From peter.karsmakers at kuleuven.be Mon Mar 1 00:55:45 2021 From: peter.karsmakers at kuleuven.be (Peter Karsmakers) Date: Mon, 1 Mar 2021 05:55:45 +0000 Subject: Connectionists: Professor Position Artificial Intelligence For Industry (KU Leuven, Belgium) In-Reply-To: <842CB59A-624A-45CC-9342-0980837FD014@kuleuven.be> References: <5C1FB7D8-4828-4EFB-BB6E-D7D6F31EAD79@kuleuven.be> <842CB59A-624A-45CC-9342-0980837FD014@kuleuven.be> Message-ID: <1DCDD447-D3BA-439E-99F2-E3C2FF640854@kuleuven.be> Dear Colleagues, KU Leuven has a fixed-term (5 year) part-time (95%) academic vacancy in the area of Artificial Intelligence at its campus in Bruges. We are looking for internationally oriented candidates with an excellent research record, preferably focused on deploying AI in Business and Industrial Environments, and with demonstrable didactical skills. The expected start date is October 1, 2021. The successful applicant will be appointed in the Faculty of Engineering Technology. This Faculty is part of the Science, Engineering and Technology Group of KU Leuven. The position is interdepartmental, with a joint appointment in both the Department of Computer Science and the Department of Electrical Engineering (ESAT). The successful applicant will engage in collaborations with experts in data analysis and AI and academic users of AI technology in the broader region. Overall, he/she will be an active member of the KU Leuven Institute for Artificial Intelligence (Leuven.ai). This interdisciplinary institute combines the AI expertise of 60+ professors, 100s of researchers and 500 master students. As one of the 10 most innovative universities in the world, KU Leuven has been very successful in the creation of spin-off companies, illustrating the socio-economic relevance of its research. Many of these spin-off companies are technology leaders within their domain, and their products and services are renowned internationally. More information see: https://www.kuleuven.be/personeel/jobsite/jobs/56002799?hl=en&lang=en The deadline for applications is March 8. Best regards, Peter ? prof. dr. Peter Karsmakers [signature_1075745688] [/var/folders/z8/hsb0l6j16bsg031x1w8zq02r0000gn/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/image][page1image8119648] KU Leuven | Faculty of Engineering Technology Geel Campus | Kleinhoefstraat 4, 2440 Geel (Belgium) tel. +32 14 72 13 58 | www.iiw.kuleuven.be/geel Departement of Computer Science | DTAI-ADVISE ADVISE - DTAI [signature_747597985] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 23502 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 242741 bytes Desc: image002.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.png Type: image/png Size: 10027 bytes Desc: image003.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.png Type: image/png Size: 1469065 bytes Desc: image004.png URL: From vincentthunder2011 at gmail.com Mon Mar 1 02:06:07 2021 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Mon, 1 Mar 2021 15:06:07 +0800 Subject: Connectionists: =?utf-8?q?Call_for_Papers_of_Journal_of_Ambient_I?= =?utf-8?q?ntelligence_and_Humanized_Computing_Special_Issue_on_?= =?utf-8?q?=E2=80=9CAI_Drives_Our_Future_Life=E2=80=9D?= Message-ID: Call for Papers of Journal of Ambient Intelligence and Humanized Computing Special Issue on ?AI Drives Our Future Life? SUMMARY While ?Artificial Intelligence? (AI) becomes the mainstream of application techniques breakthrough, its impacts to our future life is unprecedented. AI becomes increasingly important for understanding complex data and offering intelligent processing to foster innovative business applications, self-driving cars, voice recognition, drug design, and new medical applications in the future. Recently, new technologies with explainable AI, such as federated learning, meta-learning, active learning, multi-task learning, inductive graph learning, transfer learning, and ensemble learning, have emerged and attracted considerable interests from both academic and industrial communities. Meanwhile, the rising prominence of AI has dramatically transformed a variety of domains. For intelligent wireless networks, due to privacy constraints and limited communication resources, distributed multi-agent reinforcement learning and federated learning are employed to solve complex convex and nonconvex optimization problems and collaboratively learn shared prediction models for user clustering, resource management, and interference alignment. For smart automatic driving, robust deep learning models that are capable to avoid adversarial examples are developed to analyze world state representations and behavior models, as well as forecast and control the car trajectory according to various sensors (e.g., cameras, HD maps, inertial measurement units, wheel encoders, LiDAR). Moreover, for immersive VR and AR, Generative Adversarial Networks (GANs) have been widely adopted to address scene segmentation, depth estimation, realistic 3D modeling, image fusion, whereas effective gaze estimation and prediction algorithms are designed to reduce the computation time for immersive view rendering. For health and digitized education, AI is also the cornerstone to infer indicators of disease activities for early detection of emerging outbreaks, and to facilitate knowledge tracing for online courses. To support the above applications, domain-specific software and hardware co-design in DNN accelerators is crucial to boost the performance and energy efficiency for various computation and memory-intensive tasks, making these models usable on smaller devices at the edge of the Internet. Researchers and practitioners are jointly devoting efforts to develop solutions for related problems using various AI methods. Therefore, this special issue aims to bring together recent advances in AI for various domains to share new findings among the community and bridge the gaps between research and practice. SCOPE The topics of interest include, but are not limited to: Artificial Intelligence Learning Theory and Statistics AI for Healthcare and Bioinformatics Artificial Intelligence on Education AIoT Applications AR/VR and Human Computer Interaction Autonomous Driving Algorithms and Computation Theory with AI Big Data Systems and Analysis Image Processing, Computer Graphics, and Multimedia Technologies Intelligent Network Intelligent Manufacturing Web Intelligence and Social Network Cyber Security Computer Architecture, Embedded Systems, SoC, and VLSI/EDA to support AI Parallel, Distributed, and Cloud/Edge Computing for AI SUBMISSION PROCEDURE All manuscripts must be prepared and submitted following to the submission guidelines of Journal of Ambient Intelligence and Humanized Computing that can be accessed at https://www.springer.com/journal/12652/submission-guidelines?IFA. Submission of a manuscript implies that the work described has not been published before, and that it is not under consideration for publication anywhere else. All submitted papers will go through the same review process as the regular Journal of Ambient Intelligence and Humanized Computing paper submissions. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the special issue topics above. IMPORTANT DATES Manuscript submission: June 30, 2021 First Decision: September 15, 2021 First Revision Submission: October 15 2021 Second Revision Submission: October 30, 2021 Final Decision: November 10, 2021 GUEST EDITORS Pau-Choo (Julia) Chung National Cheng Kung University, Taiwan Gary G. Yen Oklahoma State University, USA De-Nian Yang Academia Sinica, Taipei, Taiwan Meng-Hsun Tsai National Cheng Kung University, Taiwan -------------- next part -------------- An HTML attachment was scrubbed... URL: From pierre.bessiere at Sorbonne-universite.fr Mon Mar 1 05:24:42 2021 From: pierre.bessiere at Sorbonne-universite.fr (bessierep) Date: Mon, 1 Mar 2021 11:24:42 +0100 Subject: Connectionists: Online Symposium Parallel Computing Quantum Devices - March 23, 24 and 25th, 2021 Message-ID: <122EDBC6-970C-4808-B570-6EC029234C6F@Sorbonne-universite.fr> Parallel Computing Quantum Devices https://www.probayes.com/2021/02/05/symposium-quantum/ As the demand for more powerful computing resource increase, new computing approaches are actively developed. The FET-Open European project COPAC , Coherent Optical Parallel Computing, Pr Fran?oise Remacle coordinator, is one of such endeavors : COPAC aims at implementing massively parallel quantum logics on solid state quantum dot devices operating at room temperature using sequences of fs laser pulses. COPAC organizes an online symposium on March 23rd, 24th and 25th 2021, that covers the different facets non linear optics, materiel science, quantum devices and quantum computing of the project. _________________________________ Pr. Pierre Bessi?re http://bayesian-programming.org Phone: +33 1 44 27 51 54 Lab: ISIR CC 173 - 4 Place Jussieu 75005 Paris FRANCE _________________________________ _________________________________ Pr. Pierre Bessi?re http://bayesian-programming.org Phone: +33 1 44 27 51 54 Lab: ISIR CC 173 - 4 Place Jussieu 75005 Paris FRANCE _________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Image du Presse-papiers.jpg Type: image/jpeg Size: 5494 bytes Desc: not available URL: From nicholas.cummins at ieee.org Mon Mar 1 09:45:39 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Mon, 1 Mar 2021 14:45:39 +0000 Subject: Connectionists: UK Healthcare text analytics conference (HealTAC) 2021 - second announcement Message-ID: ****************************************** * Healthcare Text Analytics Conference* * HealTAC 2021* * June 17-18, 2021* * http://healtex.org/healtac-2021/ * ****************************************** We are delighted to announce HealTAC 2021, the fourth annual Healthcare Text Analytics Conference. Given the ongoing situation with the COVID-19 pandemic, HealTAC 2021 will be an *online* event, but if the circumstances allow, we aim to organise a *blended* conference, with some activities also delivered face-to-face in London, UK. As in previous years, HealTAC 2021 will bring the academic, clinical, industrial and patient communities together to discuss the current state of the art in processing healthcare free-text data and share experience, results and challenges. *Keynotes:* - *Dr Aur?lie N?v?ol* (Universit? Paris-Saclay, CNRS, LIMSI), who will discuss ?Responsible bioNLP in the making: contributions from ethics, reproducibility and the state of NLP? - *Prof Maria Liakata* (Queen Mary University, the Alan Turing Institute), who will talk about longitudinal models of NLP and their application to mental health. *Submissions:* We invite full and short papers, posters, PhD student/early postdoc papers, demos, tutorials and panel proposals that address any methodological or implementational aspect involved in processing and using healthcare free text data. Submissions are welcome from all disciplines interested in this area (NLP, speech processing, clinical and social care, legal, auditing etc.). For selected conference papers, there will be the option to submit a journal length paper for further peer review and publication in *Frontiers in Digital Health*. *Key dates:* - *March 15th 2021:* deadline for long and short papers, tutorial and panel proposals - *April 12th 2021:* deadline for posters, PhD forum and demo proposals - *April 23rd, 2021:* notification of acceptance *Topics:* - Natural language processing of healthcare text - Information extraction: identification of clinical variables and their values in free-text - Speech analytics for healthcare applications - Medical ontologies and coding of healthcare text - Machine-learning approaches to healthcare text analytics - Transfer learning for healthcare text analytics - Processing patient-generated data (e.g. social media, health forums, diaries) - Processing clinical literature and trial reports - Integration of structured and unstructured resources for health applications - Text analytics and learning health systems - Explainable models for healthcare NLP - Real-time processing of healthcare free text - Real-world application of text analytics - Scalable and secure healthcare NLP infrastructures - Implementation of healthcare text analytics in practice: public engagement and trust - Sharing resources for healthcare text analytics (data and methods) - Reproducibility in the healthcare text analytics - Evaluation and assessment of text analytics methods - Text mining for veterinary medicine *Pre-conference event(s): *There will be pre-conference events organised on June 16th - more information to follow soon. *Details:* http://healtex.org/healtac-2021/ Follow the conference announcements on Twitter at *#HEALTAC2021* -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Mar 1 09:57:25 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 1 Mar 2021 15:57:25 +0100 Subject: Connectionists: CFP COMPLEX NETWORKS 2021 Madrid Spain November 30 - December 02, 2021 Message-ID: *Tenth** International Conference on Complex Networks & Their Applications* *Madrid, Spain *November 30 - December 02, 2021 http://www.complexnetworks.org You are cordially invited to submit your contribution until September 01, 2021. *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)* 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 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 *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* 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 nemanja at temple.edu Mon Mar 1 19:23:54 2021 From: nemanja at temple.edu (Nemanja Djuric) Date: Mon, 1 Mar 2021 19:23:54 -0500 Subject: Connectionists: CfP: IROS 2021 Autonomous Vehicle Vision (AVVision) Organized Session Message-ID: IROS 2021 Organized Session Call for Papers (Deadline: Mar. 05, 2021) Accept both RA-L with IROS papers and IROS-only papers Autonomous Vehicle Vision (AVVision) Organized Session Website (https://avvision.xyz/iros21/) 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, and d) resilient and robust platforms that can withstand adversarial attacks and failures. The Autonomous Vehicle Vision (AVVision) Special Session at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) 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; ? Self-supervised/unsupervised visual environment perception; ? Car/pedestrian/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. Organizers Dr. Rui Ranger Fan, UC San Diego Dr. Nemanja Djuric, Aurora Technologies Dr. Wenshuo Wang, McGill University Important Dates Full Paper Submission: 03/05/2021 Submission ID forwarding: 03/07/2021 Submission [**Important**] 1. If you are submitting an RA-L with IROS paper, please simply forward your submission ID to us (avvision at mias.group) before 03/07/2021. 2. If you are submitting an IROS-only paper, please select ?organized session paper? instead of ?contributed paper?, then input tg5r4 into the code section. After submitting your paper, please simply forward your submission ID to us (avvision at mias.group) before 03/07/2021. Contact avvision at mias.group More information can be found at https://avvision.xyz/iros21/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mingbo.cai at gmail.com Mon Mar 1 21:44:03 2021 From: mingbo.cai at gmail.com (Mingbo Cai) Date: Tue, 2 Mar 2021 11:44:03 +0900 Subject: Connectionists: [job] Postdoctoral Researcher on fMRI study of spontaneous thoughts and natural task Message-ID: Postdoctoral Researcher on fMRI study of spontaneous thoughts and natural tasks 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 3-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 co-funded by AMED of Japan and DFG of Germany 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 for 3 years, with a probation period of 6 months. Starting date: On or after April 1, 2021. *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 title ?[Postdoc Application] + your name? to mingbo.cai at ircn.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. Informal inquiry can also be sent to Dr. Cai. *Application deadline:* The first deadline is March 31. The position will remain open until filled. We encourage early application as the review can start before the deadline. Mingbo Cai Principal Investigator International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Mar 1 18:43:56 2021 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 1 Mar 2021 23:43:56 +0000 Subject: Connectionists: CFPs: IEEE/ACM/ASA DSAA'2021 Message-ID: <20d7fd23-84a7-424b-6591-acffe8d53f17@isep.ipp.pt> IEEE/ACM/ASA DSAA'2021 Porto, Portugal, 06-09 October 2021 Website: https://dsaa2021.dcc.fc.up.pt/ Submission website: https://cmt3.research.microsoft.com/DSAA2021 ------------------------------------------------------------ Important Dates Research, Application and Tutorials: submission deadline: 23 May 2021 Research and Application notification: 25 Jul. 2021 Research and Application camera ready due: 8 Aug. 2021 ------------------------------------------------------------ Highlights of DSAA'2021 *A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. *Strong Journal, Research, and Applications tracks with reproducible and open results. *Industry track session with lightning results highlighting research advances and industry?s best practices. *Special sessions on the foundations and emerging areas for data science. *Tutorials on hot topics, and hands-on tutorials *Special panel on the trends and controversies of data science and analytics. *Strong cross-domain interactions among researchers and industry and government policymakers and practitioners. *Industry and research exhibits. *Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed. *Technically supported by ACM SIGKDD and ASA. ------------------------------------------------------------ Precaution of COVID-19 Due to ongoing uncertainty about future travel due to COVID-19, DSAA'2021 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions. ------------------------------------------------------------ About DSAA'2021 The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA'2021) will provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users in statistics, computing science, and intelligence science for the exchange of the latest theoretical developments in Data Science and Analytics and the best practice for a wide range of applications. The conference invites submission of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios. DSAA'2021 is a multi-track conference consisting of a Journal Track, Research Track, Application Track, and Industry Track. DSAA'2021 will also feature a peer-reviewed Poster session whose purpose is to showcase recent and early-stage research developments on topics that are of interest to students and industry/government practitioners in data science and analytics. ------------------------------------------------------------ Research Track The Research Track solicits the latest, original, and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to: *Data Science and Advanced Analytics Methods *Mathematics, Statistics for data science and analytics *Understanding data characteristics and complexities *Deep Learning *Data quality and misinformation *Bayesian learning, optimization, inference, and regularization *Infrastructures, and systems *Evaluation, explanation, visualization, and presentation *Fairness, accountability, and trustworthy Machine Learning *Survey and review The paper submission deadline for the Research Track is May 23, 2021 (no separate abstract deadline) and the acceptance notifications will be sent out by July 25, 2021. ------------------------------------------------------------ Applications Track The Application track solicits original, impactful, and actionable application results of Data Science and Advanced Analytics across various disciplines and domains, including business, government, healthcare and medical science, physical sciences, and social sciences. Submissions address a real problem on real-life data that is reproducible ideally through a public git repository, providing inspiring results to policymakers, end-users or practitioners or highlighting new practical challenges for researchers. Topics of interest include but are not limited to: *Domain-driven data science and analytics practice *Real-world applications and case studies *Operationalizable infrastructures, platforms, and tools *Deployment, management, and decision-making *System and software demonstrations *Social and economic impact modelling *Ethics, social issues, privacy, trust, and bias ------------------------------------------------------------ Industrial Track The IEEE DSAA'2021 Industry track aims to highlight the challenges of putting together production-grade software solutions to different business verticals based on data science. Our goal is to promote the debate, the exchange of ideas and/or collaborations on how to add business value to society through data science. ------------------------------------------------------------ Submission Submissions to the main conference including Research Track & Application Track are available from CMT: https://cmt3.research.microsoft.com/DSAA2021. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From giacomo.cabri at unimore.it Mon Mar 1 06:06:55 2021 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Mon, 1 Mar 2021 12:06:55 +0100 Subject: Connectionists: CfP (*extended deadline*): Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) at WETICE 2021 Message-ID: <2cc74305-2afe-d139-8720-5fc44ff4c89e@unimore.it> *The submission deadline has been *EXTENDED* to *March 31st, 2021* *19th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC)* Track?at IEEE WETICE 2021 Bayonne, France, 23-25 June 2021 http://didattica.agentgroup.unimore.it/ACEC2021 Call for Papers *Aims and Scope* Over its 18 years of existence, ACEC has focused on works?that explore?the adaptability, autonomy and intelligence of software agents for the collaboration across the enterprise. In 2021,?organizers would like to continue to explore the research on agent-based computing, but they would also?welcome works that leverage advanced adaptive techniques, non necessarily based on software agents. In addition to the?traditional domain areas, i.e., Computer Supported Collaborative Work, Workflow and Supply Chain Management, Automation in Virtual Enterprises, and Automated Distributed Service Composition, ACEC is?also interested in new adaptive techniques, e.g.,?Cloud Computing, Crowd-Sourcing, and?Social Networking. In addition to traditional papers, the forthcoming 19th episode of ACEC welcomes papers from two focus areas: * Adaptive and Agent-based Services * Adaptive Techniques for Organizational/Enterprise Use of Emerging Web Paradigms (Cloud, Crowd-sourcing, Mobile Apps) Such two themes represent important areas where software agents can leverage their distributed nature,?along with their proactive and autonomous characteristics, to provide solutions to?complex problems, which are difficult to solve?using traditional/existing technologies. *Topics of Interest* Topics of interest include, but are not limited to: * Adaptive and/or agent-mediated workflow, supply chain, and virtual?enterprises * Methodologies, languages and tools to support agent collaboration * Agent architectures and infrastructures for dynamic collaboration * Adaptive and/or Agent-based service architectures and infrastructures * Service Oriented Architectures (SOAs) based on agents * Services for dynamic agent collaboration * Agent-to-Human service interactions * Autonomous, Adaptive and/or Agent-mediated service integration * Organizational and enterprise systems that leverage the Web 2.0 * Adaptive and Agent-mediated cloud environments *Important Dates* * Paper submission: *March 31st, 2021* * Notification: *April 25th, 2021* * Camera ready: *May 15, 2021 * * Conference: *23-25 June 2021* *Paper Submission* Papers should contain original contributions (not published or submitted elsewhere) and references to related state-of-the art work. Please submit your papers in PDF or PS format. Papers up to 6 pages (including figures, tables and references) can be submitted. Papers should follow the IEEE format, which is single-spaced, two columns, 10pt Times/Roman font. Papers should include a title, the name and affiliation of each author, an abstract of up to 150 words and no more than eight keywords. All submitted papers will be peer-reviewed by a minimum of three program committee members. The accepted papers will be published in the post-conference proceedings (to be published by the IEEE Computer Society Press). Authors of accepted papers must present their papers at the conference.?At least one author for each accepted paper should register and attend WETICE 2021 to have the paper published in the proceedings. The paper submission procedure is carried out using the EasyChair conference management system: https://easychair.org/conferences/?conf=wetice2021 *Track Chairs* * Federico Bergenti, Universit? degli Studi di Parma, Italy * M. Brian Blake, George Washington University, USA * Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy * Usman Wajid, Information Catalyst, UK -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From jiangdm at nwpu.edu.cn Tue Mar 2 02:24:29 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Tue, 2 Mar 2021 15:24:29 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021 Call for Doctoral Consortium Contributions Message-ID: Doctoral Consortium - Call for Contributions *************************************** ACM ICMI 2021: Call for Doctoral Consortium Calls https://icmi.acm.org/2021/index.php?id=cfdc 18-22 Oct 2021, Montreal, Canada *************************************** The goal of the ACM ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces. We expect to provide economic support to most attendees that will cover part of their costs (travel, registration, meals etc.). Who should apply? While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. Why should you attend? The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research and whom you can talk to during lunch. We specifically aim to create an informal setting where students feel supported in their professional development. Agenda: 09:00 - 09:30: Invited talk 09:30 - 11:00: DC talks 1 11:00 - 11:30: Coffee break 11:30 - 13:00: DC talks 2 13:00 - 14:30: Lunch mentoring session 14:30 - 15:15: Panel discussion (senior PhD students and recent graduates) 15:15 - 15:45: Coffee break 15:45 - 17:00: Table discussions (small group discussions about topics of interest) Submission Guidelines: Graduate students pursuing a PhD degree in a field related to designing multimodal interfaces should submit the following materials: 1. Extended Abstract: A four-page description of your PhD research plan and progress in the ACM SigConf format. Your extended abstract should follow the same outline, details, and format of the ICMI short papers. The submissions will not be anonymous. In particular, it should cover: - The key research questions and motivation of your research; - Background and related work that informs your research; - A statement of hypotheses or a description of the scope of the technical problem; - Your research plan, outlining stages of system development or series of studies; - The research approach and methodology; - Your results to date (if any) and a description of remaining work; - A statement of research contributions to date (if any) and expected contributions of your PhD work; 2. Advisor Letter: A one-page letter of nomination from the student's PhD advisor. This letter is not a letter of support. Instead, it should focus on the student's PhD plan and how the Doctoral Consortium event might contribute to the student's PhD training and research. 3. CV: A two-page curriculum vitae of the student. All materials should be prepared in PDF format and submitted through the ICMI submission system. Review Process: The Doctoral Consortium will follow a review process in which submissions will be evaluated by a number of factors including (1) the quality of the submission, (2) the expected benefits of the consortium for the student's PhD research, and (3) the student's contribution to the diversity of topics, backgrounds, and institutions, in order of importance. 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. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in this year's Doctoral Consortium cohort. We do not expect more than two students to be invited from each institution to represent a diverse sample. Women and other underrepresented groups are especially encouraged to apply. Financial Support: The conference is pleased to offer partial financial support for doctoral students participating in the Doctoral Consortium and attending the conference. Only students who apply and are accepted for participation in the Doctoral Consortium can be considered for financial support. The number and size of the offers of financial support are contingent upon the number of invited student participants. Attendance: All authors of accepted submissions are expected to attend the Doctoral Consortium and the main conference poster session. The attendees will present their PhD work as a short talk at the Consortium and as a poster at the conference poster session. A detailed program for the Consortium and the participation guidelines for the poster session will be available after the camera-ready deadline. Process: - Submission format: Four-page extended abstract using the ACM format (https://www.acm.org/publications/proceedings-template#aL2) - Submission system: https://new.precisionconference.com/sigchi - Selection process: Peer-Reviewed - Presentation format: Talk on consortium day and participation in the conference poster session - Proceedings: Included in conference proceedings and ACM Digital Library - Doctoral Consortium Co-chairs: Iolanda Leite (KTH Royal Institute of Technology) and Alessandro Vinciarelli (University of Glasgow). Submission: July 2nd Notification: Camera ready: August 16th Important Dates: Submission deadline July 2nd, 2021 Notifications August 6th, 2021 Camera-ready August 16th, 2021 Questions? For more information and updates on the ICMI 2021 Doctoral Consortium, visit the Doctoral Consortium page of the main conference website (https://icmi.acm.org/2021) For further questions, contact the Doctoral Consortium co-chairs: - Iolanda Leite (iolanda at kth.se) - Alessandro Vinciarelli (Alessandro.Vinciarelli at glasgow.ac.uk) ---------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, 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 albagarciaseco at gmail.com Tue Mar 2 02:52:38 2021 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Tue, 2 Mar 2021 08:52:38 +0100 Subject: Connectionists: CFP: ImageCLEF 2021 Coral task: Training set released Message-ID: We are happy to announce that the *training data* for the ImageCLEFcoral task at CLEF 2021 has been released. The data is accessible through the crowdAI platform: - Coral reef image annotation and localisation: https://www.aicrowd.com/challenges/imageclef-2021-coral-annotation-and-l... - Coral reef image pixel-wise parsing: https://www.aicrowd.com/challenges/imageclef-2021-coral-pixel-wise-parsing Remember that only participants with signed End User Agreement (EUA) will have access to the data. For more details and updates, please visit the task website at: https://www.imageclef.org/2021/coral And join our mailing list: https://groups.google.com/forum/#!forum/imageclefcoral Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering (CSEE) University of Essex T +44 (0) 1206 872907 E alba.garcia at essex.ac.uk ? *https://www.essex.ac.uk/ * WE ARE ESSEX -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Tue Mar 2 03:45:45 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Tue, 2 Mar 2021 09:45:45 +0100 Subject: Connectionists: [2nd CFP] 26th International Conference on Conceptual Structures (ICCS 2021) at Bolzano Summer of Knowledge, Bolzano, Italy Message-ID: <96f56bd7-813f-630a-3721-5d8e7d3c6d50@cs.uni-kassel.de> [Apologies for multiple postings.] ************************************************************ 2nd Call for Papers: 26th International Conference on Conceptual Structures (ICCS 2021) September 20th-23rd, 2021, Bolzano, Italy Website: https://iccs-conference.org Twitter: @iccs_confs Contact us: contact at iccs-conference.org ************************************************************ *************** About ICCS: *************** The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge, at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science. The ICCS conferences evolved from a series of seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms are getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to its human users. This year ICCS 2021 is a part of ?Bolzano Summer of Knowledge? (BOSK 2021,https://summerofknowledge.inf.unibz.it/) which will take place in Bolzano, Italy during the month of September, 2021. Scholars, students and industry participants from different disciplines will meet for several weeks of conferences, workshops, summer schools, and public events, to engage with the broad topics, issues and challenges related to knowledge in the 21st century. Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI). All papers will receive mindful and rigorous reviews that will provide authors with useful critical feedback. The aim of the ICCS 2021 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems. The conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a modelling, theoretical and application viewpoint. ********** Topics: ********** Topics include but are not limited to: Existential and Conceptual Graphs Graph-based models for human reasoning Social network analysis Formal Concept Analysis Conceptual knowledge acquisition Data and Text mining Human and machine reasoning under inconsistency Human and machine knowledge representation and uncertainty Automated decision-making and argumentation Preferences Contextual logic Ontologies Knowledge architecture and management Semantic Web, Web of Data, Web 2.0 Conceptual structures in natural language processing and linguistics Metaphoric, cultural or semiotic considerations Constraint satisfaction Resource allocation and agreement technologies Philosophical, neural, and didactic investigations of conceptual, graphical representations ******************** Important Dates: ******************** - Abstract submission deadline: April 9th, 2021 - Full paper submission deadline: April 16th, 2021 - Poster submission deadline: April 16th, 2021 ? (Posters do not require advance abstract submission) - Paper Reviews Sent to Authors: May 28th, 2021 - Rebuttals Due: June 6th, 2021 - Notification to authors: June 6th, 2021 - Camera-ready papers due: June 25th, 2021 ******************** Submission Details: ******************** We invite scientific papers of up to *fourteen pages*, short contributions up to *eight pages* and extended poster abstracts of up to three pages. Papers and posters must be formatted according to Springer?s LNCS style guidelines and not exceed the page limit. Papers will be subject to *double-blind peer review*, in which the reviewers do not know the identity of authors, and the submission should be done via EasyChair https://easychair.org/conferences/?conf=iccs20211. All paper submissions will be refereed and authors will have the opportunity to respond to reviewers? comments during the rebuttal phase. Accepted papers will be included in the conference proceedings, which are will be published by Springer in the LNCS/LNAI series. Poster submissions will also be refereed but will not be included in the conference proceedings. At least one author of each accepted paper or poster must register for the conference and present the paper or poster there. Proceedings will be submitted for indexation by DBLP (cf https://dblp.org/db/conf/iccs/index.html). *************** Organizers: *************** General Chair: Tanya Braun, Institute of Information Systems, University of L?beck, Germany Program Chairs: Marcel Gehrke, Institute of Information Systems, University of L?beck, Germany Tom Hanika, Knowledge & Data Engineering, University of Kassel, Germany Nathalie Hernandez, Institut de Recherche en Informatique de Toulouse, France ***************************************** From aconst12 at cs.ucy.ac.cy Tue Mar 2 07:51:31 2021 From: aconst12 at cs.ucy.ac.cy (Argyris Constantinides) Date: Tue, 2 Mar 2021 14:51:31 +0200 Subject: Connectionists: Workshop on Adaptive and Personalized Privacy and Security (APPS 2021) - ACM UMAP Workshop Message-ID: Workshop on Adaptive and Personalized Privacy and Security (APPS 2021) - ACM UMAP Workshop CALL FOR PAPERS The Third International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 29th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021), Online from Utrecht, the Netherlands, June 21-25, 2021 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions in EasyChair by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=acmumap2021 IMPORTANT DATES Paper submission: March 26, 2021 (23:59 AoE time) Notification to authors: April 19, 2021 Camera-ready version of accepted papers: May 07, 2021 MOTIVATION & GOALS Millions of users across different continents and countries are daily engaged with privacy and security tasks which are indispensable in modern information systems and services. Such tasks are commonly related to user authentication, human interaction proofs (e.g., captcha), privacy and security pop-up dialogs, setting privacy and security features within online user profiles, etc. Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user?s physical, technological and interaction context in which computation takes place. APPS 2021 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2021 will be on challenges and opportunities related to the Covid-19 outbreak for ensuring privacy and security of users' interactions in online systems (like challenges for online distance learning, e-Government, e-Commerce, the need for touchless authentication, etc.). The workshop will address the following objectives: - increase our understanding and knowledge on supporting usable privacy and security interaction design through novel user modeling mechanisms and adaptive user interfaces; - discuss methods and techniques for understanding user attitudes and perceptions towards privacy and security issues in various application areas; - identify human-centered models for the design, development and evaluation of adaptive and personalized privacy and security systems; - discuss methods for evaluating the impact and added value of adaptation and personalization in privacy and security systems. TOPICS OF INTEREST Topics of interest include, but are not limited to: - Privacy and security in smart patient-centric healthcare systems - Adaptation and personalization approaches in usable privacy and security - Effects of human factors (e.g., cognition, personality, etc.) in privacy and security systems - Novel user interaction concepts and user interfaces for achieving usable security - Cultural diversity in usable privacy and security - Context-aware privacy and security - Adaptive usable security in various domains such as healthcare, IoT, automotive - Trust perceived in patient-centric healthcare systems - Perceived security and usability in patient-centric healthcare systems - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Lessons learned from the deployment and use of usable privacy and security features - Ethical considerations in adaptive and personalized privacy and security PAPER SUBMISSION & PUBLICATION All workshop papers must contain original, previously unpublished, research work adhering the two publication types: - Full research papers (10 pages, incl. references), proposing new approaches, innovative methods and research findings. - Short research papers (7 pages, incl. references), presenting works in progress, lessons learned, emerging or future research issues and directions on topics related to APPS. Manuscripts should be formatted according to the new workflow and template for ACM publications (https://www.acm.org/publications/taps/word-template-workflow ). Please submit your paper through the EasyChair submission system by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=acmumap2021 Accepted papers will be published by the ACM and will be available via the ACM Digital Library. ORGANIZING COMMITTEE Argyris Constantinides, Cognitive UX LTD, CY & University of Cyprus, CY Marios Belk, Cognitive UX GmbH, DE & University of Cyprus, CY Christos Fidas, University of Patras, GR Juliana Bowles, University of St. Andrews, UK Andreas Pitsillides, University of Cyprus, CY -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Tue Mar 2 05:34:27 2021 From: calendarsites at insticc.org (uo mktg calendar sites) Date: Tue, 2 Mar 2021 02:34:27 -0800 Subject: Connectionists: [CFP] 18th International Conference on Signal Processing and Multimedia Applications Message-ID: <990927eb327b403cb1dee9072c70aac7@insticc.org> CALL FOR PAPERS 18th International Conference on Signal Processing and Multimedia Applications New Submission Deadline: March 08, 2021 http://www.sigmap.org ; July 06 - 08, 2021 Online Streaming Due to many requests, the regular papers submission deadline of this conference has been extended. The purpose of SIGMAP 2021, the International Conference on Signal Processing and Multimedia Applications, is to bring together researchers, engineers and practitioners interested on information systems and applications, including theory and practice in various heterogeneous and interrelated fields including image, video and audio data processing, new sources of multimodal data (text, social, health, etc.) and Multimedia Applications related to representation, storage, authentication and communication of multimedia information. Multimedia is a research field that includes computing methods in which different modalities are integrated and combined, with the aim to take advantage from each data source. SIGMAP is organized in 6 major tracks: 1 - Multimedia Networking and Communication 2 - Multimedia Signal Processing 3 - Multimedia Systems and Applications 4 - Multimedia and Deep Learning 5 - Multimedia Indexing and Retrieval 6 - Social Multimedia Conference Chair(s) Andrew Sung, University of Southern Mississippi, United States Program Chair(s) Simone Santini, Universidad Aut?noma de Madrid, Spain With the presence of internationally distinguished keynote speakers: Amarnath Gupta, University of California San Diego, United States Henning Schulzrinne, Columbia University, United States Proceedings will be submitted for indexation by: SCOPUS Google Scholar The DBLP Computer Science Bibliography Semantic Scholar Microsoft Academic Engineering Index (EI) Web of Science / Conference Proceedings Citation Index A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book. Also, a short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Kind regards, M?nica Saramago SIGMAP Secretariat Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal Tel: +351 265 520 185 Web: http://www.sigmap.org e-mail: sigmap.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.reske at fz-juelich.de Tue Mar 2 08:34:08 2021 From: m.reske at fz-juelich.de (Martina Reske) Date: Tue, 2 Mar 2021 14:34:08 +0100 Subject: Connectionists: Job Opening in Juelich, Germany: Postdoc in Computational Neuroscience - Priority Program 2041Computational Connectomics Message-ID: The Institute of Neuroscience and Medicine (INM) at the J?lich Research Center in Germany investigates the structure and function of the brain. The subinstitute INM-6 consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Priority Program "Computational Connectomics" is a Germany-wide collaboration aiming at comprehensive descriptions of neuronal network connectivity and insight into its relationships to brain dynamics and function. The candidate will strengthen our team in the project ?Cellular, connectional and molecular heterogeneity in a large-scale computational model of the human cerebral cortex?, which is embedded in the context of the Priority Program. It will be supervised by Prof. Sacha van Albada and is a collaboration with Dr. Alexandros Goulas (UKE Hamburg) and Dr. Timo Dickscheid (INM-1, J?lich Research Center). This collaboration links cytoarchitecture (Dr. Dickscheid) to connectomics (Dr. Goulas) and finally cortical network dynamics (Prof. van Albada). Simulations using the neural network simulation tool NEST on the J?lich supercomputers provide the unique opportunity for investigating spiking cortical models at the full density of neurons and synapses. We are looking to recruit a Postdoc in Computational Neuroscience - Priority Program 2041 Computational Connectomics Your Job: * Extending and refining a large-scale spiking neural network model of human cerebral cortex * Investigating the origins of area- and layer-specific cortical timescales and oscillations * Supervising PhD and Master students * Maintaining active collaborations with project partners * Writing, documenting, and publishing high-quality simulation, analysis, and visualization scripts * Presenting project results at national and international conferences * Publishing project results in peer-reviewed international journals Your Profile: * Completed study (Master) in natural sciences, computer science or mathematics * PhD in computational neuroscience * Extensive experience with neural network simulations and analytical mean-field theory * Excellent knowledge of cortical anatomy and physiology * Structured and organized style of working * Fluent in English, spoken and written * Ability to work independently * Good social and student supervision skills * Willingness to travel 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: * 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 * Full-time position with the option of slightly reduced working hours 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 1 year, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TV?D). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13 TV?D-Bund. Forschungszentrum J?lich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. Please apply via our online recruiting system, quoting the reference number 2021-091. 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From thanh.dinhvan at gmail.com Tue Mar 2 09:53:15 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Tue, 2 Mar 2021 21:53:15 +0700 Subject: Connectionists: [CFP] 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) Message-ID: <660d0044-ce96-0a47-22c5-8b15670c8651@gmail.com> CALL FOR PAPERS 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam -> see note below about remote participation https://kr2021.kbsg.rwth-aachen.de Knowledge Representation and Reasoning (KR) is a well-established and lively field of research. In KR a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems. Consequently, KR has contributed to the theory and practice of various areas in AI, including automated planning and natural language understanding, and to fields beyond AI, including databases, verification, software engineering, and robotics. In recent years, KR has contributed also to new and emerging fields, including the semantic web, computational biology, cyber security, and the development of software agents. The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. ** SCOPE ** We solicit papers presenting novel results on the principles of KR that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show clear use of, or contributions to, the principles or practice of KR. Topics of interest include, but are not limited to: - Applications of KR - Argumentation - Belief revision and update, belief merging, information fusion - Commonsense reasoning - Computational aspects of knowledge representation - Concept formation, similarity-based reasoning - Contextual reasoning - Decision making - Description logics - Explanation finding, diagnosis, causal reasoning, abduction - Geometric, spatial, and temporal reasoning - Inconsistency- and exception-tolerant reasoning, paraconsistent logics - KR and autonomous agents and multi-agent systems - KR and cognitive robotics - KR and cyber security - KR and education - KR and game theory - KR and machine learning, inductive logic programming, knowledge acquisition - KR and natural language processing and understanding - KR and the Web, Semantic Web - Knowledge graphs and open linked data - Knowledge representation languages - Logic programming, answer set programming - Modeling and reasoning about preferences - Multi- and order-sorted representations and reasoning - Nonmonotonic logics, default logics, conditional logics - Ontology formalisms and models - Ontology-based data access, integration, and exchange - Philosophical foundations of KR - Qualitative reasoning, reasoning about physical systems - Reasoning about actions and change, action languages - Reasoning about constraints, constraint programming - Reasoning about knowledge, beliefs, and other mental attitudes - Uncertainty, vagueness, many-valued and fuzzy logics The KR2021 program will also feature workshops and tutorials, solicited by means of an open call, as well as a doctoral consortium. ** TRACKS AND SPECIAL SESSIONS ** In addition to the main conference track, KR2021 will host the following tracks and sessions: * Applications and Systems Track * Recently Published Research Track * Special Session on KR and Machine Learning * Special Session on KR and Robotics ** IMPORTANT DATES ** Submission of title and abstract:???? March 24, 2021 Paper submission deadline:????????? March 31, 2021 Author response period:???????? May 24-26, 2021 Notification:???????????????? June 15, 2021 Camera-ready papers:???????????? July 14, 2021 Conference dates:???????????? November 6-12, 2021 The Recently Published Research track, workshops, tutorials, and the doctoral consortium have different submission and notification dates, which are listed on the conference website. **AUTHOR GUIDELINES AND SUBMISSION INFORMATION** All submissions must be written in English and formatted using the style files provided on the KR'21 website. Papers must be submitted in PDF format, through the EasyChair conference system: https://easychair.org/conferences/?conf=kr2021 For the main conference track and additional tracks/sessions (except for the Recently Published Research track), we invite - Full papers of up to 9 pages, including abstract, figures, and appendices ? (if any), but excluding references and acknowledgements. - Short papers of up to 4 pages, excluding references and acknowledgements. Both full and short papers must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings, and to papers uploaded at public repositories (e.g., arXiv). Accepted full papers and short papers will be published in the KR2021 proceedings. Authors may optionally submit a separate PDF containing additional information that substantiates the claims made in their paper, such as proof details, additional experimental results, further details on experimental design, etc. If authors wish to make such material available to reviewers, they should do so by submitting a file through EasyChair, rather than by including links or references in their paper. Please note that the main paper must be self contained, as the supplementary material will not be published. Moreover, reviewers will have the option but not the obligation to consult the supplementary material. The preceding submission guidelines apply to the main track, as well as to the Applications and Systems track, the KR & Machine Learning special session, and the KR & Robotics special session. By contrast, different submission guidelines apply to the Recently Published Research track, workshops, tutorials, and the doctoral consortium, please consult the KR21 website for further information. ** REMOTE PARTICIPATION DUE TO COVID-19 PANDEMIC ** We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing authors of accepted papers to present virtually and will work hard to enable the best possible experience for all conference participants. ** CONFERENCE CHAIRS ** General: ?? Esra Erdem (Sabanci University, Turkey) Program: ?? Meghyn Bienvenu (CNRS & University of Bordeaux, France) ?? Gerhard Lakemeyer (RWTH Aachen University, Germany) Applications and Systems Track: ?? Martin Gebser (University of Klagenfurt, Austria) ?? Ulrike Sattler (University of Manchester, UK) Recently Published Research Track: ?? Vladimir Lifschitz (University of Texas at Austin, USA) ?? Pierre Marquis (Artois University & Institut Universitaire de France, France) Special Session on KR & Machine Learning: ?? Vaishak Belle (University of Edinburgh, UK) ?? Luc de Raedt (KU Leuven, Belgium) Special Session on KR & Robotics: ?? Alessandro Saffioti (University of ?rebro, Sweden) ?? Mary-Anne Williams (University of Technology Sydney, Australia) Workshop and Tutorials: ?? Markus Kroetzsch (TU Dresden, Germany) ?? Yongmei Liu (Sun Yat-sen University, China) Doctoral Consortium: ?? Jens Classen (Simon Fraser University) ?? Magdalena Ortiz (TU Vienna, Austria) Local Organization: ?? Giuseppe De Giacomo (Sapienza University, Italy) ?? Son Tran (New Mexico State University, USA) ?? Long Tran-Thanh (University of Warwick, UK) ?? Thanh Van Dinh (East Asia University of Technology, Vietnam) Virtual Conference Arrangements: ?? Stefan Borgwardt (TU Dresden, Germany) ?? Marco Console (Sapienza University Italy) ?? Long Tran-Thanh (University of Warwick, UK) Sponsorship: ?? Kuldeep S. Meel (NUS, Singapore) ?? Zeynep G. Saribatur (TU Wien, Austria) Publicity: ?? Thanh Van Dinh (East Asia University of Technology, Vietnam) ?? Paolo Felli (Free University of Bozen-Bolzano, Italy) From thanh.dinhvan at gmail.com Tue Mar 2 09:47:52 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Tue, 2 Mar 2021 21:47:52 +0700 Subject: Connectionists: Call For Tutorial And Workshop Proposals Message-ID: <8455c518-90da-af22-207a-d9202dde6bd7@gmail.com> Call For Tutorial And Workshop Proposals 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de The 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021) solicits proposals for its tutorial and workshop programme. Tutorials and workshops will be held on the days of 6-8 November 2021, prior to the KR main technical program. The attendance of tutorials is complimentary to all KR registered participants. Workshop attendance will be subject to payment of a workshop fee, which is separate from that of the main conference. ** Submission Requirements for Tutorial Proposals ** KR tutorials are half-day or (exceptionally) full-day events that introduce general or special topics in KR and relevant neighboring areas. They can be first introductions to an established area or an emerging field, but also advanced courses on specialised methods or new approaches. The content should be adequately established and balanced, and not be limited to advertising an individual research work or product. A focus on specific tools and methodologies can still be useful to offer concrete examples and hands-on activities to participants. Each tutorial proposal should contain the following information: - Short title, presenters and proposed length (half-day is recommended, but an argument can be made for a full-day tutorial) - A half-page introduction to the tutorial's subject and relevance to KR - A half-page on the target audience, prerequisite knowledge, and learning goals - One page outline of the tutorial contents and intended structure - A brief resume of each presenter including name, affiliation, email address, ? and evidence of scholarship in the area, mentioning relevant publications or ? professional experience The main duties of the tutorial organizers are: - Setup a web-page for the tutorial, which should at least include the ? information from the proposal, tutorial materials and related references. - Deliver the tutorial at KR 2021. Virtual presentation will be allowed. Each accepted tutorial will entitle a discount on the KR registration fee for one tutorial presenter. ** Submission Requirements for Workshop Proposals ** Workshops provide a place to exchange ideas in emerging fields in KR research and application. They can take many forms, including mini-conferences (with peer-reviewed publications), competitions, working sessions (discussions, hackathons, etc.), line-ups of invited contributions, or a mix of these. Innovative formats are welcome, but organizers must provide means of estimating attendance and required length up-front (by number of submissions, invited speakers, or early registered participants). Workshop proposals can use up to 4 pages, which should include the following information: - Title and acronym of the workshop, - Workshop description: goals, format, and expected activities during the ? workshop; proposed duration (half day, one day, ...), - Audience: target audience, research groups in the area, planned or confirmed ? speakers, expected number of submissions/participants, - Related events: history of the workshop (if applicable), relationship to ? recent similar events, - Tentative list of PC members with their respective affiliations, - A brief resume of each organizer including name, affiliation, contact ? details, and evidence of scholarship in the area, mentioning relevant ? publications or professional experience. - Appendix: Tentative call for contributions The main duties of the chair of each accepted workshop are: - Set up a webpage for the workshop, - Advertise the workshop and distribute its call for papers/participation, - Coordinate the peer-reviewing of submitted contributions, - If workshop proceedings are desired, it is the duty of the organizers to ? produce and distribute their workshop proceedings, - Organize a schedule for the workshop in collaboration with the local ? organizers and the KR workshop co-chairs, and - Coordinate and moderate the workshop participation and content. We do not require workshop organizers to commit to physically attending the conference and will work with them to find a suitable (hybrid or fully virtual) format for each workshop. Each accepted proposal will be waived two workshop registrations to be used at the discretion of the organisers (e.g., to cover the registration of an invited speaker). KR reserves the right to cancel a workshop if it does not have enough participants to cover its running costs. ** Submission Instructions ** Each proposal (tutorial or workshop) should be in English and must be submitted electronically to the Workshop and Tutorial track of KR 2021 via EasyChair: https://easychair.org/conferences/?conf=kr2021 For all accepted proposals, KR will take care of all local and/or virtual arrangements. ** Important Dates ** Proposal submission deadline: 17 March 2021 Notification: 20 April 2021 Workshop paper submission deadline: 2 July 2021 Workshop paper notification: 6 August 2021 Workshop registration deadline: TBA Tutorial and workshop dates: 6-8 November 2021 ** Remote Participation Due to Covid-19 Pandemic ** We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing tutorial and workshop presenters to present remotely, and we will work with workshop organizers to find a suitable (hybrid or fully virtual) format for each workshop. Inquiries should be sent by email to the KR 2021 Tutorial and Workshop Chairs: Markus Kr?tzsch and Yongmei Liu kr21-workshops-tutorials at easychair.org From ioannakoroni at csd.auth.gr Wed Mar 3 01:46:38 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 3 Mar 2021 08:46:38 +0200 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Bj=C3=B6rn_Sc?= =?utf-8?q?huller=3A_=27There_will_be_Artificial_Emotional_Intellig?= =?utf-8?q?ence=E2=80=99=2C_9th_March_2021_17=3A00-18=3A00_CET=2E_U?= =?utf-8?q?pcoming_AIDA_AI_excellence_lectures?= References: <074d01d70b50$5c815cf0$158416d0$@csd.auth.gr> Message-ID: <05f801d70ff8$f676b600$e3642200$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Bj?rn Schuller (California Institute of Technology), a prominent AI researcher internationally, will deliver the e-lecture: ?There will be Artificial Emotional Intelligence?, on Tuesday 9th March 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/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/91839826029 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , Vision, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Andreas Geiger, ?Towards Robust End-to-End Driving?, 23rd March 2021 17:00 ? 18:00 CET More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, N. Sebe, B. O?Sullivan, 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 scholarshipchile at gmail.com Tue Mar 2 12:59:32 2021 From: scholarshipchile at gmail.com (Chilean Scholar) Date: Tue, 2 Mar 2021 17:59:32 +0000 Subject: Connectionists: CFP: Special Track on AI for Tackling Dis/Misinformation during Pandemics @ ACM GoodIT2021 In-Reply-To: References: Message-ID: Call For Papers: Special Track on AI for Tackling Dis/Misinformation during Pandemics In conjunction with the ACM International Conference on Information Technology for Social Good (GoodIT 2021) The GoodIT conference is sponsored by ACM SIGCAS, the Association for Computing Machinery's Special Interest Group on Computers & Society. The conference focuses on the application of IT technologies to social good. The Special Track on AI for Tackling Dis/Misinformation during Pandemics focuses on new data technologies based on artificial intelligence, data governance, machine learning, natural language processing, and social network analysis to aid experts in analyzing large volumes of social media data in order to detect fake news, misinformation, and disinformation. A number of open challenges need more investigation from the research community, such as recent trends in composing information disorder by combining false and real content, the mechanisms that drive fake content diffusion during pandemics, how to differentiate fake content from personal viewpoints, why people tend to believe fake content and make decisions based on it during pandemics, and what are the different motivations behind the dissemination of fake content. Fact-checking and claim verification are two important strategies that are worth incorporating in the automated tackling and curtailment of fake content during and after pandemics. ************ Key Dates ************ Papers Submission Due: May 1, 2021 Authors Notifications: June 22, 2021 Final Manuscript Due: July 10, 2021 GoodIT 2021: September 09-11, 2021 ************ Important Links ************ Special Track Website: https://aitdmp.conceptechint.net Submission Link: https://goodit2021.hotcrp.com/ ************ Submission Guidelines ************ All submissions will be reviewed using a single-blind review process. The identity of referees will not be revealed to authors, but authors can keep their names on the submitted papers, on figures, bibliography, etc. Papers should not exceed 6 pages (US letter size) double column including figures, tables, and references in standard ACM format. Papers must be submitted electronically in printable PDF form. Templates for the standard ACM format can be found here: https://www.acm.org/publications/proceedings-template No changes to margins, spacing, or font sizes are allowed from those specified by the style files. Papers violating the formatting guidelines will be returned without review. ACM has partnered with Overleaf, a free cloud-based, collaborative authoring tool, to provide an ACM LaTeX authoring template. The ACM LaTeX template on Overleaf platform is available to all ACM authors at: www.overleaf.com/gallery/tagged/acm-official Accepted papers will be included in the ACM Digital Library. Special issues associated with the conference are being organized. ************ Topics ************ Papers on practical as well as on theoretical topics and problems in various topics related to rumors, fake news, misinformation, and disinformation during and after pandemics, are invited, with special emphasis on novel techniques and tools for automated tackling and curtailment of fake content during and after pandemics. Topics include (but are not limited to): -AI approaches for the detection of online influence and manipulation -AI approaches to identify misinformation and disinformation campaigns -AI approaches for spotting misinformation and disinformation spreaders. -Social media mining for automated detection of misinformation propagation and disinformation circulation -AI approaches for automated identification and verification of claims -AI approaches for intention detection for misinformation and disinformation contents -AI approaches for credibility assessment of Social media sources -AI approaches for fake news curtailment, filtering and prevention. -AI approaches for analysis/detection of distributed and multi-platform misinformation and disinformation disseminations -AI approaches for predicting the Impact of misinformation and disinformation during pandemics -New datasets and evaluation methodologies to aid in automated detection and analysis of misinformation and disinformation content in social media channels **********The Conference Sponsored by********** Association for Computing Machinery's Special Interest Group on Computers & Society http://www.sigcas.org/ From h.bilen at ed.ac.uk Wed Mar 3 03:52:16 2021 From: h.bilen at ed.ac.uk (Hakan Bilen) Date: Wed, 3 Mar 2021 08:52:16 +0000 Subject: Connectionists: Postdoc in Computer Vision and Machine Learning in University of Edinburgh In-Reply-To: <322957f0-1dd5-1140-526a-4ef7798f79f7@ed.ac.uk> References: <322957f0-1dd5-1140-526a-4ef7798f79f7@ed.ac.uk> Message-ID: <27870962-35f8-c109-147f-c20609c49617@ed.ac.uk> Dear colleagues, Apologies for cross postings. We are looking for creative and motivated postdoc candidates in Computer Vision to join Dr Bilen's research group in the School of Informatics, the University of Edinburgh. The position is are for two years with a possible further extension. The research project focuses weakly supervised learning methods in computer vision from multi-modal inputs such as video and audio-streams. The project is a part of a larger and prestigious EPSRC program grant and involves collaboration with the University of Oxford and Bristol. Essential requirements are: PhD in Computer Vision, Machine Learning, or closely related area, Strong publication record at top computer vision and/or machine learning conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) and journals (PAMI, IJCV), Ability to work independently and manage own academic research and associated activities, Highly motivated and willing to work with PhD students, Proficient in English, both written and spoken. Interested candidates should provide a CV with your publication list and a brief statement of research interests (describing how past experience and future plans fit with the advertised position) before 9 April 2021. All documents should be in electronic format and sent via e-mail to Dr Hakan Bilen with the title [Prospective Postdoc] as soon as possible (Email: hbilen at ed.ac.uk). Hakan Bilen The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at ai.vub.ac.be Wed Mar 3 08:10:14 2021 From: bart at ai.vub.ac.be (Bart de Boer) Date: Wed, 3 Mar 2021 14:10:14 +0100 Subject: Connectionists: Lecturer/Senior Lecturer/Professor of Computer Science, , specialising in computational, user-oriented data processing and discovery at VUB AI lab Message-ID: [Please excuse cross-posting.] The Vrije Universiteit Brussel?s Artificial Intelligence Lab (ai.vub.ac.be ) is seeking an energetic new member, to broaden our research into applied data science. We are looking for an excellent scientist, at any academic career stage, to set up a new research focus in this area. The full-time role is associated with a new Data Science option in our Master?s programme. We believe in equal opportunities and we particularly welcome applications from women. Full details are below. Alternatively, you can find online information, at https://academicpositions.com/ad/vrije-universiteit-brussel/2021/professor-computer-science/155087 . You can email informal enquiries to Prof. Ann Now?, Head of the AI Lab: ann.nowe at ai.vub.ac.be, or any of the AI lab professors, (see https://ai.vub.ac.be ) Closing date: 09/04/2021 ============================ Lecturer/Senior Lecturer/Professor of Computer Science specialising in computational, user-oriented data processing and discovery The Vrije Universiteit Brussel For more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equal opportunities and solidarity. We nurture a vibrant, close-knit community on our four campuses, supporting a diverse collection of personalities: pure-blood innovators, but, above all, people who are free to be 100% themselves. With about 3,500 employees, we are the largest Flemish-speaking employer in Brussels, an international city with which we are only too happy to connect and throughout which our campuses are dispersed. Our work, in both teaching and research, is based on the principle of free inquiry for the advancement of humanity. We reject any ?mere authority? argument and actively promote the free judgment that is necessary for the social integration of this basic principle. The VUB is autonomous and democratically managed. Thus, the University's policy may be implemented and controlled, but the right of the University Community to be part of that policy is actively upheld. The University's mission includes: ????????? ? ? ? development, transmission and application of high-quality academic teaching and research, free from any bias; ????????? ? ? ? the social integration of these efforts in a spirit of social concern; ????????? ? ? ? to support the critical formation of everyone in the context of the local and world community. The Post Research We seek candidates, at all career stages, with strong academic research expertise in one or more of the following disciplines in computational, user-oriented data processing and discovery: exploratory search; complex data exploration and analysis; machine learning for big data; and / or interactive data processing. The VUB is an equal-opportunity employer, and candidates will be selected strictly on merit. We particularly encourage applications from women. You will be able to demonstrate experience appropriate to your career stage in the engineering of next-generation intelligent data analysis systems. You will do so preferably through a broad portfolio of contributions to both fundamental and more applied research, with a funding record where appropriate. You will be expected to help develop the research of the Department of Computer Science (http://we.vub.ac.be/en/computer-science-department) by initiating and conducting research in data-analysis that is related, but complementary, to the research that is ongoing within the Department, and in the Artificial Intelligence Laboratory, of which you will be a member. Current related research within the Department includes: multi-agent systems, knowledge representation, emergent communication and language, computational creativity and machine learning at the AI Lab (ai.vub.ac.be); programming languages, frameworks and tools for distributed data-intensive systems at the Software Language Lab; and human-data interaction at the Web and Information Systems Lab. Teaching Your teaching assignment will include general undergraduate computer science courses and specialized, research-related master's courses. Teaching load in the Department is shared equitably among teaching-active colleagues, according to full-time equivalence. Your expected full-time equivalent teaching assignment will comprise four courses of 6 ECTS credits per year, including a new speciality course related to your research interests. Teaching assistants are provided for all courses. You will be expected to contribute actively to the development of our new programme specialization, Data Management and Analytics, in the Department?s 2-year Master Computer Science (http://we.vub.ac.be/en/master-computer-science). You will be expected to endorse and abide by the university's educational vision (full text can be consulted on the university's website). Other You will be expected to engage with the general administration and development of the Department as specified by the University for the various academic degrees. This includes supervising and advising doctoral and master?s students as well as applying for and obtaining funding for new research projects. Candidate profile Your application for this role will be considered in terms of the following dimensions. ????????? ? ? ? Diploma or PhD in Computer Science based on an original dissertation. ????????? ? ? ? A strong academic record with a strong publication list demonstrating your expertise in the defined domain. Expected publishing platforms include: ICML, ECML / PKDD, SIGKDD, JMLR, Int. J. Data Sci. Anal., etc. ????????? ? ? ? For the level of lecturer, some experience in supervising doctoral and master?s students, and in research management. Potential to apply for and obtain funding for new research projects. ????????? ? ? ? For the level of senior lecturer/associate professor or higher, proven, extensive experience in supervising doctoral and master's students, and research management, and a track record in project acquisition. ????????? ? ? ? The interview process will include the presentation of an example lecture, on a subject to be specified in advance by the search committee. ????????? ? ? ? Members of the academic staff who, as lecturers, are charged with a teaching assignment must be able to demonstrate the required level in the teaching language of the relevant courses. For example: if a course is taught in English, the lecturer must have the required qualification certificate, or be a native English speaker. More information about the language scheme can be found via: https://jobs.vub.be/content/Taalregeling/ . If you do not have such a qualification, you will be asked to complete it within a specific stated period; the VUB offers its staff language high-quality courses for this purpose. Terms Your appointment will be to one of the grades of the Independent Academic Personnel (ZAP: docent, hoofddocent, hoogleraar, gewone loogleraar). In the case of appointment to the base lecturer grade (docent), this takes place in accordance with the tenure track system, specified in the Articles of the VUB: appointment for 5 years with the prospect of a permanent appointment as senior lecturer after the expiry of that term and subject to a favourable assessment during the orientation and integration period. In case of appointment to a higher grade: appointment for 3 years with the prospect of a permanent appointment in the same grade after the expiry of that term and subject to a favourable assessment of the orientation and integration period. Applications may be submitted ON LINE ONLY. Your application should include at least the following appendices: ????????? ? ? ? a brief CV/resum? ????????? ? ? ? your academic record with all relevant elements ????????? ? ? ? your vision on education & research and mention of the five most important publications (for postdoc positions) ????????? ? ? ? a concise motivation for your application, including an explanation of your ambitions for development of your future research ????????? ? ? ? diplomas. -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Wed Mar 3 12:05:32 2021 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Wed, 3 Mar 2021 18:05:32 +0100 Subject: Connectionists: Postdoc / Project Manager position for Human Centered AI with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany Message-ID: <20210303170532.GJ27738@curry> ______________________________________________________________________________ Open position for a postdoc / project manager in the field of AI in the work sciences with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ______________________________________________________________________________ University: The Ruhr-University Bochum (RUB, https://www.ruhr-uni-bochum.de/en) is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: The Institute for Neural Computation (INI, https://www.ini.rub.de/) is a central research institute at the Ruhr-University Bochum. It focuses on the self-organization of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Chair: Prof. Dr. Laurenz Wiskott, "Theory of Neural Systems" (https://www.ini.rub.de/research/groups/theory_of_neural_systems/) Position: The position as a postdoc / project manager is on a salary level 100% TVL E14, and the appointment is for 4 years starting 1.4., with the option to become permanent upon success. Context: The project is part of the competence center HUMAINE (to be founded) for AI in the work sciences and will be developed in close collaboration with colleagues at the RUB and application partners in industry, among others. Tasks: * Cooperative development and coordination of a transfer-HUB of the to-be-founded competence center HUMAINE (human centered AI network) at the Ruhr-University Bochum. * Acquiring and maintaining industry contacts. * Scientific advice for companies to help them introduce AI in work processes. * Acquiring and coordinating grant projects for advancing AI in work processes. * Advising corresponding PhD and student projects. * Coordination and maintenance of the corresponding publicly available software. * Coordination and teaching of advanced training courses about human centered AI for developers and decision makers in industry. Requirements: * PhD in mathematics, computer science, engineering, or a related field. * Solid knowledge in Artificial Intelligence / Machine Learning. * Good organizational and communicative abilities. * Good command of German. Advantageous: * Experience with agile project management. * Experience in industry cooperations. * Experience in interdisciplinary projects. * Good programming and mathematical skills. * Programming skills in Python. We offer: * An interesting interdisciplinary environment in the field of Artificial Intelligence / Machine Learning. * Opportunity to develop an independent research profile. * Opportunity to pursue further scientific qualification. * Diverse and interesting contacts at the university, in transfer, and in industry. * A lot of room for own ideas and initiatives in developing the transfer-HUB. Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott . Travel expenses for interviews cannot be refunded. Equal opportunity: Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. See also: https://www.stellenwerk-bochum.de/jobboerse/best-nr-556904-wiss-mitarbeiter-mwd-4-jahre-3983-stdwo-210212-449651 From p.gleeson at ucl.ac.uk Wed Mar 3 14:21:31 2021 From: p.gleeson at ucl.ac.uk (Padraig Gleeson) Date: Wed, 3 Mar 2021 19:21:31 +0000 Subject: Connectionists: Announcing 3 NeuroML hackathon sessions at HARMONY 2021 Message-ID: <7c040138-5e38-2a7f-5c41-5cd059784983@ucl.ac.uk> *[Apologies for cross-posting]* ** ** *We will be running 3 online NeuroML hackathon sessions during the upcoming HARMONY 2021 meeting on 23-25th March. * ** ** *The general theme of the sessions will be: Learn to build, visualise, analyse and simulate your models using NeuroML.* * Why take part? These hackathons will give members of the modelling community the chance to: * Get high level introductions to the NeuroML language and toolchain * Meet the NeuroML core development team and editors * Find out the latest information on which simulators/applications support NeuroML * Open, discuss and work on issues related to converting your model to NeuroML, or supporting NeuroML in your simulator * Learn how to share your models with the community Times and dates All sessions will be online and take place over 3 hours (9am-noon Pacific; 12-3pm EST time; 4-7pm UK/UTC; 5-8pm CET, 9:30pm-12:30am IST; note non-standard US/EU time differences that week). The broad focus of each of the sessions (dependent on interests of attendees) is: **Tues 23rd March: Introduction to NeuroML, general questions about usage **Wed 24th March: Detailed cell/conductance based models (e.g. converting channels to NeuroML) **Thus 25th March: Abstract/point neuron networks including PyNN interactions Registration To take part in the hackathon, please register at http://co.mbine.org/events/HARMONY_2021 for the HARMONY meeting (registration is free). You will get sent details to access the agenda on https://harmony2021.sched.com, which will have links to the Zoom sessions for each of the days. Open an issue beforehand! While it will be possible to raise and discuss new issues at the hackathons, it will be easier to manage and plan work/discussions if you open an issue with a description of the problem you are trying to address at: https://github.com/NeuroML/NeuroML2/issues . Slack To aid communication with the community during (and after) the meeting, we have a Slack channel for NeuroML related discussions. Please reply to this mail for an invite. We look forward to working with the community to drive further uptake of NeuroML compliant models and tools! * ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson at ucl.ac.uk ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From benjamin.lindner at physik.hu-berlin.de Thu Mar 4 01:45:59 2021 From: benjamin.lindner at physik.hu-berlin.de (Benjamin Lindner) Date: Thu, 4 Mar 2021 07:45:59 +0100 Subject: Connectionists: New issue of Biological Cybernetics Vol 114 No 6 Message-ID: We are pleased to? announce a new issue of *Biological Cybernetics*. Volume 114 Number 6 In this issue Original Article The roles of ascending sensory signals and top-down central control in the entrainment of a locomotor CPG Marcello?G.?Codianni, Silvia?Daun & Jonathan?E.?Rubin ? Abstract ? Full text PDF Original Article Control for multifunctionality: bioinspired control based on feeding in /Aplysia californica/ Victoria?A.?Webster-Wood, Jeffrey?P.?Gill, Peter?J.?Thomas & Hillel?J.?Chiel ? Abstract ? Full text PDF Original Article Analysis of neural clusters due to deep brain stimulation pulses Daniel?Kuelbs, Jacob?Dunefsky, Bharat?Monga & Jeff?Moehlis ? Abstract ? Full text PDF Original Article On the rate coding response of peripheral sensory neurons Willy?Wong ? Abstract ? Full text PDF Original Article A feedback information-theoretic transmission scheme (FITTS) for modeling trajectory variability in aimed movements Julien?Gori & Olivier?Rioul ? Abstract ? Full text PDF Original Article Importance of self-connections for brain connectivity and spectral connectomics Xiao?Gao & P.?A.?Robinson ? Abstract ? Full text PDF Original Article Optimizing enzymatic catalysts for rapid turnover of substrates with low enzyme sequestration Abhishek?Deshpande & Thomas?E.?Ouldridge ? Abstract ? Full text PDF -- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics BCCN Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 82492 (new number!!) Physics Dep. Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.412, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From jochem.rieger at uni-oldenburg.de Thu Mar 4 05:52:13 2021 From: jochem.rieger at uni-oldenburg.de (Jochem Rieger) Date: Thu, 4 Mar 2021 11:52:13 +0100 Subject: Connectionists: research fellow: open and reproducible science core facility Message-ID: We have an open research fellow position (salary at post-doctoral level) for 3+2 years at the Neuroimaging Unit of Uni Oldenburg for the development of tools and infrastructure? for open data data and reproducible science based on the BIDS standard. The position complemented by a full time technician position for support. The announcement is below. Please contact me if you have questions. The application deadline is March 12th We are looking forward to applications, ????? Jochem *Scientific Research Associate m/f/d* *(Salary level E13 TVL, 100%)* ** for the development of acquisition, storage and processing pipelines for open and reproducible science building on the BIDS standard. In a newly funded project we aim to implement data storage and processing pipelines for open and reproducible science based on the BIDS standard. The successful candidate is expected to actively contribute to the implementation of neuroscience data acquisition, storage, and reproducible analysis pipelines building on the BIDS standard at the University of Oldenburg, to contribute to community efforts and dissemination. 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, e.g. 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 knowlegde of German are desirable. The position is embedded in a DFG Core Facility grant and is availableas soon as possibleuntil30^th of September^.2023 (with the possibility to extend another two years after successful project evaluation). 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 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. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany (jochem.rieger at uol.de ). Electronic applications (*one*pdf file) are preferred. For inquiries please use the same contact. The application deadline is*12^th of**March 2021*. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology head of Neuroimaging Unit 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 helena at incf.org Thu Mar 4 07:23:13 2021 From: helena at incf.org (Helena Ledmyr) Date: Thu, 4 Mar 2021 13:23:13 +0100 Subject: Connectionists: INCF Assembly 2021: abstract submission open! Message-ID: Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program covering different aspects of FAIR neuroscience! Abstract submission is open until March 31, and registration will open in late March. Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here - one year costs 20 USD for students and postdocs, and 50 USD for regular members. The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online in April! ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Thu Mar 4 08:11:21 2021 From: alessandra.sciutti at gmail.com (Alessandra) Date: Thu, 4 Mar 2021 14:11:21 +0100 Subject: Connectionists: Last call for papers and Annoucement of the Keynote Speakers for the IEEE International Conference on Development and Learning ICDL 2021, (11th edition of the ICDL-EPIROB Conference). Message-ID: <00a301d710f7$df7767b0$9e663710$@gmail.com> The deadline for papers and workshops submission is approaching: March 15th, 2021. Don't miss the opportunity to contribute to the IEEE International Conference on Development and Learning and to discuss with our Keynote Speakers: * Prof. Zhengyou Zhang, Distinguished Scientist and the Director of Tencent AI Lab and Robotics X, Tencent China. His research interests include Artificial intelligence; Robotics; Computer vision; Speech recognition; Multimedia systems; Signal processing; Developmental learning. https://en.wikipedia.org/wiki/Zhengyou_Zhang * Prof. Jun Tani, Okinawa Institute of Science and Technology, Okinawa, Japan. His current research interests include cognitive neuroscience, developmental psychology, phenomenology, complex adaptive systems, and robotics. https://groups.oist.jp/cnru/jun-tani * Prof. Dana Kulic, Monash University, Australia. She develops autonomous systems that can operate in concert with humans, using natural and intuitive interaction strategies while learning from user feedback to improve and individualise operation over long-term use. Her research interests include robotics & learning, HRI & movement. https://www.monash.edu/engineering/danakulic * Prof. Malinda Carpenter, School of Psychology and Neuroscience, Univ. of St Andrews, UK. Her research areas include infants' and young children's participation in shared activities, their prosocial and affiliative behavior and their understanding of others' mental states. Moreover, she investigates the differences between ape and human social cognition. https://risweb.st-andrews.ac.uk/portal/en/persons/malinda-carpenter(f0e7547e -8ee8-422c-b6ae-5d730b437d47).html * Prof. Takayuki Nagai, Osaka University, Japan. His research interests include Developmental Robotics, Robot Learning, Cognitive Architectures, Machine Learning, Language and Robotics. http://www.rlg.sys.es.osaka-u.ac.jp/ ==== The Conference ==== IEEE International Conference on Development and Learning (ICDL) 2021 (11th edition of ICDL-EPIROB) Conference dates: August 23rd-26th, 2021 Web page: https://icdl-2021.org/ An IEEE Computational Society-sponsored conference Location: Beijing, China (Due to the influence of COVID-19, IEEE ICDL 2021 may be held virtually.) Paper Submission Deadline: ***MARCH 15th, 2021*** Tutorial and Workshops Submission Deadline: ***MARCH 15th, 2021*** Journal Track Submission Deadline: April 28th, 2021 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental science. We invite submissions for the conference in 2021 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field, in the form of full papers, workshop and tutorials and of submissions to the journal track. We also invite your participation in the REAL 2021 competition. More details on the call and the PDF version can be found at: https://icdl-2021.org/call/ ==== Topics ==== The primary list of topics of interest include (but are not limited to): . General principles of development and learning; . Development of skills in biological systems and robots; . Nature VS nurture, critical periods and developmental stages; . Models on active learning; . Architectures for cognitive development and life-long learning; . Emergence of body knowledge and affordance perception; . Analysis and modelling of human motion and state; . Models for prediction, planning and problem solving; . Models of human-human and human-robot interaction; . Emergence of verbal and non-verbal communication skills; . Epistemological foundations and philosophical issues; . Models of child development from experimental psychology. ==== Full Papers ==== Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. The authors of the best conference papers will be invited to extend their contributions for a Special Issue of IEEE Transaction on Cognitive and Developmental Systems (IEEE TCDS). The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/ ==== Workshops and Tutorials === We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. The submission should be of maximum two pages including title, list of speakers, concept and target audience. It should include also a description of the structure of the event, the indication of the duration (half day or full day) and it should state whether the event is open to paper/poster submissions. Optionally, the link to the event website could be provided. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#tutorial ==== Journal Track and Competition ==== We highly recommend the submission in Journal Track to discuss important results related to cognitive and developmental systems recently published as journal articles, but not been previously presented as conference papers. All submissions must include in a single PDF the details of the original journal paper and a cover letter to explain why the authors believe that the paper is central for ICDL. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#journal We also strongly expect your participation in the REAL 2021 competition. The REAL competition addresses open-ended learning with a focus on "Robot open-Ended Autonomous Learning" (REAL)", that is, on systems that: (a) acquire sensorimotor competence that allows them to interact with objects and physical environments; (b) learn in a fully autonomous way, i.e. with no human intervention. Find all the details here: https://icdl-2021.org/competition/ ==== Important Dates ==== Conference dates: August 23rd-26th, 2021 Paper Submission deadline: MARCH 15th, 2021 Paper Author notification: MAY 15th, 2021 Camera ready due: JUNE 1st, 2021 Tutorial and Workshops Submission Deadline: MARCH 15th, 2021 Tutorial and Workshops Author notification: MAY 15th, 2021 Journal Track Submission Deadline: April 28th, 2021 Journal Track Notification: May 20th, 2021 ================= Best regards, Program Chairs Alessandra Sciutti (Italian Institute of Technology, Italy) Jing Chen (Peking University, China) Publication Chair Weiwei Wan (Osaka University, Japan) General Chairs Dingsheng Luo (Peking University, China) Angelo Cangelosi (University of Manchester, UK) Tutorial and Workshop Chair Xu Yang (Chinese Academy of Sciences, China) Competition Chairs Gianluca Baldassarre (National Research Council, Italy) Emilio Cartoni (National Research Council, Italy) Journal Track Chair Lorenzo Jamone (Queen Mary Univ. of London, UK) ---------------------------------------- Alessandra Sciutti (PhD) Researcher Tenure Track - P.I. CONTACT Unit Istituto Italiano di Tecnologia - Genova, Italy tel: +39 010 2897 327 ************* Currently editing a Research Topic on Affective Shared Perception Frontiers in Integrative Neuroscience and Frontiers in Robotics and AI. Interested in submitting? https://www.frontiersin.org/research-topics/16086/affective-shared-perceptio n ************* website: https://www.iit.it/people/alessandra-sciutti ERC website: https://www.whisperproject.eu/ TEDx talk (Italian): https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc twitter: @alefreedot -------------- next part -------------- An HTML attachment was scrubbed... URL: From abby at ldv.co Thu Mar 4 12:39:27 2021 From: abby at ldv.co (Abby Hunter-Syed) Date: Thu, 4 Mar 2021 12:39:27 -0500 Subject: Connectionists: =?utf-8?q?3/18_Event_w_DeepMind=E2=80=99s_Jane_X?= =?utf-8?q?=2E_Wang=3A_Can_Meta-Learning_Unlock_the_Magic_of_AI=3F?= Message-ID: Come join Jane X. Wang, Senior Research Scientist at DeepMind, and Abby Hunter-Syed, Partner at LDV Capital , to breakdown how and where meta-learning will generate opportunities for business & society. The free event is taking place online on the 18th of March, kicking off at 11:00am ET. When we say ?join us? we seriously mean it - we want this to be an open conversation and connection opportunity for women & underrepresented genders in the visual tech space. The live interview will be followed by discussion groups and some of the big questions we look forward to tackling together: - How should we define meta-learning? - Is it really that much different than today?s machine learning (ML)? - Why should we be thinking about it right now? - How is it going to shape our future? - Why should we be deploying it for our computer vision & ML applications? - How can we take it out of academia & into real-world applications? - What are the biggest business opportunities associated with it? - Is it going to make AI, ?magic?? In order to make it a powerful, interactive event, we have a limited number of spots available. Attending is free but you need to apply here and let us know why you want to be a part of this event & community . -- *Abby Hunter-Syed* *Partner* *LDV Capital * -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Thu Mar 4 12:42:51 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 4 Mar 2021 09:42:51 -0800 Subject: Connectionists: CfP ISWC 2021 - Call for Workshops & Tutorials: *Submit Today* In-Reply-To: References: Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org Besides the main technical program, ISWC will host several workshops on topics related to the general theme of the conference. The role of the workshops is to provide a setting for focused, intensive scientific exchange among researchers and practitioners interested in a specific topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. We invite you to submit a proposal for workshops on a research topic of interest to ISWC attendees. In addition to the regular research and workshop program, ISWC 2021 will feature a tutorial program addressing the diverse interests of its audience: Semantic Web practitioners that wish to learn about new technologies, novices to the Semantic Web interested in introductory tutorials to key Semantic Web / Linked Data topics, government and industry representatives focusing on the applicability of Semantic Web / Linked Data technologies in practical settings. We hereby invite you to submit a tutorial proposal on a research topic relevant to the ISWC 2021 audience. Important Dates: - Proposals due: 4 March, 2021 - Notification to proposers: 22 March, 2021 - Workshop & Tutorial Day(s): 24-25 October, 2021 Submission link: https://easychair.org/conferences/?conf=iswc2021 Details: https://iswc2021.semanticweb.org/workshops-and-tutorials-call Workshops & Tutorials Chairs: - Laura Hollink (Centrum Wiskunde & Informatica, Netherlands) - Mayank Kejriwal (University of Southern California, US) 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 stolu at elektro.dtu.dk Thu Mar 4 15:23:06 2021 From: stolu at elektro.dtu.dk (Silvia Tolu) Date: Thu, 4 Mar 2021 20:23:06 +0000 Subject: Connectionists: PhD position in Bio-Inspired Learning Approaches for Anomaly Detection and Condition Monitoring with Aerial Robots In-Reply-To: <20210228171621.GG17340@curry> References: <20210228171621.GG17340@curry> Message-ID: Do you want to be part of a vibrant training network on Aerial Robotics? Do you want to be one of the Early Stage Researchers that will fill the technological and scientific gaps between aerial robotics and the Operations & Maintenance industry, thus making an impact for society and the industry? Do you believe that the potentials of aerial robots are yet to be unleashed, and you want to be at the forefront of this technological innovation? The Automation and Control Group at the Department of Electrical Engineering, Technical University of Denmark invites applicants for a 3-years PhD position in the areas of aerial robotics and machine learning. At the Automation and Control group at DTU, you will be part of a group with broad competences in robotics and autonomous systems, and you will have access to unique facilities where you will be able to conduct your research in a highly motivated, technology-oriented environment where you will enrich your competences through collaboration with several peers and senior staff members. This position is one out of 15 Early-Stage Researcher (ESR) positions offered within the Marie Sk?odowska-Curie Innovative Training Network (ITN) ?AErial RObotic TRAINing for the next generation of European infrastructure and asset maintenance technologies? (AERO-TRAIN; www.aerotrain-etn.eu). The AERO-TRAIN project is carried out by a consortium of 14 academic and industrial organizations from Denmark, Sweden, Norway, Finland, Spain, Italy and Switzerland. AERO-TRAIN aims to close the gap between the Infrastructure Operations & Maintenance industry and aerial robotics, with the ambition to keep our invaluable assets operational and safe. The project addresses the fundamental challenges of human-machine interface (e.g., immersive technology, augmented reality) and of precise and robust aerial manipulation for enhanced remote manipulation and inspection evaluation. Responsibilities and qualifications As an ESR in the AERO-TRAIN project, you will contribute to the overall research through your ESR project, where you will develop innovative bio-inspired (such as spiking deep neural networks) vision-based learning algorithms for detection and classification of anomalies and failures in physical infrastructures. The candidate will also implement novel machine learning approaches for condition monitoring with multimodal sensing technologies within the project scope. The methods will be applied in areal robots in the context of aerial inspection of infrastructures. You will work with colleagues at DTU Automation and Control group, as well as with the other ESR of the AERO-TRAIN project. Besides working on their project at DTU Automation and Control group, the successful candidate will participate in network-wide training events like summer schools and retreats. Moreover, the PhD student will conduct secondments at other network partners. The successful candidate will receive an employment full time contract and a competitive gross salary. The ESR applicants should have: * An outstanding academic record, excellent skills and ideally proven experience in the fields of Computer Science, Electrical/Electronic engineering, Robotics, Automation engineering and or similar. Experience in the field of robot programming, computer vision, mathematical modelling or artificial intelligence is beneficial. * Excellent methodological skills and an analytical mind-set, ability to work both independently and as a member of a research team. * Outstanding communication skills in English, both oral and written. * High motivation, ambition and enthusiasm about research in physical manipulation with aerial robots. * Excited to work and collaborate with a diverse team of robotics researchers and engineers. To be eligible for recruitment, the following eligibility criteria must be met: * At the time of their recruitment, candidates must be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. * Applicants can be of any nationality. However, applicants must not have resided or carried out their main activity (work, studies, etc.) in Denmark for more than 12 months in the 3 years immediately before the appointment. Short stays, such as holidays are not taken into account. * Applicants must have a university degree that qualifies for PhD studies at the time of recruitment. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be based on the salary conditions of Marie Sk?odowska-Curie ITN projects. The period of employment is 3 years. The expected start date for the position is May-September 2021. You can read more about career paths at DTU here. Further information Further information may be obtained from Associate Professor Silvia Tolu, +45 45 25 39 28, stolu at dtu.dk or Associate Professor Matteo Fumagalli, +45 93 56 22 36, mafum at dtu.dk. https://www.dtu.dk/english/about/job-and-career/vacant-positions/job?id=013a10d4-f2cd-4bf5-b5d9-a811efb2d769 Best regards / Med Venlig Hilsen, Silvia Tolu Associate Professor Neuro-Robotics Team leader https://bioroboticsdtu.wordpress.com/ Review Editor for Frontiers Neurorobotics Journal Automation and Control Group Department of Electrical Engineering Technical University of Denmark ------------------------------------ Richard Petersens Plads Building 326, room 106 2800 Kgs. Lyngby Direct +45 45253928 email: stolu at elektro.dtu.dk Contribute to my RESEARCH TOPIC in Frontiers https://www.frontiersin.org/research-topics/16670 [1614326327840] ________________________________ From: Connectionists on behalf of Laurenz Wiskott Sent: 28 February 2021 18:16 To: Connectionists e-mail list Subject: Connectionists: PhD position in Machine Learning with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany The Ruhr-Universit?t Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. One particular strength of RUB is interdisciplinary research in Machine Learning and Artificial Intelligence, see https://ml-ai.rub.de/. The Institute for Neural Computation is a central research institute, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a research assistant / Phd-student in the group ?Theory of Neural Systems? of Prof. Dr. Laurenz Wiskott to be filled at the earliest possible date. The appointment will be for three years. Salary is 80% of salary scale TV-L E13. This project is embedded in a large competence center for AI in the work sciences and will be conducted with colleagues at the RUB and industrial partners. Task: ? Develop a system for transparent and structured data analysis with methods from machine learning. The system shall enable non-ML-experts, who have good knowledge of the application domain, to make a sensible and targeted data analysis. We offer: ? An interesting interdisciplinary environment in the field of Machine Learning / Artificial Intelligence / Work Sciences. ? Room to develop your own ideas in the project. ? Infrastructure to integrate well into the institute and the group. ? Opportunity to do a PhD (Dr). Requirements: ? Very good Master in mathematics, computer science, engineering, or a related field. ? Good programming and mathematical skills. ? Interest in interdisciplinary research questions and cooperations. Advantageous: ? Good communication and teamwork skills. ? Experience in interdisciplinary projects. ? Programming skills in Python. Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott at rub.de. Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OutlookEmoji-1614326327840f822ca7e-e80a-4fb4-86bd-6c8e4aaf400a.png Type: image/png Size: 706834 bytes Desc: OutlookEmoji-1614326327840f822ca7e-e80a-4fb4-86bd-6c8e4aaf400a.png URL: From tomislav.milekovic at epfl.ch Fri Mar 5 03:28:45 2021 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Fri, 5 Mar 2021 08:28:45 +0000 Subject: Connectionists: Postdoc in machine learning at EPFL (Lausanne, Switzerland) Message-ID: <025f53b7d79f4c088da98953b594627d@epfl.ch> Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL's lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson's disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae to increase the activation of the spinal motor pools that, in turn, move the muscles. Yet, the efficacy of the EES-based therapies relies on synchronizing users' movement intentions with the spatiotemporal stimulation protocols that reliably and accurately generate paralyzed movements. Due to the large state space of all the stimulation parameters (location, amplitude, frequency, etc.) efficacy of the therapy depends on the fast and accurate initialization of the stimulation protocols. As the patients use the stimulation, small movements of the array, as well as changes in spine position due to users' posture can reduce the usability of the stimulation. Stimulation efficacy can be enhanced by dynamically adjusting the stimulation protocols to changes to the way how to users' spinal cord reacts to stimulation. Finally, the functional use of the stimulation largely depends on the accurate timing of stimulation delivery. Machine learning approaches that infer users' intentions based on behavioral, physiological or neural recordings can vastly improve the synchronization between intended and therapy-supported movements and, therefore, play a critical role in achieving functional recovery of patients. While the current medical devices mostly support block-based stimulation protocols that remain constant for hundreds of milliseconds, upcoming devices will enable changes of stimulation at a millisecond resolution, thus opening a new field for machine learning approaches that exploit these capabilities. The successful candidate will work to develop, implement and apply machine learning algorithms and approaches to enhance EES-based therapies. Specifically, he will: * Design the mapping procedures for the generation of transfer functions that relate the continuously-controlled stimulation to the evoked muscle activity. * Develop algorithms that automatically adjust these transfer functions as the interaction between patients and their EES-based therapy evolves. * Implement machine learning techniques that utilize users' behavioral, physiological and neural signals to continuously synchronize the delivery of stimulation with the users' movement intentions. * Lead the team that develops machine learning methods to initialize and adjust block-based EES protocols. * Assist and oversee the development and implementation of machine learning methods that use inference of discrete motor events to synchronize block-based EES protocols with the users' intentions. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge machine learning concepts within medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson's disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: * Doctoral degree (PhD) * Proficiency in Python, Matlab and C++ * Strong background in quantitative data analysis * Experience with applying multiple machine learning techniques to behavioral, physiological, biological and/or neural datasets * Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic at epfl.ch. Informal inquiries are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sfuccillo at flatironinstitute.org Fri Mar 5 12:16:12 2021 From: sfuccillo at flatironinstitute.org (Serena Fuccillo) Date: Fri, 5 Mar 2021 12:16:12 -0500 Subject: Connectionists: Joint Flatiron Institue/NYU Research Position Message-ID: Hello there! We have a new Joint Research Position with Flatiron Institute and NYU! Below is the direct link to the job posting and attached to this email is the official job description! https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/162-Fifth-Avenue/Researcher--Joint-Position-with-NYU-CNS---Center-for-Computational-Neuroscience_R0000761 Thank you! Warm Regards, *Serena Fuccillo* Coordinator, Center Administration Center for Computational Neuroscience *FLATIRON INSTITUTE* 162 Fifth Avenue, 3rd Floor New York, NY 10010 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Joint CCN NYU Job Description Letterhead Version.docx (1).pdf Type: application/pdf Size: 95158 bytes Desc: not available URL: From eero at cns.nyu.edu Fri Mar 5 18:48:46 2021 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Fri, 5 Mar 2021 18:48:46 -0500 (EST) Subject: Connectionists: Joint Faculty/Research Position in Computational Neuroscience Message-ID: <202103052348.125NmkU19252@calaf.cns.nyu.edu> The Center for Neural Science at New York University (NYU), jointly with the Center for Computational Neuroscience (CCN) at the Flatiron Institute of the Simons Foundation, invites applications for an open rank joint position, with a preference for junior or mid-career candidates. We seek exceptional candidates that use computational frameworks to develop concepts, models, and tools for understanding brain function. Areas of interest include sensory representation and perception, memory, decision-making, adaptation and learning, and motor control. A Ph.D. in a relevant field, such as neuroscience, engineering, physics or applied mathematics, is required. Review of applications will begin 28 March 2021. Further information: * Joint position: https://apply.interfolio.com/83845 * NYU Center for Neural Science: https://www.cns.nyu.edu/ * Flatiron Institute Center for Computational Neuroscience: https://www.simonsfoundation.org/flatiron/center-for-computational-neuroscience/ From naotsugu.tsuchiya at monash.edu Sat Mar 6 19:36:25 2021 From: naotsugu.tsuchiya at monash.edu (Nao Tsuchiya) Date: Sun, 7 Mar 2021 11:36:25 +1100 Subject: Connectionists: Colour Qualia Symposium on Mar 17 (Wed) 8-11am (Japan Stand Time) Message-ID: Call for registrations On Mar 17, we will hold a symposium on colour qualia. The topics will include the controversy on the peripheral colour qualia as well as colour qualia in the developmental, evolutional, cultural and linguistic contexts. The symposium is supported by Grant-in-Aid for Transformative Research Areas (B) "Qualia Structure" https://qualia-structure.labby.jp/ Date: 8:00 - 11:00, March 17th (JST) Language: English Schedule: 8:00 Opening Session 1 "Color qualia in peripheral vision" 8:05 - 8:30 Dr. Michael Cohen, "How much color do we see in the world?" 8:30 - 8:55 Dr. Ariel Zeleznikow-Johnston, "Are colour experience structures equivalent across the visual field?" 8:55 - 9:20 Panel discussion: Dr. Shinsuke Shimojo and others Break (20 min) Session 2 "Evolution of color qualia" 9:40 - 10:05 Dr. Mutsumi Imai, "The process of color lexical acquisition: its implication for the symbol grounding problem." 10:05 - 10:30 Dr. Mark Changizi, "The color of emotional expressions.? 10:30 - 10:55 Panel discussion: Dr. Shinsuke Shimojo and others 10:55 Closing The participation is free, but please do register to obtain the information about the zoom. https://docs.google.com/forms/d/e/1FAIpQLScFrepBgoVB9SZb5eL0XZvcxLw94C5CH20LaETyLEdrQJlTUA/viewform Looking forward your participation! Regards Nao Tsuchiya -- -- Professor Nao (Naotsugu) Tsuchiya, PhD School of Psychological Sciences Turner Institute for Brain and Mental Health * Brain Mapping and Modelling Program* Monash University 770 Blackburn Monash Biomedical Imaging facility, Clayton, VIC 3168 Australia T: +61 3 9905 4564 E: naotsugu.tsuchiya at monash.edu W: homepage : Tw: @conscious_tlab YouTube : neural basis of consciousness 2. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 3. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701 -------------- next part -------------- An HTML attachment was scrubbed... URL: From papaleon at sch.gr Sat Mar 6 04:38:10 2021 From: papaleon at sch.gr (Papaleonidas Antonis) Date: Sat, 6 Mar 2021 11:38:10 +0200 Subject: Connectionists: Last Call for Papers - 17th AIAI 2021 Hybrid @ Web & Crete, Greece Message-ID: <002801d7126c$6ca687e0$45f397a0$@sch.gr> 17th AIAI 2021, 25 - 27 June 2021 Hybrid@ Web & Aldemar Knossos Royal, Crete, Greece LAST Call For Papers for 17th AIAI 2021, Hybrid @ Crete, Greece Dear Antonios Papaleonidas We would like to invite you to submit your work at the 17th International Conference on Artificial Intelligence Applications and Innovations ( AIAI2021) 17th International Conference on Artificial Intelligence Applications and Innovations, AIAI2020, is technically sponsored by IFIP Artificial Intelligence Applications WG12.5. It is going to be co-organized as a Joint event with 22nd Conference on Engineering Applications of Neural Networks, EANN 2021, which is technically sponsored by the INNS (International Neural Network Society). www.aiai2021.eu SPECIAL ISSUES - PROCEEDINGS: Selected papers will be published in 3 special issues of high quality international scientific Journals * International Journal of Neural Systems, Impact factor 6.4 World Scientific https://www.worldscientific.com/worldscinet/ijns * Neural Computing and Applications, Springer Impact Factor 4.213 https://link.springer.com/journal/521 * IIntegrated Computer-Aided Engineering journal, Impact Factor 4.706 https://www.iospress.nl/journal/integrated-computer-aided-engineering/ PROCEEDINGS will be published SPRINGER IFIP AICT Series and they are INDEXED BY SCOPUS, DBLP, Google Scholar, ACM Digital Library, IO-Port, MAthSciNet, CPCI, Zentralblatt MATH and EI Engineering Index Papers submissions will be up to 12 pages long and not less than 6 pages. BIBLIOMETRIC DETAILS: We proudly announce that according to Springer?s statistics, the last 14 AIAI conferences have been downloaded 1,336,000 times! For more Bibliometric Details please click AIAI BIBLIOMETRIC DETAILS IMPORTANT DATES: * Paper Submission Deadline: 12th of March 2021 * Notification of Acceptance: 16th of April 2021 * Camera ready Submission: 30th of April 2021 * Early / Authors Registration Deadline: 4th of May 2021 * Conference: 25 - 27 of June 2021 WORKSHOPS & SPECIAL SESSIONS: So far, the following workshops & special sessions have already been scheduled: * 10th Mining Humanistic Data Workshop (MHDW 2021) * 6th Workshop on ?5G ? Putting Intelligence to the Network Edge? (5G-PINE 2021) * Energy Efficiency and Artificial Intelligence (????) Workshop * Distributed AI for Resource-Constrained Platforms Workshop * Artificial Intelligence in Biomedical Engineering and Informatics * Defense Applications of AI * AI Ethics Workshop For Workshop & Special Session proposals please contact with Prof. Lazaros Iliadis at liliadis at civil.duth.gr VENUE: ALDEMAR KNOSSOS ROYAL Beach Resort in Hersonisso Peninsula, Crete, Greece. Special Half Board prices have been arranged for the conference delegates in the Aldemar Knossos Royal Beach Resort. For details please see: http://www.aiai2021.eu/reservations/ KEYNOTE SPEAKERS: So far one Plenary and 5 Keynote Lectures have been announced, all by six distinguished Professors with an important imprint in AI and Machine Learning. * http://www.aiai2021.eu/keynote-speakers/ Conference topics, CFPs, Submissions & Registration details can be found at: * www.aiai2021.eu/call-for-papers/ * www.aiai2021.eu/paper-submission/ * www.aiai2021.eu/registration/ We are expecting Submissions on all topics related to Artificial and Computational Intelligence and their Applications. Detailed Guidelines on the Topics and the submission details can be found at the links above General co-Chairs: * Ilias Maglogiannis, University of Piraeus, Greece * John Macintyre, University of Sunderland, United Kingdom Program co-Chairs: * Lazaros Iliadis, School of Engineering, Democritus University of Thrace, Greece * Xiao-Jun Wu, Jiangnan University, China * Petia Koprinkova, Bulgarian Academy of Sciences, Bulgaria Honorary co-Chairs: * Plamen Angelov, Lancaster University, Fellow of the IEEE, of the IET and of the HEA, Vice President of the International Neural Networks Society (INNS) for Conference and Governor of the Systems, Man and Cybernetics Society of the IEEE * Vera Kurkova, Czech Academy of Sciences *** Apologies for cross-posting *** Dr Papaleonidas Antonios Publication and Publicity Chair of EANN / AIAI 2021 Civil Engineering Department Democritus University of Thrace papaleon at civil.duth.gr papaleon at sch.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Mar 5 16:38:55 2021 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 05 Mar 2021 13:38:55 -0800 Subject: Connectionists: NEURAL COMPUTATION - March 1, 2021 In-Reply-To: Message-ID: Neural Computation - Volume 33, Number 3 - March 1, 2021 available online for download now: http://www.mitpressjournals.org/toc/neco/33/2 http://cognet.mit.edu/content/neural-computation ----- Articles >From Biophysical to Integrate-and-fire Modelling Tomas Van Pottelbergh, Guillaume Drion, and Rodolphe Sepulchre Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction Nicholas M. Boffi, Jean- Jacques Slotine Letters Active Inference: Demystified and Compared Noor Sajid, Philip J. Ball, Thomas Parr, and Karl Friston Sophisticated Inference Karl Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, and Thomas Parr Statistical Analysis of Decoding Performances of Diverse Populations of Neurons Kyle P Wendling, Cheng Ly Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection William Paul, I-Jeng Wang, Fady Alajaji, and Phil Burlina Mapping Low-dimensional Dynamics to High-dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework Omri Barak, Sandro Romani ----- 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 yokoya at k.u-tokyo.ac.jp Sat Mar 6 20:08:04 2021 From: yokoya at k.u-tokyo.ac.jp (Naoto Yokoya) Date: Sun, 7 Mar 2021 10:08:04 +0900 Subject: Connectionists: [Conferences] EARTHVISION 2021 @ CVPR - Paper submission deadline extended Message-ID: Apologies for cross-posting ******************************* Upon numerous requests, we have extended the submission deadline for our EarthVision Workshop at CVPR to March 15. For details, please visit https://www.grss-ieee.org/earthvision2021/ This workshop, held for its fifth edition at the CVPR 2021, aims at fostering collaboration between the computer vision as well as machine learning disciplines and the remote sensing community to boost automated interpretation of EO data. EarthVision will additionally help build cooperation within the CVPR community for this highly challenging and quickly evolving field that has a big impact on human society, economy, industry, and the planet. We invite contributions in the fields of (not exhaustive list): - Super-resolution in the spectral and spatial domain - Hyperspectral and multispectral image processing - 3D reconstruction from aerial images - Feature extraction and learning - Semantic classification of UAV / aerial and satellite images and videos - Deep learning tailored for Earth Observation - Domain adaptation and concept drift - Human-in-the-loop - Multi-resolution, multi-temporal, multi-sensor, multi-modal processing - Public benchmark data sets: Training data standards, testing & evaluation metrics, as well as open-source research and development. IMPORTANT DATES Full paper submission: March 15, 2021 Notification of acceptance: April 7, 2021 Camera-ready paper: April 14, 2021 Workshop (full day): June 19, 2021 SUBMISSION GUIDELINES A complete paper should be submitted using the EarthVision templates provided on the workshop website. The paper length must not exceed 8 pages (excluding references) and formatting follows CVPR 2021 instructions. All manuscripts will be subject to a double-blind review process, i.e. authors must not identify themselves on the submitted papers. WORKSHOP ORGANIZERS - Ronny H?nsch, German Aerospace Center, Germany - Devis Tuia, EPFL, Switzerland - Jan Dirk Wegner, University of Zurich & ETH Zurich, Switzerland - Bertrand Le Saux, ESA/ESRIN, Italy - Naoto Yokoya, Uni. of Tokyo & RIKEN, Japan - Nathan Jacobs, Uni. of Kentucky, USA - Fabio Pacifici, Maxar, USA - Mariko Burgin, NASA JPL, USA - Lo?c Landrieu, IGN, France - Charlotte Pelletier, UBS Vannes, France - Maryam Rahnemoonfar, University of Maryland, USA CHALLENGE EarthVision 2021 again features interesting challenges addressing modern problems of Remote Sensing and Earth Observation: - The DynamicEarthNet Challenge on modeling multi-temporal land cover changes from Planetscope and Sentinel time series data is organized by Planet, TU Munich, DLR, and runs from March 1 to June 1. - The FloodNet Challenge on classification, semantic segmentation, and visual question answering for flood assessment based on UAV images is organized by the University of Maryland Baltimore County, Texas A&M University, and Dewberry and runs from March 15 to May 1. Challenge winners are awarded at EarthVision and receive prestigious prizes. More details at grss-ieee.org/earthvision2021/challenge.html SPONSORING The event is co-organized by the Image Analysis and Data Fusion Technical Committee of the IEEE-GRSS, and it is sponsored by Gold sponsors: ESA (http://www.esa.int/), the CosmiQ Works team of IQT Labs (http://www.cosmiqworks.org/), Apple (www.apple.com), Bronze sponsors: Kitware (https://www.kitware.com/). Website: https://www.grss-ieee.org/earthvision2021/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.j.palmeri at vanderbilt.edu Sun Mar 7 15:04:37 2021 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Sun, 7 Mar 2021 20:04:37 +0000 Subject: Connectionists: Postdoctoral Fellowship in Cognitive and Neural Modeling at Vanderbilt Message-ID: (Please forward to potential interested applicants.) Postdoctoral Fellowship in Cognitive and Neural Modeling at Vanderbilt We eagerly seek postdoctoral fellows to join ongoing research developing computational models of visual cognition. One project, an ongoing collaboration between Thomas Palmeri, Jeffrey Schall, and Gordon Logan, uses cognitive and neural models to understand visual saccade behavior, neurophysiology, and electrophysiology in humans and monkeys. The other project uses cognitive and deep learning models to understand visual recognition, memory, and categorization, and the development of perceptual expertise. Fellows will have an opportunity to work on both projects. Research facilities include several high-end laboratory workstations, computerized behavioral testing stations, a web-based server infrastructure for online experiments, two eye trackers, a shared 10,000+ core CPU cluster and large-scale GPU cluster at Vanderbilt?s ACCRE, as well as ample office and research space. Postdoctoral fellows will also take advantage of the collaborative environment, facilities, and support in the Department of Psychology, the Vanderbilt Data Science Institute, and the Vanderbilt Vision Research Center. And as Dave Grohl of the Foo Fighters has said, ?Everybody now thinks that Nashville is the coolest city in America.? Candidates can hold a Ph.D. in psychology, neuroscience, computer science, mathematics, engineering, or related disciplines. Some demonstrated experience with computational modeling is required. Some knowledge of vision cognition and neuroscience is desired but not required. Start date is negotiable, but preference will be given to candidates who can begin this spring or early summer. Applications will be reviewed on a rolling basis. Salary will be based on the NIH postdoctoral scale. Applicants should send a cover letter with a brief research statement, a current CV, and names and email addresses of three references to: Thomas Palmeri Department of Psychology Vanderbilt University Nashville, TN 37240 thomas.j.palmeri at vanderbilt.edu catlab.psy.vanderbilt.edu *apologies for cross-posting* -------------------------- Thomas J. Palmeri Distinguished Professor Director of Undergraduate Data Science co-Director of Scientific Computing Department of Psychology 507 Wilson Hall Vanderbilt University 111 21st Avenue South Nashville, Tennessee 37240 email: thomas.j.palmeri at vanderbilt.edu lab: http://catlab.psy.vanderbilt.edu pronouns: he/him/his -------------- 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 bogdanlapi at gmail.com Sun Mar 7 08:44:32 2021 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Sun, 7 Mar 2021 15:44:32 +0200 Subject: Connectionists: 1st Call-for-papers CLEF 2021 Conference and Labs of the Evaluation Forum Message-ID: CLEF 2021 Conference and Labs of the Evaluation Forum 21-24 September 2021, Bucharest, Romania http://clef2021.clef-initiative.eu/ [apologies for cross-posting] #Important Dates# (Time zone: Anywhere on Earth) - Submission of All Papers: 3 May 2021 - Notification of Acceptance: 4 June 2021 - Camera Ready Copy due: 25 June 2021 - Conference: 21-24 September 2021 The CLEF Conference addresses all aspects of Information Access in any modality and language. The CLEF conference includes presentation of research papers and a series of workshops presenting the results of lab-based comparative evaluation benchmarks. CLEF 2021 in Bucharest is the 12th year of the CLEF Conference series and the 22nd year of the CLEF initiative as a forum for information retrieval (IR) evaluation. The CLEF conference has a clear focus on experimental IR as carried out within evaluation forums (e.g., CLEF Labs, TREC, NTCIR, FIRE, MediaEval, RomIP, SemEval, and TAC) with special attention to the challenges of multimodality, multilinguality, and interactive search also considering specific classes of users as children, students, impaired users in different tasks (e.g., academic, professional, or everyday-life). We invite paper submissions on significant new insights demonstrated on IR test collections, on analysis of IR test collections and evaluation measures, as well as on concrete proposals to push the boundaries of the Cranfield style evaluation paradigm. All submissions to the CLEF main conference will be reviewed on the basis of relevance, originality, importance, and clarity. CLEF welcomes papers that describe rigorous hypothesis testing regardless of whether the results are positive or negative. CLEF also welcomes past runs/results/data analysis and new data collections. Methods are expected to be written so that they are reproducible by others, and the logic of the research design is clearly described in the paper. The conference proceedings will be published in the Springer Lecture Notes in Computer Science (LNCS). #Topics# Relevant topics for the CLEF 2021 Conference include but are not limited to: - Information Access in any language or modality: information retrieval, image retrieval, question answering, search interfaces and design, infrastructures, etc. - Analytics for Information Retrieval: theoretical and practical results in the analytics field that are specifically targeted for information access data analysis, data enrichment, etc. - User studies either based on lab studies or crowdsourcing. - Past results/run deep analysis both statistically and fine grain based. - Evaluation initiatives: conclusions, lessons learned, impact and projection of any evaluation initiative after completing their cycle. - Evaluation: methodologies, metrics, statistical and analytical tools, component based, user groups and use cases, ground-truth creation, impact of multilingual/multicultural/multimodal differences, etc. - Technology transfer: economic impact/sustainability of information access approaches, deployment and exploitation of systems, use cases, etc. - Interactive Information Retrieval evaluation: the interactive evaluation of information retrieval systems using user-centered methods, evaluation of novel search interfaces, novel interactive evaluation methods, simulation of interaction, etc. - Specific application domains: Information access and its evaluation in application domains such as cultural heritage, digital libraries, social media, expert search, health information, legal documents, patents, news, books, plants, etc. - New data collection: presentation of new data collection with potential high impact on future research, specific collections from companies or labs, multilingual collections. - Work on data from rare languages, collaborative, social data. #Format# Authors are invited to electronically submit original papers, which have not been published and are not under consideration elsewhere, using the LNCS proceedings format: http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines. Two types of papers are solicited: - Long papers: 12 pages max (including references). Aimed to report complete research work. - Short papers: 6 pages max (including references). Position papers, new evaluation proposals, developments and applications, etc. Papers will be peer-reviewed by 3 members of the program committee. Selection will be based on originality, clarity, and technical quality. #Paper submission# Papers should be submitted in PDF format to the following address: https://www.easychair.org/conferences/?conf=clef2021 #Organizing Committee# General Chairs: Bogdan Ionescu, University ?Politehnica? of Bucharest, Romania K. Selcuk Candan, Arizona State University, USA Program Chairs: Henning M?ller, University of Applied Sciences Western Switzerland, Switzerland Lorraine Goeuriot, Universit? Grenoble Alpes, France Birger Larsen, Aalborg University Copenhagen, Denmark Lab Chairs: Alexis Joly, INRIA Sophia-Antipolis, France Maria Maistro, University of Copenhagen, Denmark Florina Piroi, Vienna University of Technology, Austria Publicity Chairs: Liviu-Daniel Stefan, University ?Politehnica? of Bucharest, Romania Mihai Dogariu, University ?Politehnica? of Bucharest, Romania Outreach Program Chairs: Yu-Gang Jiang, Fudan University, China - Asian Liaison Hugo Jair Escalante, Instituto Nacional de Astrofisica, Optica y Electronica, Mexico - Central American Liaison Fabio A. Gonzalez, National University of Colombia, Colombia - South American Liaison Ben Herbst, Praelexis, South Africa - African Liaison Abdulmotaleb El Saddik, University of Ottawa, Canada - North American Liaison Industry & Sponsorship Chairs: Seila Abdulamit, Vodafone, Romania Mihai-Gabriel Constantin, University ?Politehnica? of Bucharest, Romania Bogdan Boteanu, University ?Politehnica? of Bucharest, Romania Website & Social Media Chairs: Denisa Ionascu, University ?Politehnica? of Bucharest, Romania Finance Chair: Ion Marghescu, University ?Politehnica? of Bucharest, Romania Proceedings Chairs: Guglielmo Faggioli, University of Padua, Italy Nicola Ferro, University of Padua, Italy From f.vandervelde at utwente.nl Sun Mar 7 10:47:07 2021 From: f.vandervelde at utwente.nl (f.vandervelde at utwente.nl) Date: Sun, 7 Mar 2021 15:47:07 +0000 Subject: Connectionists: Assistant or Associate Professor In Cognition-Inspired Intelligent Systems Message-ID: <97451d8539de463aa6dbc2946ad5f386@utwente.nl> Dear all, The following position is available at the University of Twente (UT), Enschede, The Netherlands: Assistant or Associate Professor In Cognition-Inspired Intelligent Systems Full information about the position can be found at: https://www.utwente.nl/en/organisation/careers/!/2021-248/assistantassociate-professor-in-cognition-inspired-intelligent-systems-mf You can submit your application using this website before April 1, 2021. The position is initially for 2 years (1.0 FTE), after which it can become permanent, subject to a successful evaluation. The starting data will be preferably 1 June 2021 or if possible earlier. Your tasks include: ? Developing our research line, with a genuine interest in operating at the crossroads of different disciplines such as the UT-wide Digital Society Institute (https://www.utwente.nl/en/research/themes/digital/). ? Developing systems that show intelligent executive control of (deep-learning) systems involved in perception, motor behaviour and behaviour planning (e.g., as can be applied in robots). ? Acquiring external research funding. ? (Co-)teaching and coordinating courses in the Psychology bachelor and master programs, and the Robotics master programme. (Teaching at the UT is in English.) ? Supervising students from these programs in their graduation assignment; contributing to the supervision of PhD students. Your profile includes: ? A strong interest and experience in human neurocognition, as well as in modelling neural networks and cognitive processes (e.g., in C++ or Python). Candidates have a plus when they have experience with the iCub robot. ? A PhD degree in a relevant background and experience in research, which is apparent from international peer-reviewed publications in highly ranked academic journals, presentations in international scientific conferences, grant application skills and other academic activities. ? A possession of, or an interest in acquiring, a University Teaching Qualification (UTQ) certificate (or international equivalent). Candidates are passionate, creative and effective teachers able to teach psychological and professional skills as shown in good teaching evaluations. ? Good communication skills and an excellent command of English, at least at C2 level. Our offer: We offer an appointment as Assistant Professor or Associate Professor (1,0 FTE) for 2 years, after which your position can become permanent, subject to a successful evaluation. The starting data will be preferably 1 June 2021 or if possible earlier. The starting salary, depending on your experience, ranges between ? 3.746 to ? 6.940 gross per month (in accordance with the Collective Labour Agreement for Dutch Universities). In addition, we offer additional attractive employment conditions (8% holiday allowance, 8.3% end-of-year bonus, solid pension scheme, sabbatical leave, professional and personal development programs, etc.). Best Frank van der Velde -------------- next part -------------- An HTML attachment was scrubbed... URL: From snooles at gmail.com Mon Mar 8 00:24:00 2021 From: snooles at gmail.com (Gilles Vanwalleghem) Date: Mon, 8 Mar 2021 15:24:00 +1000 Subject: Connectionists: 2 years Post-doctoral position available in QBI, Brisbane, Australia Message-ID: Hello everyone, The Postdoctoral Research Fellow/Research Fellow will be working in Associate Professor Ethan Scott's group which generates large volumes of imaging data both from their brain-wide calcium imaging and from their behavioural analyses. This position will involve developing and implementing data management approaches for the handling and analysis of these data. A Postdoctoral Research Fellow (Level A) will work on this project while also developing their expertise and emerging research profile in their discipline. A Research Fellow (Level B), in addition to the Level A expectations, will develop and run their own research projects in collaboration with team members and fulfil the necessary requirements to contribute to the effective supervision of Honours and Higher Degree by Research Students. The successful candidate will hold a PhD in the area of theoretical neuroscience, mathematics, computer science, data science or relevant related fields, and will have experience with coding in Matlab or Python. Further information: * job ad: https://search.careers.uq.edu.au/caw/en/job/513422/postdoctoral-research-fellow-research-fellow * Ethan Scott's group: https://qbi.uq.edu.au/scottgroup * St Lucia campus of UQ: https://campuses.uq.edu.au/st-lucia -------------- next part -------------- An HTML attachment was scrubbed... URL: From cshelton at cs.ucr.edu Sun Mar 7 19:47:51 2021 From: cshelton at cs.ucr.edu (Christian Shelton) Date: Sun, 7 Mar 2021 16:47:51 -0800 Subject: Connectionists: Tenure-Track Assistant Teaching Professor in Computer Science Message-ID: The Department of Computer Science & Engineering at the University of California at Riverside invites applicants for a tenure-track assistant teaching professor position. We welcome candidates in all areas of computer science and computer engineering and specifically seek those who will support and continue to grow our current efforts in diversity and equality. At UCR, teaching professors are responsible mainly for undergraduate instruction and curriculum development. Successful candidates will need to exhibit dedication to teaching and appropriate pedagogical knowledge and skills. Teaching faculty are also expected to be actively engaged in pedagogical innovation, TA training, program accreditation, student advising, and scholarly activity in the area of computer science and computer engineering education. A teaching professor appointment is similar to a traditional tenure-track professor appointment and follows a parallel track, including regular, rigorous performance reviews and a tenure process that, if successful, leads to a tenured appointment. Advancement through the faculty ranks is through a series of structured, merit-based evaluations, occurring every 2-3 years, each of which includes substantial peer input. https://aprecruit.ucr.edu/JPF01380 Application review will begin April 19, 2021. If there are any questions, please feel free to contact the search chair, Christian Shelton, at search at cs.ucr.edu. From info at aimove.eu Mon Mar 8 06:22:54 2021 From: info at aimove.eu (AIMove Post Master's Degree) Date: Mon, 08 Mar 2021 12:22:54 +0100 Subject: Connectionists: AIMove 2021-22: Post-Master's Degree in Human-Centred ARTIFICIAL INTELLIGENCE at MINES ParisTech Message-ID: <6597d11b212f88ee48b52afb1d63f4c2@aimove.eu> CONFERENCE DES GRANDES ECOLES PSL UNIVERSITE PARIS MINES ParisTech Post-Master's Degree Mast?re Sp?cialis? (R) AIMove ARTIFICIAL INTELLIGENCE and MOVEMENT in Industries and Creation An international English-taught programme in Paris. Now, with the option of spending only 3 months in Paris, you can obtain a professional training diploma from one of the most renowned School of Engineers in France and the globe. Contact us for AIMove Hybrid Learning options. AIMove Post Master's Degree is an accredited professional program, delivered by MINES ParisTech, PSL Universit? Paris and supported by a European consortium of IRCAM, CERTH, Goldsmiths College University of London, IDIAP and the Aristotle University of Thessaloniki. The programme specialises in Human-centred AI (HAI) and enhances professional development and expertise in the fields of human-machine interaction and collaboration, internet of things, machine learning, pattern recognition, computer vision, VR/AR and mixed reality, and emergent related fields. This unique international program, taught entirely in English, brings together leading European professionals in this field and trains future HAI specialists in Human-Machine Collaboration. Modules AI and societal challenges Motion capture, modelling and pattern recognition User Interaction and User Experience Human, machines and connected objects Movement and European industrial leadership Interdisciplinary AI engagement _To access the full list of courses click here [1] _ Structure 6-month courses - one trimester Live virtual (option of attendance either online or on campus) and one trimester fully on-campus GAIIA Think-Tank and Summer School, Interdisciplinary engagement AND 6-month enterprise internship with a competitive salary Entry requirements 5 years at University level OR 4 years at University level + 3 years of professional experience Partners IRCAM Pompidou Centre (France) I CERTH The Centre for Research and Technology-Hellas (Greece) I MDP Maxon Motor France I HAAS Lawyers I EDF I Neurodatalab Emotion AI hub I Mocaplab Motion Capture Studios Idiap Research Institute (Switzerland) l INREV Paris8 University (France) l Goldsmiths University of London Admissions March 15 - April 15 2021 Contact: info at aimove.eu Webpage: aimove.eu [2] _______________________________________________ isgs mailing list isgs at gesturestudies.com http://gesturestudies.com/mailman/listinfo/isgs Links: ------ [1] https://aimove.eu/modules-and-courses/ [2] http://aimove.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 20cd8770.jpeg Type: image/jpeg Size: 338801 bytes Desc: not available URL: From domenico.maisto at icar.cnr.it Mon Mar 8 06:11:08 2021 From: domenico.maisto at icar.cnr.it (Domenico Maisto) Date: Mon, 8 Mar 2021 12:11:08 +0100 Subject: Connectionists: CfP: Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making - Entropy by MDPI. *Deadline is approaching* Message-ID: Dear Colleagues, You are cordially invited to submit a manuscript to the Entropy Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference\ The firm deadline for manuscript submissions is 21 March 2021. Please find further information below. With best regards, Domenico Maisto ================================================================ Open Access Journal ENTROPY by MDPI Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making ----------------------------------------------------------------------------------------------------------------- This Special Issue aims to focus on recent advances in probabilistic inference in goal-directed human and animal decision making, and we welcome submissions that: - Shed light on the computations of neuronal circuits involved in goal-directed decision making, with a focus on the inferential mechanisms involved; - Propose novel probabilistic models and methods in decision making including (but not limited to) information-theory approaches, statistical and free- energy minimization, hierarchical models, and deep networks; - Introduce decision-making applications in ethological, social, psychological, psychiatric, robotics, and computer science research. Guest Editors Dr Francesco Donnarumma Dr Domenico Maisto Dr Ivilin Stoianov Entropy is an Open Access Journal by MDPI with high visibility (indexed within Scopus, SCIE (Web of Science), MathSciNet, Inspec, PubMed, PMC, and many other databases), excellent citescore (IF: 2.494; 2019 Scopus data: 3.7, which equals rank 8/62 (Q1) in 'Mathematical Physics', 14/54 (Q2) in 'Physics and Astronomy', 210/670 (Q2) in 'Electrical and Electronic Engineering', and 104/300 (Q2) in 'Information Systems'), and rapid publication. -- Domenico Maisto, PhD Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR) Via Pietro Castellino 111, 80131, Napoli Italy Phone: +39 0644595208 (Rome), +39 0816139507 (Naples) Fax: +39 0644595243 (Rome), +39 0816139531 (Naples) e-mail: domenico.maisto at icar.cnr.it From ioannakoroni at csd.auth.gr Mon Mar 8 04:13:26 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 8 Mar 2021 11:13:26 +0200 Subject: Connectionists: 2021 Spring CVML school announcement Message-ID: <00ca01d713fb$4c8d32c0$e5a79840$@csd.auth.gr> Dear Deep Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2021 Spring CVML e-School having focus on Deep Learning, Computer Vision and Autonomous Systems (cars, drones, marine vessels): http://icarus.csd.auth.gr/spring-school-2021-cvml-short-course/ It will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The 2021 Spring CVML e-school consists of 3 live short e-courses: a) 'Computer Vision and Image Processing', 17-18th March 2021. http://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processing / b) 'Machine Learning and Deep Neural Networks', 27-28th April 2021. http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ c) 'Computer Vision for Autonomous Systems', 5-6th May 2021. http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-system-perception/ and d) CVML Web Lecture Series: 17 CVML asynchronous Web courses containing 150 on-line asynchronous web lectures in total: http://icarus.csd.auth.gr/cvml-web-lecture-series/ You can follow the above-mentioned links for registration on either live or asynchronous e-courses. For questions, please contact: Ioanna Koroni > Each live e-course contains 16 live (and recorded) lectures and related material (slide pdfs, lecture videos, understanding questionnaires) providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on Autonomous Systems (cars, drones, marine vessels). All 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. 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 e-course on Computer Vision and Image Processing', 17-18th March 2021. http://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processing / Part A Image Processing (first day, 8 lectures): 1. Introduction to Image Processing and Computer Vision 2. Image Formation 3. Image sampling 4. 2D Systems 5. Image Transforms 6. Fast 2D Convolution Algorithms 7. Image Perception 8. Image Filtering Part B Computer Vision (second day, 8 lectures): 1. Edge Detection 2. Region Segmentation. Texture Description 3. Shape Description 4. Image Acquisition. Camera Geometry 5. Stereo and Multiview Imaging 6. Structure from Motion 7. 3D Robot Localization and Mapping 8. Object Tracking b) 'Short e-course on Machine Learning and Deep Neural Networks', 27-28th April 2021. http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ Part A: Deep Neural networks (first day, 8 lectures) 1. Introduction to Machine Learning 2. Artificial Neural Networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Recurrent Neural Networks. LSTMs 6. Attention and Transformers 7. Deep learning for object detection 8. Deep Semantic Image Segmentation Part B: Machine Learning. Pattern Recognition (second day, 8 lectures) 1. Generative Adversarial Networks 2. Data Clustering 3. Decision Surfaces. Support Vector Machines 4. Dimensionality Reduction 5. Kernel Methods 6. Bayesian Learning 7. Deep Reinforcement Learning 8. CVML Software Development Tools c) 'Short e-course on 'Computer Vision for Autonomous Systems', 5-6th May 2021. http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-system-perception/ Part A Computer Vision (first day, 8 lectures): 1. Digital images and videos 2. Image Acquisition. Camera Geometry 3. Stereo and Multiview Imaging 4. Structure from Motion 5. 3D Robot Localization and Mapping 6. Neural 3D world modeling 7. Image/Point cloud registration 8. Deep semantic image segmentation Part B Autonomous Systems (second day, 8 lectures): 1. Autonomous Systems Sensors 2. Deep object detection 3. Object Tracking 4. Object Pose Estimation 5. Multiple Drone Systems 6. Autonomous Car Vision 7. Autonomous Surface Vessels 8. CVML Software Development Tools d) CVML Web Lecture Series: 17 CVML asynchronous Web courses containing 150 on-line asynchronous web lectures in total: http://icarus.csd.auth.gr/cvml-web-lecture-series/ 1. Machine Learning (ML) (11 Lectures) 2. Neural Networks/Deep Learning (11 Lectures) 3. Computer Vision (CV) (10 Lectures) 4. Image Processing (20 Lectures) 5. 2D Computer Vision/Image Analysis (8 Lectures) 6. 3D Imaging (2 Lectures) 7. Video Processing and Analysis (12 Lectures) 8. Signal and Systems (12 Lectures) 9. Digital Signal Processing and Analysis (5 Lectures) 10. Human Centered Computing (13 Lectures) 11. Network Theory/Social Media Analysis (9 Lectures) 12. Autonomous Systems and Robotics (7 Lectures) 13. Autonomous Cars (7 Lectures) 14. Autonomous Drones (13 Lectures) 15. Autonomous Marine Systems (3 Lectures) 16. CVML Mathematical Foundations (5 Lectures) 17. CVML Development and Programming Tools (3 Lectures) Sincerely yours Prof. I. Pitas 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 marcello.pelillo at gmail.com Mon Mar 8 08:28:09 2021 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Mon, 8 Mar 2021 14:28:09 +0100 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: - Differential Geometry in Computer Vision and Machine Learning (paper submission deadline: *May 31, 2021*) - Methods and Tools for Bioimage Analysis (paper submission deadline: *August 15, 2021*) - Machine Vision for Assistive Technologies (paper submission deadline: *August 31, 2021*) - Video Story Understanding (paper submission deadline: *September 30, 2021*) (The complete list can be found here .) 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 pgarner at idiap.ch Mon Mar 8 10:26:01 2021 From: pgarner at idiap.ch (Phil Garner) Date: Mon, 8 Mar 2021 16:26:01 +0100 Subject: Connectionists: PhD positions in speech processing and machine learning Message-ID: <102d928a-759f-99c7-7a60-e6f6a3b081d7@idiap.ch> Dear Colleagues, There there are currently two PhD positions open at in the Speech Group at Idiap Research Institute on speech processing and machine learning. Both are Swiss NSF funded: Neural Architectures for Speech Technology https://www.idiap.ch/education-and-jobs/job-10313 the project is mainly about machine learning for speech. Speech recognition and natural language processing for digital interviews http://www.idiap.ch/education-and-jobs/job-10317 This one is more ASR oriented. For more information and to apply, follow the links above. It is possible to indicate both in a single application. Idiap is located in Martigny in the Swiss Alps, but functions in English and hosts many nationalities. PhD students are typically registered at EPFL. All positions offer quite generous salaries. Martigny is a local art, culture and viticulture hub, and is close to all manner of skiing, hiking and mountain life. There are other open positions on Idiap's main page https://www.idiap.ch/en/join-us/job-opportunities Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner From O.Inel at tudelft.nl Mon Mar 8 14:41:06 2021 From: O.Inel at tudelft.nl (Oana Inel) Date: Mon, 8 Mar 2021 19:41:06 +0000 Subject: Connectionists: Second Call for Papers ExUM@UMAP 2021 Message-ID: *** Apologies for cross postings *** ExUM Workshop @UMAP 2021 - SECOND CALL FOR PAPERS ---------------------------------------------------------------------- Workshop on Explainable User Models and Personalised Systems (ExUM at UMAP 2021) June 21-25, 2020 co-located with UMAP 2021 (https://www.um.org/umap2021/) - Online from Utrecht, the Netherlands Twitter: https://twitter.com/ExUM_Workshop Web: http://www.di.uniba.it/~swap/exum/ Submission: https://easychair.org/my/conference?conf=acmumap2021# (select "Workshop-ExUM") For any information: cataldo.musto at uniba.it, marco.polignano at uniba.it ================ IMPORTANT DATES =============== * Full paper submission: March 26, 2021 * Paper notification: April 19, 2021 * Camera-ready paper: May 7, 2021 ======================== COVID-19 STATUS - UPDATE ======================== The 29th Conference on User Modeling, Adaptation and Personalization will be a virtual conference. We are still figuring out all the details, which we hope to announce bit by bit during the next couple of months. Stay tuned for further updates. ========= ABSTRACT ========= Adaptive and personalized systems have become pervasive technologies which are gradually playing an increasingly important role in our daily lives. Indeed, we are now used to interact every day with algorithms that help us in several scenarios, ranging from services that suggest us music to be listened to or movies to be watched, to personal assistants able to proactively support us in complex decision-making tasks. As the importance of such technologies in our everyday lives grows, it is fundamental that the internal mechanisms that guide these algorithms are as clear as possible. It is not by chance that the recent General Data Protection Regulation (GDPR) emphasized the users? right to explanation when people face machine learning-based (or more in general - artificial intelligence-based) systems. Unfortunately, the current research tends to go in the opposite direction, since most of the approaches try to maximize the effectiveness of the personalization strategy (e.g., recommendation accuracy) at the expense of the explainability and the transparency of the model. The main research questions which arise from this scenario is simple and straightforward: how can we deal with such a dichotomy between the need for effective adaptive systems and the right to transparency and interpretability? Several research lines are triggered by this question: building scrutable user models and transparent al-gorithms, analyzing the impact of opaque algorithms on final users, studying the role of explanation strategies, investigating how to provide users with more control in the personalization and adaptation problems. The workshop aims to provide a forum for discussing such problems, challenges and innovative re-search approaches in the area, by investigating the role of transparency and explainability on the re-cent methodologies for building user models or for developing personalized and adaptive systems. ====== TOPICS ====== Topics of interests include but are not limited to: - TRANSPARENT AND EXPLAINABLE PERSONALIZATION STRATEGIES - Scrutable User Models - Transparent User Profiling and Personal Data Extraction - Explainable Personalization and Adaptation Methodologies - Novel strategies (e.g., conversational recommender systems) for building transparent algorithms - DESIGNING EXPLANATION ALGORITHMS - Explanation algorithms based on item description and item properties - Explanation algorithms based on user-generated content (e.g., reviews) - Explanation algorithms based on collaborative information - Building explanation algorithms for opaque personalization techniques (e.g., neural networks, matrix factorization) - DESIGNING TRANSPARENT AND EXPLAINABLE USER INTERFACES - Transparent User Interfaces - Designing Transparent Interaction methodologies - Novel paradigms (e.g. chatbots) for building transparent models - EVALUATING TRANSPARENCY AND EXPLAINABILITY - Evaluating Transparency in interaction or personalization - Evaluating Explainability of the algorithms - Designing User Studies for evaluating transparency and explainability - Novel metrics and experimental protocols - OPEN ISSUES IN TRANSPARENT AND EXPLAINABLE USER MODELS AND PERSONALIZED SYSTEMS - Ethical issues (Fairness and Biases) in User Models and Personalized Systems - Privacy management of Personal and Social data - Discussing Recent Regulations (GDPR) and future directions ============ SUBMISSIONS ============ We encourage the submission of original contributions, investigating novel methodologies to exploit heterogeneous personal data and approach to build transparent and scrutable user models. (A) Regular papers (max. 10 pages + references - single-column ACM format); (B) Demo and Position Papers (max. 5 pages + references - ACM format); Submission site: https://easychair.org/my/conference?conf=acmumap2021# (select "Workshop-ExUM") All submitted papers will be evaluated by at least two members of the program committee, based on originality, significance, relevance and technical quality. Note that the references do not count towards page limits. Submissions should be single blinded, i.e. authors names should be included in the submissions. Papers must be formatted according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow. Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): * LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column): https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column): https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt * MS Word: https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx Submissions must be made through the EasyChair conference system prior the specified deadline (AoE). All accepted papers will be published by ACM as a joint volume of Extended UMAP 2021 Proceedings and will be available via the ACM Digital Library. At least one author of each accepted paper must register for the particular workshop and present the paper there. ============= ORGANIZATION ============= Cataldo Musto - University of Bari, Italy Nava Tintarev - Maastricht University, The Netherlands Oana Inel - Delft University of Technology, The Netherlands Marco Polignano - University of Bari, Italy Giovanni Semeraro - University of Bari, Italy Juergen Ziegler - University of Duisburg Essen -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Tue Mar 9 08:27:04 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Tue, 9 Mar 2021 14:27:04 +0100 Subject: Connectionists: [LAST CFP] 2nd International workshop on Deep Learning meets Ontologies and Natural Language Processing @ESWC-2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 2nd International workshop "*Deep Learning meets Ontologies and Natural Language Processing*" which will be held online or in Hersonissos, Greece - June 6th 2021. ** *DeepOntoNLP* - Call for Papers *** Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) https://sites.google.com/view/deepontonlp-eswc2021 in conjunction with ESWC 2021 online or in Hersonissos, Greece **Important dates** - Workshop paper submission due: *March 1st, 2021** March 14th, 2021* - Workshop paper notifications: March 31st, 2021 - Workshop paper camera-ready versions due: April 9th, 2021 - Workshop: June 6th, 2021 (Half-Day) All deadlines are 23:59 anywhere on earth (UTC-12). **Workshop description** In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions. Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations. The combination of DL, ontologies and NLP might be beneficial for different tasks: ? Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration, ? Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations), ? Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc. ? NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc. **Objective** This workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, 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 natural language processing, structured knowledge and deep learning approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. **Topics of interests** ? Construction ontology embeddings ? Ontology-based text classification ? Learning ontology embeddings ? Semantic role labelling ? Ontology reasoning with Deep Neural Networks ? Deep learning for ontological semantic annotations ? Spatial and temporal ontology embeddings ? Ontology alignment and matching based on deep learning models ? Ontology learning from text using deep learning models ? Unsupervised Learning ? Text classification using deep models ? Neural machine translation ? Deep question answering ? Deep text summarization ? Deep speech recognition ? 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 must be PDF documents written in English and formatted according to LNCS instructions for authors . Papers are to be submitted through the Easychair Conference Management System . We welcome the following types of contributions: - Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics - Short papers (4-6 pages): 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, there, and to the conference. For further instructions please refer to the ESWC 2021 page. **Publication** The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021. **Workshop chairs** *Sarra BEN ABBES*, Engie, France *Rim HANTACH*, Engie, France *Philippe CALVEZ*, Engie, France **Program Committee** Nada Mimouni, CNAM, France Lynda Temal, Engie, France Davide Buscaldi, LIPN, Universit? Sorbonne Paris Nord, France Valentina Janev, Mihajlo Pupin Institute, Serbia Mohamed Hedi Karray, LGP-INP-ENIT, Universit? de Toulouse, France Efstratios Kontopoulos, Catalink Ltd, Cyprus Wei Hu, Nanjing University, China Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico Linda Elmhadhbi, Universit? de Toulouse, France Amir Laadhar, Aalborg University, Denmark Yannis Haralambous, IMT Atlantique, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Tue Mar 9 08:36:23 2021 From: a.dorrn at fz-juelich.de (a.dorrn at fz-juelich.de) Date: Tue, 9 Mar 2021 14:36:23 +0100 Subject: Connectionists: Online Bernstein Conference 2021 - Call for Satellite Workshop Proposals Message-ID: <8cdadacb-e334-621a-f76c-bdadbb22e7da@fz-juelich.de> The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops at the online Bernstein Conference 2021 ____ BERNSTEIN CONFERENCE 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, from Sep 21 ? 23, 2021. ____ IMPORTANT DATES - Satellite Workshops: September 21, 2021, 2 pm ? 10 pm CEST - Main Conference: September 22 ? 23, 2021 - Deadline for Satellite Workshop proposal submission: May 10, 2021 - Notification of workshop acceptance: planned in June 2021 ____ WORKSHOP PROPOSALS Satellite Workshops of the Bernstein Conference provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a series of talks. The Workshop Selection Committee will take scientific excellence, topical relevance gender diversity and variety of career levels into account as their selection criteria. Workshop proposals are welcome as flexible formats of 4-8 hours (all workshops will start at 2 pm CEST, but will end based on individual schedules) Workshop Proposal Forms can be downloaded here: http://bit.ly/BC21_workshops Please submit the completed form to bernstein.conference at fz-juelich.de Deadline: May 10, 2021 ? not to be extended Workshop organizers and all speakers will receive a waiver for the online conference. ____ WORKSHOP SELECTION COMMITTEE Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) Matthew Botvinick Megan Carey Peter Dayan Brent Doiron Rainer Friedrich Julijana Gjiorgjieva (Program Chair) Ann Hermundstad Christian Machens (Program Vice Chair) 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 Juelich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 email: a.dorrn at fz-juelich.de 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Tue Mar 9 09:55:22 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Tue, 9 Mar 2021 15:55:22 +0100 Subject: Connectionists: [Call-for-Tutorials] ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems In-Reply-To: References: Message-ID: <5597b791-e755-a3b2-0972-d0aba5faa1b7@acsos.org> +*************************************************+ +********* ACSOS 2021 Call for Tutorials *********+ +*************************************************+ +???????????????????????????????????????????????? + +? Call for Tutorials -?????????????????????????? + +? 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????????????????? + +???????????????????????????????????????????????? + +++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++ *************************************************** **************** Important? Dates ***************** *************************************************** - Tutorial proposal deadline: July 2nd, 2021 - Tutorial acceptance notification: July 9th, 2021 - Tutorials dates: September 27th - October 1st, 2021 *************************************************** **************? Call for Tutorials? *************** *************************************************** The IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is the premier forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, vision papers, posters, demos, and a doctoral symposium. ACSOS is now seeking proposals for tutorials of broad interest about tools that are often used by the scientific community in the topics of the ACSOS conference. The most popular tutorials tend to focus on emerging technology and its application to self-adaptive systems areas - example technologies might include FPGAs and their toolchains; robotics control systems such as ROS; popular machine learning toolkits; or multi-agent systems experimentation tools. Within these technologies, a tutorial should have a clear focus on an ACSOS topic such as: - Autonomic and Self-* system properties, theory, engineering, and practice - Data-driven management - Mechanisms and principles for self-organisation and self-adaptation - Socio-technical self-* systems - Autonomic and self-* concepts applied to hardware systems - Convergence of artificial intelligence, cloud, and Internet of Things - Self-adaptive cybersecurity - Cross disciplinary research *************************************************** **************? Tutorial Proposals? *************** *************************************************** Proposals for tutorials should be organized as a preliminary call for participation with a maximum of two pages and contain the following information: - Title of the tutorial. - A brief technical description of the tutorial, specifying the tutorial goals, the technical issues that it will address, and the relevance of the tutorial to the main conference. The names, affiliations, phone numbers, and email addresses of the proposed tutorial organizer(s). - The primary email address for contacting the organizers. - Expected duration of the tutorial (max. 2:30). - Expected number of attendees. Tutorial proposals should be sent as a pdf via email to ?. ? Please note that tutorials might be held virtually. *************************************************** ** Responsibilities of ACSOS Tutorial Organizers ** *************************************************** - Produce a web page and a Call for Papers/Participation for their tutorial. The call must make it clear that at least one author of each accepted submission must register and present the paper. - Provide a brief description of the tutorial for the conference web page and program. - Advertise the tutorial (and the main ACSOS event) and issuing a call for papers and a call for participation. - Write an organizers? abstract of the tutorial. - Ensure that the tutorial organizers and the participants register for the tutorial and/or the main conference (at least one author must register for the paper to appear in the proceedings). - Commit to meet the following tentative deadlines (these are the latest possible deadlines): ??? * Camera-ready tutorial paper due: August 20 (synchronized with CRV deadline for the main conference) ??? * Tutorial notes for participants, submitted to tutorials chairs: August (synchronized with CRV deadline for the main conference) Important Notes: - ACSOS reserves the right to cancel any tutorial if the above responsibilities are not fulfilled, or if too few attendees register for the tutorial to support its running costs. If you have questions about your tutorial proposal, do not hesitate to contact the tutorial chairs: From perusquia at ieee.org Tue Mar 9 10:00:16 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Wed, 10 Mar 2021 00:00:16 +0900 Subject: Connectionists: 2nd call for papers ACII2021 Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Papers 28 Sep - 1 Oct 2021, Virtual event http://www.acii-conf.net/2021/ ======================================================= We are calling for papers to be presented at ACII 2021, the 9th International Conference on Affective Computing and Intelligent Interaction. All accepted papers are expected to be included in IEEE Xplore (conditional to the approval by IEEE Computer Society) and indexed by EI. A selection of the best articles at ACII2021 will be invited to submit extended versions to IEEE?s Transactions on Affective Computing. These will be published in a ?Best of ACII? special section of this premier journal. **Important dates** Conference Date: September 28 ? October 1, 2021 Paper Submission Deadline: April 9, 2021 Reviews Provided to Authors: May 25, 2021 Author Rebuttals Due: June 1, 2021 Notification of Acceptance: June 25, 2021 Camera Ready Papers Due: July 30, 2021 **General conference topics** *Ethical Issues in Affective Computing - Fairness and bias - Privacy - Transparency and explainability - Inclusive Design - Creating models for user diversity (ability, language, culture, gender, age) - Social impact of affective computing systems *Psychology & Cognition of Affect in Designing Computational Systems - Computational Models of Emotional Processes - Issues in Psychology & Cognition of Affect in Affective Computing Systems - Cultural Differences in Affective Design and Interaction *Recognition and Synthesis of Human Affect from ALL Modalities - Facial and Body Gesture Recognition, Modelling and Animation - Affective Speech Analysis, Recognition and Synthesis - Recognition and Synthesis of Auditory Affect Bursts (Laughter, Cries, etc.) - Motion Capture for Affect Recognition - Affect Recognition from Alternative Modalities (Physiology, Brain Waves, etc.) - Affective Text Processing and Sentiment Analysis - Multimodal Data Fusion for Affect Recognition - Synthesis of Multimodal Affective Behavior *Affective Interfaces - Design of Affective Loop and Affective Dialogue Systems - Human-Centred Human-Behaviour-Adaptive Interfaces - Interfaces for Attentive & Intelligent Environments - Mobile, Tangible and Virtual/Augmented Multimodal Proactive Interfaces - Distributed/Collaborative Multimodal Proactive Interfaces - Tools and System Design Issues for Building Affective and Proactive Interfaces - Evaluation of Affective, Behavioural, and Proactive Interfaces *Affective, Social and Inclusive Robotics and Virtual Agents - Emotion in Robot and Virtual Agent Cognition and Action - Embodied Emotion - Biologically-Inspired Architectures for Affective and Social Robotics - Developmental and Evolutionary Models for Affective and Social Robotics - Models of Emotion for Embodied Conversational Agents - Personality in Embodied Conversational Agents - Memory, Reasoning, and Learning in Affective Conversational Agents *Group Dynamics - Multiparty interaction - Multimodal interaction *Affective Databases and Annotation Tools *Applications - Health - Education - Entertainment - Consumer Products **Theme: Ethical Affective Computing** The Affective Computing technologies are deployed in a variety of applications, including but not limited to lie detection, mental health monitoring/diagnosis, and social/assistive robots. Sincerely, Monica Perusqu?a-Hern?ndez, PhD PDEng http://monicaperusquia.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Tue Mar 9 11:22:11 2021 From: nsmattei at gmail.com (Nicholas Mattei) Date: Tue, 9 Mar 2021 10:22:11 -0600 Subject: Connectionists: Final Call for Nominations: The 2021 ACM SIGAI Industry Award for Excellence in Artificial Intelligence Message-ID: [Apologies for Cross Posting, please distribute] Call for Nominations: The 2021 ACM SIGAI Industry Award for Excellence in Artificial Intelligence The ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) will be given annually to individuals or teams who have transferred original academic research into AI applications in recent years in ways that demonstrate the power of AI techniques via a combination of the following features: originality of the research novelty and technical excellence of the approach; importance of AI techniques to the approach; and actual or predicted societal impact of the application. Awardees receive a plaque accompanied by a prize of $5,000, and will be recognized at the International Joint Conference on Artificial Intelligence through an agreement with the IJCAI Board of Trustees. After decades of progress in the theory, research and development of AI, AI applications are increasingly moving into the commercial sector. A great deal of pioneering application-level work is being done by those transferring research results into industry?from startups to large corporations?and this is influencing commerce and the broad public in a wide variety of ways. This award complements the numerous academic, best-paper and related awards, in that it focuses on innovators of fielded AI applications. It is intended especially to recognize those who are not only active in the academic community, but also playing key roles in AI commercialization. The award honors these innovators and highlights their achievements (and thus the benefit of AI techniques) to computing professionals and the public at large. The award committee will consider applications that are open-source or proprietary and that may or may not involve hardware. Evaluation Criteria: The criteria include the following, but there is no fixed weighting of them: Novelty of application area Novelty and technical excellence of the approach Importance of AI techniques for the approach Actual and predicted societal benefits of the fielded application Eligibility Criteria: Any individual or team, worldwide, is eligible for the award. Nomination Procedure: One nomination and three endorsements must be submitted. The nomination must identify the individual or team members, describe their fielded AI system, and explain how it addresses the award criteria. The nomination must be written by a member of ACM SIGAI. Two of the endorsements must be from members of ACM or ACM SIGAI. Endorsements are intended to be brief statements of support (typically 1-2 paragraphs and should not exceed 1000 words) that provide additional perspective on the nomination itself. Please submit the nomination and endorsements as a single PDF file in an email to the chair of the committee, Craig Boutilier cboutilier at google.com We will acknowledge receipt of the nomination. Timeline: Nominations Due: March 15, 2021 Award Announcement: April 25, 2021 Award Presentation: Aug 21-26 at IJCAI 2021 Award Webpage: https://sigai.acm.org/awards/industry_award.html Award Call as a PDF: https://rebrand.ly/SIGAI-Industry-Award On Twitter: https://twitter.com/acm_sigai/status/1359214583756578816 -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 402B +1 504 862 8391 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From gaia.tavoni at wustl.edu Tue Mar 9 15:59:18 2021 From: gaia.tavoni at wustl.edu (Tavoni, Gaia) Date: Tue, 9 Mar 2021 20:59:18 +0000 Subject: Connectionists: Postdoc position in Theoretical/Computational Neuroscience at Washington University in St. Louis Message-ID: POSTDOC POSITION IN THE TAVONI LAB Applications for a postdoc position at the interface between physics and neuroscience are open at the newly set up Theoretical and Computational Neuroscience lab at Washington University in St. Louis. The selected candidate will work on one or more computational problems, involving models of plasticity and learning, memory and decision-making. A brief description of the projects can be found at http://neurosci.wustl.edu/People/Faculty/Gaia-Tavoni. The underlying research theme in the lab is the search for optimal principles of information representation and processing in the brain that underpin the flexibility of animal behavior. A range of approaches are used, including methods from statistical physics, information theory and dynamical systems. Washington University in St. Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. This includes a strong interest in computational neuroscience (see https://sites.wustl.edu/compneuro). The lab is based at the Medical School in the Department of Neuroscience and the Institute for Informatics, and expects to develop strong links with the Departments of Engineering, Physics and Mathematics. Job Requirements: Candidates with backgrounds in physics, mathematics, engineering or computer science, good programming skills, familiarity with neuroscience topics or a keen interest in computational neuroscience, proficiency in English, intellectual curiosity and drive are welcome to apply. How to Apply: For further information and applications please contact Dr Gaia Tavoni (gaia.tavoni at wustl.edu), including a detailed CV, a brief statement of research experience and interests (max 2 pages), names and email addresses of 2 references. Please indicate "Post-doc application" as the subject of your email. Applications will be reviewed on a rolling basis until position is filled. Gaia Tavoni Assistant Professor Department of Neuroscience Washington University School of Medicine East McDonnell Medical Sciences, 312B St. Louis, MO 63110 email: gaia.tavoni at wustl.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Tue Mar 9 11:56:49 2021 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Tue, 9 Mar 2021 16:56:49 +0000 Subject: Connectionists: New book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" In-Reply-To: References: , , , Message-ID: For anyone interested in how neurons do what they do, my new book ?The Spike: An Epic Journey Through the Brain in 2.1 Seconds? from Princeton University Press is available now from your favourite bookseller in hardback, ebook, and audiobook. It?s a rollercoaster ride through your brain, from eye to hand and everywhere in between, that sweeps through 30 years of the deepest neuroscience to the frontiers of what we know about how neurons work. >From the blurb: ?We see the last cookie in the box and think, can I take that? We reach a hand out. In the 2.1 seconds that this impulse travels through our brain, billions of neurons communicate with one another, sending blips of voltage through our sensory and motor regions. Neuroscientists call these blips ?spikes.? Spikes enable us to do everything: talk, eat, run, see, plan, and decide. In The Spike, Mark Humphries takes readers on the epic journey of a spike through a single, brief reaction. In vivid language, Humphries tells the story of what happens in our brain, what we know about spikes, and what we still have left to understand about them.? Watch the animated introduction: https://youtu.be/Rn-FAvM6wbE Read the reviews and details: https://press.princeton.edu/books/hardcover/9780691195889/the-spike Listen to a sample from the audiobook: https://soundcloud.com/user-671277267/the-spike-by-mark-humphries?in=user-671277267/sets/pup-audio-tracks Thanks! Mark Humphries This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stolu at elektro.dtu.dk Tue Mar 9 14:58:13 2021 From: stolu at elektro.dtu.dk (Silvia Tolu) Date: Tue, 9 Mar 2021 19:58:13 +0000 Subject: Connectionists: Call for papers to Research Topic Frontiers Neurorobotics - Deadline 30.04.2021 Message-ID: <70a37919ab3441969baacc9af7bddc91@elektro.dtu.dk> Research Topic Biomimetic Control Architectures for Robots Creating robots with the ability to think, perceive, learn, remember, reason, and interact like human beings can be achieved by taking inspiration from biological control systems. Nowadays, there is a wide variety of robots, ranging from rigid industrial robot arms to soft animal-like robots, that respectively operate in structured and static environments or in unstructured and dynamically-changing environments. Brain-inspired control architectures, mechanisms, and underlying principles can enable robots to operate in challenging scenarios as well as improve conventional robotic designs and control. However, their potential has not been widely implemented in such scenarios. This Research Topic seeks to explore the current progress in developing biomimetic control architectures that combine biologically based approaches (AI, neural networks) for the next generation of robotic systems. Precisely, this Research Topic investigates novel control strategies that originate from living organisms to reproduce complex tasks (e.g; sensing, walking, jumping, grasping or even flying) in artificial systems. This includes the study, design, and modelling of bio-inspired computing methods to achieve intelligence, flexibility and adaptation for robotic applications such as manipulation, grasping, and locomotion. Furthermore, we aim to highlight how the field of neurorobotics and computational neuroscience can contribute to the improvement of functionally and biologically complex models. We welcome articles on hybrid control approaches, as well as comparative studies. This topic will promote cross-disciplinary communication in the robotics and the neuroscience communities. We expect that this topic will serve as a platform to facilitate the communication between neuroscience and robotics researchers, and will inspire the fusion of neural processing and bio-inspired robotics research. Relevant submissions for this Research Topic include, but are not limited to, the following: - Bio-inspired learning architectures - Neural-learning-based adaptive control - Biomimetics robotics - Sensory-motor integration mechanisms - Biological AI - Benchmarking experiments/simulations on modelling and control strategies - Intelligent robotic behaviour - Bio-inspired robot control - Locomotion and Manipulation Control Keywords: biomimetic control, neural networks, adaptive learning, modelling and control, bio-inspired control, artificial intelligence Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review. https://www.frontiersin.org/research-topics/16670/biomimetic-control-architectures-for-robots [https://www.frontiersin.org/files/Special%20Topics/16670/Thumb_166.jpg] Biomimetic Control Architectures for Robots | Frontiers Research Topic www.frontiersin.org Creating robots with the ability to think, perceive, learn, remember, reason, and interact like human beings can be achieved by taking inspiration from biological control systems. Nowadays, there is a wide variety of robots, ranging from rigid industrial robot arms to soft animal-like robots, that respectively operate in structured and static environments or in unstructured and dynamically-changing environments. Brain-inspired control architectures, mechanisms, and underlying principles can enable robots to operate in challenging scenarios as well as improve conventional robotic designs and control. However, their potential has not been widely implemented in such scenarios. This Research Topic seeks to explore the current progress in developing biomimetic control architectures that combine biologically based approaches (AI, neural networks) for the next generation of robotic systems. Precisely, this Research Topic investigates novel control strategies that originate from living o Best regards / Med Venlig Hilsen, Silvia Tolu Associate Professor Neuro-Robotics Team leader https://bioroboticsdtu.wordpress.com/ Review Editor for Frontiers Neurorobotics Journal Automation and Control Group Department of Electrical Engineering Technical University of Denmark ------------------------------------ Richard Petersens Plads Building 326, room 106 2800 Kgs. Lyngby Direct +45 45253928 email: stolu at elektro.dtu.dk Contribute to my RESEARCH TOPIC in Frontiers https://www.frontiersin.org/research-topics/16670 [1614326327840] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OutlookEmoji-16143263278403f092315-7879-4310-80fc-ae9c7e47856d.png Type: image/png Size: 706834 bytes Desc: OutlookEmoji-16143263278403f092315-7879-4310-80fc-ae9c7e47856d.png URL: From dthakur at cdt.org Tue Mar 9 15:33:25 2021 From: dthakur at cdt.org (Dhanaraj Thakur) Date: Tue, 9 Mar 2021 15:33:25 -0500 Subject: Connectionists: Job opening at the Center for Democracy & Technology: Research Fellowship in Explainable AI Message-ID: <76dbda84-6edd-4fe4-e317-02e3dbaa7e5a@cdt.org> Hello everyone, We have a job opening at the Center for Democracy & Technology for a Research Fellow to work on several projects including explainable AI (this is a revision of a previously posted position). This is a great opportunity to use research to inform policy advocacy efforts in the US and EU. Please share with relevant colleagues. I am also happy to answer questions from interested applicants. Ideally applicants will have a PhD or similar research qualification and experience in a relevant discipline. This is a one-year full-time Fellowship, with the possibility of renewal for another year based on performance and availability of funds. Funding is available for approved research expenses associated with the Fellow?s project. We offer a competitive salary and excellent benefits. Applications are accepted on a rolling basis and interested persons are encouraged to apply as soon as possible. The position is based at CDT?s Washington, D.C. office (with remote work currently in effect due to COVID-19). Further details and application instructions are here . thanks, Dhanaraj -- *Dhanaraj Thakur* (he/him) | Research Director Center for Democracy & Technology |*cdt.org * *E:* dthakur at cdt.org | *P:*?+1 202 407 8849 | @thakurdhanaraj -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Wed Mar 10 03:35:38 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Wed, 10 Mar 2021 08:35:38 +0000 Subject: Connectionists: UK Healthcare text analytics conference (HealTAC) 2021 - **deadline extension** Message-ID: ****************************************** * Healthcare Text Analytics Conference* * HealTAC 2021* * June 17-18, 2021* * http://healtex.org/healtac-2021/ * ****************************************** We are delighted to announce HealTAC 2021, the fourth annual Healthcare Text Analytics Conference. Given the ongoing situation with the COVID-19 pandemic, HealTAC 2021 will be an *online* event, but if the circumstances allow, we aim to organise a *blended* conference, with some activities also delivered face-to-face in London, UK. As in previous years, HealTAC 2021 will bring the academic, clinical, industrial and patient communities together to discuss the current state of the art in processing healthcare free-text data and share experience, results and challenges. *Keynotes:* - *Dr Aur?lie N?v?ol* (Universit? Paris-Saclay, CNRS, LIMSI), who will discuss ?Responsible bioNLP in the making: contributions from ethics, reproducibility and the state of NLP? - *Prof Maria Liakata* (Queen Mary University, the Alan Turing Institute), who will talk about longitudinal models of NLP and their application to mental health. *Submissions:* We invite full and short papers, posters, PhD student/early postdoc papers, demos, tutorials and panel proposals that address any methodological or implementational aspect involved in processing and using healthcare free text data. Submissions are welcome from all disciplines interested in this area (NLP, speech processing, clinical and social care, legal, auditing etc.). For selected conference papers, there will be the option to submit a journal length paper for further peer review and publication in *Frontiers in Digital Health*. *Key dates:* - ***March 22nd 2021****:* deadline for long and short papers, tutorial and panel proposals - *April 12th 2021:* deadline for posters, PhD forum and demo proposals - *April 23rd, 2021:* notification of acceptance *Topics:* - Natural language processing of healthcare text - Information extraction: identification of clinical variables and their values in free-text - Speech analytics for healthcare applications - Medical ontologies and coding of healthcare text - Machine-learning approaches to healthcare text analytics - Transfer learning for healthcare text analytics - Processing patient-generated data (e.g. social media, health forums, diaries) - Processing clinical literature and trial reports - Integration of structured and unstructured resources for health applications - Text analytics and learning health systems - Explainable models for healthcare NLP - Real-time processing of healthcare free text - Real-world application of text analytics - Scalable and secure healthcare NLP infrastructures - Implementation of healthcare text analytics in practice: public engagement and trust - Sharing resources for healthcare text analytics (data and methods) - Reproducibility in the healthcare text analytics - Evaluation and assessment of text analytics methods - Text mining for veterinary medicine *Pre-conference event(s): *There will be pre-conference events organised on June 16th - more information to follow soon. *Details:* http://healtex.org/healtac-2021/ Follow the conference announcements on Twitter at *#HEALTAC2021* -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Mar 10 07:01:26 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 10 Mar 2021 14:01:26 +0200 Subject: Connectionists: Live e-Lecture by Prof. Andreas Geiger: 'Towards Robust End-to-End Driving', 23rd March 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures Message-ID: <046501d715a5$19d81e20$4d885a60$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Andreas Geiger (University of T?bingen, Germany), a prominent AI researcher internationally, will deliver the e-lecture: ?Towards Robust End-to-End Driving?, on Tuesday 23rd March 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/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/92425987539 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , Vision, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 ? 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, N. Cesa-Bianchi, F. Heintz, B. O?Sullivan, 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 thanh.dinhvan at gmail.com Wed Mar 10 22:40:07 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Thu, 11 Mar 2021 10:40:07 +0700 Subject: Connectionists: Final Call for Workshop and Tutorial Proposals for KR 2021 (Deadline: March 17th) Message-ID: <03c272b1-9511-1f58-a0c7-f5a3e275ab81@gmail.com> Call For Tutorial And Workshop Proposals 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de The 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021) solicits proposals for its tutorial and workshop programme. Tutorials and workshops will be held on the days of 6-8 November 2021, prior to the KR main technical program. The attendance of tutorials is complimentary to all KR registered participants. Workshop attendance will be subject to payment of a workshop fee, which is separate from that of the main conference. ** Submission Requirements for Tutorial Proposals ** KR tutorials are half-day or (exceptionally) full-day events that introduce general or special topics in KR and relevant neighboring areas. They can be first introductions to an established area or an emerging field, but also advanced courses on specialised methods or new approaches. The content should be adequately established and balanced, and not be limited to advertising an individual research work or product. A focus on specific tools and methodologies can still be useful to offer concrete examples and hands-on activities to participants. Each tutorial proposal should contain the following information: - Short title, presenters and proposed length (half-day is recommended, but an argument can be made for a full-day tutorial) - A half-page introduction to the tutorial's subject and relevance to KR - A half-page on the target audience, prerequisite knowledge, and learning goals - One page outline of the tutorial contents and intended structure - A brief resume of each presenter including name, affiliation, email address, ? and evidence of scholarship in the area, mentioning relevant publications or ? professional experience The main duties of the tutorial organizers are: - Setup a web-page for the tutorial, which should at least include the ? information from the proposal, tutorial materials and related references. - Deliver the tutorial at KR 2021. Virtual presentation will be allowed. Each accepted tutorial will entitle a discount on the KR registration fee for one tutorial presenter. ** Submission Requirements for Workshop Proposals ** Workshops provide a place to exchange ideas in emerging fields in KR research and application. They can take many forms, including mini-conferences (with peer-reviewed publications), competitions, working sessions (discussions, hackathons, etc.), line-ups of invited contributions, or a mix of these. Innovative formats are welcome, but organizers must provide means of estimating attendance and required length up-front (by number of submissions, invited speakers, or early registered participants). Workshop proposals can use up to 4 pages, which should include the following information: - Title and acronym of the workshop, - Workshop description: goals, format, and expected activities during the ? workshop; proposed duration (half day, one day, ...), - Audience: target audience, research groups in the area, planned or confirmed ? speakers, expected number of submissions/participants, - Related events: history of the workshop (if applicable), relationship to ? recent similar events, - Tentative list of PC members with their respective affiliations, - A brief resume of each organizer including name, affiliation, contact ? details, and evidence of scholarship in the area, mentioning relevant ? publications or professional experience. - Appendix: Tentative call for contributions The main duties of the chair of each accepted workshop are: - Set up a webpage for the workshop, - Advertise the workshop and distribute its call for papers/participation, - Coordinate the peer-reviewing of submitted contributions, - If workshop proceedings are desired, it is the duty of the organizers to ? produce and distribute their workshop proceedings, - Organize a schedule for the workshop in collaboration with the local ? organizers and the KR workshop co-chairs, and - Coordinate and moderate the workshop participation and content. We do not require workshop organizers to commit to physically attending the conference and will work with them to find a suitable (hybrid or fully virtual) format for each workshop. Each accepted proposal will be waived two workshop registrations to be used at the discretion of the organisers (e.g., to cover the registration of an invited speaker). KR reserves the right to cancel a workshop if it does not have enough participants to cover its running costs. ** Submission Instructions ** Each proposal (tutorial or workshop) should be in English and must be submitted electronically to the Workshop and Tutorial track of KR 2021 via EasyChair: https://easychair.org/conferences/?conf=kr2021 For all accepted proposals, KR will take care of all local and/or virtual arrangements. ** Important Dates ** Proposal submission deadline: 17 March 2021 Notification: 20 April 2021 Workshop paper submission deadline: 2 July 2021 Workshop paper notification: 6 August 2021 Workshop registration deadline: TBA Tutorial and workshop dates: 6-8 November 2021 ** Remote Participation Due to Covid-19 Pandemic ** We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing tutorial and workshop presenters to present remotely, and we will work with workshop organizers to find a suitable (hybrid or fully virtual) format for each workshop. Inquiries should be sent by email to the KR 2021 Tutorial and Workshop Chairs: Markus Kr?tzsch and Yongmei Liu kr21-workshops-tutorials at easychair.org From vvsharma at mit.edu Wed Mar 10 15:45:39 2021 From: vvsharma at mit.edu (Vivek Sharma) Date: Wed, 10 Mar 2021 20:45:39 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_papers=3A_Second_Large_?= =?windows-1252?q?Scale_Holistic_Video_Understanding_Workshop_=40_CVPR=922?= =?windows-1252?q?1?= Message-ID: [Apologies for multiple copies due to cross-posting. Please forward to colleagues who might be interested] Second Large Scale Holistic Video Understanding Workshop @CVPR?21 https://holistic-video-understanding.github.io/workshops/cvpr2021.html CVPR Dates: June 19-25, 2021 / Workshop Date: TBD PAPER SUBMISSION IS NOW OPEN! PAPER and ABSTRACT SUBMISSION DEADLINE: March 31, 2021 ACCEPTANCE NOTIFICATION: April 14, 2021 CAMERA READY: April 18, 2021 Please submit papers via CMT: https://cmt3.research.microsoft.com/HVU2021 WORKSHOP REGISTRATION: In conjunction with CVPR?21 OVERVIEW: In the last years, we have seen tremendous progress in the capabilities of computer systems to classify video clips taken from the Internet or to analyze human actions in videos. There are lots of works in video recognition field focusing on specific video understanding tasks, such as action recognition, scene understanding, etc. There have been great achievements in such tasks, however, there has not been enough attention toward the holistic video understanding task as a problem to be tackled. Current systems are expert in some specific fields of the general video understanding problem. However, for real-world applications, such as, analyzing multiple concepts of a video for video search engines and media monitoring systems or providing an appropriate definition of the surrounding environment of a humanoid robot, a combination of current state-of-the-art methods should be used. Therefore, in this workshop, we intend to introduce holistic video understanding as a new challenge for the video understanding efforts. This challenge focuses on the recognition of scenes, objects, actions, attributes, and events in the real-world user-generated videos. To be able to address such tasks, we also introduce our new dataset named Holistic Video Understanding (HVU dataset) that is organized hierarchically in a semantic taxonomy of holistic video understanding. Almost all of the real-world conditioned video datasets are targeting human action or sport recognition. So, our new dataset can help the vision community and bring more attention to bring more interesting solutions for holistic video understanding. The workshop is tailored to bringing together ideas around multi-label and multi-task recognition of different semantic concepts in the real-world videos. And the research efforts can be tried on our new dataset. HVU Dataset: https://github.com/holistic-video-understanding Topics: * Large scale video understanding * Multi-Modal learning from videos * Multi-concept recognition from videos * Multi-task deep neural networks for videos * Learning holistic representation from videos * Weakly supervised learning from web videos * Object, scene and event recognition from videos * Unsupervised video visual representation learning * Unsupervised and self-?supervised learning with videos INVITED SPEAKERS: * Cordelia Schmid, Google AI * Joao Carreira, Google DeepMind * Carl Vondrick, Columbia University * Dima Damen, University of Bristol * Sanja Fidler, University of Toronto * Kristen Grauman, University of Texas at Austin For questions about the HVU workshop, please contact fayyaz at iai.uni-bonn.de. Also, follow HVU on Twitter for the latest news: https://twitter.com/LSHVU or https://holistic-video-understanding.github.io/ Organizers: Mohsen Fayyaz, University of Bonn Ali Diba, KU Leuven Vivek Sharma, Harvard, MIT Juergen Gall, University of Bonn Ehsan Adeli, Stanford University Rainer Stiefelhagen, KIT Luc Van Gool, ETH Zurich & KU Leuven David Ross, Google AI Manohar Paluri, Facebook AI best, Vivek -- Vivek Sharma, Massachusetts Institute of Technology (MIT), USA Harvard Medical School, Harvard University, USA Web: http://media.mit.edu/~vvsharma -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Wed Mar 10 12:06:01 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Wed, 10 Mar 2021 17:06:01 -0000 Subject: Connectionists: [CFP]18th Int. Conf. on e-Business :: New Submission Deadline 01st of April Message-ID: <031e01d715cf$a9dc7550$fd955ff0$@insticc.org> CALL FOR PAPERS 18th International Conference on e-Business New Regular/Position Paper Submission Deadline: April 01, 2021 http://www.ice-business.org/ July 07 - 09, 2021 Online Streaming In Cooperation with ACM Special Interest Group on Management Information Systems The International Conference on e-Business, ICE-B 2021, aims at bringing together researchers and practitioners who are interested in e-Business technology and its current applications. The scope of the conference covers low-level technological issues, such as technology platforms, internet of things and web services, but also higher-level issues, such as business processes, business intelligence, value setting and business strategy. Furthermore, it covers different approaches to address these issues and different possible applications with their own specific needs and requirements on technology. These are all areas of theoretical and practical importance within the broad scope of e-Business, whose growing importance can be seen from the increasing interest of the IT research community. ICE-B is organized in 4 major tracks: 1 - Business Intelligence 2 - Business Models and Business Processes 3 - Collaboration and Interoperability 4 - Technologies and Applications Conference Chair(s) Marten van Sinderen, University of Twente, Netherlands Program Chair(s) Fons Wijnhoven, University of Twente, Netherlands With the presence of internationally distinguished keynote speakers: Jan Brocke, University of Liechtenstein, Liechtenstein Florian Matthes, Technische Universit?t M?nchen, Germany Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Kind regards, M?nica Saramago ICE-B Secretariat Web: http://www.ice-business.org/ e-mail: ice-b.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Thu Mar 11 03:27:14 2021 From: sias at sscc.fr (Symposium IAS ) Date: Thu, 11 Mar 2021 09:27:14 +0100 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems Message-ID: <001b01d71650$60af87b0$220e9710$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ in conjunction with " 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture . IAS modeling (formal models, SysML, UML, etc) . Correct-by-construction in IAS . MBSE, MDA and DDA for IAS . Virtualization and digital twins for IAS . Blockchains and decentralized architecture for IAS . IAS smart Networking . Communication protocols for IAS . Edges, Fog, and Cloud in IAS . Distributed database for IAS . Web services for IAS . Social aspects and human interaction in IAS IAS Analysis . Artificial intelligence, deep learning, and machine learning in IAS . Model checking and theorem proving for IAS . Abstraction and compositional verification for IAS . Optimization and SAT solvers for IAS . Dynamic and static analysis for IAS . Statistical analysis for IAS . Testing for IAS . Smart decision making in IAS . Fog and edge computing for IAS IAS Assurance . Security specification, requirements, and management in IAS . Security in distributed IAS . Modeling, analysis and detection of attacks in IAS . Data mining for cybersecurity in IAS . Security protocols for IAS . Safety policies for IAS . Safety reinforcement models in IAS . Safety standard analysis for IAS . Resilience metrics and models for IAS . Resilience strategies and plans for IAS . Recovery systems for IAS resiliency . Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases . Applications and Software Platforms for IAS . IoT and CPS for IAS . Smart cities . IAS for industrial and production CPS . Autonomous robots and vehicles . Human-Robot Interaction . Smart logistics (transportation, supply chain, etc) Important Dates . Submission Date: 25 April,2021 . Notification to Authors: 25 May, 2021 . Camera Ready Submission: 4 June, 2021 Submission System . https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From etienne.roesch at gmail.com Thu Mar 11 08:10:45 2021 From: etienne.roesch at gmail.com (Etienne B. Roesch) Date: Thu, 11 Mar 2021 13:10:45 +0000 Subject: Connectionists: Postdoctoral Research Assistant on the neuroscience of visual processing and decision making Message-ID: <5D0A975E-36AD-4B99-A5BC-FD9DB9245716@gmail.com> ** Postdoc opportunity ** for neuroscientists and/or neuro-enthusiast engineers We are seeking to appoint a highly motivated, adventurous, interdisciplinary neuroscientist to help us understand how humans prioritise information in support of the decisions they make. We focus on visual perception, attention and individual differences, and will be using psychometrics assessments and psychophysics measurements as well as concurrent EEG-fMRI recording. Full time, fixed term for up to 24 months, with possibility of extension. This role falls in the remit of CHAI, a new ?2.4M research project funded by the UK EPSRC and led by the Internet of Things and Security Centre (ISEC) at the University of Greenwich, in collaboration with University College London (UCL), the University of Bristol and Queen Mary University of London, as well as industrial partners. As a follow up to the ?1.5M EU project ?Cocoon: Emotion psychology meets Cyber Security? (2016-2020) led by us, which measured and established how users of connected Internet-of-Things devices react to cyber security risks, ?CHAI: Cyber Hygiene in AI-enabled domestic life? (2021-2024) examines the particular threats posed by Artificial Intelligence. CHAI addresses the challenge of figuring out how to best help users protect themselves against the security risks they will face in a world supported by AI (see: http://bit.ly/chai-introduction-video). The role advertised relates to the fundamental research on human decision making that will inform the technical and pedagogical developments of our partners in the project. The remit is intentionally flexible to allow emerging opportunities for collaborations and includes funding for networking and training. You will have: - excellent computer and statistical skills, including a programming language (Python) - experience analysing neuroimaging data, including EEG and/or fMRI - the motivation to pursue research at the interface between academia and industry ???????This work will be carried out in the Centre for Integrative Neuroscience & Neurodynamics (CINN), in the School of Psychology and Clinical Language Sciences, at the University of Reading. CINN is a research platform currently gathering over 100 research staff and students. It is host to a research-dedicated 3T PRISMA Siemens MR scanner, MR compatible EEG (Brain Products) and TMS (MagVenture) equipments, eye-tracking and versatile computing clusters (incl. cloud management and GPUs), all of which available to the project. Other research projects in the lab currently include the development of a novel Bayesian framework for the analysis of data in psychology and neuroscience, neuroimaging of visual perception and attention, as well as projects with industrial partners on topics as varied as machine learning and brain-computer interfaces for a wide range of sectors. CINN and the School of Psychology are a tight-knit community, committed to open research and reproducibility, at the forefront of what is done in the UK in many ways. The post holder will have the opportunity to participate in many initiatives, and propose new ones, including training events on reproducibility, and best practices in neuroimaging, data analysis and coding, including Software Carpentry workshops. The University of Reading was the first University in the UK to publicly commit to open research. It is one of the first institutional members of the UK Reproducibility Network, and a member of the data and software Carpentries. The University is signatory to the Leiden Manifesto for Research Metrics (http://leidenmanifesto.org), is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and is a Diversity Champion for Stonewall, the leading LGBT+ rights organisation in the UK. Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with the project?s needs. Deadline: 19/4 Interviews (online): Early may Informal inquiries to Etienne Roesch, e.b.roesch at readin.ac.uk More information at: https://jobs.reading.ac.uk/displayjob.aspx?jobid=7590 Etienne ? dr. Etienne B. Roesch | Associate Professor of Cognitive Science | Univ. Reading Deputy Director of Imaging, Centre for Integrative Neuroscience and Neurodynamics (CINN) Programme Director, MSc Cognitive Neuroscience, School of Psychology and Clinical Language Sciences meet: Book yourself in my University Outlook calendar www: etienneroes.ch | osf.io/ede88 | github.com/eroesch | rdg.ac.uk/cinn -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 833 bytes Desc: Message signed with OpenPGP URL: From jiangdm at nwpu.edu.cn Fri Mar 12 01:19:18 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Fri, 12 Mar 2021 14:19:18 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021 - 2nd Call for papers Message-ID: <388d2b52.b83d.1782516dbd2.Coremail.jiangdm@nwpu.edu.cn> Call for Long and Short Papers *************************************** ACM ICMI 2021: Call for Long and Short Papers http://icmi.acm.org/2021/index.php?id=cfp 18-22 Oct 2021, Montreal, Canada *************************************** Call for Long, Short and Blue Sky Papers The 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021) will be held in Montreal, Canada. ACM ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We are keen to showcase novel input and output modalities and interactions to the ICMI community. ACM ICMI 2021 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), Blue Sky papers, demonstrations, exhibits, doctoral spotlight papers, and late-breaking papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2021 will be published by ACM as part of their series of International Conference Proceedings and Digital Library, and the adjunct proceedings will feature the workshop papers We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the "novelty" criteria used during ICMI 2021 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2021 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery. - Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children's interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper. - Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated with new usages of an existing approach. This year's conference theme: In the past years and specially 2020, the questions of Behavioral Health and Virtual Connectivity have become central to our life. In particular, COVID-19 has disrupted our normal social life and interactions at work, bringing challenges but also opportunities to improve our team sociability and productivity. This situation calls for multimodal systems to enhance social and emotional remote interaction as well as to increase productivity during remote collaboration. Our behavioral health has been severely impacted the past months. The needs for non-intrusive sensing technology, smart environments (e.g., elderly home monitoring), wearable and assistive devices for rehabilitation, well-being and ageing population and multimodal interfaces to support behavioral changes have become a crucial necessity. As such, this year, ICMI welcomes contributions on our theme for Behavioral Health and Virtual Connectivity. Additional topics of interest include but are not limited to: - Affective computing and interaction - Cognitive modeling and multimodal interaction - Gesture, touch and haptics - Healthcare, assistive technologies - Human communication dynamics - Human-robot/agent multimodal interaction - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behavior generation - Multimodal datasets and validation - Multimodal dialogue modeling - Multimodal fusion and representation - Multimodal interactive applications - Speech behaviors in social interaction - System components and multimodal platforms - Visual behaviours in social interaction - Virtual/augmented reality and multimodal interaction Blue Sky Papers ACM ICMI 2021 is pleased to partner with the Computing Community Consortium (CCC) to initiate a new Blue Sky paper track that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative new directions. They may challenge existing assumptions and methodologies, or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, to argue rigorously, and to present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). Submissions should be 4 pages, independent of references. The CCC will further distribute and publicize any papers published in this track, and they will sponsor awards to honor the first ($1,000), second ($750), and third ($500) place papers, in the form of travel grants. The submission deadline is the same with main conference papers. Important Dates Paper Submission: May 26, 2021 Reviews to authors: July 7, 2021 Rebuttal due: July 12, 2021 Paper notification: July 26, 2021 Camera-ready paper: August 16, 2021 Presenting at main conference: October 18-22, 2021 ---------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, 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 Thu Mar 11 13:13:01 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 11 Mar 2021 10:13:01 -0800 Subject: Connectionists: CfP ISWC 2021 - 2nd Call for Research, In-Use, and Resource papers Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org In this announcement: 1. Call for Research papers 2. Call for In-Use papers 3. Call for Resource papers 1. Call for Research papers ******************************************* In this track of ISWC 2021, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key reviewing criteria. We also strongly encourage papers that provide links to the data sets, source code and queries used to evaluate their approach, and/or live deployments. Topics of interest and further details: https://iswc2021.semanticweb.org/research-track Track Chairs: - Eva Blomqvist (University of Link?ping, Sweden) - Andreas Hotho (University of W?rzburg, Germany) Contact: iswc2021-program at easychair.org 2. Call for In-Use papers ******************************************* The In-Use track at ISWC 2021 continues the tradition of demonstrating and sharing the increasing adoption of Semantic Web technologies by providing a forum for the community to explore the benefits and challenges of applying such technologies in concrete, practical use cases, beyond the research communities from which they originate, in contexts ranging from industry to government and society. The In-Use track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web technologies (including, but not limited to, technologies based on the Semantic Web standards). Topics of interest and further details: https://iswc2021.semanticweb.org/in-use-call Track Chairs: - Ying Ding (University of Texas at Austin, USA) - Payam Barnaghi (Imperial College London, UK) Contact: iswc2021-in-use at easychair.org 3. Call for Resource papers ******************************************* The ISWC 2021 Resources Track aims to promote the sharing of resources which support, enable or utilise semantic web research. Resources include, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that have contributed or may contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well-established practices within the Semantic Web community. As such, this track calls for contributions that provide a concise and clear description of a resource and its usage. Topics of interest and further details: https://iswc2021.semanticweb.org/resources-track Track Chairs: - Stefan Dietze (GESIS, Cologne & Heinrich-Heine-University D?sseldorf, Germany)_ - Achille Fokoue (IBM Research, Yorktown Heights, NY, USA) ***** Important Dates (common to all tracks) ***** - Abstracts Due: 12 April 2021 - Full Papers Due: 19 April 2021 - Author Rebuttals: 2?6 June 2021 - Notifications: 23 June 2021 *** All deadlines are AoE (Anywhere on Earth) *** 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 sepand.haghighi at yahoo.com Thu Mar 11 16:21:11 2021 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Thu, 11 Mar 2021 21:21:11 +0000 (UTC) Subject: Connectionists: PyCM 3.1 released: Machine learning library for confusion matrix statistical analysis References: <460533030.244871.1615497671582.ref@mail.yahoo.com> Message-ID: <460533030.244871.1615497671582@mail.yahoo.com> https://github.com/sepandhaghighi/pycm https://www.pycm.ir http://list.pycm.ir - requirements-splitter.py?added - sensitivity_index?method added?#357 - Test system modified?#361 - overall_statistics?function modified?#346 - HTML report modified?#367 - Document modified - References format updated?#173 - CONTRIBUTING.md?updated Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.nogales at ceiec.es Fri Mar 12 10:34:48 2021 From: alberto.nogales at ceiec.es (Alberto Nogales Moyano) Date: Fri, 12 Mar 2021 16:34:48 +0100 Subject: Connectionists: Open position @ Spain Lecturer/Researcher in Deep Learning Message-ID: CEIEC (www.ceiec.es) ? Universidad Francisco de Vitoria Job description We are looking for a researcher in Deep Learning techniques to join the CEIEC team made up of professors and researchers from the Polytechnic School. His research activity will include the achievement of research objectives, the publication of results in journals with impact (it is expected to obtain six-year terms on a regular basis), and the achievement and participation in competitive national and European R&D+I projects. It is expected to participate in the transfer of results through university-company collaboration projects at national or European level as well as the establishment of collaboration networks with other centers. It will propose a planning of both basic and applied research activity to achieve the objectives set by the Center in the short and medium term and will collaborate in the setting of long-term objectives. The contract includes undergraduate or master's degree teaching in subjects related to the field of Artificial Intelligence/Machine Learning and Data Mining. He may also be required to teach in other subjects. He will supervise CEIEC interns (final year students who carry out research assistance tasks) and will supervise and mentor them during their final bachelor?s project. Desired skills and experience Degree in Engineering or Physics or Maths with a doctorate in neuronal computing, although a Ph.D. in other Computer Sciences related areas will be valued. Alternatively, being close to defending your thesis will be appreciated. With research experience and with accredited knowledge (projects and/or publications indexed in JCR) in the following areas: ? Deep Learning, neural architectures, and their implementation using Keras and cognitive SW libraries/environments (TensorFlow, PyTorch, etc.) ? Experience in Linux/Windows development in Python and Bash as well as other scientific Python libraries (Scipy, Sklearn ...) ? Natural Language Processing knowledge will be valued: automatic generation (NLG), automatic translation (MT), automatic summarization, knowledge representation (NLU), seq2seq neural architectures (Transformer, BERT, etc.), and tools in the area (Moses, OpenNMT, StanfordNLP, etc.) ? Ability to communicate effectively at an international level with a high level of English (essential). Offer We offer a full-time, indefinite contract subject to the fulfillment of multi-annual objectives agreed between the management of the Center and the Researcher with a 1-year trial period. Contact: ceiec.info at ceiec.es -- [image: Mailtrack] Remitente notificado con Mailtrack 12/03/21 16:25:42 -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sun Mar 14 05:18:19 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sun, 14 Mar 2021 11:18:19 +0200 Subject: Connectionists: 8th International Symposium on End-User Development (IS-EUD 2021): Last Mile for Paper Submission Message-ID: *** Last Mile for Paper Submission *** 8th International Symposium on End-User Development (IS-EUD 2021): "Democratizing AI Development" July 6-8, 2021, Atlantica Miramare Beach Hotel 4*, Limassol, Cyprus http://cyprusconferences.org/iseud2021/ (Proceedings to be published by Springer) End-user development (EUD) aims at empowering end users to develop and adapt systems at a level of complexity that is adequate to their expertise, practices, and skills. EUD may occur along the entire software lifecycle, with the purpose of making users able to participate in their artifact development, not only at design time, but also during actual use. Originally, EUD was conceived as a more general concept than end-user programming; thus, scholars proposed methods, techniques and tools that allow end users to modify or extend software artifacts, such as spreadsheets, web applications, video games, and mobile applications. In the co-called Internet of Things era, end-user development moved on to address the problem of defining and modifying the behavior of smart environments, including smart objects, pervasive displays, smart homes, smart cities, and so on. Therefore, the term "end-user development" acquired a broader meaning covering approaches, frameworks and socio-technical environments that allow end users to express themselves in crafting digital artifacts that encompass both software and hardware technology. Recent research and technological trends like Artificial Intelligence (AI), Big Data, Cyber-Security, Robotics, and Industry 4.0, have contributed to renew the vision of end-user development, by providing tools and platforms that allow end users to harness the power of AI to create solutions involving Computer Vision, Image Processing, Conversational User Interfaces, as well as solutions for smart environments. Such developments lower the threshold for creating AI solutions, and expand the programmer base for such solutions, by extending AI application both for professional and discretionary use. IS-EUD is a bi-annual event for researchers and practitioners with an interdisciplinary approach to EUD, including: Human-Computer Interaction, Software Engineering, Computer Supported Cooperative Work, Human-Work Interaction Design, and related areas. IS-EUD 2021 Theme: Democratizing AI Development The 2021 edition of IS-EUD focuses on EUD for AI-based systems, where end users are called on to become end-user developers of intelligent agents, digital twins, collaborative and social robots. This edition would like to discuss the adoption of EUD in new fields, the proposal of novel EUD paradigms, and the impact of AI-based EUD in terms of user acceptability and appropriation. One of the most interesting topics in human-AI interaction is explainability of AI-based systems: research submissions presenting end- user oriented solutions to this problem will be particularly welcome. Theoretical and empirical work analyzing pros and cons of this new EUD wave, identifying requirements for end-user development of AI and acceptance of related solutions is invited. Software infrastructures and eco- systems supporting the reuse of solutions and the emergence of meta- design practices are of particular interest to this community, linking the challenges relating AI to topics central to the IS-EUD community. Conference Topics The conference welcomes contributions that: ? describe new, simple and efficient environments for end-user development ? describe new processes, methods and techniques for empowering users to create, modify and tailor digital artifacts ? present case studies and design implications on challenges and practices of end-user development ? develop theoretical concepts and foundations for the field of end-user development Specific topics include (but are not limited to) the following ones: ? User-oriented orchestration of AI-based devices ? Conversational interfaces for end-user development ? End-user development for big data visualization and exploration ? End-user development for collaborative robotics ? End-user development for social robotics ? End-user development in Industry 4.0 ? End-user development and explainable AI-based systems ? Cybersecurity and end-user development ? End-user development in daily life ? Technologies and infrastructures for end-user development ? Empirical studies of end-user development ? Recommender systems to support end-user development ? Cultures of participation and meta-design approaches ? Technology acceptance and adoption studies of end-user development technologies ? Evaluation of end-user development technologies ? Supporting creative work through end-user development Submissions We invite two types of paper submissions: 1. Regular papers, up to 16 pages, describing original unpublished research making a substantial contribution to the research field 2. Short papers, up to 8 pages, describing original unpublished research, making a small but solid contribution to the field All submissions will be reviewed by the Program Committee. The review process for this category is double-blind, thus submissions must be anonymized. Accepted papers (both regular and short) will appear in the archival proceedings of IS-EUD 2021, published by Springer in the Lecture Notes on Computer Science (LNCS) series, and will be presented in plenary sessions of the conference. Workshop proposals are invited (max 6 pages) aligned to the themes of the conference. Workshops provide an informal setting where participants have the opportunity to discuss specific topics in an atmosphere that fosters the active exchange of ideas. Workshops can be half day or one-day long and will be held on July 6, 2021. Accepted workshop proposals will be included in the IS-EUD 2021 adjunct proceedings, which will be submitted to http://ceur-ws.org for online publication. Submissions of regular papers, short papers and workshop proposals should indicate in the title page "Regular", "Short" or "Workshop" respectively. Demonstration and Work in Progress papers are also welcomed. A Demonstration paper (max 6 pages) should be structured according to the following: ? Abstract (150 words maximum) ? Topics to be covered and their relevance to the EUD community ? Detailed description of the planned demonstration activity ? Diagrams or screenshots (if relevant) ? Supporting documentation (e.g., project website) ? References Work in Progress submissions (max 6 pages) are intended for presenting preliminary results or tentative findings and position papers. The authors of accepted contributions will have the opportunity to give an oral presentation during parallel sessions. Finally, the IS-EUD Doctoral Consortium is intended to bring together PhD students working on theory and application of EUD. We particularly encourage students that are about half-way through their doctoral research to submit doctoral consortium contributions (max 6 pages) describing the topic of their PhD, their approach and a summary of their progress. Demonstration, Work in Progress and Doctoral Consortium submissions should indicate in the title page "Demo", "WiP" or "DC" respectively. Accepted submissions will be included in IS-EUD 2021 adjunct proceedings, which will be submitted to http://ceur-ws.org for online publication. Submissions of all types should be carefully formatted according to the Springer LNCS format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and should be submitted through the Easy Chair system at: https://easychair.org/conferences/?conf=iseud2021 Important Dates ? Regular and Short papers submission: March 22, 2021 ? Notification: April 14, 2021 ? Camera-ready: May 15, 2021 ? Workshop proposal submission: March 8, 2021 ? Notification: March 15, 2021 ? Camera-ready: May 31, 2021 ? Demonstration and Work in Progress submission: April 21, 2021 ? Notification: May 15, 2021 ? Camera-ready: May 31, 2021 ? Doctoral Consortium submission: April 21, 2021 ? Notification: May 15, 2021 ? Camera-ready: May 31, 2021 Organizers General Chairs ? Panos Markopoulos (Eindhoven University of Technology, The Netherlands) ? George A. Papadopoulos (University of Cyprus, Cyprus) Program Chairs ? Daniela Fogli (University of Brescia, Italy) ? Daniel Tetteroo (Eindhoven University of Technology, The Netherlands) Short papers Chairs ? Barbara Rita Barricelli (University of Brescia, Italy) ? Simone Borsci (University of Twente, The Netherlands) Work in Progress Chairs ? Jelle Van Dijk (University of Twente, The Netherlands) ? Carmen Santoro (ISTI-CNR, Italy) Demonstration Chair ? Stefano Valtolina (University of Milan, Italy) Workshop Chairs ? Styliani Kleanthous (Open University of Cyprus, Cyprus) ? Simone Stumpf (City University London, UK) Doctoral Consortium Chairs ? Monica Maceli (Pratt Institute, USA) ? Antonio Piccinno (University of Bari, Italy) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Sun Mar 14 05:51:58 2021 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sun, 14 Mar 2021 10:51:58 +0100 Subject: Connectionists: 1st CfP ACAIN2021, Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, October 5-8, 2021, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK In-Reply-To: References: Message-ID: _______________________________________________________________ Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience October 5-8, 2021 The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK W: https://acain2021.artificial-intelligence-sas.org E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/ACAIN.LakeDistrict/ EARLY REGISTRATION DEADLINE: July 15, 2021 https://acain2021.artificial-intelligence-sas.org/registration/ PAPER SUBMISSION DEADLINE: April 9 2021 https://acain2021.artificial-intelligence-sas.org/the-symposium/ SCOPE & MOTIVATION: The ACAIN 2021 is an interdisciplinary event. It will be a special opportunity to hear about cutting-edge research by leading scientists in AI and Neuroscience. The two days of keynote talks and oral presentations (the ACAIN Symposium, 7-8 October,2021) will be preceded by lectures of leading scientists (the ACAIN Course, October 5-6,2021). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on a more efficient synergy and cooperation between the two research communities. These are the goals of the International Course and Symposium ? ACAIN 2021, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2021 will be a special opportunity to hear about cutting-edge research by leading scientists in both fields. The two days of keynote talks and oral presentations (the Symposium) will be preceded by two days of lectures (the Course) for students and newcomers to this interdisciplinary field. Moreover, ICAN 2021 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. COURSE DESCRIPTION: https://acain2021.artificial-intelligence-sas.org/course-description/ LECTURERS: https://acain2021.artificial-intelligence-sas.org/course-lecturers/ Timothy Behrens, Nuffield Department of Clinical Neurosciences, University of Oxford, UK Topics: Computational Neuroscience, Behavioral Neuroscience, Decision Making, Learning Brain Connectivity Matthew Botvinick, DeepMind, UK Topics: Artificial Intelligence, Neuroscience, Cognitive Psychology, Cognitive Science Claudia Clopath, Computational Neuroscience Lab, Dept of Bioengineering, Imperial College London, UK Topics: Computational Neuroscience Karl Friston, Institute of Neurology, University College London, UK & Wellcome Trust Centre for Neuroimaging Topics: Neuroscience Timothy Lillicrap, Google DeepMind & UCL, UK Topics: Computational Neuroscience Rosalyn Moran, Department of Neuroimaging, King?s College London, UK Topics: Computational Neuroscience Maneesh Sahani,Gatsby Computational Neuroscience Unit, University College London, UK Topics: Theoretical Neuroscience, Machine Learning Tutorial Speaker(s) James C.R. Whittington, Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK More Speakers to be announced soon! SYMPOSIUM CALL FOR PAPERS: https://acain2021.artificial-intelligence-sas.org/the-symposium/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2021.artificial-intelligence-sas.org/program-committee/ Submission site: hhttps://easychair.org/conferences/?conf=acain2021 SPECIAL SESSION: https://acain2021.artificial-intelligence-sas.org/special-sessions/ "Free Will in Artificial Intelligence: What volition neuroscience says about free behaviour and implications for the design of autonomous artificial intelligence agents" Organizer and Chair: Catalin Mitelut, Center for Theoretical Neuroscience, Columbia University, New York, USA The human capacity for free will or volitional (i.e. voluntary) behaviour has intrigued scientists and philosophers for thousands of years. Over the last few decades, neuroscientists have uncovered many neural correlates of voluntary behaviours and identified several decision stages involving specific neuroanatomy and dynamics (Haggard 2008). While a reward-optimized decision framework lies at the core of most fast decisions it is supported by slower time-course motivational systems that identify long-term needs (e.g. feeding, offspring care; Maslow 1943, Kenrick 2010). In the absence of naturally evolved motivational drives, autonomous general artificial agents will require the design of motivational systems that will pose unique challenges to our understanding of free will while offering creative opportunities. This symposium seeks submissions focusing on extending evolutionary biology and the neuroscience of volition towards the design of internally motivated, freely behaving autonomous artificial agents. DEADLINES: * Paper Submission (if you want to submit a paper for the Symposium): April 9, 2021 (Anywhere on Earth). hhttps://easychair.org/conferences/?conf=acain2021 * Notification of Decision for Papers (Symposium): June 30, 2021 * Early Registration Deadline: July 15, 2021 * Late Registration: After July 15, 2021 * Oral/Poster Presentation Submission (if you want to submit a talk or a poster for the Course): July 15, 2021. * Notification of Decision for Oral/Poster Presentation (Course): by July 30, 2021. ORGANIZING COMMITTEE: https://acain2021.artificial-intelligence-sas.org/organization/ VENUE & ACCOMMODATION: The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK P: +44-1539-435592 E: reception at thewordsworthhotel.co.uk W: www.thewordsworthhotel.co.uk You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Wordsworth Hotel & SPA. The Form for accommodation, all meals (all breakfasts, lunches, dinners): TBA ACCOMMODATION: https://acain2021.artificial-intelligence-sas.org/accommodation/ ACTIVITIES: https://acain2021.artificial-intelligence-sas.org/activities/ WALKS: https://acain2021.artificial-intelligence-sas.org/walks/ REGISTRATION: https://acain2021.artificial-intelligence-sas.org/registration/ See you in Lake District in October! ACAIN 2021 Organizing Committee. E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/events/669587717185083/ W: https://acain2021.artificial-intelligence-sas.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Mar 15 05:26:25 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 15 Mar 2021 10:26:25 +0100 Subject: Connectionists: CFP French Regional Conference on Complex Systems May 26 - 28, 2021 Dijon Message-ID: *FRCCS 2021* *F*rench* R*egional* C*onference* on C*omplex* S*ystems May 26 - 28, 2021 Dijon, France You are cordially invited to submit your contribution until *April 06, 2021 (Firm deadline).* *FRCCS 2021 (F*rench *R*egional* C*onference on *C*omplex *S*ystems 2021) is the first edition of the French Regional Conference on Complex Systems. It aims to promote interdisciplinary exchanges between regional researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the perspective of complexity science. *Keynote Speakers *(To Be Updated) Guillaume Deffuant INRAE Julie Dugdale University Grenoble Alps Cesar A. Hidalgo University of Toulouse Denise Pumain Panth?on-Sorbonne University *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 2-3 pages. They should not exceed four pages. Submissions must follow the Springer publication format available on the journal Applied Network Science in the Instructions for Authors' instructions entry. All contributions should be submitted in *pdf format* via *EasyChair. * *Publication* *All Accepted submissions of unpublished work will be invited for publication in a special issue (fast track procedure) in **one of the journals:* o Applied Network Science edited by Springer o Complexity edited by Hindawi *List of Topics* *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies, and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *Committees* *GENERAL CHAIR* Hocine Cherifi LIB, UBFC, Dijon *ADVISORY BOARD* Cyrille Bertelle LITIS, Normastic, Le Havre David Chavalarias ISC PIF, Paris Chantal Cherifi DISP, Lyon Bertrand Jouve LISST, Toulouse Hamamache Kheddouci LIRIS, Lyon Benjamin Renoust Median Technologies, Sophia Antipolis 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 gpipa at uos.de Mon Mar 15 03:15:58 2021 From: gpipa at uos.de (Prof. Pipa) Date: Mon, 15 Mar 2021 08:15:58 +0100 Subject: Connectionists: Several funded PhD positions - in Computational Cognition at the interface of Machine Learning, Computational Neuroscience, and AI. Message-ID: <029901d7196b$0d04ea60$270ebf20$@uos.de> We offer in total 8 funded PhD positions associated with the graduate school on "Computational Cognition" (https://www.comco-cms.uni-osnabrueck.de/en/open_positions.html) , at the interface between Cognitive Science, Machine learning, Computational Neuroscience, and AI. The RTG Computational Cognition aims at reintegrating Cognitive Science and Artificial Intelligence. PhD students of the RTG will be educated in both subjects in order to combine the findings of these fields and thus to get a better understanding of human and machine intelligence. Research fields involved in the RTG are Neuroinformatics, NeuroBioPsychology, Bio-Inspired Computer Vision, Knowledge-Based Systems, Cognitive Natural Language Processing & Communication, Cognitive Modeling, Artificial Intelligence, Psycho/Neurolinguistics, Computational Linguistics and Cognitive Computing. The RTG focuses on the integration of two research fields. Further information on the RTG is available at www.comco.uni-osnabrueck.de. Detailed information on the core areas of the offered PhD projects can be obtained from the spokesmen of the RTG, Prof. Dr. Gordon Pipa (gpipa at uni-osnabrueck.de) and Prof. Dr. Peter K?nig (pkoenig at uni-osnabrueck.de). The RTG is incorporated into the Cognitive Science PhD program founded in 2002. PhD students of the RTG will take advantage of an interdisciplinary environment, which nevertheless focuses on a common research topic and offers a broad range of methodological synergies between the projects. Required Qualifications: Applicants are expected to have an academic degree (Master/Diploma), experience in at least one of the domains listed above, proven experience in interdisciplinary work as well as a good command of the English language. Osnabr?ck University is committed to helping working/studying parents balance their family and working lives. Osnabr?ck University seeks to guarantee equality of opportunity for women and men and strives to correct any gender imbalance in its schools and departments. If two candidates are equally qualified, preference will be given to the candidate with disability status. Applications with the usual documentation should be submitted by e-mail in a single PDF file to the director of the Institute of Cognitive Science, Prof. Dr. Gunther Heidemann (gheidema at uni-osnabrueck.de) with a cc to office at ikw.uni-osnabrueck.de no later than April 19, 2021. To inquire additional information on for example specific research projects you can contact the coordinator Gabriela Pipa (gapipa at uos.de). ---------------------------------------------------------------------------- ----------------------------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabr?ck, Germany tel.??????????????????? +49 (0) 541-969-2277??? fax (private).? +49 (0) 5405- 500 80 98 home office.? +49 (0) 5405- 500 90 95 e-mail:?????????????? gpipa at uos.de webpage:???????? http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin:??? ????????https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges at uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS From doya at oist.jp Sun Mar 14 11:49:11 2021 From: doya at oist.jp (Kenji Doya) Date: Sun, 14 Mar 2021 15:49:11 +0000 Subject: Connectionists: Faculty Positions at Okinawa Institute of Science and Technology Graduate University Message-ID: <23D53C99-350E-4418-94F6-CB8F30451C53@oist.jp> Okinawa Institute of Science and Technology Graduate University (https://www.oist.jp) invites applications for new faculty positions as part of its planned expansion. Applications are invited in, but not limited to, the targeted areas including artificial intelligence, machine learning, data science, and smart machines. Excellent scholarship and creativity are the main criteria for appointment. Successful candidates are expected to establish an active and independent research program, supervise Ph.D. students, teach graduate courses, and perform university services as required. Appointments will be Tenure-Track or Tenured. The starting date is negotiable. The application deadline is April 30, 2021. Please refer to application information: https://groups.oist.jp/facultypositions OIST offers a world-class research environment with an international research community and opportunities for interdisciplinary research, with currently 81 Research Units and no departmental boundaries (https://www.oist.jp/research-units). Each faculty will run an independent Research Unit with generous internal funding, including funds for several research staff. OIST provides cutting-edge core research facilities, including imaging, sequencing, instrumentation, nanofabrication, and high-performance computing, with dedicated support staff. Research and teaching are conducted in English. The campus is situated in a beautiful subtropical setting in Okinawa, Japan. Please see the video: https://www.oist.jp/news-center/videos/university-future The University strongly encourages applications from women and other underrepresented groups. Inquiries: Dr. Milind Purohit Dean of Faculty Affairs faculty-recruiting at oist.jp ---- 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 lucas.bechberger at uni-osnabrueck.de Mon Mar 15 04:53:04 2021 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Mon, 15 Mar 2021 09:53:04 +0100 Subject: Connectionists: Second Call for Abstracts CARLA 2021 Message-ID: <87e0ab12-8504-ecab-e83e-37feb79cfa1e@uni-osnabrueck.de> Thefirst international workshop ?Concepts in Action: Representation, Learning, and Application? took place at theInstitute of Cognitive Science at Osnabr?ck University in 2018, followed by a virtual event as part of the Bolzano Summer of Knowledge (BOSK) in 2020. Following its great success, we are organizing a third international workshop ?Concepts in Action: Representation, Learning, and Application? (CARLA) in 2021. We invite the submission of abstracts to the workshop. Time and Venue: Date:16.09.2021 - 17.09.2021 Venue:Bolzano & virtual (hybrid event), co-located with FOIS 2021 (13.09.2021 - 16.09.2021) and ICCS 2021 (20.09.2021 - 23.09.2021). IMPORTANT:CARLA 2021 is currently planned to be conducted as a hybrid event allowing for both physical and virtual attendance. More information about how to attend will follow. Invited Talks: Monique Flecken , Max Planck Institute for Psycholinguistics, Nijmegen Antonio Lieto , Department of Computer Science, University Turin Call for Abstracts: "Concepts in Action: Representation, Learning, and Application" (CARLA) is an international workshop aimed at fostering interdisciplinary exchange about research on concepts. It invites contributions from all fields related to cognitive science, including (but not limited to) linguistics, artificial intelligence, psychology, philosophy, logic, and computer science. The workshop is open for research on any aspect of concepts, but there are three overarching topics that are of special interest with the following (not exhaustive) list of exemplary subtopics: * Representation: How can we formally describe and model concepts? o Conceptual Spaces, Conceptual Domains, Frames o Lexical Semantics and Pragmatics o Grounded Cognition, Embodiment, 4E Cognition * Learning: Where do concepts come from and how are they acquired? o Evolution of Concepts o Cross-Cultural and Social Aspects of Concepts o Developmental Psychology of Concepts * Application: How are concepts used in cognitive tasks? o Event Cognition o Artificial Agents o Concept Blending, Metaphors, Creativity This workshop provides an excellent opportunity to present and discuss ongoing research on concepts, both from theoretical/formal and applied/experimental viewpoints. We invite concept researchers from all fields related to cognitive science to submit abstracts to the workshop. Submission and Publication: We invite the submission of abstracts via EasyChair untilMay 16, 2021. Acceptance notifications will be sent out by June 16, 2021. The abstracts should use two to three pages (including references) and should be uploaded as pdf based on the following template (LaTeX or Word): LINK We will use the following EasyChair instance to collect and review the submissions: https://easychair.org/conferences/?conf=carla2021 Depending on the number and quality of the received submissions, selected contributions may be published after the workshop. More information on this will follow. More Information: You can find more information on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2021.html If you have any further questions, please feel free to contact us via concepts at uos.de . Organizers: Lucas Bechberger , Institute of Cognitive Science, Osnabr?ck University Viviana Haase, Institute for Philosophy II, Ruhr University Bochum Nicol?s Araneda Hinrichs, Institute for Applied Linguistics and Translatology, University Leipzig & Laboratory for Psycholinguistics, University Concepci?n Mingya Liu , Department of English and American Studies, Humboldt University of Berlin Alessandro Panunzi, Universit? degli Studi di Firenze; University of Florence Stefan Schneider Corina Str??ner , Emmy Noether Group ?From perception to belief and back again?, Ruhr University Bochum Paola Vernillo, Universit? degli Studi di Firenze; University of Florence -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail: lucas.bechberger at uni-osnabrueck.de Homepage: https://www.lucas-bechberger.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5406 bytes Desc: S/MIME Cryptographic Signature URL: From wduch at umk.pl Mon Mar 15 05:58:14 2021 From: wduch at umk.pl (Wlodzislaw Duch) Date: Mon, 15 Mar 2021 10:58:14 +0100 Subject: Connectionists: =?utf-8?q?Open_positions_=40_Nicolaus_Copernicus_?= =?utf-8?q?University=2C_=E2=80=9EDynamics=2C_Mathematical_Analysis?= =?utf-8?q?_and_Artificial_Intelligence=E2=80=9D_Excellence_Center?= Message-ID: <006001d71981$b7ed8070$27c88150$@umk.pl> Nicolaus Copernicus University in Toru?, one of 10 research universities in Poland, created a year ago an Excellence Center ?Dynamics, Mathematical Analysis and Artificial Intelligence? https://damsi.umk.pl/en/ We have several open positions for young and experienced researchers from abroad. For the list of recent publications that will help to define our interest please see here https://damsi.umk.pl/en/research/recent-publications/ We are also opened to new topics of interest that will fit to our profile. Our group ?Neuroinformatics and Artificial Intelligence? is perhaps most relevant to the Connectionist list. Toru? is the birthplace of Nicolaus Copernicus, this is where scientific revolution has started. It is a nice medieval city with about a quarter of million of people, basically university town. Cost of living are relatively low, see this comparison https://www.expatistan.com/cost-of-living/comparison/berlin/torun Grant announcements are at this page https://damsi.umk.pl/en/ Below I have included main information. For young researchers from abroad, 2nd edition Director of Excellence Center ?Dynamics, Mathematical Analysis and Artificial Intelligence? announces the contest for four 6 or 12 months grants for young researchers from abroad Only those young researchers (maximally 5 years after PhD*) from abroad who during the last 3 years did not stay in Poland for a period longer than 6 months and whose research profile is compatible with the profile of the Center are eligible to enter the contest. Candidates representing at least one of the following areas: * dynamics and/or differential equations and/or analytic/algebraic number theory, * concurrency theory and/or data mining, * evolution of open quantum systems and/or quantum entanglement, * neuroinformatics and/or neuroimaging and/or network neuroscience and/or AI/ML will be preferred. Conditions of the grant: 15 000 PLN (gross) for the first month and 10 000 PLN (gross) for each following month. Expected realization of the grant commences on 1.10.2021. (The starting date can be reconsidered because of unforeseen implications of the continued COVID-19 pandemic.) Documents including: CV, list of publications, recommendation letter(s), (optionally) list of subjects of interest during realization of the grant, should be submitted to damsi at umk.pl by 30.06.2021. And two more senior positions: Director of Excellence Center ?Dynamics, Mathematical Analysis and Artificial Intelligence? announces the contest for two 6 or 12 months grants for experienced researchers from abroad This contest is aimed at experienced researchers (at least 6 years after the PhD) with outstanding scientific achievements. Only those scientists from abroad who during the last 3 years did not stay in Poland for a period longer than 6 months and whose research profile is compatible with the profile of the Center are eligible to enter the contest. Candidates representing at least one of the following areas: * dynamics and/or differential equations and/or analytic/algebraic number theory, * concurrency theory and/or data mining, * evolution of open quantum systems and/or quantum entanglement, * neuroinformatics and/or neuroimaging and/or network neuroscience and/or AI/ML will be preferred. Conditions of the grant: 15 000 PLN (gross) for the first month and 10 000 PLN (gross) for each following month. Expected realization of the grant commences on 1.10.2021. (The starting date can be reconsidered because of unforeseen implications of the continued COVID-19 pandemic.) Documents including: CV, list of publications, recommendation letter(s), (optionally) list of subjects of interest during realization of the grant, should be submitted to damsi at umk.pl by 30.06.2021. Prof. W?odzis?aw Duch Fellow, International Neural Network Society, Past President, European Neural Network Society Head , Neuroinformatics and Artificial Intelligence Group, Center of Excellence, and Neurocognitive Laboratory, CMIT Nicolaus Copernicus University, Poland Google: Wlodzislaw Duch -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Mon Mar 15 08:30:02 2021 From: cognitivium at sciencebeam.com (Mary) Date: Mon, 15 Mar 2021 16:00:02 +0330 Subject: Connectionists: You are invited to register for the Neuroscience Workshops! Message-ID: <202103151230.12FCUIiG034934@scs-mx-04.andrew.cmu.edu> Dear researchers, neuroscientists, electrophysiologists and enthusiasts, ScienceBeam Academy has the pleasure to invite you to register for upcoming neuroscience online courses as described below: 1) ?Deep Dive into Event Related Potentials (ERPs) Technique? Online Course Prospective overview of the sessions: 1. Basics of EEG signal and EEG recordings ? Overview of the theory behind neural signals (History) ? Generation and Propagation of ERP and EEG ? Different EEG Recording Systems with its specifics (Amplifier, Electrodes etc.) ? 10/20 Electrode System, Reference, Montages, Impedance, etc. ? Brain Rhythms and Cognition (Based on Clinical and Research Studies) 2. Basics of ERP Components ? ERP Components (MMN, P300, N400, N170, VPP, CNV, Sensory ERP Components, etc.) ? Difference Wave, Forward-Inverse Problem ? Challenges in ERP Source Localization ? Peaks and Components 3. EEG-ERP Prepossessing with Various Preprocessing Pipelines ? Basic Principles and Challenges ? Filtering, Baseline Correction, Interpolation, Artifact Rejection and Correction, Re-referencing, ICA etc. ? Pipelines: MAKATO, HAPPE, BEAP and etc. 4. Experimental Design ? Principles of Experimental design for ERP in Clinical and Research Settings ? Significance of Measurement Window ? Common Design Problems and Solutions ? Case Studies on research articles with good and bad design 5. Basic Analysis ? Quantifying ERP Amplitudes and Latencies ? Introduction to the Analysis tool boxes (EEGLAB, ERPLAB) ? FFT, Time Frequency Analysis 6. Common Mistakes (in lack of parameters) ? Overlapping ? Filtering ? Epoching ? Baseline Correction ? Measurement Window ? Instructor: Mrs. Pragati Gupta, M.Sc. in Neuro-psychology from Gujarat Forensic Sciences University, India and a Student Member at Indian Academy of Neuroscience ? Course Length: 7-sessions online course ? Introductory webinar: https://sciencebeam.com/erplab-webinar/ ? Registration: https://sciencebeam.com/pragati-gupta-course/ o Deadline: March 25, 2021 2) ?Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue? Online Course. Theoretical and experimental hands-on course including lab sessions, in which you will learn about extracellular recording from rat models and also working with single-unit and Local Field Potential (LFP) data. Prospective overview of the sessions: 1. Session 1: ? Systems and complex system in neurosciences ? Origins of electrophysiological signals and measurements ? Electrophysiology and relevant features for computational modeling: o Membrane potential o Raster plot o Local field potential 2. Session 2: ? Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. ? Introduction to dynamical systems for neurosciences: o Differential equations o Phase space representation o Stability and domain of attraction ? Unidimensional and bidimensional models o Dynamics of integrate-and-fire models o Repertoire of 2 D models o Reduction of Hodgkin-Huxley model 3. Session 3: ? 2D and Higher dimensions models: o Particular role of the reset o Possibility of chaos ? Models of synapses ? Limits of models: o Biophysical and mechanistic description o Phenomenology ? Introduction to the first lab session (with Brian2 simulator) 4. Session 4: ? First Lab Session: o Repertoire of electrophysiological patterns o Models of networks o Global measure on simulations 5. Session 5: ? Second lab session: o analysis of the results o relations to the data ? Conclusive discussion ? Instructor: Dr. Damien Depannmaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France ? Course Length: 5-sessions hands-on online course ? Introductory webinar: https://sciencebeam.com/modeling-electrophysiological-activities/ ? Registration: https://sciencebeam.com/online-course-modeling-electrophysiological-activities-from-single-neuron-to-nervous-tissue/ o Deadline: April 1st, 2021 If you require any further information, feel free to contact me: workshop at sciencebeam.com Mary Reae Human Neuroscience Department Manager www.sciencebeam.com WhatsApp Num.: 008613380781282 -------------- next part -------------- An HTML attachment was scrubbed... URL: From aw665 at cam.ac.uk Mon Mar 15 06:45:18 2021 From: aw665 at cam.ac.uk (Adrian Weller) Date: Mon, 15 Mar 2021 10:45:18 -0000 Subject: Connectionists: Reminder, Deadline March 18! Opportunities to work on Fairness, Interpretability and/or Robustness in Cambridge UK Message-ID: <007f01d71988$4ab288a0$e01799e0$@cam.ac.uk> Come and join the machine learning group at the University of Cambridge in the UK to work on Trustworthy Machine Learning, with a focus on Fairness, Interpretability or Robustness. We'll be building foundational technical theory and methods, working with partners in specific application settings in domains including healthcare and criminal justice. We are looking for ambitious, creative researchers to contribute to these themes. One area of interest is trying to ensure good performance not only of the AI system, but human-machine teams. Please apply by March 18 for start date Oct 1 or sooner. Research assistant/associate https://www.jobs.cam.ac.uk/job/28786/ Senior research associate https://www.jobs.cam.ac.uk/job/28776/ We are always looking to connect with collaborators and stakeholders broadly. Please be in touch if interested. Best wishes, Adrian -------------------------------------------------- Adrian Weller http://mlg.eng.cam.ac.uk/adrian/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Mar 15 07:17:00 2021 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 15 Mar 2021 12:17:00 +0100 Subject: Connectionists: Reminder: Call for SDM21 Doctoral Forum Participation and Student Support Message-ID: Dear Colleague, [apologies if you received the same message more than once!] ? We are very excited to bring to your attention that SDM 2021 will be hosting a Doctoral Forum which will provide junior and senior PhD students an opportunity to present their thesis work, receive feedback and mentorship from senior mentors, and network with peers and senior mentors.? ? You can find more information, including the submission link here:?https://www.siam.org/conferences/cm/program/special-events/sdm21-special-events (under "Doctoral Student Forum Participants and Student Travel Scholarship Applications?) The submission deadline is March 22 and at the time of submission we only require a title and description of the work to be presented as a poster. ? There are funding opportunities for students (both domestic to the US and international): ? NSF Student Travel Grant There is limited support for students at U.S.-based institutes to attend SDM 2021 thanks to an NSF grant. Any full-time student in good standing is eligible to receive the award. First-time attendees and underrepresented groups (women and underrepresented minorities) may be given preference. Please fill out:?https://forms.gle/Pis1LrvV3DRepiyV7[https://forms.gle/Pis1LrvV3DRepiyV7]? ? SIAM student support: Additional travel support for students to attend SDM21, independent from their location and whether they attend the Doctoral forum, is available from SIAM, in the form of Student Travel Awards. https://www.siam.org/conferences/cm/lodging-and-support/travel-support/sdm21-travel-support[https://www.siam.org/conferences/cm/lodging-and-support/travel-support/sdm21-travel-support]? ? Please feel free to disseminate this call to your colleagues, collaborators, students, and anyone who you may think may be interested in this. ? Joyce Ho (joyce.c.ho at emory.edu[mailto:joyce.c.ho at emory.edu]) and Vagelis Papalexakis (epapalex at cs.ucr.edu[mailto:epapalex at cs.ucr.edu]) SDM?21 Doctoral Forum co-chairs From thanh.dinhvan at gmail.com Mon Mar 15 11:28:28 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Mon, 15 Mar 2021 22:28:28 +0700 Subject: Connectionists: Final CFP for KR 2021: 18th Conference on Principles of Knowledge Representation and Reasoning (Abstracts due March 24th) Message-ID: <44acc2e8-8d26-c1b0-36d3-2e3a671c6695@gmail.com> CALL FOR PAPERS 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam -> see note below about remote participation https://kr2021.kbsg.rwth-aachen.de Knowledge Representation and Reasoning (KR) is a well-established and lively field of research. In KR a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems. Consequently, KR has contributed to the theory and practice of various areas in AI, including automated planning and natural language understanding, and to fields beyond AI, including databases, verification, software engineering, and robotics. In recent years, KR has contributed also to new and emerging fields, including the semantic web, computational biology, cyber security, and the development of software agents. The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. ** SCOPE ** We solicit papers presenting novel results on the principles of KR that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show clear use of, or contributions to, the principles or practice of KR. Topics of interest include, but are not limited to: - Applications of KR - Argumentation - Belief revision and update, belief merging, information fusion - Commonsense reasoning - Computational aspects of knowledge representation - Concept formation, similarity-based reasoning - Contextual reasoning - Decision making - Description logics - Explanation finding, diagnosis, causal reasoning, abduction - Geometric, spatial, and temporal reasoning - Inconsistency- and exception-tolerant reasoning, paraconsistent logics - KR and autonomous agents and multi-agent systems - KR and cognitive robotics - KR and cyber security - KR and education - KR and game theory - KR and machine learning, inductive logic programming, knowledge acquisition - KR and natural language processing and understanding - KR and the Web, Semantic Web - Knowledge graphs and open linked data - Knowledge representation languages - Logic programming, answer set programming - Modeling and reasoning about preferences - Multi- and order-sorted representations and reasoning - Nonmonotonic logics, default logics, conditional logics - Ontology formalisms and models - Ontology-based data access, integration, and exchange - Philosophical foundations of KR - Qualitative reasoning, reasoning about physical systems - Reasoning about actions and change, action languages - Reasoning about constraints, constraint programming - Reasoning about knowledge, beliefs, and other mental attitudes - Uncertainty, vagueness, many-valued and fuzzy logics The KR2021 program will also feature workshops and tutorials, solicited by means of an open call, as well as a doctoral consortium. ** TRACKS AND SPECIAL SESSIONS ** In addition to the main conference track, KR2021 will host the following tracks and sessions: * Applications and Systems Track * Recently Published Research Track * Special Session on KR and Machine Learning * Special Session on KR and Robotics ** IMPORTANT DATES ** Submission of title and abstract:???? March 24, 2021 Paper submission deadline:????????? March 31, 2021 Author response period:???????? May 24-26, 2021 Notification:???????????????? June 15, 2021 Camera-ready papers:???????????? July 14, 2021 Conference dates:???????????? November 6-12, 2021 The Recently Published Research track, workshops, tutorials, and the doctoral consortium have different submission and notification dates, which are listed on the conference website. **AUTHOR GUIDELINES AND SUBMISSION INFORMATION** All submissions must be written in English and formatted using the style files provided on the KR'21 website. Papers must be submitted in PDF format, through the EasyChair conference system: https://easychair.org/conferences/?conf=kr2021 For the main conference track and additional tracks/sessions (except for the Recently Published Research track), we invite - Full papers of up to 9 pages, including abstract, figures, and appendices ? (if any), but excluding references and acknowledgements. - Short papers of up to 4 pages, excluding references and acknowledgements. Both full and short papers must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings, and to papers uploaded at public repositories (e.g., arXiv). Accepted full papers and short papers will be published in the KR2021 proceedings. Authors may optionally submit a separate PDF containing additional information that substantiates the claims made in their paper, such as proof details, additional experimental results, further details on experimental design, etc. If authors wish to make such material available to reviewers, they should do so by submitting a file through EasyChair, rather than by including links or references in their paper. Please note that the main paper must be self contained, as the supplementary material will not be published. Moreover, reviewers will have the option but not the obligation to consult the supplementary material. The preceding submission guidelines apply to the main track, as well as to the Applications and Systems track, the KR & Machine Learning special session, and the KR & Robotics special session. By contrast, different submission guidelines apply to the Recently Published Research track, workshops, tutorials, and the doctoral consortium, please consult the KR21 website for further information. ** REMOTE PARTICIPATION DUE TO COVID-19 PANDEMIC ** We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing authors of accepted papers to present virtually and will work hard to enable the best possible experience for all conference participants. ** CONFERENCE CHAIRS ** General: ?? Esra Erdem (Sabanci University, Turkey) Program: ?? Meghyn Bienvenu (CNRS & University of Bordeaux, France) ?? Gerhard Lakemeyer (RWTH Aachen University, Germany) Applications and Systems Track: ?? Martin Gebser (University of Klagenfurt, Austria) ?? Ulrike Sattler (University of Manchester, UK) Recently Published Research Track: ?? Vladimir Lifschitz (University of Texas at Austin, USA) ?? Pierre Marquis (Artois University & Institut Universitaire de France, France) Special Session on KR & Machine Learning: ?? Vaishak Belle (University of Edinburgh, UK) ?? Luc de Raedt (KU Leuven, Belgium) Special Session on KR & Robotics: ?? Alessandro Saffioti (University of ?rebro, Sweden) ?? Mary-Anne Williams (University of Technology Sydney, Australia) Workshop and Tutorials: ?? Markus Kroetzsch (TU Dresden, Germany) ?? Yongmei Liu (Sun Yat-sen University, China) Doctoral Consortium: ?? Jens Classen (Simon Fraser University) ?? Magdalena Ortiz (TU Vienna, Austria) Local Organization: ?? Giuseppe De Giacomo (Sapienza University, Italy) ?? Son Tran (New Mexico State University, USA) ?? Long Tran-Thanh (University of Warwick, UK) ?? Thanh Van Dinh (East Asia University of Technology, Vietnam) Virtual Conference Arrangements: ?? Stefan Borgwardt (TU Dresden, Germany) ?? Marco Console (Sapienza University Italy) ?? Long Tran-Thanh (University of Warwick, UK) Sponsorship: ?? Kuldeep S. Meel (NUS, Singapore) ?? Zeynep G. Saribatur (TU Wien, Austria) Publicity: ?? Thanh Van Dinh (East Asia University of Technology, Vietnam) ?? Paolo Felli (Free University of Bozen-Bolzano, Italy) From thanh.dinhvan at gmail.com Mon Mar 15 11:47:05 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Mon, 15 Mar 2021 22:47:05 +0700 Subject: Connectionists: Final CFP: Applications and Systems Track of KR 2021 (Abstracts due March 24th) Message-ID: <61179fd2-3384-1bfd-c700-fafba61f2f7c@gmail.com> CALL FOR PAPERS *Applications and Systems Track* of the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de/ ------------------ Important Dates ------------------ Submission of title and abstract: March 24, 2021 Paper submission deadline: March 31, 2021 Author response period: May 24-26, 2021 Notification: June 15, 2021 Camera-ready papers: July 14, 2021 Conference dates: November 6-12, 2021 ------------------ Description ------------------ Systems and applications incorporating Knowledge Representation and Reasoning (KR) have made tremendous progress over the last decades and become more and more pervasive in scientific, industrial and everyday life. Popular knowledge representation formalisms range from databases, ontologies, classical, probabilistic and non-monotonic logics to natural language, offering rich means to describe a variety of static as well as dynamic phenomena. Automated reasoning systems harness machine learning, combinatorial search and optimization methods, planning, proving, design and diagnosis techniques to provide powerful tools for analyzing and deriving conclusions from complex input data. Novel, general and interdisciplinary approaches are thus vital contributions at the intersection of science, industry and society, aiming to enhance the capabilities and outreach of KR principles and technologies. This year, for the second time, KR 2021 will host a track on "Applications and Systems". This track aims at providing researchers and industrial practitioners with a dedicated forum for presentation and discussion of new ideas, research experience and emerging results on topics related to applications of KR formalisms and automated reasoning systems. This track provides the opportunity for fostering meaningful connections between researchers from both practical and theoretical areas of AI and, at the same time, offers participants the possibility to learn about progress made on these topics, share their own views and elaborate about approaches that could lead to effective cross-fertilisation among research in challenging KR applications and new innovative systems for solving them. ------------------ Expected Contributions ------------------ The Applications and Systems Track at KR 2021 invites submissions of papers on all aspects of the development, deployment, and evaluation of KR systems to solve significant and challenging application problems, including * case studies, including suitable descriptions of the problem setting, data and tools used, and ?lessons learnt?, * use cases, including task specifications, related tasks/approaches, challenges, and a sketch of possible KR solution, * benchmarks, including suitable descriptions of the dataset, reasoning tasks, and ideally some ?solution set? or gold standard, * system descriptions, including descriptions of the algorithm, implementation and empirical evaluation on a suitable dataset. We welcome the above kinds of papers on a wide range of topics, including classic KR tools/techniques as well as their usage for solving or supporting tasks in a range of areas, for example: * Computational Biology * Computer Vision and Image/Video Recognition * Creative Computing * Cybersecurity and Blockchain * Data Analytics * Databases and Query Answering * Diagnosis and Explanation * Game Theory and Social Choice * Intelligent Transportation and Logistics * Intelligent User Interfaces * Internet of Things * Machine Learning * Natural Language Processing * Digital Forensics * Robotics and Human Robot Collaboration * Semantic Web and Knowledge Graphs * Software Engineering * System Design We welcome submissions talking about interdisciplinary applications of KR, for example in economics, education, life sciences, medicine, and pharmacology. ------------------ Submission Guidelines and Evaluation Criteria ------------------ The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the instructions on the KR2021 website. The track emphasizes applications of KR and development of KR systems, and welcomes contributions showcasing the impact of KR research as well as driving future research by presenting challenging data, use cases and problems together with observations and insights gained. Submissions will be rigorously peer reviewed by PC members, who are active in applications of KR and/or development of KR systems. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. In this track, the selection process of the highest quality papers will further apply the following criteria: - (for case studies) quality of the evaluation and significance of the ?lessons learnt? - (for use cases) importance and novelty of these use cases for KR - (for system descriptions) quality of the empirical evaluation and its reporting - (for benchmarks) reusability, coverage, and complexity of the datasets ------------------ Remote Participation Due to the Covid-19 Pandemic ------------------ We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing authors of accepted papers to present virtually and will work hard to enable the best possible experience for all conference participants. ------------------ Chairs ------------------ Martin Gebser (University of Klagenfurt & Graz University of Technology, Austria) Martin.Gebser at aau.at Uli Sattler (University of Manchester, UK) Uli.Sattler at manchester.ac.uk From Pavis at iit.it Mon Mar 15 11:52:06 2021 From: Pavis at iit.it (Pavis) Date: Mon, 15 Mar 2021 15:52:06 +0000 Subject: Connectionists: 2 Postdoc positions on Computer Vision for scene understanding and social behaviour analysis (2100002Z) Message-ID: <2a35c2af7a464d2090bcee1a8ee9ab2f@iit.it> 2 Postdoc positions on Computer Vision for scene understanding and social behaviour analysis (2100002Z) Istituto Italiano di Tecnologia, Genova, Italy The Pattern Analysis and Computer Vision (PAVIS, https://pavis.iit.it) Research Line at Fondazione Istituto Italiano di Tecnologia - IIT invites qualified candidates to submit their applications for two Postdoc positions in Genoa, Italy under the supervision of Dr. Alessio Del Bue. PAVIS mission is to research and deploy novel Artificial Intelligence (AI) systems to understand our 3D physical space and the human behaviours within it. The aim is to create assistive AI systems that can automatically react and support humans in their daily life by analysing and forecasting activities and their interaction with the environment. We work towards this goal by developing new Computer Vision and Machine (Deep) Learning methodologies that can be readily applied in realistic applications. PAVIS collaborates in EU-funded international research projects, as well with industrial partners. Join a team of 30 international Researchers, Postdocs, Ph.D. and Engineers that enjoy working in cutting-edge Computer Vision and Machine Learning research topics. PAVIS infrastructure comprises a multi-modal sensor network (RGB, depth, event-based, thermal, lidar cameras) used for deploying AI systems for scene understanding and behavioural analysis and the availability of an HPC with 62 GPU nodes to run large scale training and deployment of ML models. Research Topics: - Object 3D localization from multi-modal sensors; - Estimation of human proxemics and behaviours from cameras; - 2D/3D scene understanding using Graph Neural Networks; - Integrating deep learning models with multi-view geometry reasoning; - Semantic Simultaneous Localization and Mapping and Structure from Motion; - Retrieval and Knowledge-based Computer Vision. Requirements: - PhD degree in Computer Vision, Machine Learning, Robotics or related fields; - Relevant scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.); - Experience in Deep Learning and GNN in particular; - Good communication skills and ability to cooperate; - Proficient in English language (written and oral). Desired but not compulsory: - Experience in multi-view geometry, 3D vision and scene understanding; - Experience in tracking, multiple object detection and matching; - Experience in deploying models on HPC platforms; - Experience in collaborative software development; - Good knowledge of tools like GIT and object-oriented programming languages like Python and/or C/C++; - Experience in Linux operating system and familiarity with deep learning libraries and dependencies (CUDA, Pytorch, Pytorch3D, Tensorflow, Tensorflow3D). Interested applicants should submit their application in electronic form at https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2100002Z The requested documentation includes: a detailed curriculum vitae outlining experience and qualifications, a cover letter explaining your interest in PAVIS and your research interests, publication list or Google Scholar profile, names and contact details of 2 referees (Deadline April 12th, 2021). The successful candidate will be offered a highly competitive salary which will be commensurate with qualifications and experience. Fondazione Istituto Italiano di Tecnologia - IIT - was founded with the objective of promoting Italy?s technological development and further education in science and technology. In this sense, IIT is committed to achieving its scientific program, which sees a major inspirational principle in the integration between basic scientific research and the development of technical applications. Research activities at IIT cover areas of high innovative content, representing the most advanced frontiers of modern technology with wide application possibilities in various fields from medicine to industry, from computer science to robotics, life sciences and nanobiotechnology. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From thanh.dinhvan at gmail.com Mon Mar 15 12:02:06 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Mon, 15 Mar 2021 23:02:06 +0700 Subject: Connectionists: Final CFP: Special Session on KR & Machine Learning at KR 2021 (Abstracts due March 24th) Message-ID: Call for Papers **Special Session on Knowledge Representation and Machine Learning** at the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de ------------------ Important Dates ------------------ Submission of title and abstract: ??? March 24, 2021 Paper submission deadline: ??? ??? March 31, 2021 Author response period: ??? ??? May 24-26, 2021 Notification: ??? ??? ??? ??? June 15, 2021 Camera-ready papers: ??? ??? ??? July 14, 2021 Conference dates: ??? ??? ??? November 6-12, 2021 ----------- Description ----------- Over the last two decades, Machine Learning (ML) has made incredible progress and become very effective at solving specific tasks while being robust across many experimental learning applications. Deep learning, statistical (relational) learning, reinforcement learning and logic-based and/or probabilistic learning are among the many ML approaches that are witnessing such advancements. On the other hand, Knowledge Representation and Reasoning (KR) has continued to be at the core of Artificial Intelligence (AI) research providing solutions for explicit declarative representation of knowledge and knowledge-based inference, which have theoretical and practical relevance in many aspects of AI as well as in new emerging fields outside AI. The synergy between these two areas of AI has the potential to lead to new advancements on the foundations of AI that offer novel insights into open fundamental challenges including, but not limited to, learning symbolic generalisations from raw (multi-modal) data, using knowledge to facilitate data-efficient learning, supporting interpretability of learned outcomes, federated multi-agent learning and decision making. This year, for the second time, KR2021 will host a special session on "Knowledge Representation and Machine Learning". This special session aims at providing researchers and industrial practitioners with a dedicated forum for presentation and discussion of new ideas, research experience and emerging results on topics related to computational learning and symbolic knowledge representation and reasoning. This special session provides the opportunity for fostering meaningful connections between researchers from these two main areas of AI and, at the same time, offering the possibility to learn about progress made on these topics, share their own views and learn about approaches that could lead to effective cross-fertilisation among research in ML and KR and new innovative solutions to key AI research challenges. ---------------------- Expected contributions ---------------------- The Special Session on KR and ML at KR2021 invites submissions of papers across KR and ML on advancements in one of these areas for the purpose of addressing open research challenges in the other, integration of computational learning and knowledge representation and reasoning, and the application of combined KR and ML approaches to solve real-world problems, including case studies and benchmarks. We welcome papers on a wide range of topics, including but not limited to: -- Learning ontologies and knowledge graphs -- Learning action theories -- Learning common-sense knowledge -- Learning spatial and temporal theories -- Learning preference models -- Learning causal models -- Learning tractable probabilistic models -- Probabilistic reasoning and learning -- Graphical models for knowledge representation and reasoning -- Reasoning and learning over knowledge graphs -- Logic-based learning algorithms -- Neural-symbolic learning -- Interplay between logic & neural and other learning paradigms (e.g., logics for reasoning about neural networks, embedding of logical reasoning in neural paradigms) -- Statistical relational learning -- Multi-agent learning -- Machine learning for efficient knowledge inference -- Symbolic reinforcement learning -- Learning symbolic abstractions from unstructured data -- Machine-learning-driven reasoning algorithms -- Explainable AI -- Transfer learning -- Multi-agent learning -- Expressive power of learning representations -- Knowledge-driven natural language understanding and dialogue -- Knowledge-driven decision making -- Knowledge-driven intelligent systems for internet of things and cybersecurity -- Application of knowledge-driven ML to question answering and story understanding -- Application of knowledge-driven ML to Robotics --------------------------------------------- Submission Guidelines and Evaluation Criteria --------------------------------------------- The special session emphasizes KR and ML, and welcomes contributions that extend the state of the art at the intersection of KR and ML. Therefore, KR-only or ML-only submissions will not be accepted for evaluation in this special session. Submissions will be rigorously peer reviewed by PC members who are active in KR and ML. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. In this special session, the selection process of the highest quality papers will apply the following criteria: * Importance and novelty of using knowledge representation and reasoning to advance machine learning, or novelty of using machine learning solutions to advance knowledge representation and reasoning. * Applicability of the proposed solutions in real-world. * Reusability of datasets, case studies and benchmarks for systems and/or application papers. * Proved theoretical or empirically demonstrated practical advancement of the proposed solution with respect to baseline pure KR or ML approaches. Details on formatting and submission can be found on the KR21 website. -------------------------------------------------- Remote Participation Due to the Covid-19 Pandemic -------------------------------------------------- We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing authors of accepted papers to present virtually and will work hard to enable the best possible experience for all conference participants. ------ Chairs ------ ?? Vaishak Belle (University of Edinburgh, UK) ?? Luc De Raedt (KU Leuven, Belgium) From thanh.dinhvan at gmail.com Mon Mar 15 12:10:13 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Mon, 15 Mar 2021 23:10:13 +0700 Subject: Connectionists: Final CFP: Special Session on KR & Robotics at KR 2021 (Abstracts due March 24th) Message-ID: CALL FOR PAPERS **Special Session on Knowledge Representation and Robotics** at the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de/ ------------------ Important Dates ------------------ Submission of title and abstract:???????? March 24, 2021 Paper submission deadline:???????????????? March 31, 2021 Author response period:???????????????? May 24-26, 2021 Notification:???????????????????????????????? June 15, 2021 Camera-ready papers:???????????????????????? July 14, 2021 Conference dates:???????????????????????? November 6-12, 2021 ------------------ Much progress has been made in robotics through the introduction of machine learning, often leading to autonomous systems that are effective but opaque with inexplicable behaviours. Many applications, however, require robots to explicitly capture knowledge and reason with it in order to achieve high-level cognitive skills. This special session is devoted to exploring the intersection of Knowledge Representation and Robotics. Papers are solicited in all areas of this intersection.? In particular, we welcome papers that extend knowledge representation techniques to cope with the challenges posed by interacting with the physical world, such as: - dealing with uncertain, incomplete or contradictory information; - reasoning with time, space and perceptions; - grounding representations in the physical world; - combining discrete and continuous representations; - reasoning with bounded computational resources; - trustworthy and accountable robot behaviours; and - social intelligence for robots in human-centric environments. Robots are the archetypical integrated cognitive systems.? Thus, we also welcome papers that address the integration of knowledge representation into whole robotic systems, such as: - integrating knowledge representation and machine learning; - integrating symbolic and sub-symbolic approaches; - integrating reasoning about actions and control; or - cognitive robot architectures. Finally, we welcome papers that show concrete examples where real robotic systems benefit from knowledge representation, for instance in: - sensor interpretation and understanding; - human-robot interaction; - multi-robot planning and coordination; or - dealing with errors and unexpected situations. ------------------ Information for Authors ------------------ The Special Session on KR & Robotics will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the instructions on the KR2021 website. The special session emphasizes KR & Robotics, and welcomes contributions that extend the state of the art at the intersection of KR & Robotics. Therefore, KR-only or Robotics-only submissions will not be accepted for evaluation in this special session. Submissions will be rigorously peer reviewed by PC members who are active in KR & Robotics.? Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. ------------------ Remote Participation Due to the Covid-19 Pandemic ------------------ We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing authors of accepted papers to present virtually and will work hard to enable the best possible experience for all conference participants. ------------------ Chairs ------------------ Alessandro Saffiotti (University of Orebro, Sweden) Mary-Anne Williams (University of New South Wales, Australia) ------------------ From iswc.conf at gmail.com Mon Mar 15 21:54:27 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 15 Mar 2021 18:54:27 -0700 Subject: Connectionists: CfP ISWC 2021 - 2nd Call for Doctoral Consortium papers In-Reply-To: References: Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org The ISWC 2021 Doctoral Consortium (DC) will take place virtually as part of the 20th International Semantic Web Conference. This forum will provide PhD students an opportunity to: ? present and discuss their research ideas in a supportive, formative and yet critical environment; ? receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; ? explore career pathways available after completing their PhD degree, and finally ? network and build collaborations with other members of the community. The event is intended for students who are midway through their PhD, therefore at a stage where they have articulated a reasonably detailed research proposal, preferably supported by some preliminary results. The aim is to support the students in refining their proposal and suggest possible ways to improve their research plan and achieve results with prospective greater impact. While doctoral degrees can vary in format and conduct, we aim this Call for Papers to PhD candidates in their second, or early in their third year and who will have already partially investigated some specific problems. Students will be required to submit a paper to the doctoral consortium, structured like a research proposal. All proposals submitted to the Doctoral Consortium will undergo a rigorous review process by the International Programme Committee, who will provide detailed and constructive feedback and select those submissions to be presented at the Doctoral Consortium. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Important Dates: - Papers due: 3 May, 2021 - Notification to proposers: 31 May 2021 - DC Day: 25 October, 2021 Submission link: https://easychair.org/conferences/?conf=iswc2021 Details: https://iswc2021.semanticweb.org/doctoral-consortium-call DC Chairs: - Miriam Fernandez (Open University, UK) - Valentina Tamma (University of Liverpool, UK) 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 gangluo at cs.wisc.edu Mon Mar 15 22:09:00 2021 From: gangluo at cs.wisc.edu (GANG LUO) Date: Tue, 16 Mar 2021 02:09:00 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) - virtual event In-Reply-To: References: Message-ID: -- Call for Papers -- The Seventh International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) In Conjunction with VLDB 2021 Copenhagen, Denmark - virtual event August 20, 2021 https://sites.google.com/view/vldbdmah2021/ DMAH will be held online this year. Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2020 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 10, 2021 Individual Workshop Papers: May 16, 2021 Notification of Acceptance: June 10, 2021 Camera Ready: June 25, 2021 Workshop date: August 20, 2021 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Jun Kong, Georgia State University, USA From ioannakoroni at csd.auth.gr Tue Mar 16 00:56:27 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 16 Mar 2021 06:56:27 +0200 Subject: Connectionists: ICAS-AVVision CfP deadline extended References: Message-ID: <056f01d71a20$b97be860$2c73b920$@csd.auth.gr> Call for Papers: ICAS 2021 Autonomous Vehicle Vision (AVVision) Special Session (Deadline extended to March 31, 2021) ICAS is a flagship event sponsored by IEEE Signal Processing Society (SPS) through IEEE SPS Autonomous Systems Initiative. Special Session Website: https://avvision.xyz/icas21/ 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, and d) resilient and robust platforms that can withstand adversarial attacks and failures. The Autonomous Vehicle Vision (AVVision) Special Session at the IEEE International Conference on Autonomous Systems 2021 (ICAS'21) 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. Organizers Dr. Rui Ranger Fan, UC San Diego Prof. Ioannis Pitas, Aristotle University of Thessaloniki Important Dates Full Paper Submission: 03/31/2021 Notification of Acceptance: 05/21/2021 Camera-Ready Paper Submission: 06/01/2021 Submission Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures and possible references, and with one additional optional 5th page containing only references) via the IEEE ICAS 2021 conference website. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard double-column SPS IEEE conference format. IEEE ICAS 2021 requires that each accepted paper be presented by one of the authors in-person at the conference site according to the schedule to be published. Any paper accepted into the technical program, but not presented on-site will be withdrawn from the official proceedings archived on IEEE Xplore. More details can be found at https://2021.ieee- icas.org/authors/call-papers. -- 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 pattichi at ucy.ac.cy Mon Mar 15 10:34:42 2021 From: pattichi at ucy.ac.cy (Constantinos Pattichis) Date: Mon, 15 Mar 2021 16:34:42 +0200 Subject: Connectionists: [CAIP2021] CAIP 2021 - VIRTUAL CONFERENCE - Call for Papers In-Reply-To: References: Message-ID: CAIP 2021 TO BE ORGANISED AS A VIRTUAL CONFERENCE *Due to the COVID-19 global pandemic, CAIP 2021 will be held as a virtual conference. The Organizing Committee would like to thank you for your commitment and support and reassure you that they are dedicated to offering the best possible online experience to attendees.* Call for Papers*http://cyprusconferences.org/caip2021 * CAIP 2021 is the 19th in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Salerno, Ystad, Valletta, York, Seville, M?nster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track. Furthermore, CAIP 2021 will feature contests and tutorials preceding the main conference event, as well as workshops following the main conference event. CAIP 2021 will also host a student?s paper competition. *Fields of Interest* The conference invites novel contributions to the automatic analysis of images and patterns, encompassing both new challenging application areas and substantial new theoretical developments in the field. - 3D Vision - Biomedical image and pattern analysis - Biometrics - Brain ? inspired methods - Computer Vision Accelerators - Deep Learning - Document analysis - Egocentric Vision - Face and gestures - Feature Extraction - Graph-based methods - High ? dimensional topology methods - Human pose estimation - Image restoration - Image/video indexing & retrieval - Keypoint detection - Machine learning for image and pattern analysis - Mobile multimedia - Model-based vision - Motion and tracking - Object recognition - Segmentation - Shape representation and analysis - Vision for robotics / drones/ UAVs *Special Research Award* CAIP 2021 will give a special research award for the best paper of the conference associated to COVID-19 research, in order to honor those who have lost their lives and the heroes and the volunteers associated to the COVID-19 crisis. Committees *General Chairs* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Andreas Lanitis* *CYENS & Cyprus University of Technology, Cyprus* *Nicolai Petkov* *University of Groningen, Netherlands* *Program Chairs* *Nicolas Tsapatsoulis* *Cyprus University of Technology, Cyprus* *Andreas Panayides* *University of Cyprus, Cyprus* *Theo Theocharides* *KIOS & University of Cyprus, Cyprus* *Mario Vento* *University of Salerno, Italy * *LOC* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Constandinos Mavromoustakis* *IEEE Cyprus Section & University of Nicosia Research Foundation, Cyprus* *Alexis Polycarpou* *IET Cyprus* *Toumazis Toumazi* *Cyprus Computer Society* Important Dates *Tutorial/ Workshop proposal submission* 01 March 2021 *Tutorial/ Workshop acceptance notification* 15 March 2021 *Paper Submission* 01 April 2021 *Author notification* 15 June 2021 *Camera-ready paper due* 01 July 2021 *Early bird registration* 31 July 2021 Contact *For Academic Enquiries please contact:* *Prof. Constantinos S. Pattichis *pattichi at ucy.ac.cy *For Arrangements and Registration Information:* *Easy Conferences *info at easyconferences.eu *Organized and Sponsored by* [image: cid:image001.png at 01D6F3C1.F099B050] *Endorsed by* [image: cid:image004.jpg at 01D6D496.3800FCA0] *Co-Organizers & Co-Sponsors* [image: cid:image010.jpg at 01D6D496.3E127BF0] *Technical Co-Sponsors* [image: cid:image011.jpg at 01D6D496.3E127BF0] cyprusconferences.org/caip2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 5249 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image010.jpg Type: image/jpeg Size: 2687 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Conf. on Signal Processing and Multimedia Applications :: New Submission Deadline 01st of April Message-ID: <006e01d71a7e$29058cb0$7b10a610$@insticc.org> CALL FOR PAPERS 18th International Conference on Signal Processing and Multimedia Applications New Regular/Position Paper Submission Deadline: April 01, 2021 http://www.sigmap.org July 06 - 08, 2021 Online Streaming The purpose of SIGMAP 2021, the International Conference on Signal Processing and Multimedia Applications, is to bring together researchers, engineers and practitioners interested on information systems and applications, including theory and practice in various heterogeneous and interrelated fields including image, video and audio data processing, new sources of multimodal data (text, social, health, etc.) and Multimedia Applications related to representation, storage, authentication and communication of multimedia information. Multimedia is a research field that includes computing methods in which different modalities are integrated and combined, with the aim to take advantage from each data source. SIGMAP is organized in 6 major tracks: 1 - Multimedia Networking and Communication 2 - Multimedia Signal Processing 3 - Multimedia Systems and Applications 4 - Multimedia and Deep Learning 5 - Multimedia Indexing and Retrieval 6 - Social Multimedia Conference Chair(s) Andrew Sung, University of Southern Mississippi, United States Program Chair(s) Simone Santini, Universidad Aut?noma de Madrid, Spain With the presence of internationally distinguished keynote speakers: Amarnath Gupta, University of California San Diego, United States Henning Schulzrinne, Columbia University, United States Noel O?Connor, Dublin City University, Ireland Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Also, a short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. Kind regards, M?nica Saramago SIGMAP Secretariat Web: http://www.sigmap.org e-mail: sigmap.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at cshl.edu Tue Mar 16 23:02:51 2021 From: navlakha at cshl.edu (Navlakha, Saket) Date: Wed, 17 Mar 2021 03:02:51 +0000 Subject: Connectionists: Biological Distributed Algorithms 2021 Message-ID: <97008697-9209-4DFD-B77C-8A5A0F800C28@cshl.edu> Subject: BDA 2021 ? call for presentations ======================================================= 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, July 29, 19:00-21:00 CEST Friday, July 30, 17:00-21:00 CEST =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and a 4-page extended abstract. Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. =============== IMPORTANT DATES =============== May 10, 2021 ? Extended abstract submission deadline May 31, 2021 ? Decision notifications July 29-30, 2021 ? Workshop ========================= INVITED SPEAKERS [more to come] ========================= George Bassel - University of Warwick Josh Bongard - UVM Anne Condon - UBC Mike Levin - Tufts ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph - CMU Anna Dornhaus - University of Arizona Yuval Emek - Technion (co-chair) Ile Fiete - MIT Amos Korman - CNRS and University of Paris Diderot Nancy Lynch - MIT Frederik Mallmann-Trenn - King's College London Melanie Moses, University of New Mexico Saket Navlakha - Cold Spring Harbor Laboratory (co-chair) Calvin Newport - Georgetown Merav Parter - Weizmann Institute of Science Ted Pavlic - Arizona State University Andrea Richa - Arizona State University From cgf at isep.ipp.pt Wed Mar 17 17:02:17 2021 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 17 Mar 2021 21:02:17 +0000 Subject: Connectionists: IEEE/ACM/ASA DSAA'2021: CFPs Research, Application, Industrial, PhD and Special Sessions Tracks Message-ID: =============================================================== IEEE/ACM/ASA DSAA'2021 CALL FOR PAPERS: Research, Application, Industrial, PhD and Special Sessions Tracks Research & Application Tracks: https://dsaa2021.dcc.fc.up.pt/calls/research-applications-tracks Industrial Track: https://dsaa2021.dcc.fc.up.pt/calls/industrial-track PhD Track: https://dsaa2021.dcc.fc.up.pt/calls/phd-track Special Sessions: https://dsaa2021.dcc.fc.up.pt/calls/special-sessions =========== Important Dates =========== Research, Application, Special Session, and Tutorials: submission deadline: 23 May 2021 Research, Application, and Special Session tracks notification: 25 Jul. 2021 Research, Application, and Special Session tracks camera ready due: 8 Aug. 2021 PhD Track submission deadline: 1 July 2021 PhD Track notification: 15 July 2021 =========== Attached to this e-mail you can find a document containing detailed information about the Call For Papers. Best Regards, Carlos Ferreira Publicity Chair 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 -------------- A non-text attachment was scrubbed... Name: Call for Papers.pdf Type: application/pdf Size: 220419 bytes Desc: not available URL: From publicity at acsos.org Wed Mar 17 17:34:20 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Wed, 17 Mar 2021 22:34:20 +0100 Subject: Connectionists: [Call-for-Posters-and-Demos] ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems In-Reply-To: References: Message-ID: <25c0a87e-767d-42e8-52cd-6e67e2dffaee@acsos.org> +*************************************************+ +****** ACSOS 2021 Call for Posters & Demos ******+ +*************************************************+ +???????????????????????????????????????????????? + +? Call for Posters and Demos -?????????????????? + +? 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????????????????? + +???????????????????????????????????????????????? + +++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++ *************************************************** **************** Important? Dates ***************** *************************************************** - Poster / Demo submission deadline: July 9th, 2021 - Poster / Demo acceptance notification: August 13th, 2021 - Poster / Demo camera ready copy: August 20th, 2021 - Conference: September 27th - October 1st, 2021 *************************************************** *******? About ACSOS 2021 Posters & Demos? ******** *************************************************** The 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021) solicits the submission of posters and demos on specific aspects of autonomic software and systems and of artificial self-organizing systems, particularly related to the subject areas indicated by the ACSOS call for papers. Posters provide a forum for authors to present their work in an informal and interactive setting. They allow authors and interested participants to engage in discussions about their work. In particular, a poster submission should motivate its relevance to the communities of autonomic computing and/or self-organizing systems, summarize the main challenges, experiences, and novel ideas. A demonstration should present an existing tool or research prototype. Authors are expected to provide a demonstration during the poster and demonstration session. A demonstration submission should clearly describe the motivation, the novelty of the contribution, and the applicability of the tool or prototype to specific use cases. *************************************************** ***********? Call for Posters & Demos? ************ *************************************************** Posters or demonstrations can be submitted for evaluation in the form of an extended abstract. Submissions are limited to 2 pages including references and are required to comply with the standard IEEE Computer Society Press proceedings style guide. All submissions must present only original and unpublished work that is not currently under review at any other venue. Demonstrations must include in the abstract for the paper a link to a video of up to 5 minutes hosted in a permanent location. The video must show the existing tool or research prototype in action. Moreover, demonstrations are encouraged to include a link to a website where the source code of the produced software is available, when it is possible. Please submit your extended abstracts electronically in PDF format using the ACSOS 2021 conference management system, https://easychair.org/conferences/?conf=acsos2021 selecting the ACSOS 21 Poster and Demo Track. ## Selection Process All extended abstracts will be reviewed by the members of the Poster and Demo Committee and evaluated based on novelty, impact, technical soundness, relevance to the conference, and presentation. In case an extended abstract presents a software tool, the online availability of such a tool and its documentation will also be considered in the final decision by the reviewers. ## Accepted Posters and Demos If selected, authors shall prepare a final camera-ready version of the extended abstract, taking into account the reviewers? feedback. The extended abstract of the selected posters and demos will be included in the ACSOS Companion Proceedings, which will be published by the IEEE Computer Society Press and made available as a part of IEEE Digital Library. At least one author of each accepted submission is required to register at the conference and present their work in the interactive poster and demo session. ## Demo Guidelines At the conference, in case the event is held virtually, authors will present their demos by sharing their screen in a virtual session and/or using a camera to show any other piece of equipment they may need (e.g., smart devices, sensors, actuators, robots, etc.). Otherwise, in case the event is held physically, authors will present their live demos on their laptops and are invited to bring any other piece of equipment they may need. Software simulations or video recordings are accepted as an alternative if a real-time demo is not possible. Additionally, authors of the accepted demonstration submissions must also produce a digital poster summarizing their system and demo, following the poster guidelines. ## Poster Guidelines When preparing their digital posters authors are required to capture the viewer?s attention effectively by presenting in a clear and concise way the core concepts and the context of their work. Therefore, visual representations are typically the main medium of communication in a successful poster session. Few attendees will get interested in posters that are not visually appealing to then make further enquiries to their authors. If screenshots are used, please ensure that they are readable. The recommended size for the poster is A0. ## Best Poster and Demo Awards Two prizes will be awarded, one for the best poster and one for the best demonstration. The award criteria include the quality of the submitted extended abstract and the quality of the presentation during the posters and demos session. From publicity at acsos.org Wed Mar 17 17:38:07 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Wed, 17 Mar 2021 22:38:07 +0100 Subject: Connectionists: [Call-for-Papers] 6th eCAS workshop on Engineering Collective Adaptive Systems In-Reply-To: References: Message-ID: <875d6781-3f43-3729-5c55-6505effa0087@acsos.org> *************************************************** *********** eCAS 2021 - Call For Papers *********** *************************************************** *?????? 6th eCAS Workshop on Engineering????????? * *???????? Collective Adaptive Systems???????????? * *???????????????????????????????????????????????? * *? 27 September -- 1 October 2021???????????????? * *? VIRTUAL (originally Washington, DC, USA)?????? * *???????????????????????????????????????????????? * *? http://ecas2021.apice.unibo.it/??????????????? * *???????????????????????????????????????????????? * *************************************************** *************************************************** In conjunction with the 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021, merger of the former ICAC and SASO conferences): https://2021.acsos.org *************************************************** ***************** Important Dates ***************** *************************************************** ? - Paper submission deadline: *July 9th, 2021* ? - Notification to authors: *June 31th, 2021* ? - Camera ready: *August 20th, 2021* ? - Workshop date: September 27th / October 1st, 2021 All times in Anywhere on Earth (AoE) timezone. *************************************************** *************** Aims and Motivation *************** *************************************************** Modern computing systems tend to be composed of many distributed and heterogeneous entities interacting with one another and with their environment to pursue a variety of goals and functionality. These systems typically operate under continuous perturbations, making manual adjustments and open-loop approaches infeasible, hence requiring self-* features (e.g., self-organisation, self-adaptation, self-configuration...). For a collective system to be resilient, its adaptation must also be collective, in the sense that multiple entities must adapt in a way that addresses critical runtime conditions while preserving the benefits of collaborative interdependencies. Decision-making in such systems is distributed and possibly highly dispersed, and interaction between the entities may lead to the emergence of unexpected phenomena. To engineer such collective adaptive systems (CAS), new approaches for and understanding of collective adaptation are needed, to allow: i) multiple entities to adapt in a coordinated or complementary way, with ii) negotiations or other mechanisms to decide which collective changes are suitable. Collective adaptation also raises a second important challenge: Which parts of the system (things, services, people) should be engaged in an adaptation, and how? This is nontrivial, as multiple solutions to the same problem may be generated at different levels, and individuals in the collective often have partial information. The challenge is to understand these levels and create mechanisms to decide the right scope for an adaptation for a given problem. This workshop solicits papers that address new methodologies, theories, principles, and fundamental understanding, that can be used to underpin the design, operation, and analysis of CASs. Case studies, applications showing such approaches in action, and interdisciplinary work are particularly welcome. Research on CAS engineering can benefit from advances in related areas looking ?beyond individual devices?, including (but not limited to) multi-agent systems, coordination, concurrency theory, self-* systems, collective intelligence, nature-inspired computing, organisational paradigms, and so on. Suggested Topics include (but are not limited to): - Novel theories relating to operating principles of CAS - Novel design principles for building CAS systems - Insights into the short and long-term adaptation of CAS systems - Insights into emergent properties of CAS - Insights into general properties of large scale, distributed CAS - Comparing and analyzing approaches to CAS (e.g., distributed and centralized) - Decision-making approaches in CAS - Methodologies for studying, analyzing, and building CAS - Frameworks for analyzing or developing CAS case studies - Languages, platforms, APIs and other tools for CAS - Scenarios, case studies, and experience reports of CAS in different contexts (e.g., Smart Mobility, Smart Energy/Smart Grid, Smart Buildings, traffic management, emergency response, etc.) *************************************************** ********************** Scope ********************** *************************************************** The workshop is expected to attract participants from many disciplines, including (but not limited to) Autonomic Computing, Biology, Game Theory, Evolutionary Computing, Network Science, Self-Organizing Systems, Pervasive Computing, Collective Intelligence, and to be of interest to anyone working with the domain of large-scale self-adaptive systems. In addition, the European Commission has funded seven scientific projects and a Coordination Action in this area, with projects starting at the beginning of 2013. The proposed workshop provides a natural base for the projects to meet and share ideas, yet we stress that the workshop is in no way limited to this audience, and is likely to have broad appeal to a wide range of researchers. Potential audience members might work in application areas relating to large-scale distributed systems, or may come from any of the many disciplines that can provide insights into the operation and design of such systems. *************************************************** ************* Submission Instructions ************* *************************************************** We solicit the following types of contributions: - Workshop papers, limited to 6 pages, including references: these provide research contributions and should include proper motivation and evaluation. - Position papers, limited to 2 pages, including references: these provide research ideas, should include proper motivation and arguments, but may include only preliminary forms of evaluation. Both workshop papers and position papers will be published on IEEE Xplore in parallel with the main IEEE ACSOS conference proceedings. All contributions should follow IEEE Computer Society Press proceedings style guide and be submitted in PDF format using the Easychair login page: https://easychair.org/conferences/?conf=ecas2021 By submitting, the authors confirm that in case of acceptance, at least one author will present the work at the workshop. All papers will be reviewed by an International Technical Program Committee with a minimum of 3 reviews per paper. Contributions will be peer reviewed for originality, clarity and readability, relevance to themes, soundness, and overall quality. *************************************************** ****************** Registration ******************* *************************************************** All attendees at the workshop must register for ACSOS through the conference website: https://2021.acsos.org *************************************************** **************** Workshop Format ****************** *************************************************** We anticipate a half-day workshop comprising the following items: Presentation of the papers, which will be arranged into sessions organized to maximize the chance of interaction and discussion among the participants and the authors. Future Directions & Challenges for CAS: an interactive session at the end of the day to map out the research landscape of CAS. The workshop is structured to promote interaction and collaboration. In the past, discussions have led to joint activities on themes such as CAS and society. --- For more information, please contact the workshop organizers: - Roberto Casadei, Alma Mater Studiorum - Universit? di Bologna, Italy - Lukas Esterle, Aarhus University, Denmark From emmanuel.vincent at inria.fr Thu Mar 18 02:38:28 2021 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Thu, 18 Mar 2021 07:38:28 +0100 Subject: Connectionists: First Inria-DFKI European Summer School on AI: registration open Message-ID: <2fd1565d-7572-b656-3c13-e6d089872113@inria.fr> ******************************************************************* *First Inria-DFKI European Summer School on AI (IDAI 2021)*** *?? ???????????? Trustworthy AI* and *AI for Medicine* *????????????????????????????? Palaiseau, France* *?????????????????????????????? July 20-23, 2021* *https://idessai.inria.fr/* *?????????????? Registration deadline: April 19, 2021* ******************************************************************* IDAI 2021 inaugurates a series of yearly Summer Schools organized by the two renowned German and French AI institutes, DFKI and Inria. It stands out from the crowd of offerings for AI students in several respects: * We ensure a good balance in the number of participants and instructors: participants will have the opportunity to join a community of like-minded people and, at the same time, they will be in close contact with the experts. * Our program features a line-up of courses focused on two themes, Trustworthy AI and AI for Medicine, which are at the forefront of socio-economic issues related to AI. * On top of the latest methodological advances and the shared vision of the future that both organizing institutes have to offer, IDAI 2021 will be practically oriented. We will achieve this through hands-on courses and the involvement of industry practitioners and innovators. * Participants will be offered to the opportunity to present their work to each other in dedicated poster/demo sessions. Trustworthy AI and AI for Medicine will take place in two parallel tracks. There will be plenty of opportunities to exchange between these two tracks at coffee breaks, meals and social events, as well as through joint cross-track sessions. *TARGETED AUDIENCE* IDAI 2021 was designed for PhD students in all areas of AI, including machine learning, knowledge representation and reasoning, search and optimisation, planning and scheduling, multi-agent systems, natural language processing, robotics, computer vision, and other areas. PhD students in other fields, MSc students, postdocs, and researchers in industry are also welcome. *VENUE* IDAI 2021 is currently planned as a fully in-person event, which will take place at the Inria Saclay ?le-de-France research center, close to Paris. Remote attendance will not be possible. In case the pandemic will still not allow for an in-person event, IDAI 2021 will take place as a fully virtual event at the same dates instead. We are closely monitoring the situation and will strive to make this decision as early as possible. *CONFIRMED KEYNOTES AND SPEAKERS*** Cross-track keynotes: ** * Mihaela van der Schaar (University of Cambridge) - Why medicine is creating exciting new frontiers for machine learning and AI * Joanna Bryson (Hertie School) - AI ethics Trustworthy AI track (to be completed): * Serge Abiteboul (Inria) - Responsible data analysis algorithms: a realistic goal? * Simon Burton (Fraunhofer IKS) - Safety, complexity, AI and automated driving - holistic perspectives on safety assurance * Mich?le Sebag (CNRS - LISN) - Why and how learning causal models * Patrick Gallinari (Sorbonne University and Criteo AI Lab) - Deep learning meets numerical modeling * Christian M?ller (DFKI) - Explaining AI with narratives * Catuscia Palamidessi (Inria) and Miguel Couceiro (University of Lorraine) - Addressing algorithmic fairness through metrics and explanations * Guillaume Charpiat (Inria), Zakaria Chihani (CEA), and Julien Girard-Satabin (CEA) - Formal verification of deep neural networks: theory and practice * Hatem Hajri (IRT SystemX) - Adversarial examples and robustness of neural networks AI for Medicine track (to be completed): * Gerd Reis (DFKI) - AI in Medicine - An engineering perspective * Marco Lorenzi (Inria) - Federated learning methods and frameworks for collaborative data analysis * Ga?l Varoquaux (Inria) - Dirty data science: machine learning on non-curated data * Thomas Moreau and Demian Wassermann (Inria) - Introduction to neuroimaging with Python * Francesca Galassi (Inria) and Rutger Fick (TRIBVN Healthcare) - Domain adaptation for the segmentation of multiple sclerosis lesions in brain MRI. * Tim Dahmen (DFKI) - Bio-mechanical simulation for individualized implants and prosthetics * Elmar N?th (Friedrich-Alexander-University Erlangen-Nuremberg) - Automatic analysis of pathologic speech ? from diagnosis to therapy * Pierre Zweigenbaum (CNRS - LIMSI) - NLP for medical applications Open discussion with industry (to be completed): * Juliette Mattioli (Thales) and Fr?d?ric Jurie (Safran) - Industry use cases involving trusted AI * Boris Dimitrov (Check Point Cardio) - Real-time online patient tele-monitoring * **FEES AND REGISTRATION* Our fees are all-inclusive and may optionally include accomodation. For more details and to register, see https://idessai.inria.fr/registration/ (deadline: April 19). To ensure a good balance in the number of participants and instructors and maximize the chances of interaction, the number of attendees is limited to 50 per track. Applicants will be selected on the grounds of diversity and benefit gained from attending the selected track. *ORGANIZERS* Co-organized by: Inria, DFKI, Dataia, IRT SystemX Contact us: idessai-contact at inria.fr. -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Thu Mar 18 06:07:57 2021 From: luca.oneto at unige.it (Luca Oneto) Date: Thu, 18 Mar 2021 11:07:57 +0100 Subject: Connectionists: ESANN 2021 SS 2nd CFP - Complex Data: Learning Trustworthily, Automatically, and with Guarantees Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Complex Data: Learning Trustworthily, Automatically, and with Guarantees" at ESANN 2021 - https://www.esann .org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021). 6-8 October 2021, Bruges, Belgium - http://www.esann.org DESCRIPTION: Machine Learning (ML) achievements enabled automatic extraction of actionable information from data in a wide range of decision-making scenarios (e.g. health care, cybersecurity, and education). ML models are nowadays ubiquitous pushing even further the process of digitalization and datafication of the real and digital world producing more and more complex and interrelated data. This demands for improving both ML technical aspects (e.g. design and automation) and human-related metrics (e.g. fairness, robustness, privacy, and explainability), with performance guarantees at both levels. The aforementioned scenario posed three main challenges: (i) Learning from Complex Data (i.e. sequence, tree and graph data), (ii) Learning Trustworthily, and (iii) Learning Automatically with Guarantees. The scope of this special session is then to address one or more of these challenges with the final goal of Learning Trustworthily, Automatically, and with Guarantees from Complex Data. The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of machine learning and other fields of research in solving real world problems. Both theoretical and practical results are welcome to our special session. TOPICS OF INTEREST: - efficient and effective models capable of directly learning from data natively structured or collected from interrelated heterogeneous sources (e.g. social and relational data, knowledge graphs), characterized by entities, attributes, and relationships, without relying on human skills to encode this complexity into a rich and expressive (vectorial) representation; - design ML models from a human-centered perspective, making ML trustworthy by design, by removing human biases from the data (e.g. gender discrimination), increasing robustness (e.g. to adversarial data perturbation), preserving individuals? privacy (e.g. protecting ML models from differential attacks), and increasing transparency (e.g. via ML models and output explanation); - automatizing the ML design and deployment parts which are currently handcrafted by highly skilled and trained specialists. For this reason, ML is required to be empowered with self-tuning properties (e.g. architecture and hyperparameter automatic selection), understanding and guaranteeing the final performance (e.g. with worst case and statistical bounds) with respect to both technical and human relevant metrics. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 10 May 2021 Notification of acceptance: 20 July 2019 ESANN conference: 6-8 April 2019 SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa (Italy) Nicol? Navarin, University of Padua (Italy) Battista Biggio, University of Cagliari (Italy) Federico Errica, University of Pisa (Italy) Alessio Micheli, University of Pisa (Italy) Franco Scarselli, University of Siena (Italy) Monica Bianchini, University of Siena (Italy) Alessandro Sperduti, University of Padua (Italy) ---------------------------------------- Prof. Luca Oneto DIBRIS - University of Genoa web: www.lucaoneto.it e-mail: luca.oneto at unige.it ---------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From benjamin.paassen at hu-berlin.de Thu Mar 18 06:49:02 2021 From: benjamin.paassen at hu-berlin.de (Benjamin Paassen) Date: Thu, 18 Mar 2021 11:49:02 +0100 Subject: Connectionists: Call for papers: ESANN 2021 Special Session on deep Learning for graphs Message-ID: <30e6e380-b812-8a7c-edc1-1a24ddeb4842@hu-berlin.de> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Deep learning for graphs" European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021). 6-8 October 2021, Bruges, Belgium - http://www.esann.org DESCRIPTION: Graphs are very flexible data structures that can be used to represent, at the same time, entities and the relationships among them.Graphs can describe networks of interacting elements, e.g. in social graphs or metabolomics, as well as data where topological variations influence the feature of interest, such as molecular compounds. Data-driven processing and adaptive learning on structured data has a long-standing history but it has recently grown to become one of the most active research topics in the deep learning field. This special session solicits contributions on the general topic of deep learning for graphs including wide themes such as graph representation learning, graph generation, interpretability of deep graph networks, learning for graphs as a means to integrate symbolic-subsymbolic information. We welcome works focusing on methodological advances, theoretical works, and also impacting applications of deep learning for graphs. Topics that are of interest to this session include, but are not limited to: TOPICS OF INTEREST (non-exhaustive): Deep learning and representation learning for graphs Learning with network data Learning with knowledge graphs and symbolic-subsymbolic integration Graph generation Graph coarsening and pooling Deep graph networks and combinatorial algorithms/problems Interpretable models for graphs Randomized neural networks for relational data Relational deep learning Applications of learning for graphs: e.g. Natural language processing, machine vision, materials science, chemoinformatics, computational biology, social networks, federated learning, recommendation systems. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in www.esann.org. Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 10 May 2021 Notification of acceptance: 20 July 2019 ESANN conference: 6-8 April 2019 SPECIAL SESSION ORGANISERS: Davide Bacciu (Universit? di Pisa, Italy) Filippo Maria Bianchi (NORCE - the Norwegian Research Center, Norway) Benjamin Paassen (Humboldt-University of Berlin, Germany) Cesare Alippi (Universit? della Svizzera italiana, Switzerland) From avellido at cs.upc.edu Thu Mar 18 07:33:17 2021 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Thu, 18 Mar 2021 12:33:17 +0100 Subject: Connectionists: ESANN 2021, 1st Special Session CFP: Interpretable Models in ML and Explainable AI Message-ID: *** apologies for cross-posting *** ESANN 2021 The 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium: 6-8 October 2021. https://www.esann.org CFP Special Session: INTERPRETABLE MODELS in MACHINE LEARNING and EXPLAINABLE ARTIFICIAL INTELLIGENCE ============================================================================================ Machine learning models are currently dominated by neural networks and, in particular, by deep variants of those networks. Frequently, these models achieve promising results. However, usually deep networks act as black-box, as do many other machine learning models. Further, due to powerful tools, the learning process, which is often a gradient descent approach, is hidden for the developer as well as for the applicant of the model. Therefore, the possibilities to assess the network are mainly performance evaluations. However, this is problematic for many application for example in medicine, engineering and economy/finance applications, which require a transparent decision or prediction process. Recently there has been considerable effort to develop interpretable models in machine learning and approaches to explain the decision/prediction processes to the user. The aim of this special session is to make these new approaches and models more highly visible to the community. We invite papers highlighting different aspects of interpretable models and explaining decision support processes and inference models involving artificial intelligence. The session covers a broad range of this topic, ranging from theoretical considerations and new machine learning models to machine learning applications requiring or benefitting from interpretability and explainability. Topics include, but are not limited to: Machine learning models with inherent interpretability Methods to explain existing models Model verification Visualization and visual inspection of the operation of machine learning models Confidence and trustworthiness in AI Prediction confidence and quantification of uncertainty Trade-off between interpretability and performance Model transparency in safety critical applications We welcome both, new theoretical developments as well as practical applications. =========== ORGANIZERS: Sascha Saralajew (Bosch Center for Artificial Intelligence, Germany), Alfredo Vellido (Universitat Polit?cnica de Catalunya - UPC BarcelonaTech, Espa?a), Thomas Villmann (University of Applied Sciences Mittweida, Saxony Institute for Computational Intelligence and Machine Learning, Deutschland), Paulo Lisboa (Liverpool John Moores University, United Kingdom) DATES: Paper submission: 10/05/21 Decisions: 20/07/21 SUBMISSION: https://www.esann.org/node/6 From P.Tino at cs.bham.ac.uk Thu Mar 18 08:24:14 2021 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Thu, 18 Mar 2021 12:24:14 +0000 Subject: Connectionists: Entropy - Special Issue "Information Theory Based Methods in Machine Learning and Bioinformatics" Message-ID: <39340b0d-ea5f-0ba5-51b3-97c7e8042534@cs.bham.ac.uk> Dear Colleagues, we would like to announce a special issue of the Entropy journal devoted to "Information Theory Based Methods in Machine Learning and Bioinformatics". More details available at https://www.mdpi.com/journal/entropy/special_issues/infor_bioinfor many thanks, Thomas Villmann Peter Tino Luis Gonzalo S?nchez Giraldo Guest Editors -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 http://www.cs.bham.ac.uk/~pxt/ From ioannakoroni at csd.auth.gr Thu Mar 18 11:03:22 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 18 Mar 2021 17:03:22 +0200 Subject: Connectionists: Live e-Lecture by Prof. Andreas Geiger: 'Towards Robust End-to-End Driving', 23rd March 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures Message-ID: <056a01d71c07$d77ef710$867ce530$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Andreas Geiger (University of T?bingen, Germany), a prominent AI researcher internationally, will deliver the e-lecture: ?Towards Robust End-to-End Driving?, on Tuesday 23rd March 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/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/92425987539 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , Vision, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 ? 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, N. Cesa-Bianchi, F. Heintz, B. O?Sullivan, 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 t.hospedales at ed.ac.uk Thu Mar 18 15:10:31 2021 From: t.hospedales at ed.ac.uk (Timothy Hospedales) Date: Thu, 18 Mar 2021 19:10:31 +0000 Subject: Connectionists: [CfP]: ICRA 2021 Workshop on Learning to Learn for Robotics Message-ID: We invite submissions of papers to the ICRA 2021 workshop on Learning to Learn for Robotics. ****** Key Info: ****** Workshop Website: https://sites.google.com/view/learn-to-learn-robotics The goal of the workshop is to bring together scientists from different backgrounds to further the understanding and development of learning to learn algorithms for robotics. In particular we are interested in creating a platform to enable the exchange between the fields of cognitive science, machine learning and robot learning. We welcome contributions on all aspects of Learning To Learn, and specifically encourage contributions with respect to: ? What can we learn from humans utilising their bodies in the process of learning-to-learn; ? How to make use of the embodied structure of a robot to improve or self-supervise the process of meta-learning; do we need new algorithms for embodied meta-learning? ? Do people learn-to-learn different concepts separately or do we learn continuously throughout our lifespans; how do we make sense of the surrounding environment in this process? ? How can we ensure learning-to-learn is safe for an embodied robot and its environment? ? We also solicit submissions on negative results on meta learning that help us understand the current limitations and boundaries of learning to learn ****** Key Dates: ****** Submission deadline: May 15th 2021 Workshop day: TBA ****** Workshop Abstract****** Recent years have seen a lot of interest in the development and use of learning-to-learn for a wide range of applications. Yet, existing solutions rarely take into account the structured nature of a learner?s body which constrains their applicability to learning in physical environments, an aspect which is core in robotics. In this workshop, we?d like to discuss how humans use their own embodied structure to learn effectively and efficiently, and what we can do to enable robotic learn-to-learn in a similar fashion. Our goal is to bring together researchers from a variety of backgrounds with the hope to discuss and reason about what learning-to-learn and embodiment means from a cognitive neuroscience perspective, and how this knowledge might translate into improving robot learning. We believe that it is an important moment for the robot learning community to reflect upon these questions in order to advance the field and increase its variety in approaching learning to learn. We hope that by fostering discussions between cognitive science, machine learning and robot learning researchers, we can enable all sides to draw inspiration to further the understanding and development of learning-to-learn algorithms and applications. Invited Speakers: Pierre-yves Oudeyer (Inria) Chelsea Finn (Stanford) Pulkit Agrawal (MIT) Mattej Hoffmann (CTU Prague) Simon Osindero (DeepMind) Dana Kulic (Monash University) We look forward to receiving your submissions! The organizing committee Sarah Bechtle (Max-Planck-Institute for Intelligent Systems, T?bingen) Todor Davchev (University of Edinburgh) Yevgen Chebotar (Google Brain) Timothy Hospedales (University of Edinburgh and Samsung AI Research) Franziska Meier (Facebook AI Research) email: learningtolearn.icra2021 at gmail.com -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From bernabe.cfp at gmail.com Fri Mar 19 04:10:36 2021 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Fri, 19 Mar 2021 09:10:36 +0100 Subject: Connectionists: Special Issue on Intelligent Data-Centric Systems Journal of Mathematical Biosciences and Engineering Message-ID: <94191F7B-7CA6-48B3-81D3-0FD891A92EC1@gmail.com> Special Issue on Intelligent Data-Centric Systems Journal of Mathematical Biosciences and Engineering Editorial: AIMS Press ISSN: 1551-0018 Impact Factor JCR: 1.285 (Mathematical & Computational Biology) https://www.aimspress.com/mbe/article/5860/special-articles Manuscript Topics Data-centric software systems support the communication, processing and analysis of large, heterogeneous data volumes and flows in many modern application scenarios. For example, cyber-physical systems need to deal with enormous volumes of data that are generated continuously in the scope of the Internet of Things, still they need to work efficiently, and they must be scalable, reliable and trustworthy at all times. The ability to handle lakes and streams of data in order to turn them into informed decisions can lead to great competitive advantages for companies and administrations alike, as well as improve the quality of life for the citizens of information society. Such abilities can be seen in biological systems based on the intelligence of living beings but the functioning has yet to be fully understood and transferred for technical utilization. In particular, the question is how to support data-centric software systems with artificial intelligence, e.g. by means of learning and recognizing patterns from large amounts of complex or unstructured data. Furthermore, the basic mechanisms of intelligent behavior might be combined with and improved by complementary techniques like federation and transfer of learning as well as contextualization of the data. The inherent complexity of resulting approaches together with the strict qualitative requirements of sensitive application areas are calling for solid formal methods with sound mathematical foundations. Subsequently, this special issue focuses on novel approaches for large scale data management and engineering that are based on a bio-inspired notion of intelligence as well as their formal foundations. The areas of interest include, but are not limited, to: ? Formal models and methods of intelligent data processing ? Bio-inspired intelligent algorithms for data-centric systems ? Technologies for data-driven decision making ? Architecture of intelligent data-centric software systems ? AI-methods for software engineering ? Smart Internet of Things and cyber-physical intelligence ? Intelligent cloud, edge and fog computing ? Data processing for smart devices ? Data-centric communication protocols ? Context-aware data sharing ? Applications of novel intelligent data-centric systems Paper Submission The deadline for manuscript submission is 01 May 2021. All manuscripts will be peer-reviewed before their acceptance for publication. Instructions for authors https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors Please submit your manuscript to online submission system http://oeps.aimspress.com/mbe/ch/author/login.aspx Information on article processing charge https://www.aimspress.com/mbe/news/solo-detail/articleprocessingcharge Guest Editors Prof. Guadalupe Ortiz Department of Computer Science and Engineering, University of C?diz, Spain. Email: guadalupe.ortiz at uca.es Prof. Bernab? Dorronsoro Escuela Superior de Ingenier?a, University of C?diz, Spain Email: bernabe.dorronsoro at uca.es Prof. Christian Zirpins Faculty of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, Germany Email: christian.zirpins at hs-karlsruhe.de For questions please email to the guest editors. From yuliasid at ucm.es Fri Mar 19 04:15:01 2021 From: yuliasid at ucm.es (YULIA SIDOROVA) Date: Fri, 19 Mar 2021 11:15:01 +0300 Subject: Connectionists: DEADLINE EXTENDED: call for tutorials and workshops at ECML PKDD Message-ID: **Our apologies if you receive multiple copies of this CFP** *DEADLINE EXTENDED: CALL FOR TUTORIALS AND WORKSHOPS* The ECML PKDD 2020 Organizing Committee invites proposals for tutorials and workshops to be held on the first and last days of the conference: September 13th and 17th, 2021 (ONLINE). *SCOPE AND MOTIVATION* TUTORIALS are intended to provide a comprehensive introduction to established or emerging research topics of interest to the machine learning and data mining community. These topics include related research fields or applications but also well-developed tools and suites that support ML/DM research. WORKSHOPS in current and emerging topics in machine learning and data mining provide an opportunity to discuss novel topics in a small and interactive atmosphere. They can concentrate on research topics, but can also be devoted to application domains or issues, or to questions concerning the economic and social aspects of machine learning and data mining. Multidisciplinary workshops that bring together researchers and practitioners from different communities are particularly welcome. *IMPORTANT DATES* Tutorials: proposal deadline EXTENDED to: April 02, 2021 acceptance notification: April 9, 2021 final abstract submission: April 28, 2021 course material (slides, bibliography) online: September 1, 2021 conference: September, 13-17, 2021 (ONLINE). Workshops: proposal deadline: April 02, 2021 acceptance notification: April 9, 2021 websites and call for papers online: April 28, 2021 paper submission: June 23, 2021 (suggested) program and proceedings online: September 1, 2021 conference: September, 13-17, 2021 (ONLINE). For more information please visit https://2021.ecmlpkdd.org/?page_id=1603 Other events at ECML PKDD: -regular papers (Research and Applied Data Science Tracks) https://2021.ecmlpkdd.org/?page_id=1599 -journal track https://2021.ecmlpkdd.org/?page_id=1341 -PhD forum https://2021.ecmlpkdd.org/?page_id=1591 -discovery challenge https://2021.ecmlpkdd.org/?page_id=1610 We look forward to welcoming you in Bilbao. -------------- next part -------------- An HTML attachment was scrubbed... URL: From thanh.dinhvan at gmail.com Sat Mar 20 11:09:12 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Sat, 20 Mar 2021 22:09:12 +0700 Subject: Connectionists: Final Call for Workshop and Tutorial Proposals for KR 2021 (Deadline extended until April 2nd) Message-ID: <59fd4d28-5925-648c-e7ae-176d49a7d1d4@gmail.com> ** EXTENDED DEADLINE ** Due to some requests, we have decided to extend the deadline for workshop and tutorial proposals until *April 2nd, 2021*. ***** Call For Tutorial And Workshop Proposals 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de The 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021) solicits proposals for its tutorial and workshop programme. Tutorials and workshops will be held on the days of 6-8 November 2021, prior to the KR main technical program. The attendance of tutorials is complimentary to all KR registered participants. Workshop attendance will be subject to payment of a workshop fee, which is separate from that of the main conference. ** Submission Requirements for Tutorial Proposals ** KR tutorials are half-day or (exceptionally) full-day events that introduce general or special topics in KR and relevant neighboring areas. They can be first introductions to an established area or an emerging field, but also advanced courses on specialised methods or new approaches. The content should be adequately established and balanced, and not be limited to advertising an individual research work or product. A focus on specific tools and methodologies can still be useful to offer concrete examples and hands-on activities to participants. Each tutorial proposal should contain the following information: - Short title, presenters and proposed length (half-day is recommended, but an argument can be made for a full-day tutorial) - A half-page introduction to the tutorial's subject and relevance to KR - A half-page on the target audience, prerequisite knowledge, and learning goals - One page outline of the tutorial contents and intended structure - A brief resume of each presenter including name, affiliation, email address, ? and evidence of scholarship in the area, mentioning relevant publications or ? professional experience The main duties of the tutorial organizers are: - Setup a web-page for the tutorial, which should at least include the ? information from the proposal, tutorial materials and related references. - Deliver the tutorial at KR 2021. Virtual presentation will be allowed. Each accepted tutorial will entitle a discount on the KR registration fee for one tutorial presenter. ** Submission Requirements for Workshop Proposals ** Workshops provide a place to exchange ideas in emerging fields in KR research and application. They can take many forms, including mini-conferences (with peer-reviewed publications), competitions, working sessions (discussions, hackathons, etc.), line-ups of invited contributions, or a mix of these. Innovative formats are welcome, but organizers must provide means of estimating attendance and required length up-front (by number of submissions, invited speakers, or early registered participants). Workshop proposals can use up to 4 pages, which should include the following information: - Title and acronym of the workshop, - Workshop description: goals, format, and expected activities during the ? workshop; proposed duration (half day, one day, ...), - Audience: target audience, research groups in the area, planned or confirmed ? speakers, expected number of submissions/participants, - Related events: history of the workshop (if applicable), relationship to ? recent similar events, - Tentative list of PC members with their respective affiliations, - A brief resume of each organizer including name, affiliation, contact ? details, and evidence of scholarship in the area, mentioning relevant ? publications or professional experience. - Appendix: Tentative call for contributions The main duties of the chair of each accepted workshop are: - Set up a webpage for the workshop, - Advertise the workshop and distribute its call for papers/participation, - Coordinate the peer-reviewing of submitted contributions, - If workshop proceedings are desired, it is the duty of the organizers to ? produce and distribute their workshop proceedings, - Organize a schedule for the workshop in collaboration with the local ? organizers and the KR workshop co-chairs, and - Coordinate and moderate the workshop participation and content. We do not require workshop organizers to commit to physically attending the conference and will work with them to find a suitable (hybrid or fully virtual) format for each workshop. Each accepted proposal will be waived two workshop registrations to be used at the discretion of the organisers (e.g., to cover the registration of an invited speaker). KR reserves the right to cancel a workshop if it does not have enough participants to cover its running costs. ** Submission Instructions ** Each proposal (tutorial or workshop) should be in English and must be submitted electronically to the Workshop and Tutorial track of KR 2021 via EasyChair: https://easychair.org/conferences/?conf=kr2021 For all accepted proposals, KR will take care of all local and/or virtual arrangements. ** Important Dates ** Proposal submission deadline: 2 April 2021 Notification: 20 April 2021 Workshop paper submission deadline: 2 July 2021 Workshop paper notification: 6 August 2021 Workshop registration deadline: TBA Tutorial and workshop dates: 6-8 November 2021 ** Remote Participation Due to Covid-19 Pandemic ** We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing tutorial and workshop presenters to present remotely, and we will work with workshop organizers to find a suitable (hybrid or fully virtual) format for each workshop. Inquiries should be sent by email to the KR 2021 Tutorial and Workshop Chairs: Markus Kr?tzsch and Yongmei Liu kr21-workshops-tutorials at easychair.org From fmschleif at googlemail.com Sat Mar 20 16:18:47 2021 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Sat, 20 Mar 2021 21:18:47 +0100 Subject: Connectionists: =?utf-8?q?ESANN_2021_SS_2nd_CFP_-_Federated_Learn?= =?utf-8?q?ing_=E2=80=93_Methods=2C_Applications_and_Beyond?= Message-ID: -- Apologies in advance for multiple postings -- Call for Papers Special Session on 'Federated Learning ? Methods, Applications and Beyond' 06-08 October 2021, Bruges, Belgium https://www.esann.org/ AIMS AND SCOPE In today?s world, important data is often distributed over different facilities or devices. E. g. in the context of the internet of things, smart devices, or the health care domain. In the latter one, different hospitals and private doctors, will hold different information of the same patient and models can be derived in a federated learning scheme to avoid data transmissions and to ensure privacy constraints. Just collecting data from all facilities/devices as it is, is mostly forbidden due to data privacy reasons. One direction to address this issue is given by means of differential privacy concepts. Another problem is, that in some scenarios, the data in some of the facilities are changing rapidly, and thus updated data would need to be sent to the model very frequently. Thus, minimizing communication effort is also a challenge. To address this issue, there currently exist different algorithms of the Federated Learning domain, like Federated Averaging (FedAvg), which address these problems. This special session welcomes novel research and applications in the field of Federated Learning and beyond. Especially addressing the challenges of expensive communication, systems heterogeneity, statistical heterogeneity, and privacy concerns. TOPICS We encourage the submission of papers on novel Federated Learning methods by means of computational intelligence and machine learning approaches, including but not limited to: - data analysis and pattern recognition approaches for federated environments - preprocessing approaches in collaborative learning - learning in heterogeneous systems - effective communication for updating distributed models - representation and modelling of distributed models - approximation techniques for Federated Learning - online and incremental learning (dimensionality reduction, classification, clustering and regression, outlier detection) with a particular design for federated environments - Federated Transfer Learning algorithms - Vertical Federated Learning algorithms - Horizontal Federated Learning algorithms - security and privacy preservation in federated environments - differential privacy techniques - model compression and adaptive model aggregation - application of Deep Learning in the Federated Learning context - particular interesting applications for Federated Learning e.g. in IoT, recommendation systems, medicine, sensor networks, text processing... SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: ? Paper submission deadline: 10 May 2021 ? Notification of acceptance: 20 July 2021 ? Deadline for final papers: 20 August 2021 ? The ESANN 2021 conference: 06-08 October 2021 SPECIAL SESSION ORGANIZERS: ? Frank-Michael Schleif, University of Birmingham, Birmingham, UK ? Fabrice Rossi, CEREMADE, University Paris Dauphine PSL ? Christoph Raab, University of Bielefeld, Germany ? Moritz Heusinger, University of Appl. Sc. Wuerzburg-Schweinfurt, Germany -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From yuliasid at ucm.es Fri Mar 19 07:02:29 2021 From: yuliasid at ucm.es (YULIA SIDOROVA) Date: Fri, 19 Mar 2021 14:02:29 +0300 Subject: Connectionists: ECML PKDD: call for participation in challenges Message-ID: **Our apologies if you receive multiple copies of this CFP** The ECML PKDD 2021 hosts a few DISCOVERY CHALLENGES: ?Farfech Fashion Recommendations Challenge; ?Finding the planet in the noise: De-trending exoplanet lightcurves from non-linear noise; ?Discover the mysteries of the Maya. For more information please visit https://2021.ecmlpkdd.org/?page_id=1610 *IMPORTANT DATES* Challenge Start: April 01, 2021; Challenge End: July 01, 2021; Challenge Results Notification: July 05, 2021; Paper Submission for Runner-up?s: July 22, 2021. Conference: September, 13-17, 2021 (Virtual). Other events at ECML PKDD: -regular papers (Research and Applied Data Science Tracks) https://2021.ecmlpkdd.org/?page_id=1599 -journal track https://2021.ecmlpkdd.org/?page_id=1341 -PhD forum https://2021.ecmlpkdd.org/?page_id=1591 -workshops and tutorials: https://2021.ecmlpkdd.org/?page_id=1603 We look forward to welcoming you in Bilbao. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Mar 22 08:29:57 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 22 Mar 2021 13:29:57 +0100 Subject: Connectionists: CFP French Regional Conference on Complex Systems May 26 - 28, 2021 Dijon Message-ID: *COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions, we are **currently evaluating hybrid and virtual options. We will make a decision in the coming weeks* *F*rench* R*egional* C*onference* on C*omplex* S*ystems May 26 - 28, 2021 Dijon, France *FRCCS 2021* You are cordially invited to submit your contribution until *April 06, 2021 (Firm deadline).* *FRCCS 2021 (F*rench *R*egional* C*onference on *C*omplex *S*ystems 2021) is the first edition of the French Regional Conference on Complex Systems. It aims to promote interdisciplinary exchanges between regional researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the perspective of complexity science. *Keynote Speakers *(To Be Updated) Guillaume Deffuant INRAE Julie Dugdale University Grenoble Alps Marten D?ring University of Luxembourg Cesar A. Hidalgo University of Toulouse Denise Pumain Panth?on-Sorbonne University Camille Roth Centre Marc Bloch CNRS Andrei Zinovyev Institut Curie *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 2-3 pages. They should not exceed four pages. Submissions must follow the Springer publication format available on the journal Applied Network Science in the Instructions for Authors' instructions entry. All contributions should be submitted in *pdf format* via *EasyChair. * *Publication* *All Accepted submissions of unpublished work will be invited for publication in a special issue (fast track procedure) in **one of the journals:* o Applied Network Science edited by Springer o Complexity edited by Hindawi *List of Topics* *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies, and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *Committees* *GENERAL CHAIR* Hocine Cherifi LIB, UBFC, Dijon *ADVISORY BOARD* Cyrille Bertelle LITIS, Normastic, Le Havre David Chavalarias ISC PIF, Paris Chantal Cherifi DISP, Lyon Bertrand Jouve LISST, Toulouse Hamamache Kheddouci LIRIS, Lyon Benjamin Renoust Median Technologies, Sophia Antipolis 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 AMAM2021info at uottawa.ca Mon Mar 22 07:09:17 2021 From: AMAM2021info at uottawa.ca (AMAM2021info) Date: Mon, 22 Mar 2021 11:09:17 +0000 Subject: Connectionists: Second Call for Abstracts AMAM2021 Message-ID: AMAM 2021 Call for Abstracts The International Symposium on Adaptive Motion of Animals and Machines (AMAM, http://adaptivemotion.org/) is dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to behavior in biological and artificial systems. This year AMAM is holding a virtual, asynchronous conference to highlight work done by early career researchers. The meeting will consist of an online poster session with access to asynchronous chats, a pre-recorded audio or video poster presentation, and synchronous virtual meeting times scheduled by each participant to encourage live conversation and connection across time zones. In addition there will be the traditional hardware demonstration (the Robot Zoo) in a non-traditional promotional video format. The meeting will be held June 22nd ? 25th . Abstract deadline is April 1st 2021. More information can be found at https://amam2021.squarespace.com/ and will be updated regularly. Please use the contact tab on the webpage if you have any questions at all. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tommasi.t at gmail.com Mon Mar 22 10:34:51 2021 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Mon, 22 Mar 2021 15:34:51 +0100 Subject: Connectionists: 2nd CFP - CVPR 2021 "Learning from Limited and Imperfect Data" (L2ID) Workshop & Challenges Message-ID: *Learning from Limited and Imperfect Data (L2ID) Workshop & Challenges* In conjunction with the Computer Vision and Pattern Recognition Conference (CVPR) 2021 June 19-25 2021, Virtual Online https://l2id.github.io/ ****************************** *CALL FOR PAPERS & CHALLENGE PARTICIPATION* Learning from limited or imperfect data (L^2ID) refers to a variety of studies that attempt to address challenging pattern recognition tasks by learning from limited, weak, or noisy supervision. Supervised learning methods, including Deep Convolutional Neural Networks, have significantly improved the performance of many problems in the field of computer vision. However, these approaches are notoriously "data hungry", which makes them sometimes not practical in many real-world industrial applications. The issue of availability of large quantities of labeled data becomes even more severe when considering visual classes that require annotation based on expert knowledge (e.g., medical imaging), classes that rarely occur, or object detection and instance segmentation tasks where the labeling requires more effort. To address this problem, many efforts have been made to improve robustness to this scenario. The goal of this workshop is to bring together researchers to discuss emerging new technologies related to visual learning with limited or imperfectly labeled data. We will have two groups of challenges this year, including for localization and few-shot classification. Check the website for all the L2ID challenges: Localization: Track 1 - Weakly Supervised Semantic Segmentation Track 2 - Weakly supervised product detection and retrieval Track 3 - Weakly-supervised Object Localization Track 4 - High-resolution Human Parsing Few Shot Classification: Track 1 - Cross Domain, small scale Track 2 - Cross Domain, large scale Track 3 - Cross Domain, larger number of classes ****************************** *TOPICS* ? Few-shot learning for image classification, object detection, etc. ? Cross-domain few-shot learning ? Weakly-/semi-supervised learning algorithms ? Zero-shot learning, Learning in the ?long-tail? scenario ? Self-supervised learning and unsupervised representation learning ? Learning with noisy data ? Any-shot learning ? transitioning between few-shot, mid-shot, and many-shot training ? Optimal data and source selection for effective meta-training with a known or unknown set of target categories ? Data augmentation ? New datasets and metrics to evaluate the benefit of such methods ? Real world applications such as object semantic segmentation/detection/localization, scene parsing, video processing (e.g. action recognition, event detection, and object tracking) This is not a closed list, we welcome other interesting and relevant research for L^2ID. ****************************** *IMPORTANT DATES* Paper submission deadline: *March 25th, 2021* Notification to authors: April 8th, 2021 Camera-ready deadline: April 20th, 2021 The contributions can have two formats - Extended Abstracts of max 4 pages (excluding references) - Papers of the same lenght of CVPR submissions We encourage authors who wants to present and discuss their ongoing work to choose the Extended Abstract format. According to the CVPR rules, extended abstracts will not count as archival. The submissions should be uploaded through CMT: https://cmt3.research.microsoft.com/LLID2021 ****************************** *WORKSHOP ORGANIZERS:* Zsolt Kira (Georgia Tech, USA) Shuai (Kyle) Zheng (Dawnlight Technologies Inc, USA) Noel C. F. Codella (Microsoft, USA) Yunchao Wei (University of Technology Sydney, AU) Tatiana Tommasi (Politecnico di Torino, IT) Ming-Ming Cheng (Nankai University, CN) Judy Hoffman (Georgia Tech, USA) Antonio Torralba (MIT, USA) Xiaojuan Qi (University of Hong Kong, HK) Sadeep Jayasumana (Google, USA) Hang Zhao (MIT, USA) Liwei Wang (Chinese University of Hong Kong, HK) Yunhui Guo (UC Berkeley/ICSI, USA) Lin-Zhuo Chen (Nankai University, CN) -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.tetko at helmholtz-muenchen.de Tue Mar 23 07:24:35 2021 From: i.tetko at helmholtz-muenchen.de (Igor Tetko) Date: Tue, 23 Mar 2021 12:24:35 +0100 Subject: Connectionists: 15 PhD positions at Advanced machine learning for Innovative Drug Discovery (AIDD) http://ai-dd.eu Message-ID: 15 PhD positions at Advanced machine learning for Innovative Drug Discovery (AIDD) http://ai-dd.eu The Marie Sk?odowska-Curie Innovative Training Network AIDD brings together 11 academic institutions (e.g., IDSIA, LINZ, AALTO, KUL, etc.) international companies (e.g., AstraZeneca, Bayer, Janssen) and is supported by partner organizations. The main goal of the AIDD project is to train and prepare a new generation of scientists who have skills both in machine learning and in chemistry and can advance medicinal chemistry and speed up the drug development. The project offers 15 PhD positions. Fellows employed will be supervised by academics who have excellent complementary expertise and contributed some of the fundamental AI algorithms which are used billions of times per day in the world, and leading EU Pharma companies who are in charge of new medicine and public health. All developed methods can be used individually but will also contribute to an integrated "One Chemistry" model that can predict outcomes ranging from different properties to molecule generation and synthesis. The network will offer comprehensive, structured training through a well-elaborated Curriculum, online courses, and six Schools. Every fellow will work 1.5 years in an academic institution and 1.5 years in a company. For further information and application details (deadline is April 18th) see http://ai-dd.eu/esr-positions Dr. Igor V. Tetko Institute of Structural Biology Helmholtz Zentrum Muenchen (GmbH) German Research Center for Environmental Health Ingolstaedter Landstrasse 1, D-85764 Neuherberg, Germany PS: See also results of the previous BIGCHEM project http://bigchem.eu Helmholtz Zentrum Muenchen Deutsches Forschungszentrum fuer Gesundheit und Umwelt (GmbH) Ingolstaedter Landstr. 1 85764 Neuherberg www.helmholtz-muenchen.de Aufsichtsratsvorsitzende: MinDir.in Prof. Dr. Veronika von Messling Geschaeftsfuehrung: Prof. Dr. med. Dr. h.c. Matthias Tschoep, Kerstin Guenther Registergericht: Amtsgericht Muenchen HRB 6466 USt-IdNr: DE 129521671 From perusquia at ieee.org Tue Mar 23 23:58:15 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Wed, 24 Mar 2021 12:58:15 +0900 Subject: Connectionists: ACII21 call for demos Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Demos 28 Sep - 1 Oct 2021, Virtual event http://www.acii-conf.net/2021/ ======================================================= Call for Demos Affective Computing aims at the study and development of systems and devices that use emotion, in particular in human-computer and human-robot interaction. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. The biennial gathering of the Association for the Advancement Of Affective Computing?s (AAAC) 2021 Affective Computing and Intelligent Interaction Conference (ACII 2021) is the perfect opportunity to showcase recent technologies, products, and prototypes and to engage with an international community of experts from various corners of social science, computer science, and data science. Demo presenters will benefit from heightened exposure for their work, as well as feedback from many of the most renowned scientists in the field. Demos are also an excellent opportunity to find beta testers and other collaborators. Two-page extended abstracts will be published in the conference proceedings for all accepted demos. Important Dates ? Paper submission deadline: 24 June, 2021 ? Notification of acceptance: 5 July, 2021 ? Camera-ready paper: 12 July, 2021 Submission Instructions Theme for 2021 We strongly encourage the submission of demos that align with the ACII 2021 theme of Ethical Affective Computing. Thus, special consideration will be provided for demos that focus on the consideration of ethical uses, fairness, and bias in emotional AI. We welcome submissions from academic researchers, companies, and startups in domains ranging from entertainment and marketing to education and healthcare. Requirements Submissions of demonstrations of research prototypes and innovative commercial products related to applications of affective computing and intelligent interaction are welcome. Since ACII 2021 is going to be a fully virtual conference, demonstrations will be accepted in three formats: live demos, video recordings and slideshows. Evaluation Criteria Each demo paper will be reviewed and selected based on its scientific contribution, originality and innovation, social impact, potential for widespread use, and relevance to topics of ACII. Demo papers should include detailed technical explanations of the methods used. Similar demos will be grouped together in order to maximize the visibility of the presenters and their technologies. What to Submit The submission materials should be combined into a single document including the following: ? A two-page (+ one additional page for references) extended abstract to be published in the ACII 2021 proceedings in the conference paper format (LaTeX/Word templates). The abstract should include (1) a brief background introduction and description of the system, (2) a summary of the technical contributions of the system, and (3) results of a formal evaluation or an experiment to be conducted during the demo (if applicable). ? A URL link to a video recording or screenshots demonstrating how the system works. The demo papers submission process will be handled through the EasyChair system (https://easychair.org/conferences/?conf=acii2021). Please note that the demo presenters must be registered for the conference. Contacts Please forward any questions about demo submissions to the Demo Chairs: Shaun Canavan and Kalin Stefanov. Sincerely, Monica Perusqu?a-Hern?ndez, PhD PDEng http://monicaperusquia.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Wed Mar 24 04:00:00 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Wed, 24 Mar 2021 01:00:00 -0700 Subject: Connectionists: CfP ISWC 2021 - Call for Research, In-Use, Resource, Doctoral Consortium papers In-Reply-To: References: Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org In this announcement: 1. Call for Research papers 2. Call for In-Use papers 3. Call for Resource papers 4. Call for Doctoral Consortium papers 1. Call for Research papers ******************************************* In this track of ISWC 2021, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key reviewing criteria. We also strongly encourage papers that provide links to the data sets, source code and queries used to evaluate their approach, and/or live deployments. Topics of interest and further details: https://iswc2021.semanticweb.org/research-track Track Chairs: - Eva Blomqvist (University of Link?ping, Sweden) - Andreas Hotho (University of W?rzburg, Germany) Contact: iswc2021-program at easychair.org 2. Call for In-Use papers ******************************************* The In-Use track at ISWC 2021 continues the tradition of demonstrating and sharing the increasing adoption of Semantic Web technologies by providing a forum for the community to explore the benefits and challenges of applying such technologies in concrete, practical use cases, beyond the research communities from which they originate, in contexts ranging from industry to government and society. The In-Use track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web technologies (including, but not limited to, technologies based on the Semantic Web standards). Topics of interest and further details: https://iswc2021.semanticweb.org/in-use-call Track Chairs: - Ying Ding (University of Texas at Austin, USA) - Payam Barnaghi (Imperial College London, UK) Contact: iswc2021-in-use at easychair.org 3. Call for Resource papers ******************************************* The ISWC 2021 Resources Track aims to promote the sharing of resources which support, enable or utilise semantic web research. Resources include, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that have contributed or may contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well-established practices within the Semantic Web community. As such, this track calls for contributions that provide a concise and clear description of a resource and its usage. Topics of interest and further details: https://iswc2021.semanticweb.org/resources-track Track Chairs: - Stefan Dietze (GESIS, Cologne & Heinrich-Heine-University D?sseldorf, Germany)_ - Achille Fokoue (IBM Research, Yorktown Heights, NY, USA) ***** Important Dates (common to all paper tracks above) ***** - Abstracts Due: 12 April 2021 - Full Papers Due: 19 April 2021 - Author Rebuttals: 2?6 June 2021 - Notifications: 23 June 2021 4. Call for Doctoral Consortium papers ******************************************* The ISWC 2021 Doctoral Consortium (DC) will provide PhD students with an opportunity to: ? present and discuss their research ideas in a supportive, formative and yet critical environment; ? receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; ? explore career pathways available after completing their PhD degree, and finally ? network and build collaborations with other members of the community. The event is intended for students who are midway through their PhD, therefore at a stage where they have articulated a reasonably detailed research proposal, preferably supported by some preliminary results. The aim is to support the students in refining their proposal and suggest possible ways to improve their research plan and achieve results with prospective greater impact. While doctoral degrees can vary in format and conduct, we aim this Call for Papers to PhD candidates in their second, or early in their third year and who will have already partially investigated some specific problems. Students will be required to submit a paper to the doctoral consortium, structured like a research proposal. All proposals submitted to the Doctoral Consortium will undergo a rigorous review process by the International Programme Committee, who will provide detailed and constructive feedback and select those submissions to be presented at the Doctoral Consortium. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Details: https://iswc2021.semanticweb.org/doctoral-consortium-call DC Chairs: - Miriam Fernandez (Open University, UK) - Valentina Tamma (University of Liverpool, UK) ***** Important Dates (DC track) ***** - Papers due: 3 May, 2021 - Notification to proposers: 31 May 2021 - DC Day: 25 October, 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 O.Inel at tudelft.nl Wed Mar 24 04:29:32 2021 From: O.Inel at tudelft.nl (Oana Inel) Date: Wed, 24 Mar 2021 08:29:32 +0000 Subject: Connectionists: ACM UMAP 2021: Final Call for Demo and LBR Papers Message-ID: <39CC3F1A-69C7-4D98-ABB0-59D9909F81FB@tudelft.nl> ? Apologies for cross-posting ? ACM UMAP 2021: Final Call for Demo and LBR Papers Important Dates ? Submission of demos and LBR papers: March 26, 2021 ? Notification of acceptance: April 19, 2021 ? Camera-ready versions of accepted papers: May 7, 2021 ? Conference: June 21-25, 2021, online from Utrecht, the Netherlands Note: The submissions times are 11:59 pm AoE time (Anywhere on Earth) ACM UMAP 2021 ? User Modeling, Adaptation and Personalization is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP 2021 invites Demonstrations and Late-Breaking Results (LBR) papers of innovative UMAP-based systems (including research prototypes). You are encouraged to submit your Demo or LBR by March 26th, 2021. Submission formats For more details, see below! Demonstrations ? Max. 3 pages + max. 1 additional page for references ? (Required) unpublished page describing how they would present the demo virtually and/or in person ? (Optional) video or external material demonstrating the system ? Publication in ACM UMAP 2021 Adjunct Proceedings ? Presentation as a virtual demo + poster at the conference Late-Breaking Results ? Max. 7 pages + max. 2 additional pages for references ? (NEW: required) unpublished page with a list of questions the authors aim to get feedback on ? Publication in ACM UMAP 2021 Adjunct Proceedings ? Presentation as a virtual poster at the conference Submission via https://easychair.org/conferences/?conf=acmumap2021 Demonstrations Demonstrations will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and to get valuable feedback from the community. Each demo submission must make clear which aspects of the system will be demonstrated, and how these will be demonstrated on-site as well as online. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or any external material related to the demo (e.g., shared code on GitHub). Descriptions of demonstrations should have a length of max. 3 pages + 1 page of references in the new ACM single-column style. On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2021. Given uncertainties surrounding the COVID-19 pandemic, this extra page should also describe if/how the demo can be presented in a virtual setting (e.g. with a video or a live link to the system). Late-Breaking Results Late-Breaking Results (LBR) are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of User Modeling, Adaptation and Personalization. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit a late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. Late-Breaking Results papers have a length of up to 7 pages + 2 pages of references in the new ACM single-column style and will be presented to the conference as (in-person and virtual) posters. On an extra page (not to be published), submissions should include a list of questions that the authors aim to get feedback on during the poster session at UMAP 2021. Submission and Review Process Papers will be reviewed single-blind and do not need to be anonymized before submission. Papers (demo and LBR) must be formatted according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow. Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): ? LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column): https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip ? Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column): https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt ? MS Word: https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx Note: Accepted papers will require a further revision to meet the requirements and page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. Submit your papers in PDF format via EasyChair for ACM UMAP 2021 Demos and Late-Breaking Results at https://easychair.org/conferences/?conf=acmumap2021 (choose ?New Submission? and make sure to select ?UMAP 2021 Demo and LBR?). The review process will be single-blind, i.e. authors? names should be included in the papers. Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits or do not adhere to the formatting guidelines will be returned without review. Publication and Presentation Accepted Demo and Late-Breaking Results papers will be published in the ACM UMAP 2021 Adjunct Proceedings in the ACM Digital Library. All categories will be presented at the poster reception of the conference, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. At least one author of each accepted paper must register for the conference and present the paper there. Late-Breaking Results and Demo Chairs ? Bart Knijnenburg, Clemson University, South Carolina, USA ? Eva Zangerle, Universit?t Innsbruck, Austria -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Mar 24 09:10:35 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 24 Mar 2021 15:10:35 +0200 Subject: Connectionists: Live e-Lecture by Prof. LP Morency: 'Multimodal AI: Understanding Human Behaviors', 6th April 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures References: <047e01d7207f$fe1121b0$fa336510$@csd.auth.gr> <006601d72083$9536a530$bfa3ef90$@csd.auth.gr> Message-ID: <066c01d720af$14a014c0$3de03e40$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. LP Morency (Carnegie Mellon University, Pittsburgh), a prominent AI researcher internationally, will deliver the e-lecture: ?Multimodal AI: Understanding Human Behaviors?, on Tuesday 6th April 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/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/94136791572 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, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 ? 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. 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 gexarcha3 at gmail.com Wed Mar 24 09:25:58 2021 From: gexarcha3 at gmail.com (Georgios Exarchakis) Date: Wed, 24 Mar 2021 14:25:58 +0100 Subject: Connectionists: Post-Doc on Machine Learning for COVID-19 data analysis Message-ID: Post-Doc on Machine Learning for COVID-19 pandemic analysis Keywords: Machine Learning on Graphs, Geographic Information Systems, COVID-19 Profile: Doctoral degree in ML for Graphs or a related topic Institute: IHU Strasbourg Location: Strasbourg, France Supervisor: Dr Georgios Exarchakis Application Deadline: 04 April 2021 We offer a post-doc position attached to the CAMMA team at IHU Strasbourg for motivated researchers interested in developing state of the art Machine Learning algorithms for monitoring the COVID-19 pandemic. The Institute provides a multi-disciplinary environment where clinicians collaborate with engineers to provide real-world medical solutions. The intended project considers managing geographic data, at a neighborhood level resolution, in Graph format to identify regions of interest in the COVID-19 spread patterns. An analysis of the dynamics of the spread will also be considered to provide insights on the evolution of the pandemic. The post-doc will be expected to perform data sanity checks, to design and apply a bottom-up Machine Learning analysis for the geographic structure of the pandemic, and to apply state of the art Deep Learning algorithms for the analysis and prediction of the evolution of the pandemic. An ideal applicant will have a strong background in Machine Learning with a particular emphasis on Graph based algorithms. Experience with Geographic Information Systems will also be highly considered. Experience in the Python programming language with at least one of the popular ML libraries, e.g. Pytorch, TensorFlow. The successful candidate is expected to have high quality publications in leading journals in their field. Working conditions and remuneration are negotiable and will depend on the profile of the candidate. The project will be supervised by Dr. Georgios Exarchakis in close collaboration with Prof. Beno?t Gallix, and Prof. Nicolas Padoy . For further information on the application please contact Dr Georgios Exarchakis at georgios.exarchakis at ihu-strasbourg.eu with ?COVID-19 Post-Doc? as the email title. For applications, please provide your CV, copies of your academic degrees, and a cover letter detailing your interest in the position. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Post-Doc at CAMMA.pdf Type: application/pdf Size: 115304 bytes Desc: not available URL: From daniele.marinazzo at ugent.be Thu Mar 25 06:10:26 2021 From: daniele.marinazzo at ugent.be (Daniele Marinazzo) Date: Thu, 25 Mar 2021 11:10:26 +0100 Subject: Connectionists: Network Neuroscience Satellite at Networks2021 online conference - Call for contributions Message-ID: The 2021 Network Neuroscience Satellite of the Networks2021 conference will happen online between June 28 and July 2, with the most likely dates being June 30/July 1 (TBC soon). *Background and Motivation:* Recent technological developments have enabled mapping and recording of neural systems with unprecedented coverage and detail. Increasingly, the brain?s structure and function are approached from the perspective of complexity and networks, with theoretical and empirical/computational studies that conceptualize the brain as a complex system, composed of elements and interactions that are dynamically and functionally integrated. Network science offers important conceptual tools, insights, and robust computational methods for dynamic network systems? analyses. At the intersection of networks and brain science, the interdisciplinary field of Network Neuroscience is now addressing a broad range of both basic and applied scientific questions, regarding many aspects of brain architecture and function. This satellite will provide an opportunity for participants with diverse backgrounds to present cutting-edge research, discuss latest network findings and exchange ideas. *Invited speakers:* - Maurizio Corbetta (University of Padua, Italy) - Plamen Ch. Ivanov (Boston University, United States) - Mariangeles Serrano (University of Barcelona, Spain) - Carolyn Parkinson (University of California Los Angeles, United States) - Dimitri Van De Ville (EPFL and University of Geneva, Switzerland) *Organizing and program committee:* - Richard F. Betzel (Indiana University, United States) - Fabrizio De Vico Fallani (INRIA, France) - Katja Heuer (Max Planck Institute for Cognitive and Brain Sciences, Germany) - Daniele Marinazzo (Ghent University, Belgium) - Olaf Sporns (Indiana University, United States) - Roberto Toro (Pasteur Institute, France) - Emma Towlson (University of Calgary, Canada) - Robin Wilkins (University of North Carolina, United States) The satellite will include a number of* poster and oral presentations* contributed by submission. For the poster sessions we are working to provide a friendly, robust, and inclusive platform to maximize the quality of the interactions. If you would like to present your work, please, follow this link to Easychair , select the type of contribution and submit your abstract by *April 9th*. Abstracts should be in pdf format and no longer than 1 page (about 500 words). Please note that we have only a limited number of slots available for oral presentations, and encourage you to consider submitting your work as a poster. We will be holding a dedicated session for the posters. Oral presentations (?Contributed Talks?, 15 minutes) will be selected by the program committee. We welcome submissions from all areas of Network Neuroscience, to include (but not limited to): - Brain transcriptional and gene regulation networks; - Structural brain networks; - Functional brain networks; - Network theory, modeling and analysis; - Network communication and information flow; - Circuit dynamics; - Brain-behavior interactions; - Systems neuroscience; - Clinical applications. Please note that as per the rules of Networks2021, you may not deliver the same oral presentation in this satellite as at the main conference. Posters, however, may be presented at the satellite and at the main conference if appropriate. Communication of accepted submissions and invitations for oral ?contributed talks? will be sent by *April 23rd*. The early deadline for registration at the Networks2021 conference is *May 1st*. Please don't forget to visit our webpage , and add yourself with your interests and keywords to the brainweb ! -- Daniele Marinazzo Department of Data Analysis Faculty of Psychology and Educational Sciences, Ghent University Postal address: Henri Dunantlaan 2, B-9000 Ghent, Belgium Office address: Henri Dunantlaan 1, B-9000 Ghent, Belgium (directions in the link below) +32 (0) 9 264 6375 http://users.ugent.be/~dmarinaz/ Twitter @dan_marinazzo Directions to the office http://helpdesk.ugent.be/e-maildisclaimer.php -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Thu Mar 25 06:39:25 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Thu, 25 Mar 2021 12:39:25 +0200 Subject: Connectionists: 8th International Symposium on End-User Development (IS-EUD 2021): Call for Demos, Work in Progress and DC Message-ID: *** Call for Demos, Work in Progress and DC *** 8th International Symposium on End-User Development (IS-EUD 2021): "Democratizing AI Development" July 6-8, 2021, Atlantica Miramare Beach Hotel 4*, Limassol, Cyprus http://www.cs.ucy.ac.cy/~george/GPListManager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogQ2FsbCBmb3IgRGVtb3MsIFdvcmsgaW4gUHJvZ3Jlc3MgYW5kIERDCTU4MQlHZW9yZ2UJMjkJY2xpY2sJeWVzCW5v&url=http%3A%2F%2Fcyprusconferences.org%2Fiseud2021%2F End-user development (EUD) aims at empowering end users to develop and adapt systems at a level of complexity that is adequate to their expertise, practices, and skills. EUD may occur along the entire software lifecycle, with the purpose of making users able to participate in their artifact development, not only at design time, but also during actual use. Originally, EUD was conceived as a more general concept than end-user programming; thus, scholars proposed methods, techniques and tools that allow end users to modify or extend software artifacts, such as spreadsheets, web applications, video games, and mobile applications. In the co-called Internet of Things era, end-user development moved on to address the problem of defining and modifying the behavior of smart environments, including smart objects, pervasive displays, smart homes, smart cities, and so on. Therefore, the term "end-user development" acquired a broader meaning covering approaches, frameworks and socio-technical environments that allow end users to express themselves in crafting digital artifacts that encompass both software and hardware technology. Recent research and technological trends like Artificial Intelligence (AI), Big Data, Cyber-Security, Robotics, and Industry 4.0, have contributed to renew the vision of end-user development, by providing tools and platforms that allow end users to harness the power of AI to create solutions involving Computer Vision, Image Processing, Conversational User Interfaces, as well as solutions for smart environments. Such developments lower the threshold for creating AI solutions, and expand the programmer base for such solutions, by extending AI application both for professional and discretionary use. IS-EUD is a bi-annual event for researchers and practitioners with an interdisciplinary approach to EUD, including: Human-Computer Interaction, Software Engineering, Computer Supported Cooperative Work, Human-Work Interaction Design, and related areas. IS-EUD 2021 Theme: Democratizing AI Development The 2021 edition of IS-EUD focuses on EUD for AI-based systems, where end users are called on to become end-user developers of intelligent agents, digital twins, collaborative and social robots. This edition would like to discuss the adoption of EUD in new fields, the proposal of novel EUD paradigms, and the impact of AI-based EUD in terms of user acceptability and appropriation. One of the most interesting topics in human-AI interaction is explainability of AI-based systems: research submissions presenting end- user oriented solutions to this problem will be particularly welcome. Theoretical and empirical work analyzing pros and cons of this new EUD wave, identifying requirements for end-user development of AI and acceptance of related solutions is invited. Software infrastructures and eco- systems supporting the reuse of solutions and the emergence of meta- design practices are of particular interest to this community, linking the challenges relating AI to topics central to the IS-EUD community. Conference Topics The conference welcomes contributions that: ? describe new, simple and efficient environments for end-user development ? describe new processes, methods and techniques for empowering users to create, modify and tailor digital artifacts ? present case studies and design implications on challenges and practices of end-user development ? develop theoretical concepts and foundations for the field of end-user development Specific topics include (but are not limited to) the following ones: ? User-oriented orchestration of AI-based devices ? Conversational interfaces for end-user development ? End-user development for big data visualization and exploration ? End-user development for collaborative robotics ? End-user development for social robotics ? End-user development in Industry 4.0 ? End-user development and explainable AI-based systems ? Cybersecurity and end-user development ? End-user development in daily life ? Technologies and infrastructures for end-user development ? Empirical studies of end-user development ? Recommender systems to support end-user development ? Cultures of participation and meta-design approaches ? Technology acceptance and adoption studies of end-user development technologies ? Evaluation of end-user development technologies ? Supporting creative work through end-user development Submissions We invite submissions for Demos, Work in Progress and Doctoral Consortium. A Demonstration paper (max 6 pages) should be structured according to the following: ? Abstract (150 words maximum) ? Topics to be covered and their relevance to the EUD community ? Detailed description of the planned demonstration activity ? Diagrams or screenshots (if relevant) ? Supporting documentation (e.g., project website) ? References Work in Progress submissions (max 6 pages) are intended for presenting preliminary results or tentative findings and position papers. The authors of accepted contributions will have the opportunity to give an oral presentation during parallel sessions. Finally, the IS-EUD Doctoral Consortium is intended to bring together PhD students working on theory and application of EUD. We particularly encourage students that are about half-way through their doctoral research to submit doctoral consortium contributions (max 6 pages) describing the topic of their PhD, their approach and a summary of their progress. Demonstration, Work in Progress and Doctoral Consortium submissions should indicate in the title page "Demo", "WiP" or "DC" respectively. Accepted submissions will be included in IS-EUD 2021 adjunct proceedings, which will be submitted to http://www.cs.ucy.ac.cy/~george/GPListManager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogQ2FsbCBmb3IgRGVtb3MsIFdvcmsgaW4gUHJvZ3Jlc3MgYW5kIERDCTU4MQlHZW9yZ2UJMjkJY2xpY2sJeWVzCW5v&url=http%3A%2F%2Fceur-ws.org for online publication. Submissions of all types should be carefully formatted according to the Springer LNCS format: http://www.cs.ucy.ac.cy/~george/GPListManager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogQ2FsbCBmb3IgRGVtb3MsIFdvcmsgaW4gUHJvZ3Jlc3MgYW5kIERDCTU4MQlHZW9yZ2UJMjkJY2xpY2sJeWVzCW5v&url=https%3A%2F%2Fwww.springer.com%2Fgp%2Fcomputer-science%2Flncs%2Fconference-proceedings-guidelines and should be submitted through the Easy Chair system at: http://www.cs.ucy.ac.cy/~george/GPListManager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogQ2FsbCBmb3IgRGVtb3MsIFdvcmsgaW4gUHJvZ3Jlc3MgYW5kIERDCTU4MQlHZW9yZ2UJMjkJY2xpY2sJeWVzCW5v&url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Diseud2021 Important Dates ? Submissions in all categories: April 21, 2021 ? Notification: May 15, 2021 ? Camera-ready: May 31, 2021 Organizers General Chairs ? Panos Markopoulos (Eindhoven University of Technology, The Netherlands) ? George A. Papadopoulos (University of Cyprus, Cyprus) Program Chairs ? Daniela Fogli (University of Brescia, Italy) ? Daniel Tetteroo (Eindhoven University of Technology, The Netherlands) Short papers Chairs ? Barbara Rita Barricelli (University of Brescia, Italy) ? Simone Borsci (University of Twente, The Netherlands) Work in Progress Chairs ? Jelle Van Dijk (University of Twente, The Netherlands) ? Carmen Santoro (ISTI-CNR, Italy) Demonstration Chair ? Stefano Valtolina (University of Milan, Italy) Workshop Chairs ? Styliani Kleanthous (Open University of Cyprus, Cyprus) ? Simone Stumpf (City University London, UK) Doctoral Consortium Chairs ? Monica Maceli (Pratt Institute, USA) ? Antonio Piccinno (University of Bari, Italy) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Mar 25 03:18:53 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 25 Mar 2021 09:18:53 +0200 Subject: Connectionists: Invitation to join 2021 Spring School 'CVML Short Course - Machine Learning and Deep Neural Networks', 27-28th April 2021 References: <092b01d720ba$7dc753e0$7955fba0$@csd.auth.gr> <004801d720bd$f9b6bf10$ed243d30$@csd.auth.gr> Message-ID: <0b7d01d72147$1c9dfeb0$55d9fc10$@csd.auth.gr> Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in this CVML Short e-course on 'Machine Learning and Deep Neural Networks', 27-28th April 2021: https://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-dee p-neural-networks/ 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. 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 exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Machine Learning and Deep Neural Networks' 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 of Deep Neural Networks, which are at the forefront of AI advances today, starting with introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented: a) Artificial Neural Networks, Perceptron; b) Multilayer perceptron, Backpropagation; c) Deep neural networks. Both data classification and regression problems are treated. Convolutional NNs; d) Recurrent Neural Networks; e) Attention and Transformers. Applications follow in several image analysis, computer vision and autonomous system applications, notably: a) Deep learning for object detection and b) Deep Semantic Image Segmentation. Finally, Generative Adversarial Networks are presented that promise to revolutionize the way we create media/arts, while seriously threatening our democracy with fake data creation and spread. Part B lectures (8 hours) provide fan in-depth presentation of Machine Learning to complement DNNs. Unsupervised Learning (Data Clustering) is first detailed, allowing us to find structure and extract concepts/knowledge from huge high-dimensionality data. Then Supervised Learning (Data Classification) techniques are presented, notably: a) Decision surfaces (whose special case is DNNs and SVMs) and b) Distance based classification. Dimensionality reduction techniques are overviewed, allowing us to visualize high-dimensionality data found in most applications, ranging from Medicine to Financial Engineering. Kernel methods are presented that can boost performance of any linear ML operation (e.g., PCA, K-means etc). Bayesian learning provides a unified theoretical framework that can encompass many of the ML approaches. Deep Reinforcement Learning is also presented, as it is an essential element in novel Robotics/Control and other decision-making application domains. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Deep Neural networks (first day, 8 lectures) 1. Introduction to Machine Learning 2. Artificial Neural Networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Recurrent Neural Networks. LSTMs 6. Attention and Transformers 7. Deep learning for object detection 8. Deep Semantic Image Segmentation Part B: Machine Learning. Pattern Recognition (second day, 8 lectures) 1. Generative Adversarial Networks 2. Data Clustering 3. Decision Surfaces. Support Vector Machines 4. Dimensionality Reduction 5. Kernel Methods 6. Bayesian Learning 7. Deep Reinforcement Learning 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' 5-6th May 2021: http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-systems/ You can use the following link for course registration: http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. 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) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) 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 helena at incf.org Thu Mar 25 10:30:38 2021 From: helena at incf.org (Helena Ledmyr) Date: Thu, 25 Mar 2021 15:30:38 +0100 Subject: Connectionists: INCF Assembly 2021: abstract submission closes March 31! Message-ID: Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program covering different aspects of FAIR neuroscience! Abstract submission is open until March 31, and registration is now open . Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here - one year costs 20 USD for students and postdocs, and 50 USD for regular members. The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online in April! ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Mar 25 10:40:02 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 25 Mar 2021 15:40:02 +0100 Subject: Connectionists: CFP COMPLEX NETWORKS 2021 Madrid Spain November 30 - December 02, 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 02, 2020. *SPEAKERS (TBU)* ? 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 *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 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Frontiers in Big Data 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 *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *ADVISORY BOARD* Jon Crowcroft *University of Cambridge, UK* Raissa D'Souza *UC Davis, USA* Eugene Stanley *Boston University, USA* Ben Y. Zhao *University of Chicago, USA* *PROGRAM CHAIRS* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* *LIGHTNING CHAIRS* Jes?s Gomez Garde?es *University of Zaragoza, Spain* Regino Criado* Universidad Rey Juan Carlos de Madrid, Spain* Huijuan Wang *TU Delft, Netherlands* *POSTER CHAIRS* Manuel Marques Pita *Universidade Lus?fona, Portugal* Taha Yasseri *University of Oxford, UK* Jos? Javier Ramasco *IFISC, Spain* *TUTORIAL CHAIRS* Luca Maria Aiello *Nokia-Bell Labs, UK* Leto Peel *Universit? Catholique de Louvain, Belgium* *SATELLITE CHAIRS* Sabrina Gaito *Universit? degli Studi di Milano, Italy* Javier Galeano *Universidad Politecnica de Madrid, Spain* *PUBLICITY CHAIRS* Benjamin Renoust *Osaka University, Japan* Xiangjie Kong* Dalian* *University of Technology, China* *SPONSOR CHAIR* Roberto Interdonato *CIRAD, France* *PUBLICATION CHAIR* Matteo Zignani *Universit? degli Studi di Milano, Italy* *WEB CHAIR* Stephany Rajeh *University of Burgundy, France* *LOCAL COMMITTEE CHAIR* Juan Carlos Losada *Universidad Politecnica de Madrid, Spain* 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 michael.felsberg at liu.se Thu Mar 25 11:21:33 2021 From: michael.felsberg at liu.se (Michael Felsberg) Date: Thu, 25 Mar 2021 15:21:33 +0000 Subject: Connectionists: Assistant Professor (tenure track) in Computer Vision with focus on Machine Learning Message-ID: <94b4d8480fd5ff8adddf2e5d0238d72736330a13.camel@liu.se> Link?ping University (Sweden) is looking for good candidates for a position as Assistant Professor (tenure track) in Computer Vision with focus on Machine Learning Deadline is May 11, 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 jiaxiangzhang at gmail.com Thu Mar 25 17:31:50 2021 From: jiaxiangzhang at gmail.com (Jiaxiang ZHANG) Date: Thu, 25 Mar 2021 21:31:50 +0000 Subject: Connectionists: Research Associate Position at Cardiff University Brain Research Imaging Centre Message-ID: [Apologize for cross-posting] Dear all, We are seeking an enthusiastic early-career scientist for a research associate position at Cardiff University Brain Research Imaging Centre (CUBRIC). The successful candidate will join a collaborative and multidisciplinary research team to work on the neurocognitive mechanisms of human decision-making, integrating multimodal brain imaging (MEG, functional MRI and diffusion MRI) and computational modelling. The post holder will develop computational models that describe data from behavioural and brain imaging experiments, in particular to take a lead role in integrating large-scale computational simulations with imaging results from multiple modalities. The research aims to understand the computational and neurocognitive processes of human decision-making, and how decision deficits may arise due to brain injury or neurodegeneration. The research associate will also be expected to collaborate with other researchers in the team on imaging data analyses and data curation. You will have access to imaging facilities at CUBRIC and several multimodal imaging datasets. Cardiff University Brain Research Imaging Centre (CUBRIC) houses a unique combination of state-of-the-art facilities and world-leading expertise, with 4 human MRI systems (2 x Siemens Prisma, 1 x Siemens Connectom, 1 x Siemens 7T), MEG, EEG, TMS, tDCS, clinical research units and testing labs. Further details of CUBRIC can be found on our webpage (http://sites.cardiff.ac.uk/cubric). This is a full-time, fixed-term position until February 2023, available to start now. Remote working is possible if COVID-19 restrictions are in place. For informal enquiries, please contact Dr Jiaxiang Zhang ( zhangj73 at cardiff.ac.uk). A formal application needs to be submitted via the link online ( https://www.jobs.ac.uk/job/CEQ831/research-associate). *Application deadline: April 6th, 2021.* *Essential Criteria* 1. A PhD degree in a relevant discipline (e.g., mathematics, computer science, engineering, physics or psychology) 2. Research experience or a strong interest in human decision-making 3. Strong experience in computational models of cognitive processes and/or macroscopic neural systems, including the use of neural mass models or neural field models 4. Experience of analysing brain imaging data in one or more modalities (e.g., diffusion MRI, BOLD functional MRI, MEG/EEG), using common software packages 5. Strong programming skills (e.g., Matlab, Python, C/C++ or R) 6. Experience with Unix/Linux environment for data analysis, including bash scripting and parallel computing on high-performance clusters 7. Proven ability to publish high-quality research in peer-reviewed academic journals 8. Knowledge of software development cycles and best programming practices, including coding standards, version control administration, debug and code sharing, with strong commitments to open science practices 9. Excellent written and verbal communication skills, evidenced by publications and/or conference presentations 10. Strong interpersonal skills, including proven ability to work cooperatively within a team while also being able to take the initiative *Desirable Criteria * 1. Experience of brain functional and structural connectivity analyses 2. Experience in statistical methods (e.g., GLM, mixed models, multivariate statistics, hierarchical models and Bayesian statistics) and/or machine learning methods 3. Experience in deep learning models of imaging processing --- Dr. Jiaxiang Zhang Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology Cardiff University Maindy Road, Cardiff, CF24 4HQ https://ccbrain.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmasulli at e-nns.org Fri Mar 26 05:13:23 2021 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Fri, 26 Mar 2021 10:13:23 +0100 Subject: Connectionists: CFP 30th International Conference on Artificial Neural Networks ICANN 2021, Sept 14-17, ONLINE, Deadline extension Message-ID: 30th International Conference on Artificial Neural Networks ICANN 2021 https://e-nns.org/icann2021 *ONLINE EVENT* 14 - 17 September 2021 *Deadline extended to April 15, 2021* ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2021 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 30th ICANN Conference from the 14th to the 17th of September 2021. *Online event:* Due to the uncertainty regarding the re-opening of Europe during 2021, *ICANN is going fully online this year*. We will still have keynote talks, contributed talks and poster sessions, and nothing changes regarding the conference proceedings in Springer LNCS. * **CONFERENCE TOPICS* ICANN 2021 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and action. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2021 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. *CALL FOR PAPERS* Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be on the conference website: https://e-nns.org/icann2021/ *IMPORTANT DATES* Opening of contribution submissions: 15 Feb 2021 Deadline for full paper and extended abstract submission: 15 Apr 2021 Notification of acceptance: 25 May 2021 Camera-ready paper and registration opening: 15 June 2021 Deadline for early registration at discount rate: 30 June 2021 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. *ORGANISATION* General Chairs: Igor Farka? (FMPI, Comenius University in Bratislava, Slovakia) ?ubica Be?u?kov? (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Krist?na Malinovsk? (FMPI, Comenius University in Bratislava, Slovakia) Sebastian Otte (University of T?bingen, Germany) Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) V?ra K?rkov?, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: kjkkfonoiedbifel.png Type: image/png Size: 8934 bytes Desc: not available URL: From aconst12 at cs.ucy.ac.cy Fri Mar 26 14:17:09 2021 From: aconst12 at cs.ucy.ac.cy (Argyris Constantinides) Date: Fri, 26 Mar 2021 20:17:09 +0200 Subject: Connectionists: ACM UMAP Workshop - APPS 2021 EXTENDED CALL FOR PAPERS Message-ID: Workshop on Adaptive and Personalized Privacy and Security (APPS 2021) - ACM UMAP Workshop EXTENDED CALL FOR PAPERS The Third International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 29th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021), Online from Utrecht, the Netherlands, June 21-25, 2021 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions in EasyChair by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=acmumap2021 IMPORTANT DATES Paper submission: April 2, 2021, 23:59 AoE time (extended) Notification to authors: April 23, 2021 Camera-ready version of accepted papers: May 07, 2021 MOTIVATION & GOALS Millions of users across different continents and countries are daily engaged with privacy and security tasks which are indispensable in modern information systems and services. Such tasks are commonly related to user authentication, human interaction proofs (e.g., captcha), privacy and security pop-up dialogs, setting privacy and security features within online user profiles, etc. Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user?s physical, technological and interaction context in which computation takes place. APPS 2021 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2021 will be on challenges and opportunities related to the Covid-19 outbreak for ensuring privacy and security of users' interactions in online systems (like challenges for online distance learning, e-Government, e-Commerce, the need for touchless authentication, etc.). The workshop will address the following objectives: - increase our understanding and knowledge on supporting usable privacy and security interaction design through novel user modeling mechanisms and adaptive user interfaces; - discuss methods and techniques for understanding user attitudes and perceptions towards privacy and security issues in various application areas; - identify human-centered models for the design, development and evaluation of adaptive and personalized privacy and security systems; - discuss methods for evaluating the impact and added value of adaptation and personalization in privacy and security systems. TOPICS OF INTEREST Topics of interest include, but are not limited to: - Privacy and security in smart patient-centric healthcare systems - Adaptation and personalization approaches in usable privacy and security - Effects of human factors (e.g., cognition, personality, etc.) in privacy and security systems - Novel user interaction concepts and user interfaces for achieving usable security - Cultural diversity in usable privacy and security - Context-aware privacy and security - Adaptive usable security in various domains such as healthcare, IoT, automotive - Trust perceived in patient-centric healthcare systems - Perceived security and usability in patient-centric healthcare systems - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Lessons learned from the deployment and use of usable privacy and security features - Ethical considerations in adaptive and personalized privacy and security PAPER SUBMISSION & PUBLICATION All workshop papers must contain original, previously unpublished, research work adhering the two publication types: - Full research papers (10 pages, incl. references), proposing new approaches, innovative methods and research findings. - Short research papers (7 pages, incl. references), presenting works in progress, lessons learned, emerging or future research issues and directions on topics related to APPS. Manuscripts should be formatted according to the new workflow and template for ACM publications (https://www.acm.org/publications/taps/word-template-workflow ). Please submit your paper through the EasyChair submission system by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=acmumap2021 Accepted papers will be published by the ACM and will be available via the ACM Digital Library. ORGANIZING COMMITTEE Argyris Constantinides, Cognitive UX LTD, CY & University of Cyprus, CY Marios Belk, Cognitive UX GmbH, DE & University of Cyprus, CY Christos Fidas, University of Patras, GR Juliana Bowles, University of St. Andrews, UK Andreas Pitsillides, University of Cyprus, CY -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Sat Mar 27 00:32:12 2021 From: jonizhong at msn.com (Joni Zhong) Date: Sat, 27 Mar 2021 04:32:12 +0000 Subject: Connectionists: [CFP] 1st CFP: SMC 2021 Special Session: Human-in-the-loop Learning System and its User-centric Methods In-Reply-To: References: Message-ID: --- (Apologies for cross-posting; please pass along to any colleagues and students you think may be interested.) --- SPECIAL SESSION ON ?Human-in-the-loop Learning System and its User-centric Methods? The 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021) October 17-20, 2021 ? Melbourne, Australia (Code jgrt6) DEADLINES April 5, 2021: deadline for paper submission May 26, 2021: notification of paper acceptance/rejection July 12, 2021: deadline for final camera-ready papers. Session Organizers: Dr. Junpei Zhong Prof. Ahmad Lotfi Dr. David Ada Adama Dr. Weihong Chin Session area: Human-Machine Systems Session description: Human-in-the-Loop (HIL) means including human feedback into the training loop of the machine learning models to improve the quality of training and to augment the functions of the model. The key research problems in algorithms are how we can evaluate the uncertainty of a model?s prediction? How to leverage both active learning from a human and the optimization of the models? When we use hierarchical reinforcement learning, how can we achieve the goals when the reward is sparse? In sum, we should find an optimal solution to the trade-off between the model?s accuracy and efficiency in designing the HIL algorithms. Apart from the algorithm design, another key issue in HIL research is from a user-centric perspective, in both data collection and model evaluation steps. Since the quality of the training datasets is also extremely important, how to integrate multi-modal data from the users with different sensing techniques, such as smart gloves made by flexible sensors, portable eye-trackers, portable brain imaging techniques, is another problem. How can we design the users? subjective evaluation based on multi-modal signals? Furthermore, proper designs the interaction between machines and human could also relate to HCI and UX/UI fields etc. This special session is a follow-up session of ?HIL machine learning and its applications? in SMC2020. We offer an opportunity for researchers and practitioners in diverse fields from machine learning, robotics, designers or end-users to join the discussion. A selection of the accepted papers is welcomed to submit their extended versions to a special issue of a journal we edit later this year, subject to rigorous peer review. Topics of interest include, but are not limited to: ? Human-Centric Design for Robots or other Intelligent Devices ? Human Guided Reinforcement Learning ? Human-robot Collaboration ? Human-robot Social Interaction ? Dialogue Systems with Human-in-the-loop ? Interpretable Machine Learning with Human-in-the-loop ? Active Learning and Continuous Learning ? Learning by Demonstration ? Human Factors in HCI/HRI ? etc. SUBMISSION Papers must be submitted electronically for peer review through PaperCept by April 5, 2021: https://conf.papercept.net/conferences/scripts/start.pl. In PaperCept, click on the SMC 2021 link ?Submit a contribution to SMC 2021? and follow the steps. (Code jgrt6) All papers must be written in English and should describe the original work. For guidelines, please follow the SMC website link http://ieeesmc2021.org/call-for-papers/ DEADLINES April 5, 2021: deadline for paper submission May 26, 2021: notification of paper acceptance/rejection July 12, 2021: deadline for final camera-ready papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: SMC-2021-CFP-proposal-v2.pdf Type: application/pdf Size: 497734 bytes Desc: SMC-2021-CFP-proposal-v2.pdf URL: From P.Tino at cs.bham.ac.uk Sun Mar 28 10:25:32 2021 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Sun, 28 Mar 2021 15:25:32 +0100 Subject: Connectionists: CFP: 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) Message-ID: <7ce5fbcf-b686-151a-13cc-a6462b878102@cs.bham.ac.uk> Dear all, 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) will take place on 25-27 November 2021, in Manchester, UK. *** IDEAL is an annual international conference dedicated to emerging and challenging topics in intelligent data analytics and associated learning systems and paradigms. Following the recent successful events: IDEAL 2020 in Guimar?es (virtual), IDEAL 2019 in Manchester, and IDEAL 2018 in Madrid, IDEAL 2021 will be back in Manchester, physical, virtual or hybrid. Its main research themes or topics include, but not limited to: Big Data Analytics Machine Learning & Deep Learning Data Mining Information Retrieval and Management Bio and Neuro-Informatics Bio-Inspired Models Agents and Hybrid Intelligent Systems Real-world Applications of Intelligent Techniques *** Important Dates: Special Session/ Workshop Proposals Deadline: 1 June 2021 Submission Deadline: 1 July 2021 Notification of Acceptance: 1 August 2021 Camera-Ready Files Due: 1 September 2021 Early/Author Registration: 1 September 2021 Conference Presentation: 25-27 November 2021 Springer LNCS/LNAI Proceedings More details: https://ideal-conf.com/ many thanks, peter -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 http://www.cs.bham.ac.uk/~pxt/ From salvadordura at gmail.com Sat Mar 27 08:59:20 2021 From: salvadordura at gmail.com (Salvador Dura) Date: Sat, 27 Mar 2021 12:59:20 +0000 Subject: Connectionists: Paid internships in computational neuroscience Message-ID: Two paid internships position in computational neuroscience are available in the Dura-Bernal Lab at the State University of New York (SUNY) Downstate Health Sciences University. Students will have the opportunity to gain research experience and learn cutting edge methods in computational neuroscience: large-scale modeling of neuronal cortical circuits to study brain function and disease; machine learning applied to neuroscience; development of neuroscience software tools. For more details see Research and Current Collaborations. For details please see: http://dura-bernal.org/internships. -- Salvador Dur?-Bernal, Ph.D. Assistant Professor, State University of New York Downstate Medical Center Research Scientist IV, Nathan Kline Institute for Psychiatric Research Lab web: dura-bernal.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Fabrice.Rossi at apiacoa.org Mon Mar 29 03:36:09 2021 From: Fabrice.Rossi at apiacoa.org (Fabrice Rossi) Date: Mon, 29 Mar 2021 09:36:09 +0200 Subject: Connectionists: ESANN 2021 SS CFP - Anomaly and change point detection, in geometric and non-vector data Message-ID: <055422bc-fefc-4dd1-b9ab-0c8ec1dce5b7@apiacoa.org> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Anomaly and change point detection in geometric and non-vector data" at ESANN 2021 - https://www.esann.org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021). 6-8 October 2021, Bruges, Belgium - http://www.esann.org Non vector data are ubiquitous in contemporary data science applications. They take various forms, from simple categorical observations to dynamic graphs. In some cases, they also integrate a temporal component. Because of the geometry implied by their quantized nature, non-vector data raise specific challenges in the context of abnormal behaviour detection. Consider for instance a time series which values are vertices of a graph: how can we extend the notion of change point detection in such a series? What about a time series of full graphs? Numerous research directions have been explored in this context, including, among others the following ones: - vector embedding - dissimilarity based methods - generative models - kernel methods - deep learning - etc. This special session is driven by two related and complementary issues: - detecting outliers in non-vector data - detecting anomalies and change-points in non-vector data with a temporal dimension, whether in online and/or offline fashion. Non-vector data may include, but are not limited to, the following cases: - categorical data, especially when the number of categories is high or when some structure exists over the categories (such as a taxonomy) - texts, for instance organized in collections or evolving through time as the results of editions - graphs, including temporal graphs, attributed graphs, etc. - other (semi)structured data such as for instance computer programs in binary or source form, XML documents, etc. We encourage submission of theoretical results, methodological advances and novel applications. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6. Papers will undergo a peer reviewing process for acceptance. IMPORTANT DATES: - Paper submission deadline: 10 May 2021 - Notification of acceptance: 20 July 2021 - Deadline for final papers: 20 August 2021 - The ESANN 2021 conference: 06-08 October 2021 Organisers: - Madalina Olteanu (Madalina.Olteanu at dauphine.psl.eu) CEREMADE - Universit? Paris Dauphine PSL - Fabrice Rossi (Fabrice.Rossi at dauphine.psl.eu) CEREMADE - Universit? Paris Dauphine PSL - Florian Yger (Florian.Yger at dauphine.psl.eu) LAMSADE - Universit? Paris Dauphine PSL From georgios.yannakakis at um.edu.mt Mon Mar 29 03:32:23 2021 From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis) Date: Mon, 29 Mar 2021 09:32:23 +0200 Subject: Connectionists: ACII 2021 - Special Session on Ordinal Affective Computing / Paper submission: 9/4! In-Reply-To: References: Message-ID: Special Session on Ordinal Affective Computing https://www.acii-conf.net/2021/special-session3/ Psychological theories and evidence from multiple disciplines including neuroscience, economics and artificial intelligence suggest that the task of assigning reference-based values to subjective notions is better aligned with the underlying representations. An increasing number of studies have reported the advantages of ordinal annotation over alternative methods (e.g., nominal and interval descriptors) with respect to both reliability and validity. The impact of such evidence on affective computing is extremely important in the ways we annotate, analyze and process emotions. The emerging approach of using ordinal representations has led to improved performance across several tasks, including face analysis, speech recognition, body-based affective interaction, game applications, and retrieval of music and sounds. Studies relying on the ordinal nature of emotions are scattered across different venues, including several conferences related to affective computing (ACM ICMI, IEEE FG, Interspeech, ICASSP, ACII). The second ACII special session on the topic (the first was held in ACII 2019) has the unique opportunity to bring together researchers working on, but not limited to: - Psychological methods and tools for the ordinal representation of emotions - Statistical methods for ordinal label analysis - Preference learning and ranking-based methods for emotion recognition - Ordinal methods for the annotation of emotional behaviours - Ordinal multimodal corpora - Software for ordinal label processing Organizers: Georgios N. Yannakakis, Carlos Busso, Shri Narayanan, and Roddy Cowie -- Georgios N. Yannakakis Professor, Director Institute of Digital Games University of Malta, Msida 2080 Malta -------------- next part -------------- An HTML attachment was scrubbed... URL: From pal.johan.from at nmbu.no Mon Mar 29 03:51:03 2021 From: pal.johan.from at nmbu.no (=?utf-8?B?UMOlbCBKb2hhbiBGcm9t?=) Date: Mon, 29 Mar 2021 07:51:03 +0000 Subject: Connectionists: [jobs] Open Position as Associate Professor within Agricultural Robotics Message-ID: Associate Professor within Agricultural Robotics The Department of Mechanical Engineering and Technology Management at the Faculty of Science and Technology has a vacancy as Associate professor within agricultural robotics. The position is full time and permanent (tenure). The position is affiliated with the Robotics group, and will focus on autonomous, robust, and reliable navigation, localization, and mapping (e.g., SLAM) for mobile robots. The main application domain is agricultural robotics both indoor in tunnels and greenhouses as well as in outdoor environments. Main tasks The main tasks for this position will be teaching and research within Agricultural Robotics. * Supervision of PhD and Master students * Participation in the development of study programs and the department * Participation in research projects and initiate new research projects within agricultural robotics * Establishing collaborations ? interdisciplinary and beyond campus * Academic administration About the position Since 2019 the Faculty has offered a master?s degree in applied Robotics. Currently 50 students attend the Master program, and it is estimated that within 2024 the number of students will reach 125 for the five-year program. The Robotics group participates in several groundbreaking research projects within precision agriculture and food production. The group is known for developing the autonomous agricultural robot Thorvald, strong track record in developing, testing, and commercializing robots. The following research topics are highly relevant examples for the field of agricultural robotics * Autonomous navigation that allows the robots to analyze and understand the agricultural environment, adapt to changing conditions caused by weather and plant growth, and allow mobile robots to operate robustly in such challenging conditions * Safety, in particular recognition of dangerous situations for the robot and its environment * Advanced machine vision for navigation in agricultural environments. Such abilities should result in robust and reliable solutions for navigating in unstructured environments. * Advanced machine vision for manipulation in agricultural environments. Such abilities will enable a range of agricultural applications including selective harvesting, precision operations (e.g., weeding) and agronomy support (e.g., yield prediction, soil health analysis, etc.) * Machine learning and AI for the agricultural domain The Robotics group represents a research area in development. Currently it has a staff of 3 permanent academic positions, 10 PhD students, 4 Post doctors, engineers, researchers, and administrative staff. In total about 23 people. With this position the faculty aims to strengthen the permanent academic staff. The successful candidate is expected to teach and conduct research and development in the field of agricultural robots. REALTEK offers new academic staff a unique onboarding package: If you are not already main supervisor for a PhD-student, you will be prioritized when distributing university funded PhD positions You will get NOK 50.000 as start-up-funding for conference fee, travels, etc. The faculty aims to boost research, and provides financial support for networking activities, short stays abroad and a mentor scheme for new staff Further information about the robotics group: http://www.nmbu.no/go/robotics Competence Required Academic qualifications * PhD and master?s degree in robotics or other relevant discipline * Highly skilled in the field of robotics * Documented educational competence using a ?teaching portfolio?. Those who do not meet the educational requirements for employment shall be required to meet them within two years of employment. The following experiences and skills will be an advantage * Good track record of publications in highly ranked journals and conferences * Experienced in the field of robotics * Comprehensive experience in software development for robotics, in particular ROS (Robot Operating System) * Track record in securing funding for research and development * Pedagogical and administrative skills and experience/expertise * Experience from large research projects and/or industry The following language skills are required * Proficiency in English, written and oral * Fluency in a Scandinavian language (Norwegian, Swedish, or Danish). Candidates not fluent in a Scandinavian language will be committed to become fluent (level C1 or similar) in Norwegian within three years of employment, to be able to participate actively in all functions the position may involve. Personal suitability will be given weight. NMBU wants more women in permanent scientific positions. Women are therefore encouraged to apply. To apply for this position, please use the following link: https://www.jobbnorge.no/en/available-jobs/job/203581/associate-professor-within-agricultural-robotics --- P?l Johan From, Ph.D. Professor Head of Robotics Group Faculty of Sciences and Technology Norwegian University of Life Science Postbox 5003 1432 ?s Norway tel: +47 67231603 cel: +47 90690932 e-mail: pafr at nmbu.no http://www.nmbu.no/go/robotikk http://www.nmbu.no/go/robotics? -------------- next part -------------- An HTML attachment was scrubbed... URL: From scienceeventsfb at gmail.com Mon Mar 29 06:03:55 2021 From: scienceeventsfb at gmail.com (Felix Ball) Date: Mon, 29 Mar 2021 12:03:55 +0200 Subject: Connectionists: 4th Modelling Symposium (Deep Neural Networks), July, 2021, pre-registration open Message-ID: Please forward this mail to anyone who might be interested in attending the workshop. ----- Dear fellow scientists and modellers, After some ups and downs, I am delighted to announce that the 4th Modelling Symposium will take place in July, 2021 (26.07.2021 - 30.07.2021). Due to the ongoing pandemic it will be an online seminar (using Zoom). The symposium will provide you with an introduction into Deep Neural Networks (DNNs) covering a wide range of topics, including basic introductions into DNNs, common building blocks, design patterns and architectures, best practices, optimization, applications etc. For more details and pre-registration, please visit my website: https://felix-ball.jimdofree.com/workshops/ Summary/ General information: ? The Symposium takes place in July (26.07.2021 - 30.07.2021, 4-day Workshop) in Magdeburg, Germany. ? The registration/pre-registration deadline is April, 1st (2021). ? The costs of the workshop are 0 ? (NWG member), 150 ? (non-NWG member, academia) and 300 ? (non-NWG member, outside academia). ? There are possibilities to present your research/research idea (poster) and discuss your project ideas/data with our tutor. Looking forward to see you online, Felix Ball -------------- next part -------------- An HTML attachment was scrubbed... URL: From scienceeventsfb at gmail.com Mon Mar 29 06:13:50 2021 From: scienceeventsfb at gmail.com (Felix Ball) Date: Mon, 29 Mar 2021 12:13:50 +0200 Subject: Connectionists: 4th Modelling Symposium (Deep Neural Networks), July, 2021, pre-registration open Message-ID: Please excuse the second mail. The registration deadline is *1st of May* and not 1st of April. ----- Please forward this mail to anyone who might be interested in attending the workshop. ----- Dear fellow scientists and modellers, After some ups and downs, I am delighted to announce that the 4th Modelling Symposium will take place in July, 2021 (26.07.2021 - 30.07.2021). Due to the ongoing pandemic it will be an online seminar (using Zoom). The symposium will provide you with an introduction into Deep Neural Networks (DNNs) covering a wide range of topics, including basic introductions into DNNs, common building blocks, design patterns and architectures, best practices, optimization, applications etc. For more details and pre-registration, please visit my website: https://felix-ball.jimdofree.com/workshops/ Summary/ General information: ? The Symposium takes place in July (26.07.2021 - 30.07.2021, 4-day Workshop) in Magdeburg, Germany. ? The registration/pre-registration deadline is May, 1st (2021). ? The costs of the workshop are 0 ? (NWG member), 150 ? (non-NWG member, academia) and 300 ? (non-NWG member, outside academia). ? There are possibilities to present your research/research idea (poster) and discuss your project ideas/data with our tutor. Looking forward to see you online, Felix Ball -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Mar 29 09:07:38 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 29 Mar 2021 16:07:38 +0300 Subject: Connectionists: Invitation to join 2021 Spring School 'CVML Short Course - Computer Vision for Autonomous Systems', 5-6th May 2021 References: <13d501d72492$62b9d510$282d7f30$@csd.auth.gr> <00af01d7249b$9f5e09b0$de1a1d10$@csd.auth.gr> Message-ID: <00a701d7249c$7f1dda80$7d598f80$@csd.auth.gr> Dear Computer Vision, Deep Learning and/or Autonomous systems engineers, scientists and enthusiasts, you are welcomed to register in this CVML Short e-course on 'Computer Vision for Autonomous Systems', 5-6th May 2021: https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auto nomous-systems/ 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. 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 exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. 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 of 2D and 3D Computer Vision theory and applications in the above-mentioned diverse domains, primarily for semantic 3D world modeling and localization. Computer Vision starts with a detailed presentation of digital image/video fundamentals and image acquisition and camera geometry, including camera calibration. Then, two lectures on: a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. This is complemented by Neural techniques for recovering depth information and 3D world modeling, even from monocular images. Deep semantic image segmentation will conclude this part, by providing DNN methods both to label and segment regions, e.g., roads and targets, e.g., cars, pedestrians. Part B lectures (8 hours) will start with an overview of Autonomous Systems Sensors. Then , it will provide an in-depth presentation of Computer Vision theory and applications in autonomous systems, particularly as related to target detection, tracking and object pose estimation. Applications will be presented for Multiple Drone Systems Autonomous Car Vision and Autonomous Marine Surface Vessels. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Computer Vision (first day, 8 lectures) 1. Digital images and videos 2. Image Acquisition. Camera Geometry 3. Stereo and Multiview Imaging 4. Structure from Motion 5. 3D Robot Localization and Mapping 6. Neural 3D world modeling 7. Image/Point cloud registration 8. Deep semantic image segmentation Part B: Autonomous Systems (second day, 8 lectures) 1. Autonomous Systems Sensors 2. Deep object detection 3. Object Tracking 4. Object Pose Estimation 5. Multiple Drone Systems 6. Autonomous Car Vision 7. Autonomous Surface Vessels 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 'Machine Learning and Deep Neural Networks' 27-28th April 2021: http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ You can use the following link for course registration: http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-systems/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. 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) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) 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 renoust at ids.osaka-u.ac.jp Mon Mar 29 09:01:01 2021 From: renoust at ids.osaka-u.ac.jp (Benjamin Renoust) Date: Mon, 29 Mar 2021 15:01:01 +0200 Subject: Connectionists: [CFP FRCCS] French Regional Conference on Complex Systems May 26 - 28, 2021 Dijon Message-ID: COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions, we are currently evaluating hybrid and virtual options. We will make a decision in the coming weeks. French Regional Conference on Complex Systems May 26 - 28, 2021 Dijon, France FRCCS 2021 You are cordially invited to submit your contribution until April 06, 2021 (Firm deadline). FRCCS 2021 (French Regional Conference on Complex Systems 2021) is the first edition of the French Regional Conference on Complex Systems. It aims to promote interdisciplinary exchanges between regional researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the perspective of complexity science. Keynote Speakers (To Be Updated) Alain Barrat Centre de Physique Th?orique, CNRS Marseille Guillaume Deffuant INRAE Julie Dugdale University Grenoble Alps Marten D?ring University of Luxembourg Cesar A. Hidalgo University of Toulouse Denise Pumain Panth?on-Sorbonne University Camille Roth Centre Marc Bloch CNRS Andrei Zinovyev Institut Curie Submission Guidelines Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: - Full paper about original research - Extended Abstract about published or unpublished research. It is recommended to be between 2-3 pages. They should not exceed four pages. - Submissions must follow the Springer publication format available on the journal Applied Network Science in the Instructions for Authors' instructions entry. - All contributions should be submitted in pdf format via EasyChair. Publication All Accepted submissions of unpublished work will be invited for publication in a special issue (fast track procedure) in one of the journals: - Applied Network Science edited by Springer - Complexity edited by Hindawi Topics include, but are not limited to: - Foundations of complex systems - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies, and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - Complex Networks - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - Neuroscience, Linguistics - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - Economics & Finance - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - Infrastructure, planning, and environment - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - Biological and (bio)medical complexity - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - Social complexity - social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - Socio-Ecological Systems - Global environmental change, green growth, sustainability & resilience, and culture - Organisms and populations - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - Engineering systems and systems of systems - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - Complexity in physics and chemistry - quantum computing, quantum synchronization, quantum chaos, random matrix theory) GENERAL CHAIR Hocine Cherifi LIB, UBFC, Dijon ADVISORY BOARD Cyrille Bertelle LITIS, Normastic, Le Havre David Chavalarias ISC PIF, Paris Chantal Cherifi DISP, Lyon Bertrand Jouve LISST, Toulouse Hamamache Kheddouci LIRIS, Lyon Benjamin Renoust Median Technologies, Sophia Antipolis -- Benjamin Renoust Guest Associate Professor Osaka University, Institute for Datability Science Suita Campus, TechnoAlliance Building #C503 2-8, Yamadaoka, Suita, Osaka, 565-0871, Japan tel: +81-6-6105-6073 fax:+81-6-6105-6075 renoust at ids.osaka-u.ac.jp -------------- next part -------------- An HTML attachment was scrubbed... URL: From pattichi at ucy.ac.cy Mon Mar 29 10:51:59 2021 From: pattichi at ucy.ac.cy (Constantinos Pattichis) Date: Mon, 29 Mar 2021 17:51:59 +0300 Subject: Connectionists: [CAIP2021] CAIP 2021 - VIRTUAL CONFERENCE - EXTENDED PAPER SUBMISSION DEADLINE - 05 MAY 2021 In-Reply-To: <019e01d724a3$e3d4eb10$ab7ec130$@easyconferences.eu> References: <016801d6f32e$5441ec60$fcc5c520$@easyconferences.eu> <01bd01d6f3b1$2e833500$8b899f00$@easyconferences.eu> <00e801d6f47c$437dfaa0$ca79efe0$@easyconferences.eu> <00f001d6f47c$9c7e6720$d57b3560$@easyconferences.eu> <042a01d70075$8e432e20$aac98a60$@easyconferences.eu> <019e01d724a3$e3d4eb10$ab7ec130$@easyconferences.eu> Message-ID: *Due to the COVID-19 global pandemic, CAIP 2021 will be held as a virtual conference. The Organizing Committee would like to thank you for your commitment and support and reassure you that they are dedicated to offering the best possible online experience to attendees.* Call for Papers*http://cyprusconferences.org/caip2021 * CAIP 2021 is the 19th in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Salerno, Ystad, Valletta, York, Seville, M?nster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track. Furthermore, CAIP 2021 will feature contests and tutorials preceding the main conference event, as well as workshops following the main conference event. CAIP 2021 will also host a student?s paper competition. *Fields of Interest* The conference invites novel contributions to the automatic analysis of images and patterns, encompassing both new challenging application areas and substantial new theoretical developments in the field. - 3D Vision - Biomedical image and pattern analysis - Biometrics - Brain ? inspired methods - Computer Vision Accelerators - Deep Learning - Document analysis - Egocentric Vision - Face and gestures - Feature Extraction - Graph-based methods - High ? dimensional topology methods - Human pose estimation - Image restoration - Image/video indexing & retrieval - Keypoint detection - Machine learning for image and pattern analysis - Mobile multimedia - Model-based vision - Motion and tracking - Object recognition - Segmentation - Shape representation and analysis - Vision for robotics / drones/ UAVs *Special Research Award* CAIP 2021 will give a special research award for the best paper of the conference associated to COVID-19 research, in order to honor those who have lost their lives and the heroes and the volunteers associated to the COVID-19 crisis. Committees *General Chairs* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Andreas Lanitis* *CYENS & Cyprus University of Technology, Cyprus* *Nicolai Petkov* *University of Groningen, Netherlands* *Program Chairs* *Nicolas Tsapatsoulis* *Cyprus University of Technology, Cyprus* *Andreas Panayides* *University of Cyprus, Cyprus* *Theo Theocharides* *KIOS & University of Cyprus, Cyprus* *Mario Vento* *University of Salerno, Italy * *LOC* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Constandinos Mavromoustakis* *IEEE Cyprus Section & University of Nicosia Research Foundation, Cyprus* *Alexis Polycarpou* *IET Cyprus* *Toumazis Toumazi* *Cyprus Computer Society* Important Dates *Special Sessions proposal submission* 05 May 2021 *Special Sessions acceptance notification* 10 May 2021 *Paper Submission* 05 May 2021 *Author notification* 15 June 2021 *Camera-ready paper due* 01 July 2021 *Early bird registration* 31 July 2021 Contact *For Academic Enquiries please contact:* *Prof. Constantinos S. Pattichis *pattichi at ucy.ac.cy *For Arrangements and Registration Information:* *Easy Conferences *info at easyconferences.eu *Organized and Sponsored by* [image: cid:image001.png at 01D6F3C1.F099B050] *Endorsed by* [image: cid:image004.jpg at 01D6D496.3800FCA0] *Co-Organizers & Co-Sponsors* [image: cid:image010.jpg at 01D6D496.3E127BF0] *Technical Co-Sponsors* [image: cid:image011.jpg at 01D6D496.3E127BF0] cyprusconferences.org/caip2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 5249 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image010.jpg Type: image/jpeg Size: 2687 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Aim and Scope In this workshop, we put together the top-tier researchers on machine learning, in particular social signal processing, and human-robot interaction to discuss, understand and propose possible solutions for our overall topic ?Competition and Cooperation: How to integrate machine learning and human-robot interaction in meaningful applications??. Our intention is to leverage an enriching discussion of the existing problems on competitive and cooperative interactions on the multidisciplinary view of our contributors, and not to present individual solutions for each of the related topics. Our invited speakers, all experts in their respective areas, will discuss the open problems involving social agents' interactions within their specialty. We also invite the submissions of position papers that present a critical view on this topic to complement and widen our discussions. More information: https://www.whisperproject.eu/compcoop II. Potential Topics Topics of interest include, but are not limited to: - Supervised, Unsupervised, and Self-supervised models for social signal processing. - Reinforcement Learning for Multi-agent interaction. - Representation Learning and Decision Making applied for - Competitive and/or Cooperative Scenarios. - Human-Robot interactions in Real-world Competitive and/or Cooperative scenarios. - Ethical aspects of artificial agents and social interactions. - Affective Computing Models and Applications for Multi-Agent Interactions. - Cognitive Models for Social Interaction. - Lifelong and Continual Learning for Interactions with Humans. - Learning with Humans in the Loop. - Developmental Learning for Social Signal Processing. - Explainable Social Agents. - Social Impact of novel Developments on Artificial Agents and Social Interactions. - Cognitive models for Social Interaction. III. Submission The workshop holds a public call for short (up to 4 pages) and long papers (up to 8 pages) that address any of the related topics. We encourage the participants to submit not only contribution papers but also position arguments about the current problems involving any of the related topics. The authors should follow the IJCAI paper template. - Paper submission deadline: May 4, 2021 - Decisions: May 18, 2021 - Camera-ready papers due: June 14, 2020 Submission website: https://cmt3.research.microsoft.com/CompCoop2021 IV. Organizers Pablo Barros, Italian Institute of Technology (IIT), Italy Doreen Jirak, Italian Institute of Technology (IIT), Italy Francisco Cruz, School of IT, Deakin University, Australia German I. Parisi, McD Tech Labs, USA ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia ? Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros at iit.it website: https://www.pablobarros.net twitter: @PBarros_br -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurent.perrinet at univ-amu.fr Mon Mar 29 10:28:46 2021 From: laurent.perrinet at univ-amu.fr (PERRINET Laurent) Date: Mon, 29 Mar 2021 14:28:46 +0000 Subject: Connectionists: Postdoc position in Neuromorphic Engineering References: Message-ID: <9D4ECA75-B8C7-4687-B7A5-6DFFAA630CEF@univ-amu.fr> Begin forwarded message: From: sio > Subject: [jobs] Postdoc position Date: 12 February 2021 at 15:33:36 GMT+1 To: robotics-worldwide at usc.edu Job description Interested in Neuromorphic Engineering and applications to Robotics and Brain inspired applications? Applications are opened for a 2 year Postdoc position. Join the birth place of Event Vision at the Vision Institute, Paris, France, (http://www.institut-vision.org/en/). We are looking for a passionate and curious post-doc in the fields of Event vision and machine learning based on spiking neural networks for applications to fast navigating drones. Requirements & eligibility criteria An understanding and possibly experience in neuromorphic engineering and related domains are required. Strong programming skills (C/C++) are mandatory. Experience with embedded robotics is also greatly desirable although not mandatory. Working environment The Vision Institute is one of the top international centers for integrated research on Neuromorphic Computation. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology of the Quinze-Vingts. The Vision Institute includes multidisciplinary research laboratories. It is the home of several leading startups of the Neuromorphic engineering world such as Prophesee, Pixium Vision and many others. How to apply Applicants should apply by sending a CV to Profs sio-hoi.ieng at upmc.fr and benosman at upmc.fr. Do not hesitate to contact us for further inquiries. -- Laurent Perrinet - INT (UMR 7289)/CNRS https://laurentperrinet.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Mar 29 14:58:15 2021 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Mon, 29 Mar 2021 18:58:15 +0000 Subject: Connectionists: NEURAL NETWORKS, April 2021 Message-ID: Neural Networks - Volume 136, April 2021 https://www.journals.elsevier.com/neural-networks An enhanced approach to the robust discriminant analysis and class sparsity based embedding A. Khoder, F. Dornaika Multi-scale Attention Convolutional Neural Network for time series classification Wei Chen, Ke Shi A bioinspired angular velocity decoding neural network model for visually guided flights Huatian Wang, Qinbing Fu, Hongxin Wang, Paul Baxter, ... Shigang Yue Chaos may enhance expressivity in cerebellar granular layer Keita Tokuda, Naoya Fujiwara, Akihito Sudo, Yuichi Katori mu-law SGAN for generating spectra with more details in speech enhancement Hongfeng Li, Yanyan Xu, Dengfeng Ke, Kaile Su Smooth dendrite morphological neurons Wilfrido Gomez-Flores, Humberto Sossa t-soft update of target network for deep reinforcement learning Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo Stacked DeBERT: All attention in incomplete data for text classification Gwenaelle Cunha Sergio, Minho Lee Steganographer detection via a similarity accumulation graph convolutional network Zhi Zhang, Mingjie Zheng, Sheng-hua Zhong, Yan Liu A neurodynamic optimization approach to supervised feature selection via fractional programming Yadi Wang, Xiaoping Li, Jun Wang Quantization Friendly MobileNet (QF-MobileNet) Architecture for Vision Based Applications on Embedded Platforms Uday Kulkarni, Meena S.M., Sunil V. Gurlahosur, Gopal Bhogar Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network Kaishuo Zhang, Neethu Robinson, Seong-Whan Lee, Cuntai Guan Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang A Dual-Dimer method for training physics-constrained neural networks with minimax architecture Dehao Liu, Yan Wang Creating and concentrating quantum resource states in noisy environments using a quantum neural network Tanjung Krisnanda, Sanjib Ghosh, Tomasz Paterek, Timothy C.H. Liew How to teach neural networks to mesh: Application on 2-D simplicial contours Alexis Papagiannopoulos, Pascal Clausen, Fran?ois Avellan Image manipulation with natural language using Two-sided Attentive Conditional Generative Adversarial Network Dawei Zhu, Aditya Mogadala, Dietrich Klakow Low Rank Regularization: A review Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li Robust facial landmark detection by cross-order cross-semantic deep network Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, ... Xianxu Hou -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.micheli at unipi.it Mon Mar 29 10:34:41 2021 From: alessio.micheli at unipi.it (Alessio Micheli) Date: Mon, 29 Mar 2021 14:34:41 +0000 Subject: Connectionists: [CfP] IEEE TNNLS Special Issue on "Deep Neural Networks for Graphs" In-Reply-To: <5e8d0e4e64164569a1f5a958496ac9eb@unipi.it> References: <5e8d0e4e64164569a1f5a958496ac9eb@unipi.it> Message-ID: [reminder] IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Issue on "Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications" Submission Deadline: July 31, 2021. More info: CFP: https://cis.ieee.org/images/files/Documents/call-for-papers/tnnls/CFP_SS_DNNGTMAA.pdf TNNLS: https://cis.ieee.org/publications/t-neural-networks-and-learning-systems Guest Editors: Ming Li, Zhejiang Normal University, China; Alessio Micheli, University of Pisa, Italy; Yu Guang Wang, Max Planck Institute for Mathematics in the Sciences, Germany; Shirui Pan, Monash University, Australia; Pietro Li?, University of Cambridge, UK; Giorgio Stefano Gnecco, IMT School for Advanced Studies, AXES Research Unit, Italy; Marcello Sanguineti, University of Genoa, Italy. --- Kind regards, Prof. Alessio Micheli (CIML, University of Pisa) -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Tue Mar 30 00:39:51 2021 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Tue, 30 Mar 2021 01:39:51 -0300 Subject: Connectionists: ACM IUI 2021: Call for participation Message-ID: *** ACM IUI 2021: Call for Participation *** * Virtually hosted by Texas A&M University * April 13-17, 2021 * http://iui.acm.org/2021/ * Contact: registration2021 at iui.acm.org ## Registration deadline April 9, 2021 ## Registration link https://iui.acm.org/2021/registration.html ## ACM IUI 2021 ACM IUI 2021 is the 26th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is on improving the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. From erishabh at gmail.com Tue Mar 30 06:16:20 2021 From: erishabh at gmail.com (Rishabh Mehrotra) Date: Tue, 30 Mar 2021 15:46:20 +0530 Subject: Connectionists: SIGIR Call for Industry Track speaker proposals (SIRIP 2021) Message-ID: Digital version of the call: https://sigir.org/sigir2021/call-for-sirip-2021-industry-track/ tl;dr: 2 page speaker proposals, due April 9 AOE The SIGIR Symposium on IR in Practice (SIRIP), formally known as the SIGIR Industry Track, provides an opportunity for researchers, engineers, practitioners, analysts and consumers to meet and discuss the latest related IR technologies as deployed in companies, big and small, and to achieve knowledge transfer across the boundary between academia and industry. SIRIP 2021 will be held as part of ACM SIGIR 2021 which will take place on July 11-15, 2021. *Important Dates* - Time zone: Anywhere on Earth (AoE) - Talk proposal due: Fri, Apr 9, 2021 23:59 AOE - Notifications : Wed, Apr 28, 2021 - Camera ready due date: Wed, May 5, 2021 Submissions must contain author details and should be submitted electronically via EasyChair: https://easychair.org/conferences?conf=sigir2021 *Submission Guidelines* We solicit position papers & speaker proposals for SIRIP talks around the following categories: - Innovative approaches used in deployed systems and products. We also encourage presentations from small companies, especially startups or spin-offs from either a university project or a large company. Papers discussing domain specific challenges are also welcome. - Position papers on the current and future state of IR in practice, and the role IR could play in shaping the next generation of information access systems. For example: - Building information retrieval systems with an emphasis on trust and safety: - Combating misinformation spread - Building privacy preserving retrieval systems - Algorithmic responsibility & fairness - Role of information retrieval in remote & virtual setting - Role of search & IR in creator economy (e.g. short video platforms, audio platforms) & marketplaces (e.g. delivery services, hospitality industry, crowdfunding platforms, retail platforms, rentals) - System design case-studies from industry practitioners, identifying best practices and design principles for learning systems, scalability aspects - Metrics and measurement techniques used at scale to understand performance of industrial systems - Presentations creating a connection with academia to solve interesting problems, including presentations from academics spending time in industry, or vice-versa, covering insights for other practitioners The presentation format of the Symposium will be decided based on submissions and interest to the wider community, and is likely to be a mix of short and long presentations as well as panels. Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ?sigconf? proceedings template). Please include: - title, abstract, main contributions, and relevancy to SIRIP 2021 themes - a brief company portrait (for startup presentations) - a short CV of the presenter(s) A condition of acceptance is that at least one author commits to attend SIRIP 2021 to present the work. The authors of accepted proposals will be invited to submit a 2-pages camera ready paper. - Hema Raghavan & Rishabh Mehrotra SIRIP 2021 co-chairs -- Rishabh Mehrotra Staff Research Scientist Spotify, London Web: www.rishabhmehrotra.com Twitter: https://twitter.com/erishabh -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Mar 30 11:16:47 2021 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 30 Mar 2021 08:16:47 -0700 Subject: Connectionists: NEURAL COMPUTATION - April 1, 2021 In-Reply-To: Message-ID: Neural Computation - Volume 33, Number 4 - April 1, 2021 Available online for download now: http://www.mitpressjournals.org/toc/neco/33/4 http://cognet.mit.edu/content/neural-computation ----- Note The Effect of Class Imbalance on Precision-Recall Curves Christopher Williams Letters How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning Ethan Harris, Daniela Mihai, and Jonathon Hare The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks Friedemann Zenke, Tim P Vogels Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons Justin Domhof, Paul H.E. Tiesinga Closed-Loop Neurofeedback With Real-Time EEG Decoding of Attentional States Greta Tuckute, Sofie Therese Hansen, Troels Wesenberg Kjaer, and Lars Kai Hansen Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth Zuowei Shen, Haizhao Yang, and Shijun Zhang A Generalization of Spatial Monte Carlo Integration Muneki Yasuda, Kei Uchizawa Low-dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks Arnaud Fanthomme, Remi Monasson Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network Junhao Huang, Weize Sun, and Lei Huang ----- 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 kc.w at cityu.edu.hk Wed Mar 31 00:14:29 2021 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Wed, 31 Mar 2021 04:14:29 +0000 Subject: Connectionists: CFP: 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021) Message-ID: CFP: 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021) The 2021 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021) will be held in Cairo, Egypt during November 21-22, 2021. The main objective of ISCMI 2021 is to present the latest research and results of scientists related to Soft Computing & Machine Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields. ISCMI 2021 is organized by India International Congress on Computational Intelligence(IICCI), and technically sponsored by the IEEE Africa Council and and IEEE Computational Intelligence Society (Egypt Chapter). All submissions will be peer reviewed, and all accepted papers will be published in ISCMI 2021 conference proceedings which are expected to be included in IEEE Xplore and indexed by EI Compendex, Scopus, etc. A special issue of "Neural Computing & Applications", a Springer Publication [SCIE indexed, 2019 lmpact Factor : 4.774, 5 Year Impact Factor : 4.627; ISSN: 0941-0643 (print version) ISSN: 1433-3058 (electronic version)], will publish a selected set of extended versions of ISCMI21 papers (to be shortlisted after the conference), after the usual reviewing of those papers. (ISCMI 2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 & ISCMI2019 have been included in the IEEE Xplore?) Papers of ISCMI2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 & ISCMI2019 have all been indexed by Ei Compendex and Scopus! Topics of interest for submission include, but are not limited to: Advanced Intelligent Systems Ant Colony Optimization and Swarm Intelligence Artificial Immune Systems Artificial Intelligence Artificial Life Associative Memory Automatic Annotation Bioinformatics and Biological Computing Case-Based and Temporal Reasoning Cognitive Science Computational Intelligence Computational Intelligence in Bioinformatics and Computational Biology Computer Vision Systems Connectionism Data Fusion Data Mining and Data Fusion Data Mining and Knowledge Discovery Decision Support Systems Distributed Artificial Intelligence DNA Computing Emotional Intelligence Evaluation and Refinement of Intelligent Systems Evolutionary Computation Evolutionary Optimization Evolutionary Strategies Feature Extraction Firefly Algorithm Fuzziness in Chaotic Systems Fuzziness in Multi-Agent Systems Fuzzy Aggregation Techniques Fuzzy Control Fuzzy Decision Making Fuzzy Inference Fuzzy Logic and Systems Fuzzy Mathematics Fuzzy Optimisation Fuzzy Reconfigurable Systems Fuzzy Systems and Hardware Genetic Algorithms Human-machine Interaction Intelligent Classification Intelligent Control Intelligent Distributed Sensor Networks Intelligent Hybrid Systems Intelligent Image Processing Intelligent Information Retrieval Intelligent Information Systems Intelligent Measurement Intelligent Signal Processing Intelligent Systems Intelligent Tutoring Systems Interval Computation Knowledge Discovery Knowledge Representation Learning and Memory Logical and Probabilistic Inference Machine Learning Mechatronics Modeling the Real World through Contexts Multi-Agent Systems Multimedia Mining Natural Language Processing Neural Networks Neuro-fuzzy Systems Ontology-based Intelligent Systems Particle Swarm Optimization Pattern Recognition Probabilistic Reasoning Reinforcement Learning Robotic Technologies Rough Sets Spatio-Temporal Reasoning Statistical and Structural Pattern Recognition Support Vector Machines Swarm Intelligence Syntactic and Semantic Processing Uncertain Reasoning Web Mining Submission Methods 1.Full Paper (Presentation and Publication) Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceeding. 2.Abstract (Presentation only) Accepted abstract will be invited to give the oral presentation at the conference, the presentation will not be published. Please log in the Electronic Submission System; ( .pdf only) to submit your full paper and abstract. http://iscmi.us/index.html http://iscmi.us/submission.html For any inquiry about the conference, please feel free to contact us at: s... at iscmi.us. Page Requirements Each paper should have no less than 4 pages normally, including all figures, tables, and references. One regular registration is within FIVE Pages. Extra pages will be charged. Submission Requests All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated. If an author is found to commit an act of plagiarism, the following acts of sanction will be taken: 1. Reject the article submitted or delete the article from the final publications. 2. Report the authors violation to his/her supervisor(s) and affiliated institution(s) 3. Report the authors violation to the appropriate overseeing office of academic ethics and research funding agency. 4. Reserve the right to publish the authors name(s), the title of the article, the name(s) of the affiliated institution and the details of misconduct, etc. of the plagiarist?. Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong BEng, MPhil (CUHK), PhD (Toronto) Department of Computer Science City University of Hong Kong kc.w at cityu.edu.hk Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Wed Mar 31 03:01:15 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Wed, 31 Mar 2021 09:01:15 +0200 Subject: Connectionists: [Call-for-Papers] (Abstract deadline approaching!) ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems In-Reply-To: References: Message-ID: <989aedab-2e57-211a-e39f-8048b9b6d0b7@acsos.org> *************************************************** ********** ACSOS 2021 - Call For Papers *********** *************************************************** *? 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????????????????? * *???????????????????????????????????????????????? * *************************************************** *************************************************** ***************************************************** ***************** Important Dates ******************* ***************************************************** ? - Main-Track Abstract submission deadline: *April 16th, 2021* ? - Main-Track Paper submission deadline: *April 23th, 2021* ? - Notification to authors: *June 25th, 2021* ? - Camera ready: *August 13th, 2021* ? - ACSOS Conference: *September 27th -- October 1st, 2021* All times in Anywhere on Earth (AoE) timezone. ***************************************************** ***************** Summary of Calls ****************** ***************************************************** - Accelerating Convergence Between Academia and Industry (ACAI) ? Call for Abstracts / Profile submission deadline: June 25th, 2021 - Doctoral Symposium ? Submission deadline: June 26th, 2021 - Call for Tutorials ? Tutorial proposal deadline: July 2nd, 2021 - Call for Posters and Demos ? Poster / Demo submission deadline: July 9th, 2021 **************************************************** **************** Goals and Mission ***************** **************************************************** The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). Emerging large-scale systems (including data centers, cloud computing, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments) are becoming increasingly complex, heterogeneous, and difficult to manage. The challenges of designing, controlling, managing, monitoring, and evolving such complex systems in a principled way led the scientific community to look for inspiration in diverse fields, such as biology, biochemistry, physics, complex systems, control theory, artificial intelligence, and sociology. To address these challenges novel modeling and engineering techniques are needed that help to understand how local behavior and global behavior relate to each other. Such models and practices are a key condition for understanding, controlling, and designing the emergent behavior in autonomic and self-adaptive systems. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, vision papers, posters, demos, and a doctoral symposium. ***************************************************** ********************** Scope************************* ***************************************************** We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: ?* /Autonomic and Self-* system properties/: robustness; resilience; efficient resource management; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness; ?* /Autonomic and Self-* systems theory/: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; languages and formal methods; queuing and control theory; requirement and goal expression techniques; uncertainty as a first class entity; ?* /Autonomic and Self-* systems engineering/: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middlewares; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems; ?* /Autonomic and Self-* systems practice/: case studies from industry, experimental setups and data sets, experience reports with established autonomic and self-* software; ?* /Data-driven management/: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness; ?* /Mechanisms and principles for self-organisation and self-adaptation/: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized system; ?* /Socio-technical self-* systems/: human and social factors; visualization; crowdsourcing and collective awareness; ?* /Autonomic and self-* concepts applied to hardware systems/: self-* materials; self-construction; reconfigurable hardware, self-* properties for quantum computing; ?* /Convergence of artificial intelligence, cloud, and Internet of Things/: moving artificial intelligence to the edge, collective decision processes, in-network learning, distributed reinforcement learning; ?* /Self-adaptive cybersecurity/: intrusion detection, malware attribution, zero-trust networks and blockchain-based approaches, privacy in self-* systems; ?* /Cross disciplinary research/: approaches that draw inspiration from complex systems, artificial intelligence, physics, chemistry, psychology, sociology, biology, and ethology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including (but not limited to): ?* smart environments: -grids, -cities, -homes, and -manufacturing; ?* Internet of things and cyber-physical systems; ?* robotics, autonomous vehicles, and traffic management; ?* cloud (including serverless), fog, edge computing and data centers; ?* hypervisors, containerization services, orchestration, operating systems, and middleware; ?* biological and bio-inspired systems. Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium. **************************************************** ************* Submission Instructions ************** **************************************************** *Research papers* (/up to 10 pages including images, tables, and references/) should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. *Experience Reports* (/up to 10 pages including images, tables, and references/) cover innovative implementations, novel applications, interesting performance results and experience in applying recent research advance to practical situations on any topics of interest. *Vision Papers* (/up to 6 pages including images, tables, and references/) introduce ground-shaking, provocative, and even controversial ideas; discuss long term perspectives and challenges; focus on overlooked or underrepresented areas, and foster debate. All submissions must indicate a primary and (optionally) a secondary topic area from the following list: ?* /RM/: Resource Manargement in Data Centers and Cloud Computing ?* /CPS/: Cyber-Physical Systems (CPS) and Internet of Things (IoT) ?* /SOSA/: Theory and Practice of Self-Organization, Self-Adaptation, and Organic Computing ?* /ENG/: Software and Systems Engineering for Autonomic and Self-Organizing Systems ?* /SYS/: Systems theory for Autonomic and Self-Organizing Systems ?* /DATA/: Data-Driven Approaches to Autonomic and Self-Organizing Systems Analysis and Management ?* /NEW/: Emerging Computing Paradigms ?* /SOC/: Socio-technical Autonomic and Self-Organizing Systems ?* /LANG/: Languages and Formal Methods for Autonomic and Self-Organizing Systems ?* /COG/: Self-Aware, Reflective, and Cognitive Computing ?* /APP/: Application Areas for Autonomic and Self-Organizing Systems such as Autonomous Vehicles, Smart Cities, Swarms, etc. ?* /REL/: Assurances, security, resilience, and reliability of Autonomic and Self-Organizing Systems ?* /CROSS/: Cross-disciplinary research on e.g., complex systems, control theory, artificial intelligence, chemistry, psychology, sociology, and biology All submissions are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide: . Papers are submitted electronically in PDF format through the ACSOS 2021 conference management system: . Research papers and experience reports will be included in the conference proceedings that will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. Vision papers will be part of a separate proceedings volume (the ACSOS Companion). As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would like to also highlight IEEE?s policies regarding plagiarism and self-plagiarism:. Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. **************************************************** ***************** Review Criteria ****************** **************************************************** */Research papers/* should highlight both theoretical and empirical contributions, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Moreover, research papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, and/or comparison to alternative approaches. */Experience reports/* should provide insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. */Vision Papers/* should introduce innovative, risky, visionary, and provocative ideas, spotlighting overlooked areas, raising controversial points, and exploring cross-disciplinary contaminations. /*All submissions*/ will be rigorously peer-reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality. We intend to continue the tradition of giving the best papers of the conference an opportunity to publish an extended version in a */special issue/* of ACM Transactions on Autonomous and Adaptive Systems (TAAS). The */Karsten Schwan Best Paper Award/* will be awarded to a selected paper. **************************************************** ******* (NEW!!)**Artifact Evaluation program ******* **************************************************** For the first time, ACSOS introduces an */artifact evaluation program/*. To improve reproducibility of results, /authors of accepted papers/ with a computational component are invited to submit their code and/or their data to an */optional/* artifact evaluation process. A dedicated committee will be in charge of reproducing the results presented in the accepted papers. */Participation in the program is OPTIONAL and does not impact the paper acceptance in any way/*. The best artifacts will be awarded the IEEE ACSOS Best Software Artifact Award. Artifacts that are successfully reproduced will be highlighted in the conference program, and they will feature in the corresponding camera ready paper a badge of reproducibility. For more information, please refer to the ACSOS 2021 call for artifacts. ****************************************************** ****************** Demos & Posters ******************* ****************************************************** Posters provide a forum for authors to present their work in an informal and interactive setting. They allow authors and interested participants to engage in discussions about their work. Demonstration should present an existing tool or research prototype. Authors are expected to perform a live demonstration on their own hardware during the poster and demonstration session. Contributions will be collected in */ACSOS Companion Proceedings/*, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 call for posters and demos. ****************************************************** *************** Workshops & Tutorials **************** ****************************************************** ACSOS workshops will provide a meeting place for presenting novel ideas in a less formal and possibly more focused way than the conferences themselves. Their aim is to stimulate and facilitate active exchange, interaction, and comparison of approaches, methods, and ideas. Contributions will be collected in */ACSOS Companion Proceedings/*, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 call for workshops and tutorials ****************************************************** ***************** Doctoral? Symposium **************** ****************************************************** 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. Contributions will be collected in /*ACSOS Companion Proceedings*/, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 Doctoral Symposium call for participation. ****************************************************** *** ACSOS in Practice: Accelerating Convergence??? *** ***???? between Academia & Industry (ACAI)???????? *** ****************************************************** ACAI at ACSOS features short vision talks and opportunities for researchers to brainstorm potential collaborations. We ask ALL ACAI attendees to submit information about their interests, qualifications and visions for ACAI. Contributions will be collected in /*ACSOS Companion Proceedings*/, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACAI at ACSOS2021 call for papers. From Eirini.Mavritsaki at bcu.ac.uk Wed Mar 31 06:10:19 2021 From: Eirini.Mavritsaki at bcu.ac.uk (Eirini Mavritsaki) Date: Wed, 31 Mar 2021 10:10:19 +0000 Subject: Connectionists: PhD in Computational Neuroscience Message-ID: Dear colleagues, Please find below a PhD opportunity in our lab. Best wishes, Eirini Title: An EEG and computational modelling investigation into cultural differences in visual perceptual learning Supervisory Team: Professor Eirini Mavritsaki, Dr Panagiotis Rentzelas, Professor Maxine Lintern, Professor Zoe Kourtzi (University of Cambridge), Stephanie Chua Visual perceptual learning (VPL) refers to the acquisition of visual skills through training which improves our ability to detect useful information in cluttered scenes. Individualism and independence in Western cultures have been associated with differential processing and attentional styles. This research will be based on understanding cross-cultural differences on VPL using EEG and computational modelling work. The ideal applicant should have a good first degree in Psychology/Computer Science. Previous experience in conducting neuropsychological experiments and/or computational modelling work will be highly desirable. Link: https://www.bcu.ac.uk/social-sciences/research/phd_opportunities Contact information: Prof. Eirini Mavritsaki Eirini.mavritsaki at bcu.ac.uk 0121 3316361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Prof. Eirini Mavritsaki, Ph.D., CPsychol , SFHEA Professor of Cognitive Psychology Director of Research and Enterprise for the School of Social Sciences Director of Postgraduate Research Studies for the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki at bcu.ac.uk 0121 331 6361 Please use the link below if you want to book a meeting with me https://calendly.com/eirini-mavritsaki ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Wed Mar 31 04:54:11 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Wed, 31 Mar 2021 08:54:11 +0000 Subject: Connectionists: UK Healthcare text analytics conference (HealTAC) 2021 - final call Message-ID: [apologies for cross-posting] **************************************** Healthcare Text Analytics Conference HealTAC 2021 June 16-18, 2021 http://healtex.org/healtac-2021/ **************************************** This is the final call for contributions to HealTAC 2021: we are inviting submissions for * PhD forum (up to 4 pages), * posters (1 page), * system/software demos (2 pages). The new extended deadline is April 16th (details are available here). HealTAC 2021 will be organised online. As in previous years, it will bring the academic, clinical, industrial and patient communities together to discuss the current state of the art in processing healthcare free text and share experience, results and challenges. We are pleased to confirm the keynotes: * Dr Aur?lie N?v?ol (Universit? Paris-Saclay, CNRS, LIMSI): ?Responsible bioNLP in the making: contributions from ethics, reproducibility and the state of NLP? * Prof Maria Liakata (Queen Mary University, the Alan Turing Institute): ?Opportunities, challenges and progress in longitudinal natural language processing for mental health?. There will be pre-conference training events organised on June 16th - more information to follow soon. Following the conference, there will be an open call for papers for in Frontiers in Digital Health. We are looking forward to welcoming you in June 2021! http://healtex.org/healtac-2021/ Follow the conference announcements at #HEALTAC2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Wed Mar 31 10:56:36 2021 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Wed, 31 Mar 2021 16:56:36 +0200 Subject: Connectionists: AISTATS 2021 Mentorship Sessions Message-ID: Dear all, (posting on behalf of the AISTATS 2021 organizing team) We are happy to announce that AISTATS 2021 (April 13-15) is hosting mentorship sessions during the conference dates and welcome your participation as a mentor or mentee. We are going to use a web system Mementor (https://mementor.net/), which supports mentors and mentees to have an online mentorship session. For the details of how it works, please check https://docs.google.com/document/d/1grcT1s118n1Mhbj3ezpUeIc5aFIZWjsZpll4NcgxTKs/edit?usp=sharing The mentorship sessions are scheduled in the following time slots (Pacific Daylight Time). Day 1. April 13 (Tue) 12:30-14:00 (other time zones) , Day 1. April 13 (Tue) 20:30-22:00 (time zones ), Day 2. April 14 (Wed) 04:00-06:00 (time zones) Day 2. April 14 (Wed)15:00-16:00 (time zones ) Day 2. April 14 (Wed)17:30-19:00 (time zones ) Day 3. April 15 (Thu) 04:00-06:00 (time zones ) Day 3. April 15 (Thu) 09:45-11:45 (time zones ) The latest version of the whole program can be found at https://docs.google.com/spreadsheets/d/1KTYjJ05Ief5vud-8n5rsyzd2qWwluVNxCpW6YO-jZD4/edit?usp=sharing AISTATS 20201 is a fully virtual conference and is welcoming registration now. Please visit https://aistats.org/aistats2021/ Features of AISTAST 2021: - Three invited talks, 48 oral presentations, and 455 accepted papers in the poster sessions. Invited speakers: - Professor Bin Yu (University of California, Berkeley) - Professor Emmanuel Cand?s (Stanford University) - Professor Kyle Cranmer (New York University) - Each accepted paper will have a pre-recorded talk and live poster session. In addition, oral presentations, including the invited talks, will have live Q&A. - Social events including mentoring sessions will be scheduled. - Interactions with other participants on Gather.town. Accepted Papers: https://aistats.org/aistats2021/accepted.html Please contact us at aistats2021pc at gmail.com if you have questions or comments. Thank you, The AISTATS 2021 organizing team -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Wed Mar 31 12:00:56 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 31 Mar 2021 16:00:56 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2021 -- deadline approaching In-Reply-To: References: , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2021 2021 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 6--9, 2021 Conference will be Virtual http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 09-April-2021 (Midnight EST) Author Notification: 03-May-2021 Camera-ready Submission (Regular Papers): 16-May-2021 Working/Late-breaking Paper: 23-May-2021 Doctoral Consortium: 23-May-2021 Tutorial, Demo Submission: 23-May-2021 Acceptance Notification: 14-June-2021 Challenge Submission: 23-May-2021 Challenge Notification: 14-June-2021 Final Video and PowerPoint Submission: 28-June-2021 Submit your paper here. Until the final paper deadline, you will be able to update your submission. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Only Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration prior to being considered for a plenary session (oral or poster). PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. Special Track on Human-Agent Teaming This year we are soliciting papers for a special workshop on human-agent teaming (or human-AI teaming) to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. Special Track on COVID-19 & Validation This year we are soliciting papers for a special workshop on the COVID-19 pandemic to be held during the conference. We are particularly interested in papers focused on validation studies of models and tools used for COVID-19 response efforts. Validation studies evaluate the influence of important threats to validity, such as missing data, measurement error, and confounding. Validation studies are particularly important for assessing the utility of models and tools outside of similar settings (e.g., application of models and tools to the next pandemic or global disaster). When submitting your paper in EasyChair please indicate whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interest include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling Agent-based modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process, recognition, and diffusion * Public opinion representation, identification and modeling Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes overtime * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military, Cyber, & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Wed Mar 31 12:36:18 2021 From: max.garagnani at gmail.com (Max Garagnani) Date: Wed, 31 Mar 2021 17:36:18 +0100 Subject: Connectionists: MSc in Computational Cognitive Neuroscience -- Video and online applications Message-ID: <93B3C874-AAF5-47FF-B6B8-306A441C1B3B@campus.goldsmiths.ac.uk> ********************************************************************************** The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE? at Goldsmiths, University of London (UK) ********************************************************************************** is now ACCEPTING APPLICATIONS for 2021-21 ENTRY. Note that places are limited and will be allocated on a first-come first-served basis. If you are considering this programme, we recommend applying now rather than later to avoid disappointment. This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. Here is a the recording of a short live presentation of this MSc programme: https://coconeuro.com/wp-content/uploads/2020/11/24.11.20-PGOpen.mp4 HOW TO APPLY ============= To submit a free-of-cost online application, simply click on the following link: https://bit.ly/2Fi86SB and follow the instructions. COURSE OUTLINE =============== This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in the biological / life (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, visit: https://coconeuro.com/ LINKS WITH INDUSTRY =================== The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Germany, Italy, and Japan. Carrying out your final project in collaboration with one of our industry partners or securing a placement with them after completion of your degree will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you very competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ Here is what our alumni have to say about this course: https://coconeuro.com/ For any other specific questions, please do not hesitate to get in touch. Kind regards, Max Garagnani -- Joint Programme Leader, MSc in Computational Cognitive Neuroscience Lecturer in Computer Science Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ ****************************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Wed Mar 31 12:59:46 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Wed, 31 Mar 2021 18:59:46 +0200 Subject: Connectionists: CIKM 2021 - Call for Workshop Proposals In-Reply-To: <3f390213-71b6-4f05-864e-e5f8decbdb06@Spark> References: <3f390213-71b6-4f05-864e-e5f8decbdb06@Spark> Message-ID: Apologies for cross postings. Call for Workshop Proposals https://www.cikm2021.org/cfp/workshops The ACM Conference on Information and Knowledge Management (CIKM) is the premier international conference on topics at the confluence of information retrieval, databases, and knowledge management. Running annually since 1992, CIKM attracts top talent from industry and academia, with the goal of fostering collaboration and bridging the academic-commercial gap in the database, information retrieval, and knowledge management communities. We look for prospective submissions of highly interactive full-/half-day workshops proposing novel research, deepening established research topics or presenting practical applications on the many aspects of the data lifecycle (data acquisition, preprocessing, modeling, integration/aggregation, storage, analysis and consumption). Interdisciplinary workshops bridging across different communities are also highly encouraged. Workshops will complement the main CIKM conference to be held online and hosted in Gold Coast, Queensland, Australia from November 1-5, 2021 Submission Guidelines Please use the?CIKM 2021 Workshop Proposal Template?for your submission. Send the proposal to?cikm2021-workshop at easychair.org?with subject ?CIKM2021 ? YOURACRONYM Workshop Proposal?. Workshop proposals are reviewed based on the quality of the proposal, their relation to the main CIKM topics, and the likelihood to attract enough participants as well as the hosting capacity of the conference. Proposal submission dates: ? April 21, 2021: Workshop proposal submission ? May 7, 2021: Proposal acceptance notification ? August 23, 2021: Camera ready of the proposal Exact workshop paper submission and author notification due dates are at the discretion of workshop organizers; a recommended timeline is indicated below. Suggested dates for paper submissions to the workshop: ? July 15, 2021: Paper submission ? August 15, 2021: Paper acceptance notification ? Workshop dates will be flexible By default, workshop papers will be included in a CIKM companion volume published by?http://ceur-ws.org/. To help preserve the authors? ability to submit a revised version of their paper to a conference or journal, joining the volume is left at the discretion of the organizers. Should you decide to go for the companion volume, we might request to align your deadlines to the other interested workshops. For further information, contact the?CIKM2021 Workshop Chairs?Gao Cong and Maya Ramanath at?cikm2021-workshop at easychair.org Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From andrea.brovelli at univ-amu.fr Wed Mar 31 12:56:31 2021 From: andrea.brovelli at univ-amu.fr (Andrea Brovelli) Date: Wed, 31 Mar 2021 18:56:31 +0200 Subject: Connectionists: 15 PhD positions in Neuroscience, Engineering and Information Technology Message-ID: <7e34e08d-b287-034f-79b9-2acdb9b8d7f8@univ-amu.fr> Dear all, In2PrimateBrains (H2020 MSCA Innovative Training Network) proposes a highly competitive training-through-research programme dedicated to the study of neuronal intra and inter-areal communication in non-human primate (NHP) brains. Our Training Network consists of fifteen individual scientific projects, with extensive collaborations between consortium institutions. We are currently recruting PhD candidates for each project. Web site for additional job details: http://In2PrimateBrains.eu The full list of PhD projects is available here: http://phdprojects.in2primatebrains.eu APPLICATIONS MUST BE SUBMITTED THROUGH OUR WEBSITE: http://phdopportunites.in2primatebrains.eu APPLICATION DEADLINE:*30/04/2021*, 23:00 ? Europe/Brussels Best regards, Andrea -------------- next part -------------- An HTML attachment was scrubbed... URL: