From sanjay.ankur at gmail.com Fri Apr 1 02:53:38 2022 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Fri, 1 Apr 2022 07:53:38 +0100 Subject: Connectionists: INCF/OCNS Software WG session on NetPyNE (4th April: 1600 UTC) Message-ID: <20220401065338.dw5xxx4mhrzlg45d@thor> Dear all, Apologies for the cross post. Please join us for the next INCF/OCNS Software working group "dev session" where Joe Graham will speak to us about NetPyNE: https://ocns.github.io/SoftwareWG/2022/04/04/dev-session-joe-graham-netpyne.html - Date: April 4, 2022, 1600 UTC (Click here[1] to see your local time). - Location (Zoom): (login to Zoom required): https://ucl.zoom.us/j/99620419452?pwd=SkZlQnJmWWZVczNURkp2azVOZkhzUT09 Abstract: NetPyNE is an open-source Python package to facilitate the development, parallel simulation, analysis, and optimization of biological neuronal networks using the NEURON simulator. The NetPyNE GUI is available from a variety of resources: Neuroscience Gateway Portal (NSG); Open Source Brain (OSB) ; Human Brain Project (HBP) EBRAINS; and the NIH SPARC initiative. The NetPyNE source code is available on GitHub. More information is available on the NetPyNE website. During this dev session, I will give an overview of NetPyNE, go through an interactive demo using the NetPyNE GUI, describe my personal development workflow using virtual environments, and then go through two big dev projects I worked on: (1) documenting code inline and online using docstrings, Sphinx, Napoleon, and autodocsumm, and (2) separating and standardizing analysis and plotting. --------- The aim of these sessions is to stimulate discussion of the development practices and tools used by different teams to improve the software we use while also improving our knowledge of these practices and tools. We also hope to encourage more users of these tools to contribute to their development to ensure their longevity. If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG on our GitHub repository[3]. The WG is a community based group that is open to everyone at all levels of their careers (academic or otherwise). Please introduce yourself to the community on our channels to get involved. [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Dev+session%3A+Joe+Graham%3A+NetPyNE&iso=20220404T16&p1=1440 [2] https://github.com/OCNS/SoftwareWG/issues -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London From jose at rubic.rutgers.edu Fri Apr 1 07:04:21 2022 From: jose at rubic.rutgers.edu (=?UTF-8?Q?Stephen_Jos=c3=a9_Hanson?=) Date: Fri, 1 Apr 2022 07:04:21 -0400 Subject: Connectionists: AIHUB: Stephen Hanson in Conversation with Yoshua Bengio Message-ID: What is AI? Stephen Hanson in conversation with Yoshua Bengio In this episode, Stephen Hanson talks to Yoshua Bengio about deep learning 2.0, consciousness, neural networks, representations, explanations, causality, and more. https://aihub.org/2022/03/30/what-is-ai-stephen-hanson-in-conversation-with-yoshua-bengio/ -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.png Type: image/png Size: 34455 bytes Desc: not available URL: From me at hbrouwer.eu Fri Apr 1 09:40:23 2022 From: me at hbrouwer.eu (Harm Brouwer) Date: Fri, 1 Apr 2022 15:40:23 +0200 Subject: Connectionists: Mesh: a lightweight and versatile connectionist/PDP simulator Message-ID: Dear connectionists, To those interested in traditional connectionist/PDP simulators (in the tradition of Tlearn, Lens, and so forth): I have just released Mesh, a lightweight and versatile artificial neural network simulator, primarily designed as a general-purpose backpropagation simulator with flexibility and extensibility in mind. Mesh is available here: https://github.com/hbrouwer/mesh And a set of example networks, including some classic connectionist results (English past tense, reading aloud), can be found here: https://github.com/hbrouwer/mesh-examples Best, Harm -- [ Dr. Harm Brouwer [ Department of Language Science and Technology [ Saarland University, Building C7.1, Room 1.20 [ 66123, Saarbr?cken, Germany [ Phone: +49 681 302 6554 [ E-mail: me at hbrouwer.eu [ http://www.hbrouwer.eu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Fri Apr 1 17:05:16 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 1 Apr 2022 23:05:16 +0200 Subject: Connectionists: =?utf-8?q?CFP=3A_1st_Workshop_on_Actors=2C_Agents?= =?utf-8?b?LCBBc3Npc3RhbnRzLCBBdmF0YXJzICg0QScyMik7IChGZWRDU0lTJzIyOyBJ?= =?utf-8?q?EEE_=2354150=3B_CORE_rank_B=3B_70_punkt=C3=B3w_MEiN=3B_HYBRID_e?= =?utf-8?q?vent=29?= In-Reply-To: References: Message-ID: <785027f2-d392-1f5b-f863-a5d73a52876f@amu.edu.pl> CALL FOR PAPERS ************************************************************* 1st Workshop on Actors, Agents, Assistants, Avatars (4A'22) https://www.fedcsis.org/2022/4a Organized within the scope of 2022 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'22; IEEE #54150; CORE rank B; 70 punkt?w MEiN; HYBRID event) ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE The field of, broadly understood, agent technology is undergoing rapid changes. What was once envisioned, primarily, in research papers becomes reality. Over last few years we observe proliferation of personal assistants and avatars (sometimes considered under a joint umbrella of ChatBots). For instance, consider Siri, Cortana, Amazon Echo, or Google Assistant (to name the most popular). They can help in different activities, but a lot of work remains before they reach full potential. Furthermore, actors start to materialize in real-world applications ? as a promising approach to implement large-scale distributed systems. It is also worthy noticing that avatars, humans and smart things can cooperate as a community that instantiates, contributes to and exploits various aspects of collective intelligence. Here, observe that agents can play very relevant role in the context of implementing, for example, intelligence of smart devices, which interact with each other and with humans, by common communication channels and, possibly even, social networks. At the same time, software tools that can be used to realize 4A systems have reached maturity and are surrounded by active user communities. Topics: To recognize the current trends we have decided to develop a new workshop that will cover all aspects concerning the 4A?s. Therefore, we welcome submissions of original papers concerning the following topics (the list is not exhaustive and deliberately provided on a meta-level): * Actors, as an approach to design and (efficiently) implement distributed systems * Current perspectives on software agents and multi-agent systems * Design and implementation of assistants * ChatBot design, implementation and use ? Avatars for today and tomorrow * Theoretical foundations of 4A-based systems ? 4A-based simulations (with application to real-world use cases, in particular) * Case studies, applications and experiences with 4A?s (in real-world, in particular) Demo Session: A special session devoted to demonstration of working prototypes is planned. Special recognition for the best demo will be given. PAPER SUBMISSION: ? Authors should submit draft papers (as Postscript, PDF or MSWord file). ? The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. ? Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. ? Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. ? Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. ? Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar ? Organizers reserve right to move accepted papers between FedCSIS technical sessions. ? Extended versions of selected papers presented during the conference will be invited to the Special Issue of: ** Scalable Computing; Practice and Experience ** Multiagent and Grid Systems ZDZISLAW PAWLAK BEST PAPER AWARD: The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award IMPORTANT DATES: + Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 Please forward this announcement to your colleagues and associates who could be interested in it. PROGRAM COMMITTEE: Agotnes, Thomas, University of Bergen, Norway Ambroszkiewicz, Stanislaw, Institute of Computer Science, Polish Academy of Sciences, Poland Barseghyan, Artak, Yerevan, Armenia Braubach, Lars, University of Hamburg, Germany Budimac, Zoran, Faculty of Sciences, Univ. of Novi Sad, Serbia Byrski, Aleksander, AGH University of Science and Technology, Poland Cabri, Giacomo, University of Modena and Reggio Emilia, Italy Florea, Adina, University POLITEHNICA of Bucharest, Romania Jedrzejowicz, Piotr, Gdynia Maritime University, Poland Jezic, Gordan, University of Zagreb, Croatia Kaleta, Mariusz, Warsaw University of Technology, Poland Kruczkiewicz, Zofia, Wroc?aw University of Technology, Poland Kusek, Mario, University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia Leszczyna, Rafal, Gdansk University of Technology, Poland Letia, Ioan Alfred, Technical University of Cluj-Napoca, Romania Montangero , Manuela Morge, Maxime, Universit? de Lille, France Negru, Viorel, West University of Timisoara, Romania Neruda, Roman, Institute of Computer Science, Academy of Sciences of the Czech Republic, Czech Republic Ngoc-Thanh, Nguyen, Wroclaw University of Science and Technology, Poland Niazi, Muaz, COSMOSE Research Group, COMSATS Institute of IT, Pakistan Oliveira, Eugenio, Faculty of Engineering, University of Porto, Portugal Omicini, Andrea, Alma Mater Studiorum?Universita di Bologna, Italy Oren, Nir, University of Aberdeen, United Kingdom Ouedraogo, Moussa, Public Research Centre Henri Tudor, Luxembourg Paik, Incheon, University of Aizu, Japan Poggi, Agostino, DII - University of Parma, Italy Pokahr, Alexander, Helmut-Schmidt-Universit?t/Universit?t der Bundeswehr Hamburg, Germany Rahimi, Shahram, Southern Illinois University, United States Rimassa, Giovanni, Whitestein Technologies AG, Switzerland Rykowski, Jarogniew, Poznan University of Economics, Poland Sakellariou, Ilias, University of Macedonia, Greece Santoro, Corrado, University of Catania, Italy Schaefer, Robert, AGH University of Science and Technology, Poland Senatore, Sabrina, DIEM University of Salerno, Italy Tang, Yuqing, Carnegie Mellon University, United States Thimm, Matthias, University of Koblenz-Landau, Germany Venticinque, Salvatore, University of Campania "Luigi Vanvitelli", Italy Vouros, George, University of Piraeus, Greece Wahjudi, Paulus, Marshall Unviersity, United States Event Chairs: Badica, Costin, University of Craiova, Romania Ganzha, Maria, Warsaw University of Technology, Poland Ivanovi?, Mirjana, University of Novi Sad, Serbia Paprzycki, Marcin, Systems Research Institute Polish Academy of Sciences, Poland Unland, Rainer, Universit?t Duisburg-Essen, Germany Contact: 4a2022 at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From arthur.vancamp at bristol.ac.uk Fri Apr 1 11:13:10 2022 From: arthur.vancamp at bristol.ac.uk (Arthur Van Camp) Date: Fri, 1 Apr 2022 15:13:10 +0000 Subject: Connectionists: REMINDER: Tenth SIPTA School on Imprecise Probabilities (15-19 August 2022, University of Bristol) Message-ID: <1d5e52e9-c4b3-4e16-9467-8d3187184e35@Spark> Tenth SIPTA School on Imprecise Probabilities https://ep-imp.gitlab.io/sipta-summer-school-2022/ Tenth SIPTA School The tenth SIPTA School will take place in Bristol, UK, from 15 to 19 of August 2022. It will introduce the main theoretical aspects of imprecise probability models, decision making using such models, statistics in imprecise probability theory, the use and applications of imprecise probabilities in artificial intelligence, and evaluating imprecise forecasts. Leading experts in these topics will lecture on the main concepts and techniques associated with their area of expertise, in a friendly environment favouring interaction between participants. Tentative schedule: * Monday, 15 August, first session (1 hour): "Why imprecise probabilities? by Ben Levinstein * Monday, 15 August, second session (all day except first hour): ?Introduction to imprecise probabilities? by Gert de Cooman * Tuesday, 16 August (all day): ?Decision making? by Teddy Seidenfeld * Wednesday, 17 August (morning): ?Statistics and imprecise probabilities? by Thomas Augustin * Wednesday, 17 August (afternoon): excursion * Thursday, 18 August (all day): ?Imprecise probabilities in artificial intelligence? by Alessandro Antonucci, Cassio de Campos and Fabio Cozman * Friday, 19 August (all day): ?Accuracy for imprecise probabilities? by Jason Konek and Ben Levinstein Scholarship/Bursaries If you are a student who would like to attend but would find the cost to be a hardship, we would like to help. In addition to waiving the fee for registration, we may be able to defray travel expenses. When filling out the registration form, please take care to: (1) indicate that you are a student, and (2) check the box expressing interest in being considered. Participation and registration We have a limited number of seats remaining for in-person attendance (~25), but virtually unlimited virtual capacity. The fee for virtual registration will be ?25. We have two options for in-person attendance: Room and Board (?250) and Lunch Only (?25). * attending virtually: ?25 * attending in-person Room and Board: ?250 * attending in-person Lunch Only: ?25 To register, please fill out this registration form by 15 May 2022. You will need a small statement explaining your research interests (in text format) and a short CV (as a pdf or document file). Accommodation and meals For in-person participants, we have two registration options: Room and Board: the fee is ?250. This includes student accommodation at Goldney Hall for the nights of 14 ? 19 August (i.e., ending the morning of the 20th). Breakfast will be included (at Goldney Hall), and we will also cater lunch every day of the summer school. Lunch Only: the fee is ?25. This option includes the same daily catered lunches as the Room and Board option, but no accommodation or breakfast. Note on Accommodation at Goldney Hall: Not all of the available rooms have an en suite bathroom; some rooms will share a communal bathroom. If you need a private bathroom, please indicate this on the form and give a brief explanation of why. We will do our best to assign rooms to accommodate everyone who has a compelling need. Important dates The registration via this form closes 15 May 2022. The registration fee should be paid before 1 June 2022. We will send out payment instructions to registered participants in due course. We are looking forward to a great summer school! Kind regards, Jason Konek, chair Fabio Cozman, external advisor Kevin Blackwell Catrin Campbell-Moore Giacomo Molinari Richard Pettigrew Arthur Van Camp -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Fri Apr 1 15:00:18 2022 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Fri, 1 Apr 2022 19:00:18 +0000 Subject: Connectionists: 2 Post-doctoral positions under an ERC grant in object recognition (one in computational neuroscience and one in Neuroimaging and MVPA) Message-ID: Apologies for cross-posting. The Proaction Laboratory (Jorge Almeida?s Lab; proactionlab.fpce.uc.pt) at the University of Coimbra (www.uc.pt), Portugal is looking for 2 motivated and bright Post-Doctoral Researchers (one in fMRI and Cognitive Neuroscience and one in dimensionality reduction, SOMs and Computational Neuroscience) to work on a prestigious ERC Starting Grant project (ContentMAP; https://cordis.europa.eu/project/id/802553) on the neural organization of object knowledge. In this project we are exploring how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation. We strongly and particularly encourage applications from women, and from underrepresented groups in academia. General Requirements for the positions: 1. Candidates should have a PhD in Psychology, Cognitive Neuroscience, Computer Science, Computational Neuroscience or any other related field as long as their work relates to the specific profiles below. 2. They should already have their diplomas (so that we can start the process of recognition in Portugal, which is a necessary step for hiring). 3. The candidate should be a recent graduate ? the date in their PhD diploma should not be before January 2020. 4. Interest in object recognition and neural representation. 5. Very good English (oral and written) communicative skills are necessary. Specific requirements for each profile: Cognitive Neuroscience/fMRI: 1. Excellent understanding of and experience with fMRI and data analysis, and specifically with MVPA and Representational Similarity Analysis is required. 2. Strong programming skills (matlab, python, etc.) are also a requirement. Mapping/SOMs/Computational Neuroscience: 1. Excellent understanding of Machine Learning especially applied to fMRI 2. Command of computational approaches for mapping and dimensionality reduction especially applied to neuroimaging (e.g., SOM ? self-organizing maps). Salary and duration: The position will start as soon as possible and finish in January 2024. The position involves no formal teaching (unless the candidate wants to). It does involve, however, lab mentoring. The salary is extremely competitive ? between 2200 and 2400 euros per month (dependent on experience), tax free (annual 26400-28800 euros tax free). This value is on par with the average salaries at top American institutions, as well as London, Paris, etc. However, the cost of living in Portugal (and particularly in Coimbra) is much lower. According to Numbeo, 2400 euros would be equivalent to 4850 pounds in London/4800 euros in Paris/6615 USD in Boston/6210 USD in Los Angeles/ 8330 USD in New York. Working conditions: The researcher will work directly with Jorge Almeida in Coimbra. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended. We have access to 2 3T MRI scanner with a 32-channel coil, to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. How can I apply: Applicants are encouraged to apply as soon as possible as these positions will be closed as they are filled. Nevertheless, the deadline in May 15. The interested candidates should email Jorge Almeida for questions and applications. Please send an email (jorgealmeida at fpce.uc.pt) with the subject ?Post-doc position under ERC - ContentMAP? with: 1. The Curriculum Vitae with a list of publications, 2. 2 Reference letters 3. A motivation letter with a short description of your experience in the field and how you fulfill the requirements (fit with the position). -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Fri Apr 1 15:14:08 2022 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Fri, 1 Apr 2022 19:14:08 +0000 Subject: Connectionists: 3 Research Assistant positions under an ERC grant in object recognition Message-ID: Apologies for cross-posting. The Proaction Laboratory (Jorge Almeida?s Lab; proactionlab.fpce.uc.pt) at the University of Coimbra (www.uc.pt), Portugal is looking for 3 motivated and bright Research Assistants to work on a prestigious ERC Starting Grant project (ContentMAP; https://cordis.europa.eu/project/id/802553) on the neural organization of object knowledge. In this project we are exploring how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation. We strongly and particularly encourage applications from women, and from underrepresented groups in academia. General Requirements for the positions: 1. Candidates should have a BA and/or MA in Psychology, Cognitive Neuroscience, Computer Science, Computational Neuroscience or any other related field as long as their work relates to the specific profiles below. 2. They should already have their diplomas (so that we can start the process of recognition in Portugal, which is a necessary step for hiring). 3. Interest in object recognition and neural representation. 5. Very good English (oral and written) communicative skills are necessary. Specific requirements for the positions: 1. Understanding of and experience with fMRI and data analysis, and specifically with MVPA. 2. Strong programming skills (matlab, python, etc.) are a requirement. Salary and duration: The position will start as soon as possible and finish in January 2024. The salary is the standard for a PhD student in Portugal ? about 1100 per month tax free. Note that cost of living in Portugal (and particularly in Coimbra) is low compared to major European and American cities. Working conditions: The researcher will work directly with Jorge Almeida in Coimbra. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended. In fact, the expectation is that the applicants start a PhD one year after starting their positions. We have access to 2 3T MRI scanner with a 32-channel coil, to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. How can I apply: Applicants are encouraged to apply as soon as possible as these positions will be closed as they are filled. Nevertheless, the deadline in May 15. The interested candidates should email Jorge Almeida for questions and applications. Please send an email (jorgealmeida at fpce.uc.pt) with the subject ?Research assistant positions under ERC - ContentMAP? with: 1. The Curriculum Vitae with a list of publications, 2. 2 Reference letters 3. A motivation letter with a short description of your experience in the field and how you fulfill the requirements (fit with the position). -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Sat Apr 2 02:26:01 2022 From: ksharma.raj at gmail.com (Raj Sharma) Date: Sat, 2 Apr 2022 11:56:01 +0530 Subject: Connectionists: ACML 2022 -- First Call for Papers | OAMLS @ ACML Message-ID: **apologies if you have received multiple copies of this email* ---------------------------------------------------------------------- *ACML 2022* The 14th Asian Conference on Machine Learning Hyderabad, India December 14-16, 2022 https://www.acml-conf.org/2022/ ---------------------------------------------------------------------- *CALL FOR PAPERS* The 14th Asian Conference on Machine Learning (ACML 2022) will take place between December 14-16, 2022 at Hyderabad, India. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progress and achievements. While the main conference paper presentations will remain virtual to encourage widespread participation in current times, the conference will also have physical components to allow in-person interaction for those who can attend. The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning. We encourage submissions from all parts of the world, not only confined to the Asia-Pacific region. The conference runs two publication tracks: authors may submit either to the: 1. *conference track* (16-page limit with references), for which the proceedings will be published as a volume of Proceedings of Machine Learning Research Workshop and Conference Proceedings (PMLR), or 2. *journal track* (20-page limit with references) for which accepted papers will appear in a special issue of the Springer Machine Learning Journal (MLJ). Please refer to http://www.acml-conf.org/2022/ for more details. Instructions for submission and LaTeX templates will be available soon (at least one month before the first deadline). *IMPORTANT DATES * (subject to minor changes in case there are conflicts with timelines of other major ML conferences) Conference Track - 23 Jun 2022 Submission deadline - 11 Aug 2022 Reviews released to authors - 18 Aug 2022 Author rebuttal deadline - 08 Sep 2022 Acceptance notification - 29 Sep 2022 Camera-ready submission deadline Journal Track - 26 May 2022 Submission deadline - 07 Jul 2022 1st round review results (accept, minor revision, or reject) - 11 Aug 2022 Revised manuscript submission deadline (for minor revision papers) - 08 Sep 2022 Acceptance notification - 29 Sep 2022 Camera-ready submission deadline *TOPICS OF INTEREST include but are not limited to:* General machine learning - Active learning - Dimensionality reduction - Feature selection - Graphical models - Imitation Learning - Latent variable models - Learning for big data - Learning from noisy supervision - Learning in graphs - Multi-objective learning - Multiple instance learning - Multi-task learning - Online learning - Optimization - Reinforcement learning - Relational learning - Semi-supervised learning - Sparse learning - Structured output learning - Supervised learning - Transfer learning - Unsupervised learning - Other machine learning methodologies Deep learning - Attention mechanism and transformers - Deep learning theory - Generative models - Deep reinforcement learning - Architectures - Other topics in deep learning Probabilistic Methods - Bayesian machine learning - Graphical models - Variational inference - Gaussian processes - Monte Carlo methods Theory - Computational learning theory - Optimization (convex, non-convex) - Bandits - Game theory - Matrix/Tensor methods - Statistical learning theory - Other theories Datasets and Reproducibility - ML datasets and benchmarks - Implementations, libraries - Other topics in reproducible ML research - Trustworthy Machine Learning - Accountability/Explainability/Transparency - Causality - Fairness - Privacy - Robustness - Other topics in trustworthy ML Applications - Bioinformatics - Biomedical informatics - Collaborative filtering - Computer vision - COVID-19 related research - Healthcare - Human activity recognition - Information retrieval - Natural language processing - Social networks - Web search - Climate science - Social good - Other applications *OAMLS @ ACML*: Besides a program of tutorials and workshops, this year we will continue the Online Asian Machine Learning School (OAMLS) as part of ACML (dates to be finalized, likely to be around the ACML conference dates, held virtually). OAMLS aims to help prepare the next generation of machine learning researchers and practitioners by providing them with knowledge of machine learning fundamentals as well as state-of-the-art advances. It focuses on participants in the Asia-Pacific region; the virtual format, supported by ever-improving communication technologies, allows affordable participation from students and practitioners from a large part of the region, including those from under-represented areas, who may otherwise be unable to afford travel to a physical international school. -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 2 05:02:40 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 2 Apr 2022 11:02:40 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration April 17 Message-ID: <2008043494.896859.1648890160671@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: April 17, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wolfram Burgard (University of Freiburg), Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Daniele Bonacorsi (University of Bologna), [intermediate/advanced] Applied ML for High-Energy Physics Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Peng Cui (Tsinghua University), [introductory/advanced] Towards Out-Of-Distribution Generalization: Causality, Stability and Invariance S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning Artemis Hatzigeorgiou (University of Thessaly), [introductory] Machine Learning for Analysis of Biological Data Shirley Ho (Flatiron Institute), [intermediate] Structured Machine Learning for Simulations Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [introductory/intermediate] Deep Learning with Limited Data Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Maurizio Pierini (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by October 9, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From stolu at elektro.dtu.dk Sat Apr 2 11:42:11 2022 From: stolu at elektro.dtu.dk (Silvia Tolu) Date: Sat, 2 Apr 2022 15:42:11 +0000 Subject: Connectionists: PhD position in Bio-Inspired Learning Approaches for Anomaly Detection and Condition Monitoring with Aerial Robots In-Reply-To: References: <20210228171621.GG17340@curry>, Message-ID: <53532c5697714493a6075d2d75962f0a@elektro.dtu.dk> Dear all, OPEN PHD POSITION AT DTU ELECTRICAL AND PHOTONICS DEPARTMENT. 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 hongzhi.kuai at gmail.com Sun Apr 3 06:27:33 2022 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Sun, 3 Apr 2022 19:27:33 +0900 Subject: Connectionists: CfP: Brain Informatics 2022 (April 15, Submission Due, Final Extended) Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 15th International Conference on Brain Informatics (BI'22) July 15-17, 2022 A Hybrid Conference with both Online and Offline Modes Co-hosted by University of Padua & University of Queensland Padova, Italy (In-Person) & Queensland, Australia (Online) Homepage: wi-consortium.org/conferences/bi2022/ The key theme: Brain Science meets Artificial Intelligence Celebrating the University of Padua's 800 years birthday +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - April 15, 2022 (final extended): Paper ( Regular and Short ) submission deadline *** Confirmed Keynote Speakers *** - Professor Silvestro Micera Full Professor, Bertarelli Foundation Chair in Translational Neuroengineering EPFL, Switzerland - Professor Robert Legenstein Institute Head, Institute of Theoretical Computer Science Graz University of Technology, Austria - Professor Gustavo Deco Director of the Center of Brain and Cognition Pompeu Fabra University, Italy - Professor Themis Prodromakis Director of the Centre for Electronics Frontiers University of Southampton, UK The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 15th International Conference on Brain Informatics (BI'22) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'22 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing *** Paper Submission and Publications *** Paper Submission ( Regular and Short ): ----------------- Main Conference On-Line Paper Submission: https://wi-lab.com/cyberchair/2022/bi22/scripts/submit.php?subarea=B WS/SS On-line Paper Submission: https://wi-lab.com/cyberchair/2022/bi22/scripts/ws_submit.php?subarea=S ----------------- Full papers should be limited to (10 to 12 pages) for the regular papers and (6 to 9 pages) for the short papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines ). Additional pages will be charged. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Submission (Only for Workshops/Special Sessions): -------------------- Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: ---------------------- High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal ( https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Special Issues & Books: ----------------------- Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: --------------------- BI'22 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: ----------------------- A workshop/special session typically takes a half-day (or full-day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Publications: ------------- Accepted workshop and special session full papers will be published at the same BI proceedings at the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series, or a special issue at the Brain Informatics Journal. *** IMPORTANT DATES *** - April 15, 2022 (final extended): Paper (Regular and Short) submission deadline - May 13, 2022: Paper acceptance notification - May 20, 2022: Final paper submission deadline - June 3, 2022: Accepted paper and abstract registration deadline - July 15-17, 2022: Conference Organizing Committee ++++++++++++++++++++++ Advisory Board Chair: Ning Zhong (Maebashi Institute of Technology, Japan) * Maurizio Corbetta (Padua Neuroscience Center & University of Padova, Italy) * Tianzi Jiang (Institute of Automation, CAS, China) * Nikola Kasabov (Auckland University of Technology, New Zealand) * Peipeng Liang (CNU School of Psychology, China) * Hesheng Liu (Harvard Medical School & Massachusetts General Hospital, USA) * Guoming Luan (Sanbo Brain Hospital, China) * Stefano Panzeri (University Medical Center Hamburg-Eppendorf, Germany) * Hanchuan Peng (SEU-Allen Institute for Brain & Intelligence, China) * Shinsuke Shimojo (California Institute of Technology, USA) General Chairs * Mufti Mahmud (Nottingham Trent University, UK) * Stefano Vassanelli (University of Padova, Italy) * Andre van Zundert (University of Queensland, Australia) Program Chairs * Alessandra Bertoldo (University of Padova, Italy) * Gopikrishna Deshpande (Auburn University, USA) * Jing He (University of Queensland, Australia) Publication Chair * Can Wang (Griffith University, Australia) Workshop/Special Session/Tutorial Chairs * Alessia Sarica (Magna Graecia University, Italy) * Xiaohui Tao (University of Southern Queensland, Australia) * Alberto Testolin (University of Padova, Italy) * Vassiliy Tsytsarev (University of Maryland, USA) * Juan Velasquez (University of Chile, Chile) * Vicky Yamamoto (USC Keck School of Medicine, USA) * Yang Yang (BFU Department of Psychology, China) Local Organization Chairs * Michele Allegra (University of Padova, Italy) * Claudia Cecchetto (University of Padova, Italy) * Daniela Pietrobon (University of Padova, Italy) * Samir Suweis (University of Padova, Italy) * Mattia Tambaro (University of Padova, Italy) Publicity Chairs * Abzetdin Adamov (ADA University, Azerbaijan) * M Shamim Kaiser (Jahangirnagar University, Bangladesh) * Hongzhi Kuai (Maebashi Institute of Technology, Japan) * Francesco Morabito (Mediterranean University of Reggio Calabria, Italy) * Yanqing Zhang (Georgia State University, USA) Contact Us: http://wi-consortium.org/conferences/bi2022/contact.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmasulli at e-nns.org Sun Apr 3 08:03:59 2022 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Sun, 3 Apr 2022 14:03:59 +0200 Subject: Connectionists: Deadline extension - 31st International Conference on Artificial Neural Networks ICANN 2022, Sept 6-9, Bristol, UK Message-ID: 31st International Conference on Artificial Neural Networks ICANN 2022 https://e-nns.org/icann2022 *Submission deadline extended to: 13 April 2022* Bristol, United Kingdom - *Hybrid event* 6 - 9 September 2022 ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2022 the Department of Computer Science and Creative Technologies of the University of the West of England, in Bristol, United Kingdom will organise ICANN 2022. This will be held at Frenchay Campus from 6 to 9 September 2022. The conference is currently planned as a *hybrid event* with some presence and some online participation if possible. We will continuously monitor the situation in the next few months according to the overall health developments. * **CONFERENCE TOPICS* ICANN 2022 is a conference featuring tracks in Brain-inspired Computing and Machine Learning in 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, Ethics of AI. *Brain-inspired Computing*: Cognitive models, Computational Neuroscience, Self-organisation, Bioinspired 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, Speech and 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 2022 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 Special Sessions and Workshops* ICANN 2022 organizers cordially invite internationally recognised experts to organise Special sessions and Workshops within the general scope of the conference. Proposals should be sent to ICANN2022 at uwe.ac.uk *CALL FOR PAPERS* Authors willing to present original contributions in either the 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/icann2022/ *IMPORTANT DATES* Deadline for special session and workshop proposals: 28 Feb 2022 Opening of contribution submissions: 21 Feb 2022 Deadline for full paper and extended abstract submission: 13 Apr 2022 Notification of acceptance: 20 Jun 2022 Camera-ready paper upload: 30 June 2022 Deadline for author registration and early registration at early rate: 30 June 2022 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* *General Chairs* Elias Pimenidis ? UWE Bristol, UK Angelo Cangelosi ? University of Manchester, UK *Organising Committee Chairs* Tim Brailsford ? UWE Bristol, UK Larry Bull ? UWE Bristol, UK *Honorary Chairs* Stefan Wermter ? University of Hamburg, Germany (ENNS President) Igor Farka? ? FMPI, Comenius University in Bratislava, Slovakia *Programme Committee Chairs* Plamen Angelov ? Lancaster University, UK Mehmet Aydin ? UWE Bristol, UK Chrisina Jayne ? Teesside University, UK Elias Pimenidis ? UWE Bristol, UK *Communication Chairs* Paolo Masulli ? ENNS, Technical University of Denmark Krist?na Malinovsk? ? FMPI, Comenius University in Bratislava, Slovakia Antonios Papaleonidas ? Democritus University of Thrace, Greece -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: hjLRcgejvH35bOQV.png Type: image/png Size: 9597 bytes Desc: not available URL: From lmuller2 at uwo.ca Mon Apr 4 00:28:41 2022 From: lmuller2 at uwo.ca (Lyle Muller) Date: Mon, 4 Apr 2022 04:28:41 +0000 Subject: Connectionists: Postdoctoral Scholar in Computational/Theoretical Neuroscience (Western University) Message-ID: The lab of Lyle Muller (http://mullerlab.ca) at the Department of Mathematics and the Western Institute for Neuroscience (Western University, London, Ontario) has an open postdoctoral position in computational and theoretical neuroscience. This scientist will work with an international NeuroNex consortium (http://nxwm.io) studying the transcriptomic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). Research in this project utilizes a combination of large-scale numerical simulations, supervised/unsupervised learning, and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and/or low-level programming (C/C++) is preferred. Prior experience with computational modeling, signal processing, or random graph theory is also preferred. Western University offers an excellent research environment and support. Both our group and the University are deeply committed to fostering diversity in the sciences, and applications from underrepresented groups are strongly encouraged. Interested candidates can write to lmuller2 at uwo.ca with a CV and statement of interest. Review of applications will begin on 18 April 2022. -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From susan.fischer at tue.mpg.de Sat Apr 2 09:26:00 2022 From: susan.fischer at tue.mpg.de (Susan Fischer) Date: Sat, 02 Apr 2022 15:26:00 +0200 Subject: Connectionists: Coordinator position: Diversity Internship Programme (=?UTF-8?B?Q2FDVMO8Uw==?=) Message-ID: <67EAFDE1-8750-4373-9B2E-9EB18C28D1CC@tue.mpg.de> ---- Apologies for cross-posting ---- In an exciting venture, the Max Planck Institute for Biological Cybernetics has created a new internship programme, targeting students from currently underrepresented communities. The Institute investigates information processing in the brain for which it uses experimental, theoretical and computational methods to study perception, memory, decision-making, motor performance and more, and to develop appropriate recording and imaging techniques. We now invite applications for a part-time position for a Coordinator of the Computation and Cognition T?bingen Summer Internship (CaCT?S internship) (m/f/d;). This position is limited until 31 October 2023 in the first instance. The internship aims to improve diversity, equity and inclusion in animal, human and machine intelligence research by offering paid research stays to students from currently underrepresented groups to work on projects suggested and supervised by early career researchers. By providing hands-on research experience, access to first-class research facilities and scientific networks at the start of the students? careers, the initiative counteracts systemic disadvantages and empowers students to continue their academic career and to develop their full potential. Key Duties & Responsibilities: In your role as CaCTu?S Coordinator you will be responsible for the implementation and the overall management of the internship. You will contribute to the planning, organisation, implementation and maintenance of the programme?s activities, systems and processes and serve as the point of contact for potential candidates/enrolled interns. You will also identify and assess further potential external funding opportunities and contribute to the strategic development and promotion of the initiative. Full job description and detailed information about the position can be found on our website at: https://jobs.tue.mpg.de/jobs/168 ************************************************ CaCT?S Internship Coordination Office Max Planck Institute for Biological Cybernetics Max-Plank-Ring 8 72076 T?bingen Germany cactus-internship at tuebingen.mpg.de http://cactus-internship.tuebingen.mpg.de/ ************************************************ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Mon Apr 4 03:22:30 2022 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Mon, 4 Apr 2022 07:22:30 +0000 Subject: Connectionists: 2nd CfP special issue Journal of the Digital Humanities Association of Southern Africa: Crossroads Digital Humanities Message-ID: <4904315b0659109a1242262f205d062d6d03eebe.camel@nwu.ac.za> Call for Papers Special Issue of the Journal of the Digital Humanities Association of Southern Africa: Crossroads Digital Humanities We invite authors and particularly those from the Digital Humanities community to submit manuscripts to a special issue of the JDHASA. In this special issue, we want to investigate the manifold connections of the Digital Humanities with academic disciplines that are not usually connected with DH. We also welcome comparative Digital Humanities studies of different datasets, and hands-on or analytical work in the sciences where Digital Humanities methods or approaches are applied. Practical examples of the application of Digital Humanities and their application to real life problems are equally welcome. In particular, research within the context of Southern Africa is encouraged. Topic of Interests include but are not limited to: * Connections of Digital Humanities and the Sciences, e.g., DH meets Medicine, Social Science, Education, Geography, or Climate Change; * Digital Humanities methods applied to multiple fields of Humanities, such as Literature and Music, Social Sciences and NLP, Language studies and Education; * Applications of Digital Humanities to real life problems in developing countries and communities; * Digital Humanities research in low-resource environments; * Theoretical or Hermeneutic studies of multi-disciplinary Digital Humanities. Formal requirements: * Manuscripts are to be submitted as PDF and .docx or .odt (or as zip- compressed Latex folder) on our website (Link here); Submissions have to be made directly via the journal website ( https://upjournals.up.ac.za/index.php/dhasa/ ); * All submissions should be formatted according to our style sheets (Link here); * Submissions should be max. 15 pages long excluding references; * The review process will be open (for both authors and reviewers). Important dates: * Submission deadline 15 May 2022 * Notification to authors, first review: 16 July 2022 * Revised manuscripts due: 31 August 2022 * Notification to authors, second review: 30 September 2022 * Final version: 15 November 2022 * Publication: December 2022 About the journal The Journal of the Digital Humanities Association of Southern Africa (DHASA) is a peer-reviewed open-access journal of DHASA. Since its foundation in 2016, DHASA has become the official network of digital humanities scholars in Southern Africa. DHASA members come from a wide variety of fields in the humanities, social sciences, and computer sciences. Guest editors Franziska Pannach, G?ttingen Centre for Digital Humanities, Germany Menno van Zaanen, South African Centre for Digital Language Resources, South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: https://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: https://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender by reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ From e.neftci at fz-juelich.de Mon Apr 4 02:50:24 2022 From: e.neftci at fz-juelich.de (Emre Neftci) Date: Mon, 4 Apr 2022 08:50:24 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Applications_to_2022_Telluride?= =?utf-8?q?_Neuromorphic_Cognition_Engineering_Workshop=2C_Telluride=2C_Co?= =?utf-8?q?lorado=2C_June_26_=E2=80=93July_16=2C_2022?= Message-ID: <01fbf573504199a4dffc6c5afd6f431553e68677.camel@fz-juelich.de> Call for Applications to 2022 Telluride Neuromorphic Cognition Engineering Workshop, Telluride, Colorado, June 26 ?July 16, 2022 DEADLINE: April 8nd, 2022 We are accepting applications to the 2022 Telluride Neuromorphic Cognition Engineering Workshop. The Workshop has been running for over 25 years, and has been influential in shaping the field of neuromorphic engineering and serving as a forum connecting across disciplines such as artificial intelligence, neuroscience, cognitive science, machine learning, robotics, computer vision, signal processing, and electrical engineering. Details of this year?s workshop (topics, format, financial arrangements) can be found at: https://sites.google.com/view/telluride-2022/home The application website is here. IMPORTANT DATES FOR APPLICATION Application Website Open - 18. February, 2022 Application Close - 08. April, 2022 Notification of Acceptance - 15. April, 2022 WORKSHOP GOALS: Neuromorphic engineers design and fabricate artificial neural systems whose organizing principles are based on those of biological nervous systems. Over the past 27 years, the neuromorphic engineering research community focused on the understanding of low-level sensory processing and systems infrastructure; efforts are now expanding to apply this knowledge and infrastructure to addressing higher-level problems in perception, cognition, and learning. In this 3-week intensive workshop and through the Institute for Neuromorphic Engineering (INE), the mission is to promote interaction between senior and junior researchers; to educate new members of the community; to introduce new enabling fields and applications to the community; to promote ongoing collaborative activities emerging from the Workshop, and to promote a self-sustaining research field. -- Prof. Dr. Emre Neftci Head of Peter Gr?nberg Institute 15 - Neuromorphic Software Ecosystems Forschungszentrum J?lich www.fz-juelich.de/pgi/PGI-15 www.nmi-lab.org -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 7537 bytes Desc: not available URL: From ioannakoroni at csd.auth.gr Mon Apr 4 03:58:23 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 4 Apr 2022 10:58:23 +0300 Subject: Connectionists: CfP IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022): "Image and Video in the Big Data Era", 26-29 June 2022, Nafplio, Greece References: <000e01d8475a$a71ffdb0$f55ff910$@csd.auth.gr> Message-ID: <12fb01d847f9$c26000d0$47200270$@csd.auth.gr> ======================================================================= IVMSP 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop 26-29 June 2022, Nafplio, Greece https://2022.ivmsp.org/ Theme: Image and Video in the Big Data Era ======================================================================= Keynote Speakers: https://2022.ivmsp.org/keynote-speakers/ * Avideh Zakhor, UC Berkeley, USA * Alex Dimakis, Univ. of Texas at Austin, USA * Ioannis Katsavounidis, Meta, USA ======================================================================= Special Sessions: https://2022.ivmsp.org/special-sessions/ * Image, Video and Point Cloud Coding in the Deep Learning Era * Image Processing in Digital Pathology * Multispectral Sensing and Surveillance Applications * Multimodal Analysis, Fusion and Retrieval of satellite images ======================================================================= The 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022) will be held June 26-29, 2022 in Nafplio, the capital of the first Hellenic Republic (Greece). It will bring together leading experts from academia and industry to share the most recent and exciting advances in image, video, and multidimensional signal processing and analysis. IVMSP 2022 is the 14th of the biennial events that are organised by the Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) of the IEEE Signal Processing Society with the aim to promote and guide the advancement of the field of image, video, and multidimensional signal processing. This includes those areas listed under all EDICS categories of the IEEE Transactions on Image Processing and the IEEE Transactions on Computational Imaging, as well as under the EDICS subcategory Multidimensional Signal Processing of IEEE Transactions on Signal Processing. The program will include presentations of novel research theories / applications / results in lecture, poster and plenary sessions. In addition to the technical program, a social program will be offered to the participants and their companions. It will provide an opportunity to meet colleagues and friends against a backdrop of outstanding natural beauty and rich cultural heritage in one of the best-known international tourist destinations. Topics of interest include: ? Biological and Perceptual-based Processing ? Biometrics, Forensics, and Content Protection ? Colour and Multispectral Processing ? Compression, Transmission, Storage, Retrieval ? Computational Imaging ? Computer Vision Algorithms and Technologies ? Deep learning architectures and pipelines; Dictionary learning; Reinforcement learning; Interpretable learning; Incremental learning ? Document and Synthetic Visual Processing ? Electronic Imaging ? Filtering, Transforms, Multi-Resolution Processing ? Image and Video Analysis for the Web ? Image Processing for AR/VR Systems ? Image Processing for Autonomous Vehicles ? Light field, point cloud, and holographic imaging ? Medical Image and Video Analysis ? Multi-Temporal and Spatio-Temporal Processing ? Multi-View, Stereoscopic, 360 and 3D Processing ? Multidimensional Signal Processing (Algorithms and transforms; Applications; Filtering; Signal and system modelling and identification; Spectral estimation) ? Restoration, Enhancement, Super-Resolution ? Scanning, Display and Printing ? Video Processing and Analytics ? Visual Quality Assessment ======================================================================= PAPER SUBMISSION: https://2022.ivmsp.org/author-kit/ The language of the Workshop is English. Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures, tables, references and one optional 5th page containing only references). Submitted papers will be peer-reviewed by at least two experts in the field. All accepted papers will be published in IEEE Xplore. ======================================================================= IMPORTANT DATES ? Submission of full papers ? April 13, 2022 ? Notification of acceptance ? May 4, 2022 ? Author advance registration ? May 11, 2022 ? Camera-ready paper submission ? May 11, 2022 ======================================================================= -- 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 boris.gutkin at ens.fr Mon Apr 4 06:10:11 2022 From: boris.gutkin at ens.fr (bgutkin) Date: Mon, 4 Apr 2022 12:10:11 +0200 Subject: Connectionists: The interplay of complex and coherent dynamics in brain function; Cergy (France) May 18-22 2022 References: Message-ID: <14FCB5FD-8985-475F-B972-597FAC25594F@ens.fr> The HYBRID workshop The interplay of complex and coherent dynamics in brain function https://complexityparisseine.wordpress.com/ will take place at Cy Advanced Studies , Neuville sur Oise (France) from 18-20 May 2022. This international workshop is the final act of the ANR Project Exact Reduction of Multiscale Neural Dynamics ERMUNDY involving CY Cergy Paris Universit?, ?cole Normale Sup?rieure in Paris and Institut de Neurosciences des Syst?mes in Marseille. Our aim is to bring in Neuville-sur-Oise scientists working in different disciplines ranging from applied mathematics to neuroscience, from physics to biology in order to address a topic of general interest as the emergence of complex and coherent dynamics in the brain. If you are interested to follow the workshop via ZOOM you should register here: https://univ-amu-fr.zoom.us/meeting/register/tZEuceypqjItE9ASdbQAOwoovh7EJcc0xb9J In case you would like to come (even for 1 single day) and eventually present a poster, you should register here : https://complexityparisseine.wordpress.com/contact/ due to COVID restrictions only 20 places are left and they will be reserved in priority for those presenting a poster. The organizing committee A. Torcini, B. Gutkin, D. Battaglia, M. di Volo -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc22.conference at gmail.com Mon Apr 4 07:51:11 2022 From: iccc22.conference at gmail.com (ICCC 2022) Date: Mon, 4 Apr 2022 21:51:11 +1000 Subject: Connectionists: Final Call for Short Papers: The 13th International Conference on Computational Creativity (ICCC'22) Message-ID: (Apologies for cross-posting - Please distribute!) *FINAL CALL FOR SHORT PAPERS AND DEMOS The 13th International Conference on Computational Creativity (ICCC'22)* *June 27 ? July 1, 2022, Bozen-Bolzano, Italy * *(physical event supporting some virtual presence) * *Call for short papers * https://computationalcreativity.net/iccc22/short-paper-and-demos/ *Deadline extended!* ????????????????????? **** Short Paper and Demos Deadline *** *Short papers deadline: April 13th April 22nd Notification: May 13th May 16th ????????????????????? Computational Creativity (or CC) is a discipline with roots in Artificial Intelligence (AI), Cognitive Science, Engineering, Design, Psychology and Philosophy, and which explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. **** ICCC Themes and Topics **** Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: - Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. - Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself. - Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how such systems are perceived in society. - Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation. - Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials. - Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems. - Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts. - Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. - Perspectives on CC which draw from philosophical and/or sociological studies in a context of creative intelligent systems. - CC in the cloud, including how web services can be used to foster unexpected creative behavior in computational systems. - Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome. - High-level analyses of trends, biases, paradigms and historical shifts in the computational treatment of creativity. New papers reflecting all computational approaches and perspectives on creativity are welcome, including e.g., symbolic approaches, neural and statistical approaches, hybrid approaches, big-data approaches, rule-based approaches, curated approaches, and so on. The onus is on authors to argue and/or explicitly demonstrate the relevance of their work to the topic of computational creativity. Manuscripts should be exclusively submitted to ICCC, and may only be under review for ICCC for the duration of the review process. All papers should be in-scope and comply with scientific norms. The program chairs reserve the right to fast review papers that do not abide by these requirements. **** Short Paper Types *** *Short papers offer concise treatments of work and ideas that are better suited to this concentrated format. We anticipate submissions in the short paper category along any or all of the following lines: - *Nuggets and Gems:* short papers on any topic of CC for which one might consider a long paper. In this case, the work will be succinct enough, or at an early enough stage, to warrant the short paper format. - *System Demonstrations:* Submissions for the show-and-tell session should be made as short papers that are marked accordingly. - *Debate Sparks:* The short paper format is ideal for provocations that get the community talking. Is there some aspect of CC that you feel deserves more attention from the community? - *CC Translations:* Researchers in other fields often do work that we in CC would see as related to our own. We invite those researchers to present such work at ICCC, via a Translations short paper. This is submitted as an extended abstract that summarizes your work in another field. - *CC Bridges:* Research communities often retreat into silos and fail to reach out beyond their own borders. A bridging short paper explicitly seeks to create bridges to another field, to foster interdisciplinarity. Unlike a Translations paper, a Bridge is written by a CC researcher wishing to introduce new ideas from beyond our conventional horizons. - *Late Breaking Results:* The results of your work (empirical or system-related) may not have been ready for a long-paper submission. Consider submitting that work now in a short-paper format. - *Pilot Studies:* Have you conducted an initial foray into a research topic that deserves attention? Plant a flag for your research with a short paper. - *Grand Challenges:* Do you have a proposal for a task that can bring large parts of the community together in a productive collaborative effort? - *Meta-Perspectives:* Do your experience of the CC community (such as our conferences, workshops, reviewing processes, etc.) move you to write an analysis of how we might do things differently and better? - *Field Reports:* Have you taken your CC research into the field, where practitioners and/or commercial partners have explored its uses first hand? Consider writing a short paper about your experiences. - *Event Reports:* Have you organized a CC-flavored event ? a workshop, a tutorial, a seminar series, a postgraduate course, a public debate, an exhibition of CC outputs, or related outreach activity? Consider writing a short paper on your experience and that of your audience. **** DEMO papers **** All authors of accepted papers can opt to also show a demo of their system or prototype during the conference. You will be asked if you are interested in this option during the submission process. **** Submission, Paper and Presentation Format**** All short papers have the same length restriction (4 pages), and may focus on any of the same themes or topics as long papers. Papers should be anonymized and submitted as a PDF document formatted according to ICCC style (which is similar to AAAI and IJCAI formats). You can download the updated ICCC?22 template here: [ https://computationalcreativity.net/iccc22/wp-content/uploads/2022/01/ICCC-22-author-kit.zip ]. Submissions must be done before the deadline through the EasyChair platform at the ICCC 2022 site: [https://easychair.org/conferences?conf=iccc20220]. To be included in the proceedings, each paper must be presented at the conference by one of the authors. This means that at least one author will have to register and participate in the session in which their paper is presented, including the designated question-and-answer period. In order to ensure the highest level of quality, all submissions will be peer-reviewed and evaluated in terms of their scientific, technical, artistic and/or cultural contribution, and therefore there will be only one format for submission. However, the program committee will decide, for each submission, the most appropriate format for presentation: talk, poster, or system demonstration. * *** Important Dates for Short Papers and Demos **** Deadline: April 13th, 2022 April 22nd, 2022 Acceptance notification: May 13th, 2022 May 16th, 2022 Camera-ready copies due: May 31st, 2022 Conference: June 27-July 1, 2022 The submission deadline for short papers is set after the long-paper notification, allowing authors to retool their long-paper submissions for this call. **** More Information **** More information on the paper types and submission process can soon be found at https://computationalcreativity.net/iccc22/short-paper-and-demos/ **** Organizing Committee **** General Chairs: Oliver Kutz & Tony Veale Local Chair: Roberto Confalonieri Program Chairs: Anna Kantosalo & Maria M. Hedblom ---------------------------------------- Follow us at: Facebook ? https://www.facebook.com/pg/computationalcreativity/ Twitter ? https://twitter.com/iccc_conf Instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.Nowotny at sussex.ac.uk Mon Apr 4 12:28:57 2022 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Mon, 4 Apr 2022 16:28:57 +0000 Subject: Connectionists: Four lectureships available at University of Sussex In-Reply-To: References: Message-ID: Dear Connectionists, four permanent positions at the level of lecturer (assistant professor) are available at University of Sussex due to our rapid expansion in Computer Science and AI. The lectureships are for any topics in Computer Science/Informatics, including bio-inspired AI and computational neuroscience. Please get in touch if you want to know more. The full advert is here: https://www.sussex.ac.uk/about/jobs/lecturer-com-sci-8058 Come and work with us in the beautiful city of Brighton on the South coast of England. Best regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny [../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny] I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Mon Apr 4 18:26:22 2022 From: terry at salk.edu (Terry Sejnowski) Date: Mon, 04 Apr 2022 15:26:22 -0700 Subject: Connectionists: NEURAL COMPUTATION - April 1, 2022 In-Reply-To: Message-ID: Neural Computation - Volume 34, Number 4 - April 1, 2022 Available online for download now: http://www.mitpressjournals.org/toc/neco/34/4 http://cognet.mit.edu/content/neural-computation ----- Articles Formulation and Emulation of Quantum-Inspired Dynamical Systems With Classical Analog Circuits Rahul Sarpeshkar, Anthony James Cressman, Woradorn Wattanapanitch, and Isaac Chuang Bayesian Brains and the R?nyi Divergence Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, J?rgen Schmidhuber, and Karl Friston Neural Circuits for Dynamics-based Segmentation of Time Series Tiberiu Tesileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M Sengupta, and Dmitri B Chklovskii Letters Parameter Identification Problem in the Hodgkin-Huxley Model Alexandre L. Madureira, Jemy A. Mandujano Valle Adaptive Learning Neural Network Method for Solving Time?fractional Diffusion Equations Guo-Cheng Wu, Babak Shiri, Hua Kong, and Cheng Luo Understanding Dynamics of Nonlinear Representation Learning and Its Application Kenji Kawaguchi, Linjun Zhang, and Zhun Deng Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks Tatsuya Akutsu, So Kumano Research on Imbalanced Data Classification Based on Classroom-like Generative Adversarial Networks Lin Lin, Yancheng Lv, Jie Liu, Hao Guo, and Changsheng Tong ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- ???????????????????????????????????????????????????????????????????? ? ? MobaXterm 20.2 ? ? ? (SSH client, X-server and networking tools) ? ? ? ? ? SSH session to terry at dale.snl.salk.edu ? ? ? SSH compression : ? ? ? ? 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Type ? for help. "connect": 1840 messages > 1 ATAXR at asuvm.inre. Fri May 31 20:01 530/28678 Connectionist Learning - Some New Ideas/Questions 2 pierre at mbfys.kun. Fri May 31 20:01 102/3786 sensitivity analysis and relevance 3 ATAXR at asuvm.inre. Tue Jun 4 15:55 666/33292 Connectionists Learning - Some New Ideas/Questions 4 thrun+ at heaven.lea Tue Jun 4 15:55 96/3991 Call for papers: Special issue Machine Learning 5 hu at eceserv0.ece.w Sat Jun 8 06:20 105/5094 IEEE Trans. SP Special issue CFP: Neural Network Signal Processing 6 adali at engr.umbc.e Thu Jun 13 16:31 100/3576 CFP: Spec. Issue on Apps. of NNets in Biomedical Imaging/Image Processing 7 Dimitris.Dracopou Fri Jun 14 18:46 69/2784 Advanced MSc in Neural & Evolutionary Systems (London) 8 piuri at elet.polimi Wed Jun 19 13:48 90/4071 Journal of Integrated Computer-Aided Engineering 9 malsburg at neuroinf Tue Jun 25 18:35 64/2317 Announcement: Web pages on vision, robotics and neural networks 10 fritzke at neuroinfo Wed Jun 26 04:11 90/4250 Java neural network software available 11 Connectionists-Re Mon Jul 1 12:11 341/12978 Bi-monthly Reminder 12 pierre at mbfys.kun. Wed Jul 3 02:00 59/2415 Re: sensitivity analysis and relevance 13 terry at salk.edu Tue Jul 9 09:59 83/2795 NEURAL COMPUTATION 8:5 14 jagota at ICSI.Berke Fri Jul 19 23:11 140/5188 Electronic Journal Announcement 15 terry at salk.edu Wed Jul 31 14:16 91/3291 NEURAL COMPUTATION 8:6 16 ling at cs.hku.hk Wed Jul 31 21:51 50/2369 Controversies at the Symposium of Computational Model of Development 17 rsun at cs.ua.edu Tue Aug 13 18:14 99/3976 IEEE TNN special issue on hybrid systems 18 dwang at cis.ohio-st Wed Aug 14 18:47 46/2493 Neurocomputing Best Paper Award 19 radford at cs.toront Thu Aug 29 04:24 74/4147 New release of Bayesian NN software 20 Connectionists-Re Sun Sep 1 16:59 342/13150 Bi-monthly Reminder 21 ruppin at math.tau.a Fri Sep 6 21:35 136/6478 CFP:-Modeling-Brain-Disorders 22 payman at isdl.ee.wa Tue Sep 10 17:28 100/4336 CFP: IEEE Transactions on Neural Networks, Special Issue 23 cas-cns at cns.bu.ed Tue Sep 17 13:11 354/13994 Grad Training - BU Cognitive & Neural Systems 24 Randy_Ringen at hmc. Fri Sep 20 15:51 103/6128 Sejnowski Awarded Prestigious Wright Prize 25 terry at salk.edu Tue Sep 24 19:46 80/2822 Neural Computation 8:7 26 terry at salk.edu Tue Sep 24 22:51 19/740 Re: Congratulations! 27 geczy at bpel.tutics Tue Sep 24 23:01 25/1351 Re: Congratulations! 28 marks at u.washingto Mon Sep 30 09:03 96/4187 IEEE TNN CFP: Special Issue on Everday Applications 29 atick at monaco.rock Thu Oct 10 00:51 110/3284 Table of Contents for latest issue of Network:CNS 30 terry at salk.edu Fri Oct 11 03:03 86/2995 NEURAL COMPUTATION 8:8 31 dwang at cis.ohio-st Tue Oct 15 11:13 59/2775 Special Issue on Radial Basis Functions Networks 32 gcv at di.ufpe.br Tue Oct 22 05:35 136/5997 CFP: JBCS on Neural Networks 33 dwang at cis.ohio-st Sat Oct 26 04:38 92/4112 Neurocomputing, Vol.13 (2-4) 34 john at dcs.rhbnc.ac Tue Oct 29 10:03 87/3843 Special Issue on VC Dimension 35 pauer at igi.tu-graz Thu Oct 31 01:26 95/3667 Special Issue on Computational Learning Theory 36 Connectionists-Re Fri Nov 1 19:52 342/13148 Bi-monthly Reminder 37 amari at zoo.riken.g Thu Nov 14 18:22 68/3048 Neural networks awards 38 fayyad at MICROSOFT. Tue Nov 19 10:27 123/5034 Data Mining & knowledge Discovery Journal: contents vol 1:1 39 hu at eceserv0.ece.w Thu Nov 21 05:48 107/5331 40 ping at cogsci.richm Thu Nov 21 05:48 64/3171 Re: Connection Science 41 mcasey at volen.bran Fri Nov 29 23:08 86/3550 Re: new paper on the effect of analog noise in neural computation 42 maass at igi.tu-graz Fri Nov 29 23:08 68/3034 analog noise 43 mcasey at volen.bran Sat Nov 30 22:17 74/3391 Re: analog noise 44 orponen at math.jyu. Sun Dec 1 14:18 95/4538 Re: analog noise 45 Luca.GAMMAITONI at p Thu Dec 5 05:01 54/1941 Stochastic Resonance: new e-print and bibliography www server now available 46 ruppin at math.tau.a Fri Dec 13 02:06 137/6427 Last-CFP:-Modeling-Brain-Disorders 47 seckel at klab.calte Fri Dec 20 15:54 55/2770 Caltech site on brain and cognitive science, illusio 48 A.Sharkey at dcs.she Fri Dec 20 15:54 57/2315 Special Issue of Connection Science 49 Connectionists-Re Wed Jan 1 05:12 342/13145 Bi-monthly Reminder 50 terry at salk.edu Thu Jan 2 18:15 88/2956 Neural Computation 9:1 51 adali at engr.umbc.e Fri Jan 3 01:31 96/4613 CFP: NNSP'97 Special Session -Apps of NNs in Biomedical SP 52 erik at bbf.uia.ac.b Thu Jan 9 22:24 117/6136 Crete Course in Computational Neuroscience 53 terry at salk.edu Sun Jan 12 00:51 209/9482 Telluride Workshop 54 marks at u.washingto Tue Jan 14 23:29 43/1720 IEEE TNN now on-line 55 lemmon at endeavor.e Wed Jan 15 19:19 76/3933 IEEE-TAC Special Issue 56 radford at cs.toront Mon Jan 20 22:53 83/3908 Software & Technical Report available 57 jagota at cse.ucsc.e Thu Jan 30 15:17 54/2576 NCS e-journal solicits collections 58 rybaki at eplrx7.es. Wed Feb 5 22:41 57/2719 information about WEB cites, please post 59 klaus at prosun.firs Mon Feb 10 20:08 85/3158 Call for Tricks ;-) 60 ataxr at IMAP1.ASU.E Sun Feb 16 23:24 148/7981 Does plasticity imply local learning? And other questions [connectionists] 61 leon at inforamp.net Sat Feb 22 05:01 31/1248 Numerical Methods For Data Preprocessing 62 ataxr at IMAP1.ASU.E Fri Feb 28 01:03 552/22994 Does plasticity imply local learning? And other questions 63 hexmoor at cs.Buffal Sat Mar 1 20:29 160/6466 CFP 64 terry at salk.edu Thu Mar 6 03:05 97/3480 NEURAL COMPUTATION 9:2 65 Friedrich.Leisch@ Thu Mar 6 23:39 60/2960 CI BibTeX Collection -- Update 66 bap at cs.unm.edu Thu Mar 6 23:39 61/2892 Abbadingo One: DFA Learning Competition 67 terry at salk.edu Fri Mar 14 13:59 206/8977 Telluride Deadline April 1 68 jagota at cse.ucsc.e Mon Mar 24 19:46 48/2288 NCS print version 69 tufarolo at acm.org Fri Apr 4 09:16 94/3514 ACM SIGSIM Mailing List & Conference Message 70 Dragan.Obradovic@ Fri Apr 11 05:42 47/1846 Book: Information Theory and Neural Networks [connectionists] 71 kpfleger at cs.stanf Fri Apr 18 05:40 93/5022 NIPS*97 workshop on NNs related to graphical models? 72 Uwe.Zimmer at GMD.de Wed Apr 23 10:16 91/4274 Japanese Robotics Research - a report and more 73 meyer at wotan.ens.f Wed Apr 23 17:12 96/3894 MODELS OF SPATIAL NAVIGATION 74 terry at salk.edu Fri Apr 25 01:50 93/3349 NEURAL COMPUTATION 9:4 75 gerhard at ai.univie Wed Apr 30 16:06 161/7421 CfP: MLJ Special Issue on Context Sensitivity and Concept Drift (http://www.ai.univie.ac.at/mlj_specissue 76 gerhard at ai.univie Wed Apr 30 22:44 151/6888 CfP: MLJ Special Issue on Context Sensitivity and Concept Drift (http://www.ai.univie.ac.at/mlj_specissue 77 beigi at watson.ibm. Thu May 8 17:16 72/2973 ISSCI Pattern Recognition Section 78 ingber at ingber.com Fri May 9 08:20 67/2961 EEG data now publicly available 79 imlm at tuck.cs.fit. Sun May 11 16:32 150/5638 CFP: MLJ special issue on IMLM 80 ataxr at IMAP1.ASU.E Thu May 15 13:59 942/47401 CONNECTIONIST LEARNING: IS IT TIME TO RECONSIDER THE FOUNDATIONS? [connectionists] 81 gpo at neuraltek.com Mon May 26 18:53 79/3417 NeuroFeed 1.0 - Press Release & h $ > 1783 vinxlemons at gmail. Sat Jan 6 11:57 264/13837 Connectionists: CORe50: a new Dataset and Benchmark for Continuous/Lifelong Object Recognition 1784 terry at salk.edu Wed Jan 24 08:10 184/8961 Connectionists: NEURAL COMPUTATION - February 1, 2018 1785 connectionists-ow Wed Jan 24 07:47 112/6005 Your message to Connectionists awaits moderator approval 1786 aanchan at gmail.com Tue Jan 23 22:41 272/16016 Connectionists: Spotify RecSys 2018 Music Recommendation Challenge 1787 gustau.camps at uv.e Fri Feb 2 00:30 157/8468 Connectionists: New book: kernel methods for signal processing 1788 connectionists-ow Fri Feb 16 08:41 112/6006 Your message to Connectionists awaits moderator approval 1789 pascualm at key.uzh. Thu Feb 22 23:20 201/11645 Connectionists: Comparing EEG/MEG neuroimaging methods based on localization error, false positive activ 1790 risto at cs.utexas.e Thu Mar 15 03:36 160/8828 Connectionists: EC research website 1791 terry at salk.edu Sat Feb 17 03:10 174/8358 Connectionists: NEURAL COMPUTATION - March 12, 2018 1792 connectionists-ow Sun Mar 25 16:42 108/5812 Your message to Connectionists awaits moderator approval 1793 terry at salk.edu Mon Mar 26 00:01 175/8722 Connectionists: NEURAL COMPUTATION - April 1, 2018 1794 joue at humtec.rwth- Tue Apr 3 00:43 165/9122 Connectionists: participants needed for 10-minute online study on news sharing on the Internet 1795 asier.erramuzpeal Mon Apr 16 23:47 178/9860 Connectionists: [UNWANTED UNSUBSCRIPTIONS] Connectionists mailing list 1796 daniel.margulies@ Fri Apr 20 03:44 225/12583 Connectionists: 8th Annual Brain-Art Competition @ OHBM open for submissions! 1797 marianne.clausel@ Fri Apr 20 03:01 391/20383 Connectionists: =?utf-8?q?PhD_Thesis_=3A_Towards_hybrid_and_expla?= =?utf-8?q?inable_recommender_systems 1798 terry at salk.edu Tue May 8 18:06 172/8628 Connectionists: NEURAL COMPUTATION - May 1, 2018 1799 erdi.peter at wigner Sun May 13 09:56 167/8811 Connectionists: Michael Arbib's autobiography is now open 1800 Herve.Frezza-Buet Tue May 15 04:28 2805/201612 Connectionists: PhD Proposal 1801 Nicolas.Rougier at i Mon May 14 06:50 143/7971 Connectionists: New replications in ReScience 1802 connectionists-ow Fri May 25 14:18 105/5674 Your message to Connectionists awaits moderator approval 1803 weng at cse.msu.edu Mon Jun 11 11:32 182/10147 Connectionists: Brain-Mind Institute Summer School and AIML Contest 2018 1804 patirniche at biolog Mon Jun 11 07:46 190/10123 [Comp-neuro] An Electrodynamic Theory of the Brain 1805 patirniche at biolog Tue Jun 19 15:29 187/10499 Connectionists: An Electrodynamic Theory of Biology 1806 terry at salk.edu Thu Jun 21 10:21 178/8819 Connectionists: NEURAL COMPUTATION - July 1, 2018 1807 connectionists-ow Thu Jun 21 10:11 108/5848 Your message to Connectionists awaits moderator approval 1808 connectionists-ow Tue Jul 17 09:32 108/5833 Your message to Connectionists awaits moderator approval 1809 terry at salk.edu Tue Jul 17 10:09 173/8397 Connectionists: NEURAL COMPUTATION - August 1, 2018 1810 rod.rinkus at gmail. Tue Jul 31 10:23 373/17106 Connectionists: A biologically motivated and more powerful alternative to locality-sensitive hashing 1811 rod.rinkus at gmail. Thu Aug 2 15:47 345/16356 [Comp-neuro] A biologically motivated and more powerful alternative to locality-sensitive hashing 1812 barros at informatik Sat Aug 11 11:58 210/11356 Connectionists: Resources Based on Neural Models for Gestures and Emotion Recognition 1813 m.plumbley at surrey Wed Aug 15 03:09 289/16605 Connectionists: Making Sense of Sounds Data Challenge 1814 connectionists-ow Fri Aug 17 05:57 108/5860 Your message to Connectionists awaits moderator approval 1815 terry at salk.edu Fri Aug 17 11:01 184/9078 Connectionists: NEURAL COMPUTATION - September 1, 2018 1816 hans.ekkehard.ple Tue Aug 21 13:35 195/10638 Connectionists: NEST 2.16.0 released 1817 msn2018 at mail.neu. Thu Aug 30 16:47 407/28008 Connectionists: CFP: Mobile Ad-hoc and Sensor Networks 2018 1818 felipe at cos.ufrj.b Fri Aug 31 07:15 387/24195 Connectionists: CFP: "60 Years of Weightless Neural Systems" at ESANN 2019 1819 alessandro.lulli@ Tue Sep 11 10:08 219/12310 Connectionists: ReForeSt an Apache Spark Library (Random Forests, Random Rotation Ensembles, and Model S 1820 latorre at lsi.uji.e Tue Sep 18 21:30 193/10482 Connectionists: Automatic Generation Groundtruth Bounding Boxes Person Tracking 1821 connectionists-ow Sun Sep 30 12:05 105/5713 Your message to Connectionists awaits moderator approval 1822 barros at informatik Fri Sep 28 05:01 301/15641 Connectionists: The OMG-Empathy Prediction Challenge 1823 terry at salk.edu Sun Sep 30 22:05 175/8610 Connectionists: NEURAL COMPUTATION - October 1, 2018 1824 vcutsuridis at gmail Tue Oct 2 21:17 316/15658 Connectionists: Frontiers Research Topic on Neuroscience of response inhibition 1825 emmanuel.vincent@ Wed Oct 3 22:04 153/8530 Connectionists: Audio Source Separation and Speech Enhancement book 1826 sergio.escalera.g Tue Oct 9 03:08 462/24132 Connectionists: Springer book: Inpainting and Denoising, call for book chapters 1827 pierre-yves.oudey Wed Oct 10 06:02 293/16493 Connectionists: [publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Sys 1828 s.purcell at exeter. Fri Oct 12 06:47 411/23174 Connectionists: Opportunities to collaborate with the EPSRC Centre for Predictive Modelling in Healthcar 1829 connectionists-ow Sat Oct 27 01:40 108/5848 Your message to Connectionists awaits moderator approval 1830 terry at salk.edu Sat Oct 27 02:30 172/8424 Connectionists: NEURAL COMPUTATION - November 1, 2018 1831 connectionists at ma Thu Oct 25 05:10 238/14612 Connectionists: Making Sense of Sounds Data Challenge deadline soon: 30 Oct 2018 1832 pascualm at key.uzh. Thu Nov 1 23:43 192/11061 Connectionists: Comparison of measures of electrophysiological connectivity 1833 diego.perez at qmul. Sun Nov 4 10:28 446/31561 Connectionists: Call for Participation - The 2018 MARLO Competition and AIIDE Workshop 1834 rloosemore at susaro Sat Nov 10 01:24 622/31581 Connectionists: Why is the neural-to-concept mapping issue being ignored (still)? 1835 ASIM.ROY at asu.edu Sun Nov 11 08:01 709/52080 Re: Connectionists: Why is the neural-to-concept mapping issue being ignored (still)? 1836 poma at mmmi.sdu.dk Sun Nov 11 08:00 302/16419 Connectionists: [news] Ebook on Neural Computation in Embodied Closed-Loop Systems for the Generation of 1837 juyang.weng at gmail Fri Nov 16 23:29 362/21888 Connectionists: A through light after we scientists are in the dark brain-mind tunnel for 70 years 1838 connectionists-ow Thu Nov 22 10:11 108/5893 Your message to Connectionists awaits moderator approval 1839 terry at salk.edu Thu Nov 22 13:37 175/8687 Connectionists: NEURAL COMPUTATION - December 1, 2018 1840 thomaskreuz at gmail Mon Nov 26 08:28 394/22303 Connectionists: Using spike train distances to identify the most discriminative neuronal subpopulation & r 1830 To: connectionists at cs.cmu.edu terry at salk.edu Subject: Re: Connectionists: NEURAL COMPUTATION - November 1, 2018 MIME-Version: 1.0 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: 8bit Neural Computation - Volume 34, Number 4 - April 1, 2022 Available online for download now: http://www.mitpressjournals.org/toc/neco/34/4 http://cognet.mit.edu/content/neural-computation ----- Articles Formulation and Emulation of Quantum-Inspired Dynamical Systems With Classical Analog Circuits Rahul Sarpeshkar, Anthony James Cressman, Woradorn Wattanapanitch, and Isaac Chuang Bayesian Brains and the R?nyi Divergence Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, J?rgen Schmidhuber, and Karl Friston Neural Circuits for Dynamics-based Segmentation of Time Series Tiberiu Tesileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M Sengupta, and Dmitri B Chklovskii Letters Parameter Identification Problem in the Hodgkin-Huxley Model Alexandre L. Madureira, Jemy A. Mandujano Valle Adaptive Learning Neural Network Method for Solving Time?fractional Diffusion Equations Guo-Cheng Wu, Babak Shiri, Hua Kong, and Cheng Luo Understanding Dynamics of Nonlinear Representation Learning and Its Application Kenji Kawaguchi, Linjun Zhang, and Zhun Deng Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks Tatsuya Akutsu, So Kumano Research on Imbalanced Data Classification Based on Classroom-like Generative Adversarial Networks Lin Lin, Yancheng Lv, Jie Liu, Hao Guo, and Changsheng Tong ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From mathias.verbeke at kuleuven.be Mon Apr 4 10:05:09 2022 From: mathias.verbeke at kuleuven.be (Mathias Verbeke) Date: Mon, 4 Apr 2022 14:05:09 +0000 Subject: Connectionists: PhD Position on Safety Assurance of Machine Learning Models in Autonomous Vessels Message-ID: PHD POSITION IN MSCA ETN AUTOBARGE: SAFETY ASSURANCE OF MACHINE LEARNING MODELS IN REMOTELY OPERATED AND FULLY AUTONOMOUS INLAND VESSELS The M-Group at KU Leuven Bruges Campus has an open PhD position for an Early Stage Researcher in the framework of the MSCA European Training Network AUTOBarge (https://etn-autobarge.eu). The objective of this position as MSCA ETN Early Stage Researcher is to investigate how possible safety risks of machine learning models are linked to existing safety assurance principles, and how these issues can be addressed by the development of appropriate model robustness strategies. In this way, the aim is to increase the run-time safety of machine learning models in remotely operated and fully autonomous inland vessels and arrive at a substantiated safety assurance argument for these models. The full job description, including an elaborate description of the topic, the profile and the offer can be found via https://www.kuleuven.be/personeel/jobsite/jobs/60098188 Only complete applications made through KU Leuven?s online application tool will be considered. Contact for further information: Prof. dr. ir. Davy Pissoort (davy.pissoort at kuleuven.be) and Prof. dr. Mathias Verbeke (mathias.verbeke at kuleuven.be). Best regards, Mathias Verbeke -------------- next part -------------- An HTML attachment was scrubbed... URL: From jaakko.peltonen at aalto.fi Mon Apr 4 11:20:06 2022 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Mon, 4 Apr 2022 15:20:06 +0000 Subject: Connectionists: MLVis 2022 : Machine Learning Methods in Visualisation for Big Data Message-ID: MLVis 2022: Machine Learning Methods in Visualisation for Big Data https://www.tuni.fi/mlvis2022/ MLVis 2022 will be a co-located workshop at EuroVis 2022. It aims to bring Machine Learning and Visualization researchers together in order to exchange research ideas. We solicit short papers on machine learning methods in visualisation, from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users. Paper submissions for MLVis should be at most 4 pages in MLVis 2022 latex style (provided on the website), with an additional page allowed for references. Papers are to be submitted via the PCS system, link on the website. At least one author of an accepted paper must register and participate in the MLVis 2022 workshop to present the accepted work. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library. Important Dates: Submission deadline: April 15, 2022 Notification deadline: May 6, 2022 Camera-ready deadline: May 13, 2022 Workshop: June 13, 2022 All submission deadlines are at 23:59 Anywhere on Earth on the date indicated. From helma.torkamaan at uni-due.de Mon Apr 4 13:01:33 2022 From: helma.torkamaan at uni-due.de (Helma Torkamaan) Date: Mon, 4 Apr 2022 19:01:33 +0200 Subject: Connectionists: ACM UMAP 2022: Second Call for Late-breaking Results and Demos Message-ID: * --- Please forward to anyone who might be interested --- --- Apologies for cross-posting --- ----------------------------------------------------------------- # ** Second Call for LBR and Demos: 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ?22)** http://www.um.org/umap2022/ (*) Due to the ongoing COVID-19 pandemic, we are planning for a hybrid conference and will accommodate online presentations where needed. ----------------------------------------------------------------- **Important Dates** ============================ *- Submission of demos and LBR papers: April 22, 2022 (Updated)* - Notification of acceptance: May 10, 2022 - Camera-ready versions of accepted papers: May 18, 2022 - Conference: July 4-7, 2022 **Note: The submissions times are 11:59 pm AoE time (Anywhere on Earth)** -------------------------------------------------------- ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the core Steering Committee, extended with past years' chairs. The proceedings are published by the ACM and will be part of the ACM Digital Library. ACM UMAP 2022 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 April 22, 2022. -------------------------------------------------------- **Submission formats** ============================ For more details, see below! ** # Demonstrations - Max. 5 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 2022 Adjunct Proceedings - Presentation as a (potentially 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 2022 Adjunct Proceedings - Presentation as a (potentially virtual) poster at the conference **Submission via**: https://easychair.org/conferences/?conf=umap22 **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 2022. 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 2022. -------------------------------------------------------- **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. The ACM Code of Ethics gives the UMAP program committee the right to (desk-)reject papers that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes/implications that clearly disadvantage minority communities. Submit your papers in PDF format via EasyChair for ACM UMAP 2022 Demos and Late-Breaking Results at https://easychair.org/conferences/?conf=umap22 (choose *New Submission*and make sure to select *UMAP 2022 Demo and LBR*track). 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 2022 Adjunct Proceedings in the ACM Digital Library. Papers will be accessible from the UMAP '22 website through ACM OpenToc Service for one year after publication 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. Due to the uncertainties regarding the COVID-19 pandemic, the poster session may be partially or fully virtual. **To be included in the Proceedings, at least one author of each accepted paper must register for the conference and present the paper there.** -------------------------------------------------------- **Late-Breaking Results and Demo Chairs** ============================ - Cataldo Musto, University of Bari, Italy - Veronika Bogina, University of Haifa, Israel - Contact: umap2022-lpd at um.org -------------------------------------------------------- **Follow UMAP 2022 on Social Media** ============================ - Twitter: @UMAPconf #umap2022 (https://twitter.com/UMAPconf) - Facebook: https://www.facebook.com/acmumap * -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Mon Apr 4 23:14:24 2022 From: bwyble at gmail.com (Brad Wyble) Date: Mon, 4 Apr 2022 23:14:24 -0400 Subject: Connectionists: Announcing Neuromatch Academy courses for 2022! Message-ID: Dear colleagues, We are excited to announce that Neuromatch Academy (NMA) is offering two courses this year from July 11th to July 29th 2022 which will run in parallel online. Applications for students and teaching assistants are now open until April 20th, 2022. NMA-Computational Neuroscience Flagship course covering contemporary computational neuroscience modeling and analysis techniques. Content: https://compneuro.neuromatch.io NMA-Deep Learning: In-depth advanced materials, ideal for graduate students and postdocs wishing to add computational techniques to their neuroscience research, or for individuals looking to dive into the Deep Learning world. Content: https://deeplearning.neuromatch.io Application Form: https://portal.neuromatchacademy.org/ What is Neuromatch Academy? Neuromatch Academy (NMA) launched in 2020 as a response to the COVID-19 pandemic. Our aim is to provide globally-accessible, high-quality, TA-supported training in computational techniques related to neuroscience. In 2020 and 2021, NMA designed and ran a fully online 3-week Computational Neuroscience and a Deep Learning course for over 3000 students with more than 350 teaching assistants (TAs) working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active community management, and low cost allowed for an unprecedented level of inclusivity and universal accessibility. What?s in a course? Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. Accepted students are placed into TA-led pods (groups) using the Neuromatch algorithm, which matches students with common interests who are in the same timezone and their preferred language for instruction. Students also receive personalized support as they work through hands-on tutorials and collaborate on course projects. [Please note that course participation requires active attendance and attention of the students for 3 weeks.] What does it cost? Neuromatch Academy?s mission is to make education affordable to everybody, no matter their financial background. We do this by pricing our courses significantly lower than other summer schools, adjusting for national economic factors, and allowing students to pay what they can when those adjustments are insufficient. Please see the website (https://academy.neuromatch.io/) for additional information, and volunteer opportunities! Warm Regards, Neuromatch Academy team Stay in touch with us via these platforms: Website: https://academy.neuromatch.io/ LinkedIn: https://www.linkedin.com/company/neuromatch-academy Instagram: https://www.instagram.com/neuromatch/ Facebook: https://www.facebook.com/NeuromatchAcademy Reddit: https://www.reddit.com/r/neuromatch/ -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Tue Apr 5 06:28:19 2022 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Tue, 5 Apr 2022 10:28:19 +0000 Subject: Connectionists: ESANN 2022 - 2nd call for papers and announcement of special sessions Message-ID: ESANN 2022 - 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium and online, 5-6-7 October 2022 https://www.esann.org 2nd Call for Papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 9, 2022. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 5 special sessions will be organized on the following topics: - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine - Continual Learning beyond classification - Deep Semantic Segmentation Models in Computer Vision - Anomaly and change point detection - Deep Learning for Graphs ESANN 2022 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. ESANN 2022 will be organized in hybrid mode: both in-person and online participation will be possible. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. Of course health and safety of the participants are our top priority; in the unfortunate event that the situation is not safe yet, the conference will be organized online on the same dates. We hope to receive your submission to ESANN 2022 and to see you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From walter.senn at unibe.ch Tue Apr 5 12:25:03 2022 From: walter.senn at unibe.ch (Walter Senn) Date: Tue, 5 Apr 2022 18:25:03 +0200 Subject: Connectionists: From Cortical Microcircuits to Consciousness, April 11-13, Paris Message-ID: There are still free places at the in person symposium From Cortical Microcircuits to Consciousness Institut Catholique de Paris, Paris, France 11-13 April 2022 The Symposium aims at bringing together neuroscientists from the Human Brain Project and invited guests to present their latest achievements in understanding cortical circuits at various scales, including the emergence of consciousness. The involvement of neuronal and neuroglial cells in brain functioning, memory, learning, cognition and consciousness in health and disease will be discussed from the experimental and theoretical perspective. The Symposium will also address neuroethics and neurophilosophy with links to society in a public key note, followed by a panel discussion by experts. Talks will be recorded and later put online. It will also offer a hands-on session on The Virtual Brain, the platform of EBRAINS for constructing and simulating personalised brain network models. EBRAINS is the European research infrastructure for gathering, processing and simulating brain data. We hope to see many of you in Paris at the Institut Catholique de Paris, close to Jardin du Luxembourg, in April 2022. Walter Senn, Alain Destexhe and Ausra Saudargiene ------------------------------------------------------------------------------ Abstract submission (300 words, for Posters): 15 March 2022 Registration deadline: 6 April 2022 https://www.humanbrainproject.eu/en/education/corticon/ Program at a glance Speakers: Katrin Amunts | Human Brain Project Scientific Research Director Melanie Boly | University of Wisconsin, USA Stanislas Dehaene | Coll?ge de France Alain Destexhe | Centre National de la Recherche Scientifique, France Kathinka Evers | Uppsala University, Sweden Wulfram Gerstner | Ecole Polytechnique F?d?rale de Lausanne, Switzerland Jeanette Hellgren-Kotaleski | KTH Royal Institute of Technology, Sweden Viktor Jirsa | Aix-Marseille University, France Christof Koch | Allen Institute for Brain Sciences, USA Matthew Larkum | Humboldt University of Berlin, Germany Steven Laureys | University of Li?ge, Belgium Marja-Leena Linne | Tampere University, Finland Marcello Massimini | University of Milan, Italy Lucia Melloni | Max Planck Institute for Human Cognitive and Brain Science, Germany Michele Migliore | Institute of Biophysics, Italian National Research Council, Italy Lars Muckli | University of Glasgow, UK Theofanis Panagiotaropoulos | Inserm, NeuroSpin, France Cyriel Pennartz | University of Amsterdam, Netherlands Panayiota Poirazi | IMBB-FORTH, GreeceClay Reid | Allen Institute for Brain Sciences, USA Petra Ritter | Berlin Institute of Health, Germany Pieter Roelfsema | Netherlands Institute for Neuroscience, Netherlands Ausra Saudargiene | Lithuanian University of Health Sciences, Lithuania Walter Senn | University of Bern, Switzerland Johan Storm | Institute of Basic Medical Sciences, University of Oslo, Norway Chris Summerfield | University of Oxford, UK Marmaduke Woodman | Aix-Marseille University, France Scientific Committee and Organizers: Walter Senn | University of Bern, Switzerland Alain Destexhe | Centre National de la Recherche Scientifique, France Viktor Jirsa | Aix-Marseille University, France Marja-Leena Linne| Tampere University, Finland Michele Migliore | Italian National Research Council, Italy Ausra Saudargiene | Lithuanian University of Health Sciences, Lithuania -------------- next part -------------- An HTML attachment was scrubbed... URL: From alice at hume.ai Tue Apr 5 12:47:24 2022 From: alice at hume.ai (Alice Baird) Date: Tue, 5 Apr 2022 12:47:24 -0400 Subject: Connectionists: [CfP] Vocal Emotion Workshop & Competition at ICML Message-ID: Dear Community, We are delighted to announce that the first annual ICML Expressive Vocalization (ExVo) Workshop and Competition will be open for registration on April 1st 2022. Organized by leading multidisciplinary researchers in emotion science and AI research and co-sponsored by Hume AI and Mila, in this first iteration of ExVo, we explore the machine learning problem of understanding and generating vocal bursts?a wide range of expressive non-verbal vocalizations such as laughs, sighs, grunts, cries, and screams (to name but a few). Participants of the ExVo Challenge will be presented with three tasks that utilize a newly introduced, large-scale dataset with 60k recordings from 1.7k speakers. The dataset and three tasks draw attention to new innovations in emotion science and capture 10 dimensions of emotion reliably perceived in distinct vocal bursts: Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness and Surprise. The three tasks include: The Multi-task High-Dimensional Emotion, Age & Country Task (ExVo Multi-task). Participants will train models to predict the average intensity of each of 10 emotions perceived in vocal bursts, as well as the speaker's age and country, using multitask learning. The Generative Emotional Vocal Burst Task (ExVo Generate). Participants will use generative models to produce vocal bursts that are associated with 10 distinct emotions. Each team will submit five machine-generated vocalizations that separately convey each emotion??awe,? ?fear,? and more?with maximal intensity and fidelity. The ExVo organization team will provide an automated method for scoring generated samples, but the final evaluation will be performed using human survey ratings. The Few-Shot Emotion Recognition task (ExVo Few-Shot). Participants will predict 10 emotions associated with each speaker?s vocal bursts using multi-output regression with two-shot speaker personalization. Participants will be provided with at least 2 labeled samples per speaker in all splits (train, validation, test). The speaker IDs and the 2 labeled samples per speaker in the test set will be withheld until a week before the deadline for final evaluation of ExVo Few-Shot models. The ExVo Workshop will also be accepting contributions on other related topics: - Detecting and Understanding Vocal Emotional Behavior - Multi-Task Learning in Affective Computing - Generating Nonverbal Vocalizations or Speech Prosody - Personalized Machine Learning for Affective Computing - Other topics related to Affective Verbal and Nonverbal Vocalization See the following website for more information, rules and deadlines: http:// www.competitions.hume.ai Attached you will find a CfP which can be shared with interested colleagues, and the general deadlines are as follows: - Challenge start (data release): April 1st - Baselines and White paper out: April 8th - Submission for participants and papers: May 27th - Notification of Acceptance: June 12th - Camera-Ready, Posters/Slides: June 17th - Workshop TBD: ~July 22nd/23rd We look forward to hearing from interested parties! Please get in touch with any questions! Best, ExVo Workshop & Competition organizing team -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Tue Apr 5 15:30:33 2022 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Tue, 5 Apr 2022 20:30:33 +0100 Subject: Connectionists: [CFP] Submission Deadline Approaching :: Int. Conf. Signal Processing and Multimedia Applications @SIGMAP 2022 Message-ID: <005001d84923$a24a7020$e6df5060$@insticc.org> CALL FOR PAPERS 19th International Conference on Signal Processing and Multimedia Applications **Submission Deadline: April 21st, 2022** https://sigmap.scitevents.org July 14 - 16, 2022 Lisbon, Portugal Important Note: The conference will be held in Lisbon but we are open to accept online presentations in case the participants can't attend the conference. Dear Colleagues, We would be very pleased to receive a regular or a position paper submission from you, with recent results, to be presented at SIGMAP 2022 until the 21st of April 2022. The purpose of SIGMAP 2022, 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 2022 will include in its technical program remarkable distinguished speakers, such as Prof. Dieter Schmalstieg from the Institute for Computer Graphics and Vision at Graz University of Technology and Prof. Yiannis Kompatsiaris, from the Information Technologies Institute, CERTH. In the last years, the proceedings have been fully indexed by SCOPUS. Beside this index all the proceedings have also been submitted to Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Engineering Index (EI) and 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 Web: https://sigmap.scitevents.org e-mail: sigmap.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Tue Apr 5 16:49:01 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Tue, 5 Apr 2022 21:49:01 +0100 Subject: Connectionists: Available Ph.D. Position in Developmental Robotics / Human-Robot Interaction Message-ID: Dear All, *Apologies for cross-posting* We are pleased to announce an opportunity for a funded Ph.D. studentship about (*Computational Modelling of Language Compositionality through Human-Robot Interaction*) at the Center for Robotics and Neural Systems (CRNS) at Plymouth University, UK. The closing date for applications is *12 noon on 04 May 2022* *(funding conditions for the international (non-home fees / non-UK-based) students are available in the link below)*. This exciting project tries to investigate language compositionality (*from the word to sentence levels*) through human-robot interaction with a view to making a robot able to understand human instructions. This requires *inferring the* *latent syntactic structure* of language through perceptual information (e.g., visual and/or haptic perception) and defining its mechanism of compositional development. This project will set the basis for learning the meaning of words and their syntactic categories (e.g., nouns, verbs) through perception in the surroundings, and learning language grammar - through an unsupervised approach - so as to understand phrases and sentences (*more details and research questions are available in the link below*). More details *about the topic*, *how to apply*, *eligibility criteria for home students / international students*, *and* *funding conditions* are available at: https://www.findaphd.com/phds/project/computational-modelling-of-language-compositionality-through-human-robot-interaction/?p143324 Computational Modelling of Language Compositionality through Human-Robot Interaction at University of Plymouth on FindAPhD.com PhD Project - Computational Modelling of Language Compositionality through Human-Robot Interaction at University of Plymouth, listed on FindAPhD.com www.findaphd.com If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.j.palmeri at vanderbilt.edu Tue Apr 5 14:27:20 2022 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Tue, 5 Apr 2022 18:27:20 +0000 Subject: Connectionists: Postdoctoral Fellowship in Cognitive and Neural Modeling of Visual Cognition at Vanderbilt Message-ID: <782AE81E-1421-4283-8115-0503106CEB08@vanderbilt.edu> (Please forward to potential interested applicants.) Postdoctoral Fellowship in Cognitive and Neural Modeling of Visual Cognition 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/cognitive behavior, neurophysiology, and electrophysiology in humans and monkeys. The other project uses cognitive and deep learning models to understand visual recognition, memory, categorization, decision making, and the development of perceptual expertise. Fellows may 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, Vanderbilt Brain Institute, Vanderbilt Data Science Institute, and 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/or neuroscience is desired but not required. Start date is negotiable, but preference will be given to candidates who can begin this spring or 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 (who can provide recommendation letters) to: Thomas Palmeri thomas.j.palmeri at vanderbilt.edu catlab.psy.vanderbilt.edu *apologies for cross-posting* -------------------------- Thomas J. Palmeri Distinguished Professor of Psychology Director of Undergraduate Research, Data Science Institute 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 aconst12 at cs.ucy.ac.cy Wed Apr 6 05:17:21 2022 From: aconst12 at cs.ucy.ac.cy (Argyris Constantinides) Date: Wed, 6 Apr 2022 12:17:21 +0300 Subject: Connectionists: Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM UMAP Workshop Message-ID: <445B7C19-B957-49CA-81B9-F6EC8ECF39BA@cs.ucy.ac.cy> Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM UMAP Workshop CALL FOR PAPERS The Fourth International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 30th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022), held both virtually and physically from Barcelona, Spain, July 04-07, 2022 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions in EasyChair by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=umap22 IMPORTANT DATES Paper submission: April 15, 2022 (23:59 AoE time) Notification to authors: May 11, 2022 Camera-ready version of accepted papers: May 18, 2022 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 2022 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 2022 will be on challenges and opportunities related to the security and privacy of remote activities (e.g., remote work environments, distance learning). 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: - 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 (e.g., e-Learning, e-Government, IoT, healthcare, etc.) - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Privacy and security in smart patient-centric healthcare systems - 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 (8-14 pages, excl. references), proposing new approaches, innovative methods and research findings. - Short research papers (up to 7 pages, excl. 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=umap22 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 benoit.frenay at unamur.be Wed Apr 6 02:42:42 2022 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Wed, 6 Apr 2022 08:42:42 +0200 Subject: Connectionists: Full-time PhD position in AI at the University of Namur (Belgium) Message-ID: <36d5c1e4-2fc2-51ed-88af-b76ced5818bf@unamur.be> Full-time PhD position in AI -- Federated Learning using Inductive Logic Programming (ARIAC project) *University faculty*: Computer science *Grade*: researcher *Contract*: renewable fixed term contract *Category*: scientific personnel *Allocation*: External funds Job description The proposed research posittion is aimed at investigating fundamental research in the context of federated learning using inductive logic programming. The position is tailored for a researcher willing to do a PhD thesis. It is conceived as a 4-years program. It is offered as a 2-years position, renewable for up to 2 additional years. The person hired will join the Focus research center under the guidance of Prof. J.-M. Jacquet, I. Linden and W. Vanhoof.? It is expected that the researcher will tackle both the design of languages and the study of their semantics. This project will also be conducted with the academic and industrial partners of the ARIAC project. More information on the project can be found at https://staff.info.unamur.be/jmj/filp. Context ARIAC by DigitalWallonia4.ai is a research project funded by the Walloon Region bringing together the five French-speaking universities and four Walloon research centers with the primary objective of accelerating the development of artificial intelligence technologies in Wallonia. The project is part of the TRAIL (Trusted AI Labs) initiative, launched in September 2020, which aims at enhancing the development of artificial intelligence technologies in Wallonia. Among the different axes, the ARIAC project aims to develop Trusted Mechanisms for AI in the goal of offering guarantees to people using AI techniques. In that context, we explore the potential of inductive logic programming in a federated learning scheme. More information on TRAIL can be found at https://trail.bydw.be/en. About the employer The University of Namur (UNamur) is located in the center of Belgium, in the French-speaking part of the country. It offers quality education to more than 7,000 students every year and hosts more than 900 researchers in all fields of expertise. The Faculty of Computer Science provides cutting-edge teaching and research, intending to put computers at the service of society, taking account of their impact on the environment and respecting the values of solidarity and sustainable development. The Faculty of Computer Science is a founding member of the Namur Digital Institute (NADI), which groups together over 150 researchers in digital technology. It has a multi-disciplinary approach and addresses, in particular, the issues and challenges of computer science in organizations and society. The Faculty of Computer Science has over 400 students, 80 members of staff, including 18 professors and around 50 researchers. Founded in 1968, the Faculty has trained over 1,800 high-level computer science graduates since then. Profile Those who apply will carry: * a Master's degree (120 ECTS credits) in Computer Science, or equivalent, * or a Civil Engineering degree, a Business Engineering degree or a Master in Mathematics with solid knowledge of computer-science related topics, or equivalent The person hired will demonstrate: * interest for language design, semantics and declarative programming * ability to integrate and work in a research team, * good communication and presentation skills in English (read, written, spoken), knowledge of French is considered as a plus, * sense of initiative and responsibility, autonomy, and organization. Note that soon to be graduating master students are welcome to apply provided that they will have graduated before the start of the position. Candidates that already hold a PhD degree are not eligible. Additional information For additional information please do not hesitate to contact one of the project leaders : J.-M. Jacquet, I. Linden or W. Vanhoof (see email addresses below). How to apply? Applications should be sent by e-mail to jean-marie.jacquet at unamur.be AND isabelle.linden at unamur.be AND wim.vanhoof at unamur.be and contain the following:****** * a motivation letter describing the interest in the research topic, * a recent CV, * a copy of diplomas (Bachelor and Master, if available), * a transcript with the grades obtained for each course taken on each university year, * the name and e-mail address of two reference persons to be contacted upon request. A dedicated selection committee will examine applications. Important dates * *Submission deadline*: May 15th, 2022 (11h59 pm AoE). * *Expected starting date*: September 1st, 2022 (negotiable, depending on COVID or candidate constraints). /The human resources management policy of the University of Namur is based on respect for equal rights and equal treatment for all. This diversity is articulated around different axes, including gender, disability, origin, beliefs, age, sexual orientation, etc. The University of Namur is also a signatory of the charter of diversity/. -------------- next part -------------- An HTML attachment was scrubbed... URL: From f.errica93 at gmail.com Wed Apr 6 04:32:59 2022 From: f.errica93 at gmail.com (Federico Errica) Date: Wed, 6 Apr 2022 10:32:59 +0200 Subject: Connectionists: [CfP - Extended Deadline] Recent Advances in Deep Learning for Graphs - LOD22 Message-ID: Call for Papers: "Recent Advances in Deep Learning for Graphs" (Extended deadline) Special Session of the 8th International Conference on machine Learning, Optimization & Data science ? LOD 2022 19 - 22nd September 2022, Certosa di Pontignano (Siena) Tuscany, Italy Conference Page: https://lod2022.icas.cc/ Updated Important Dates Papers submission (extended) deadline: May 3, 2022 (AoE). Papers Submission System: Easy Chair (https://easychair.org/conferences/?conf=lod2022) How to submit: select the track "LOD - Special Session on Recent Advances in Deep Learning for Graphs". Description The field of deep learning for graphs studies how to extend deep learning techniques to data that are represented as a graph. A graph is a data structure able to capture intricate forms of interrelations between a set of possibly high-dimensional entities, and as such its use is frequent in domains like biology, physics, computer graphics, chemistry, and social networks, to name a few. This poses two compelling challenges: on the one hand, one wants to design methods that allow us to better study and comprehend the complex available data; on the other hand, we need an efficient and effective way to capture and encode the geometric patterns of the graphs. Topics This special session aims to provide a forum for both the academic and industrial communities to report recent results related to (advanced) deep graph networks from the perspectives of theory, models, algorithms and applications. Topics appropriate for this special issue include (but are not necessarily limited to): - Deep Graph Networks Novel Approaches - Novel Deep Neural Networks for Graphs Architectures - Graph Representation Learning - Fast and/or Distributed Learning Algorithms for Deep Graph Networks - Spectral-based and Spatial-based Methods - Novel Approaches to Graph Convolution, Recursion on Graphs - Dynamical and Temporal Deep Graph Networks - Novel Graph Pooling, Graph Attention, Message Passing Mechanisms on Graphs - Algorithms for Pre-Trained Deep Graph Networks, Graph Transformer Networks - Spectral Graph Theory, Graph Wavelets - Expressive, Generalization and Representational Power of Deep Graph Networks - Universality of Invariant or Equivariant Deep Graph Networks - Learning Theory on Deep Graph Networks - Probabilistic and Generative Models of Graphs - Combination of Neural Networks for Graphs and Gaussian Processes - Heterogeneous Deep Graph Networks, Hyper-Deep Graph Networks , Multi-View Deep Graph Networks - Novel Learning Frameworks for Graph Classification, Node Classification, Link Prediction - Adversarial Attacks and Defenses on Graphs - Trustworthy Approaches for Deep Learning on Graphs - Applications based on Novel Deep Graph Networks to Physics, Mathematics, - Chemistry, Biology, Computer Vision, Nature Language Processing, Social Networks, Traffic Networks, Communication Networks, Internet of Things, Recommender Systems, Urban Computing, Drug Design, and their potential cross-modality, etc. Important Dates (from LOD site, updated) Papers submission deadline: May 3, 2022 (AoE). Reviews Released to Authors: by June 3, 2022 Rebuttal Due: by Saturday June 10, 2022 Decision Notification to Authors: by Friday June 20, 2022 Camera Ready Submission Deadline: by Monday July 1, 2022 Organizers - Ming Li, Zhejiang Normal University, China - Alessio Micheli, University of Pisa, Italy - Giorgio Stefano Gnecco, IMT School for Advanced Studies, Italy - Marcello Sanguineti, University of Genoa, Italy - Federico Errica, NEC Laboratories Europe, Germany - Franco Scarselli, University of Siena, Italy From ksharma.raj at gmail.com Wed Apr 6 05:35:40 2022 From: ksharma.raj at gmail.com (Raj Sharma) Date: Wed, 6 Apr 2022 15:05:40 +0530 Subject: Connectionists: ICMI 2022: Grand Challenge | Call for Workshop Papers Message-ID: **apologies if you have received multiple copies of this email* **************************************************************** ICMI 2022 24th ACM International Conference on Multimodal Interaction https://icmi.acm.org/2022/ 7-11 Nov 2022, Bengaluru, India ***************************************************************** GENEA Challenge The GENEA Challenge 2022: Full-body speech-driven gesture generation https://icmi.acm.org/2022/grand-challenges/ The GENEA (Generation and Evaluation of Non-verbal Behaviour for Embodied Agents) Grand Challenge 2022 aims at bringing together researchers that use different methods for non-verbal-behaviour generation and evaluation, and hopes to stimulate the discussions on how to improve both the generation methods and the evaluation of the results. The challenge topic is speech-driven gesture generation. Participants are provided a large, common dataset of speech (audio+aligned text) and 3D motion to develop their systems, and then use these systems to generate motion on given test inputs. The generated motion clips are rendered onto a common virtual agent and evaluated for aspects such as motion quality and appropriateness in a crowdsourced user study. More details will be available when the dataset is released. You can refer to the previous challenge here (be aware that the challenge dataset is different from the previous one). More details about the challenge can be found here: https://genea-workshop.github.io/2022/challenge/ ---------------------------------------------------------------------------------------------------------------------------------------------- Call for Workshop Papers https://icmi.acm.org/2022/workshops/ The 24th International Conference on Multimodal Interaction (ICMI 2022) invites papers for its focussed workshops. Visit the individual workshop webpage given below to know more. - Workshop on Multimodal Affect and Aesthetic Experience - Voice Assistant Systems in Team Interactions ? Implications, Best Practice, Applications, and Future Perspectives (VASTI?22) - The GENEA Workshop 2022: The 3rd Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents - 2nd International Workshop on Deep Video Understanding - MSECP-Wild: The 4th Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data In-the-Wild - 3rd Workshop on Social Affective Multimodal Interaction for Health (SAMIH) ---------------------------------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From marius.pedersen at ntnu.no Thu Apr 7 02:45:39 2022 From: marius.pedersen at ntnu.no (Marius Pedersen) Date: Thu, 7 Apr 2022 06:45:39 +0000 Subject: Connectionists: Postdoctoral fellow in Deep Learning-Based Image Quality Assessment at NTNU, Norway Message-ID: We have an open, fully-funded, 41 months Postdoctoral position in deep learning-based image quality assessment at Norwegian Colour and Visual Computing Laboratory (Colourlab) at the Norwegian university of Science and Technology (NTNU). The position will focus on developing deep learning based image quality metrics. The Postdoctoral position is part of the research project "Quality and Content: understanding the influence of content on subjective and objective image quality assessment", funded by the Research Council of Norway. The project aims to advance the understanding of image quality and develop more precise and better performing image quality metrics based on improved understanding on how content influences image quality. The Postdoctoral position will focus on developing more precise and better performing image quality metrics using deep-learning and understanding on how content influences image quality. The post doctoral researcher will work in collaboration with other project members and partners. We are looking for a candidate with good experience and competence in deep learning. As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 553 500 (~57500 euro) per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund. The period of employment is 41 months, and place of work is Gj?vik, Norway. Deadline: 1st of May 2022 More information and the process for applying is found at https://www.jobbnorge.no/en/available-jobs/job/224149/postdoctoral-fellow-in-deep-learning-based-image-quality-assessment Best regards Marius Pedersen Professor of Colour Imaging Director of the Norwegian Colour and Visual Computing Laboratory www.colourlab.no Department of Computer Science NTNU marius.pedersen at ntnu.no - (+47) 93 63 43 85 -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik at oist.jp Thu Apr 7 02:35:24 2022 From: erik at oist.jp (Erik De Schutter) Date: Thu, 7 Apr 2022 06:35:24 +0000 Subject: Connectionists: Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses Message-ID: <66916A78-6B7A-4E1C-BEBD-D669F17C9B7D@oist.jp> The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp), Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu). We have two postdoctoral positions open and Japan is finally issuing visa again. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses using our STEPS software (http://steps.sourceforge.net), research project depending on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik at oist.jp) for inquiries. -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 2461 bytes Desc: not available URL: From arvind.k.panchal at gmail.com Thu Apr 7 07:40:42 2022 From: arvind.k.panchal at gmail.com (Arvind Kumar) Date: Thu, 7 Apr 2022 13:40:42 +0200 Subject: Connectionists: CAMP summer course on computational neuroscience: announcement. Message-ID: Dear Colleagues, We would like to announce *CAMP at Bangalore 2022 from 23 July 2022 to 7 August 2022, in Bangalore, India*. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on ? Neuromodulation and Cell Diversity. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. The NCBS Campus has pleasant grounds, sports facilities, and the weather in late July is mild with moderate rain. There is no registration fee. Students are advised to obtain independent travel grants. Please visit the course website https://camp.ncbs.res.in/ for more details about this year's course and past courses. Application deadline: *30 April 2022* Referee letters must reach by *2 May 2022* Speakers include: - Arvind Kumar [KTH Royal Institute of Technology, Sweden] - Gilad Silberberg [Karolinska Institutet, Sweden] - Kim 'Avrama' Blackwell [George Mason University, USA] - Peter Dayan [Max Planck Institute for Biological Cybernetics, Germany] - Raffaella Tonini [Istituto Italiano di Tecnologia, Italy] - Rishikesh Narayanan [Indian Institute of Science, Bangalore] - Sho Yagishita [University of Tokyo, Japan] - Srikanth Ramaswamy [Newcastle University, UK] - Upinder Bhalla {National Centre for Biological Sciences, Bangalore] - Vatsala Thirumalai [National Centre for Biological Sciences, Bangalore] Thank you, Course Organizers CAMP 2022 Arvind Kumar | Rishikesh Narayanan | Upinder S. Bhalla -- Dr. Arvind Kumar Computational Brain Science, Div. of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm Lindstedtsv?gen 5. Room#4439 114 28 Stockholm, Sweden. Ph. No. +46-8790-6224 Web: https://www.kth.se/profile/arvindku/ https://arvkumar.github.io/ cricket blog: http://rightarmoverfast.blogspot.com -------- ? ?? ???????? ? ??????????? ? ??????? ???? ? ????????? ???? ?????????????? ????????? ? ????????? ? ??????? ?????? - ?. He who has no pleasure in questioning, nor in debate, nor in dialogue, Defend us to-day from him and from his encounter, defend us from his arms. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nagai.yukie at mail.u-tokyo.ac.jp Thu Apr 7 07:39:37 2022 From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp) Date: Thu, 7 Apr 2022 11:39:37 +0000 Subject: Connectionists: Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo Message-ID: <3B329A25-41FE-42DD-A462-994A81F46F63@mail.u-tokyo.ac.jp> Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. We design computational neural networks inspired by the human brain and examine what enables the networks to acquire human-like intelligence. Please send the required documents if you are interested in being considered. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / One or two 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2022 3. Renewable The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie at ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie at ircn.jp ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp From antonio.miranda at bsc.es Thu Apr 7 09:12:36 2022 From: antonio.miranda at bsc.es (Antonio Miranda) Date: Thu, 7 Apr 2022 15:12:36 +0200 Subject: Connectionists: CFP LivingNER shared task: Named entity recognition, normalization & classification of species, pathogens and food Message-ID: (Apologies for cross-posting) Call for Participation LivingNER Shared Task (IberLEF2022) Named entity recognition, normalization & classification of species, pathogens and food https://temu.bsc.es/livingner/ LivingNER is the first track focusing specifically on the automatic detection of species mentions (humans, plants, animals, insects, pathogens), as well as their normalization to species taxonomy concepts (NCBI Taxonomy @https://www.ncbi.nlm.nih.gov/taxonomy). The detection, grounding, and classification of species mentions from documents is highly relevant for a diversity of real-world applications in medicine, biology, biodiversity, nutrition, and pharmacology. For instance, it represents a key component for text mining applied to: - Pathogens and tropical diseases (and their mode of transmission) - animal caused injuries, bites, etc. on humans - pets and farm animals (incl. health-related issues related to them) - microorganisms, antibiotic resistance, microbiome - hospital-acquired or nosocomial infections - allergies and food (incl. diets, intoxications, certain toxic habits, drug-food interactions) - epidemiology and family history (incl. close contacts, cohabitants, and relatives) - etc. The LivingNER track organizers will also release multilingual resources to stress the clear potential for multilingual adaptation of participating systems including and beyond English content (due to the use of universal scientific species nomenclatures). Following the success of previously organized shared tasks (i.e. CANTEMIST, PharmaCoNER, or MEDDOCAN), we are now launching the LivingNER shared task as part of the IberLEF 2022 evaluation initiative (co-located with SEPLN 2022), with the following three sub-tracks: - LivingNER-Clinical NER: automatic detection of mentions of species (both human and non-human). - LivingNER-Species Norm: finding mentions of species and mapping them to their corresponding NCBI taxonomy concept identifiers. - LivingNER-Clinical IMPACT: classifying documents according to 4 axes of clinical relevance (pets/farm animals, animal causing injuries, food, and nosocomial) and retrieving the evidence supporting the classification. Key information: - Web: https://temu.bsc.es/livingner/ - Data: https://doi.org/10.5281/zenodo.6376662 - Annotation guidelines: https://doi.org/10.5281/zenodo.6385162 - Registration: https://temu.bsc.es/livingner/registration/ - LivingNER vocabulary: https://doi.org/10.5281/zenodo.6390506 - Machine Translated Data (for multilingual purposes): https://doi.org/10.5281/zenodo.6376662 Schedule - Test set release (start of evaluation period): April 22nd, 2022 - End of the evaluation period (system submissions): May 22nd, 2022 - Working papers submission: June 17th, 2022 - Notification of acceptance (peer-reviews): June 26th, 2022 - Camera-ready system descriptions: July 3rd, 2022 - IberLEF @ SEPLN 2022: September 2022 Publications and IBERLEF/SEPLN2022 workshop Teams participating in LivingNER will be invited to contribute a systems description paper for the IberLEF (SEPLN 2022) Working Notes proceedings and a short presentation of their approach at the IberLEF 2022 workshop. Main Organizers - Martin Krallinger, Barcelona Supercomputing Center, Spain - Eul?lia Farr?, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Antonio Miranda-Escalada, Barcelona Supercomputing Center, Spain -- *Antonio Miranda* Biomedical Engineer at Barcelona Supercomputing Center *Phone: 0034 649227310* *Location: Madrid**, Spain* -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Thu Apr 7 09:27:18 2022 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Thu, 7 Apr 2022 13:27:18 +0000 Subject: Connectionists: NEST Conference 2022 - call for contributions is open Message-ID: <94FA2CAD-15D9-4D4E-8A72-757753C3EBB7@nmbu.no> Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2022. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We explicitly encourage young scientists to participate in the conference! This year's conference will again take place as a virtual conference on Thursday/Friday 23/24 June 2022. Submission of contributions is now open! We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. Please register and submit your contribution(s) via the conference website https://nest-simulator.org/conference. Important dates 30 April 2022 - Deadline for NEST Initiative membership applications eligible for fee reduction 11 May 2022 - Deadline for submission of contributions 03 June 2022 - Notification of acceptance 17 June 2022 - Registration deadline 23 June 2022 - NEST Conference 2022 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Soltoggio at lboro.ac.uk Thu Apr 7 09:15:44 2022 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Thu, 7 Apr 2022 13:15:44 +0000 Subject: Connectionists: PhD and postdoc positions in distributed lifelong learning / RL Message-ID: Dear All, I would like to advertise a Ph.D. and a postdoc position in my research group at Loughborough University to work on distributed lifelong learning / reinforcement learning, with a particular focus on neuro-modulatory approaches. If interested, please email me. Best regards, Andrea Soltoggio Further additional links to our latest news and papers: https://www.azorobotics.com/News.aspx?newsID=12518 https://www.nature.com/articles/s42256-022-00452-0.epdf https://openreview.net/forum?id=BJge3TNKwH https://arxiv.org/abs/1703.10371 Details. This new field of AI seeks to create machines that learn during a lifetime similarly to biological brains. This research continues and advances recent progress from the DARPA projects Lifelong Learning Machines (L2M) and Shared Experience Lifelong Learning (ShELL). The researchers will join a growing research group of Ph.D. students and postdocs working in the same area, and have access to the latest computational devices such as Nvidia A100 cards. Collaboration opportunities with world-leading AI laboratories will be encouraged and supported. Loughborough University Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you?ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career. -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio at lboro.ac.uk Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Thu Apr 7 15:38:53 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Fri, 8 Apr 2022 01:08:53 +0530 Subject: Connectionists: SI-EAAI (Impact Factor=6.2) on "Randomization-based learning methods" Message-ID: *Call for Papers* *Journal: Engineering Applications of Artificial Intelligence, Elsevier (IF: 6.2)* *Special Issue Title: Randomized Deep and Shallow Learning Algorithms* *We welcome submissions on non-randomized algorithms with significant comparisons against randomized algorithms too.* *Aim and Scope:* Randomization-based learning algorithms have received considerable attention from academics, researchers, and domain workers because randomization-based neural networks can be trained by non-iterative approaches possessing closed-form solutions. Those methods are in general computationally faster than iterative solutions and less sensitive to parameter settings. Even though randomization-based non-iterative methods have attracted much attention in recent years, their deep structures have not been sufficiently developed nor benchmarked. This special issue aims to bridge this gap. The first target of this special issue is to present the recent advances of randomization- based learning methods. Randomization based neural networks usually offer non-iterative closed form solutions. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on randomization-based and/or non-iterative algorithms, it is also expected that this special issue will cover some practical applications, present some new ideas and identify directions for future studies. Original contributions as well as comparative studies among randomization-based and non-randomized-based methods are welcome with unbiased literature review and comparative studies. Typical deep/shallow paradigms include (but not limited to) random vector functional link (RVFL), echo state networks (ESN), liquid state networks (LSN), kernel ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), CNN with randomization, broad learning system (BLS), stochastic configuration network (SCN) and so on. All contributions must include sufficient application contents. *Topics:* The topics of the special issue include (with randomization-based methods), but are not limited to: l Randomized convolutional neural networks l Randomized internal representation learning l Regression, classification and time series analysis by randomization-based methods l Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. with randomization l Feedforward, recurrent, multilayer, deep and other structures with randomization l Ensemble learning with randomization l Moore-Penrose pseudo inverse, SVD and other solution procedures. l Gaussian process regression l Randomization-based methods using novel fuzzy approaches l Randomization-based methods for large-scale problems with and without kernels l Theoretical analysis of randomization-based methods l Comparative studies with competing methods without randomization l Applications of randomized methods and information fusion in areas such as power systems, biomedical, finance, economics, signal processing, big data and all other relevant areas *Submission Guideline:* Papers should be submitted using EAAI?s online submission system: https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence. When submitting your manuscript please select the article type "SI: Randomization-based learning algorithms". *Important Dates* ? Manuscript submission due: April 30, 2022 ? First review completed: July 15, 2022 ? Revised manuscript due: Aug 15, 2022 ? Final decisions to authors: Oct 30, 2022 *Guest Editors:* *Dr. P.N. Suganthan, IEEE Fellow* School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore Email: epnsugan at ntu.edu.sg Website: https://www3.ntu.edu.sg/home/epnsugan/ *Dr. M. Tanveer, IEEE Senior Member* Department of Mathematics, Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Website: http://iiti.ac.in/people/~mtanveer/ *Prof. Chin-Teng Lin, IEEE Fellow, IFSA Fellow* Director, Computational Intelligence and Brain Computer Interface Centre Co-Director, Centre for AI (CAI) University of Technology Sydney, Australia Email: Chin-Teng.Lin at uts.edu.au ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Thu Apr 7 15:41:11 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Fri, 8 Apr 2022 01:11:11 +0530 Subject: Connectionists: SI - COGN (IF: 5.42) on Advances in Multi-modal Deep and Shallow Neural Networks for Neuroimaging Applications Message-ID: *Call for Papers* *Journal: Cognitive Computation, Springer (IF: 5.42)* *Special Issue Title: Advances in Multi-modal Deep and Shallow Neural Networks for Neuroimaging Applications* *We welcome your submissions.* Aim and Motivation: Over the past few decades, there has been an exponential increase in the volume, veracity and variety of multi-modal Big data generated from medical imaging applications. This has led to growing challenges for machine learning researchers to effectively extract hidden features and reduce artifacts automatically from images, in order to enhance disease classification, diagnosis, prognosis, segmentation and risk assessment (such as ionizing radiation exposure and side effect of contrast agents). Most existing solutions to these problems are suboptimal owing to risks associated with model training that often lead to inaccurate image acquisition and analysis on account of e.g. overfitting, noise in image, class imbalance and inappropriate features selection. Hence, automated and reliable quality control in medical imaging is a crucial factor for future widespread clinical deployment of machine learning based solutions. In the context of neuroimaging applications, neuroimaging scans are being increasingly and contextually used, along with social, clinical and laboratory data, to detect and diagnose neurological diseases, such as Alzheimer?s disease, Multiple sclerosis, Parkinson?s disease etc. The sources of neuroimaging modalities are from a wide variety of clinical settings, including electrocardiography (ECG), electroencephalography (EEG), magnetic resonance imaging (MRI), functional MRI (fMRI), positron emission tomography (PET). Recent literature has shown the potential of deep and shallow neural network-based multimodal learning algorithms to address a range of neuroimaging challenges on account of their automatic multimodal feature selection, learning and generalisation capabilities. This timely special issue aims to bring together world-leading cutting-edge research (from both academia and industry) on multimodal neural network algorithms, including integrated deep and shallow models, that can increase the diagnosis and prognosis accuracy in analysis of neuroimaging Big data. Topics: Topics include but are not limited to: - Multimodal deep neural networks - Multimodal shallow neural networks - Integrated deep and shallow models for multimodal learning - Real-time segmentation, clustering and classification - Sparse, interpretable and privacy preserving data analytics - Real-time Image acquisition, resolution, registration and production - Automated multimodal artifacts reduction in neuroimaging Automated quality assessment and clinical validation models - Emerging multimodal neuroimaging applications Deadlines: Submissions deadline: April 30, 2022 First notification of acceptance: June 30, 2022 Submission of revised papers: August 30, 2022 Final notification to authors: October 30, 2022 Rolling publication of special issue: late 2022/early 2023 Guest Editors: M. Tanveer (Coordinator), Indian Institute of Technology Indore, India, Email: mtanveer at iiti.ac.in Chin-Teng Lin, University of Technology Sydney, Australia, Email: Chin-Teng.Lin at uts.edu.au Yu-dong Zhang, University of Leicester (UK), Email: yudongzhang at ieee.org Kaizhu Huang, Xi?an Jiaotong-Liverpool University, China, Email: kh476 at duke.edu ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe.cfp at gmail.com Thu Apr 7 13:00:53 2022 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Thu, 7 Apr 2022 19:00:53 +0200 Subject: Connectionists: Special session on "Intelligent solutions for cybersecurity systems", CISIS 2022, Salamanca (Spain) Message-ID: <98D9114F-F539-48E7-AE60-45C3D17DB4C9@gmail.com> Call for Papers: "Intelligent solutions for cybersecurity systems" Special Session of the 15th International Conference on Computational Intelligence in Security for Information Systems ? CISIS 2022 6 - 8th September 2022, Salamanca, Spain Conference website: http://www.2022.cisisconference.eu Papers submission deadline: April 30th, 2022. Acceptance notification: May 20th, 2022. Submission instructions: http://www.2022.cisisconference.eu/paper-submission-publication/ All the accepted papers of CISIS conference (submitted both to the general track and the special sessions) will be considered for its possible inclusion in a special issue of the Logic Journal of the IGPL (Q1). Description In recent years, the fast growth in technology has drastically increased the amount of data generated by people and communication services. We are currently living in a digitalized world in which information and processes come in digital form where new security threats and actors appear thus being mandatory to account for cybersecurity systems. In parallel, Artificial Intelligence (AI) is now being used everywhere in our life, from consumer electronics, vehicles, and smart systems in offices and factories, to various cloud services on the Internet. AI, in particular Machine Learning (ML) and Deep Learning (DL) techniques, are now becoming key technologies that support our lives and society. In this sense, AI arises as a powerful tool, not only to gain insights from data but also to ensure privacy and security of the information and communication services. Additionally, these technologies also increase the chances of being targeted by cyberattacks, thus requiring the development of cutting-edge smarter approaches which help minimise the exposure of our living infrastructure, property, and privacy. This session welcomes recent contributions in all areas connected to machine learning and cybersecurity addressing related issues including, but not limited to: Data security and privacy. Smart security control. Adversarial machine learning. Robustness and resiliency of AI models. XAI (Explainable AI) in cybersecurity. Privacy preserving machine learning. Federated learning for cybersecurity. Data visualisation and visual analytics for cybersecurity. Zero-day attack detection and reaction. Deep learning for cybersecurity. Data fusion methods. Datasets? integration. Cybersecurity forensic analysis. Business Intelligence and Security. Privacy-enhancing technologies and anonymity. AI-based SOARs (Security Orchestration, Automation & Response). AI-based EDRs (End-point Detection and Response). AI-based IDSs (Intrusion Detection Systems). AI-based IRSs (Intrusion Response Systems). AI for cybersecurity. Cybersecutiry for AI-based models: threats, attack generation and countermeasures. AI, Ethics and Law. Papers reporting industry experiences, practical applications and case studies are welcomed in this special session. Special Session Organizers: Dr. Daniel Urda Mu?oz, Universidad de Burgos, Spain, durda at ubu.es Dr. Roberto Mag?n Carri?n, Universidad de Granada, Spain, rmagan at ugr.es Dr. Bernab? Dorronsoro, Universidad de C?diz, Spain, bernabe.dorronsoro at uca.es Dr. Meelis Kull, University of Tartu, Estonia, meelis.kull at ut.ee -------------- next part -------------- An HTML attachment was scrubbed... URL: From davy.weissenbacher at gmail.com Thu Apr 7 14:23:25 2022 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Thu, 7 Apr 2022 14:23:25 -0400 Subject: Connectionists: CFP: #SMM4H'22, 7th Social Media Mining for Health Applications - Workshop & Shared Task at COLING 2022 Message-ID: ============================= First call for *papers*, submission deadline is August 15, 2022 First call for *shared task* participation, evaluation period starts July 11, 2022 ============================= *Apologies if you received multiple copies of this CFP* *Location:* Gyeongju, Republic of Korea *Workshop Date:* October 16-17, 2022 *Important links:* Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/ Submission link: TBA The workshop will include two components ? a standard workshop and a shared task *Workshop* The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index), invites 4-page paper (unlimited references in standard COLING format) submissions on original, unpublished research in all aspects at the intersection of social media mining and health. Topics of interest include, but are not limited to: - Methods for the automatic detection and extraction of health-related concept mentions in social media - Mapping of health-related mentions in social media to standardized vocabularies - Deriving health-related trends from social media - Information retrieval methods for obtaining relevant social media data - Geographic or demographic data inference from social media discourse - Virus spread monitoring using social media - Mining health-related discussions in social media - Drug abuse and alcoholism incidence monitoring through social media - Disease incidence studies using social media - Sentinel event detection using social media - Semantic methods in social media analysis - Classifying health-related messages in social media - Automatic analysis of social media messages for disease surveillance and patient education - Methods for validation of social media-derived hypotheses and datasets *Shared task* The workshop organizers this year are hosting 10 shared tasks i.e. NLP challenges as part of the workshop. Participating teams will be provided with a set of annotated posts for developing systems, followed by a three-day window during which they will run their systems on unlabeled test data and upload it to Codalab for evaluation. For additional details about the tasks and information about registration, data access, paper submissions, and presentations, go to https://healthlanguageprocessing.org/smm4h-2022/ - Task 1 ? Classification, detection, and normalization of Adverse Events (AE) mentions in tweets (in English) - Task 2 ? Classification of stance and premise in tweets about health mandates related to COVID-19 (in English) - Task 3 ? Classification of changes in medication treatments in tweets and WebMD reviews (in English) - Task 4 ? Classification of tweets self-reporting exact age (in English) - Task 5 ? Classification of tweets containing self-reported COVID-19 symptoms (in Spanish) - Task 6 ? Classification of tweets which indicate self-reported COVID-19 vaccination status (in English) - Task 7 ? Classification of self-reported intimate partner violence on Twitter (in English) - Task 8 ? Classification of self-reported chronic stress on Twitter (in English) - Task 9 ? Classification of Reddit posts self-reporting exact age (in English) - Task 10 ? Detection of disease mentions in tweets ? SocialDisNER (in Spanish) *Organizing Committee* Graciela Gonzalez-Hernandez, University of Pennsylvania, USA Davy Weissenbacher, University of Pennsylvania, USA Arjun Magge, University of Pennsylvania, USA Ari Z. Klein, University of Pennsylvania, USA Ivan Flores, University of Pennsylvania, USA Karen O?Connor, University of Pennsylvania, USA Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland Lucia Schmidt, Roche Pharmaceuticals, Switzerland Juan M. Banda, Georgia State University, USA Abeed Sarker, Emory University, USA Yuting Guo, Emory University, USA Yao Ge, Emory University, USA Elena Tutubalina, Insilico Medicine, Hong Kong Luis Gasco, Barcelona Supercomputing Center, Spain Darryl Estrada, Barcelona Supercomputing Center, Spain Martin Krallinger, Barcelona Supercomputing Center, Spain *Contact* All questions should be emailed to Davy Weissenbacher ( dweissen at pennmedicine.upenn.edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.crimi at sanoscience.org Thu Apr 7 11:28:09 2022 From: a.crimi at sanoscience.org (Alex Crimi) Date: Thu, 7 Apr 2022 15:28:09 +0000 Subject: Connectionists: Postdoc on Recurrent neural networks for brain time series Message-ID: Dear all, we are hiring a post-doctoral researcher bridging fMRI/EEG and recurrent artificial neural networks. What we offer: * A nice warm environment in a young multi-disciplinary team * A gross monthly salary of 14k-15k PLN * Related scientific adventures What you should ideally have: * recent or pending PhD in relevant field of science (computer science/biomedical engineering or related fields); * at least one first-author research publication in a peer-reviewed scientific journal, top conference or currently in press (e.g. Neuroimage, Nature Methods, Nature Communications, Nature Scientific Reports, PloS, IEEE TMI; * Python programming, medical imaging experience (preferably in 3D or 4D), statistics; * knowledge of time series signal as fMRI, EEG or fNIRS; * excellent written and oral English communication skills; Nice to have * additional assets: knowledge of brain anatomy and related tools (Dipy, FSL, etc), experince in circuit design or electronics DIY (Arduino, RaspberryPi, Jetson, etc). For technical reasons priority is given to EU/Ukraine citizens. In case of equal qualification, priority will be given to female candidates. Apply here: https://sano.science/job-offers/recurrent-neural-networks-for-brain-time-series/ Best, Alex ----------------------------------------------------------------------------------------- I send emails at unusual times, I don't expect immediate response ----------------------------------------------------------------------------------------- Dr. Alessandro Crimi Research Group Leader https://bam.sano.science [cid:267bf257-2410-4693-ab7d-8274b526f3fb] Centre for Computational Medicine Czarnowiejska 36, building C5. 30-072 Krak?w, Poland Phone: +48 575 455 016 www.sano.science ----------------------------------------------- Visiting Lecturer African Institute for Mathematical Sciences www.aims.edu.gh --------------------------------------------------------- https://twitter.com/Dr_Alex_Crimi -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-ubjqi4jf.png Type: image/png Size: 12229 bytes Desc: Outlook-ubjqi4jf.png URL: From M.Goodfellow at exeter.ac.uk Fri Apr 8 05:07:37 2022 From: M.Goodfellow at exeter.ac.uk (Goodfellow, Marc) Date: Fri, 8 Apr 2022 09:07:37 +0000 Subject: Connectionists: Funded PhD in large-scale brain modelling In-Reply-To: References: Message-ID: <3e5af650-c69e-2f81-4bde-54788c04d5e9@exeter.ac.uk> Dear Colleagues, We are offering a funded PhD studentship at the University of Exeter, aiming to advance methods for modelling and understanding large-scale brain dynamics. The successful candidate will be part of an interdisciplinary team, based across the Living Systems Institute, the department of Mathematics, as well as Psychology. They will be part of a vibrant community of researchers focussed on the development of mathematical methods to improve our understanding of the brain in health and disease. I would be very grateful if you could forward the advert below to anyone who may be interested: https://www.exeter.ac.uk/study/funding/award/?id=4335 Best wishes Dr. Marc Goodfellow, University of Exeter http://emps.exeter.ac.uk/mathematics/staff/mg401 -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Fri Apr 8 03:23:19 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Fri, 8 Apr 2022 09:23:19 +0200 Subject: Connectionists: PhD Scholarship in privacy, or fairness at the university of Neuchatel, Swizerland Message-ID: <5747e017-18cc-b5f6-6898-e4485a3e71ba@gmail.com> We are looking for a PhD student to join our group on reinforcement learning and decision making under uncertainty more generally, at the University of Neuchatel, Switzerland ( https://www.unine.ch/ ). We are particularly interested in candidates with a strong mathematical background. Prior research experience as documented by your Masters thesis is required. Within the area, we are looking for candidates with a strong research interest in the following fields - Reinforcement learning and decision making under uncertainty: 1. Exploration in reinforcement learning. 2. Decision making nuder partial information. 3. Representations of uncertainty in decision making. 4. Theory of reinforcement learning (e.g. PAC/regret bounds) 5. Bayesian inference and approximate Bayesian methods. - Social aspect of machine learning 1. Theory of differntial privacy. 2. Algorithms for differentially private machine learning. 3. Algorithms for fairness in machine learning. 4. Interactions between machine learning and game theory. 5. Inference of human models of fairness or privacy. The main supervisor will be Christos Dimitrakakis < https://sites.google.com/site/christosdimitrakakis > Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). Excellent technical skills in calculus, linear algebra, probability as well as competence in at least one programming language is expected. In addition,the doctoral student must have a strong background, as evidenced by their master thesis, in one of the following areas: 1. Fairness. 2. Privacy. 3. Reinforcement learning. 4. Game theory. 5. Economics. 6. Statistical inference. >>>> Application Information <<<<< *Starting date* 1 September 2022 or soon afterwards. *Application deadline* 31 May 2022. The PhD is fully funded, and normally lasts 4 years, with approximate 25% of the time as a teaching assistant. To apply sen an email to christos.dimitrakakis at unine.ch with the subject 'PhD Neuchatel'. An application must include: 1. A statement of research interests and motivation relevant to the position. 2. A CV with a list of references. 3. Your MSc thesis (or a draft) or another research work demonstrating your academic writing. 4. A degree transcript. From mtanveer at iiti.ac.in Fri Apr 8 15:59:18 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Sat, 9 Apr 2022 01:29:18 +0530 Subject: Connectionists: Call for Papers - ICONIP 2022 Message-ID: CALL FOR PAPERS 29th International Conference on Neural Information Processing (ICONIP 2022) November 22-26, 2022 New Delhi, India https://www.iconip2022.apnns.org/ Dear Colleague, We would like to invite you to submit your paper to the 29th International Conference on Neural Information Processing (ICONIP 2022), New Delhi, India, November 22-26, 2022. Flyer of the call for paper is attached with this email. - The conference website: https://iconip2022.apnns.org/index.php - Submission Page: https://easychair.org/conferences/?conf=iconip2022 ICONIP is the annual flagship conference organized by the Asia Pacific Neural Network Society (APNNS). ICONIP 2022 aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievement, through its regular sessions, special sessions, tutorials, and workshops. Topics of interest include but are not limited to: *A. Theory and Algorithms* - Causality and explainable AI - Computational intelligence - Control and decision theory - Constraint and uncertainty theory - Machine learning - Neurodynamics - Neural network models - Optimization - Pattern recognition - Time series analysis *B. Computational and Cognitive Neurosciences* - Affective and cognitive learning - Biometric systems/interfaces - Brain-machine interface - Computational psychiatry - Decision making and control - Neuroeconomics - Neural data analysis - Reasoning and consciousness - Sensory perception - Social cognition *C. Human Centred Computing* - Bioinformatics - Biomedical information - Healthcare - Human activity recognition - Human-centred design - Human?computer interaction - Neuromorphic hardware - Recommender systems - Social networks - Sports and rehabilitation *D. Applications* - Big data analysis - Computational finance - Image processing and computer vision - Data mining - Information security - Information retrieval - Multimedia information processing - Natural language processing - Robotics and control - Web search and mining ICONIP 2022 will deliver keynote speeches, invited talks, full paper presentations, posters, tutorials, workshops, social events, etc. Like previous years, the Proceedings are proposed to be published in the Springer series of Lecture Notes in Computer Science (LNCS) and Communications in Computer and Information Science (CCIS). Selected papers will be published in a special issue of an SCI journal. *Important dates:* - Submission of papers: 11:59pm (AoE), June 15, 2022 - Acceptance notification: 11:59pm (AoE), August 15, 2022 - Camera ready: 11:59pm (AoE), August 31, 2022 - Conference date: 11:59pm (AoE), November 22-26, 2022 Thank you so much for your kind support in this conference. If you have any queries, please contact us: iconip2022 at gmail.com Sincerely, M. Tanveer and Sonali Agarwal General Chairs - ICONIP 2022 ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CallForPapers-ICONIP 2022.pdf Type: application/pdf Size: 637887 bytes Desc: not available URL: From mtanveer at iiti.ac.in Fri Apr 8 16:02:19 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Sat, 9 Apr 2022 01:32:19 +0530 Subject: Connectionists: Call for Tutorials - ICONIP 2022 Message-ID: Dear Colleague, The 29th International Conference on Neural Information Processing (ICONIP 2022) invites proposals for tutorials on core topics or emerging and growing topics of neural networks, such as deep learning and brain-inspired research. Tutorials should be of interest to a substantial portion of the neural network community and represent a sufficiently mature area of research or practice. The tutorial speakers should be scientists or professionals with significant expertise. Each accepted tutorial will be approximately two hours long. Proposals should be no more than five pages submitted in PDF format. Each proposal should be structured to provide the following information: - *Title* - *Abstract *(up to 300 words) - *Description and outline: *Please provide an outline of what you plan to cover, including references and details on how much time you will spend on each topic. Note that tutorials should provide a balanced overview of a research area and should not focus more on their organization's results, tools, or products. - *Target audience:* Who is the target audience? What background do you expect attendees to have? - *Presenters: *Please include the names and email addresses of the presenters, along with brief bios and a description of each presenter's expertise in the tutorial area. If there are multiple presenters, please describe how the time will be divided between them. All presenters listed in the proposal are expected to attend. - *Previous tutorials:* Has the tutorial (or a similar/highly related tutorial) been presented at another venue? Please list the dates and venues, and describe the similarities and differences between the previous tutorials and the proposed tutorial. - *Links *to video recordings of the presenters' previous talks if you have. Researchers interested in presenting a tutorial at ICONIP 2022 are invited to submit a formal proposal no more than 5 pages as a single PDF file to the tutorial chairs. - * Deadline for proposals: *11:59 PM (AoE), June 25, 2022 - *Notification of proposals: *11:59 PM (AoE), July 10, 2022 Proposals will be reviewed and approved on a first-come, first-served basis. *Tutorial Chairs:* - Swagatam Das *(swagatam.das at isical.ac.in )*, ISI Kolkata, India - Parta Pratim Roy *(partha at cs.iitr.ac.in )*, IIT Roorkee, India - Hussein Abbass *(h.abbass at unsw.edu.au )*, University of New South Wales, Australia All proposals should be submitted to Tutorial Chairs and cc to *iconip2022 at gmail.com .* Sincerely, M. Tanveer and Sonali Agarwal General Chairs - ICONIP 2022 ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CallForTutorials-ICONIP 2022.pdf Type: application/pdf Size: 637983 bytes Desc: not available URL: From mtanveer at iiti.ac.in Fri Apr 8 16:04:35 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Sat, 9 Apr 2022 01:34:35 +0530 Subject: Connectionists: Call for Special Sessions - ICONIP 2022 Message-ID: *Call for Special Sessions * The 29th International Conference on Neural Information Processing (ICONIP 2022) invites proposals for special sessions in which participants are encouraged to submit and disseminate their latest research outcomes on specific topics relevant to neural information processing, e.g., the emerging and growing areas as well as the future trends of neural networks. The special session organizers are expected to be researchers from academia, industry or governmental sectors with significant expertise in the relevant fields. Researchers interested in organizing special sessions at ICONIP 2022 are invited to submit a proposal with no more than 5 pages as a single PDF file to special session chairs. The proposal should include the following information: - Special session title - Brief description of the proposed special session (incl. the scope, aims, covered topics, the expected number of submissions, and special session program committee members) - Organizers and their short bios (please indicate one of the organizers as the primary contact) - Website of the proposed special session (optional) If the proposed special session has been organized in previous ICONIP conferences, please provide the information about the attendance and outcomes in previous events and explain why a new event is necessary. All proposals should be submitted by no later than the deadline. Early submission is highly encouraged. Please contact special session chairs for any inquiries. - *Deadline for proposals*: 11:59pm (AoE), May 31, 2022 - *Notification of proposals:* Proposals will be reviewed and approved on a first-come, first-served basis. Special Session Chairs: Kai Qin, Swinburne University of Technology, Australia, Email: kqin at swin.edu.au Kaizhu Huang, Duke Kunshan University, China, Email: kaizhu.huang at dukekunshan.edu.cn Amit Kumar Singh, NIT Patna, India, Email: amit.singh at nitp.ac.in *All proposals should be submitted to Special Session Chairs and cc to iconip2022 at gmail.com .* ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CallForSS-ICONIP 2022.pdf Type: application/pdf Size: 638182 bytes Desc: not available URL: From tat at tchumatchenko.de Fri Apr 8 10:54:08 2022 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Fri, 8 Apr 2022 16:54:08 +0200 Subject: Connectionists: Postdoc and PhD positions open in the Tchumatchenko group Message-ID: Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD projects are currently open: A project exploring the intersection of protein dynamics and machine learning www.tchumatchenko.de/2022_PhD_position.pdf An additional PhD and postdoctoral positions will address the relation between neurological diseases, protein dynamics and network activity. www.tchumatchenko.de/A_PhD_and_Postdoc_positions_April2022.pdf When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko at uni-mainz.de https://twitter.com/TTchumatchenko www.tchumatchenko.de From steve at bu.edu Fri Apr 8 21:07:36 2022 From: steve at bu.edu (Grossberg, Stephen) Date: Sat, 9 Apr 2022 01:07:36 +0000 Subject: Connectionists: Neural model of brain dynamics of music: Lyrics, melodies, rhythms, and beats In-Reply-To: References: , Message-ID: Dear Colleagues, I have published a new article about the brain dynamics of music: Grossberg, S. (2022). Towards understanding the brain dynamics of music: Learning and conscious performance of lyrics and melodies with variable rhythms and beats. Frontiers in Systems Neuroscience, April 8, 2022. https://doi.org/10.3389/fnsys.2022.766239 This article shows how neural models that I recently published in my Magnum Opus can help to understand music and its links to other brain processes: Grossberg, S. (2021). Conscious Mind, Resonant Brain: How Each Brain Makes a Mind. New York: Oxford University Press. https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 https://global.oup.com/academic/product/conscious-mind-resonant-brain-9780190070557?cc=us&lang=en& Best, Steve Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve at bu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From kwimmer at crm.cat Fri Apr 8 10:49:00 2022 From: kwimmer at crm.cat (Klaus Wimmer) Date: Fri, 8 Apr 2022 16:49:00 +0200 Subject: Connectionists: Final reminder: EMBO Practical Course - Barcelona summer school for Advanced Modelling of Behavior (BAMB!) Message-ID: Applications for the Barcelona summer school for Advanced Modelling of Behavior (BAMB!) are open until April 13. BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply. The school is anEMBO Practical Course and is organized by the Centre de Recerca Matem?tica. A limited number of travel grants will be available from EMBO. Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (CRM, Barcelona) M?t? Lengyel (Cambridge) Zhaoping Li (T?bingen) Alfonso Renart (Champalimaud) Marion Rouault (ENS Paris) Kim Stachenfeld (Deepmind) Chris Summerfield (Oxford / Deepmind) MH Tessler (Deepmind) Klaus Wimmer (CRM, Barcelona) Dates and location: September 1-8, downtown Barcelona, Spain Applications are open until April 13. -- Klaus Wimmer Ram?n y Cajal researcher at Centre de Recerca Matem?tica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) Spain Tel. +34 935 86 85 15 https://sites.google.com/view/wimmerlab www.clisyne.org CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matem?tica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo at crm.cat. -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 9 11:41:48 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 9 Apr 2022 17:41:48 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Summer: early registration May 8 Message-ID: <230113071.2131653.1649518908391@webmail.strato.com> ****************************************************************** 6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2022 Summer Las Palmas de Gran Canaria, Spain July 25-29, 2022 https://irdta.eu/deeplearn/2022su/ ***************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: May 8, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimar?es. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/index.php?option=com_k2&view=item&layout=item&id=360&Itemid=896 STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning -- A Paradigm Shift in Human Thought!? Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning PROFESSORS AND COURSES: T?lay Adal? (University of Maryland Baltimore County), [intermediate] Data Fusion Using Matrix and Tensor Factorizations Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation Dumitru Erhan (Google), [intermediate/advanced] Visual Self-supervised Learning and World Models Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding Yan Liu (University of Southern California), [introductory/intermediate] Deep Learning for Time Series Analysis Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications Clara I. S?nchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare Bj?rn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks [virtual] Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Csaba Szepesv?ri (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality * Murat Tekalp (Ko? University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 17, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. ORGANIZING COMMITTEE: Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Sun Apr 10 11:49:36 2022 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sun, 10 Apr 2022 17:49:36 +0200 Subject: Connectionists: ACDL 2022, 5th Online & Onsite Advanced Course on Data Science & Machine Learning | August 22-26, 2022 | Certosa di Pontignano, Italy - Early Registration: by April 23 In-Reply-To: References: Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * #ACDL2022, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders (Online attendance available) Certosa di Pontignano, Castelnuovo Berardenga (Siena) - #Tuscany, Italy August 22-26 https://acdl2022.icas.cc acdl at icas.cc ACDL 2022 (as ACDL 2021 and ACDL 2020): an #OnlineAndOnsiteCourse https://acdl2022.icas.cc/acdl-2022-as-acdl-2021-and-acdl-2020-an-online-onsite-course/ EARLY REGISTRATION: by April 23 https://acdl2022.icas.cc/registration/ DEADLINES: Early Registration: by April 23 (AoE) Oral/Poster Presentation Submission Deadline: April 23 (AoE) Late Registration: from Thursday April 24 Accommodation Reservation at Reservation at the Certosa di Pontignano: by July 20 Notification of Decision for Oral/Poster Presentation: by Thursday June 23 LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. https://acdl2022.icas.cc/lecturers/ ?iga Avsec, DeepMind, London, UK Roman Belavkin, Middlesex University London, UK Alfredo Canziani, New York University, USA Alex Davies, DeepMind, London, UK Edith Elkind, University of Oxford, UK Marco Gori, University of Siena, Italy Danica Kragic Jensfel, Royal Institute of Technology, Sweden Yukie Nagai, The University of Tokyo, Japan Panos Pardalos, University of Florida, USA Silvio Savarese Salesforce & Stanford University, USA Mihaela van der Schaar, University of Cambridge, UK More Keynote Speakers to be announced soon. PAST LECTURERS: https://acdl2022.icas.cc/past-lecturers/ SCHEDULE: https://acdl2022.icas.cc/wp-content/uploads/sites/19/2022/01/ACDL-2022-Schedule-Ver1.0.pdf VENUE: The venue of ACDL 2022 will be The Certosa di Pontignano ? Siena The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php Contact person: Dr. Lorenzo Pasquinuzzi https://acdl2022.icas.cc/venue/ PAST EDITIONS: https://acdl2022.icas.cc/past-editions/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz https://acdl2021.icas.cc REGISTRATION: https://acdl2022.icas.cc/registration/ ACDL 2022 POSTER: https://acdl2022.icas.cc/wp-content/uploads/sites/19/2022/02/poster-ACDL-2022.png Anyone interested in participating in ACDL 2022 should register as soon as possible. Similarly for accommodation at the Certosa di Pontignano (the Course Venue), book your full board accommodation at the Certosa as soon as possible. All course participants must stay at the Certosa di Pontignano. See you in 3D or 2D :) in Tuscany in August! ACDL 2022 Directors. https://acdl2022.icas.cc/category/news/ https://acdl2022.icas.cc/faq/ acdl at icas.cc https://acdl2022.icas.cc https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at gmail.com Mon Apr 11 04:17:47 2022 From: boris.gutkin at gmail.com (Boris Gutkin) Date: Mon, 11 Apr 2022 10:17:47 +0200 Subject: Connectionists: PUBLIC EVENT: Building AI for Humanity; Paris and online, 19 April Message-ID: Building AI for humanity https://neuroaiinparis.org/ai-for-humanity 7pm (Paris time) Tuesday 19th April*Amphitheatre Liard, Sorbonne. 46 Rue Saint-Jacques, Paris* *and on-line.* A public discussion with leaders in AI development, Yann LeCun (Facebook AI Research), Blaise Ag?era y Arcas (Google Research) and Yoshua Bengio (Mila Montreal), moderated by Kathinka Evers (HBP) *Registration:* *https://www.eventbrite.fr/e/billets-public-panel-building-ai-for-humanity-293261642467 * -------------- next part -------------- An HTML attachment was scrubbed... URL: From elio.tuci at gmail.com Mon Apr 11 05:13:10 2022 From: elio.tuci at gmail.com (Elio Tuci) Date: Mon, 11 Apr 2022 11:13:10 +0200 Subject: Connectionists: Two Full-time PhD positions at the University of Namur (Belgium) Message-ID: *Job description* The Faculty of Computer Science and the Department of Mathematics at the University of Namur invite applications for two doctoral students to work on the project ?AUTOMATic: AUTOnomous MAnager for urban Traffic?. This is an interdisciplinary project which aims to develop and to test, in a simulation environment, a content-aware urban traffic management system relying on a swarm of unmanned aerial vehicles (UAVs). The system is made of a group of drones that, by extracting data describing urban traffic and by operating ground-based units (e.g., traffic lights), autonomously and automatically evaluates the traffic current status; predicts its future; and mitigates or avoids undesired developments (e.g., congestion). This project is a collaboration between Prof Elio Tuci ( https://directory.unamur.be/staff/etuci), from the Faculty of Computer Science at UNamur, Prof Alexandre Mauroy ( https://directory.unamur.be/staff/mauroya) from the Department of Mathematics at UNamur, and prof Jean-No?l Colin ( https://directory.unamur.be/staff/jncolin), from the Faculty of Computer Science at UNamur. *Profiles* We are looking for two doctoral students, with different profiles: Profile A: candidate with a mathematical background The candidate should have a Master degree in applied mathematics or engineering (or equivalent), with a good background in mathematical modelling. Knowledge of traffic modelling, control theory, or network science will be considered as a plus. The candidate is also expected to demonstrate a keen interest in learning theoretical concepts and in developing practical methodologies for applications. Profile B: candidate with a computer science background The candidate should have a Master degree in sciences (or in a field judged equivalent by the selection committee) with some strong background in computer science, programming, simulation modelling. It is important that the candidate can translate ideas between disciplines, taking ideas from mathematics and implementing them in collective and swarm robotics systems. For both candidates, the appointments will be for four years, and are based in Namur, Belgium. The candidates should have good oral/written communication skills in English. French is the official language of the University of Namur. However, knowledge of French is not required to carry out the activities of this project. The candidate with profile A will join the Department of Mathematics at UNamur; the candidate with profile B will join the Faculty of Computer Science at UNamur. Both doctoral students will join the Namur Institute for Complex Systems, naXys (www.naxys.be), and the Namur Digital Institute, NADI (https://nadi.unamur.be/). The positions are open to candidates of any nationality, assuming that they possess a two-year Master degree and a three years Bachelor degree. The selected candidates will be offered an internationally competitive salary at the level of doctoral students. Funding to cover the project operating costs are offered by the University of Namur. *How to apply?* To apply for this position, please send by email a CV, a list of publications, a motivation letter (max length one page), and the names of three referees to: - Prof Alexandre Mauroy, alexandre.mauroy at unamur.be for profile A; - Prof Elio Tuci elio.tuci at unamur.be for profile B. The short-listed candidates will be contacted for an interview (possibly by videoconference). We will keep on processing applications as soon as we receive them and until a suitable candidate is found. The project starting date is October 1st, 2022. UNamur?s personnel management policy is geared towards diversity and equal opportunities. We recruit candidates on the basis of their skills, irrespective of age, gender, sexual orientation, origin, nationality, beliefs, disability, etc. *Additional Information* For further information on the project, you can contact the project coordinators: Prof Elio Tuci - elio.tuci at unamur.be Prof Alexandre Mauroy - alexandre.mauroy at unamur.be Prof Jean-No?l Colin - jean-noel.colin at unamur.be -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon Apr 11 11:46:33 2022 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 11 Apr 2022 17:46:33 +0200 Subject: Connectionists: CfP: The 8th Int. Online & Onsite Conf. on Machine Learning, Optimization & Data Science - LOD 2022, September 18-22, Certosa di Pontignano, Tuscany - Italy - Paper Submission Deadline: May 3 Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks! -- The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science ? #LOD2022 - September 18-22, Certosa di Pontignano, #Tuscany - Italy LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without Borders https://lod2022.icas.cc lod at icas.cc PAPERS SUBMISSION: May 3 (Anywhere on Earth) All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2022 LOD 2022 KEYNOTE SPEAKER(S): * Pierre Baldi, University of California Irvine, USA * J?rgen Bajorath, University of Bonn, Germany LOD 2022 TUTORIAL SPEAKER: * Simone Scardapane, University of Rome "La Sapienza", Italy ACAIN 2022 KEYNOTE SPEAKERS: * Marvin M. Chun, Yale University, USA * Ila Fiete, MIT, USA * Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging * Wulfram Gerstner, EPFL, Switzerland * M?t? Lengyel, Cambridge University, UK * Max Erik Tegmark, MIT, USA & Future of Life Institute * Michail Tsodyks, Institute for Advanced Study, USA More Lecturers and Speakers to be announced soon! https://acain2022.artificial-intelligence-sas.org/course-lecturers/ PAPER FORMAT: Please prepare your paper using the Springer Nature ? Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2022, authors are required to select one of the following four types of papers: * long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (max. 5 pages); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; * abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant, and which may solicit fruitful discussion at the conference. Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments. Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. It is also possible to present the talk virtually (Zoom). LOD 2022 Special Sessions: https://lod2022.icas.cc/special-sessions/ https://easychair.org/my/conference?conf=lod2022 PAST LOD KEYNOTE SPEAKERS: https://lod2022.icas.cc/past-keynote-speakers/ Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany J?rg Bornschein, DeepMind, London, UK Michael Bronstein, Imperial College London, UK Nello Cristianini, University of Bristol, UK Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal Marco Gori, University of Siena, Italy Arthur Gretton, UCL, UK Arthur Guez, Google DeepMind, Montreal, UK Yi-Ke Guo, Imperial College London, UK George Karypis, University of Minnesota, USA Vipin Kumar, University of Minnesota, USA Marta Kwiatkowska, University of Oxford, UK George Michailidis, University of Florida, USA Kaisa Miettinen, University of Jyv?skyl?, Finland Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany Tomaso Poggio, MIT, USA Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa Richard E. Turner, Department of Engineering, University of Cambridge, UK Ruth Urner, York University, Toronto, Canada Isabel Valera, Saarland University, Saarbr?cken & Max Planck Institute for Intelligent Systems, T?bingen, Germany TRACKS & SPECIAL SESSIONS: https://lod2022.icas.cc/special-sessions/ BEST PAPER AWARD: Springer sponsors the LOD 2022 Best Paper Award https://lod2022.icas.cc/best-paper-award/ PROGRAM COMMITTEE: https://lod2022.icas.cc/program-committee/ SCHEDULE: https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/LOD-2022-Schedule-Ver-1.pdf VENUE: https://lod2022.icas.cc/venue/ The venue of LOD 2022 will be The Certosa di Pontignano ? Siena The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php Contact person: Dr. Lorenzo Pasquinuzzi You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano. ACTIVITIES: https://lod2022.icas.cc/activities/ POSTER: https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/poster-LOD-2022-1.png Submit your research work today! https://easychair.org/conferences/?conf=lod2022 See you in the beautiful Tuscany in September! Best regards, LOD 2022 Organizing Committee LOD 2022 NEWS: https://lod2022.icas.cc/category/news/ Past Editions https://lod2022.icas.cc/past-editions/ LOD 2021, The Seventh International Conference on Machine Learning, Optimization and Big Data Grasmere ? Lake District ? England, UK. Nature Springer ? LNCS volumes 13163 and 13164. LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano ? Siena ? Tuscany ? Italy. Nature Springer ? LNCS volumes 12565 and 12566. LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano ? Siena ? Tuscany ? Italy. Nature Springer ? LNCS volume 11943. LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data Volterra ? Tuscany ? Italy. Nature Springer ? LNCS volume 11331. MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data Volterra ? Tuscany ? Italy. Springer ? LNCS volume 10710. MOD 2016, The Second International Workshop on Machine learning, Optimization and big Data Volterra ? Tuscany ? Italy. Springer ? LNCS volume 10122. MOD 2015, International Workshop on Machine learning, Optimization and big Data Taormina ? Sicily ? Italy. Springer ? LNCS volume 9432. https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ lod at icas.cc https://lod2022.icas.cc * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Mon Apr 11 16:27:25 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 11 Apr 2022 22:27:25 +0200 Subject: Connectionists: FedCSIS 2022 Data Mining Competition: Predicting the Costs of Forwarding Contracts -- Main Prize: 1000 USD In-Reply-To: <9ca3ec3c-180e-4aaa-4e40-e945723167e7@pti.org.pl> References: <9ca3ec3c-180e-4aaa-4e40-e945723167e7@pti.org.pl> Message-ID: <648e6233-188c-75b5-0a19-a669223fc146@amu.edu.pl> FedCSIS 2022 Challenge: Predicting the Costs of Forwarding Contracts https://knowledgepit.ai/fedcsis-2022-challenge/ DEADLINE FOR SUBMITTING PREDICTIONS: May 27, 2022 ORGANIZERS: Polish Information Processing Society in association with the FedCSIS Conference (fedcsis.org)and QED Software (qed.pl) SPONSOR: Control System Software (controlsystem.com.pl) THE COMPETITION: This year's data mining challenge revolves around predicting the costs related to the execution of forwarding contracts. Prepared data sets contain 6 years of orders history and details such as the type of contract, basic characteristics of the shipped goods (e.g., dimensions, special requirements), and the expected route that a driver will have to cover. THE TASK: To develop a predictive model assessing the actual costs of individual contractS as accurately as possible. KNOWLEDGEPIT: Knowledge Pit (knowledgepit.ai) is a Polish platform for organizing contests in the field of data science. It gives students and scientists from all over the world the possibility to solve real life, often business-related, problems. SCHEDULE AND DEADLINES: + March 01, 2022: start of the competition, training data become available, + May 27, 2022 (23:59 GMT): deadline for submitting the predictions, + May 29, 2022 (23:59 GMT): deadline for sending the reports, end of the competition, + June 03, 2022: online publication of the final results, sending invitations for submitting short papers for the special session at FedCSIS'22 + July 01, 2022: deadline for submitting invited papers + July 08, 2022: notification of paper acceptance + July 21, 2022: camera-ready of accepted papers, and registration to the conference due AWARDS: Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsors: * 1,000 USD for the winning solution (+ the cost of one FedCSIS 2022 registration) * 500 USD for the 2nd place solution (+ the cost of one FedCSIS 2022 registration) * 250 USD for the 3rd place solution (+ the cost of one FedCSIS 2022 registration) Moreover, Control System Software may award an additional prize (250 USD + the cost of one FedCSIS 2022 registration) to the team that develops the most practical solution to the task. REGISTER HERE: https://knowledgepit.ai/fedcsis-2022-challenge/ CONTACT KnowledgePit Team at: contact at knowledgepit.ai Please feel free to forward this announcement to your colleagues and associates who could be interested in it. -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From T.Nowotny at sussex.ac.uk Mon Apr 11 15:52:38 2022 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Mon, 11 Apr 2022 19:52:38 +0000 Subject: Connectionists: CNS*2022 EXTENDED deadline Message-ID: Dear Connectionists, 31st Annual Computational Neuroscience Meeting (CNS*2022) Melbourne 16-20 July 2022 https://www.cnsorg.org/cns-2022 The CNS*2022 abstract submission deadline has been extended to Friday, 22 April at 11:00 pm Pacific Time. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2022-registration Abstract Submission: https://cns.confmaster.net/ The call for tutorials and workshops remains open: CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2022-call-for-tutorials Deadline for proposals: 15 April 2022 CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2022-call-for-workshops Priority Deadline for proposals: 15 April 2022 Regards, Thomas Nowotny OCNS vice-president on behalf of the board of directors -------------- next part -------------- An HTML attachment was scrubbed... URL: From aconst12 at cs.ucy.ac.cy Tue Apr 12 07:31:46 2022 From: aconst12 at cs.ucy.ac.cy (Argyris Constantinides) Date: Tue, 12 Apr 2022 14:31:46 +0300 Subject: Connectionists: APPS 2022 Extended Call for Papers - ACM UMAP Workshop Message-ID: <48CC13FB-1637-41CE-A62E-3377CC6F159E@cs.ucy.ac.cy> Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM UMAP Workshop EXTENDED CALL FOR PAPERS The Fourth International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 30th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022), held both virtually and physically from Barcelona, Spain, July 04-07, 2022 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions in EasyChair by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=umap22 IMPORTANT DATES Paper submission: April 15, April 22, 2022 (23:59 AoE time) - Extended Notification to authors: May 11, 2022 Camera-ready version of accepted papers: May 18, 2022 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 2022 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 2022 will be on challenges and opportunities related to the security and privacy of remote activities (e.g., remote work environments, distance learning). 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: - 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 (e.g., e-Learning, e-Government, IoT, healthcare, etc.) - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Privacy and security in smart patient-centric healthcare systems - 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 (8-14 pages, excl. references), proposing new approaches, innovative methods and research findings. - Short research papers (up to 7 pages, excl. 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=umap22 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 eswc2022 at gmail.com Tue Apr 12 16:16:02 2022 From: eswc2022 at gmail.com (ESWC 2022) Date: Tue, 12 Apr 2022 22:16:02 +0200 Subject: Connectionists: Call for Participation ESWC 2022 Message-ID: *Call for Participation ESWC 2022* ESWC is a key academic conference for research results and new developments in the area of the Semantic Web and Knowledge Graphs. ESWC2022 marks the 19th edition, which will take place from 29 May to 2 June 2022, in Heraklion, Greece. ESWC 2022 main scientific program features 28 accepted papers, a poster and demo session, workshops and tutorials, a PhD symposium, an EU project networking session, an industry track, eleven workshops and tutorials (covering topics ranging knowledge graph construction and natural language processing to linked data in construction and music), and the following keynote speakers: - Prof. Matthias Niepert (University of Stuttgart, Chief Scientific Advisory NEC Labs Europe): Learning with Discrete Structures - Prof. Tova Milo (Tel Aviv University): Data Disposal by Design - Prof. Axel Ngonga (Paderborn University): Structured Machine Learning with Multiple Representations For full details and the list of accepted papers, see https://2022.eswc-conferences.org/ *Early registration has now been extended to April 22nd!* Additionally, we would like to highlight the following: *Call for Project Networking Session Profiles* The project networking track of ESWC2022 will provide an opportunity to: - Share knowledge between research projects; - Transfer data and technology between projects; - Present and discuss project requirements and results with ESWC participants; - Discuss funding opportunities such as Horizon Europe and ERC. The project networking track is intended to provide research projects with the ability to connect with each other and engage in discussions about their respective research and development. It fosters opportunities for knowledge and technology sharing, and to identify complementary activities and goals. This can form the basis for future collaborations, research proposals, researcher exchange, or joint participation at events or initiatives. *Who is invited?* We equally welcome submissions from recently finished projects, which have results to transfer, as well as ongoing and reprojects, which are seeking datasets and tools to perform their work and would like to network and exchange know-how, expertise or info with other EU-funded projects. *What to expect from the network session? * As the past two years most networking has taken place online, ESWC 2022 will offer you the opportunity to get to know researchers from different projects in a lightly organised setting. The network session chairs will match you with the most promising projects for you to talk to based on your profile during a series of ?speed dates?. As the networking session will take place before the gala dinner, you can continue conversations with your best matches there! *How to apply?* Describe your project?s objective, what you would like to share with other projects and what you hope to find in other projects at: https://forms.gle/jh6wpfT5D6sp7FUT6 This track will not be included in the proceedings, but your answers will be made available via the ESWC website to inform the community of the different projects in the session. *Deadline:* Send us your applications by Monday, 9 May 2022, 18:00 CET. Notification: Friday 13 May. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Wed Apr 13 03:51:31 2022 From: mpavone at dmi.unict.it (Mario Pavone) Date: Wed, 13 Apr 2022 09:51:31 +0200 Subject: Connectionists: [MIC 2022] New Submission Deadline Message-ID: <20220413095131.Horde.c9K8bOph4B9iVoEDlv5BkuA@webmail.dmi.unict.it> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ********************************************************* MIC 2022 - 14th Metaheuristics International Conference 11-14 July 2022, Ortigia-Syracuse, Italy https://www.ANTs-lab.it/mic2022/ mic2022 at ANTs-lab.it ********************************************************* ** NEW SUBMISSION DEADLINE: 30th April 2022 ** ** ONLINE & ONSITE Participation Mode ** ** Proceedings in LNCS Volume, Springer ** ** Special Issue in ITOR journal ** ** 7 Plenary Talks ** *Plenary Speakers ======================== + Christian Blum, Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC) "Recent Hybrid Techniques for Solving Large-Scale Combinatorial Optimization Problems" + Kalyanmoy Deb, Michigan State University, USA "Making Metaheuristics More Powerful Using Human and Machine-learnt Knowledge" + Fred Glover, Entanglement, Inc. USA "New Advances for Quantum-Inspired Optimization - part A" + Salvatore Greco, University of Catania, Italy "TBA" + Holger H. Hoos, Leiden University, The Netherlands "TBA" + Gary Kochenberger, Entanglement, Inc. USA "New Advances for Quantum-Inspired Optimization - part B" + El-Ghazali Talbi, University of Lille, France "How Machine Learning Can Help Metaheuristics?" Submission Details =================== ** SUBMISSION SYSTEM ALREADY OPEN ** https://www.easychair.org/conferences/?conf=mic2022 MIC 2022 accepts submissions in three different formats: ??S1) Regular paper: novel and original research contributions of a maximum of 15 pages? (LNCS format) ??S2) Short paper: extended abstract of novel research works of 6 pages (LNCS format) ??S3) Oral/Poster presentation: high-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication. All papers must be prepared using Lecture Notes in Computer Science (LNCS) template, and must be submitted in PDF at the link: Proceedings and special issue ============================ Accepted papers in categories S1 and S2 will be published as post-proceedings in *Lecture Notes in Computer Science* series by Springer.? Accepted contributions of category S3 will be considered for oral or poster presentations at the conference based on the number received and the slots available, and will not be included into the LNCS proceedings. An electronic book instead will be prepared by the MIC 2022 organizing committee, and made available on the website. In addition, a post-conference special issue in International Transactions in Operational Research (ITOR) will be considered for the significantly extended and revised versions of selected accepted papers from categories S1 and S2. Conference Location ==================== MIC 2022 will be held at the Department of Architeture of the University of Catania, which is placed in the beautiful Ortigia island, the historical centre of the city of Syracuse, Sicily-Italy. Syracuse is very famous for its ancient ruins, with particular reference to the Roman Amphitheater, Greek Theatre, and the Orecchio di Dionisio (Ear of Dionisio) that is a limestone cave shaped like a human ear. Syracuse is also the city where the greatest mathematician Archimede was born. https://www.ants-lab.it/mic2022/index.html#venue https://www.ants-lab.it/mic2022/location.html https://www.siracusaturismo.net/multimedia_lista.asp MIC'2022 Conference Chairs ============================== Conference Chairs - Paola Festa, University of Naples, Italy - Luca Di Gaspero, University of Undine, Italy - Amir Nakib, Universit? Paris Est Cr?teil, France - Mario Pavone, University of Catania, Italy -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MIC 2022 - 14th International Metaheuristics Conference 11-14 July 2022, Ortigia-Syracuse, Italy https://www.ants-lab.it/mic2022/ ========================================================= From emmanuel.vincent at inria.fr Wed Apr 13 02:46:24 2022 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Wed, 13 Apr 2022 08:46:24 +0200 Subject: Connectionists: Second Inria-DFKI European Summer School on AI Message-ID: <3c8e3124-d2d7-66d0-8b3e-c7f5298bebf2@inria.fr> ******************************************************************* *Second Inria-DFKI European Summer School on AI (IDESSAI 2022)*** *Trusted AI*and*Sustainable AI* *? ? Saarbr?cken, Germany* *August 29 - September 2, 2022* *https://idessai.eu/* *Registration deadline: May 9, 2022* ******************************************************************* IDESSAI 2022 is the second yearly Summer School 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 aspects: * 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, Trusted AI and Sustainable AI, 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, IDESSAI 2022 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. Trusted AI and AI Sustainable AI 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* IDESSAI 2022 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 academia and industry are also welcome. *VENUE* IDESSAI 2022 is planned as a fully in-person event, which will take place at the University of Saarland. Remote attendance will not be possible. Participants will comply with the health and social distancing rules in force at the time of the event. *CONFIRMED SPEAKERS*** *Cross-track * * Titouan Vayer (ENS Lyon) - Less is more? How compressive learning and sketching for large-scale machine works * Michael Luck (King's College London) - Artificial Intelligence: Towards safety and trust *Trusted AI Track:* * Martin Georg Fr?nzle (University of Oldenburg) - AI components for high integrity, safety-critical cyber-physical systems: chances and risks * Andr? Meyer-Vitali (DFKI) - Trustworthy hybrid team decision support * Caterina Urban (Inria) - Formal methods for machine learning * Freddy Lecue (Thales & Inria) - Explainable AI: a focus on machine learning and knowledge graph-based approaches * Oana Goga (CNRS - LIG) - Security and privacy issues with social computing and online advertising *Sustainable AI Track:* * Silviu-Ioan Filip (Inria) - Tools for DNN quantization * Olivier Sentieys (Inria) - Deploying DNNs on FPGAs * Christoph L?th (DFKI Bremen) - An introduction to the RISC-V ISA * Richard Membarth (DFKI Saarbr?cken & TH Ilmenau) - Code optimization via specialization * Anne-Laure Ligozat (ENSIIE) - Energy consumption and CO2 emissions - Part 1 * Danilo Carastan dos Santos (Inria) - Energy consumption and CO2 emissions - Part 2 * Daniel Beutel (Adap) - An Introduction to federated learning with Flower * **FEES AND REGISTRATION* Our fees are all-inclusive. Please keep in mind that an accomodation has to be organised on your own. For more details and to register, see https://idessai.eu/registration-2022/ (deadline: May 9, 2022). 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 Contact us: idessai-support at dfki.de. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Wed Apr 13 05:38:12 2022 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Wed, 13 Apr 2022 11:38:12 +0200 Subject: Connectionists: ACAIN 2022, 2nd International Advanced Course on Artificial Intelligence & Neuroscience, Sept 18-22, Certosa di Pontignano, Tuscany Message-ID: _______________________________________________________________ Call for Participation (apologies for cross-postings) Please distribute this call to interested parties, thanks. _______________________________________________________________ The 2nd International Advanced Course on #ArtificialIntelligence & #Neuroscience - #ACAIN2022 September 18-22 Certosa di Pontignano, Castelnuovo Berardenga #Tuscany https://acain2022.artificial-intelligence-sas.org acain at icas.cc Past Edition: https://acain2021.artificial-intelligence-sas.org LECTURERS: * Marvin M. Chun, Yale University, USA * Ila Fiete, MIT, USA * Karl Friston, University College London, UK * Wulfram Gerstner, EPFL, Switzerland * M?t? Lengyel, Cambridge University, UK * Max Erik Tegmark, MIT, USA & Future of Life Institute * Michail Tsodyks, Institute for Advanced Study (IAS) Princeton, USA More Lecturers and Speakers to be announced soon! https://acain2022.artificial-intelligence-sas.org/course-lecturers/ Early Registration (Course): by Thursday June 30, 2022 (AoE) https://acain2022.artificial-intelligence-sas.org/registration/ SCOPE & MOTIVATION: The ACAIN 2022 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields. The Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion residential (or online) Course and Symposium at the Certosa di Pontignano (Tuscany - Italy) on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their peers, in a friendly and constructive environment. Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy and efficient cooperation between the two research communities. The Event will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. COURSE DESCRIPTION: https://acain2022.artificial-intelligence-sas.org/course-description/ VENUE & ACCOMMODATION: https://acain2022.artificial-intelligence-sas.org/venue/ https://acain2022.artificial-intelligence-sas.org/accommodation/ The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php Contact person: Dr. Lorenzo Pasquinuzzi You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano. ACTIVITIES: https://acain2022.artificial-intelligence-sas.org/activities/ REGISTRATION: https://acain2022.artificial-intelligence-sas.org/registration/ See you in 3D or 2D :) in Tuscany in September! ACAIN 2022 Directors. Past Edition: https://acain2021.artificial-intelligence-sas.org POSTER: https://acain2022.artificial-intelligence-sas.org/wp-content/uploads/sites/21/2022/02/poster-ACAIN-2022.png NEWS: https://acain2022.artificial-intelligence-sas.org/category/news/ E: acain at icas.cc W: https://acain2022.artificial-intelligence-sas.org * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From sbminna at gmail.com Wed Apr 13 07:00:34 2022 From: sbminna at gmail.com (Inna S) Date: Wed, 13 Apr 2022 13:00:34 +0200 Subject: Connectionists: Bar-Ilan University tenure track positions in Neuroscience and Computational Neuroscience Message-ID: *Faculty Positions at the Gonda Brain Research Center, Bar-Ilan University* The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University is looking for an excellent early-stage scientists. The start date for this tenure track positions is October 2023 (rank commensurate with qualifications and experience). The first position is open for a candidate with a focus in computational neuroscience, including theoretical neuroscience and modelling. The second position is open for neuroscience research broadly defined, including neurobiology, systems and cognitive neuroscience. All applicants will be evaluated for merit. The appointments are subject to budgetary approval. The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University brings together researchers from a variety of fields essential for understanding the brain, including life sciences, neurophysiology, psychology, linguistics, computer science, math and physics. Research at the Center addresses the brain at all levels - from behavior and cognitive processing through neural circuits, all the way to molecular mechanisms, in health and in disease. Candidates are expected to have a doctorate and post-doctoral training in relevant fields, and to show an excellent track-record. Interested candidates should submit a letter of application, CV and a research statement. For more information, inquiries and applications, please contact Dr. Inna Sukhotinsky (Inna.Sukhotinsky at biu.ac.il). BIU is an equal opportunity employer and all qualified applicants will receive consideration for employment. *Submission deadline:* June 30, 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcella.cornia at unimore.it Wed Apr 13 06:19:46 2022 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Wed, 13 Apr 2022 12:19:46 +0200 Subject: Connectionists: [CFP] International Workshop on "Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)" at ICPR 2022 Message-ID: ******************************** Call for Papers ?Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)? International Workshop at ICPR 2022 (2nd Edition) https://sites.google.com/view/t-cap2022 ******************************** === SUBMISSIONS ARE OPEN!!! ==== Two types of paper are welcome:: ---------------------------- - Regular Papers - (novel contributions not published previously) - Presentation Papers - (papers that have been already accepted for publication previously) ---------------------------- Apologies for multiple posting Please distribute this call to interested parties AIMS AND SCOPE =============== Human-centered data are extremely widespread and have been intensely investigated by researchers belonging to even very different fields, including Computer Vision, Pattern Recognition, and Artificial Intelligence. These research efforts are motivated by the several highly-informative aspects of humans that can be investigated, ranging from corporal elements (e.g. bodies, faces, hands, anthropometric measurements) to emotions and outward appearance (e.g. human garments and accessories). The huge amount and the extreme variety of this kind of data make the analysis and the use of learning approaches extremely challenging. In this context, several interesting problems can be addressed, such as the reliable detection and tracking of people, the estimation of the body pose, the development of new human-computer interaction paradigms based on expression and sentiment analysis. Furthermore, considering the crucial impact of human-centered technologies in many industrial application domains, the demand for accurate models able also to run on mobile and embedded solutions is constantly increasing. For instance, the analysis and manipulation of garments and accessories worn by people can play a crucial role in the fashion business. Also, the human pose estimation can be used to monitor and guarantee the safety between workers and industrial robotic arms. The goal of this workshop is to improve the communication between researchers and companies and to develop novel ideas that can shape the future of this area, in terms of motivations, methodologies, prospective trends, and potential industrial applications. Finally, a consideration about the privacy issues behind the acquisition and the use of human-centered data must be addressed for both the academia and companies. TOPICS ======= The topics of interest include but are not limited to: - Human Body - People Detection and Tracking - 2D/3D Human Pose Estimation - Action and Gesture Recognition - Anthropometric Measurements Estimation - Gait Analysis - Person Re-identification - 3D Body Reconstruction - Human Face - Facial Landmarks Detection - Head Pose Estimation - Facial Expression and Emotion Recognition - Outward Appearance and Fashion - Garment-based Virtual Try-On - Human-centered Image and Video Synthesis - Generative Clothing - Human Clothing and Attribute Recognition - Fashion Image Manipulation - Outfit Recommendation - Human-centered Data - Novel Datasets with Human Data - Fairness and Biases in Human Analysis - Privacy Preserving and Data Anonymization - First Person Vision for Human Behavior Understanding - Multimodal Data Fusion for Human Analysis - Computational Issues in Human Analysis Architectures - Biometrics - Face Recognition and Verification - Fingerprint and Iris Recognition - Morphing Attack Detection IMPORTANT DATES ================= - Paper Submission Deadline: May 5, 2022 (11:59 p.m. CET) - Decision to Authors: May 30, 2022 (11:59 p.m. CET) - Camera ready papers due: June 6, 2022 (11:59 p.m. CET) - Workshop date: August 21, 2022 SUBMISSION GUIDELINES ====================== All the papers should be submitted at: https://cmt3.research.microsoft.com/TCAP2022. Papers must be prepared according to the ICPR guidelines . All papers will be reviewed by at least two reviewers with single-blind peer-review policy. Authors are required to include their names and affiliations in their papers as illustrated in the sample templates. Manuscripts must be submitted as pdf documents following one of the following templates: - Word template - LaTeX template Submissions should be 6 pages plus unlimited pages for references (IEEE format). At the time of submission, authors must indicate the type of the paper: - Regular papers: will be peer-reviewed following the same policy of the main conference and will be published in the proceedings. These are meant to present novel contributions not published previously (submitted papers should not have been published, accepted or under review elsewhere). - Presentation papers: are meant for papers that have been already accepted for publication previously, preferably in the last year in some major conferences or journals. These papers will undergo a soft-reviewing process from the chairs to assess the suitability for the workshop topics. These will not appear in the proceedings. The inclusion of both the above paper categories is meant to encourage dissemination and discussion of recent findings related to the workshop topics. Each accepted paper must be covered by at least one author registered. Authors of selected high-quality papers will be possibly invited to submit substantially extended versions for a Special Issue on an international journal. WORKSHOP MODALITY ==================== The workshop will be held in conjunction with the International Conference on Pattern Recognition (ICPR 2022). The workshop will take place in an entirely virtual mode. ORGANIZING COMMITTEE ====================== - Prof. Mohamed Daoudi, IMT Lille Douai, France - Prof. Roberto Vezzani, University of Modena and Reggio Emilia, Italy - Guido Borghi, University of Bologna, Italy - Marcella Cornia, University of Modena and Reggio Emilia, Italy - Claudio Ferrari, University of Parma, Italy - Federico Becattini, University of Florence, Italy - Andrea Pilzer, Aalto University, Finland -- *Marcella Cornia*, PhD Tenure-Track Assistant Professor (RTD-B) Dipartimento di Educazione e Scienze Umane Universit? degli Studi di Modena e Reggio Emilia e-mail: marcella.cornia at unimore.it phone: +39 059 2058790 -------------- next part -------------- An HTML attachment was scrubbed... URL: From RoigNoguera at em.uni-frankfurt.de Wed Apr 13 08:33:43 2022 From: RoigNoguera at em.uni-frankfurt.de (Gemma Roig) Date: Wed, 13 Apr 2022 14:33:43 +0200 Subject: Connectionists: Postdoc position at the intersection of Computational Vision/AI and Biological Vision (2 years, starting as soon as possible) Message-ID: Hello community! We solicit applications for a postdoc opening to work at the intersection of artificial and biological vision. The successful candidate will work together with Prof. Gemma Roig (focus: computer vision) from Goethe University Frankfurt and Prof. Radoslaw Cichy (focus: biological vision) from the Freie-Universit?t Berlin. We have established a long-lasting and successful collaborative effort enabling flow and exchange of ideas between both our labs with the goal of combining knowledge from the two domains, in an inspiring, inclusive, diverse and multidisciplinary environment. This has also resulted in several joint publications in both AI and bio venues (e.g. Dwivedi et al. ECCV19, PLoSCompBiol 2020, Graumann et al. NatHumanBehav 2021, etc.), as well as the Algonauts project in collaboration with MIT. The topic of research of the position is open. The successful candidate will have the opportunity to develop and contribute their own novel ideas to bring together artificial and biological systems in an innovative manner. This can include computational and/or experimental work in humans. The postdoc will also be encouraged to interact and participate in projects with other members of both labs, including the Algonauts project together with MIT, as well as to supervise students. The duration of the position is for about 2 years, starting as soon as possible. There is no obligation to teach but there is the opportunity to give courses an BSc/MSc level if desired. The position will involve: -Developing cutting-edge research work on computational models of human visual cognition and artificial intelligence. -Linking AI models to brain data, including functional MRI (3T, 7T), MEG and EEG, and behavior -Possibility to record new brain data (fMRI, EEG) -The outcome of the research pursued is expected to be published in top tier conferences and journals. Key requirements for the position: - PhD in Computer Science, applied mathematics, computational neuroscience related fields. - Strong knowledge in machine learning (deep learning, RNN, LSTMs, supervised learning, self-supervised learning, etc.) - Excellent programming skills in python, and extensive experience in Tensorflow, pyTorch or related libraries. - Knowledge of high-performance distributed computing with GPUs. - At least two publications in tier 1 conferences or journals as first author in related topics to computer science and cognitive computational neuroscience. - Basic knowledge and high motivation to learn about computational neuroscience and cognitive science. - Fluent in English (writing, speaking, oral) Self-motivated candidates with a hands-on, proactive approach and problem-solving skills are strongly encouraged to apply. Location: The position is officially affiliated at Centre for multi-scale modelling, analysis and simulation of biological processes at the Frankfurt Institute for Advance Studies, as well as the Goethe University Frankfurt. There will also be the option for research visits to Freie-Universit?t Berlin. Frankfurt is a very vibrant, open and international city. It is very well connected to the world and full of research institutions dedicated to biology, neuroscience and medicine, which makes it a perfect place for networking and collaborating with scientist of different backgrounds. Application Instructions: Applicants are asked to send their documents (1-page motivational letter, CV, 2 publications, diploma and certificates) to Gemma Roig at roig at cs.uni-frankfurt.de in electronic form. Please include in the subject [postdoc]. Interviews will be held in Frankfurt or conducted electronically. We are looking forward to hearing from you! Best wishes, Gemma -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Wed Apr 13 08:18:00 2022 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Wed, 13 Apr 2022 12:18:00 +0000 Subject: Connectionists: JOB: Research Engineer (Research Fellow) in Sound Sensing, University of Surrey, UK Message-ID: Dear Connectionists, (with apologies for cross-posting) We are recruiting for a Research Engineer in Sound Sensing, a 6-month post as part of the project AI for Sound (https://ai4s.surrey.ac.uk/). Please forward the information below to any colleagues who may be interested. I would particularly like to encourage applications from women, disabled and Black, Asian and minority ethnic candidates, since these groups are currently underrepresented in our area. Many thanks, Mark --- Research Engineer (Research Fellow) in Sound Sensing Location: University of Surrey, Guildford, UK Closing Date: Thursday 12 May 2022 (23:59 GMT) Further details: https://jobs.surrey.ac.uk/025022 Applications are invited for a Research Engineer (Research Fellow) in Sound Sensing, to work full-time for six months on an EPSRC-funded Fellowship project "AI for Sound" (https://ai4s.surrey.ac.uk/), to start on 1 June 2022 or as soon as possible thereafter. The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector. The postholder will be responsible for designing and building the hardware and software to be developed in the fellowship, including sound sensor systems, open-source software libraries and datasets to be released from the project. The postholder will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley. The successful applicant is expected to have a postgraduate qualification in electronic engineering, computer science or a related subject, or equivalent professional experience; experience in software and hardware development relevant to signal processing or sensor devices, and experience in software development in topics such as audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in development and deployment of hardware sensors, Internet-of-Things (IoT) devices, or audio systems; and programming experience using Python, C++, MATLAB, or other tools for signal processing, machine learning or deep learning is desirable. Direct research experience, or experience of hardware or software development while working closely with researchers, is also desirable. CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 180 researchers, a grant portfolio of ?26M (?17.5M EPSRC), and a turnover of ?7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs for deep learning and >1PB of high-speed secure storage. The University is located in Guildford, a picturesque market town with excellent schools and amenities, and set in the beautiful Surrey Hills, an area of Outstanding Natural Beauty. London is just 35 minutes away by train, while both Heathrow and Gatwick airports are readily accessible. For more information about the post and how to apply, please visit: https://jobs.surrey.ac.uk/025022 Deadline: Thursday 12 May 2022 (23:59 GMT) For informal inquiries about the position, please contact Prof Mark Plumbley (m.plumbley at surrey.ac.uk). -- Prof Mark D Plumbley EPSRC Fellow in AI for Sound Professor of Signal Processing Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From ksharma.raj at gmail.com Thu Apr 14 09:57:44 2022 From: ksharma.raj at gmail.com (Raj Sharma) Date: Thu, 14 Apr 2022 19:27:44 +0530 Subject: Connectionists: ICMI 2022: 2nd Call for Long, Short and Blue Sky Papers Message-ID: **apologies if you have received multiple copies of this email* ********************************************************************* ICMI 2022 24th ACM International Conference on Multimodal Interaction https://icmi.acm.org/2022/ 7-11 Nov 2022, Bengaluru, India ********************************************************************* CALL FOR LONG, SHORT AND BLUE SKY PAPERS The 24th International Conference on Multimodal Interaction (ICMI 2022) will be held in Bengaluru, India. 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. ICMI 2022 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits, doctoral spotlight papers, Blue Sky papers, and late-breaking papers. The conference will also feature workshops and grand challenges. The proceedings of all ICMI 2022 papers, including Long and Short Papers, 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 behavioural 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 2022 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2022 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 behavioural markers that are predictive of mental health or how new behavioural 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 modelling 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. Please see the Submission Guidelines for Authors icmi.acm.org/2022/authors for detailed submission instructions. This year's conference theme: Embodied Conversational Agents (ECAs) enable natural Human Computer Interaction, inspired by human-human communication. With rapid advances in multimodal analysis, dialog and synthesis technologies, intelligent ECAs are set to enter real world applications. The expected intelligence includes cognitive, social and emotional facets that humans routinely display in conversations. The theme for ICMI 2022 will revolve around making the ECAs more robust, responsible and multilingual. As such, this year, ICMI welcomes contributions on our theme for ?Intelligent and responsible Embodied Conversational Agents (ECAs) in the multilingual real world?. Additional topics of interest include but are not limited to: - Affective computing and interaction - Cognitive modelling and multimodal interaction - Gesture, touch and haptics - Healthcare, assistive technologies - Human communication dynamics - Human-robot/agent multimodal interaction - Human-centred A.I. and ethics - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behaviour generation - Multimodal datasets and validation - Multimodal dialogue modelling - Multimodal fusion and representation - Multimodal interactive applications - Novel multimodal datasets - Speech behaviours in social interaction - System components and multimodal platforms - Visual behaviours in social interaction - Virtual/augmented reality and multimodal interaction SUBMISSIONS *Long paper*: The maximum length is 8 pages in ACM conference format, and authors are welcome to submit papers initially in either LaTeX or Word (excluding references). *Short paper*: The maximum length is 4 pages in ACM conference format using latex or Word (excluding references). *Blue Sky paper*: ICMI 2022 partners once more with the Computing Community Consortium (CCC) to continue the Blue Sky paper track initiated in 2021 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). The CCC will further distribute and publicise any papers published in this track, and they will sponsor awards to honour 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. The maximum length is 4 pages in ACM conference format using either LaTeX or Word (excluding references). IMPORTANT DATES Paper Submission: May 13, 2022 Reviews to authors: July 1, 2022 Rebuttal due: July 8, 2022 Paper notification: July 22, 2022 Camera-ready paper: August 19, 2022 Presenting at main conference: November 7-11, 2022 KEYNOTE SPEAKERS Justine Cassell, CMU & Inria Louis-Philippe Morency, CMU -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerstin.ritter at bccn-berlin.de Thu Apr 14 11:02:37 2022 From: kerstin.ritter at bccn-berlin.de (Kerstin Ritter) Date: Thu, 14 Apr 2022 17:02:37 +0200 (CEST) Subject: Connectionists: =?utf-8?q?New_PostDoc_position_in_=22Explainable_?= =?utf-8?q?Machine_/_Deep_Learning_in_Translational_Psychiatry=22_at_Chari?= =?utf-8?q?t=C3=A9_-_Universit=C3=A4tsmedizin_Berlin=2C_Germany?= Message-ID: <1529255058.342595.1649948557870.JavaMail.zimbra@bccn-berlin.de> Dear all, John-Dylan Haynes and I offer a new PostDoc position in the field of "Explainable Machine Learning / Deep Learning in Clinical Neuroimaging and Translational Psychiatry" at Charit? - Universit?tsmedizin Berlin, Germany (see advertisement below) - please feel free to forward the advertisement to people who may be interested! Thanks a lot! Best wishes, Kerstin Ritter ______________________________________________________________ Explainable Machine Learning / Deep Learning in Clinical Neuroimaging and Translational Psychiatry PostDoc position (starting date: July 1st 2022, up to 4 years; 100 %) at Charit? - Universit?tsmedizin (Berlin, Germany) At Charit? - Universit?tsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PostDoc for methods development at the intersection of explainable machine learning / deep learning and clinical neuroimaging / translational psychiatry. The position will be located in the research groups of Ass. Prof. Kerstin Ritter and Prof. John-Dylan Haynes at Charit? Berlin. The main task will be to predict response to cognitive-behavioral psychotherapy in retrospective data and a prospective cohort of patients with internalizing disorders including depression and anxiety from a complex, multimodal data set comprising tabular data as well as imaging data (e.g., clinical data, smartphone data, EEG, structural and functional MRI data). An additional task will be to contribute to the organization and maintenance of the prospective cohort. This study will be one of several projects in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike L?ken). Requirements for the Postdoc: - Excellent degree in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related). - Excellent methodological skills (esp. machine learning, deep learning, explainable AI, medical image analysis) - Excellent programming skills in python - Excellent writing and communication skills (in English) - Strong interest in neuroscientific and psychiatric research Please send your application (motivation+CV+references) in one pdf-file (in English or German) till May 20th to: Ass. Prof. Dr. rer. nat. Kerstin Ritter Charit? - Universit?tsmedizin Berlin Department of Psychiatry and Psychotherapy Bernstein Center for Computational Neuroscience Sauerbruchweg 4, Charit?platz 1, 10117 Berlin E-Mail: kerstin.ritter at charite.de Webpage: https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_neurotechnology/machine_learning/ ______________________________________________________________ From tiako at ieee.org Wed Apr 13 10:51:20 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Wed, 13 Apr 2022 09:51:20 -0500 Subject: Connectionists: CFP: 2022 OkIP Intl Conf on Automated and Intelligent Systems, Oct 3-6, Oklahoma City, OK, USA Message-ID: --- 1st Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Automated and Intelligent Systems (CAIS) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/CAIS002 Submission Deadline: July 11, 2022 CAIS aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies. CAIS will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journals publication. >> Agent-based, Automated, and Distributed Supports - Multi-Agent Systems - Software Agents - Decentralized Intelligence - Distributed Intelligence - Context-Aware Computing - Group Decision Support Systems - Intelligent Structures - Intelligent Networks - Design Approaches - Automation Approaches - Sensor Networks Architectures - Path Planning - Complex Manufacturing Processes - Analytical Models - Multistage Assembly Line - Automated Inspection >> Intelligent Systems and Applications - Medical Nanorobotics - Sensory Systems - Embedded Systems - Microsatellite - Embedded Systems - Digital Manufacturing - Optimization Algorithms - Evolutionary Algorithms - Bioinformatics Applications - Biotechnology Applications - Computer Vision Applications - Sensor Networks Applications - Intelligent Design - Soft Computing - Ubiquitous Computing - Pervasive Computing - Wearable Computing - Fuzzy Systems - Intelligence Manufacturing - Cyber-physical Systems - Kinematics >> Knowledge-based and Control Supports - Expert Systems - Decision Support Systems - Intelligent Control Systems - Intelligent Supervision Systems - Knowledge Engineering - Complex Systems - Neural Networks - Structural Optimization - Intelligent Teleoperation - Intelligent Shopfloor - Collision Avoidance - Object Detection and Tracking - Path Planning - Position Control - Fault Diagnosis - Quality Control - Motion Control - Preventive Maintenance - Defect Detection - Predictive Control >> Robotics and Vehicles - Unmanned Vehicles - Unmanned Robots - Autonomous Vehicles - Autonomous Robots - Human-Robot Interfaces - Human-Robot Interactions - Robotic Applications - Intelligent Telrobotics - Service Robots - Robotic Manipulators - Self-driving Vehicles - Cloud-based Driving - Robotic Arms - Vehicular ad hoc Networks - Traffic Detection - Vehicle-to-Vehicle Communication - Vehicle Platooning - Steering Systems - Vehicle dynamics - Traffic Computing >> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/19/page/56-committee Please feel free to contact us for any inquiry at: info at okipublishing.com -------- Pierre Tiako General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Thu Apr 14 02:34:19 2022 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 14 Apr 2022 12:04:19 +0530 Subject: Connectionists: Online/on-site issue for ISCMI22 (Toronto) Message-ID: Dear colleagues, Warmest greetings from India. Thanks very much for your interest towards 2022 9th ISCMI (Toronto). Recently in response to many queries from some potential authors/participants regarding the mode (on-site or online) that we are planning for this conference, we have uploaded an update as it stands now. It can be seen by visiting the homepage of the conference http://iscmi.us Hope this update will help in your planning?.. With kind rgds, Suash Deb General Chair, ISCMI 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Apr 14 11:06:16 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Thu, 14 Apr 2022 15:06:16 +0000 Subject: Connectionists: CFP: SBP-BRiMS'2022: Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2022 2022 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 20-23, 2022 Will be held in hybrid mode (Virtually and in-person in Pittsburgh, USA) http://sbp-brims.org/ #sbpbrims The goal of this conference is to build this new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior. It is the charge to this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. Despite decades of work in this area, this scientific field is still in its infancy. To meet this charge and move this science to the next level, this community must meet the following three challenges: 1) deep understanding of socio-cognitive reasoning, 2) human-technology integration, 3) and re-usable computational methods. Topics include but are not limited to the following: ? Social Cybersecurity ? Social Network Modeling ? Human Behavior Modeling ? Agent-Based Models ? Models of Human-Autonomy Interaction ? Health and Epidemiological Models ? Validation Methods and Human Experimentation All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. IMPORTANT DATES: Paper/Abstract Submission: 01-Jul-2022 (Midnight EST) Author Notification: 29-Jul-2022 Tutorial Submission: 22-Aug-2022 Decision Notification: 29-Aug-2022 Challenge Response due: 22-Aug-2022 Challenge Notification: 29-Aug-2022 Final Files due: 15-Aug-2022 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference 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-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tkietzma at uni-osnabrueck.de Thu Apr 14 14:39:02 2022 From: tkietzma at uni-osnabrueck.de (Prof. Dr. rer. nat. Tim Christian Kietzmann) Date: Thu, 14 Apr 2022 20:39:02 +0200 Subject: Connectionists: =?utf-8?q?Postdoc_opportunity_=28ML/visual_comput?= =?utf-8?q?ational_neuroscience=29=2C__Kietzmann_Lab?= Message-ID: <184c-62586a80-497-65781d00@202060020> Dear all, I am excited to be hiring a postdoc in the space of deep learning and visual computational neuroscience to join my group at the institute of cognitive science (University of Osnabr?ck, Germany). The full-time position is initially for 3 years, but can be extended. - Details about the position are provided here:?https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-detail/75-ikw-postdoc-mfd/ - You can find out more about our work here:?https://www.kietzmannlab.org/ - Information about research in Germany more generally:?https://twitter.com/TimKietzmann/status/1482027695856828417 Feel free to contact me with any open questions. Best wishes Tim __________________________________ Prof. Dr. rer. nat. Tim C Kietzmann Professor for Machine Learning Institute of Cognitive Science University of Osnabr?ck Osnabr?ck, Germany Web: https://www.kietzmannlab.org Email: tim.kietzmann at uni-osnabrueck.de Twitter: @TimKietzmann From christos.dimitrakakis at gmail.com Thu Apr 14 09:38:09 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Thu, 14 Apr 2022 15:38:09 +0200 Subject: Connectionists: PhD Position in Reinforcement Learning, Fairness or Privacy Message-ID: <07f8b179-07c8-8478-7235-4dc41b07be78@gmail.com> PhD Scholarship in reinforcement learning, privacy, or fairness at the university of Neuchatel, Swizerland We are looking for a PhD student to join our group on reinforcement learning and decision making under uncertainty more generally, at the University of Neuchatel, Switzerland ( https://www.unine.ch/ ). We are particularly interested in candidates with a strong mathematical background. Prior research experience as documented by your Masters thesis is required. Within the area, we are looking for candidates with a strong research interest in the following fields - Reinforcement learning and decision making under uncertainty: 1. Exploration in reinforcement learning. 2. Decision making nuder partial information. 3. Representations of uncertainty in decision making. 4. Theory of reinforcement learning (e.g. PAC/regret bounds) 5. Bayesian inference and approximate Bayesian methods. - Social aspect of machine learning 1. Theory of differntial privacy. 2. Algorithms for differentially private machine learning. 3. Algorithms for fairness in machine learning. 4. Interactions between machine learning and game theory. 5. Inference of human models of fairness or privacy. The main supervisor will be Christos Dimitrakakis < https://sites.google.com/site/christosdimitrakakis > Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). Excellent technical skills in calculus, linear algebra, probability as well as competence in at least one programming language is expected. In addition,the doctoral student must have a strong background, as evidenced by their master thesis, in one of the following areas: 1. Fairness. 2. Privacy. 3. Reinforcement learning. 4. Game theory. 5. Economics. 6. Statistical inference. >>>> Application Information <<<<< *Starting date* 1 September 2022 or soon afterwards. *Application deadline* 31 May 2022. The PhD is fully funded, and normally lasts 4 years, with approximate 25% of the time as a teaching assistant. To apply sen an email to christos.dimitrakakis at unine.ch with the subject 'PhD Neuchatel'. An application must include: 1. A statement of research interests and motivation relevant to the position. 2. A CV with a list of references. 3. Your MSc thesis (or a draft) or another research work demonstrating your academic writing. 4. A degree transcript. From jenny.benois-pineau at u-bordeaux.fr Thu Apr 14 11:52:58 2022 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Thu, 14 Apr 2022 17:52:58 +0200 Subject: Connectionists: ICPR'2022 Explainable AI WS Dead-Line extended Message-ID: <1BBBB5B8-53E5-442E-8688-6F50E45719ED@u-bordeaux.fr> We apologize if you receive this e-mail several times Call for papers: *******2-nd WS on Explainable and Ethical AI ? ICPR? 2022, ******** ***** to be held on August 21, 2022 in Montreal ******************************* https://xaie-icpr.labri.fr/ We are witnessing the emergence of an ?AI economy and society? where AI technologies are increasingly impacting many aspects of business as well as everyday life. We read with great interest about recent advances in AI medical diagnostic systems, self-driving cars, ability of AI technology to automate many aspects of business decisions like loan approvals, hiring, policing etc. However, AI systems may produce errors, can exhibit overt or subtle bias, may be sensitive to noise in the data, and often lack technical and judicial transparency and explainability. These shortcomings are raising many ethical and policy concerns not only in technical and academic communities, but also among policymakers and general public, and will inevitably impede wider adoption of AI in society. The problems related to Ethical AI are complex and broad and encompass not only technical issues but also legal, political and ethical ones. One of the key components of Ethical AI systems is explainability or transparency, but other issues like detecting bias, ability to control the outcomes, ability to objectively audit AI systems for ethics are also critical for successful applications and adoption of AI in society. Consequently, explainable and Ethical AI are very current and popular topics in various communities. Our proposed workshop aims to address technical aspects of explainable and ethical AI in general, and include related applications and case studies with the aim to address this very important problems from a broad technical perspective. The topics comprise but are not limited to: ? Naturally explainable AI methods ? Post-Hoc Explanation methods of Deep Neural Networks and Transformers ? Technical issues in AI ethics including automated audits, detection of bias, ability to control AI systems to prevent harm and others ? Methods to improve AI explainability in general, including algorithms and evaluation methods ? User interface and visualization for achieving more explainable and ethical AI ? Real world applications and case studies WorkShop Web Site: https://xaie-icpr.labri.fr Important Dates: April 30, 2022: Submission deadline May 31, 2022: Final decision June 6, 2022: Camera ready and early bid registration deadline August 21, 2022: Workshop Paper Submission: The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines . Two types of contribution will be considered: Full paper (12-15 pages) Short papers (6-8 pages) Paper Templates: are available on the website: https://xaie-icpr.labri.fr Program Committee: Alexandre Benoit, France, University Savoie Mont Blanc / LISTIC Jenny Benois-Pineau, France, Univ. Bordeaux / LaBRI Romain Bourqui, France, Univ. Bordeaux / LaBRI Andr? CPLF de Carvalho, Brazil, University of Sao Paulo / ICMC Christophe Garcia, France, LIRIS Mark Keane, Ireland, UCD Dublin / Insight SFI Centre for Data Analytics Harold Mouchere, France, Universit? de Nantes / LS2N Romain Giot, France, Univ. Bordeaux / LaBRI Th?o Jaunet, France, LIRIS Stefanos Kollias, Greece, National Technical University of Athens / Image, Video and Multimedia Systems Lab Noel O?Connor, Ireland, DCU Dragutin Petkovic, USA, SFSU Nicolas Thome, France, CNAM/Cedric Carlos Toxtli, USA, Northeastern University Jenny Benois-Pineau, Romain Giot, Romain Bourqui and Dragutin Petkovic Workshop Organizers Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux 351, crs de la Lib?ration 33405 Talence France tel.: +33 (0) 5 40 00 84 24 Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations School of Sciences and Technologies University of Bordeaux 351, crs de la Lib?ration 33405 Talence tel.: +33 (0) 5 40 00 84 24 -------------- next part -------------- An HTML attachment was scrubbed... URL: From coralie.gregoire at insa-lyon.fr Thu Apr 14 05:13:27 2022 From: coralie.gregoire at insa-lyon.fr (Coralie Gregoire) Date: Thu, 14 Apr 2022 11:13:27 +0200 (CEST) Subject: Connectionists: =?utf-8?q?The_ACM_Web_Conference_2022_-_Newslette?= =?utf-8?q?r=237_=E2=80=93_Detailed_Program=2C_Third_Keynote_Speaker=2C_Mo?= =?utf-8?q?re_Sponsors=2C_Register!?= Message-ID: <968675371.6387766.1649927607772.JavaMail.zimbra@insa-lyon.fr> [Apologies for the cross-posting, this call is sent to numerous lists you may have subscribed to] Contact us: contact at thewebconf.org The ACM Web Conference 2022 ** Newsletter#7 ? Detailed Program, Third Keynote Speaker, More Sponsors, Register! ------------------------------------------------------------ Read the online version of this newsletter at https://www2022.thewebconf.org/newsletter-07/ Join the 1000+ people who have already registered to The ACM Web Conference 2022 ------------------------------------------------------------ https://www2022.thewebconf.org/registration/ ** Detailed program is available ------------------------------------------------------------ Enjoy a very rich and diverse program composed of: - 3 amazing keynotes https://www2022.thewebconf.org/conference-keynotes/, - 4 exclusive sponsor talks https://www2022.thewebconf.org/conference-sponsor-talks/, - 323 papers in 11 Research Tracks https://www2022.thewebconf.org/accepted-papers/#research-block, - 41 papers in 3 Special Tracks https://www2022.thewebconf.org/accepted-papers/#special-block, - 77 papers in 5 Alternate Tracks https://www2022.thewebconf.org/accepted-papers/#alternate-bloc, - 116 papers and many invited talks in 22 Workshops https://www2022.thewebconf.org/accepted-workshop-papers, - 20 Tutorials https://www2022.thewebconf.org/tutorials/, - a job fair as well as a socializing space to meet our sponsors and exchange with all other participants online. https://www2022.thewebconf.org/job-fair/ Looking forward to this amazing edition to come! The detailed program is available at https://www2022.thewebconf.org/conference-schedule/ ** Keynote Speaker: Jaime Teevan (Microsoft) ------------------------------------------------------------ The ACM Web Conference Committee is proud to welcome Jaime Teevan (Microsoft) as Keynote Speaker of the conference! Jaime Teevan (https://www.microsoft.com/en-us/research/people/teevan/) (https://twitter.com/jteevan) is a Chief Scientist and Technical Fellow at Microsoft Research, leader of Microsoft?s FutureOfWork initiative and researcher on how COVID19 changed our way to hybrid work. She will give her Keynote talk on Friday April 29th, 2022. More information about our keynote speakers: https://www2022.thewebconf.org/conference-keynotes ** More Sponsors ------------------------------------------------------------ New sponsors joined The ACM Web Conference sponsorship program for 2022. We are proud to welcome and team up with: Platinum Sponsor: LinkedIn Systems Lab The LinkedIn Systems Lab works on novel technologies to apply innovative ideas to LinkedIn's infrastructure while engaging with the research communities. https://careers.linkedin.com/students Gold Sponsor: Inria Inria is the French national research institute for digital science and technology. With 200 project teams and 3,900 researchers, world-class research, technological innovation, and entrepreneurial risk are its DNA. https://www.inria.fr/en Gold Sponsor: Baidu Early adopter of artificial intelligence, to make content discovery on the internet easier, Baidu Research's mission is to make the complicated world simpler through technology. https://home.baidu.com/home/index Gold Sponsor: Amazon Science Amazon Science gives you insight into the scientific innovation of the most customer-centric company in the world! https://www.amazon.science/ Silver Sponsor: Meta The most interesting research questions are derived from real-world problems. Meta is working on cutting-edge research with a practical focus to push product boundaries every day. https://research.fb.com/ Silver Sponsor: Bloomberg Engineering News & the global capital markets are inextricably linked. Bloomberg Engineering uses information retrieval, machine learning, natural language processing & knowledge graphs to help clients understand which news will move markets. https://www.techatbloomberg.com Silver Sponsor: Microsoft Research Microsoft Research accelerates scientific discovery and technology innovation to empower every person and organization on the planet to achieve more. https://www.microsoft.com/en-us/research/ Bronze sponsors: Booking.com, eBay, Megagon, Spotify and data.world Other Sponsor: INSA Lyon Do you want to become a sponsor of The Web Conference 2022? Take a look at our sponsorship guide at: https://www2022.thewebconf.org/become-a-sponsor/ and contact us: marketing at thewebconf.org ============================================================ ** Facebook: https://www.facebook.com/TheWebConf ** Twitter: https://twitter.com/TheWebConf ** LinkedIn: https://www.linkedin.com/showcase/18819430/admin/ ** Website: https://www2022.thewebconf.org/ Copyright ? *The Web Conference 2022*. All rights reserved. The ACM Web Conference Newsletter will be sent periodically, roughly once every month leading up to the conference. No other use of your email will be done nor will it be sold or transmitted to any third party. To ** unsubscribe** from this newsletter, go to https://www.iw3c2.org/mailman/listinfo/newsletter or send an email to: ?contact at iw3c2 (dot) org? with the email address which requires to be unsubscribed. You can contact our Chief Privacy Officer at ?CPO (at) iw3c2 (dot) org? ===================================================================== Unsubscribe *|HTML:EMAIL|* from this list: *|UNSUB|* From hongzhi.kuai at gmail.com Thu Apr 14 03:34:06 2022 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Thu, 14 Apr 2022 16:34:06 +0900 Subject: Connectionists: CfP: Brain Informatics 2022 (April 25, Submission Due, Final Extended) Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 15th International Conference on Brain Informatics (BI'22) July 15-17, 2022 A Hybrid Conference with both Online and Offline Modes Co-hosted by University of Padua & University of Queensland Padova, Italy (In-Person) & Queensland, Australia (Online) Homepage: wi-consortium.org/conferences/bi2022/ The key theme: Brain Science meets Artificial Intelligence Celebrating the University of Padua's 800 years birthday +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - April 25, 2022 (final extended): Paper ( Regular and Short ) submission deadline *** Confirmed Keynote Speakers *** - Professor Silvestro Micera Full Professor, Bertarelli Foundation Chair in Translational Neuroengineering EPFL, Switzerland - Professor Robert Legenstein Institute Head, Institute of Theoretical Computer Science Graz University of Technology, Austria - Professor Gustavo Deco Director of the Center of Brain and Cognition Pompeu Fabra University, Spain - Professor Themis Prodromakis Director of the Centre for Electronics Frontiers University of Southampton, UK The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 15th International Conference on Brain Informatics (BI'22) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'22 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing *** Paper Submission and Publications *** Paper Submission ( Regular and Short ): ----------------- Main Conference On-Line Paper Submission: https://wi-lab.com/cyberchair/2022/bi22/scripts/submit.php?subarea=B WS/SS On-line Paper Submission: https://wi-lab.com/cyberchair/2022/bi22/scripts/ws_submit.php?subarea=S ----------------- Full papers should be limited to (10 to 12 pages) for the regular papers and (6 to 9 pages) for the short papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines ). Additional pages will be charged. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Submission (Only for Workshops/Special Sessions): -------------------- Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: ---------------------- High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal ( https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Special Issues & Books: ----------------------- Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: --------------------- BI'22 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: ----------------------- A workshop/special session typically takes a half-day (or full-day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Publications: ------------- Accepted workshop and special session full papers will be published at the same BI proceedings at the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series, or a special issue at the Brain Informatics Journal. *** IMPORTANT DATES *** - April 25, 2022 (final extended): Paper (Regular and Short) submission deadline - May 23, 2022: Paper acceptance notification - June 6, 2022: Final paper submission and registration deadline - July 15-17, 2022: Conference Organizing Committee ++++++++++++++++++++++ Advisory Board Chair: Ning Zhong (Maebashi Institute of Technology, Japan) * Maurizio Corbetta (Padua Neuroscience Center & University of Padova, Italy) * Tianzi Jiang (Institute of Automation, CAS, China) * Nikola Kasabov (Auckland University of Technology, New Zealand) * Peipeng Liang (CNU School of Psychology, China) * Hesheng Liu (Harvard Medical School & Massachusetts General Hospital, USA) * Guoming Luan (Sanbo Brain Hospital, China) * Stefano Panzeri (University Medical Center Hamburg-Eppendorf, Germany) * Hanchuan Peng (SEU-Allen Institute for Brain & Intelligence, China) * Shinsuke Shimojo (California Institute of Technology, USA) General Chairs * Mufti Mahmud (Nottingham Trent University, UK) * Stefano Vassanelli (University of Padova, Italy) * Andre van Zundert (University of Queensland, Australia) Program Chairs * Alessandra Bertoldo (University of Padova, Italy) * Gopikrishna Deshpande (Auburn University, USA) * Jing He (University of Queensland, Australia) Publication Chair * Can Wang (Griffith University, Australia) Workshop/Special Session/Tutorial Chairs * Alessia Sarica (Magna Graecia University, Italy) * Xiaohui Tao (University of Southern Queensland, Australia) * Alberto Testolin (University of Padova, Italy) * Vassiliy Tsytsarev (University of Maryland, USA) * Juan Velasquez (University of Chile, Chile) * Vicky Yamamoto (USC Keck School of Medicine, USA) * Yang Yang (BFU Department of Psychology, China) Local Organization Chairs * Michele Allegra (University of Padova, Italy) * Claudia Cecchetto (University of Padova, Italy) * Daniela Pietrobon (University of Padova, Italy) * Samir Suweis (University of Padova, Italy) * Mattia Tambaro (University of Padova, Italy) Publicity Chairs * Abzetdin Adamov (ADA University, Azerbaijan) * M Shamim Kaiser (Jahangirnagar University, Bangladesh) * Hongzhi Kuai (Maebashi Institute of Technology, Japan) * Francesco Morabito (Mediterranean University of Reggio Calabria, Italy) * Yanqing Zhang (Georgia State University, USA) Contact Us: http://wi-consortium.org/conferences/bi2022/contact.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Thu Apr 14 08:21:39 2022 From: pubconference at gmail.com (Pub Conference) Date: Thu, 14 Apr 2022 08:21:39 -0400 Subject: Connectionists: Call for Paper - Computational Intelligence and Neuroscience Special Issue Message-ID: Interpretation of Machine Learning: Prediction, Representation, Modeling, and Visualization 2022 https://www.hindawi.com/journals/cin/si/470979/ Call for papers This Issue is now open for submissions. Papers are published upon acceptance, regardless of the Special Issue publication date. ------------------------------ Description The exponentially growing availability of data such as images, videos and speech from myriad sources, including social media and the Internet of Things, is driving the demand for high-performance data analysis algorithms. Deep learning is currently an extremely active research area in machine learning and pattern recognition. It provides computational models of multiple nonlinear processing neural network layers to learn and represent data with increasing levels of abstraction. Deep neural networks are able to implicitly capture intricate structures of large-scale data and deploy them in cloud computing and high-performance computing platforms. The deep learning approach has demonstrated remarkable performances across a range of applications, including computer vision, image classification, face/speech recognition and medical communications. However, deep neural networks yield ?black-box? input-output mappings that can be challenging to explain to users. Especially in the medical, military and legal fields, black-box machine learning techniques are unacceptable, since decisions may have a profound impact on peoples? lives due to the lack of interpretability. In addition, many other open problems and challenges still exist, such as computational and time costs, repeatability of the results, convergence, and the ability to learn from a very small amount of data and to evolve dynamically. The aim of this Special Issue is to bring together original research articles and review articles that will present the latest theoretical and technical advancements of machine and deep learning models. Submissions about algorithms with improved computational efficiency and scalability are also welcome. We hope that this Special Issue will: 1) improve the understanding and explainability of deep neural networks; 2) enhance the mathematical foundation of deep neural networks; and 3) increase the computational efficiency and stability of the machine and deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following: - Supervised, unsupervised, and reinforcement learning - Classification, clustering, and optimization for big data analytics - Extracting understanding from large-scale and heterogeneous data - Dimensionality reduction and analysis of large-scale and complex data - Deep learning for time series forecasting - Quantifying or visualizing the interpretability of deep neural networks - Stability improvement of deep neural network optimization - Novel machine and deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security Publishing date 01 Dec 2022 Status Open Submission deadline 22 Jul 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Thu Apr 14 09:12:00 2022 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Thu, 14 Apr 2022 15:12:00 +0200 Subject: Connectionists: =?utf-8?q?Open_positions_for_AI_/_ML_professors_a?= =?utf-8?q?t_FHWS_in_W=C3=BCrzburg=2C_Germany?= Message-ID: We are creating a new center on artificial intelligence in Wuerzburg, Germany (CAIRO) with multiple open positions (right now we announced another professor positions) << W2 Professorship in Mathematical Foundations of Trustful Learning >> * English - Announcement: https://www.fhws.de/forschung/institute/idee/center/cairo/karriere/ (on the main page - W2 Professorship in Mathematical Foundations of Trustful Learning) * German - Announcement: https://stellen.fhws.de/jobposting/4a106eca93f4beee3be7c5c127aa6064c679fbc20?ref=homepage (Please apply via the provided link to our online application system) The positions are research professorships (German W2 level, well paid and a tenured life long positions) and will establish a center for AI (CAIRO) in Wuerzburg - do research & attract projects - have some minimal administrative duties - have only 9 x 45 min teaching duties per week (9 SWS) during the terms - will be involved in the new created MSc program on Artificial Intelligence (MAI) Additional funding to establish a group is also available. This is an exciting moment and chance. The positions are located here in Wuerzburg and the teaching will be (so far) in English only (it may be necessary to learn some German in the first two years). To be eligible it is mandatory to have 5 years working experience after MSc including at least 3 years of industrial experience (can be spread and industry related research (institutes) also count). Please spread the word - would be happy to see many applications Frank -- ------------------------------------------------------- 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 michael.schaub at rwth-aachen.de Fri Apr 15 04:42:14 2022 From: michael.schaub at rwth-aachen.de (Michael Schaub) Date: Fri, 15 Apr 2022 10:42:14 +0200 Subject: Connectionists: PhD positions at RWTH Aachen University Message-ID: In the context of the ERC Starting grant ?HIGH-HOPeS: Higher-Order Hodge Laplacians for Processing of multi-way Signals? we are offering a number of PhD positions. The first of these PhD positions is supposed to start in October 2022. For more information, see the following job-advert: https://www.rwth-aachen.de/cms/root/Die-RWTH/Arbeiten-an-der-RWTH/RWTH-Jobportal/~kbag/JOB-Einzelansicht/?file=V000002682&lidx=1 Michael Schaub From tiako at ieee.org Fri Apr 15 18:30:43 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Fri, 15 Apr 2022 17:30:43 -0500 Subject: Connectionists: CFP: 2022 OkIP Intl Conf on Data Technology and Engineering, Oct 3-6, Oklahoma City, OK, USA Message-ID: --- 1st Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Data Technology and Engineering (CDTE) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/CDTE002 Submission Deadline: July 11, 2022 CDTE aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies. CDTE will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journals publication. >> Data Concepts - Data Filtering | Data Conversion - Data Structures | Data Management - Data Virtualization | Data Integrity - Data Integration | Data Retrieval - Data Representation | Data Aggregation - Data Types | Data Grids | Data Warehouse - Metadata | Data Integration | Data fusion - Data Standards | Data Workflow - Data Interoperability | Data Integrity - Data Security/Privacy/Trust | Data Control >>Data Analytics and Processing - Business Intelligence | Data Governance - Descriptive analytics | Critical Device Data - Raw Data | Data Capture | Data Ingestion - Data Transformation | Data Processing - Data Visualization | Data Queries - Analytical Workloads | Prescriptive Analytics - Historical Data and Business Metrics - Transactional Workloads | Data Repositories - Batch and Streaming Data - Real-time Data | Point-of-Sale Data - Statistics Exploratory Data Analysis - Diagnostic Analytics | Cognitive Analytics - Data Warehouse Management - Predictive Analytics | Social Data Analytics - Online Analytical Processing - Semi-Structured Data | Unstructured Data >>Databases - Database System Internals and Performance - XML Databases | Graph Database - Temporal Databases | Spatial Databases - Query Optimization Techniques - Multimedia Databases | Distributed Databases - Mobile Databases | WWW and Databases - NoSQL Databases | Very Large Databases - Object-Oriented Database Systems - Database Architecture and Design >>AI in Data and Big Data - Data Encryption Techniques - Data Mining Theoretical Foundation - Scientific and Statistical Data Mining - Data Mining and Knowledge Discovery - Data Mining Products/Systems/Languages - Big Data Search/Mining | Web Mining - Decision Support Data Systems - Dimensional Data Modeling - Big Data Security/Privacy/Trust - Big Data Infrastructure | Web Analytics - Text Analytics | Big Data as a Service - Big Data and Information/Data Quality - Change Detection | Big Data Applications - Social Web Search and Mining - Deep Learning and Big Data - Big Data Computational Models - Smart Grid Big Data | Text Mining - Big Data Cloud Computing - Big Data Stream Computing - Intelligent Data Retrieval System >>Data and Databases Applications - Database Applications and Experiences - Scientific and Biological Databases - Smart Cities and Urban Data Analytics - Sensor Network Data Management - In-Network Data Processing - In-Memory/Purpose-built Databases - Distributed/Parallel/Peer to Peer Databases - Deep/Dark/Hidden Web Data Management - Energy-Efficient Data Centers - Storage Systems Security/Reliability - Data Loss/Breach Prevention & Protection - Visual and Audio Data Mining - Information Visualization - Open Source Databases - Software Engineering Data - Virtualized Data Center Network - Medical/Biomedical Big Data - Medical Data Interoperability/Security >>Data and Legal Issues - Data Privacy Issues| Sensitive Data - Data Regulation Laws | Data Protection Laws - Privacy-Preserving Techniques - Data Privacy Issues | Privacy Standards - Data Collection and Storage Issues - Intellectual Property/Copyright Laws >> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/21/page/60-committee Please feel free to contact us for any inquiry at: info at okipublishing.com -------- Pierre Tiako General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From sigurd.lokse at uit.no Sat Apr 16 07:07:24 2022 From: sigurd.lokse at uit.no (=?Windows-1252?Q?Sigurd_Eivindson_L=F8kse?=) Date: Sat, 16 Apr 2022 11:07:24 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_Contributions=3A_6th_No?= =?windows-1252?q?rthern_Lights_Deep_Learning_Conference=2C_10-12_January_?= =?windows-1252?q?2023=2C_Troms=F8_=28=93North_Pole=94=29=2C_Norway?= Message-ID: Please join for the 6th Northern Lights Deep Learning Conference (NLDL) on 10-12 January 2023 in Troms?, Norway, organized by Visual Intelligence and the UiT Machine Learning Group. We look forward to gathering the deep learning community again in the cool arctic air for a physical conference, after two years online. In addition, the NLDL winter school, which is a part of the NORA research school http://nora.ai, starts at Jan 9 and ends at Jan 13 and incorporates events during the main conference days. The winter school includes scientific topics, industry event, women in AI event, and transferrable skills. More information coming soon at http://www.nldl.org/winter-school. We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following: * Architecture, concepts and optimization * Deep learning for structured and unstructured data * Graph neural networks * Generative models * Bayesian Deep Learning * Lightweight / frugal Deep Learning * Explainability and interpretability of Deep Learning models * Computer vision * Natural language processing * Deep Learning for signals, images, 3D and hyperspectral images * Deep Learning applications to biology and medicine * Deep Learning application to environment and ecology * Deep Learning applications to Physics * Deep Learning for industrial applications As always, we are happy to have top international speakers. This year, for instance * Mark Girolami ? University of Cambridge/Alan Turing Institute * Mihaela van der Shaar ? University of Cambridge/Alan Turing Institute * Polina Golland ? MIT and more to come. We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings. The proceedings are approved as a level 1 publication in the Norwegian national list of authorized research publication channels; (2) Extended abstracts (2 pages) will be presented either as orals or as posters (but not published in the conference proceedings). The review process is double-blind. Deadline for both types of submissions: September 16th, 2022. Instructions on template etc. can be found on http://www.nldl.org. A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a Women in AI event and social events. We hope to see many participants for a nice scientific gathering on the ?north pole?, including social events, and hopefully some northern lights Kind regards, The NLDL 2023 organizing committee http://visual-intelligence.no http://machine-learning.uit.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Sat Apr 16 08:42:08 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Sat, 16 Apr 2022 08:42:08 -0400 Subject: Connectionists: Joint CfP: *~12 days left* to submit your abstracts for the Hybrid 21st ISWC 2022 Research, In-Use and Resource tracks Message-ID: *Joint CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ In this announcement: 1. Call for Research papers 2. Call for In-Use papers 3. Call for Resource papers *== Important Dates ==* Abstracts: 28th April, 2022 Full papers: 5th May, 2022 1. Call for Research papers ******************************************* The* research track* of ISWC 2022 solicits novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. We welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, SHACL, etc.) that may also lie 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. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/research-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Aidan Hogan, Department of Computer Science, Universidad de Chile ahogan at dcc.uchile.cl - Uli Sattler, Department of Computer Science, University of Manchester Uli.Sattler at manchester.ac.uk 2. Call for In-Use papers ******************************************* The track aims to give a stage to solutions for real-world problems in which Semantic Web and Knowledge Graph technologies play a crucial role. Real-world applications of these technologies in combination with machine learning, deep learning and other AI techniques are of particular interest. 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 and Knowledge Graph technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web and Knowledge Graph research communities. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/in-use-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Jo?o Paulo A. Almeida, Federal University of Esp?rito Santo, Brazil - Hideaki Takeda, National Institute of Informatics, Japan Contact: In-UseTrack-iswc2022 at easychair.org 3. Call for Resource papers ******************************************* The ISWC 2022 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://iswc2022.semanticweb.org/index.php/resources-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Valentina Presutti, LILEC Department, University of Bologna, Italy valentina.presutti at unibo.it - Maria Keet, Department of Computer Science, University of Cape Town, South Africa mkeet at cs.uct.ac.za Follow us 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 - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 16 04:19:40 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 16 Apr 2022 10:19:40 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration April 17 Message-ID: <84962797.134862.1650097180162@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: April 17, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wolfram Burgard (University of Freiburg), Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Daniele Bonacorsi (University of Bologna), [intermediate/advanced] Applied ML for High-Energy Physics Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Peng Cui (Tsinghua University), [introductory/advanced] Towards Out-Of-Distribution Generalization: Causality, Stability and Invariance S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning Shirley Ho (Flatiron Institute), [intermediate] Structured Machine Learning for Simulations Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [introductory/intermediate] Deep Learning with Limited Data Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Maurizio Pierini (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by October 9, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Sat Apr 16 18:39:59 2022 From: gangluo at cs.wisc.edu (GANG LUO) Date: Sat, 16 Apr 2022 22:39:59 +0000 Subject: Connectionists: Call for Papers - International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2022) In-Reply-To: References: Message-ID: -- Call for Papers -- The Eighth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2022) In Conjunction with VLDB 2022 Sydney, Australia - virtual event September 9, 2022 https://sites.google.com/view/vldbdmah2022/ The format of the workshop is to be decided, but a virtual format will be provided for remote participation. 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 2022 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Short papers will be 6 pages. 3) Abstracts will be 2 pages Important Dates: Abstract (optional): May 10, 2022 Individual Workshop Papers: May 16, 2022 Notification of Acceptance: June 10, 2022 Camera Ready: June 25, 2022 Workshop date: September 9, 2022 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: Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Dejun Teng, Alibaba Inc., China Jun Kong, Georgia State University, USA From vincentthunder2011 at gmail.com Sun Apr 17 13:29:06 2022 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Mon, 18 Apr 2022 01:29:06 +0800 Subject: Connectionists: [Deadline Extended] IEEE GLOBECOM22 - Social Networks Message-ID: [image: image.png] IEEE Global Communications Conference (Globecom 2022) 4?8 December 2022 Rio de Janeiro, Brazil Selected Areas in Communications?Social Networks Symposium Co-Chairs Neeli R. Prasad, TrustedMobi ?VehicleAvatar Inc.?, USA, neeli.prasad at vehicleavatar.com Scope and Motivation Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Moreover, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to the interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in social networks. Topics of Interest The Social Networks SAC seeks original contributions in the following topical areas, plus others that are not explicitly listed but are closely related: - Infrastructure, platform, protocol design, and optimization for mobile social networks, mobile social clouds, and social Internet-of-Things with Artificial Intelligence - Social-aware network solutions and social network influence on (wireless) communications systems - Cross-layer design for social networks and the underlying communications and network platforms, and subsequent new design paradigm for future (wireless) communications - Network graph modeling, measurements, simulations, and experiments - Analysis of dynamics and control of belief, influence, and rumor propagations in the evolutions of social networks - Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts - Trusted networking, privacy and security, user behaviors and dynamics, and digital right management, for big data in social networks - Innovative social network applications and services to mobile Internet, multimedia networks, mobile-commerce, cyber-physical systems, and their potential social, economic, and cultural impacts - Multidisciplinary and interdisciplinary research on social networks Important Dates - Paper Submission: 8 May 2022 - Notification: 25 July 2022 - Camera Ready and Registration: 1 September 2022 How to Submit a Paper All papers for technical symposia should be submitted via EDAS. Full instructions on how to submit papers are provided on the IEEE Globecom 2022 website: https://globecom2022.ieee-globecom.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 1013618 bytes Desc: not available URL: From jose at rubic.rutgers.edu Mon Apr 18 09:19:10 2022 From: jose at rubic.rutgers.edu (=?UTF-8?Q?Stephen_Jos=c3=a9_Hanson?=) Date: Mon, 18 Apr 2022 09:19:10 -0400 Subject: Connectionists: New paper brain networks-- neural networks---and DL? Message-ID: Dear Connectionists: This is a critical? commentary on the field of neuroimaging/brainmapping/cognitive neuroscience using fMRI in particular. In it I point to the trend in brain imaging of studying brain networks and how , at the same time, "blobology" has failed. I also believe there will also be a critical collision in the near future between Brain Network Science (in these more macro measures like fMRI) and the Deep-Learning revolution we find ourselves at present. Cheers, Steve link to frontiers human neuroscience piece---https://www.frontiersin.org/articles/10.3389/fnhum.2022.870091/full -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.png Type: image/png Size: 34455 bytes Desc: not available URL: From hypeuler at gmail.com Mon Apr 18 08:11:23 2022 From: hypeuler at gmail.com (Erman Acar) Date: Mon, 18 Apr 2022 14:11:23 +0200 Subject: Connectionists: Call for Papers: KR4HI (1st International Workshop on Knowledge Representation for Hybrid Intelligence) Message-ID: Might also be of interest for neuro-symbolic folks. IMPORTANT DATES Submission deadline: ??A?p?r?i?l? ?1?4?t?h? May 1st, 2022 (AoE) Notification of acceptance: May 25th, 2022 Workshop date: June 14th, 2022 Place: Amsterdam, The Netherlands Website: https://sites.google.com/view/kr4hi/home Note that accepted papers will be invited to a follow-up journal special issue on AI Communications There will be a invited talk by Prof. Ufuk Top?u. SUMMARY As artificial intelligence (AI) technologies playing more important roles in our daily lives than ever before, designing intelligent systems which can work with humans effectively (instead of replacing them) is becoming a central research theme, giving rise to hybrid intelligence (HI). HI stands for combining human and machine intelligence as a team in various scenarios, aiming to benefit from the complementary powers of both components in solving problems. Developing such systems requires fundamentally novel solutions to major research problems in AI: current AI systems outperform humans in many cognitive tasks e.g., in pattern recognition or in playing video games, yet they fall short when it comes to tasks such as causal modelling, common sense reasoning, and behavioural human capabilities such as explaining its own decisions, adapting to different environments, adaptability to multiple contexts, collaborating with other human agents, etc. A particular challenge in developing such systems is to work with human input (high-level symbolic constraints or behavioural data).Knowledge representation (KR) as a sub-discipline of AI, deals with representing background knowledge and reasoning with symbolic constraints. KR has a key potential for contributing to the development of HI systems, because it naturally brings human understanding and the formal semantics (the understanding of machine) together. With this idea in mind, we welcome a wide array of works that use a KR formalism (or develop one) in an HI scenario. These works can range from purely theoretical to applied, or from purely symbolic to neural-symbolic ones, e.g., ?learning systems which consider human demonstrations and symbolic constraints into account? to ?explainable AI systems that generate symbolic explanations for humans? or can be in the context of socio-technical systems in which hybrid intelligence inherently falls under. THEME OF SUBMISSION The workshop has an interdisciplinary theme and is intended to welcome any work from any discipline which uses a KR formalism in a HI scenario. The relevant themes to be used in HI scenario include but are not limited to: ? Argumentation Frameworks ? Integrating Learning and Reasoning (Neuro-Symbolic systems, Statistical Relational Learning) ? Formal or Applied Ontologies (Knowledge Graphs, Description Logics) ? Causal Inference/Counterfactual Reasoning ? Preferential/Contextual Reasoning ? Constraint Programming ? Epistemic Logics and Theory of Mind ? Formal Concept Analysis ? Non-monotonic Reasoning (Answer-set Programming, Datalog) ? Models of uncertainty (Probabilistic Graphical models, Probabilistic/Fuzzy Logics) ? Temporal logics (Single-agent / Multiagent Logics) SUBMISSIONS Submission format: Submissions for contributing papers must be original (i.e., not submitted to any other venue) and are required to be in CEUR format (see http://ceur-ws.org/HOWTOSUBMIT.html ) with 12 pages + references (+supplementary material if necessary), and anonymised. Previously published articles can be submitted in the form of extended abstracts (2 pages + references). The review process: The review process will be carried out as single-blind, that is the authors are required to make their submissions anonymised. (Extended abstract submission are exempt from that restriction.) Publication Accepted papers will be published in CEUR workshop proceedings. Submission page: https://easychair.org/my/conference?conf=kr4hi JOURNAL SPECIAL ISSUE Selected papers will further be invited for (extended version) submission to a special issue of the journal AI Communications. PROGRAM COMMITEE Erman Acar (Leiden University & Vrije Universiteit Amsterdam, NL) Vaishak Belle (University of Edinburgh, UK) Thomas Bolander (Technical University of Denmark, DK) Ricardo Guimar?es (University of Bergen, NO) Loan Ho (Vrije Universiteit Amsterdam, NL) Robert Loftin (TU Delft, NL) Andrea Mazzullo (Free University of Bozen-Bolzano, IT) Nicole Orzan (University of Groningen, NL) Ana Ozaki (University of Bergen, NO) Cosimo Persia (University of Bergen, NO) Rafael Pe?aloza Nyssen (University of Milano-Bicocca, IT) Nico Potyka (Imperial College London, UK) Jandson S. Riberio (Fern Universit?t Hagen, DE) Fernando Santos (University of Amsterdam, NL) Andreas Sauter (Vrije Universiteit Amsterdam, NL) Rieneke Verbrugge (University of Groningen, NL) Frank van Harmelen (Vrije Universiteit Amsterdam, NL) Ben Wright (Northeastern University, USA) ?TBE-- ORGANISING COMMITTEE Erman Acar (Leiden University & Vrije Universiteit Amsterdam) Thomas Bolander (Technical University of Denmark) Ana Ozaki (University of Bergen) Rafael Pe?aloza (University of Milano-Bicocca) CONTACT For any question, please contact Erman Acar via email: e.acar at liacs.leidenuniv.nl or erman.acar at vu.nl ---- Erman Acar, PhD Reinforcement Learning Group , Leiden Institute of Advanced Computer Science , Universiteit Leiden -- Knowledge Representation and Reasoning Group Department of Computer Science , Vrije Universiteit Amsterdam -- Civic-AI Lab Amsterdam -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Tue Apr 19 09:34:59 2022 From: Pavis at iit.it (Pavis) Date: Tue, 19 Apr 2022 13:34:59 +0000 Subject: Connectionists: Postdoc position in Deep Learning on Graphs - IIT, Genova, Italy Message-ID: <25445621c9774e9f99194b6d46c81855@iit.it> Postdoc position in Deep Learning on Graphs (2200003E) Commitment & contract: up to 18 months - collaboration contract Location: Istituto Italiano di Tecnologia, Via Enrico Melen 83,Genova - Italy WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer-stations based in the US for a truly interdisciplinary experience. YOUR TEAM You?d be working in a multicultural and multi-disciplinary group, where Physicists, Engineers, Computer Vision and Computational Intelligence experts collaborate, each with their own expertise, to carry out common research. The Pattern Analysis and Computer Vision (PAVIS) Research Line is coordinated by Dr. Alessio Del Bue leading a team of more than 20 units working on advancing the state of the art in Computer Vision and Machine Learning. The research focuses on novel computational models related to graph neural networks and constrained deep learning to solve challenging problems in life science and physics. Within the team, your main responsibilities will be: Investigate and develop new Deep Learning methods for large-scale graph data structures Supervise PhD students WHAT WOULD MAKE YOU SHINE A PhD in Computer Science, Machine Learning, Computer Vision and similar disciplines Documented experience on the Deep Learning, with a special focus on Graph Neural Networks Strong programming ability (Python preferred) A relevant publication record The ability to properly report, organize and publish research data Documented experience in coaching junior scientists Good command in spoken and written English EXTRA AWESOME Experience on Deep Learning tools such as Pytorch, Tensorflow, etc... Knowledge of Graph Theory Good communication skills Strong problem solving attitude High motivation to learn Spirit of innovation and creativity Good in time and priority management Ability to work in a challenging and international environment Ability to work independently and collaboratively in a highly interdisciplinary environment COMPENSATION & BENEFITS Competitive salary package for international standards Private health care coverage Wide range of staff discounts Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years. WHAT?S IN FOR YOU? An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us! We like contamination and encourage you to mingle and discover what other people are up to in our labs! If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation! If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations. If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society! We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission! If you feel this tickles your appetite for change, do not hesitate and apply! HOW TO APPLY Please submit your application using the online form https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2200003E and including a detailed CV, university transcripts, cover letter (outlining motivation, experience and qualifications)and contact details of 2 references. Application?s deadline: April 30th 2022 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 Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.hennig at ed.ac.uk Tue Apr 19 05:57:27 2022 From: m.hennig at ed.ac.uk (Matthias Hennig) Date: Tue, 19 Apr 2022 10:57:27 +0100 Subject: Connectionists: Faculty position in Machine Learning at the University of Edinburgh Message-ID: Dear all, We are hiring a lecturer or reader (assistant/associate professor) in machine learning in the Institute for Adaptive and Neural Computation, School of Informatics at the University of Edinburgh, as part of a continuing expansion in Machine Learning and Artificial Intelligence. https://tinyurl.com/frp3tkd4 Feel free to contact me (m.hennig at ed.ac.uk) or Michael Gutmann (michael.gutmann at ed.ac.uk) for any enquiries. Best, Matthias -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From cgf at isep.ipp.pt Mon Apr 18 06:14:40 2022 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 18 Apr 2022 11:14:40 +0100 Subject: Connectionists: CFP: HLPP 2022 - Submission Date Extended to May 6, 2022 ** Hard Deadline ** Message-ID: <52f58252-41a6-a806-6ea4-ff62874814df@isep.ipp.pt> --------------- CALL FOR PAPERS --------------- HLPP 2022 The 15th International Symposium on High-level Parallel Programming and Applications Porto, Portugal, 7-8 July, 2022 https://hlpp2022.dcc.fc.up.pt/ ---------------------- Aims and scope of HLPP ---------------------- As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 15th Symposium on High-Level Parallel Programming and Applications will be held in the Porto, Portugal. ------ Topics ------ HLPP 2022 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: * High-level programming, performance models (BSP, CGM, LogP, MPM, etc.) and tools * Declarative parallel programming methodologies * Algorithmic skeletons and constructive methods * Declarative parallel programming languages and libraries: semantics and implementation * Verification of declarative parallel and distributed programs * Software synthesis, automatic code generation for parallel programming * Model-driven software engineering with parallel programs * High-level programming models for heterogeneous/hierarchical platforms * High-level parallel methods for large structured and semi-structured datasets * Applications of parallel systems using high??-level languages and tools * Formal models of timing and real-time verification for parallel systems ------------------ Program Chairs ------------------ In?s Dutra, University of Porto, Portugal Jorge Barbosa, University of Porto, Portugal Miguel Areias, University of Porto, Portugal ------------------ Publicity Chair ------------------ Carlos Ferreira, Polytechnic Institute of Porto ----------------- Program Committee ----------------- Marco Aldinucci, University of Torino, Italy Murray Cole, The University of Edinburgh, UK Iacopo Colonnelli, University of Torino, Italy Fr?d?ric Dabrowski, LIFO - Universit? d'Orl?ans, France Marco Danelutto University of Pisa, Italy Jo?o Gama, University of Porto, Portugal Arturo Gonzalez-Escribano, The University of Valladolid, Spain Clemens Grelck, University of Amsterdam, Netherlands Dalvan Griebler, PUCRS/SETREM, Brasil Ga?tan Hains, Huawei Paris Research Center, France Ali Jannesari, Iowa State University, USA Christoph Kessler, Link?ping University, Sweden Peter Kilpatrick, Queen's University Belfast, UK Herbert Kuchen, University of M?nster, German Kiminori Matsuzaki, Kochi University of Technology, Japan Virginia Niculescu, Babe?-Bolyai University, Romania Aleksandar Prokopec, Ecole Polytechnique F?d?rale de Lausanne, Switzerland Nuno Roma, University of Lisbon, Portugal Kostis Sagonas, Uppsala University, Sweden Jo?o Sobral, University of Minho, Portugal Massimo Torquati, University of Pisa, Italy ---------------- Important dates ---------------- Submission deadline: May 6, 2022(AoE) *** Hard Deadline *** Author notification: June 3, 2022 Camera-ready for draft proceedings: July 1, 2022 Early registration deadline: June 8, 2022 Symposium: July 7-8 (Thursday/Friday) IJPP (HLPP special issue) submission deadline: October 28, 2022 IJPP (HLPP special issue) camera-ready for journal publication: December 2, 2022 ---------------- Paper submission ---------------- Papers submitted to HLPP 2022 must describe original research results and must not have been published or simultaneously submitted anywhere else. Manuscripts must be prepared with the Springer IJSS latex macro package using the single column option (\documentclass[smallextended]{svjour3}) and submitted via the EasyChair Conference Management System as one pdf file. The strict page limit for initial submission and camera-ready version is 20 pages in the aforementioned format. Each paper will receive a minimum of three reviews by members of the international technical program committee. Papers will be selected based on their originality, relevance, technical clarity and quality of presentation. After the symposium the authors of the accepted papers will have ample time to revise their papers and to incorporate the potential comments and remarks of their colleagues. We expect the HLPP 2022 special issue of the International Journal of Parallel Programming (IJPP) to appear online-first by the end of the year and the printed edition in mid-2023. ----------- Proceedings ----------- Accepted papers will be distributed as informal draft proceedings during the symposium and will be published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). ----- Venue ----- HLPP 2022 will be hosted by the Dept. of Computer Science (GPS coords 41.152545, -8.640758) of the Faculty of Sciences of the University of Porto (FCUP). Participants may reserve rooms in several of the nearby Hotels. As the symposium will be held in the tourist season, the organizers recommend a timely reservation of rooms. 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 jaime at unex.es Tue Apr 19 05:15:01 2022 From: jaime at unex.es (=?iso-8859-1?Q?JAIME__GAL=C1N_JIM=C9NEZ?=) Date: Tue, 19 Apr 2022 09:15:01 +0000 Subject: Connectionists: [Deadline Extended] Workshop on Management of Cloud and Smart City Systems (MoCS 2022) Message-ID: <91588156-60EF-41D9-8BB3-D040889F28CD@unex.es> *[Please accept our apologies if you receive multiple copies of this announcement]* ******************************************************************************************************* [Deadline Extended] Workshop on Management of Cloud and Smart City Systems (MoCS 2022) https://sites.google.com/view/mocs2022 Organized in association with IEEE Symposium on Computers and Communications (ISCC 2022) 30th June 2022, Rhodes Island, Greece ******************************************************************************************************* The last years have witnessed a permanent change of vision of cloud systems. Nowadays, the most important stakeholders such as private companies, public agencies, research communities and citizens rely on the cloud for a number of purposes, ranging from sharing hardware infrastructures to software, data, and sensing services. The services designed for complex scenarios like distributed clouds, Internet of Things, smart cities, and the upcoming Industry 5.0, pave the path for a new era of the cloud. The complexity of human dynamics in a city can be better analyzed by decentralizing the infrastructure, integrating and opening the data and sharing the services. The distributed cloud paradigm is a key enabling technology, whereby applications and network functions are hosted in the cloud-to-thing continuum. By being closer to the end-user, besides better supporting low-latency applications, MEC systems are a candidate architecture for such a decentralized, context-aware infrastructure. Despite such a rapid (re-)evolution of edge-cloud systems, the extremely heterogeneous smart city applications (sensing as a service, crowd sensing, etc.) makes the satisfaction of all the requirements a big challenge. In this context, emergent paradigms like artificial intelligence (AI), machine learning (ML), privacy-enhancing technologies (PET) and blockchain (BC) are key enablers for cloud-to-thing systems to shape the development of autonomic orchestration and networking. The workshop on Management of Cloud and Smart city systems (MoCS) started following the "cloud" revolution about 11 years ago. MoCS 2022, in its 12th edition, is organized in association with the 27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022). The focus of MoCS 2022 is in the convergence of distributed clouds, context and privacy-aware applications for complex scenarios like smart cities and learning-driven approaches for urban planning. The workshop aims at disseminating results on both theoretical and applicative aspects. Topics of interest ------------------- - Application of distributed clouds to smart cities services. - Models for context-aware crowdsensing techniques at urban-level scale. - Human-enabled Edge Computing (HEC) paradigm. - Cloud to Edge continuum. - Edge data center deployment in urban environments. - Cloud quantum service model. - Hybrid quantum for smart city systems. - ML- and AI-based approaches cloud/edge-based smart city applications. - AI-driven models, architectures, and frameworks for edge computing. - Experiences on the (re)use of open platforms for cloud-integrated smart cities services. - Design and evaluation tools for scalability and efficient resource allocation in smart cities. - Design and application of cloud/edge technologies to Intelligent Transport Systems (ITS). - Vehicular cloud architectures for provisioning of smart cities services. - Models and paradigms for the management of cloud/MEC services within/between data. - Data-driven approaches for smart transportation in urban areas. - Blockchain solutions for secure and reliable transactions between the counterparts in data sharing/trading. - Security and privacy techniques to cloud/edge-based smart city applications. - Post-quantum security and privacy for smart city applications. Important Dates --------------- - Submission: April 24, 2022 - Notification: April 30, 2022 - Camera-ready: May 6, 2022 Paper submission ---------------- Prospective authors are invited to submit original technical papers for publication in MoCS 2022. Manuscripts should be written in English with a maximum paper length of 6 printed pages for full papers. All manuscripts should adhere to the IEEE double column conference proceedings (https://www.ieee.org/conferences_events/conferences/publishing/templates.html). At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be included in the ISCC 2022 Proceedings and submitted for inclusion to IEEE Xplore library. The IEEE ISCC Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the IEEE ISCC Workshops publication venues with very high visibility and impact in both Computer and Communications areas. From mtkostecki at gmail.com Tue Apr 19 07:48:09 2022 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Tue, 19 Apr 2022 13:48:09 +0200 Subject: Connectionists: Nencki School of Ideas in Neuroscience Message-ID: Hello! We are happy to announce our Nencki School of Ideas in Neuroscience! It is often being said that neuroscience desperately needs ideas. We are flooded by data and it is harder and harder to make sense of it. But, at the same time, most courses and workshops in neuroscience teach us experimental techniques, giving us more tools to gather even more data. But we are not taught how to develop ideas. We believe that theoretical thinking and idea development is a skill ? a skill that can be trained and developed. Our school will aim at teaching how to develop theoretical thinking, how to create ideas, and put their research in a broader context. We want you to learn how to make sense of data. Our guests are Eve Marder, Luiz Pessoa, Jacqueline Gottlieb, Yukie Nagai, Gregory Kohn, Paul Cisek, Joel Z Leibo, Romain Brette, Jacqueline Sullivan, Adrien Doerig, Nicole Nelson, Marcin Mi?kowski, Liad Mudrik, Wiktor M?ynarski and Mel Andrews. Please find more info and the registration form here - https://nenckiopenlab.org/school-of-ideas/ See you in Warsaw! Mateusz -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Tue Apr 19 10:53:29 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Tue, 19 Apr 2022 15:53:29 +0100 Subject: Connectionists: CRNS Talk Series (6) - Live Talk by Prof. Jochen Triesch - Frankfurt Institute for Advanced Studies - Germany Message-ID: Dear All * Apologies for cross-posting* The* Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Prof. Jochen Triesch* from *Frankfurt Institute for Advanced Studies* - Germany on Wednesday, *April 27th* from *11:00 am *to *12:30 pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/94978385874?pwd=WXlOYXpJYzlQRnFQTmFYekloSDVsZz09&from=addon >> *Title of the talk*: Learning to see without supervision *Abstract*: Biological brains can learn much more autonomously than today?s AI systems and robots. How does this work and can we reproduce such autonomous learning abilities in artificial systems? Over the last years we have been studying this question for the case of visual perception. We have constructed models of how human infants learn to see the world in three dimensions, begin to track moving objects and learn to recognize them without any supervision. We have compared these models to biological data and validated them on physical robots. Studying the computational principles underlying these learning processes, we highlight effective information compression as the central driving force behind our brain?s ability to learn to see without supervision. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From chz8 at aber.ac.uk Wed Apr 20 12:13:56 2022 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Wed, 20 Apr 2022 16:13:56 +0000 Subject: Connectionists: SPECIES Scholarships - Final Call for Host Applications (Deadline 25 April 2022) Message-ID: <78358D7F-E0AB-45E2-B28A-0E0AEDB01A02@aber.ac.uk> (Apologies for cross-posting) ********************************************************************************* SPECIES Scholarships - Final Call for Host Applications Website: http://species-society.org/scholarships-2022/ Email: students at species-society.org Deadline for host applications: 25 April 2022 ********************************************************************************* SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings, is proud to announce the 3rd round of SPECIES scholarships. The scheme will be open to both PhD students and recent PhD graduates, who have graduated in the 24 months prior to the submission deadline. The recipients of the scholarships will receive an allowance of 900 euros per month to cover accommodation and living expenses to spend three months at a hosting institution, working under the supervision of an advisor. In the first stage, we are inviting worldwide applications for host institutions. Applications for candidates will open in early May 2022. More information including conditions of the scholarships and details on how to apply can be found on the SPECIES website: http://species-society.org/scholarships-2022/ students at species-society.org Deadline for host applications: 25 April 2022 ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. From bhammer at techfak.uni-bielefeld.de Wed Apr 20 12:51:18 2022 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Wed, 20 Apr 2022 18:51:18 +0200 Subject: Connectionists: Hybrid Inauguration Lecture Alexander von Humboldt professor Prof. Yaochu Jin Message-ID: Dear colleagues, we have the pleasure to announce the inauguration speech of our new AI Alexander von Humboldt professor at Bielefeld University, Yaochu Jin, who will talk about the topic Towards Evolutionary Developmental Artificial Intelligence *next Wednesday, April 27th, 4.15 pm*, in a hybrid lecture taking place in the lecture series of our joint AI institute JAII https://jaii.eu/ Please find the abstract below. Please register here to get the link. More information are available at the JAII web site https://jaii.eu/ AvH professorships constitute the highest endowed individual research award in Germany's research landscape, granted to outstanding researchers in the field, with AI as recent special funding line: https://www.humboldt-foundation.de/entdecken/newsroom/dossier-alexander-von-humboldt-professur/yaochu-jin Best wishes Barbara -- Hybrid Lecture by Humboldt Professor Yaochu Jin on April 27, 16:15-17:45 CET,? "Towards Evolutionary Developmental Artificial Intelligence" Considering the limitations of the deep learning approach to artificial intelligence, this talk proposes to understand and emulate human intelligence from an evolutionary developmental perspective. We first provide a brief introduction to the biological findings about evolution and development of human brain and nervous systems. Then preliminary computational models of neural and morphological evolution and development are presented. Experimental results reveal that energy minimization is a main principle behind the organization of nervous systems and there is a close coupling between body and brain in evolution and development. Finally, we describe some recent advances in computational modeling of neural plasticity embedded in the reservoir computing and discuss their influences on the learning performance of echo state networks and spiking neural networks. The talks is concluded by an outline of future research. -- Prof. Dr. Barbara Hammer Machine Learning Group, CITEC Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Wed Apr 20 19:37:34 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Wed, 20 Apr 2022 18:37:34 -0500 Subject: Connectionists: CFP: 2022 OkIP Intl Conf on Advances in Health Information Technology, Oct 3-6, Oklahoma City, OK, USA Message-ID: [Apologies if you receive multiple copies] =========================================== --- 1st Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Advances in Health Information Technology (AHIT) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/AHIT002 Submission Deadline: July 11, 2022 AHIT aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies. AHIT will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journals publication. >> HIT Concepts and Design - Patient Portals | Virtual Consultation - Electronic Medical Records and Standards - Patient-Doctor Relationship - Technology Adoption/Diffusion/Use/Evaluation - eHealth Platform Design/Implementation - Patient Safety | Point-of-Care Diagnostic - Health Imaging | Patient Monitoring - eHealth Research Method - Health Authentication/Authorization - eHealth Emerging Trends - Telemedicine | Internet of Medical Things - Medical Diagnostic Imaging - Ageing and Disability | Remote Monitoring - eHealth Design/Development Methodologies - Medical Coding/Billing/Payment - Mobile Health Application/Technology - Healthcare Referral - eHealth and mHealth Economy - eHealth Clinical Cases - Healthcare Services Modeling - Clinical Information Sharing - Community Health Information Network - Digital Health Ecosystem - Virtual Counseling | Computer-aided Diagnosis - Internet-based Health Interventions >> AI in Health - Decision Support Systems - Medical Data Mining Analysis - Health Expert Systems | eHealth Blockchain - Health Knowledge Management - Cognitive Informatics | Affective Computing - Physiological and Behavioral Modeling - Pattern Recognition and Machine Learning - Clinical Decision Support Systems - Games for Health | Motion Gaming - Health Promotion AI | Exergaming - Healthcare Predictive Modeling - Smart Personalized Healthcare Guidance - AI Learning-Recommendations - Healthcare Explainable AI - Classification Algorithms - Healthcare Advisor Model - Big Data in Healthcare and Biomedical >> Health Safety, Data, and Security - Health Data Interoperability/Integration - Medical Data Visualization - Blockchain in Healthcare | Prognostics - Medical Data Confidentiality/Security - Health/Biomedical Big Data - Data Communication Security - Occupational Health and Safety - Electronic Prescription Systems - Hazard Recognition/Evaluation/Control - Health Critical Infrastructure Protection - Healthcare Delivery Improvement - Personal Privacy Protection - Health Data Anonymization/Pseudonymization >> HIT Systems and Applications - Health Applications - Software Systems in Medicine - Mobile Technologies for Health Applications - Wearable Health Informatics - Therapeutic Systems/Technologies - Assistive Interfaces/Tools/Technologies - Pervasive Health Systems and Services - Healthcare Management Systems - eHealth Social Network | eHealth New Media - Health Electronic Commerce - Monitoring Systems | Home Health Systems - Medical Rehabilitation Technologies - Biomedical/Sensor Monitoring - Noninvasive Sensor Applications - Electronic/Implanted Health Sensors - Innovative Healthcare Diagnostic Tools - Cloud for eHealth Services >> HIT Regulation and Legal Issues - General Data Protection Regulation - Patient Data Access | Privacy Concern - eHealth Governance/Risks/Challenges - eHealth Policy | Telemedicine Regulation - Health Information Disclosure/Sensitivity - Consent Management - Data Protection Regulations - Trusted Health Information Environment - Clinical Trial Regulations - Medical Device Regulation/Standard >> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/26/page/70-committee Please feel free to contact us for any inquiry at: info at okipublishing.com -------- Pierre Tiako General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Apr 19 12:27:02 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 19 Apr 2022 18:27:02 +0200 Subject: Connectionists: CFP Communities in Networks @NetSci 2022 July 11-12, 2022 Message-ID: Communities in Networks July 01, 2021 An Online Workshop Satellite of NetSci 2022 Submission deadline: May 30, 2022 Acceptance notification: June 10, 2022 Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed to better understand the impact of their structure and dynamics on networked systems. Therefore, the primary goal of this satellite workshop is to demonstrate the cutting-edge research advances on community structures in networks to provide a landscape of research progress and application potentials in related areas. Papers ranging from a broad nature to various aspects of community structure with substantial algorithmic innovations and application-oriented works are solicited. Topics relevant to this satellite session include, but are not limited to, the following: Models of Communities Embedding Models of Communities Evolution/Temporal Communities Dynamic and/of Communities Community Detection Communities in Uncertain Data Entropy Metrics for Communities Visual Representation of Communities Parallel Algorithms for Communities Hierarchy and Ego-Networks Communities and Sampling Communities and Controllability Communities and Synchronization Communities and Machine Learning Communities and Resilience Communities and Link Prediction Communities in Social Networks Communities in Multiplex Communities in Economics & Finance Communities in Epidemics Communities in Rumor Spreading Communities in Mobile Networks Communities in Biological Networks Communities in Brain Communities in Technological Networks *CONTRIBUTION: * *Extended Abstracts* about published or unpublished research (2 to 4 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Selected contributions will be invited to submit an extended version to be published in a book of the Studies in Computational Intelligence book series edited by Springer. *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=comnets2022 *ORGANIZERS* *Hocine Cherifi University of Burgundy, France* *Gergely Palla E?tv?s Lor?nd University, Hungary* *Boleslaw Szymanski, Rensselaer Polytechnic Institute, Troy, NY, USA* Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* 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 samuel.kaski at manchester.ac.uk Tue Apr 19 14:53:43 2022 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Tue, 19 Apr 2022 18:53:43 +0000 Subject: Connectionists: 2 Senior Lecturer / Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK Message-ID: Manchester Centre for AI Fundamentals has positions open at all levels: Senior Lecturer, Lecturer, Research Fellow, Postdoc and PhD (funded) Now is the time to join the University of Manchester when it is significantly boosting its activities in Machine Learning.??????? The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields in the University, which give high-profile application and collaboration opportunities for the outcomes of fundamental AI research. The university is one of the most active partners of the national Alan Turing Institute, hosts 33 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems ELLIS, in the new ELLIS Unit Manchester. The university?s ambition is to establish a leading AI centre at the cross section of these opportunities. The university has recently launched a Centre for AI Fundamentals and has already recruited four new academics to it. These two lectureships continue this series of positions in establishing the new Centre. Applications are welcome in any area of the fundamentals of machine learning, in particular probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop ML, explainable AI, ethics, privacy and security. These positions are meant to contribute to machine learning methodologies and not purely to their applications, but note that applications of ML are highly valued within the university. You are expected to be interested in building your career by contributing to the new centre and exploring collaboration opportunities in both methods and applications in the university, in addition to building international networks. You will be located in the Department of Computer Science and, in addition to the new Centre for AI Fundamentals, you will belong to a large community of machine learning, data science and AI researchers. The university takes pride in its ability to collaborate seamlessly across its departments, schools and faculties. Some of the most useful links include the Alan Turing Institute, ELLIS, the Institute for Data Science and Artificial Intelligence, and the new Christabel Pankhurst Institute for Health Technology. DL For Senior Lecturer / Lecturer: May 5, 2022 More information: https://manchester.ac.uk/fun-ai https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=22127 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Stefano.Rovetta at unige.it Wed Apr 20 10:16:17 2022 From: Stefano.Rovetta at unige.it (Stefano Rovetta) Date: Wed, 20 Apr 2022 16:16:17 +0200 Subject: Connectionists: cfp: ICOA2022 - International Conference on Optimization and Applications Message-ID: <20220420161617.Horde.j0Fdst4wtaTnhVyV2TRxPJ-@posta.unige.it> ICOA2022 -------- International Conference on Optimization and Applications The 8th Edition - ICOA2022 06-07 October 2022, Sestri Levante, Italy The 8th Edition of the International Conference on Optimization and Applications (ICOA2022) provides a high-level international forum and an excellent venue for scientists, researchers, academic faculties, students, industry leaders, and others in the fields of optimization to present, discuss and publish their recent research results and approaches. The conference is an opportunity to develop new ideas and collaborations, to be aware of the latest search trends in the optimization techniques and their applications in the various fields. This 8th edition is enriched by very important special sessions that deal with problems using the latest methods of optimization. Topics include all aspects of optimization, ranging from theory to software implementations to relevant practical applications such as (for instance, but not limited to) machine learning, industrial workflows, man-machine collaboration. All accepted and presented papers will be published in IEEE Xplore Digital Library and indexed in Scopus More info: https://icoa2022.dibris.unige.it Submissions: https://easychair.org/conferences/?conf=icoa2022 From jeanette at kth.se Wed Apr 20 14:18:44 2022 From: jeanette at kth.se (=?Windows-1252?Q?Jeanette_H=E4llgren_Kotaleski?=) Date: Wed, 20 Apr 2022 18:18:44 +0000 Subject: Connectionists: Postdoc in computational neuroscience and data analysis in Stockholm In-Reply-To: <1e99455c9adb4e58afa2c3bf85b4dbc7@kth.se> References: <1e99455c9adb4e58afa2c3bf85b4dbc7@kth.se> Message-ID: <8c0dae931a3e43c89940627f45e779d4@kth.se> Dear Colleagues, We are looking for a Postdoc in Computational Neuroscience and Data-Analysis with a focus on the Basal Ganglia in health and disease. The postdoc will be linked to the dBRAIN collaborative project, an interdisciplinary initiative to better understand neurodegenerative diseases such as Parkinson?s disease and Alzheimer?s disease. We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neural networks at multiple scales to identify causal links among disease biomarkers and disease symptoms. More information about dBRAIN is found at https://www.digitalfutures.kth.se/research/current-research-projects/dbrain/ [https://www.digitalfutures.kth.se/wp-content/uploads/sites/7/2021/04/jesse-orrico-rmwtvqn5rzu-unsplash-scaled.jpg] Digitizing Brain Data for Health and Disease (dBRAIN) ? Digital Futures www.digitalfutures.kth.se Patient data as a base for reliable diagnoses, prognoses and more effective treatment of brain diseases... The specific project will entail modelling of biological neural networks (both reduced rate-models and data-driven biophysical models) and analysis of neural as well as clinical data. The selected candidate will work in close collaboration with other PIs in the consortium as well as with several other postdocs. Apply at: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:497070/where:4/ [https://www.kth.se/polopoly_fs/1.793036!/image/KTH_Logotyp_RGB_2013-300pxl.png] Postdoc in Computational Neuroscience and Data-Analysis www.kth.se At KTH you will have the opportunity of bringing life to your ideas and, at the same time, contributing to tomorrow's society. Whatever position you have, you can take a lot of personal responsibility in a workplace that has a strong sense of fellowship. Regards, Jeanette Hellgren Kotaleski -------------- next part -------------- An HTML attachment was scrubbed... URL: From mrs at fel.cvut.cz Wed Apr 20 08:11:39 2022 From: mrs at fel.cvut.cz (Multi-Robot Systems Group in Prague) Date: Wed, 20 Apr 2022 14:11:39 +0200 Subject: Connectionists: 2022 IEEE RAS Summer School on Multi-Robot Systems in Prague, August 1-5, 2022: CAPACITY EXTENDED Message-ID: <57bb42df-098a-21ac-dd42-5f9243002218@fel.cvut.cz> Dear all, Given the unexpected interest of students applying for the 2022 IEEE RAS Summer School on Multi-Robot Systems and the linked support we received from the Czech Technical University in Prague, we have decided to extend the number of applicants that can participate in the Summer School being held on August 1-5, 2022 in Prague, Czech Republic. Visit http://mrs.felk.cvut.cz/summer-school-2022/?for details and the list of invited lecturers from top robotics laboratories worldwide. This will allow us to provide the knowledge and the interesting content of the Summer School to the broadest audience possible. At the same time, it could be a unique opportunity for networking of young scientists working in similar fields of research. Moreover, we have obtained more UAVs with various sensors from sponsors, so the students will be able to make even more demanding experiments. The Summer School is proper for last year bachelor?s students, master?s students, and PhD students, but we would also like to invite young scientists from both industry and academia. Mainly the planned HW experiments with a fleet of real UAVs realized by students during the Summer School practicals could be within their interest. You can find more details about the Summer School in the call for participation with deadline June 1, 2022?below this email. Best Regards, Martin ----------------------- Dr. Martin Saska Head of Multi-robot Systems Group Faculty of Electrical Engineering Czech Technical University in Prague Karlovo n?m?st? 13 CZ 121 35 Prague 2 Office: E120 Voice: +420-776241932 http://mrs.felk.cvut.cz/ http://mrs.felk.cvut.cz/people/martin-saska -------------------------------------------------------------------------------------------------- Following the great success of Summer Schools in Singapore, 2016 and in Prague, 2019 & 2020 the MRS RAS technical committee is organising 2022 IEEE RAS Summer School on Multi-Robot Systems http://mrs.felk.cvut.cz/summer-school-2022/?which will be held again at the campus of Czech Technical University located at the heart of the historic city of Prague. The Summer School aims to promote the newest achievements in multi-robot systems and swarm robotics to students, academic researchers, and industrial practitioners to enable putting systems of cooperating robots into practice. The content of the Summer School will be focused but not limited to systems of cooperating aerial vehicles. The topics addressed by well-recognised experts in the field of Multi-Robot Systems are composed to provide the participants necessary knowledge for understanding the available theory and for realisation real-world experiments with a fleet of autonomous micro aerial vehicles in the last day of the Summer School. This year the school will be focused on deployment of MRS in real-world conditions being motivated by EU AERIAL-CORE https://aerial-core.eu?project and DARPA SubT challenge www.subtchallenge.com The school is considered for presence participants primarily since a minimal amount of COVID cases and no travel restrictions were experienced in the Czech Republic in July-August in 2020 and 2021. Nevertheless, we will allow also virtual participation for students from countries with travel restrictions or limitations. The call for applications is now open: http://mrs.felk.cvut.cz/summer-school-2022/apply.html ---------------------------------------------------------------------------- 2022 IEEE RAS Summer School on Multi-Robot Systems ---------------------------------------------------------------------------- WHERE: ????????????????????????????Prague, Czech Republic WHEN: ??????????????????????????????August 1-5, 2022 DEADLINE: ???????????????????????June 1, 2022 HOW TO APPLY: ??????????????Submit CV, personal information, and a brief statement of interest through: https://forms.gle/ehFe6Beesv1LfHKC6 Include title and abstract of your short talk if you are interested in providing a talk on your research (optional) WHO SHOULD ATTEND: ?Graduate students (master or PhD) and students (Bc.) at an advanced stage of their university courses. R&D professionals. FEE: ????????????????????????????????Students: 440 ? + 92.4 ? VAT ????????????????????????????????????????Academic participants: 510 ? + 107.1 ? VAT ????????????????????????????????????????Industry participants: 590 ? + 123.9 ? VAT * The fee includes all lectures, practicals with real robots, lunches, refreshments, welcome drinks, banquet, farewell drinks, and social programs - guided tour in Prague's Old Town LECTURERS: Konstantinos Alexis.?Professor at Norwegian university of science and technology. Winner of DARPA SubT challenge - motivating Summer School experiments http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Rachid Alami.?Senior Scientist (Directeur de Recherche) at?Laboratory for Analysis and Architecture of Systems (LAAS) An?bal Ollero.?Professor at the University of Seville. Principal investigator of Aerial Core - motivating?Summer School experiments http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Tom?? Svoboda. Professor at theCzech Technical University in Prague. 2nd place at virtual DARPA SubT challenge - motivating?Summer School experiments http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Alyssa Pierson. Professor at Boston University Guido de Croon. Professor at?Delft University of Technology Vito Trianni.?Senior researcher at?Istituto di Scienze e Tecnologie della Cognizione Lino Forte Marques. Professor at University of Coimbra PRACTICALS: Tom?? B??a, Czech Technical University: Outdoor experiments with swarms of micro aerial vehicles http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Robert P?ni?ka, Czech Technical University: ROS and Gazebo for verification of multirobot systems ORGANIZERS: Martin Saska, Czech Technical University, Summer School Chair Robert Fitch, The University of Sydney, Technical Committee and Advisory Board Nora Ayanian, University of Southern California, Technical Committee and Advisory Board Antonio Franchi, University of Twente, Technical Committee and Advisory Board Lorenzo Sabatini, University of Modena, Technical Committee and Advisory Board Jen Jen Chung, ETH Z?rich, Technical Committee and Advisory Board Changjoo Nam, ?Inha University, Technical Committee and Advisory Board Javier Alonso-Mora, Delft University of Technology, Technical Committee and Advisory Board Alyssa Pierson, Boston University, Technical Committee and Advisory Board WEB PAGE: http://mrs.felk.cvut.cz/summer-school-2022/ CONTACT: mrs at fel.cvut.cz Best regards on behalf of organizers and IEEE RAS MRS TC, Martin Saska -- Multi-Robot Systems Group (MRS), Martin Saska Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13, Praha 2 Czech Republic mrs at fel.cvut.cz mrs.felk.cvut.cz -------------- next part -------------- An HTML attachment was scrubbed... URL: From crystallantz at gmail.com Wed Apr 20 14:05:13 2022 From: crystallantz at gmail.com (Crystal Lantz) Date: Wed, 20 Apr 2022 14:05:13 -0400 Subject: Connectionists: Job Opportunities: BRAIN Initiative Connectivity and Senior Data Scientist Positions Message-ID: Colleagues, I am writing with news of a two additional job opportunities for the BRAIN Initiative. Program Director for the BRAIN CONNECTS Program: https://www.ninds.nih.gov/About-NINDS/Jobs-At-NINDS/Health-Scientist-Administrator-neural-circuit-mapping The position will be responsible for overseeing a portfolio of grants and cooperative agreements to support the new BRAIN Initiative Connectivity across Scales (BRAIN CONNECTS) Network, which focus on projects to map connectivity across whole mammalian nervous systems. Senior Data Scientist for BRAIN Bioinformatics and Data Integration: https://brainblog.nih.gov/brain-blog/office-brain-director-hiring-apply-lead-bioinformatics-and-data-integration-position This position will be responsible for developing and organizing data science and informatics needs across the large cross-disciplinary trans-NIH teams at the critical interface of basic research and translational science relevant to the BRAIN Initiative, its related programs, and expanded network of Federal and non-Federal partners. For more information see the contact information listed in the postings. These and other job opportunities, and instructions to for subscribing to a listserv can be found at: https://www.ninds.nih.gov/About-NINDS/Job-Opportunities/Careers-at-NINDS -------------- next part -------------- An HTML attachment was scrubbed... URL: From pokornam at cs.cas.cz Wed Apr 20 06:12:04 2022 From: pokornam at cs.cas.cz (Magda Pokorna) Date: Wed, 20 Apr 2022 12:12:04 +0200 Subject: Connectionists: Postdoc / Research Fellow for complex network analysis: Critical events detection; Prague, Czech Republic In-Reply-To: References: Message-ID: <4223a9d1-868f-d093-bcea-f62c4138013a@cs.cas.cz> Postdoctoral or Research Fellow position is available to join the *Complex Networks and Brain Dynamics group * for the project: /*?*//*Modelling and analysis of complex systems for safety of critical infrastructures?*/ as part of the National Center of Competence ? Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects. The project involves developing, implementing, optimizing and applying techniques for detection and prediction of critical events and regime transitions and their propagation in complex networks, with applications in societally important real-world systems such as social and communication networks, computer networks and large-scale industrial systems. **Applications will be reviewed on a rolling basis with a first cut-off point on May 30, 2022.** More information and application at https://www.cs.cas.cz/job-offer/NCK-postdoc-positions-Hlinka1/cs** ** Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka at cs.cas.cz, Web: http://cs.cas.cz/hlinka. *Institute of Computer Science** **Czech Academy of Sciences* Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic https://www.cs.cas.cz/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahtan at smu.edu.sg Thu Apr 21 06:12:56 2022 From: ahtan at smu.edu.sg (TAN Ah Hwee) Date: Thu, 21 Apr 2022 10:12:56 +0000 Subject: Connectionists: Multiple Research Positions And PhD Scholarships Available at School of Computing and Information Systems, Singapore Management University In-Reply-To: <4bfd76c1c2524dc99cd412fdad7067f9@smu.edu.sg> References: <4bfd76c1c2524dc99cd412fdad7067f9@smu.edu.sg> Message-ID: Dear Connectionists Postdoctoral Research Position Available The School of Computing and Information Systems at the Singapore Management University is looking to fill a fully funded postdoctoral position to work on computational principles and modelling of spatiotemporal memory and their application to Activities of Daily Living (ADL) modelling and wellness analysis. This work is part of a collaborative project with A*Star Institute for High Performance Computing (IHPC) aimed at developing intelligent technologies and solutions for supporting active aging in place through in-home sensing and monitoring. Successful candidate will join an active research team led by Prof Ah-Hwee TAN and Dr. Kenneth KWOK. About the position: The main responsibilities of the position include: a) Research and development of spatiotemporal memory models for encoding and analysis of activities of daily living (ADL) in a home-based environment; b) Leading the design, development and evaluation of simulation prototypes; and c) Documentation, preparation of technical publications and reports The appointment will be for one year initially and renewable for another year. We are looking to fill the position as early as possible. The salary and benefits provided will be competitive and commensurate with the candidate?s profile and experience. Academic / Professional Qualifications ? PhD degree in Computer Science, Cognitive Science, or closely related disciplines from a reputable institution of higher learning ? Minimum 3-4 years of relevant research experience in artificial intelligence, cognitive science, or related fields. Knowledge / Skills / Competencies ? Good analytical, technical and problem solving skills ? Knowledge/Proficiency in programming languages, in particular Python, Java and C/C++ ? Competency in application prototype design and development ? Good writing, communication and interpersonal skills ? Applicants with research publications in artificial intelligence and cognitive science areas will be advantageous Interested candidate please send a cover letter and current CV with email addresses of three referees to ahtan at smu.edu.sg. Your email should have the subject heading of "Application for Postdoctoral Position". Reviews of applications will begin immediately and continue until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4925 bytes Desc: not available URL: From malini.vinita.samarasinghe at ini.rub.de Thu Apr 21 05:58:25 2022 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Thu, 21 Apr 2022 11:58:25 +0200 Subject: Connectionists: 2 Postdoctoral positions in Computational Neuroscience - Cheng lab, Ruhr University Bochum Message-ID: <5dd2de97-3150-ad25-6ebb-51930222a60a@ini.rub.de> Prof. Sen Cheng, Faculty of Computer Science, Ruhr University Bochum, invites applications for two full-time positions (39.83 hours/week) of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience. * The positionsstart on 1st July 2022and arefunded for 3 years.** _*Positions*_ 1. The successful applicant will work on a collaborative project (within the Collaborative Research Center ?Extinction Learning? SFB 1280 ), together with experimentalists to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280. * compare the learning dynamics between individuals, species, learning phases and learning paradigms. * develop algorithms to analyze the learning dynamics. * develop and study computational models of learning dynamics. * coordinate research with other participating projects. The research centeris highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. 2. The successful candidate will model the function of episodic memory in spatial learning and other tasks using reinforcement learning within the Research Unit ?Constructing Scenarios of the Past: A New Framework in Episodic Memory? FOR 2812 . This project strives to find answers to the questions: * Why and how can specific experiences stored in episodic memory be helpful for learning? * How is behavior driven by episodic memory different from that driven by general knowledge, or semantic information? * How do different learning systems interact with one another? The research unit studies the cognitive and neuronal mechanisms underlying scenario construction, which is believed to lie at the heart of episodic memory retrieval. It employs and combines approaches from Philosophy, Psychology as well as Experimental and Computational Neuroscience. _*Qualifications*_ * Adoctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field. In exceptional cases, graduate students with a Masters degree in these fields, but nodoctorate degree, may be considered. * Relevant experience in mathematical modeling * Relevant research experience in neuroscience or a related field (only position 1) * Excellent programming skills (e.g., Python, C/C++, Matlab), * Excellent communication skills in English * The ability to work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation in the Faculty of Computer Science combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts (bachelor & master) and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de . In addition, at least two academic references mustbe sent independently to the above email address. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe at ini.rub.de -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From dftschool at ini.rub.de Thu Apr 21 11:29:24 2022 From: dftschool at ini.rub.de (DFT Summer School) Date: Thu, 21 Apr 2022 17:29:24 +0200 Subject: Connectionists: Neuronal Dynamics for Embodied Cognition - Virtual Summer School 2022 Message-ID: Please forward this advertisement to whoever you think might be interested. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. Participation in any part of the school is free of charge. The deadline for workshop applications is Jul 31, 2022! Thanks, Raul Grieben and Jan Tek?lve - - - Virtual DFT School 2022 This year our summer school "Neural Dynamics for Embodied Cognition" will take place in virtual form from the 15th to the 20th of August, 2022. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. The lecture series will be held as a video conference and provides a step-by-step introduction to Dynamic Field Theory. The two-and-a-half-day project workshop gives students the opportunity to put to use the newly acquired skills in a concrete hands-on modeling project. Students solve the task in our open-source simulation environment under the guidance of a personal tutor. This year's lectures will be open for everyone,? while the one-on-one tutoring limits the number of participants who can take part in the workshop. We also encourage workshop applications by small groups of participants, maybe two or three colleagues who will work together locally on the same project and may share a tutor. Although this format will not retain the appeal of meeting other students in person, we will make this year's experience as interactive as possible. The lecture series will be held from the 15th to the 20th of August and the workshop takes place from the 18th to the 20th of August. Lectures will take place from 3 to 6 p.m. (CET) on each day and personal tutoring will be available on each workshop day. Participation in any part of the school is free of charge. To apply for the lecture series and/or the workshop, please visit our webpage: https://dynamicfieldtheory.org/events/summer_school_2022/ From nsmattei at gmail.com Thu Apr 21 13:10:53 2022 From: nsmattei at gmail.com (Nicholas Mattei) Date: Thu, 21 Apr 2022 12:10:53 -0500 Subject: Connectionists: Call for Nominations: The 2022 ACM SIGAI Industry Award for Excellence in Artificial Intelligence Message-ID: [Sorry for cross posting, please forward to any that may be interested] Call for Nominations: The 2022 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. If you are not a member of ACM SIGAI, please join here: https://sigai.acm.org/main/ Please submit the nomination and endorsements through our Google form: https://forms.gle/FnHMHuzkQ4EbzYp47 For any questions please contact Craig Boutilier (Award Chair, cboutilier at google.com) or Nicholas Mattei (SIGAI Vice Chair, nsmattei at gmail.com). Timeline: Nominations Due: May 31, 2021 Award Announcement: June 30, 2021 Award Presentation: July 23 ? 29 at IJCAI 2022, https://ijcai-22.org/ -- *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 publicity at acsos.org Thu Apr 21 12:04:20 2022 From: publicity at acsos.org (ACSOS Conference) Date: Thu, 21 Apr 2022 12:04:20 -0400 Subject: Connectionists: Autonomic Computing & Self-Organizing Systems: Special Free Hybrid Event Message-ID: <912fb7b9-003a-13d3-e0e0-729406dc76ae@acsos.org> We are pleased to announce that a Special Event hosted by the Autonomic Computing and Self-Organizing Systems (ACSOS) community will be held in Cesena, Italy, on May 5th, 2022. The event will run in hybrid mode, so remote attendance is also possible. Registration is entirely free both for in-presence and remote attendees. Register athttps://bit.ly/acsos-se *PROGRAM* All times are CEST (UTC+2) 11:00-12:00 - Ivana Dusparic: "Reinforcement Learning for self-adaptive city-scale infrastructures". ACSOS Public Lecture. 12:00-13:00 - Lunch break 13:00-15:00 - Alessandro Vittorio Papadopoulos: "Designing self-adaptive software systems with control theory: an overview". ACSOS Tutorial. 15:00-15:30 - Cofee break. 15:30-17:30 - Lukas Esterle: "Digital Twins - from Development to deployment in intelligent systems". ACSOS Tutorial. 17:30-18:00 - Hybrid social program from 18:00 - In-Person Social Program Find more information at: https://2022.acsos.org/track/acsos-2022-special-events and on the registration page. For further information, contact Danilo Pianini atdanilo.pianini at unibo.it From antonio.carta at unipi.it Fri Apr 22 08:11:40 2022 From: antonio.carta at unipi.it (Antonio Carta) Date: Fri, 22 Apr 2022 14:11:40 +0200 Subject: Connectionists: [CfP] Pervasive Artificial Intelligence Workshop Message-ID: Call for Papers?? ?? Pervasive Artificial Intelligence Workshop?? IEEE WCCI 2022 - July 18-23 2022 Padua - Italy?? http://pai.di.unipi.it/paiw2022/?? ?? The WCCI 2022 Workshop on Pervasive AI aims to establish a new multidisciplinary community tackling challenges across edge AI, continual learning, embedded, distributed and federated learning, neuromorphic computing, AI-HPC, sustainable AI.?? ?? AI is becoming a pervasive technology in ICT systems development, as well as for its presence in products and services of daily use. In particular, a pervasive use of neural-based methodologies and technologies comes at the cost of increased functional and non-functional requirements related to fundamental properties, such as energy efficiency, ability to continuously adapt to changing conditions and tasks, dependability, security and human-machine interactivity.?? ?? The workshop encourages submissions from academia, industrial projects, and international research projects.?? ?? Relevant topics include but are not limited to:?? - Adaptive placement of applications on the Cloud-Iot continuum?? - Algorithms, software and hardware platforms for high-performance and scalable processing of AI and ML models?? - Continuous reasoning on Cloud-IoT applications?? - Cybersecurity in ML?? - Design and development of algorithms, models and software for AI and ML?? - Distributed and embedded AI and learning?? - Distributed, embedded and in-silico neural computation?? - Deep graph networks in pervasive AI applications?? - Federated learning?? - Intelligent IoT and cyber-physical systems?? - Learning on streaming data and continual learning?? - Multi-agents systems in pervasive computing?? - Methods, algorithms and systems for human-aware, secure and safe AI in pervasive computing scenarios?? - ML-on-Cloud, ML-for-the-Cloud, ML as a service?? - ML-Ops?? - Neuromorphic computing?? - Learning at-the-edge?? - Safe AI?? - Sustainable AI?? - Trustworthy AI?? ?? Submission Guidelines?? The workshop offers the possibility to opt for either non-archival contributions or published proceedings papers. Only regular papers, as defined below, can be included in the proceedings. The latter will be published under the CEUR-WS AIxIA series, which is open access and fully indexed by Scopus, DBLP and Scholar. ?? The workshop accepts the following types of contributions:?? - Regular papers (min 10 pages, max 12 pages refs included): papers presenting mature research contributions?? - Short papers (min 5 pages, max 8 pages): papers presenting preliminary ideas, work in progress, position statements?? ?? All contributions, irrespective of the type, will undergo a single blind peer review process with 2-3 anonymous referees.?? Articles should be formatted according to the CEUR-WS style: http://ceur-ws.org/Vol-XXX/CEURART.zip?? ?? Submissions are handled via Easychair: https://easychair.org/conferences/?conf=paiw22?? ?? Important Dates?? Submission Deadline: April 30th 2022, AoE?? Notification to authors: May 31st 2022?? Camera-ready upload: June 15th 2022, AoE?? Workshop dates: 18-19 July 2022 (exact day to be confirmed)?? ?? Organizing Committee?? Davide Bacciu, Universit? di Pisa?? Antonio Carta, Universit? di Pisa?? Patrizio Dazzi, Consiglio Nazionale delle Ricerche?? Magdalini Eirinaki, San Jose State University?? Iraklis Varlamis, Harokopio University of Athens -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Fri Apr 22 03:45:50 2022 From: irina.illina at loria.fr (Irina Illina) Date: Fri, 22 Apr 2022 09:45:50 +0200 (CEST) Subject: Connectionists: 2nd Symposium on Security and Privacy in Speech Communication joint with 2nd VoicePrivacy Challenge Workshop 2022 Message-ID: <1659948000.3934830.1650613550687.JavaMail.zimbra@loria.fr> 2 nd Symposium on Security and Privacy in Speech Communication joint with 2 nd VoicePrivacy Challenge Workshop INTERSPEECH SATELLITE WORKSHOP, September 23-24, 2022 [ https://symposium2022.spsc-sig.org/ | https://symposium2022.spsc-sig.org/ ] Call for papers The second edition of the Symposium on Security & Privacy in Speech Communication , this year combined with the 2nd VoicePrivacy Challenge Workshop, focuses on speech and voice through which we express ourselves. As speech communication can be used to command virtual assistants to transport emotion or to identify oneself, the symposium tries to give answers to the question on how we can strengthen security and privacy for speech representation types in user-centric human/machine interaction? The symposium therefore sees that interdisciplinary exchange is in high demand and aims to bring together researchers and practitioners across multiple disciplines ? more specifically: signal processing, cryptography, security, human-computer interaction, law and anthropology, The SPSC Symposium addresses interdisciplinary topics. For more details, see [ https://spsc-symposium2021.de/home/_cfp/SPSC_Symposium_CFP.pdf | ] [ https://symposium2022.spsc-sig.org/home/_cfp/CFP_SPSC-Symposium-2022.pdf | CFP ] Important dates * May 18 ? Long paper submission deadline (up to 8 pages excl. references) * June 15 ? VoicePrivacy Challenge paper submission deadline (4 to 6 pages excl. references) * June 15 ? Short papers submission deadline (up to 4 pages incl. references) * July 1 ? Author notification * July 31 ? VoicePrivacy Challenge results and system description submission deadline * September 5 ? Final paper submission * September 23-24 ? SPSC Symposium at the Incheon National University, Korea Topics of interest * Speech Communication on the sense of security and privacy * Cybersecurity for speech processing * Machine Learning to increase security and privacy * Natural Language Processing and privacy * Human-Computer Interfaces (Speech as Medium) * Ethics & Law * Digital Humanities -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From haim.dub at gmail.com Thu Apr 21 17:15:08 2022 From: haim.dub at gmail.com (Haim Dubossarsky) Date: Thu, 21 Apr 2022 22:15:08 +0100 Subject: Connectionists: Fully funded 2-year postdoc Message-ID: ***** Closing date for applications: May 4th! ***** We are looking for a 2-year postdoc in identification and analysis of lexical semantic change using computational models applied to diachronic corpora. Our languages change over time. As a consequence, words may look the same, but have different meanings at different points in time, a phenomenon called lexical semantic change (LSC). To facilitate interpretation, search, and analysis of old texts, we build computational methods for automatic detection and characterization of LSC from large amounts of text. Our outputs will be used by the lexicographic R&D unit that compiles the Swedish Academy dictionaries, as well as by researchers from the humanities and social sciences that include textual analysis as a central methodological component. We are looking for a researcher with an excellent scientific track record and a phd in a relevant area (for example, language technology/natural language processing, computer science, complex systems, mathematics, linguistics with experience in computational methods, or informational sciences). The Change is Key! program and the Towards Computational Lexical Semantic Change Detection research project offer a vibrant, international research environment for this exciting and rapidly growing cutting-edge research field in NLP. There is a unique opportunity to contribute to the field of LSC, but also to humanities and social sciences through our active collaboration with international researchers in historical linguistics, analytical sociology, gender studies, conceptual history, and literary studies. Come join us! Type of employment: Fixed-term employment, 2 years Extent: 100% Location: Department of Swedish, Multilinguality, language technology, University of Gothenburg First day of employment: 2022-08-01 or by agreement https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=24223 -- Nina N. Tahmasebi, Associate Professor Spr?kbanken ? Change is Key! +46 (0) 31 786 6953nina.tahmasebi at gu.se http://spraakbanken.gu.se/eng/personal/ninahttps://changeiskey.org/https://languagechange.org/http://tahmasebi.se/https://gu-se.zoom.us/my/ninatahmasebi ?If at first, the idea is not absurd, then there is no hope for it? -Albert Einstein. -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Fri Apr 22 08:28:11 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Fri, 22 Apr 2022 08:28:11 -0400 Subject: Connectionists: Joint CfP: *Less than a week left* to submit your abstracts for the Hybrid 21st ISWC 2022 Research, In-Use and Resource tracks Message-ID: *Joint CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ In this announcement: 1. Call for Research papers 2. Call for In-Use papers 3. Call for Resource papers *== Important Dates ==* *Abstracts:* 28th April, 2022 *Full papers:* 5th May, 2022 1. Call for Research papers ******************************************* The* research track* of ISWC 2022 solicits novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. We welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, SHACL, etc.) that may also lie 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. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/research-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Aidan Hogan, Department of Computer Science, Universidad de Chile ahogan at dcc.uchile.cl - Uli Sattler, Department of Computer Science, University of Manchester Uli.Sattler at manchester.ac.uk 2. Call for In-Use papers ******************************************* The track aims to give a stage to solutions for real-world problems in which Semantic Web and Knowledge Graph technologies play a crucial role. Real-world applications of these technologies in combination with machine learning, deep learning and other AI techniques are of particular interest. 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 and Knowledge Graph technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web and Knowledge Graph research communities. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/in-use-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Jo?o Paulo A. Almeida, Federal University of Esp?rito Santo, Brazil - Hideaki Takeda, National Institute of Informatics, Japan Contact: In-UseTrack-iswc2022 at easychair.org 3. Call for Resource papers ******************************************* The ISWC 2022 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://iswc2022.semanticweb.org/index.php/resources-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Valentina Presutti, LILEC Department, University of Bologna, Italy valentina.presutti at unibo.it - Maria Keet, Department of Computer Science, University of Cape Town, South Africa mkeet at cs.uct.ac.za Follow us 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 - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From crpalmec7 at alumnes.ub.edu Fri Apr 22 06:02:14 2022 From: crpalmec7 at alumnes.ub.edu (=?iso-8859-3?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Fri, 22 Apr 2022 10:02:14 +0000 Subject: Connectionists: [Last Call for Papers] Workshop on Human Behavior Understanding (HBU) @ ICPR 2022 Message-ID: [Apologies for cross-posting] *********************************************************************************************** LAST CALL FOR PAPERS - HBU 2022 12th International Workshop on Human Behavior Understanding (HBU) Focus theme: Applications for Clinical and Behavioral Sciences Held in conjunction with ICPR 2022 Workshop website: https://www.cmpe.boun.edu.tr/hbu/2022/ Paper submission deadline: May 3rd, 2022 Notifications: June 1st, 2022 Early-bird registration deadline: June 6th, 2022 Camera-ready submission deadline: June 24th, 2022 Workshop: August 21st/25th, 2022 (to be confirmed) *********************************************************************************************** ORGANIZERS Albert Ali Salah, Universiteit Utrecht, Netherlands, and Bo?azi?i University, Turkey Sergio Escalera, Universitat de Barcelona and Computer Vision Center, Spain Cristina Palmero, Universitat de Barcelona and Computer Vision Center, Spain Henning M?ller, HES-SO, Switzerland Hugo Jair Escalante, Instituto Nacional de Astrof?sica, ?ptica y Electr?nica, M?xico ABOUT Domains for human behavior understanding (e.g. multimedia, human-computer interaction, robotics, affective computing and social signal processing) predominantly rely on advanced pattern recognition techniques to automatically interpret complex behavioral patterns generated when humans interact with machines or with other agents. This is a challenging research area where many issues are still open, including the joint modeling of behavioral cues taking place at different time scales, the inherent uncertainty of machine detectable evidences of human behavior, the mutual influence of people involved in interactions, the presence of long term dependencies in observations extracted from human behavior, and the important role of dynamics in human behavior understanding. For clinical and behavioral sciences, not only accurate behavior analysis is essential, but further aspects like explainability, privacy-aware processing, and fairness are often required. The development of explainable and interpretable models for social behavior analysis would result in more trustable solutions that could be adopted by domain experts for informed decision making. Furthermore, public datasets are often difficult to obtain and share in a privacy-aware manner (particularly during Covid-19), which hampers scientific progress. This workshop, organised as part of ICPR 2022, will gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to clinical settings and tools usable for behavioral scientists. Examples of challenges are automatic labeling, annotation, and reporting systems, datasets acquired from real or simulated clinical conditions, systems that focus on the analysis of interaction dynamics, early diagnosis and intervention systems, augmented telepresence, personalized agents, and multimodal approaches. The HBU workshops, previously organized as satellite events to major conferences in different disciplines (ICPR'10, AMI'11, IROS'12, ACMMM'13, ECCV'14, UBICOMP'15, ACMMM'16, FG'18, ECCV'18, ICCV'19, WACV'21) have a unique aspect of fostering cross-pollination of disciplines, bringing together researchers from a variety of fields, such as computer vision, pattern recognition, HCI, artificial intelligence, interaction design, ambient intelligence, social signal processing, psychology, and robotics. The diversity of human behavior, the richness of multimodal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. TOPICS OF INTEREST The topics for submission include all papers relevant to the automatic analysis and modeling of human behavior. These include, but are not limited to: * Applications of human behavior analysis for clinical and behavioral sciences * Explainable and interpretable models for the analysis of human behavior * Detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics * Verbal / nonverbal communication analysis * Contextual analysis in interpersonal interactions * Datasets, annotation protocols and bias discovering/mitigation methods * Multimodal human behavior analysis * Fairness in human behavior analysis * Privacy-aware processing of human behavior * Clinical datasets and validity * Social behaviour analysis * Affective computing * Human-computer interaction * Behavioral biometrics INVITED SPEAKERS Juan Wachs, Purdue University, USA Ehsan Hoque, University of Rochester, USA Rich Caruana, Microsoft Research, USA PAPER SUBMISSION Submission instructions can be found at https://www.cmpe.boun.edu.tr/hbu/2022/submission.html Please feel free to reach out for further details. Albert Ali Salah, Sergio Escalera, Cristina Palmero, Henning M?ller, Hugo Jair Escalante HBU 2022 Organizers Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s'adre?a exclusivament a la persona o entitat destinat?ria. Si no consteu com a destinatari final o no teniu l'enc?rrec de rebre'l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si l'heu rebut per error, informeu-ne el remitent i elimineu del sistema tant el missatge com els fitxers adjunts que hi pugui haver. Este mensaje, y los ficheros adjuntos que pueda incluir, puede contener informaci?n confidencial o legalmente protegida y est? exclusivamente dirigido a la persona o entidad destinataria. Si usted no consta como destinatario final ni es la persona encargada de recibirlo, no est? autorizado a leerlo, retenerlo, modificarlo, distribuirlo o copiarlo, ni a revelar su contenido. Si lo ha recibido por error, informe de ello al remitente y elimine del sistema tanto el mensaje como los ficheros adjuntos que pueda contener. This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 23 11:24:06 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 23 Apr 2022 17:24:06 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Summer: early registration May 8 Message-ID: <1727109961.1338210.1650727446955@webmail.strato.com> ****************************************************************** 6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2022 Summer Las Palmas de Gran Canaria, Spain July 25-29, 2022 https://irdta.eu/deeplearn/2022su/ ***************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: May 8, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimar?es. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/index.php?option=com_k2&view=item&layout=item&id=360&Itemid=896 STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning -- A Paradigm Shift in Human Thought!? Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning PROFESSORS AND COURSES: T?lay Adal? (University of Maryland Baltimore County), [intermediate] Data Fusion Using Matrix and Tensor Factorizations Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation Dumitru Erhan (Google), [intermediate/advanced] Visual Self-supervised Learning and World Models Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding Yan Liu (University of Southern California), [introductory/intermediate] Deep Learning for Time Series Analysis Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications Clara I. S?nchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare Bj?rn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks [virtual] Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Csaba Szepesv?ri (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality * Murat Tekalp (Ko? University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 17, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. ORGANIZING COMMITTEE: Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Apr 24 12:26:56 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 24 Apr 2022 18:26:56 +0200 Subject: Connectionists: =?utf-8?q?FINAL_CFP=3A_12th_Workshop_on_Scalable_?= =?utf-8?q?Computing_=28WSC=2722=29=3B_HYBRID_event_=28FedCSIS=2722=3B_IEE?= =?utf-8?q?E_=2354150=3B_CORE_rank_B=3B_SCOPUS=3B_70_punkt=C3=B3w_MEiN=29?= In-Reply-To: <7a1bec7b-7ecc-ca57-5d5d-70641cea0080@ibspan.waw.pl> References: <7a1bec7b-7ecc-ca57-5d5d-70641cea0080@ibspan.waw.pl> Message-ID: <93cf4aeb-0097-f9f1-93cd-fe1a6a9b588a@amu.edu.pl> FINAL CALL FOR PAPERS ************************************************************* 12th Workshop on Scalable Computing (WSC'22) https://www.fedcsis.org/2022/wsc Organized within 2022 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'22; IEEE #54150; CORE rank B; 70 punkt?w MEiN; HYBRID event) ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE The world of large-scale computing continuously evolves. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed ?everywhere?, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues in involved in ?pushing computing away from the center? did not replace open questions that existed in the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud). Addressing research questions that arise in individual ?parts? as well as across the ecosystem viewed from a holistic perspective, with scalability as the main focus is the goal of the Workshop on Scalable Computing. In this context, the following topics are of special interest (however, this list is not exhaustive). Covered TOPICS include (but are not limited to): - General issues in scalable computing - Algorithms and programming models for large-scale applications, simulations and systems - Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations - Fault-tolerant and consensus techniques for large-scale computing - Resilient large-scale computing - Data models for large-scale applications, simulations and systems - Large-scale distributed databases - Load-balancing / intelligent resource management in large-scale applications, simulations and systems - Performance analysis, evaluation, optimization and prediction - Scientific workflow scheduling - Data visualization - On-demand computing - Virtualization supporting computations - Volunteer computing - Scaling applications from small-scale to exa-scale (and back) - Big data real-time computing / analytics - Economic, business and ROI models for large-scale applications - Emerging technologies for scalable computing - Cloud / Fog / Dew computing architectures, models, algorithms and applications - High performance computing in Cloud / Fog / Dew - Green computing in Cloud / Fog / Dew - Performance, capacity management and monitoring of Cloud / Fog / Dew configuration - Cloud / Fog / Dew application scalability and availability - Big Data cloud services - Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.) - Self* and autonomous computational / storage systems FedCSIS'22 KEYNOTE SPEAKERS: * Krassimir Atanassov Bulgarian Academy of Sciences, Sofia, Bulgaria https://scholar.google.com/citations?hl=pl&user=K-vuWKsAAAAJ * Thomas Blaschke University of Salzburg, Salzburg, Austria https://scholar.google.com/citations?user=kMroJzUAAAAJ * Chris Cornelis Ghent University, Ghent, Belgium https://scholar.google.com/citations?hl=pl&user=ln46HlkAAAAJ * Franco Zambonelli University of Modena e Reggio Emilia, Bologna, Italy https://scholar.google.com/citations?hl=pl&user=zxulxcoAAAAJ ZDZISLAW PAWLAK BEST PAPER AWARD: The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award PAPER PUBLICATION: ? Authors should submit draft papers (as Postscript, PDF or MSWord file). ? The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. ? Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. ? Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. ? Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. ? Conference proceedings will be indexed in BazEkon and?submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar ? Organizers reserve right to move accepted papers between FedCSIS technical sessions. ? Extended versions of selected papers presented during the conference will be published as Special Issue(s) of: --- Scalable Computing; Practice and Experience journal --- Journal of Network and Computer Applications (Elsevier, IF = 2.229) --- other journal(s) to be announced later. IMPORTANT DATES: + Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 Please forward this announcement to your colleagues and associates who could be interested in it. PROGRAM COMMITTEE: Barbosa, Jorge, University of Porto, Portugal Camacho, David, Universidad Autonoma de Madrid, Spain Carretero, Jesus D'Ambra, Pasqua, IAC-CNR, Italy Durillo, Juan, Leibniz Supercomputer of the Bavarian Academy of Sciences and Humanities, Germany Garcia Valdez, Mario Gordon, Minor, Software Development Consultant, United States Gravvanis, George, Democritus University of Thrace, Greece Grosu, Daniel, Wayne State University, United States Holmes, Violeta, The University of Huddersfield, United Kingdom Kalinov, Alexey, Cadence Design Systems, Russia Kecskemeti, Gabor, Liverpool John Moores University, United Kingdom Kitowski, Jacek, AGH University of Science and Technology, Department of Computer Science, Poland Knepper, Richard, Indiana University, United States Lang, Tran Van, Vietnam Academy of Science and Technology, Vietnam Lastovetsky, Alexey, University College Dublin, Ireland Margaritis, Konstantinos G., University of Macedonia, Greece Nosovic, Novica, Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina Paw?owski, Wies?aw, University of Gda?sk, Poland Prodan, Radu, University of Klagenfurt, Austria Schikuta, Erich, University of Vienna, Austria Schreiner, Wolfgang, Johannes Kepler University Linz, Austria Shen, Hong, University of Adelaide, Australia Telegin, Pavel, JSCC RAS, Russia Tudruj, Marek, Inst. of Comp. Science Polish Academy of Sciences/Polish-Japanese Institute of Information Technology, Poland Vazhenin, Alexander, University of Aizu, Japan Wei, Wei, School of Computer science and engineering, Xi'an University of Technology, China Wyrzykowski, Roman, Czestochowa University of Technology, Poland Zavoral, Filip, Charles University, Czech Republic TECHNICAL SESSION CHAIRS: Ganzha, Maria, Warsaw University of Technology, Poland Gusev, Marjan, University Sts Cyril and Methodius, Macedonia Paprzycki, Marcin, Systems Research Institute Polish Academy of Sciences, Poland Petcu, Dana, West University of Timisoara, Romania Ristov, Sashko, University of Innsbruck, Austria Contact: wsc2022 at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From dhansel0 at gmail.com Sun Apr 24 09:49:19 2022 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 24 Apr 2022 16:49:19 +0300 Subject: Connectionists: Fwd: NeuroBridges2022 In-Reply-To: References: Message-ID: *NeuroBridges2022* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: May 15, 2022* *NeuroBridges2022* is a summer school which will take place between September 4 and September 15, 2022 in Le Centre de Conferences Internationales de Cluny, France (CCIC) . The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. All costs of registration and accommodation will be covered by the organizers. For more information and application, visit our website:* http://decision-making-lab.com/NeuroBridges/neurobridges2022.html* *NeuroBridges2022 Faculty:* Carlos Brody (Princeton), Ahmed El Hady (Princeton), David Hansel (CNRS), Ifat Levy (Yale), Yonatan Loewenstein (Hebrew U.), Najib Majaj (NYU), Mike Shadlen (Columbia U.), Eyal Winter (Hebrew U.) and Yoram Yovell (Hadassah Hebrew U. Medical Center) *NeuroBridges* is co-organized by Ahmed El Hady (Princeton Neuroscience Institute, USA), Yonatan Loewenstein(Hebrew University of Jerusalem, Israel) and David Hansel (CNRS, Paris, France). *NeuroBridges2022* is supported by the Simons Foundation (USA) and CNRS (France) and is in partnership with VVTNS (wwtns.online). *Contact us:* *neurobridges2022 at gmail.com * --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 [image: Mailtrack] Sender notified by Mailtrack 24/04/22, 16:48:54 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Mon Apr 25 00:35:08 2022 From: vladan at temple.edu (Vladan Radosavljevic) Date: Mon, 25 Apr 2022 04:35:08 +0000 Subject: Connectionists: CfP - AdKDD @ KDD2022 Message-ID: Call for Workshop Papers AdKDD 2022 in conjunction with The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) Washington DC, August 14th-18th, 2022 http://www.adkdd.org ?Today, the average consumer spends ~8 hours a day across all devices interacting with online content almost entirely sponsored by advertisements. At over $360B global market size in 2022, online advertising has already surpassed traditional ads in global spend. Moreover, computational advertising in particular is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads help us enrich our lives and creep us out when done badly. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving, however, from ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences in news feeds on mobile devices and even on TV?all utilizing data amassed from petabytes of stored user data. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of fifteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you virtually or in-person to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. ? Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers, and others, challenge the traditional notions of advertising. There also continue to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. ? Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be eligible to be published in the ACM Digital Library and will be archived on the AdKDD website. Please note: All of the attendees need to register through the main conference of KDD. In addition, in line with earlier KDD workshops, we do not provide separate registration only for the workshop itself. Important Deadlines: Submission : May 26th, 2022 Decisions : June 19th, 2022 Camera-ready : June 26th, 2022 Video Submission: July 24, 2022 Workshop : August 15th, 2022 Best Paper Awards: We are happy to announce that we will award the best accepted papers for this year?s workshop. Details are to be disclosed shortly. Submission Website: https://easychair.org/conferences/?conf=adkdd2022 Program Committee Chairs: Abraham Bagherjeiran (eBay) Kuang-chih Lee (Alibaba) Kun Liu (Amazon) Kexin Xie (Salesforce) Linsey Pang (Walmart Labs) Mihajlo Grbovic (AirBnB) Nemanja Djuric (Aurora Innovation) Suju Rajan (Amazon) Vladan Radosavljevic (Spotify) Wei Liu (University of Technology Sydney) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Mon Apr 25 04:25:28 2022 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Mon, 25 Apr 2022 10:25:28 +0200 Subject: Connectionists: CFP: DISTEMIST (BioASQ/CLEF2022) shared task on detection & normalization of disease mentions In-Reply-To: References: Message-ID: (Apologies for cross-posting) Call for Participation DISTEMIST Shared Task (CLEF 2022) Detection and normalization of diseases mentions https://temu.bsc.es/distemist/ DISTEMIST is the first track focusing specifically on the automatic detection of disease mentions and their normalization (Snomed CT) in Spanish clinical case reports. The DISTEMIST data was tested to develop disease taggers previously applied on a diversity of medical records. Key information: - Web: https://temu.bsc.es/distemist/ - Data: https://doi.org/10.5281/zenodo.6408476 - Annotation guidelines: https://doi.org/10.5281/zenodo.6458078 - DISTEMIST gazetteer: https://doi.org/10.5281/zenodo.6458114 - Registration: https://temu.bsc.es/distemist/registration/ Motivation Systems able to detect and normalize disease mentions from medical content are crucial for a diversity of applications such as semantic indexing for improved retrieval/classification, clinical coding, drug-repurposing, relation extraction (disease-symptom, disease-drug/treatment, disease-gene/mutation), etc. It was estimated that around 20% of PubMed queries are related to diseases, disorders, and anomalies, stressing the importance for different users (researchers, clinicians, Pharma, biologists, healthcare practitioners,..) to extract this key information. Disease mention recognition tools are also relevant to process other kinds of content like social media (e.g. SMM4H/COLING2022 track - SocialDisNER). Disease mention detection systems have been implemented and used to process a diversity of content types, including scientific publications, clinical records, clinical trials, patient forums or social media, resulting in a component integrated into a diversity of practically relevant application types, such as: - health data analytics software and study of disease trajectories - disease outbreak monitoring/surveillance and epidemiology tools - extraction of disease phenotype or comorbidities - drug discovery, repurposing and off label indications - occupational health studies - pharmacogenomics - clinical coding of diagnosis The DISTEMIST organizers will release multilingual resources to foster the development of multilingual tools and generate systems not only for Spanish but also for content in English and Romance languages (French, Portuguese, Italian and Romanian): DISTEMIST-English, DISTEMIST-Italian, DISTEMIST-French, DISTEMIST-Portuguese, DISTEMIST-Catalan and DISTEMIST-Romanian. We foresee that participation in the DISTEMIST track will contribute to generate resources that will improve the exploitation of clinical unstructured data and thus unlock valuable health information, assist data curation and facilitate quality evaluation and interpretability of disease mention detection systems. Inspired by previous initiatives (n2c2, BioCreative) and shared tasks (CANTEMIST, PharmaCoNER, or CodiEsp), we are launching the DISTEMIST shared task as part of the BioASQ 2022 evaluation initiative (co-located with CLEF 2022), with the following two sub-tracks: - DISTEMIST-entities: automatic detection of mentions of diseases. - DISTEMIST-linking: finding mentions of diseases and normalizing them to their Snomed-CT concept identifiers. Schedule - DISTEMIST-linking 2nd Training Set Release: April 23th, 2022 - Test Set Release (DISTEMIST-entities and linking): May 10th, 2022 - Participant Test Prediction Due (DISTEMIST-entities and linking): May 15th, 2022 ("Anywhere on Earth") - Working papers submission: May 27th, 2022 - Notification of acceptance (peer-reviews): June 13th, 2022 - Camera-ready system descriptions: July 1st, 2022 - BioASQ @ CLEF 2022: September 2022 Publications and BioASQ/CLEF2022 workshop Teams participating in DISTEMIST will be invited to contribute a systems description paper for the CLEF 2022 Working Notes proceedings (published on CEUR-WS) and a short presentation of their approach at the CLEF 2022 workshop. Main Organizers - Martin Krallinger, Barcelona Supercomputing Center, Spain - Eul?lia Farr?-Maduell, Barcelona Supercomputing Center, Spain - Luis Gasc?, Barcelona Supercomputing Center, Spain - Anastasios Nentidis, National Center for Scientific Research Demokritos, Greece - Salvador Lima, Barcelona Supercomputing Center, Spain - Antonio Miranda-Escalada, Barcelona Supercomputing Center, Spain -- ======================================= Martin Krallinger, Dr. Head of Biological Text Mining Unit Barcelona Supercomputing Center (BSC-CNS) ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.Nowotny at sussex.ac.uk Mon Apr 25 12:09:32 2022 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Mon, 25 Apr 2022 16:09:32 +0000 Subject: Connectionists: Further deadline extension for CNS*2022 posters Message-ID: Dear Connectionists, 31st Annual Computational Neuroscience Meeting (CNS*2022) Melbourne 16-20 July 2022 https://www.cnsorg.org/cns-2022 The CNS*2022 abstract submission deadline for posters has been extended to Monday, 02 May at 14:00 European Summer Time. Please note this is an exceptional extension for posters only. One of the authors must register as sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2022-registration Abstract Submission: https://cns.confmaster.net/ The call for workshops remains open: CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2022-call-for-workshops Priority Deadline for proposals was 15 April 2022 Regards, Thomas Nowotny OCNS vice-president on behalf of the board of directors -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Tue Apr 26 16:29:56 2022 From: publicity at acsos.org (ACSOS Conference) Date: Tue, 26 Apr 2022 16:29:56 -0400 Subject: Connectionists: ACSOS 2022: Call for Artifacts Message-ID: <94b0a7bc-914c-4a77-7aea-bda6205ab1f3@acsos.org> *** ACSOS 2022 - Call For Artifacts *** 3rd IEEE International Conference on Autonomic Computing and Self-Organizing Systems 19-23 September 2022 ? Online https://2022.acsos.org/https://twitter.com/ACSOSconf **************************************** 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). For more up-to-date news, follow us at https://twitter.com/ACSOSconf! Traditionally, ACSOS only called for research papers. This year, for the first time, we also call for artifacts: software or data, which can be reused by the ACSOS community to evaluate novel approaches or to analyze interesting phenomena. Thus, in particular we solicit the submission of two types of artifacts: multi-agent simulators or comparable software and data sets. Our goal is to establish a collection of reusable evaluation setups and case studies. *** Important Dates *** July 7, 2022: Artifact abstract submission deadline July 28, 2022: Notification to authors August 5, 2022: Camera Ready Deadline September 19-23, 2022: ACSOS Conference! Submit here: https://easychair.org/conferences/?conf=acsos2022 *** Criteria *** Artifact submissions need to fulfill the following criteria: - The code or data needs to be publicly available for download under an open source license (e.g., on GitHub under GPL). - There has to be a readme file with detailed instructions on how to install, run and configure the artifact. - If an installation is required, scripts have to be provided, which automate the build and install process. - The code should run on all three major platforms (Mac, Win, Linux) either natively or using Docker or a VM.*** Short Paper Requirement *** Alongside the code or data, a short paper summarizing the artifact has to be submitted. This paper has to fulfill the following criteria: - Page limit: 2-4 pages. - The paper has to adhere to the template used for conference papers as it will be published in the proceedings of the conference. - Besides a summary of the artifact itself, the paper has to point out how it can be reused by the community in the future. *** Evaluation *** Submitted artifacts will be thoroughly evaluated by multiple reviewers according to the following artifact evaluation process (AEP): - Initial Review: Each artifact will be tested by at least three artifact PC members and is evaluated according to the following criteria: operationality (does it work), ease of setup, configurability, quality of documentation, potential for reusability, and quality of code. - Artifact revision: Authors will be notified whether their artifact is accepted as is or if minor revisions have to be done prior to publication. - Artifact publication: Accepted artifacts will be listed on a special ACSOS artifact website, which shall serve as primary source for case studies and evaluation setups in the future, and the accompanying short papers will be published within the proceedings of the conference. The key benefit of investing the considerable work required to get an artifact published at ACSOS is the constant reuse of it by the community, which leads to continuously growing citations of the accompanying paper. Please see https://2022.acsos.org/track/acsos-2022-artifacts for more information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Mon Apr 25 15:30:22 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Tue, 26 Apr 2022 01:00:22 +0530 Subject: Connectionists: ICONIP 2022: Call for papers Message-ID: *CALL FOR PAPERS* 29th International Conference on Neural Information Processing (ICONIP 2022) November 22-26, 2022 New Delhi, India https://www.iconip2022.apnns.org/ Dear Colleague, We would like to invite you to submit your paper to the 29th International Conference on Neural Information Processing (ICONIP 2022), New Delhi, India, November 22-26, 2022. Flyer of the call for paper is attached with this email. The conference website: https://iconip2022.apnns.org/index.php Submission Page: https://easychair.org/conferences/?conf=iconip2022 ICONIP is the annual flagship conference organized by the Asia Pacific Neural Network Society (APNNS). ICONIP 2022 aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievement, through its regular sessions, special sessions, tutorials, and workshops. Topics of interest include but are not limited to: *A. Theory and Algorithms* Causality and explainable AI Computational intelligence Control and decision theory Constraint and uncertainty theory Machine learning Neurodynamics Neural network models Optimization Pattern recognition Time series analysis *B. Computational and Cognitive Neurosciences* Affective and cognitive learning Biometric systems/interfaces Brain-machine interface Computational psychiatry Decision making and control Neuroeconomics Neural data analysis Reasoning and consciousness Sensory perception Social cognition *C. Human Centred Computing* Bioinformatics Biomedical information Healthcare Human activity recognition Human-centred design Human?computer interaction Neuromorphic hardware Recommender systems Social networks Sports and rehabilitation *D. Applications* Big data analysis Computational finance Image processing and computer vision Data mining Information security Information retrieval Multimedia information processing Natural language processing Robotics and control Web search and mining ICONIP 2022 will deliver keynote speeches, invited talks, full paper presentations, posters, tutorials, workshops, social events, etc. Like previous years, the Proceedings are proposed to be published in the Springer series of Lecture Notes in Computer Science (LNCS) and Communications in Computer and Information Science (CCIS). Selected papers will be published in a special issue of an SCI journal. *Important dates:* Submission of papers: 11:59pm (AoE),* June 15, 2022* Acceptance notification: 11:59pm (AoE), August 15, 2022 Camera ready: 11:59pm (AoE), August 31, 2022 Conference date: 11:59pm (AoE), November 22-26, 2022 Thank you so much for your kind support in this conference. If you have any queries, please contact us: iconip2022 at gmail.com ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CallForPapers-ICONIP 2022.pdf Type: application/pdf Size: 637887 bytes Desc: not available URL: From T.Nowotny at sussex.ac.uk Tue Apr 26 14:13:17 2022 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Tue, 26 Apr 2022 18:13:17 +0000 Subject: Connectionists: Postdoc position in neuromorphic computing Message-ID: Dear Connectionists, a postdoc position in Neuromorphic Computing and machine learning with Spiking Neural Networks is available in my group. Join our vibrant team at the beautiful University of Sussex campus in Brighton, UK. Closing date 17 May 2022 Desired start date 1 July 2022 Details and application: https://www.sussex.ac.uk/about/jobs/research-fellow-ref-8453 Please get in touch with me for any informal enquiries. Kind regards, Thomas Nowotny -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge -------------- next part -------------- An HTML attachment was scrubbed... URL: From shobeir at gmail.com Tue Apr 26 20:39:14 2022 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Tue, 26 Apr 2022 17:39:14 -0700 Subject: Connectionists: [CFP] KDD MLG'22 -- 17th International Workshop on Mining and Learning with Graphs Message-ID: 17th International Workshop on Mining and Learning with Graphs (MLG 2022) August 15, 2022 In conjunction with KDD http://www.mlgworkshop.org/2022 Submission Deadline: May 26, 2022 Call for papers: This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances in graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs. To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications, empirical studies and reflection papers. As an example, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. More recently, the advent of neural methods for learning graph representations has spurred numerous works in embedding network entities for diverse applications including ranking and retrieval, traffic routing and drug-discovery. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains. Topics of interest include, but are not limited to: - Theoretical aspects: - Computational or statistical learning theory related to graphs - Theoretical analysis of graph algorithms or models - Sampling and evaluation issues in graph algorithms - Analysis of dynamic graphs - Algorithms and methods: - Graph mining - Probabilistic and graphical models for structured data - Heterogeneous/multi-model graph analysis - Network embedding and graph neural network models - Statistical models of graph structure - Combinatorial graph methods - Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graphs - Applications and analysis: - Analysis of social media - Analysis of biological networks - Knowledge graph construction - Large-scale analysis and modeling We welcome many kinds of papers, such as, but not limited to: - Novel research papers - Demo papers - Work-in-progress papers - Visionary papers (white papers) - Appraisal papers of existing methods and tools (e.g., lessons learned) - Evaluatory papers which revisit validity of domain assumptions - Relevant work that has been previously published - Work that will be presented at the main conference Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long ? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for resubmission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and a subset will also be chosen for oral presentation. Timeline: Submission Deadline: May 26, 2022 Notification: June 20, 2022 Final Version: July 9, 2022 Workshop: August 15, 2022 Submission instructions can be found on http://www.mlgworkshop.org/2022/ Please send enquiries to chair at mlgworkshop.org Organizers: Shobeir Fakhraei (Amazon) Tim Weninger (University of Notre Dame) Neil Shah (Snap) Sami Abu-El-Haija (Google Research) Saurabh Verma (Meta) Tara Safavi (Microsoft Research) To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Tue Apr 26 13:29:24 2022 From: doya at oist.jp (Kenji Doya) Date: Tue, 26 Apr 2022 17:29:24 +0000 Subject: Connectionists: Neuro2022 Late-Breaking Abstracts and International Symposium on AI and Brain Science In-Reply-To: <916FC83D-F915-43D0-87CB-631685D397C2@oist.jp> References: <916FC83D-F915-43D0-87CB-631685D397C2@oist.jp> Message-ID: <2255460F-841E-4FA4-8B54-0743D57554E5@oist.jp> Neuro2022 is calling for late-breaking abstracts for poster presentations by April 29, 12:00JST (3:00GMT). https://neuro2022.jnss.org/en/lba.html Neuro2022 is a joint conference of Japanese Neuroscience, Neurochemistry and Neural Networks Societies, held from June 30 to July 3, 2022 in the beautiful island of Okinawa in an on-site/online hybrid format. https://neuro2022.jnss.org/en/ It is followed by the 2nd International Symposium on AI and Brain Science on July 4-5 at Okinawa Institute of Science and Technology http://www.brain-ai.jp/symposium2022/ Confirmed Speakers: Yoshua Bengio (University of Montreal) Matthew Botvinick (DeepMind) Karl Friston (University College London) Hiroaki Gomi (NTT Communication Science Laboratories) Ryota Kanai (ARAYA Inc.) Angela Langdon (Princeton University) Yutaka Matsuo (The University of Tokyo) Maneesh Sahani (Gatsby Computational Neuroscience Unit) Terrence Sejnowski (Salk Institute Univesity of California San Diego) Jun Tani (Okinawa Institute of Science and Technology) Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project) Naotsugu Tsuchiya (Monash University) Xiao-Jing Wang (New York University) The symposium is also in an on-site/online hybrid format. Free registration and abstract submission for on-site poster presentations will open in early May. Please refer to this page for the information about entry to Japan. https://neuro2022.jnss.org/en/visa.html All foreign nationals need a visa, but self-quarantine is not required from most countries with a proof of three vaccinations. ---- 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhccsymposium2022 at gmail.com Wed Apr 27 03:02:00 2022 From: bhccsymposium2022 at gmail.com (BHCC BHCC) Date: Wed, 27 Apr 2022 09:02:00 +0200 Subject: Connectionists: Fwd: [CFP] BHCC 2022 - Call For Papers In-Reply-To: References: Message-ID: **Apologies for cross-posting** *BHCC 2022 - Call For Papers* The Fourth Symposium On Biases In Human Computing And Crowdsourcing ( https://bhcc2022.org/*) will take place in Rome (Italy), *on *12 - 14 October 2022.* The goal of this symposium is to analyze both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures, and methods to track bias, as well as methodologies to prevent and solve bias. We will provide a framework for discussion among scholars, practitioners, and other interested parties, including industry, crowd workers, requesters, and crowdsourcing platform managers. We expect contributions combining ideas from different disciplines, including computer science, psychology, economics, and social sciences. *Topics Of Interest* Topics of interest include (but are not limited to): - Biases in Human Computation and Crowdsourcing - Human sampling bias - Effect of cultural, gender, and ethnic biases - Effect of human in the loop training and past experiences - Effect of human expertise vs interest - Bias in experts vs. bias in crowdsourcing - Bias in outsourcing vs bias in crowdsourcing - Bias in task selection - Task assignment/recommendation for reducing bias - Effect of human engagement on the bias - Responsibility and ethics in human computation and bias management - Preventing bias in crowdsourcing and human computation - Creating awareness of cognitive biases among human agents - Measuring and addressing ambiguities and biases in human annotation - Human factors in AI - Using Human Computation and Crowdsourcing for Bias Understanding and Management - Biases in Human-in-the-loop systems - Identifying new types of cognitive bias in data or content - Measuring bias in data or content - Removing bias in data or content - Dealing with algorithmic bias - Fake news detection - Diversification of sources by means - Provenance and traceability - Long-term crowd engagement *Submission Guidelines* We welcome the submission of research papers and abstracts which describe original work that has not been submitted or is currently under review, has not been previously published nor accepted for publication elsewhere, in any other journal or conference. Submissions of the research papers must be in English, in PDF format, and be in the current CEUR-WS single-column conference format. We will follow CEUR-WS guidelines, meet their preconditions, and expect to get the proceedings published. However, note that there is no guarantee that our volume will get published at CEUR-WS. We welcome the submission of the following types of contributions: - Full papers should be at most 10 pages in length (including figures, tables, appendices, and references); - Short papers should be at most 5 pages in length (including figures, tables, appendices, and references); - Abstracts should be at most 1 page in length (including figures, tables, appendices, and references), should contain just a title and the abstract, and should detail demos or relevant work or ideas which are under development. They can not contain references. We implement a double-blind review process. Submissions must be anonymous and the submission must be made via EasyChair: https://easychair.org/conferences/?conf=bhcc2022. *Important Dates* - Full, Short, and Abstract papers due: 1 September 2022 AoE (firm deadline) - Notifications: 10 September 2022 - Conference: 12, 13, and 14 October 2022 *Chairs* - General Chair: Lorenzo Bracciale (University of Rome "Tor Vergata") - General Chair: Kevin Roitero (University of Udine) - Proceedings and Website Chair: Michael Soprano (University of Udine) - Social Media Chair: David La Barbera (University of Udine) - Sponsorship Chair: Danula Hettiachchi (RMIT University) *Contact* bhccsymposium2022 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Wed Apr 27 08:57:56 2022 From: rava at ens.fr (Rava A. da Silveira) Date: Wed, 27 Apr 2022 08:57:56 -0400 Subject: Connectionists: SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, Basel, August 2021 Message-ID: *CN**EURO**2022* *Theoretical and Computational Neuroscience Summer School* *14 to 21 August 2022 ? In person in Basel, Switzerland* *This year: ?L**EARNING,** M**EMORY, AND **D**ECISION **M**AKING IN **B**RAINS AND **M**ACHINES**?* *www.cneuro.net* *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. *Topic and format* Past editions of CNeuro have focused on theoretical approaches to neural dynamics and coding. This year?s school will be organized around a different theme: it will explore various facets of learning, memory, and decision making, from circuit neuroscience to cognition to artificial intelligence. The course will bring together leading scientists in the field, who will deliver both introductory and advanced lectures, and take part in small-group discussions. Other activities will include homework sessions and student presentations, as well as the now popular ?Life and Science? panel series, in which faculty and students can both share their personal experiences and views on research and career. *Confirmed faculty* Alaa Ahmed (University of Colorado Boulder, USA) Kameron Harris (Western Washington University, USA) Yonatan Loewenstein (The Hebrew University of Jerusalem, Israel) Rub?n Moreno-Bote (Universitat Pompeu Fabra, Spain) Gerg? Orb?n (Wigner Research Centre for Physics, Hungary) Maneesh Sahani (University College London, England) Tianming Yang (Institute of Neuroscience, China) Hang Zhang (Peking University, China) *Special Lecture by* Silvia Arber (FMI and University of Basel, Switzerland) *Organizers* Rava Azeredo da Silveira (ENS and IOB) Stella Christie (Tsinghua University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) *Application and deadline* Information and application guidelines at www.cneuro.net. Applications will be reviewed starting on May 21, 2022. We will make every effort to recruit students from diverse backgrounds including all genders and ethnic groups. -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Wed Apr 27 09:20:01 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Wed, 27 Apr 2022 09:20:01 -0400 Subject: Connectionists: [CfP] Joint CfP: *<2 days left* to submit your abstracts for the Hybrid 21st ISWC 2022 Research, In-Use and Resource tracks Message-ID: *Joint CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ In this announcement: 1. Call for Research papers 2. Call for In-Use papers 3. Call for Resource papers *== Important Dates ==* *Abstracts:* 28th April, 2022 *Full papers:* 5th May, 2022 1. Call for Research papers ******************************************* The* research track* of ISWC 2022 solicits novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. We welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, SHACL, etc.) that may also lie 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. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/research-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Aidan Hogan, Department of Computer Science, Universidad de Chile ahogan at dcc.uchile.cl - Uli Sattler, Department of Computer Science, University of Manchester Uli.Sattler at manchester.ac.uk 2. Call for In-Use papers ******************************************* The track aims to give a stage to solutions for real-world problems in which Semantic Web and Knowledge Graph technologies play a crucial role. Real-world applications of these technologies in combination with machine learning, deep learning and other AI techniques are of particular interest. 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 and Knowledge Graph technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web and Knowledge Graph research communities. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/in-use-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Jo?o Paulo A. Almeida, Federal University of Esp?rito Santo, Brazil - Hideaki Takeda, National Institute of Informatics, Japan Contact: In-UseTrack-iswc2022 at easychair.org 3. Call for Resource papers ******************************************* The ISWC 2022 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://iswc2022.semanticweb.org/index.php/resources-track/ Abstract Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Valentina Presutti, LILEC Department, University of Bologna, Italy valentina.presutti at unibo.it - Maria Keet, Department of Computer Science, University of Cape Town, South Africa mkeet at cs.uct.ac.za Follow us 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 - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From f.errica93 at gmail.com Wed Apr 27 08:16:09 2022 From: f.errica93 at gmail.com (Federico Errica) Date: Wed, 27 Apr 2022 14:16:09 +0200 Subject: Connectionists: [CfP - Deadline Approaching] Deep Learning for Graphs -- ESANN 2022 Message-ID: Call for Papers: "Deep Learning for Graphs" Special Session of the European Symposium on Artificial Neural Networks ? ESANN 2022 5 - 7th October 2022, Bruges, Belgium (and online) Conference Page: https://www.esann.org/ Papers submission deadline: May 9, 2022 (AoE). Papers Submission System: https://www.esann.org/node/6 Description Traditional deep learning approaches have been developed assuming data to be encoded into feature vectors, however many important real-world applications generate data that are naturally represented by more complex structures, such as graphs. Graphs are particularly suited to represent relations between the components constituting an entity, allowing us to effectively describe systems of interacting elements, like social, biological, and technological networks, as well as data where topological variations influence the feature of interest, e.g., the interaction of proteins or molecular compounds. This has motivated a recent increasing interest of the machine learning community in the development of learning models for structured information. The field of graph deep learning, in particular, combines the ability of deep neural networks to learn representations end-to-end with this explicit description of relations in the data. Specifically, the class of models at the heart of graph deep learning, generically called Graph Neural Networks (GNNs), extend and generalize typical convolutional neural networks to process arbitrary graphs. Topics Topics of interest to this session include, but are not limited to: - Graph Neural Networks: theory and applications - Graph representational learning - Graph generation (probabilistic models, variational autoencoders, adversarial learning, etc.) - Graph learning and relational inference - Graph kernels and distances - Scalability, data efficiency, and training techniques of graph neural networks - Deep learning for dynamic graphs and graph sequences - Reservoir computing and randomized neural networks for graphs - Recurrent, recursive and contextual models - Graph datasets and benchmarks - Applications in natural language processing, computer vision (e.g. point clouds), materials science, cheminformatics, computational biology, social networks, etc. Important Dates: Papers submission deadline: May 9, 2022 (AoE). Decision Notification to Authors: by July 19, 2022 Organizers Luca Pasa, University of Padova (IT) Nicol? Navarin, University of Padova (IT) Daniele Zambon, Universit? della Svizzera Italiana (CH) Davide Bacciu, University of Pisa (IT) Federico Errica, NEC Laboratories Europe (DE) From jenny.benois-pineau at u-bordeaux.fr Wed Apr 27 10:09:02 2022 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Wed, 27 Apr 2022 16:09:02 +0200 Subject: Connectionists: XAIE- ICPR'2022 Dead-line extension Message-ID: <404312B1-4CA7-4B89-B8F3-0EB00864026C@u-bordeaux.fr> ----------------We apologize if you receive this message several times--------- Accordingly to numerous requests ? Extension of the dead-line Call for papers: *******2-nd WS on Explainable and Ethical AI ? ICPR? 2022, ENDORSED BY IAPR******** ***** to be held on August 21, 2022 in Montreal ******************************* https://xaie-icpr.labri.fr/ We are witnessing the emergence of an ?AI economy and society? where AI technologies are increasingly impacting many aspects of business as well as everyday life. We read with great interest about recent advances in AI medical diagnostic systems, self-driving cars, ability of AI technology to automate many aspects of business decisions like loan approvals, hiring, policing etc. However, AI systems may produce errors, can exhibit overt or subtle bias, may be sensitive to noise in the data, and often lack technical and judicial transparency and explainability. These shortcomings are raising many ethical and policy concerns not only in technical and academic communities, but also among policymakers and general public, and will inevitably impede wider adoption of AI in society. The problems related to Ethical AI are complex and broad and encompass not only technical issues but also legal, political and ethical ones. One of the key components of Ethical AI systems is explainability or transparency, but other issues like detecting bias, ability to control the outcomes, ability to objectively audit AI systems for ethics are also critical for successful applications and adoption of AI in society. Consequently, explainable and Ethical AI are very current and popular topics in various communities. Our proposed workshop aims to address technical aspects of explainable and ethical AI in general, and include related applications and case studies with the aim to address this very important problems from a broad technical perspective. The topics comprise but are not limited to: ? Naturally explainable AI methods ? Post-Hoc Explanation methods of Deep Neural Networks and Transformers ? Technical issues in AI ethics including automated audits, detection of bias, ability to control AI systems to prevent harm and others ? Methods to improve AI explainability in general, including algorithms and evaluation methods ? User interface and visualization for achieving more explainable and ethical AI ? Real world applications and case studies WorkShop Web Site: https://xaie-icpr.labri.fr Important Dates: Mai 10, 2022: Submission deadline May 31, 2022: Final decision June 6, 2022: Camera ready and early bid registration deadline August 21, 2022: Workshop Paper Submission: The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines . Two types of contribution will be considered: Full paper (12-15 pages) Short papers (6-8 pages) Paper Templates: are available on the website: https://xaie-icpr.labri.fr Program Committee: Alexandre Benoit, France, University Savoie Mont Blanc / LISTIC Jenny Benois-Pineau, France, Univ. Bordeaux / LaBRI Romain Bourqui, France, Univ. Bordeaux / LaBRI Andr? CPLF de Carvalho, Brazil, University of Sao Paulo / ICMC Christophe Garcia, France, LIRIS Mark Keane, Ireland, UCD Dublin / Insight SFI Centre for Data Analytics Harold Mouchere, France, Universit? de Nantes / LS2N Romain Giot, France, Univ. Bordeaux / LaBRI Th?o Jaunet, France, LIRIS Stefanos Kollias, Greece, National Technical University of Athens / Image, Video and Multimedia Systems Lab Noel O?Connor, Ireland, DCU Dragutin Petkovic, USA, SFSU Nicolas Thome, France, CNAM/Cedric Carlos Toxtli, USA, Northeastern University Jenny Benois-Pineau, Romain Giot, Romain Bourqui and Dragutin Petkovic Workshop Organizers Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux 351, crs de la Lib?ration 33405 Talence France tel.: +33 (0) 5 40 00 84 24 Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations School of Sciences and Technologies University of Bordeaux 351, crs de la Lib?ration 33405 Talence tel.: +33 (0) 5 40 00 84 24 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sepand.haghighi at yahoo.com Wed Apr 27 12:18:07 2022 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Wed, 27 Apr 2022 16:18:07 +0000 (UTC) Subject: Connectionists: PyCM 3.5 Released: Machine learning library for confusion matrix statistical analysis References: <610254793.1128063.1651076287149.ref@mail.yahoo.com> Message-ID: <610254793.1128063.1651076287149@mail.yahoo.com> https://github.com/sepandhaghighi/pycm https://www.pycm.ir http://list.pycm.ir - Anaconda workflow added - Custom iterating setting added?#409 - Custom casting setting added?#409 - plot?method updated?#408 - class_statistics?function modified - overall_statistics?function modified - BCD_calc?function modified - CONTRIBUTING.md?updated - CODE_OF_CONDUCT.md?updated?#399 - Document modified Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From franrruiz87 at gmail.com Wed Apr 27 11:14:55 2022 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Wed, 27 Apr 2022 18:14:55 +0300 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Anna Korba Message-ID: Dear all, We are pleased to announce that the next speaker of the *?I Can?t Believe It?s Not Better!? (**ICBINB)* virtual seminar series will be *Anna Korba** (**ENSAE/CREST**)*. More details about this series and the talk are below. The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar series* seeks to shine a light on the "stuck" phase of research. Speakers will tell us about their most beautiful ideas that didn't "work", about when theory didn't match practice, or perhaps just when the going got tough. These talks will let us peek inside the file drawer of unexpected results and peer behind the curtain to see the real story of *how real researchers did real research*. *When: *May 5th, 2022 at 10am EDT / 4pm CEST *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZMscuGsrD4sHtSIz33Nj44bzC5cpZ4FJmAq *Title:* *Limitations of the theory for sampling with kernelised Wasserstein gradient flows* *Abstract:* *Sampling from a probability distribution whose density is only known up to a normalisation constant is a fundamental problem in statistics and machine learning. Recently, several algorithms based on interactive particle systems were proposed for this task, as an alternative to Markov Chain Monte Carlo methods or Variational Inference.These particle systems can be designed by adopting an optimisation point of view for the sampling problem: an optimisation objective is chosen (which typically measures the dissimilarity to the target distribution), and its Wasserstein gradient flow is approximated by an interacting particle system, which can involve kernels. At stationarity, the stationarity states of these particle systems define an empirical measure approximating the target distribution.* *In this talk I will present recent work on such algorithms, such as Stein Variational Gradient Descent or Kernel Stein Discrepancy Descent. I will discuss some recent results that highlight bottlenecks and open questions: on the empirical side, these particle systems may suffer from convergence issues, while on the theoretical side, optimisation tools may not be sufficient to analyse these algorithms. Still, I will also discuss recent empirical results that show that there is hope in demonstrating nice approximation properties of these particle systems.* *Bio:* *Since September 2020, Anna is an assistant professor at ENSAE/ CREST in the Statistics Department. Her main line of research is in statistical machine learning. She has been working on kernel methods, optimal transport and ranking data. Currently, she is particularly interested in dynamical particle systems for ML and kernel-based methods for causal inference.* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From avinashsingh214 at gmail.com Wed Apr 27 23:09:21 2022 From: avinashsingh214 at gmail.com (Avinash K Singh) Date: Thu, 28 Apr 2022 13:09:21 +1000 Subject: Connectionists: =?utf-8?q?=5BCFP=5D_QoMEX=E2=80=9922_14th_Interna?= =?utf-8?q?tional_Conference_on_Quality_of_Multimedia_Experience?= In-Reply-To: References: Message-ID: Dear All, As the full paper deadline has been passed, we are approaching the short paper deadline. See details below: Call For Short Papers QoMEX?22 14th International Conference on Quality of Multimedia Experience September 5.-7. 2022 ? Lippstadt, Germany Short Paper Submission: *07 June 2022* https://qomex2022.itec.aau.at/ ----------------------------------------------------------------- The 14th International Conference on Quality of Multimedia Experience will be held from September 5th to 7th, 2022 in Lippstadt, Germany. It will bring together leading experts from academia and industry to present and discuss current and future research on multimedia quality, quality of experience (QoE) and user experience (UX). This way, it will contribute to excellence in developing multimedia technology, towards user well-being, and it will foster the exchange between multidisciplinary communities. The QoMEX 2022 team solicits contributions including but not limited to topics: - Immersive experiences and technologies - QoE, Big Data and Artificial Intelligence - Games User Research and Experience - New assessment and evaluation methods - Quality, experience, and user state - Quality of Life and Well-being - Multimodal perception & quality - Databases for QoE research - Audio/Visual user experience - QoE-aware networks and services management Prospective authors are invited to submit full (maximum of 6 pages) or short papers (3 +1 page of references) to the general track and to special sessions. Each paper will undergo a double-blind review process. Full and short papers will be included in the conference proceedings and published in IEEExplore (approval pending). Important Dates and Details --------------------------- Full Paper Submission: 31 March 2022 Full Paper Notification: 31 May 2022 Short Paper Submission: 07 June 2022 Short Paper Notification: 15 July 2022 Conference: September 5-7, 2022 Website: https://qomex2022.itec.aau.at Twitter: @QoMEXconf General Chair ------------- - Jan-Niklas Voigt-Antons, HSHL, Germany Technical Program Chairs ----------------------------- - Luigi Atzori, Univ. Cagliari, Italy - Sebastian M?ller, TU Berlin/DFKI Berlin, Germany - Alexander Raake, TU Ilmenau, Germany -- Regards, Avinash K Singh -------------- next part -------------- An HTML attachment was scrubbed... URL: From anna.kalenkova at adelaide.edu.au Thu Apr 28 01:48:05 2022 From: anna.kalenkova at adelaide.edu.au (Anna Kalenkova) Date: Thu, 28 Apr 2022 05:48:05 +0000 Subject: Connectionists: ICPM 2022 -- Call for Papers Message-ID: 4TH INTERNATIONAL CONFERENCE ON PROCESS MINING ICPM 2022 Call for Papers **************************************** The 4th International Conference on Process Mining will take place in a full week from October 23 to October 28, 2022, and is organized by the KRDB Research Centre for Knowledge of Data of the Faculty of Computer Science at the Free University of Bozen-Bolzano, Italy. The language of the conference is English, and its proceedings will be published by the IEEE Computational Intelligence Society. Papers presenting new methodologies, techniques and applications for process mining, as well as case studies coming from industrial scenarios are expected. Also, papers describing novel tools, fundamental research and empirical studies on process mining are sought. Selected accepted research papers will be considered for publication in an extended and revised form in a special issue of Information Systems (Elsevier). **************************************** Process mining techniques: Automated Discovery of Process Models Conformance/compliance Analysis Construction of Event Logs Event Log Quality Improvement Decision Mining for Processes Rule/constraint-based Process Mining Mining from non-process-aware systems / event streams Multi-perspective Process Mining Simulation/optimization for Process Mining Predictive Process Analytics Prescriptive Process Analytics and Recommender Systems Responsible Process Mining Privacy-preserving Process Mining Process Model Repair Process Performance Mining Variants/deviance Analysis and Root-cause Analysis Visual Process Analytics Process Monitoring **************************************** Process mining fundamental research: Formal Foundations of Process Mining Comparative and Benchmark Studies on Process Mining Conceptual Models Related to Process Mining Human-centered Studies on Process Mining Process Mining Quality Measures Process Mining Guidelines **************************************** Process mining applications and case studies in: Artificial Intelligence Blockchain Technologies Robotic Process Automation (RPA) Business Activity Monitoring and Business Intelligence (Cyber) Security and Privacy Operations Management and Lean Six Sigma Process Performance Measurement Process Reengineering Resource Management Risk Management Sensors, Internet-of-Things (IoT) and Wearable Devices Specific domains (such as accounting, finance, government, healthcare, manufacturing) **************************************** Abstract submission June 10, 2022 (*) Submission of Papers June 17, 2022 (*) Notification August 1, 2022 Camera-ready September 7, 2022 (*) PhD Consortium October 23, 2022 Workshops October 24, 2022 Industry Day October 26, 2022 Main Conference October 25, 27-28 2022 **************************************** Paper Submission: **************************************** Regular papers. Submissions must be original contributions that have not been published previously, nor submitted elsewhere while being submitted to ICPM 2022. All files must be prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5?? ? 11?? two-column format). The page limit is set to 8 pages (IEEE Format). All papers must be in English. Templates are available for Latex and Word here. The paper should be submitted through the following link: https://easychair.org/conferences/?conf=icpm2022 selecting the ?Research Track? option. **************************************** Demo abstracts. The extended abstract should be submitted through the ICPM 2022 submission system, which is reachable at https://easychair.org/conferences/?conf=icpm2021 where one should select ?ICPM Demo Track?. Demo abstracts must be no longer than 2 pages in PDF format and must adhere to the guidelines of IEEE Computational Intelligence Society, using the 8.5? ? 11? two-column format. Templates are available for Latex and Word: https://www.ieee.org/conferences/publishing/templates.html. Accepted submissions will be published as CEUR proceedings. All demo submissions will be reviewed by the demo reviewing committee. The reviewing committee will also vote on the best demo to be granted the ICPM 2022 Best Demo Award. **************************************** Industry Day: The ICPM Industry Day takes place on Wednesday and serves as a forum that brings together industry and academia to exchange ideas and experiences, and stimulate mutual cooperation. The target audience for that day includes business analysts, process managers, chief information officers, chief operations officers, digital transformation managers, project managers, process consultants, and industrial researchers. Workshops take place on Monday. Workshops facilitate the exchange of ideas and experiences among active researchers and vendors, and stimulate discussions on new and emerging perspectives in Process Mining. All workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). **************************************** Doctoral Consortium: PhD students working in the area of Process Mining are invited to submit their proposals for participation in a Doctoral Consortium, which will be held on Sunday, October 23, 2022. The manuscript must be written in English and prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5? ? 11? two-column format). The manuscript should not exceed the length of 2 pages and should be submitted (as a PDF file) by midnight (AoE) by September 02, 2022 via the ICPM 2022 website on EasyChair (?Doctoral Consortium? track). The accepted manuscripts will be published on a volume of CEUR-ws proceedings. **************************************** Registration: Full registration: early bird (until 15/08/2022) 450?; late 600?. Student registration: early bird (until 15/08/2022) 300?; late 400?. Industry day only: 150?. Workshop day only: 200?. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICPM 2022.pdf Type: application/pdf Size: 210944 bytes Desc: ICPM 2022.pdf URL: From dwang at cse.ohio-state.edu Wed Apr 27 21:58:11 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 28 Apr 2022 01:58:11 +0000 Subject: Connectionists: NEURAL NETWORKS, May 2022 Message-ID: Neural Networks - Volume 149, May 2022 https://www.journals.elsevier.com/neural-networks Zero-Hopf Bifurcation of a memristive synaptic Hopfield neural network with time delay Tao Dong, Xiaomei Gong, Tingwen Huang Anomalous diffusion dynamics of learning in deep neural networks Guozhang Chen, Cheng Kevin Qu, Pulin Gong Possibilistic classification by support vector networks Pei-Yi Hao, Jung-Hsien Chiang, Yu-De Chen Backpropagation Neural Tree Varun Ojha, Giuseppe Nicosia Cross-domain heterogeneous residual network for single image super-resolution Li Ji, Qinghui Zhu, Yongqin Zhang, Juanjuan Yin, ... Guoying Zhao Deep Bayesian Unsupervised Lifelong Learning Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer Dy Incremental learning algorithm for large-scale semi-supervised ordinal regression Haiyan Chen, Yizhen Jia, Jiaming Ge, Bin Gu Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity Parinthorn Manomaisaowapak, Jitkomut Songsiri Deep adversarial transition learning using cross-grafted generative stacks Jinyong Hou, Xuejie Ding, Jeremiah D. Deng, Stephen Cranefield Modeling learnable electrical synapse for high precision spatio-temporal recognition Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, ... Guoqi Li Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization Tao Sun, Dongsheng Li Transition dynamics and optogenetic controls of generalized periodic epileptiform discharges Zhuan Shen, Honghui Zhang, Zilu Cao, Luyao Yan, ... Zichen Deng Detecting cell assemblies by NMF-based clustering from calcium imaging data Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, ... Noboru Murata Synchronization issue of coupled neural networks based on flexible impulse control Ruihong Xiu, Wei Zhang, Zichuan Zhou Flexibly regularized mixture models and application to image segmentation Jonathan Vacher, Claire Launay, Ruben Coen-Cagli Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal Nallappan Gunasekaran, M. Syed Ali, Sabri Arik, H.I. Abdul Ghaffar, Ahmed A. Zaki Diab Significance of event related causality (ERC) in eloquent neural networks Anna Korzeniewska, Takumi Mitsuhashi, Yujing Wang, Eishi Asano, ... Nathan E. Crone -------------- next part -------------- An HTML attachment was scrubbed... URL: From diego.perez at qmul.ac.uk Wed Apr 27 13:19:11 2022 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Wed, 27 Apr 2022 17:19:11 +0000 Subject: Connectionists: 1 Fully Funded IGGI PhD Studentship for Game AI at QMUL and Creative Assembly Message-ID: Dear all, The EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI) is the world's largest PhD research programme aimed at games. We advertise for 1 PhD position for a Home UK / EU Settled status applicant. This position is fully funded and full-time for four years, starting September 2022, and it will be based at Queen Mary University of London, within the Game AI Group. This call accepts applications for one of two projects, which have been proposed by our partner Creative Assembly, one of the UK?s largest games studios which has been established for 34 years and is the author of the Total War games series. This position will include a period of 9 months working in Creative Assembly during the PhD. These projects are: - High Precision Battle Simulation for Strategy Games: https://www.iggi-phd.org/iggi-projects/high-precision-battle-simulation-for-strategy-games - Modelling Player Behaviour in Total-War Games: https://www.iggi-phd.org/iggi-projects/modelling-player-behaviour-in-total-war-games The deadline for applications is Friday 27 May 2022, 23:59 GMT. If you are interested in one of the projects and would like further details and/or to discuss, please contact the respective project supervisor(s) via the email address given in the project description. Your proposal should be developed via (email) discussion with the prospective supervisor(s). Please also make sure that the proposal you submit sits within iGGi's scope. Why Apply to IGGI IGGI brings together more than 60 researchers in games and related fields working on creating positive impact on and through games you can draw on as supervisors. You will also receive focused skills training in game design, games research methods, game development, game AI, responsible innovation, and engaging users and the public with your work. In addition, you will have access to optional training in a wide range of topics such as HCI, graphics, audio, psychology, or AI. You will also have opportunities to collaborate with other students and researchers, make games, and share your work through * the annual IGGI Game Jam, a 48 hour game development challenge as part of the Global Game Jam, enhancing your skills in game design, development, and teamwork; * the annual IGGI Conference, showcasing student research alongside industry and academic speakers; * student-led events such as research seminars, board game evenings, or workshops. IGGI will give you the opportunity to work directly with industry and social partner organisations. Placements, research exchanges, and other forms of knowledge exchange will give you the possibility to make a direct positive impact, experience the games industry first hand, and collaborate with researchers and practitioners. Current IGGI students have worked with partner organisations such as Sony Interactive Entertainment, Bossa Studios, Google, Bloomberg, PROWLER.io, Media Molecule, BT, Splash Damage, Microsoft Research, and Sue Ryder. --- Diego P?rez Li?bana Senior Lecturer in Computer Games and Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London 67-75 New Road, E1 1HH, London, UK Office: Whitechapel Campus, Empire House (DERI), second floor. email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net Email notices: 1) You may have seen that I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. [cid:d90c9153-7821-4b40-9bb6-1ef0a3161a74] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-no4t3uly.png Type: image/png Size: 12762 bytes Desc: Outlook-no4t3uly.png URL: From XIQUAN_CUI at homedepot.com Wed Apr 27 14:59:26 2022 From: XIQUAN_CUI at homedepot.com (Cui, Xiquan) Date: Wed, 27 Apr 2022 18:59:26 +0000 Subject: Connectionists: CFP: KDD 2022 Workshop on Online and Adaptive Recommender Systems (OARS) In-Reply-To: References: Message-ID: KDD 2022 Workshop on Online and Adaptive Recommender Systems (OARS) Call For Papers ================== KDD OARS is a half day workshop taking place on August 15th, 2022 in conjunction with KDD 2022 in Washington DC, USA. Workshop website: https://oars-workshop.github.io/ Important Dates: ================== - Submissions Due - May 26th, 2022 - Notification - June 20th, 2022 - Camera Ready Version of Papers Due - July 9th, 2022 - KDD OARS Workshop - August 15th, 2022 Details: ================== The KDD workshop on online and adaptive recommender (OARS) will serve as a platform for publication and discussion of OARS. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to implement OARS algorithms and systems, and improve user experiences by better modeling and responding to users? intent. We invite submission of papers and posters of two to ten pages (including references), representing original research, preliminary research results, proposals for new work, and position and opinion papers. All submitted papers and posters will be single-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics of interest include, but are not limited to: ==================================== * Novel algorithms and paradigms (deep learning, reinforcement learning, online learning etc.) * Use cases (product, content, fashion/decor, job, healthy lifestyle, interactive/conversational recommendations, etc.) * User modeling and representations (real-time user intent/style/taste modeling, combine with long term interest, incorporation of knowledge graph) * Architecture and infrastructure (novel and scalable deep learning architectures, steaming and event-driven processing, etc.) * Evaluations and explanations (evaluation, comparison, explanation of OARS for a recommendation task, off-policy and counterfactual evaluation, etc.) * Social and user impact (UX, welfare, and objectives of OARS, privacy and ethics considerations, etc.) Submission Instructions: ================== All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submissions must be formatted according to the ACM Conference Proceeding templates (two column format). Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person. Submissions to KDD OARS workshop should be made at https://easychair.org/my/conference?conf=oarskdd2022 ORGANIZERS: ================== Xiquan Cui The Home Depot, USA Vachik Dave Walmart Labs, USA Yi Su UC Berkeley, USA Julian McAuley UCSD, USA Khalifeh Al-Jadda Google Inc, USA Srijan Kumar Georgia Institute of Technology, USA Tao Ye Amazon, USA Kamelia Aryafar Google Inc, USA Mohammad Korayem CareerBuilder, Canada Contact: Please direct all your queries to xiquan_cui at homedepot.com for help. INTERNAL USE -------------- next part -------------- An HTML attachment was scrubbed... URL: From yokoya at k.u-tokyo.ac.jp Thu Apr 28 04:29:09 2022 From: yokoya at k.u-tokyo.ac.jp (Naoto Yokoya) Date: Thu, 28 Apr 2022 17:29:09 +0900 Subject: Connectionists: [Conferences] CDCEO 2022 @ IJCAI-ECAI - 2nd Call for Papers Message-ID: Apologies for cross-posting ******************************* CALL FOR PARTICIPANTS & PAPERS *2nd workshop on Complex Data Challenges in Earth Observation (CDCEO)in conjunction with IJCAI-ECAI 2022, July 23-29, 2022Vienna, Austria* Website: http://www.iarai.ac.at/cdceo22 *About CDCEO* The Big Data accumulating from remote sensing technology in-ground, aerial, and satellite-based Earth Observation (EO) has radically changed how we monitor the state of our planet. The ever-growing availability of high-resolution remote sensing data increasingly confronts researchers with the unique machine learning challenges posed by characteristic heterogeneity and correlation structures in these data. In this workshop, we will bring together leading researchers from both academia and industry across diverse domains of AI, including experts from AI, big data, remote sensing, computer vision, spatio-temporal data processing, geographic information systems, and weather and climate modeling, as well as other scientists or engineers with a general interest in the application of modern data analysis methods within the EO domain. This workshop is organized as a physical meeting and is part of IJCAI-ECAI 2022, the 31st International Joint Conference on Artificial Intelligence, and the 25th European Conference on Artificial Intelligence. *Workshop Topics* The workshop invites advanced applications and method development in image and signal processing, data fusion, feature extraction, meta-learning, and many more. The topics covered by the workshop theme include but are not limited to: - Trustworthy AI for Earth observation - Physics-informed machine learning for Earth observation - Human-in-the-loop Earth observation data analysis - Edge AI for Earth observation - Vision and language for Earth observation - Fairness and accountability in Earth observation data analysis - Spatio-temporal data processing and analysis - Multi-resolution, multi-temporal, multi-sensor, and multi-modal Earth observation data fusion - Machine learning for weather and climate research - Deep learning and its applications to, e.g., semantic segmentation, scene classification, and feature extraction - Meta learning, including transfer learning, few-shot learning, and active learning - Integration and aggregation of complementary remote sensing measurements - Benchmark datasets with applications to Earth Observation *Important Dates* Submission starts: April 1st, 2022 Workshop paper submission deadline: May 31st, 2022 Notification of paper acceptance: June 15th, 2022 Camera-ready paper submission deadline: June 30th, 2022 Workshop date: July 23-25th, 2022 (exact date TBD) *Submission Information* Authors are invited to submit original papers presenting research, position papers, or papers presenting research in progress that have not been previously published, and are not being considered for publication elsewhere. A blind reviewing process performed by members of the Program Committee will be applied to select papers based on their novelty, technical quality, potential impact, clarity, and reproducibility. Workshop papers will be included in a Workshop Proceedings published by http://ceur-ws.org/. Papers must be formatted in CEUR style guidelines. The page limit is 4 ? 6 pages plus references. At least one of the authors of the accepted papers must register for the workshop for the paper to be included in the workshop proceedings. A link to the submission site will be provided later. *Landslide4Sense Competition* A special session of the workshop will present the winning solutions and highlights from a unique Landslide4Sense competition. Realistic data for training and testing machine learning models has become vitally important for many branches of cutting-edge research in EO. The aim of Landslide4Sense is to promote innovative algorithms for automatic landslide detection using globally distributed remotely sensed images, as well as to provide objective and fair comparisons among different methods. discloses a unique large-scale multi-modal globally distributed benchmark dataset consisting of satellite images with more than 5000 patches on landslide detection. The first three participants with the highest F1 scores will be introduced as winners. In addition, allowing competition participants to provide innovative ideas more freely without being limited to a clear numerical metric, two more selected submissions will be awarded the special prizes. The ranking of these two submissions is based on the evaluation of the methodological descriptions of the introduced method by the Landslide4Sense competition committee as well as international expert reviewers. Please check our workshop website for the link to the competition website where you can find more information on the dataset and the competition deadlines. *Workshop Venue* The workshop is a part of the IJCAI-ECAI 2022 conference. The conference venue is Messe Wien Exhibition and Congress Center, which is one of the most modern exhibitions and conference centers. Messe Wien Hall B, entrance Congress Center Messeplatz 1 A-1020 Vienna Metro stop U2 ?Messe Prater? Please find more information about the conference venue here: https://ijcai-22.org/venue/ *Organizing Committee* - Pedram Ghamisi, Helmholtz-Zentrum Dresden-Rossendorf, Germany and Institute of Advanced Research in Artificial Intelligence, Austria - Aleksandra Gruca, Silesian University of Technology, Poland - Naoto Yokoya, University of Tokyo, Japan; RIKEN Center for Advanced Intelligence Project, Japan - Jun Zhou, Griffith University, Australia - Caleb Robinson, Microsoft AI for Good Research Lab, Redmond, USA - Fabio Pacifici, Maxar Technologies - Pierre-Philippe Mathieu, European Space Agency ?-lab, Italy - Sepp Hochreiter, Institute of Advanced Research in Artificial Intelligence, Austria *Contact* cdceo at iarai.ac.at -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.abbass at unsw.edu.au Thu Apr 28 09:59:15 2022 From: h.abbass at unsw.edu.au (Hussein Abbass) Date: Thu, 28 Apr 2022 13:59:15 +0000 Subject: Connectionists: Artificial Intelligence - the What and the So-What Message-ID: Dear all, I am pleased to share a 16-minute video covering some of the published papers in the IEEE Transactions on Artificial Intelligence (IEEE TAI) on the what and so-what for AI. Speakers come from UNSW Canberra, University of Cambridge, ANDRO Marconi-Rosenblatt AI/ML Innovation Lab, University of Mannheim, University of Oxford, Sorbonne Universit?, Universidad Polit?cnica de Madrid, Manchester Metropolitan University, and University of Missouri-Columbia. https://www.youtube.com/watch?v=6F60EYvnEPg Kind regards, Hussein Prof. Hussein Abbass | FIEEE, FORS, FACS, FIML, GAICD Founding Editor in Chief | IEEE Transactions on Artificial Intelligence https://mc.manuscriptcentral.com/tai-ieee _____________________________________________________________ Distinguished Lecturer | IEEE Computational Intelligence Society (2022-2024) _____________________________________________________________ Deputy Head of School - People (Acting) | School of Engineering and Information Technology University of New South Wales - Canberra Room 103 | Building 15 | Canberra | ACT 2600 | Australia _____________________________________________________________ E1: h.abbass at unsw.edu.au E2: hussein.abbass at gmail.com WP: https://www.husseinabbass.net/ WG: http://swarmshepherding.net/ In: https://au.linkedin.com/in/husseinabbassoz Tw: https://twitter.com/@HusseinAbbassOz I acknowledge the Traditional Custodians of the Country throughout Australia including the Ngunnawal People in Canberra, and pay my respects to their Elders, past and present. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Sharon.Crook at asu.edu Thu Apr 28 12:29:48 2022 From: Sharon.Crook at asu.edu (Sharon Crook) Date: Thu, 28 Apr 2022 16:29:48 +0000 Subject: Connectionists: Diversity Postdocs with Track to Tenured Position Message-ID: The School of Mathematical and Statistical Sciences at Arizona State University (ASU) invites applications for up to two Presidential Postdoctoral Fellowship positions in the area of mathematical biology (broadly defined and can include data science and large-scale computation in life sciences for example). The program seeks applicants whose professional preparedness, experience, and accomplishments are informed by experiences working with and within groups historically underrepresented in higher education in the United States.The goal of these positions is to support the career development of outstanding Ph.D. recipients with a path for a future tenure track appointment at ASU. Applications can be submitted online via https://www.mathjobs.org. Application deadline is 4:00 pm AZ Time, Sunday, May 8, 2022. All the details are here: https://www.mathjobs.org/jobs/list/19800 Sharon Crook Professor and Associate Director for Graduate Programs School of Mathematical and Statistical Sciences Barrett Honors Faculty Arizona State University https://iconlab.asu.edu From amir.kalfat at gmail.com Thu Apr 28 14:04:56 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Thu, 28 Apr 2022 19:04:56 +0100 Subject: Connectionists: [meetings] CRNS Talk Series (7) - Live Talk by Dr. Harold Soh - The National University of Singapore (NUS) - Singapore Message-ID: Dear All * *Apologies for cross-posting* * The* Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. **Harold Soh* from the* National University of Singapore (NUS)* - Singapore on Wednesday, *May 4th *from *11:00 am *to *12:30 pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/97464558182?pwd=WW92MGFGb1BvOWVEZlN0ajZRbGdTUT09&from=addon >> *Title of the talk*: Human Models for Trust and Communication *Abstract*: At CLeAR, we believe human models are crucial for fluent human-robot collaboration. When coupled with planning/learning, human models enable robots to display intelligent interactive behavior. However, crafting good human models remains difficult. In this talk, we?ll discuss facets of human modeling, starting with our efforts in capturing human trust in the robot. We?ll discuss a perspective that views trust as function learning and the impact this has in multi-task scenarios. Next, we will cover MIRROR, a new approach to quickly learn human models that are useful for (communication) planning. MIRROR is inspired by social projection theory, which hypothesizes that humans use self-models to understand others. In a similar manner, MIRROR leverages robot self-models learned using RL to bootstrap human modeling. We will examine how MIRROR performs relative to state-of-the-art methods using simulations and a human-subjects study. Finally, we?ll discuss how MIRROR can be extended towards real-time human-robot collaboration, and take a broader perspective of the challenges and opportunities that lie ahead. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From emj at uci.edu Thu Apr 28 16:29:19 2022 From: emj at uci.edu (Eric Mjolsness) Date: Thu, 28 Apr 2022 13:29:19 -0700 Subject: Connectionists: Postdoctoral Scholar position in mathematical AI for science Message-ID: <2f456572-528e-96cb-29ee-a1c0d96dbcd4@uci.edu> Dear Colleagues, I am searching for a Postdoctoral Scholar in the area of "mathematical AI for science", for a project on machine-learning and AI based model reduction methods for stochastic, spatial, structural models of dynamic cytoskeleton, in synapses and in plant cells. The methods under development include representation of graph structure and dynamics in these domains. This work will be in collaboration with relevant laboratories. The advertisement and application link are here: https://recruit.ap.uci.edu/JPF07106 . Please bring this opportunity to the attention of qualified potential applicants. thank you for your attention - Eric Mjolsness -- Eric Mjolsness Professor, Departments of Computer Science and Mathematics University of California, Irvine emj at uci.edu http://emj.ics.uci.edu Moderation in all things, including moderation itself -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcella.cornia at unimore.it Thu Apr 28 09:04:34 2022 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Thu, 28 Apr 2022 15:04:34 +0200 Subject: Connectionists: [CFP] International Workshop on "Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)" at ICPR 2022 Message-ID: ******************************** Call for Papers ?Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)? International Workshop at ICPR 2022 (2nd Edition) https://sites.google.com/view/t-cap2022 ******************************** === DEADLINE EXTENDED TO MAY 12!!! ==== Two types of paper are welcome:: ---------------------------- - Regular Papers - (novel contributions not published previously) - Presentation Papers - (papers that have been already accepted for publication previously) ---------------------------- Apologies for multiple posting Please distribute this call to interested parties AIMS AND SCOPE =============== Human-centered data are extremely widespread and have been intensely investigated by researchers belonging to even very different fields, including Computer Vision, Pattern Recognition, and Artificial Intelligence. These research efforts are motivated by the several highly-informative aspects of humans that can be investigated, ranging from corporal elements (e.g. bodies, faces, hands, anthropometric measurements) to emotions and outward appearance (e.g. human garments and accessories). The huge amount and the extreme variety of this kind of data make the analysis and the use of learning approaches extremely challenging. In this context, several interesting problems can be addressed, such as the reliable detection and tracking of people, the estimation of the body pose, the development of new human-computer interaction paradigms based on expression and sentiment analysis. Furthermore, considering the crucial impact of human-centered technologies in many industrial application domains, the demand for accurate models able also to run on mobile and embedded solutions is constantly increasing. For instance, the analysis and manipulation of garments and accessories worn by people can play a crucial role in the fashion business. Also, the human pose estimation can be used to monitor and guarantee the safety between workers and industrial robotic arms. The goal of this workshop is to improve the communication between researchers and companies and to develop novel ideas that can shape the future of this area, in terms of motivations, methodologies, prospective trends, and potential industrial applications. Finally, a consideration about the privacy issues behind the acquisition and the use of human-centered data must be addressed for both the academia and companies. TOPICS ======= The topics of interest include but are not limited to: - Human Body - People Detection and Tracking - 2D/3D Human Pose Estimation - Action and Gesture Recognition - Anthropometric Measurements Estimation - Gait Analysis - Person Re-identification - 3D Body Reconstruction - Human Face - Facial Landmarks Detection - Head Pose Estimation - Facial Expression and Emotion Recognition - Outward Appearance and Fashion - Garment-based Virtual Try-On - Human-centered Image and Video Synthesis - Generative Clothing - Human Clothing and Attribute Recognition - Fashion Image Manipulation - Outfit Recommendation - Human-centered Data - Novel Datasets with Human Data - Fairness and Biases in Human Analysis - Privacy Preserving and Data Anonymization - First Person Vision for Human Behavior Understanding - Multimodal Data Fusion for Human Analysis - Computational Issues in Human Analysis Architectures - Biometrics - Face Recognition and Verification - Fingerprint and Iris Recognition - Morphing Attack Detection IMPORTANT DATES ================= - Paper Submission Deadline: May 4 May 12, 2022 (11:59 p.m. CET) - Decision to Authors: May 30, 2022 (11:59 p.m. CET) - Camera ready papers due: June 6, 2022 (11:59 p.m. CET) - Workshop date: August 21, 2022 SUBMISSION GUIDELINES ====================== All the papers should be submitted at: https://cmt3.research.microsoft.com/TCAP2022. Papers must be prepared according to the ICPR guidelines . All papers will be reviewed by at least two reviewers with single-blind peer-review policy. Authors are required to include their names and affiliations in their papers as illustrated in the sample templates. Manuscripts must be submitted as pdf documents following one of the following templates: - Word template - LaTeX template Submissions should be 6 pages plus unlimited pages for references (IEEE format). At the time of submission, authors must indicate the type of the paper: - Regular papers: will be peer-reviewed following the same policy of the main conference and will be published in the proceedings. These are meant to present novel contributions not published previously (submitted papers should not have been published, accepted or under review elsewhere). - Presentation papers: are meant for papers that have been already accepted for publication previously, preferably in the last year in some major conferences or journals. These papers will undergo a soft-reviewing process from the chairs to assess the suitability for the workshop topics. These will not appear in the proceedings. The inclusion of both the above paper categories is meant to encourage dissemination and discussion of recent findings related to the workshop topics. Each accepted paper must be covered by at least one author registered. Authors of selected high-quality papers will be possibly invited to submit substantially extended versions for a Special Issue on an international journal. WORKSHOP MODALITY ==================== The workshop will be held in conjunction with the International Conference on Pattern Recognition (ICPR 2022). The workshop will take place in an entirely virtual mode. ORGANIZING COMMITTEE ====================== - Prof. Mohamed Daoudi, IMT Lille Douai, France - Prof. Roberto Vezzani, University of Modena and Reggio Emilia, Italy - Guido Borghi, University of Bologna, Italy - Marcella Cornia, University of Modena and Reggio Emilia, Italy - Claudio Ferrari, University of Parma, Italy - Federico Becattini, University of Florence, Italy - Andrea Pilzer, Aalto University, Finland -- *Marcella Cornia*, PhD Tenure-Track Assistant Professor (RTD-B) Dipartimento di Educazione e Scienze Umane Universit? degli Studi di Modena e Reggio Emilia e-mail: marcella.cornia at unimore.it phone: +39 059 2058790 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri Apr 29 03:53:50 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 29 Apr 2022 10:53:50 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Jan_Peters=3A?= =?utf-8?b?IOKAnFJvYm90IExlYXJuaW5n4oCdLCAxMHRoIE1heSAyMDIyIDE3OjAw?= =?utf-8?q?-18=3A00_CET=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <00b201d85acd$7c21b910$74652b30$@csd.auth.gr> <010201d85b0b$c7d591e0$5780b5a0$@csd.auth.gr> Message-ID: <02c601d85b9e$441bc2a0$cc5347e0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Jan Peters (Technische Universitaet Darmstadt, Germany), a prominent AI & Robotics researcher internationally, will deliver the e-lecture: ?Robot Learning?, on Tuesday 10th May 2022 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/92400537552 & Passcode: 148148 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , TAILOR , VISION , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are 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 lecture: Prof. Luc De Raedt (KU Leuven, Belgium), ?Probabilistic Logics to Neuro-Symbolic Artificial Intelligence?, 7th June 2022 17:00 ? 18:00 CET. More lecture infos in: https://www.i-aida.org/events/probabilistic-logics-to-neuro-symbolic-artificial-intelligence/ 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, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From sylvain.calinon at gmail.com Fri Apr 29 07:50:59 2022 From: sylvain.calinon at gmail.com (Sylvain Calinon) Date: Fri, 29 Apr 2022 13:50:59 +0200 Subject: Connectionists: [jobs] Postdoc and PhD positions at Idiap/EPFL in Switzerland (research theme: learning and optimal control for robot manipulation) Message-ID: <1b6c6afa-be6c-6f43-d20f-d1ecad2259a2@gmail.com> Dear colleagues, We have two Postdoc positions and two PhD Student positions opened in the Robot Learning & Interaction group at the Idiap Research Institute in Switzerland, with the opportunity to work in European collaborative projects, see https://calinon.ch/open-positions.htm for more information. Best regards, Sylvain -- Dr Sylvain Calinon Idiap Research Institute https://calinon.ch From marcin at amu.edu.pl Sat Apr 30 08:14:18 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 30 Apr 2022 14:14:18 +0200 Subject: Connectionists: =?utf-8?q?REMINDER_FedCSIS_2022_--HYBRID_conferen?= =?utf-8?q?ce_=28IEEE=3A_=2354150=2C_CORE_B_Ranked=2C_70_punkt=C3=B3w_para?= =?utf-8?q?metrycznych_MEiN=29?= In-Reply-To: References: Message-ID: <71637fab-964b-f2d3-5a94-0f19fae0a85e@amu.edu.pl> CALL FOR PAPERS 17th Conference on Computer Science and Intelligence Systems (FedCSIS?2022) Sofia, Bulgaria, 4-7 September, 2022 (HYBRID CONFERENCE) (IEEE: #54150, CORE B Ranked, 70 punkt?w parametrycznych MEiN) www.fedcsis.org Strict submission deadline: May 10, 2022, 23:59:59 AoE (no extensions) ************************************************************************ KEY FACTS: - Hybrid conference; - Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus, Web of Science (for complete list, see conference site); - Ranked CORE B (for Polish scientists ? 70 punkt?w parametrycznych MEiN); - 21 Technical Sessions in 5 Tracks; and Doctoral Symposium; - Data Mining Competition -- 1000 USD AWARD for best solution; - Keynote speakers: Krassimir Atanassov, Thomas Blaschke, Chris Cornelis, Franco Zambonelli; - Celebrating 40 years of Rough Sets; - Zdzislaw Pawlak Best Paper Award(s); - Organized by Polish Information Processing Society and multiple IEEE Chapters and Sections (see, conference site); - Strategic partner ? QED Software. Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. It is technically sponsored by a number of IEEE units and other professional organizations (for the full list, see the conference site). The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and intelligence systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions, focused on their scientific and professional interests in computer science and intelligence systems. Since June 2021, FedCSIS is ranked CORE B. This resulted in FedCSIS delivering 70 parametric points to Polish researchers (since November 2021). Since 2012, Proceedings of the FedCSIS conference are indexed in SCOPUS, DBLP and other indexing services. Information about FedCSIS indexing / bibliometry / rankings can be found at: https://www.fedcsis.org/2022/indexation. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2022 consists of five conference Tracks, hosting Technical Sessions: Track 1: Advanced Artificial Intelligence in Applications (17th Symposium AAIA'22) * Artificial Intelligence for Next-Generation Diagnostis Imaging (1st Workshop AI4NextGenDI'22) * Intelligence for Patient Empowerment with Sensor Systems (1st Workshop AI4Empowerment'22) * Intelligence in Machine Vision and Graphics (4th Workshop AIMaViG'22) * Ambient Assisted Living Systems (1st Workshop IntelligentAAL'22) * Personalization and Recommender Systems (1st Workshop PeRS'22) * Rough Sets: Theory and Applications (4th International Symposium RSTA'22) * Computational Optimization (15th Workshop WCO'22) Track 2: Computer Science & Systems (CSS'22) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'22) * Computer Aspects of Numerical Algorithms (15th Workshop CANA'22) * Concurrency, Specification and Programming (30th International Symposium CS&P'22) * Multimedia Applications and Processing (15th International Symposium MMAP'22) * Scalable Computing (12th Workshop WSC'22) Track 3: Network Systems and Applications (NSA'22) * Complex Networks - Theory and Application (1st Workshop CN-TA'22) * Internet of Things - Enablers, Challenges and Applications (6th Workshop IoT-ECAW'22) * Cyber Security, Privacy and Trust (3rd International Forum NEMESIS'22) Track 4: Advances in Information Systems and Technologies (AIST'22) * Data Science in Health, Ecology and Commerce (4th Workshop DSH'22) * Information Systems Management (17th Conference ISM'22) * Knowledge Acquisition and Management (28th Conference KAM'22) Track 5: Software, System and Service Engineering (S3E'22) * Cyber-Physical Systems (9th Workshop IWCPS-8) * Model Driven Approaches in System Development (7th Workshop MDASD'22) * Software Engineering (42th IEEE Workshop SEW-42) Recent Advances in Information Technology (7th Symposium DS-RAIT'22) KEYNOTE SPEAKERS * Krassimir Atanassov Bulgarian Academy of Sciences, Sofia, Bulgaria https://scholar.google.com/citations?hl=pl&user=K-vuWKsAAAAJ * Thomas Blaschke University of Salzburg, Salzburg, Austria https://scholar.google.com/citations?user=kMroJzUAAAAJ * Chris Cornelis Ghent University, Ghent, Belgium https://scholar.google.com/citations?hl=pl&user=ln46HlkAAAAJ * Franco Zambonelli University of Modena e Reggio Emilia, Bologna, Italy https://scholar.google.com/citations?hl=pl&user=zxulxcoAAAAJ DATA MINING COMPETITION -- Predicting the Costs of Forwarding Contracts The topic of this year's data mining competition is prediction of costs related to the execution of forwarding contracts. The data sets will contain multiple years of history of orders appearing on the transport exchange, along with details such as the type of order, basic characteristics of the shipped goods (e.g., dimensions, special requirements), as well as the expected route that a driver will have to cover. The task will be to develop a predictive model that will assess the actual cost of individual orders as accurately as possible (for detailed information see: https://fedcsis.org/2022/aaia/dm). Prizes for best solutions are: ? 1,000 USD for the winning solution (+ the cost of one FedCSIS?2022 registration) ? 500 USD for the 2nd place solution (+ the cost of one FedCSIS?2022 registration) ? 250 USD for the 3rd place solution (+ the cost of one FedCSIS?2022 registration) ZDZISLAW PAWLAK BEST PAPER AWARD The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award CELEBRATING 40 YEARS OF ROUGH SETS: In order to commemorate the first article on rough sets, published by Zdzislaw Pawlak in 1982 in International Journal of Computer and Information Sciences (currently International Journal of Parallel Programming), we extend the conference program by the special anniversary lecture delivered by: * Andrzej Skowron Systems Research Institute of Polish Academy of Sciences, Warsaw, Poland https://scholar.google.com/citations?user=fYu9ryIAAAAJ&hl=en The lecture will be a part of the 4th International Symposium on Rough Sets: Theory and Applications (RSTA'22), and it will refer also to the 30th anniversary of the series of International Symposia on Concurrency, Specification and Programming (CS&P'22). PAPER SUBMISSION AND PUBLICATION + Papers should be submitted by May 10, 2022 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2022). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES + Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Marcin Paprzycki, Dominik Slezak CONTACT FedCSIS at: secretariat at fedcsis.org FedCSIS in Social Media: FedCSIS on Facebook: http://tinyurl.com/FedCSISFacebook FedCSIS on LinkedIN: https://tinyurl.com/FedCSISonLinkedIN FedCSIS on Twitter: https://twitter.com/FedCSIS FedCSIS on XING: http://preview.tinyurl.com/FedCSISonXINGTo -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From david at irdta.eu Sat Apr 30 05:52:56 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 30 Apr 2022 11:52:56 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration May 17 Message-ID: <195982627.1394252.1651312376888@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: May 17, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wolfram Burgard (University of Freiburg), Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Daniele Bonacorsi (University of Bologna), [intermediate/advanced] Applied ML for High-Energy Physics Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Peng Cui (Tsinghua University), [introductory/advanced] Towards Out-Of-Distribution Generalization: Causality, Stability and Invariance S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning Shirley Ho (Flatiron Institute), [intermediate] Structured Machine Learning for Simulations Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [introductory/intermediate] Deep Learning with Limited Data Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by October 9, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From moshaiov at tauex.tau.ac.il Fri Apr 29 09:51:23 2022 From: moshaiov at tauex.tau.ac.il (Amiram Moshaiov) Date: Fri, 29 Apr 2022 13:51:23 +0000 Subject: Connectionists: Final Call for Abstracts: PPSN 2022 Workshop on Parallelism in Knowledge Transfer In-Reply-To: References: Message-ID: Dear Colleagues, We would like to inform you that we will be hosting a workshop on Parallelism in Knowledge Transfer. The WS will be held in conjunction with The 17th International Conference on Parallel Problem Solving from Nature (PPSN XVII) September 10-14, 2022 Dortmund, Germany https://ppsn2022.cs.tu-dortmund.de/. Overview of the workshop: The utilization of knowledge from past experiences is common to the process of learning and to problemsolving by humans. Inspired by humans, researchers in computational intelligence have been developing transfer learning and transfer optimization techniques (TL&TO). TL refers to transfer of knowledge in machine learning techniques to improve performance under limited training data, whereas TO refers to such transfer for accelerating convergence rates in the search for optimal solutions under some criteria. In the last two decades various TL techniques have been studied and their effectiveness has been demonstrated over a large set of problems. This success has been followed with similar attempts in the area of TO, with a particular emphasis on population based bio-inspired optimization approaches. The main goal of this workshop is to provide a meeting place for PPSN participants who are interested in research on bio-inspired TL&TO techniques. We aim to discuss current research on the development of such techniques and on their real-life applications. Finally, we expect to suggest future research directions for TL&TO. The complete call is attached. We invite authors/participants to submit new ideas, positional statements, and reviews/summaries/comments on Parallelism in Knowledge Transfer. Submissions should be in the form of extended abstracts (2-4 page abstract PDF file in LNCS format). Please send your submission to moshaiov at tauex.tau.ac.il Important Dates: Abstract Submission: May 6, 2022 Notification of Acceptance: May 23, 2022 PPSN 2022 Conference: September 12-14, 2022 For further information, please visit https://www.eng.tau.ac.il/~moshaiov/Transfer_WS_Webpage.html Looking forward to your contributions. Best Regards, Ami On behalf of the organizers. Abhishek Gupta, Amiram (Ami) Moshaiov and Yaochu Jin -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Call for Abstracts Transfer WS.pdf Type: application/pdf Size: 237775 bytes Desc: Call for Abstracts Transfer WS.pdf URL: From antonio.carta at unipi.it Fri Apr 29 12:17:22 2022 From: antonio.carta at unipi.it (Antonio Carta) Date: Fri, 29 Apr 2022 16:17:22 +0000 Subject: Connectionists: [CfP - Deadline extended] Pervasive Artificial Intelligence Workshop @ IEEE WCCI 2022 Message-ID: <8ddc82a11fab4e45bc5b3715fd56b9f6@unipi.it> Call for Papers Pervasive Artificial Intelligence Workshop IEEE WCCI 2022 - July 18-23 2022 Padua - Italy http://pai.di.unipi.it/paiw2022/ The WCCI 2022 Workshop on Pervasive AI aims to establish a new multidisciplinary community tackling challenges across edge AI, continual learning, embedded, distributed and federated learning, neuromorphic computing, AI-HPC, sustainable AI. AI is becoming a pervasive technology in ICT systems development, as well as for its presence in products and services of daily use. In particular, a pervasive use of neural-based methodologies and technologies comes at the cost of increased functional and non-functional requirements related to fundamental properties, such as energy efficiency, ability to continuously adapt to changing conditions and tasks, dependability, security and human-machine interactivity. The workshop encourages submissions from academia, industrial projects, and international research projects. Relevant topics include but are not limited to: - Adaptive placement of applications on the Cloud-Iot continuum - Algorithms, software and hardware platforms for high-performance and scalable processing of AI and ML models - Continuous reasoning on Cloud-IoT applications - Cybersecurity in ML - Design and development of algorithms, models and software for AI and ML - Distributed and embedded AI and learning - Distributed, embedded and in-silico neural computation - Deep graph networks in pervasive AI applications - Federated learning - Intelligent IoT and cyber-physical systems - Learning on streaming data and continual learning - Multi-agents systems in pervasive computing - Methods, algorithms and systems for human-aware, secure and safe AI in pervasive computing scenarios - ML-on-Cloud, ML-for-the-Cloud, ML as a service - ML-Ops - Neuromorphic computing - Learning at-the-edge - Safe AI - Sustainable AI - Trustworthy AI Submission Guidelines The workshop offers the possibility to opt for either non-archival contributions or published proceedings papers. Only regular papers, as defined below, can be included in the proceedings. The latter will be published under the CEUR-WS AIxIA series, which is open access and fully indexed by Scopus, DBLP and Scholar. The workshop accepts the following types of contributions: - Regular papers (min 10 pages, max 12 pages refs included): papers presenting mature research contributions - Short papers (min 5 pages, max 8 pages): papers presenting preliminary ideas, work in progress, position statements All contributions, irrespective of the type, will undergo a single blind peer review process with 2-3 anonymous referees. Articles should be formatted according to the CEUR-WS style: http://ceur-ws.org/Vol-XXX/CEURART.zip Submissions are handled via Easychair: https://easychair.org/conferences/?conf=paiw22 Important Dates Submission Deadline: May 12th 2022, AoE Notification to authors: May 31st 2022 Camera-ready upload: June 15th 2022, AoE Workshop dates: 18-19 July 2022 (exact day to be confirmed) Organizing Committee Davide Bacciu, Universit? di Pisa Antonio Carta, Universit? di Pisa Patrizio Dazzi, Consiglio Nazionale delle Ricerche Magdalini Eirinaki, San Jose State University Iraklis Varlamis, Harokopio University of Athens -------------- next part -------------- An HTML attachment was scrubbed... URL: From chandangautam31 at gmail.com Fri Apr 29 13:13:14 2022 From: chandangautam31 at gmail.com (Chandan gautam) Date: Sat, 30 Apr 2022 01:13:14 +0800 Subject: Connectionists: Call for Papers - 29th ICONIP-2022 Message-ID: *29th International Conference on Neural Information Processing (ICONIP 2022)* November 22-26, 2022 New Delhi, India https://www.iconip2022.apnns.org/ Dear Colleague, We would like to invite you to submit your paper to the 29th International Conference on Neural Information Processing (ICONIP 2022), New Delhi, India, November 22-26, 2022. - The conference website: https://iconip2022.apnns.org/index.php - Submission Page: https://easychair.org/conferences/?conf=iconip2022 ICONIP is the annual flagship conference organized by the Asia Pacific Neural Network Society (APNNS). ICONIP 2022 aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievement, through its regular sessions, special sessions, tutorials, and workshops. Topics of interest include but are not limited to: *A. Theory and Algorithms* - Causality and explainable AI - Computational intelligence - Control and decision theory - Constraint and uncertainty theory - Machine learning - Neurodynamics - Neural network models - Optimization - Pattern recognition - Time series analysis *B. Computational and Cognitive Neurosciences* - Affective and cognitive learning - Biometric systems/interfaces - Brain-machine interface - Computational psychiatry - Decision making and control - Neuroeconomics - Neural data analysis - Reasoning and consciousness - Sensory perception - Social cognition *C. Human Centred Computing* - Bioinformatics - Biomedical information - Healthcare - Human activity recognition - Human-centred design - Human?computer interaction - Neuromorphic hardware - Recommender systems - Social networks - Sports and rehabilitation *D. Applications* - Big data analysis - Computational finance - Image processing and computer vision - Data mining - Information security - Information retrieval - Multimedia information processing - Natural language processing - Robotics and control - Web search and mining ICONIP 2022 will deliver keynote speeches, invited talks, full paper presentations, posters, tutorials, workshops, social events, etc. Like previous years, the Proceedings are proposed to be published in the Springer series of Lecture Notes in Computer Science (LNCS) and Communications in Computer and Information Science (CCIS). Selected papers will be published in a special issue of an SCI journal. *Important dates:* - Submission of papers: 11:59pm (AoE), June 15, 2022 - Acceptance notification: 11:59pm (AoE), August 15, 2022 - Camera ready: 11:59pm (AoE), August 31, 2022 - Conference date: 11:59pm (AoE), November 22-26, 2022 Thank you so much for your kind support in this conference. If you have any queries, please contact us: iconip2022 at gmail.com Kind Regards, ICONIP 2022 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From hussain.doctor at gmail.com Sat Apr 30 18:55:44 2022 From: hussain.doctor at gmail.com (Amir Hussain) Date: Sat, 30 Apr 2022 23:55:44 +0100 Subject: Connectionists: UK EPSRC funded COG-MHEAR Research Fellowships & IEEE EMBC 2022 Workshop invite In-Reply-To: References: Message-ID: Dear friends, Please see below and help circulate as appropriate - thank you in advance. (1) The UK EPSRC funded COG-MHEAR research programme (http://cogmhear.org) is recruiting two postdoctoral research fellows based at Edinburgh Napier University - please see application details below. COG-MHEAR Research Fellow post 1 (for up to 39 months - closing date: 8th May 2022): https://www.s1jobs.com/job/research-fellow-cog-mhear-63666718 COG-MHEAR Research Fellow post 2 (for up to 30 months - closing date: 22nd May 2022): https://www.s1jobs.com/job/research-fellow-cog-mhear-63666724 (2) COG-MHEAR Workshop at IEEE EMBC 2022, Glasgow 11-15 July 2022 Don't miss our forthcoming COG-MHEAR Workshop on ?Challenges and Opportunities in Developing Multi-Modal, Transformative Hearing Assistive Technologies? being held as part of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2022, in Glasgow, Scotland, UK, on 11th July, 2022 ( https://embc.embs.org/2022/) Workshop Synopsis: Hearing loss affects at least 1.5 billion people globally and is associated with poorer health and social outcomes. The World Health Organisation (WHO) estimates 83% of people who could benefit from hearing aids (HAs) do not use them. Barriers to HA uptake are multifaceted but can include: social stigma; cost; a lack of understanding of hearing loss interventions; and limitations of current HA technology. Limited research developments in speech enhancement have been implemented into commercially available HAs. However, even sophisticated aids remain ineffective in very noisy environments where human performance is known to be dependent upon input from both the aural and visual senses. Creating multi-modal HAs that draw on the principles of normal, visually-assisted, hearing raises many technical and usability challenges which need to be tackled holistically. For example, making use of lip movements or facial expressions traditionally requires a video camera filming the speaker, which introduces questions of privacy. Ambitious solutions to these challenges include exploring the use of radio signals for remote monitoring and designing all processing to be done on the hearing device itself to minimise latency and increase privacy. This interdisciplinary workshop will be facilitated by leading academic and industry experts who will showcase a hands-on demonstration of a first of its kind real-time, multi-modal speech enhancement prototype that can exploit lip reading cues to effectively enhance speech in real noisy environments. The workshop will serve to stimulate discussions on current trends, future research and innovation, clinical evaluation and commercialisation challenges and opportunities to transform the current HA landscape. The prototype demonstrator will be made freely available as an open testbed for further research, evaluation and benchmarking by participants, who will also benefit from interdisciplinary networking and collaboration opportunities. You can register for our Workshop (number 29) via the EMBC website: https://embc.embs.org/2022/workshops-2/ We hope to see you soon. Kindest regards Amir --- Professor Amir Hussain Programme Director: EPSRC COG-MHEAR (http://cogmhear.org) Editor-in-Chief: Cognitive Computation (Springer Nature - http://springer.com/12559) School of Computing, Edinburgh Napier University Edinburgh EH10 5DT, Scotland, UK E-mail: A.Hussain at napier.ac.uk https://www.napier.ac.uk/people/amir-hussain -------------- next part -------------- An HTML attachment was scrubbed... URL: From aruneshsinha at gmail.com Sat Apr 30 20:14:39 2022 From: aruneshsinha at gmail.com (Arunesh Sinha) Date: Sun, 1 May 2022 08:14:39 +0800 Subject: Connectionists: [CFP] Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022) Message-ID: --------------------------------------------------------------------------------------------------- *CODS-COMAD 2022* 9th ACM IKDD CODS and 27th COMAD 5th Joint International Conference on Data Science & Management of Data January 4-7, 2023 IIT Bombay https://cods-comad.in/ ---------------------------------------------------------------------------------------------------- We are pleased to announce The 5th Joint International Conference on Data Sciences and Management of Data to be held in Bangalore, India, on January 8-10, 2022 as a hybrid event. CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 5th time as a common conference bringing together the COMAD and the CODS communities, the conference invites researchers in the field of databases, data sciences and their applications to submit their original work. *- CALL FOR PAPERS -* RESEARCH TRACK The research track invites full as well as short papers describing innovative and original research contributions in the areas of data management, data science, machine learning and AI. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking. The goal of the short papers is to provide a venue for innovative ideas such as engineered solutions, exciting work-in-progress or even negative results that would be interesting to the broader community. Authors of accepted papers will get an opportunity to showcase their work as an oral presentation. For more details visit: https://cods-comad.in/call-for-research-track-papers.php APPLIED DATA SCIENCE TRACK The Applied Data Sciences (ADS) track invites both full as well as short papers describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems. Technical approaches can include data science, data mining, applied machine learning, testing and governance of data science models and solutions, and practical MLOps approaches. Accepted papers will be given the opportunity to present their work as an oral presentation. For more details, visit: https://cods-comad.in/call-for-applied-data-science-track-papers.php TUTORIALS Tutorials at CODS-COMAD offer a platform to showcase state-of-the-art tools and technologies to support research, development and applications of data systems, data science, data management and platforms, data-driven applications, ethics of data science etc. We solicit tutorial proposals on all topics of interest to the CODS-COMAD conference. For more details, visit: https://cods-comad.in/call-for-tutorial-proposals.php DEMO TRACK The demonstration (demo) track invites submissions from academia and industry where a live or pre-recorded demonstration of the software system, prototype, conceptual design or library adds significant value to the work. Submissions should not exceed 4 pages and (unlimited) references. Topics of interest include data systems, data science, data management and platforms, data-driven applications etc. The scope for demos is broad and includes all topics of interest to the CODS-COMAD conference. The demo should be the result of innovative work including solving novel technical or research problems and/or creating novel UI/UX. Authors of accepted demo track papers will have the option to do either a recorded demo or a live demo at the conference site. For more details, visit: https://cods-comad.in/call-for-demo-track-papers.php YOUNG RESEARCHERS' SYMPOSIUM The Young Researchers? Symposium at CODS-COMAD 2023 invites submissions from students and postdoctoral fellows. This is a unique opportunity for young researchers to have fruitful peer-to-peer discussions and to get feedback from leading senior researchers about their current research work. Submissions to the Young Researchers' Symposium (YRS) are in the form of a 2-page extended abstract, and are invited on the topics such as data systems, data science, data management and platforms, data-driven applications etc. We welcome many kinds of papers, such as, but not limited to: novel research papers, work-in-progress papers, appraisal papers of existing methods and tools (e.g., lessons learned). The first author of any submission should be an undergraduate/postgraduate/Ph.D. student or a Postdoctoral researcher affiliated with any academic institution. Authors of accepted papers will get a chance to present their work both as a poster and a quick lightning talk at the conference. For more details, visit: https://cods-comad.in/call-for-young-researchers-symposium-papers.php DIFFERENCE BETWEEN RESEARCH AND APPLIED DATA SCIENCE TRACK Check the link below to help you decide which track to submit your paper to. It is the authors? responsibility to submit their paper into the appropriate track. Papers that do not satisfy the requirements (e.g., a research track paper) might be rejected without a formal review. https://cods-comad.in/call-for-young-researchers-symposium-papers.php *IMPORTANT DATES* July 3, 2022: Abstract submission deadline in Research and Applied Data Science tracks July 10, 2022: Paper submission deadline in Research and Applied Data Science tracks September 11, 2022: First Stage Accept/Major Revision/ Reject decisions in Research and Data Science tracks September 15, 2022: Paper submission deadline in Demo and Young Researchers' Symposium tracks. Tutorial proposal deadline October 9, 2022: Re-submission of revised manuscripts in Research and Applied Data Science tracks October 30, 2022: Final Notifications of Accept / Reject decisions across all tracks November 15, 2022: Camera ready submission deadline across all tracks *PAPER SUBMISSION LINK* https://easychair.org/conferences/?conf=codscomad2023 *SUBMISSION INSTRUCTIONS AND POLICIES* Detailed submission instructions, submission format, page limits, conflict of interest, dual submission, plagiarism and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/common-instructions-policies.php *AWARDS* The best paper in each track will receive an award citation *TRAVEL GRANTS* Conference will provide travel assistance to a reasonable number of students whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course. *ORGANIZING COMMITTEE* General Chairs Pushpak Bhattacharyya (IIT Bombay) Amr El Abbadi (University of California, Santa Barbara) PC Chairs (Research Track) Praneeth Nethrapalli (Google Research) Louiqa Raschid (University of Maryland) PC Chairs (Applied Data Science Track) Tanuja Ganu (Microsoft) Ponnurangam Kumaraguru (IIIT Hyderabad) Tutorial Chairs Animesh Mukherjee (IIT Kharagpur) Kalapriya Kannan (Hewlett Packard Enterprise) Demo Chairs Mayank Vatsa (IIT Jodhpur) Anoop Kunchukuttan (Microsoft) Young Researchers' Symposium (YRS) Chairs Preethi Jyothi (IIT Bombay) Bivas Mitra (IIT Kharagpur) Diversity & Inclusion Chairs Chitra Babu (SSN Institutions) Balaraman Ravindran (IIT Madras) Proceedings Chair Abhinandan SP (NIE Mysore) Charu Sharma (IIIT Hyderabad) Publicity Chairs Rajiv Ratn Shah (IIIT Delhi) Arunesh Sinha (Singapore Management University) Sponsorship Chairs Shourya Roy (Flipkart) Yogesh Simmhan (IISc Bangalore) Local Organizing Chairs Biplab Banerjee (IIT Bombay) Manoj Nambiar (TCS Research) Finance Chair Chandrashekhar Sahasrabudhe (ACM India) Raj Sharma (Goldman Sachs) Thanks, Arunesh Sinha -------------- next part -------------- An HTML attachment was scrubbed... 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