information:* *DrugProt web:* https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/ *DrugProt Corpus: *https://zenodo.org/record/5119892#.YP_ObO3tZpk *Large-Scale Corpus: *https://zenodo.org/record/5119879#.YP_Ovu3tZpl *Registration:* https://docs.google.com/forms/d/e/1FAIpQLScdMnKFMncL8qDkcRx6aV6lYRm8PbufPs1rIAODwxCcPoLkcg/viewform Evaluation will be done using micro-averaged f-measure by comparing the automatically extracted relations against previously manually labelled Gold Standard relations. *Important dates* ? Test set release- July 19th 2021 ? Large scale Text Mining sub-track set release- July 19th 2021 DrugProt Test set prediction submission due: September 15th 2021 Large scale Text Mining subtrack submission due: September 20th 2021 Short technical systems description paper due: October 1st 2021 Revised paper submission due: October 17th 2021 BioCreative VII Workshop (virtual): November 8th-10th, 2021 *BioCreative VII workshop proceedings and Journal Special Issue* Participating teams will be invited to contribute to the: Proceedings of the Seventh BioCreative Challenge Evaluation Workshop. Proceedings papers are free of charge. A selected number of top performing teams will also be invited to contribute with a longer system description paper to a special issue on BioCreative VII to be published in the journal Database. *Task organizers: * Martin Krallinger, Barcelona Supercomputing Center, Spain Antonio Miranda, Barcelona Supercomputing Center, Spain Farrokh Mehryary, University of Turku, Finland Jouni Luoma, University of Turku, Finland Sampo Pyysalo, University of Turku, Finland Alfonso Valencia, Barcelona Supercomputing Center, Spain *References* [1] Krallinger, Martin, et al. "Overview of the protein-protein interaction annotation extraction task of BioCreative II." Genome biology 9.2 (2008): 1-19. [2] Krallinger, Martin, et al. "CHEMDNER: The drugs and chemical names extraction challenge." Journal of cheminformatics 7.1 (2015): 1-11. [3] Krallinger, Martin, et al. "Overview of the BioCreative VI chemical-protein interaction Track." Proceedings of the sixth BioCreative challenge evaluation workshop. 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URL: From antonino.staiano at uniparthenope.it Tue Jul 27 07:02:26 2021 From: antonino.staiano at uniparthenope.it (ANTONINO STAIANO) Date: Tue, 27 Jul 2021 11:02:26 +0000 Subject: Connectionists: Call for Abstract for ICEI 2020+ Special Session on "Machine and Deep Learning in Environmental Monitoring and Protection" Message-ID: Machine and Deep Learning in Environmental Monitoring and Protection at ICEI 2020+ November 9-13, 2021 (fully on-line) ---===== Apologies for multiple posting =====--- Please distribute this call to interested parties __________________________________________________________________ Machine and Deep Learning in Environmental Monitoring and Protection Special Session @ 11th International Conference on Ecological Informatics (ICEI 2020+) >>> https://www.iiitmk.ac.in/icei2020/special-sessions/<<< __________________________________________________________________ Submissions are now open - Abstract submission deadline: August 25th === Aim & Scope === To preserve our environment, several monitoring actions need to be considered in order to implement all policies and decisions to prevent and/or address any deterioration of natural habitat. In recent years, Machine and Deep Learning (ML&DL) technologies have shown to be effective in a wide spectrum of environmental monitoring techniques for handling water, noise, air, and waste issues. This session welcomes papers on all aspects of environmental monitoring and protection by means of novel and state-of-the-art ML&DL techniques in order to undertake environmental assessment work, interpret the results, and suggest appropriate corrective measures for sustainable development. Session chairs: Antonino Staiano (Universit? di Napoli Parthenope, Italy) Ioannis N. Athanasiadisenope (Wageningen University and Research, Netherlands) Selected papers will be considered for inclusion in a special issue of Ecological Informatics (Elsevier). Submission guidelines: https://www.iiitmk.ac.in/icei2020/call-for-abstract/ _________________________________________________________ Contacts: antonino.staiano at uniparthenope.it ICEI2020+: https://www.iiitmk.ac.in/icei2020/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.martino at istc.cnr.it Tue Jul 27 09:56:10 2021 From: alessio.martino at istc.cnr.it (Alessio Martino) Date: Tue, 27 Jul 2021 15:56:10 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Papers_Special_issue_on_Comple?= =?utf-8?q?x_Systems_Modelling_via_Hypergraphs=C2=A0=5BEntropy=2C_MDPI=5D?= Message-ID: <43780D85-5060-44E3-BD6F-C4D3E2426EBE@istc.cnr.it> Fellow colleagues, I am contacting you in my capacity as Guest Editor for a Special Issue titled: "Advances in Complex Systems Modelling via Hypergraphs" to appear in ?Entropy? MDPI journal: https://www.mdpi.com/journal/entropy/special_issues/Hypergraphs With this call for papers, I invite you and/or your co-authors to submit an original research paper, or a focused review, for our special issue. Deadline for manuscript submissions is 31 October 2021. Submitted papers will be peer reviewed and, upon acceptance, the paper will be published in open access form soon after professional editing. Thank you in advance for your consideration and I sincerely hope that you will accept this invitation to contribute to this Special Issue. If you believe that you will be able to submit a manuscript, I would also greatly appreciate if you could respond to this invitation at your earliest convenience. ?Entropy? (IF 2.524, ISSN 1099-4300) is an Open Access journal of entropy and information studies published monthly online by MDPI and indexed by the Science Citation Index Expanded (Web of Science), MathSciNet (AMS), Scopus and other databases. Best Regards ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy Phone: (+39)0644362370-5 E-mail: alessio.martino at istc.cnr.it Web: www.istc.cnr.it/en -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Tue Jul 27 10:33:00 2021 From: evomusart at gmail.com (Tiago Martins) Date: Tue, 27 Jul 2021 15:33:00 +0100 Subject: Connectionists: Call for Papers - EvoMUSART 2022 - 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (20-22 April 2022) Message-ID: ------------------------------------------------ Call for papers for the 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 20-22 April 2022, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2022/evomusart/ Submission deadline: 1 November 2021 Conference: 20-22 April 2022 EvoMUSART is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in creative and artist fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymised for a double-blind review process. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic objects; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART can be found at: www.evostar.org/2022/evomusart/ Papers published in EvoMUSART can be found at: https://evomusart-index.dei.uc.pt We look forward to seeing you in EvoMUSART 2022! The EvoMUSART 2022 organisers Tiago Martins Nereida Rodr?guez-Fernandez S?rgio Rebelo (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.van.erp at dh.huc.knaw.nl Tue Jul 27 11:52:51 2021 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Tue, 27 Jul 2021 17:52:51 +0200 Subject: Connectionists: CfP K-CAP 2021 - Deadline 15 September 2021 Message-ID: *apologies for cross-posting* K-CAP 2021 The Eleventh International Conference on Knowledge December 2 - 3, 2021 A virtual conference https://www.k-cap.org/2021/ *Call for Papers* The massive quantity and increasing availability of information on the Web have catalyzed research in a wide range of fields. Today's data-driven world, however, needs more than an abundance of information, and there is a broadening focus on information quality and accuracy. Given the increasing demand for higher quality, accurate information that can be effectively and unambiguously used, the study of precise and scalable knowledge capture is of crucial importance. Knowledge capture involves the extraction of useful knowledge from multiple, potentially heterogeneous sources, as well as its acquisition directly from human experts. The International Conference on Knowledge Capture, K-CAP, is a forum that brings together members of disparate research communities who are interested in efficiently and precisely capturing knowledge from a variety of heterogeneous sources, and in creating representations that can be useful for automated reasoning, analysis, and other forms of machine processing, as well as to support users in knowledge-intensive collaborative tasks. To discuss and advance the goals of scalable and precise knowledge capture, K-CAP 2021 aims to attract researchers from diverse areas of artificial intelligence, including knowledge representation and reasoning, knowledge acquisition, semantic web, intelligent user interfaces for knowledge acquisition and retrieval, query processing and question answering over heterogeneous knowledge bases, novel evaluation paradigms, problem-solving and reasoning, agents, information extraction from structured or unstructured data, machine learning and representation learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data. *Topics of interest* - Knowledge acquisition - Knowledge authoring - Knowledge extraction - Knowledge management - Knowledge publication - Knowledge capture from multimodal data, e.g., text, audio, visual - Knowledge capture for the Semantic Web and the Web of Linked Data - Knowledge capture and enrichment in specific domains such as earth and life sciences - Knowledge capture and Interoperability with existing Knowledge Graphs (e.g., Wikidata, DBpedia) - Entity linking and resolution using target Knowledge (e.g. Wikidata, DBpedia) - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing for knowledge capture and refinement - Handling bias in knowledge capture - Knowledge capture from social environments and contexts - Problem-solving knowledge and methods - Knowledge-based markup techniques - Modeling methodologies for ontologies and knowledge graphs - Narrative intelligence - Knowledge capture through storytelling - Provenance and trust issues in knowledge intensive systems - Services and applications that enable or utilize data capture techniques - Semantic search and query enrichment - Knowledge engineering and knowledge governance - Ontology design patterns - Similarity measurement and analogy-based reasoning - Extracting knowledge graphs from unstructured/semi-structured and multimedia data - Summarization techniques for knowledge graphs - Visualization of knowledge graphs and visual query interfaces - Services and API for knowledge graphs - Addressing scalability issues for distributed knowledge graphs - Automated construction, enrichment and cleaning of knowledge graphs and alignment to existing graphs - Hybrid approaches for knowledge capture combining knowledge engineering and machine learning - Data dynamicity, heterogeneity, and decay in knowledge intensive systems *Submissions* The eleventh International Conference on Knowledge Capture, K-CAP 2021, features a full papers track for research papers, as well as tracks for short papers, for visionary ideas, and for demos. - Full papers, which describe original research, can be up to 8 pages long including references. Full papers will appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Short papers, which may describe (possibly preliminary or open-ended) research, applications (academic, industrial or otherwise), and late breaking results, can be up to 4 pages long, including references. Short papers will also appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Visionary papers, which describe outrageous ideas or potentially preliminary, but highly innovative research, can be up to 2 pages long, including references. Visionary papers will be presented as short talks in the conference program; - Demo papers, which exemplify applications or illustrate work presented in other submissions, can be up to 4 pages long, including references. Demos will be presented as short talks in the conference program. Authors of all paper types will present their work in plenary sessions during the conference. Presentation timing for the different types of papers will be announced once the program is crafted. K-CAP is not a double-blind conference, hence authors should list their names and affiliations on the submission. Please use the ACM 2 column SIG Conference Proceedings template for your submission. Submissions in HTML format are welcome, so long as authors of HTML submissions also provide a conversion of their submission to a PDF file that adheres to the required ACM template for proceedings. Papers submitted to the main conference track should not have been published before in an archival venue, or currently be under review in an archival venue. Authors are welcome to submit papers that have been published as a preprint on arXiv, or in a non-archival venue like a workshop. All submissions to K-CAP should be made through EasyChair: https://easychair.org/conferences/?conf=kcap21 This year we will embrace the FAIR principles by collecting structured metadata of the datasets, software, ontologies and methods generated by K-CAP submissions. Authors will be encouraged to add these resources in the EasyChair submission form (together with a brief description). Accepted papers with resources will be highlighted in the main K-CAP conference page. *Important Dates* - Paper submission: September 15, 2021 - Author notification: October 13, 2021 - Camera ready version due: October 25, 2021 - Conference dates: December 2-3, 2021 All deadlines are midnight AoE (Anywhere on Earth). -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.martino at istc.cnr.it Tue Jul 27 09:57:02 2021 From: alessio.martino at istc.cnr.it (Alessio Martino) Date: Tue, 27 Jul 2021 15:57:02 +0200 Subject: Connectionists: Call for Papers Special Issue on Machine Learning for Complex Systems Modelling and Control [Mathematical Biosciences and Engineering, AIMS] Message-ID: Dear Colleagues, I am contacting you in my capacity as Guest Editor for a Special Issue titled: "Machine Learning for Complex Systems Modelling and Control" to appear in ?Mathematical Biosciences and Engineering? journal (AIMS Press): http://www.aimspress.com/mbe/article/5971/special-articles I hereby invite you and your co-authors to submit an original research paper, or a focused review, for our special issue. Deadline for manuscript submissions is 31 October 2021. Submitted papers will be peer reviewed and, upon acceptance, the paper will be published in open access form soon after professional editing. Thank you in advance for your consideration and I sincerely hope that you will accept this invitation to contribute to this Special Issue. If you believe that you will be able to submit a manuscript, I would also greatly appreciate if you could respond to this invitation at your earliest convenience. ?Mathematical Biosciences and Engineering? (ISSN 1551-0018) is an EI, Scopus, WoS, PubMed indexed, interdisciplinary open access journal focuses on new developments in the fast-growing fields of mathematical biosciences and bioengineering. Areas covered include general mathematics, biology, and engineering with an emphasis on cutting-edge integrative and interdisciplinary research bridging mathematics, biology and engineering. Best Regards ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy Phone: (+39)0644362370-5 E-mail: alessio.martino at istc.cnr.it Web: www.istc.cnr.it/en ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy Phone: (+39)0644362370-5 E-mail: alessio.martino at istc.cnr.it Web: www.istc.cnr.it/en -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Jul 28 02:43:32 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 28 Jul 2021 09:43:32 +0300 Subject: Connectionists: Invitation for the 2021 Summer e-School on Deep Learning and Computer Vision, 23-27th August 2021, Aristotle University of Thessaloniki, Thessaloniki, Greece References: <017501d767f9$7fe6aaa0$7fb3ffe0$@csd.auth.gr> <002d01d767fc$50106430$f0312c90$@csd.auth.gr> Message-ID: <014e01d7837b$e27a2230$a76e6690$@csd.auth.gr> Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2021 Summer e-School on Deep Learning and Computer Vision: http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/ It will take place on 23-27/08/2021 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021, having focus on autonomous drones, cars and marine vessels: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ b) 'Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021, with applications in digital media and autonomous drones: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni < koroniioanna at csd.auth.gr> The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/ 2. AIIA Lab: http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el Course descriptions a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021. http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B (8 hours) Deep learning topic list 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep object detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software development tools b) ''Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021. http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ Part A (8 hours), Deep learning and GPU programming sample topic list 1. Introduction to autonomous systems 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multi-core CPU architectures - GPU programming 4. Image classification with CNNs. 5. CUDA programming Part B (8 hours), Deep Learning for Computer Vision sample topic list 1. Deep learning for object/face detection 2. 2D object tracking 3. PyTorch: Understand the core functionalities of an object detector. Training and deployment. 4. OpenCV programming for object tracking Part C (8 hours), Autonomous UAV cinematography sample topic list 1. Video summarization 2. UAV cinematography 3. Video summarization with Pytorch 4. Drone cinematography with Airsim Sincerely yours Prof. I. Pitas -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Thu Jul 29 13:24:53 2021 From: massimo.srt at gmail.com (Massimo Sartori) Date: Thu, 29 Jul 2021 19:24:53 +0200 Subject: Connectionists: [jobs] Two postdoc openings: modelling and control of bio-protective robots for injury prevention and movement rehabilitation across large temporal scales (University of Twente) Message-ID: Do you want to develop wearable technologies for preventing musculoskeletal injuries in occupational settings, e.g., factory workers performing manual tasks? Do you want to understand how skeletal muscles change their biological structure in response to mechanical stimuli and how rehabilitation robots (e.g., exoskeletons, robotic dynamometers) can steer such structural changes over time? The Neuro-Mechanical Modeling and Engineering Lab (Department of Biomechanical Engineering, University of Twente) is seeking for two outstanding postdoctoral fellows to work on two large-scale European projects respectively: - H2020 ERC project INTERACT: https://cordis.europa.eu/project/id/803035 - H2020 RIA project SOPHIA: https://project-sophia.eu *Please, apply via the links below:* - *Postdoc opening 1 (INTERACT project): Modeling skeletal muscle adaptation for the control of rehabilitation robots across large temporal scales: Apply here: https://www.utwente.nl/en/organisation/careers/!/128/ by September 13, 2021. * - *Postdoc opening 2 (SOPHIA project): Computational models of musculoskeletal injury prediction and control of bio-protective exosuits: Apply here: https://www.utwente.nl/en/organisation/careers/!/127/ by August 31, 2021. * We offer high-reaching positions with a generous allowance as well as extraordinary research facilities and working environment. Your work will be facilitated by in-house expertise and mentorship. You will collaborate with top-scientists on aspects including exoskeleton control, skeletal muscle modelling, statistical modelling, giving large opportunity of growth and to perform impactful research! *The INTERACT Project *aims to develop predictive models of the neuromuscular system to establish new closed-loop control methods for robotics-based neuro-rehabilitation. With a focus on spinal cord electrical stimulation and robotic exoskeleton, we will demonstrate how motor dysfunction is repaired by inducing optimal changes in neuromuscular targets. - Project Page: https://cordis.europa.eu/project/id/803035 *The SOPHIA Project *seeks to realize adaptable and safe human-robot collaborative environments. Through well-tested sensing methods, modeling, and control algorithms, SOPHIA will see humans and robots working together in factory production settings. In this way, SOPHIA will remove the separation between man and machine to improve factory output. SOPHIA consortium encompasses a large international consortium of academic and industrial partners. - Project Page: https://project-sophia.eu *The Neuro-Mechanical Modelling & Engineering Lab. *We interface robotic technologies with the neuromuscular system to improve movement. We apply modelling and signal processing, in a translational way, to develop novel real-time bio-inspired assistive technologies. Our goal is to establish a roadmap for discovering fundamental principles of movement at the interface between humans and wearable robots ultimately for improving human health. Check out our pages: - Lab: https://bit.ly/NMLab - YouTube: https://bit.ly/NMLTube *The University of Twente*. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. We have a strong focus on personal development and talented researchers are given scope for carrying out groundbreaking research (https://www.utwente.nl/en/). --- Massimo Sartori, Ph.D. Associate Professor Director, Neuromechanical Modeling & Engineering Lab University of Twente TechMed Centre Department of Biomechanical Engineering 7500 AE, The Netherlands Personal Website: https://people.utwente.nl/m.sartori Lab Website: https://bit.ly/NMLab Lab YouTube Channel: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Fri Jul 30 06:29:59 2021 From: mm at di.ku.dk (Maria Maistro) Date: Fri, 30 Jul 2021 10:29:59 +0000 Subject: Connectionists: CFP: Malawi Python Week of Code Message-ID: <6FE95F51-655C-4F9A-A2E1-C4F1BA5C47E3@ku.dk> **** Call for Participation - Malawi Python Week of Code **** Important Dates ? * Registration Opens: July 29, 2021 * Registration Closes: September 1, 2021 * Python Week of Code: October 18-22 2021 * Malawi Data Science Bootcamp: October 25-29 2021 Registration ?? The event registration is done separately and you may attend either or both weeks. * Week 1: Python Week of Code * Week 2: Data Science Bootcamp Overview ? We invite students, scholars and professionals to participate in the First Malawi Python Week of Code 2021, hosted at Mzuzu University, Malawi. The mission of the event is to provide a stimulating and safe environment, where a new community is created through new collaborations between participants and facilitators. The week of code aims at attracting and sustaining participants of diverse backgrounds in the field of data science and to support participants in their career. The target audience is (not in order of priority): a) students in Computer Science, ICT, and related fields, from the bachelor, master and PhD and Ph.D. programmes from Malawi and the SADC region b) professionals using python and c) researchers and lecturers who wish to learn about python. The event will offer lectures and labs on data science: the Python week will provide the students with the basic prerequisites on Python programming and the usage of libraries to process, visualize and analyse data; the data science week will focus on the fundamentals of machine learning and neural networks. We invite lecturers from universities in Malawi and neighbouring countries. Program Week 1: Python Week of Code ? The first module in the event can be attended regardless of participation in Week 2. The Python Week of Code will be full days of tutorials, exercises and talks. The purpose of the event is to provide participants with basic Python knowledge with a special focus on Data Science. This is both a great way to be introduced to Python and Data Science in general and an opportunity to prepare if you have been accepted for Week 2?s Data Science Bootcamp (but that?s NOT a requirement). The Python Week of Code is co-hosted by Python Namibia and supported by Django Denmark. The program is yet to be announced. Program Week 2: Data Science Bootcamp ? The activity is a 5-day event. Each day targets 2 lectures and 2 lab sessions. Participants will therefore both learn theoretical and practical lessons. Day 1: Introduction to data science, data, data manipulation and visualization Day 2+3: Statistical and Machine Learning for Data science Day 4: Big Data Analytics Day 5: Responsible Data Science and Applications Participation is rewarded with a certificate of participation. An option for academic credits for Week 2 will be announced here. Location ? The event is held at Mzuzu University?s facilities in Lilongwe, Malawi?s capital city. Both weeks of the event are hosted by Mzuzu University (MZUNI), the second national university in Malawi by enactment, with a student population of almost 10,000 and a faculty size of 500 academics, both projected to double by 2030. ICT and Mathematical Sciences are among the key areas of MZUNI?s academic agenda. Data Science and Health Informatics are among the latest programmes to be added to MZUNI?s offers. Organization * Reuben Moyo, Mzuzu University, Malawi * Stanley Ndebvu, Mzuzu University, Malawi * Michael Zimba, Mzuzu University, Malawi * Jessica Upani, PyNam, Namibia * Maria Maistro, University of Copenhagen, Denmark * Benjamin Balder Bach, FAIR Danmark, Denmark * Martin Dybdal, University of Copenhagen, Denmark Contact info at mwdata.science www.mwdata.science ??? Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Sat Jul 31 02:28:33 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Sat, 31 Jul 2021 14:28:33 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Workshop Participation Message-ID: <52f84bb1.a2e8.17afb3fffcd.Coremail.jiangdm@nwpu.edu.cn> *************************************** ACM ICMI 2021: Call for Workshop Participation http://icmi.acm.org/2021/index.php?id=workshops 18-22 Oct 2021, Montreal, Canada *************************************** ACM ICMI has developed a tradition of hosting workshops in conjunction with the main conference to foster discourse on new research, technologies, social science models and applications. We are pleased to announce the workshops to be held during the 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021): - The Second International Workshop on Automated Assessment of Pain (AAP) - 2nd Workshop on Social Affective Multimodal Interaction for Health (SAMIH) - Insights on Group & Team Dynamics - CATS2021: International Workshop on Corpora and Tools for Social Skills Annotation - Workshop on modelling socio-emotional and cognitive processes from multimodal data in the wild - 2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour - Workshop on Affective Social Multimedia Computing - Workshop on Multimodal Affect and Aesthetic Experience - Empowering Interactive Robots by Learning Through Multimodal Feedback Channels - GENEA Workshop 2021: Generation and Evaluation of Non-verbal Behaviour for Embodied Agents - Socially-Informed AI for Healthcare ? Understanding and Generating Multimodal Nonverbal Cues We are now pleased to invite submission to these workshops. Details of the workshops and links to the workshop websites can be found at http://icmi.acm.org/2021/index.php?id=workshops ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Thu Jul 29 07:16:23 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Thu, 29 Jul 2021 13:16:23 +0200 Subject: Connectionists: CFP: ICCV 2021 Advances in Image Manipulation workshop [DEADLINE Aug. 05] Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS AIM: 3rd Advances in Image Manipulation workshop 2021 In conjunction with ICCV 2021, October 11, Montreal, Canada (VIRTUAL) Website: https://data.vision.ee.ethz.ch/cvl/aim21/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in ICCV style. The paper format must follow the same guidelines as for all ICCV submissions. http://iccv2021.thecvf.com/node/4 The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors. Dual submission is allowed with ICCV main conference only. If a paper is submitted also to ICCV and accepted, the paper cannot be published both at the ICCV and the workshop. For the paper submissions, please go to the online submission site https://cmt3.research.microsoft.com/AIMICCV2021 Accepted and presented papers will be published after the conference in the ICCV Workshops Proceedings. The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ICCV author instruction page. Author Kit: http://iccv2021.thecvf.com/sites/default/files/2020-09/iccv2021AuthorKit.zip WORKSHOP DATES ? Submission Deadline: August 05, 2021 ? Decisions: August 12, 2021 ? Camera Ready Deadline: August 16, 2021 ORGANIZERS ? Radu Timofte (ETH Zurich, Switzerland and University of W?rzburg, Germany) ? Andrey Ignatov, Kai Zhang, Dario Fuoli, Andres Romero, Martin Danelljan (ETH Zurich, Switzerland) ? Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland) ? Ming-Hsuan Yang (University of California at Merced and Google, US ? Kyoung Mu Lee (Seoul National University, Korea) ? Eli Shechtman (Adobe Research, US) ? Ming-Yu Liu (Nvidia, US) ? Egor Ershov (IITP RAS, Russia) ? Marko Subasic (University of Zagreb, Croatia) ? Michael S. Brown (York University, Canada) SPEAKERS (TBA) SPONSORS (We are looking for sponsors! Please let us know if you are interested.) CONTACT Email: radu.timofte at vision.ee.ethz.ch Website: https://data.vision.ee.ethz.ch/cvl/aim21/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From guru094 at gmail.com Fri Jul 30 03:57:12 2021 From: guru094 at gmail.com (Gurkirt Singh) Date: Fri, 30 Jul 2021 09:57:12 +0200 Subject: Connectionists: [CFP] ROAD @ ICCV 2021: Final Call for Papers (August 5) Message-ID: ROAD @ ICCV 2021: Final Call for Papers The deadline for submitting papers to the ICCV 2021 workshop "The ROAD challenge: Event detection for situation awareness in autonomous driving", has been extended to ***August 5 2021*** https://lnkd.in/gsBU5wU Decisions will be made public on August 12. Camera-ready will need to be submitted by August 17 to fit the ICCV 2021 publication timeline. The deadline for submitting entries to the Challenge has also been extended to ***September 30 2021*** https://sites.google.com/view/roadchallangeiccv2021/challenge The goal of this Workshop/Challenge is to put to the forefront of the research in autonomous driving "situation awareness", intended as the ability to create semantically useful representations of dynamic road scenes in terms of the notion of 'road event', leveraging our recently released ROad event Awareness Dataset for autonomous driving (ROAD): https://lnkd.in/gjr9M5Z The Challenge proposes three video-level detection tasks: (1) agent detection, (2) action detection and (3) road event detection, intended as a triplet (agent, action, location). All tasks consist in regressing 'tubes' of temporally linked bounding boxes and the associated label(s). Researchers active in object detection or action detection are especially encouraged to participate! The dataset is composed by 22 long duration (8-minute-long) videos in diverse weather conditions, making the above detection tasks extremely challenging. As for the papers, we invite contributions on the following topics: Detecting and modelling 'atomic' events. Detecting and modelling complex activities. Predicting agent intentions. Dynamic scene understanding from streaming videos. Predicting the trajectory of pedestrians, vehicles and other road users. Forecasting future road events (both atomic and complex). Decision making, both via reinforcement/imitation learning and via intermediate representations, and a critical/empirical comparison between the two approaches. Explicability of both perception and decision making components of autonomous driving. Modelling road scenarios in a multi-agent framework. Modelling the reasoning processes of road agents in terms of goals or mental states. Machine theory of mind for autonomous vehicles. The role of incremental, life-long and continual learning in autonomous driving, with a focus on situation awareness. The use of realistic simulations to generate training data for semantic scene understanding. Testing and certification of AI algorithms for autonomous driving. The ethical implications of situation awareness and automated decision making. Papers will be published as posters in two sessions. The winners of a Best Paper and a Best Student Paper award will instead give an oral presentation, as will the authors of the top entry in each Challenge task. Papers must follow the ICCV 2021 template and be submitted via CMT: https://lnkd.in/gweCKpU The Workshop will allow for the submission of papers concurrently submitted elsewhere to aggregate all relevant efforts in this area. We have secured an array of prestigious Invited Speakers: Raquel Urtasun (Toronto) Adrien Gaidon (TRI) Daniela Rus (MIT) Deva Ramanan (CMU) Paul Newman (Oxford University) The workshop will also host a panel discussion on the future and ethical implications of autonomous driving. Organisers Fabio Cuzzolin, Andrew Bradley (Oxford Brookes University) Gurkirt singh (ETH) Reza Javanmard Alitappeh (Mazandaran University) Stanislao Grazioso, Giuseppe Di Gironimo, Valentina Fontana (Federico II University, Naples) Valentina Mu?at (Oxford University) ReplyForward -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Fri Jul 30 11:10:16 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Fri, 30 Jul 2021 11:10:16 -0400 Subject: Connectionists: CfP ISWC 2021 - Call for Industry papers - 4 days left to submit In-Reply-To: References: Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org Call for Industry Papers ******************************************* The Industry Track at ISWC 2021 covers all aspects of innovative commercial or industrial-strength knowledge graphs and semantic technologies in order to showcase the state of adoption. Knowledge graphs and semantic technologies are being used in various industries, including automotive, manufacturing, retail, e-commerce, media, finance, telecommunications, healthcare, life sciences, energy, government, intelligence, smart cities, cultural heritage among many others. It enables applications capabilities as varied as business intelligence, analytics, search, content management, knowledge management, recommendation systems, information extraction, master data management, data integration and more. We welcome contributions about case studies of success stories, as well as discussion reports of obstacles that stand in the way of large-scale adoption of knowledge graph and semantic technologies. We also welcome experience reports in applying recent research advances to relevant industry problems. Track details: https://iswc2021.semanticweb.org/industry-track-call Track chairs: - Juan Sequeda (data.world, Austin, US) - Lorena Etcheverry (Instituto de Computaci?n, Universidad de la Rep?blica, Uruguay) ***** Important Dates ***** - Papers due: 2 August 2021 - Notifications: 1 September 2021 - Camera-ready paper due: 20 September 2021 *** All deadlines are AoE (Anywhere on Earth) *** Submission link for all papers: https://easychair.org/conferences/?conf=iswc2021 Follow ISWC on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Fri Jul 30 08:53:15 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Fri, 30 Jul 2021 05:53:15 -0700 (PDT) Subject: Connectionists: [CFP] DEADLINE EXTENSION for 1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence @ KR-2021 In-Reply-To: References: Message-ID: <5a68f4c1-7e59-41ae-a6c9-536ac6d73071n@aixia.it> > Dear colleagues and researchers, > > Please consider submitting a paper for the 1st International workshop on > "Ontology Uses and Contribution to Artificial Intelligence" which will be > held online or in Hanoi, Vietnam - November 6-12, 2021. > > > * **** OnUCAI - CALL FOR PAPERS **** * > > * Ontology Uses and Contribution to Artificial > Intelligence* > > * 1st International Workshop, in conjunction > with *KR 2021 > > * November 6-12, 2021 - Online or in Hanoi, > Vietnam* > > https://sites.google.com/view/onucai-kr2021 > > > ** Important dates ** > > - *Workshop paper submission due: **July 19, 2021 **September 06, 2021* > - *Workshop paper notifications: *September 30, 2021 > - *Workshop paper camera-ready versions due: *October 12, 2021 > - *Workshop registration deadline: *TBA > - *Workshop: *November 06-12, 2021 > > All deadlines are 23:59 anywhere on earth (UTC-12) > > > ** Workshop description ** > > An ontology is well known to be the best way to represent knowledge in a > domain of interest. It is defined by Gruber as ?an explicit specification > of a conceptualization?. It allows us to represent explicitly and formally > existing entities, their relationships and their constraints in an > application domain. This representation is the most suitable and beneficial > way to solve many challenging problems related to the information domain > (e.g., knowledge representation, knowledge sharing, knowledge reusing, > automated reasoning, knowledge capitalizing and ensuring semantic > interoperability among heterogeneous systems). Using ontology has many > advantages, among them we can cite ontology reusing, reasoning and > explanation, commitment and agreement on a domain of discourse, ontology > evolution and mapping, etc. As a field of artificial intelligence (AI), > ontology aims at representing knowledge based on declarative and symbolic > formalization. Combining this symbolic field with computational fields of > IA such as Machine Learning (ML), Deep Learning (DL), Probabilistic > Graphical Models (PGMs), Computer Vision (CV) and Natural Languages > Processing (NLP) is a promising association. Indeed, ontological modeling > plays a vital role to help AI reducing the complexity of the studied domain > and organizing information inside it. It broadens AI?s scope allowing it to > include any data type as it supports unstructured, semi-structured, or > structured data format which enables smoother data integration. The > ontology also assists AI for interpretation process, learning, enrichment, > prediction, semantic disambiguation and discovering of complex inferences. > Finally, the ultimate goal of ontologies is the ability to be integrated in > a software to make sense of all information. > > In the last decade, ontologies are increasingly being used to provide > background knowledge for several AI domains in different sectors (e.g. > energy, transport, health, banking and insurance, etc.). Some of these AI > domains are: > > - Machine learning and deep learning: semantic data selection, > semantic data pre-processing, semantic data transformation, semantic data > prediction, semantic clustering correction of the outputs, semantic > enrichment with ontological concepts, use the semantic structure for > promoting distance measure, etc. > - Probabilistic Graphical Models: learning PGM (structure or > parameters) using ontologies, probabilistic semantic reasoning, semantic > causality and probability, etc. > - Computer Vision: semantic image processing, semantic image > classification, semantic object recognition/classification, etc. > - Blockchain: semantic transactions, interoperable blockchain systems, > etc. > - Natural Language Processing: semantic text mining, semantic text > classification, semantic role labelling, semantic machine translation, > semantic question answering, ontology based text summarizing, semantic > recommendation systems, etc. > - Robotics: semantic task composition, task assignment, communication, > cooperation and coordination, etc. > - Voice-video-speech: semantic voice recognition, semantic speech > annotation, etc. > - Game Theory: semantic definition of specific games, semantic rules > and goals definition, etc. > - etc. > > > > ** Objective ** > > This workshop aims at highlighting recent and future advances on the role > of ontologies and knowledge graphs in different domains of AI and how it > can be used in order to reduce the semantic gap between the data, > applications, machine learning process, etc., in order to obtain a > semantic-aware approaches. In addition, the goal of this workshop is to > bring together an area for experts from industry, science and academia to > exchange ideas and discuss results of on-going research in ontologies and > AI approaches. > > We invite the submission of original works that are related -- but are not > limited to -- the topics below. > > > ** Topics of interests ** > > - Ontology for Machine Learning/Deep Learning > - Ontology for Probabilistic Graphical Models > - Ontology for Federated Machine Learning > - Ontology for Smart Contracts > - Ontology for Computer Vision > - Ontology for Natural Language Processing > - Ontology for Robotics and Multi-agent Systems > - Ontology for Voice-video-speech > - Ontology for Game Theory > - and so on. > > > > ** Submission * * > > The workshop is open to submit unpublished work resulting from research > that presents original scientific results, methodological aspects, concepts > and approaches. All submissions are not anonymous and must be PDF documents > written in English and formatted using the following style files: *KR2021_authors_kit > * > > Papers are to be submitted through the workshop's *EasyChair > * > submission page. > > We welcome the following types of contributions: > > - *Full papers* of up to 9 pages, including abstract, figures and > appendices (if any), but excluding references and acknowledgements: > Finished or consolidated R&D works, to be included in one of the Workshop > topics. > - *Short papers* of up to 4 pages, excluding references and > acknowledgements: Ongoing works with relevant preliminary results, opened > to discussion. > > > At least one author of each accepted paper must register for the workshop, > in order to present the paper. For further instructions, please refer to > the *KR 2021 > * > page. > > > ** Workshop chairs ** > > - Sarra Ben Abb?s, Engie, France > - Lynda Temal, Engie, France > - Nada Mimouni, CNAM, France > - Ahmed Mabrouk, Engie, France > - Philippe Calvez, Engie, France > > ** Program Committee ** > > - > > Shridhar Devamane, Physical Design Engineer, Tecsec Technologies, > Bangalore, India > - > > Philippe Leray, Professor at University of Nantes > - > > Stefan Fenz, key researcher at SBA Research and Senior Scientist at Vienna > University of Technology > > - > > Olivier Dameron, Professor at Universit? de Rennes I, Dyliss team, > Irisa / Inria Rennes-Bretagne Atlantique > - > > Aar?n Ayll?n Benitez, Phd in bioinformatique, ontology leader at BASF > digital solutions > - > > Fran?ois Scharffe, Researcher on Knowledge based AI, New York, United > States > - > > Maxime Lefran?ois, Associate Professor at Saint Etienne University, > France > - > > Pierre Maret, The QA Company & Saint Etienne University, France > - Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico > > **Publication* > > The best papers from this workshop may be included in the supplementary > proceedings of KR 2021. > -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Fri Jul 30 22:21:32 2021 From: jonizhong at msn.com (Joni Zhong) Date: Sat, 31 Jul 2021 02:21:32 +0000 Subject: Connectionists: [jobs] Call for Joint PostDoc Application (Cognitive Robots and Assistive Technologies) Message-ID: HKPolyU is providing opportunities to scientists and engineers who have completed their doctorate with less than five years of relevant postdoctoral work experience. The candidate is expected to have secured a postdoctoral offer from a non-HK-based institution for at least 1.5 years. The HKPolyU will cover another 1.5 years of support to conduct a joint PostDoc project. The non-HK-based institution should be ranked top 100 in the latest QS World University Ranking List OR ranked top 10 in the latest QS World University Ranking by subject. The support includes: - competitive salary for 1.5 years - fee for conference attendance - one-off support for traveling to HK The assistive technology lab. at the rehabilitation sciences dept. welcomes candidates from diverse academic backgrounds who are passionate about: - to apply human inputs as signals in shaping the adaptivity of technologies during run-time; - to apply human cognition in cognitive robotics as well as other technologies. More information about HKPolyU: HKPolyU is a leading university and one of the best global universities in HK with world-class research. It is centrally located in Hung Hom, the center of Hong Kong. Hong Kong is a global city that has attracted people from all corners of the globe. Many are drawn to Hong Kong thanks to its compact size, vibrant lifestyle, beautiful scenery and welcoming international community. You can also find tourist spots such as world-class theme parks, colonial architectures and fascinating Chinese temples. It is just half an hour away by public transportations for water sports and hiking. To know more research of Dr. Joni Zhong, please visit http://junpei.eu/. If you have interests to apply for it, please send an email together with a CV and two of your recent representative work to joni.zhong at ieee.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ieee.besc2021 at gmail.com Fri Jul 30 20:39:52 2021 From: ieee.besc2021 at gmail.com (Md Rafiqul Islam) Date: Sat, 31 Jul 2021 10:39:52 +1000 Subject: Connectionists: BESC 2021: Paper submissions deadline extended to August 9, 2021 Message-ID: Dear All, Due to multiple requests that we have received, the Committee of BESC 2021 is delighted to announce the extension of the deadline for paper submission. The following is our new timeframe. *Call for Submissions* The 8th International Conference on Behavioral and Social Computing (BESC 2021) will be a Virtual Conference, hosted by Hamad bin Khalifa University, Doha, Qatar 29-31 October 2021. BESC conference aims to become a premier forum in which academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioral and psychological sciences could present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. Conference Page: http://besc-conf.org/2021/call_for_papers.html *Keynote Speakers* 1. Dr. Ingmar Weber, Qatar Computing Research Institute, QATAR 2. Prof. Christian Montag, Ulm University, Germany Submission Page: https://easychair.org/conferences/?conf=besc2021 *Important Dates* Abstract Submission: August 5th, 2021 [Mandatory] Paper Submission: Extended to August 9th, 2021 [Strict] Paper Acceptance: Sep 15, 2021 Camera Ready: Oct 05, 2021 Conference Date: Oct *29-31, 2021* Best Regards, Raian Ali, Hamad Bin Khalifa University, Qatar Lin Li, Wuhan University of Technology, China Wajdi Zaghouani, Hamad Bin Khalifa University, Qatar Xiaohui Tao, University of Southern Queensland, Australia Guandong Xu, University of Technology Sydney, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.c.kampffmeyer at uit.no Sat Jul 31 17:31:30 2021 From: michael.c.kampffmeyer at uit.no (Michael Kampffmeyer) Date: Sat, 31 Jul 2021 21:31:30 +0000 Subject: Connectionists: CFP: Self-supervised Learning for Next-Generation Industry-level Autonomous Driving Workshop @ ICCV 2021 Message-ID: CFP: Self-supervised Learning for Next-Generation Industry-level Autonomous Driving Workshop @ ICCV 2021 https://sslad2021.github.io/ Paper submission deadline: August 22, 2021 Call for Submissions: The workshop is expected to attract research on self-supervised, semi-supervised and self-training techniques for achieving industry-level autonomous driving solutions, which will cover but are not limited to the following topics: - Self-supervised learning techniques -Life-long/incremental visual recognition methods -Weakly supervised learning algorithms -One/few/zero shot learning for perception tasks in self-driving -Learning in the presence of noisy data -Domain adaptation -Weakly supervised learning for 3D Lidar and 2D images -Real world self-driving image applications, e.g. lane detection, anomaly detection, object semantic segmentation/detection/localization, scene parsing, etc. -Vision-based localization and tracking -Safety/explainability/robustness for self-driving cars in the abovementioned settings We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. Papers should not be longer than 4 pages (excluding references) formatted using the ICCV template. All the submissions should be anonymous. An optional appendix can be added in the submission, after references. There is no page limit for the appendix. The accepted papers are allowed to get submitted to other conference venues. This workshop has no archival proceedings. Papers can be submitted through CMT https://cmt3.research.microsoft.com/SSLAD2021 Important Dates: Paper submission deadline: August 22, 2021 (11:59PM Pacific Time) Author notification: September 12, 2021 (11:59PM Pacific Time) Camera-ready papers due: September 26, 2021 (11:59PM Pacific Time) Keynote speakers: - Raquel Urtasun (University of Toronto) - Laura Leal-Taix? (Technical University of Munich) - Peter Kontschieder (Facebook) - Chunhua Shen (University of Adelaide) - Alex Kendall (University of Cambridge) Challenge: As part of the workshop, we also release a new Self-training Self-Driving (SSD) challenge, which to the best of our knowledge is the largest of its kind. It includes three competition tasks and contains 10 million 2D images and 1 million video frames collected from real-world driving scenarios. Note, multimodal information is available for the video data, where each frame is accompanied by 1 lidar image and 6 other view angles. This SSD challenge aims to provide a standard industry-level benchmark for examining the generalization and robustness ability of self-supervised/semi-supervised perception models on large-scale real-world self-driving applications. More information at: https://sslad2021.github.io/pages/challenge.html Contact: sslad2021 at googlegroups.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sat Jul 31 09:07:39 2021 From: suashdeb at gmail.com (Suash Deb) Date: Sat, 31 Jul 2021 18:37:39 +0530 Subject: Connectionists: Extension of Deadline - ISCMI 2021 (Cairo) Message-ID: Dear friends & esteemed colleagues, Warmest greetings. Hope all is well at your end. This is to share with you that on numerous requests from peers & taking into account of the present for global scenario vis-a-vis covid, the deadline for submissions for ISCMI 2021 had been extended till *30th Aug'21 *http://iscmi.us/index.html I solicit your help in sharing this info with your colleagues & motivate them to consider submission, if not already. Thanks & and with warm rgds, Suash Deb General Chair, ISCMI 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Fri Jul 30 19:28:01 2021 From: tiako at ieee.org (Pierre F. Tiako) Date: Fri, 30 Jul 2021 18:28:01 -0500 Subject: Connectionists: (CFP) 2021 OkIP Intl Conf on Cloud Computing & Tech|| Oklahoma City, USA|| Nov 15-18, 2021 Message-ID: [Apologies if you receive multiple copies] =========================================== --- Call for Abstracts and Papers ------------- 2021 OkIP International Conference on Cloud Computing and Technologies (CCCT) MNTC Conference Center, Oklahoma City, OK, USA & Online November 15-18, 2021 https://eventutor.com/e/CCCT001 Oklahoma International Publishing (OKIP) is pleased to host the 1st International Conference on Cloud Computing and Technologies (CCCT). The conference aims to bring together scholars from different disciplinary backgrounds to emphasize the dissemination of ongoing research and development in the field. Proposals are solicited describing original works in fields below and related technologies. CCCT will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published by OKIP and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of best papers will be considered for the inaugural issue of the International Journal of Information Technology Research ISSN 1553-653X. >>Cloud Concepts - Pervasive Computing | Cloud Standards - Public/Private/Hybrid Cloud | Governance - Multi-Tenancy Clouds | 5G Cloud - Business Models | Industry-Specific Clouds - Middleware Frameworks | COTS Vs. SaaS - Load Balancing | Cloudsourcing | ? >>Applications and Services - Application Portability/Scalability/Availability - Application Modeling/Performance/Monitoring - Application Dvlpmt/Debugging Method/Tool - Application Testing/Architectures - Programming Models/Benchmarks/tools - Service Design/Creation/Delivery/Pricing - Service Modeling/Specification/Composition - Service Discovery/Monitoring/Control - Service Innovation/Operation/Strategy - Service Marketing/Management/Deployment - Service Frameworks/Standardization - Data Management Applications/Services/Tools - Everything as a service XaaS/IaaS/PaaS/SaaS - Service Delivery/Integration/Orchestration >>Security/Privacy/Compliance - Identity/Credential/Trust Management - Cloud Accountability/Auditability/Trust - Authentication and Authorization Support - Security/Privacy/Compliance Control - Privacy Protection and Preservation - Data Protection and Loss/Leakage Prevention - Integrity/Systems Risk/Mitigation Management - Intrusion Detection System/Failure Awareness - Security/Privacy as a Service - Trust/Cryptography/Blockchain as a Service - Cloud Resiliency/Fault Tolerance - Cloud Disaster Recovery | Anomaly Detection - Traffic Reliability | Multi-Tier Cloud Apps - Cloud Risk/Mitigation/Cognitive-Compliance - Availability/Transparency/Regulation/Policy >>Platform/Provisioning/Storage - Modeling and Provisioning in Cloud | Kernels - Virtualisation Technologies/Enablers - Software-Defined Networking | Microservices - Containers | Public/Private/Hybrid Storage - Integrated Circuits | Processing Units - FPGAs/GPUs/APUs/TPUs/vCPUS Design - System Scalability/Performance/Evaluation - Computational Resources/Engines/Functions - Storage Type/Process/Architecture - Object/Block/File/Archival Storage - Resource Provisioning/Monitoring/Management - Resource Evaluation/Maintenance - Serverless Design/Development/Deployment - Serverless Functions/Applications/Services - In-Memory Storage | Performance Prediction - CPU/Memory Resource Requirements - Cost Effectiveness/Awareness - API Platform/Ecosystem >>Infrastructure/AI in the Cloud - Performance and Optimization in Cloud - Architect. Modeling/Components Distribution - Cloudlet Infrastructure | Edge-Cloud Systems - Energy Efficiency | Performance Acceleration - Performance Monitoring/Evaluation - Multi-Cloud/Heterogeneous Environment - Distributed Infrastructure/Architecture - Workload-Alloc. |Hyperparameter Optimization - Elasticity in Cloud | Crowd Computing - Large-Scale Optimization | Fog Computing - Virtualized/Cloud/Green Data Centers - Portability/Interoperability/Mobility - Auditor/Carrier/Broker/Provider/Customer - Dynamic Resources/Service/Context Mgmt - Dynamic Cloud Innovation/Integration/Coop. - Dynamic Cloud Experimentation/Adaptability - Data Reduction/Compres./Recovery/Encryption - Genetic/Graph Algorithms in the Cloud - Association-Rule/Data Mining in the Cloud - Cloud Big Data Analytics/Benchmarks - Bayesian Networks/Optimization in the Cloud - Cloud Deep/Reinforcement/Machine Learning - Neural-Network/Collective Intelligence - Cloud Blockchain-Based Systems | eLearning - IoT Cloud Infrastructure/Models/Architectures - Stream Processing on the Cloud - eBanking/eBusiness/eGovernance/eHealth - Context-aware/Peer-to-Peer Computing >> Technical Research & Industry Contribution - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Poster/Journal First: Displayed/Oral presented (1 page) >> Corporate Showcase & Exhibition - Booth: Display product and/or service offerings (1 page) - Oral: Present product and/or service offerings (1 page) >> Student Poster & Career Fair - Graduate & Doctoral: Peer-reviewed Poster (1 page) - Undergraduate/High School: Selected Poster (1 page) - Recruiter Booth: Product/Service & Job offerings (1 page) >> Workshop, Tutorial, Forum & Panel - Workshop, Tutorial & Tour: Proposal (1 page) - Executive Forum, Panel & Talk: Proposal (1 page) >> Important Dates: - Submission: Aug 31, 2021 - Notification: Sep 26, 2021 - Conference: Nov 15-18, 2021 >> Technical Program Committee https://eventutor.com/event/7/page/14-committee >> Venue https://eventutor.com/event/4/page/9-venue >> Co-located Conferences and Events https://eventutor.com/event/4/page/4-conferences >> For more information, submission details, and important dates, visit: https://eventutor.com/e/CCCT001 Please feel free to contact us for any inquiry at: info at okipublishing.com -------- Pierre Tiako 2021 OkIP CCCT General Chair tiako at ieee.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From justin.svegliato at gmail.com Sat Jul 31 10:32:34 2021 From: justin.svegliato at gmail.com (Justin Svegliato) Date: Sat, 31 Jul 2021 10:32:34 -0400 Subject: Connectionists: [CFP] IROS 2021 Workshop on Building and Evaluating Ethical Robotic Systems (ERS 2021) Message-ID: Website: https://ers-workshop.com/ Submission Deadline: August 13, 2021 (AoE) Submission Link: https://easychair.org/conferences/?conf=ers2021 Contact: ers.workshop at gmail.com *===Workshop Overview===* The deployment of robotic systems has been accelerating in many domains that have a substantial impact on society. For example, robotic systems have been proposed for applications that range from elder care and autonomous driving to nuclear energy production and military technology. However, while our ability to build robotic systems that integrate into our daily lives has expanded over the years, it has outstripped our ability to build robotic systems that can account for the large number of different ethical considerations that may arise during operation. This workshop therefore focuses on building and evaluating ethical robotic systems at every level of the robotics stack while broadening the scope of areas that should be considered by researchers, such as how users can interact with new and existing technology or how legislators can develop actionable standards and regulations. *ERS 2021* aims to bring together researchers from academia and industry to discuss key challenges, learn from real-world case studies, identify potential research avenues, explore recent technical advances, present novel data sets, and survey existing work related to ethical robotic systems. Given this aim, we invite contributions that draw from a range of methods in artificial intelligence and robotics, such as planning, reinforcement learning, machine learning, deep learning, human-robot interaction, safety, explainability, transparency, formal verification, social preferences, and human factors. Most importantly, we welcome researchers from disciplines beyond robotics, including philosophy, psychology, sociology, and law, in order to represent diverse perspectives on building and evaluating ethical robotic systems. Relevant research topics include but are not limited to: - Value alignment in robotic systems - Cultural, political, and societal impacts of robotics - Methods for analyzing the ethical implications of autonomous systems - Moral reasoning in autonomous systems - Safe, transparent, explainable, or interpretable AI systems - Ethical compliance in robotic systems - Ethically sensitive design and implementation of autonomous systems - Human-compatible or beneficial AI systems - Law, regulation, and governance of robotics - Challenges of building and evaluating ethical robotic systems - Ethical models and algorithms in robotic systems - Impacts of robotics on vulnerable groups - Novel data sets or test suites for ethical robotic systems *===Workshop Format===* This is a virtual IROS workshop that will include invited speakers, oral presentations of accepted papers, poster sessions of accepted papers, discussion sessions, and moderated panels. *===Submission Guidelines===* We encourage a range of submission types to facilitate broad participation: - Highlight Paper (up to 2 pages) - Short Technical Paper (up to 4 pages) - Full Technical Paper (up to 6 pages) - Position Paper (up to 4 pages) - Case Study Paper (up to 6 pages) - Survey Paper (up to 8 pages) Details: Papers published, accepted, or under review at other conferences can be submitted and presented at the workshop subject to the conference guidelines. There is no page limit for references and supplementary materials. Submissions should be in PDF and follow the IROS 2021 format guidelines. All accepted papers will be included in an electronic, non-archival proceedings. *===Best Paper Award===* The Center for Human-Compatible AI (CHAI) at UC Berkeley and the Berkeley Existential Risk Initiative (BERI) are generously sponsoring the *ERS 2021 Best Paper Award*. The best paper will be selected based on a vote among the organizers and the program committee. The authors of the best paper will receive a $400 cash prize and a printed certificate at the end of the workshop. *===Important Dates===* - Paper Submission: August 13, 2021 (AoE) - Author Notification: August 25, 2021 - Camera-Ready Submission: TBD *===Invited Speakers===* - Ron Arkin, Georgia Tech - Francesca Rossi, IBM - Matthias Scheutz, Tufts University - Ben Kuipers, University of Michigan - Bertram Malle, Brown University *===Organizers===* - Paul Bello, Naval Research Laboratory - Louise Dennis, University of Manchester - Dylan Hadfield-Menell, MIT - Samer Nashed, UMass Amherst (Co-Chair) - Justin Svegliato, UMass Amherst (Co-Chair) - Alan Winfield, UWE Bristol -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Fri Jul 30 06:02:40 2021 From: mm at di.ku.dk (Maria Maistro) Date: Fri, 30 Jul 2021 10:02:40 +0000 Subject: Connectionists: PhD Position in ML and IR, University of Copenhagen Message-ID: <76596332-E6DD-4817-81F8-70900AF20B67@ku.dk> **** 5 PhD fellowships in Machine Learning and Information Retrieval **** **** Department of Computer Science, University of Copenhagen **** The Machine Learning Section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering five fully-funded PhD Fellowships in Machine Learning and Information Retrieval, commencing 1 January 2022 or as soon as possible thereafter. - Deadline to apply: August 15, 2021 - Link to apply: https://employment.ku.dk/phd/?show=154480 * Our group and research, and what do we offer: -------------------------- The fellows will join the Machine Learning Section at DIKU. The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry. The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation. * The fellows will conduct research, having as starting point the following broad research areas: -------------------------- - a fully-funded PhD in machine learning evaluation; - a fully-funded PhD in bias and interpretability for machine learning; - a fully-funded PhD in overparameterization and generalizability in deep neural architectures; - a fully-funded PhD in applied machine learning and/or information retrieval with focus on human-centered computing aspects; - a fully-funded PhD in web & information retrieval. * Who are we looking for? -------------------------- We are looking for candidates with a MSc degree in a subject relevant for the research area. The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval. For one of the PhDs, the candidate is expected to also have strong grades in Human-Centered Computing. The candidate should have a preliminary research record as witnessed by a master thesis or publications in the area. For more information, please have a look at: https://employment.ku.dk/phd/?show=154480 ??? Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: