From lucas.bechberger at uni-osnabrueck.de Mon Feb 1 06:53:22 2021 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Mon, 1 Feb 2021 12:53:22 +0100 Subject: Connectionists: First Call for Abstracts CARLA 2021 Message-ID: Thefirst international workshop ?Concepts in Action: Representation, Learning, and Application? took place at theInstitute of Cognitive Science at Osnabr?ck University in 2018, followed by a virtual event as part of the Bolzano Summer of Knowledge (BOSK) in 2020. Following its great success, we are organizing a third international workshop ?Concepts in Action: Representation, Learning, and Application? (CARLA) in 2021. We invite the submission of abstracts to the workshop. Time and Venue: Date:16.09.2021 - 17.09.2021 Venue:Bolzano & virtual (hybrid event), co-located with FOIS 2021 (13.09.2021 - 16.09.2021) and ICCS 2021 (20.09.2021 - 23.09.2021). IMPORTANT:CARLA 2021 is currently planned to be conducted as a hybrid event allowing for both physical and virtual attendance. More information about how to attend will follow. Invited Talks: Monique Flecken , Max Planck Institute for Psycholinguistics, Nijmegen Antonio Lieto , Department of Computer Science, University Turin Call for Abstracts: "Concepts in Action: Representation, Learning, and Application" (CARLA) is an international workshop aimed at fostering interdisciplinary exchange about research on concepts. It invites contributions from all fields related to cognitive science, including (but not limited to) linguistics, artificial intelligence, psychology, philosophy, logic, and computer science. The workshop is open for research on any aspect of concepts, but there are three overarching topics that are of special interest with the following (not exhaustive) list of exemplary subtopics: * Representation: How can we formally describe and model concepts? o Conceptual Spaces, Conceptual Domains, Frames o Lexical Semantics and Pragmatics o Grounded Cognition, Embodiment, 4E Cognition * Learning: Where do concepts come from and how are they acquired? o Evolution of Concepts o Cross-Cultural and Social Aspects of Concepts o Developmental Psychology of Concepts * Application: How are concepts used in cognitive tasks? o Event Cognition o Artificial Agents o Concept Blending, Metaphors, Creativity This workshop provides an excellent opportunity to present and discuss ongoing research on concepts, both from theoretical/formal and applied/experimental viewpoints. We invite concept researchers from all fields related to cognitive science to submit abstracts to the workshop. Submission and Publication: We invite the submission of abstracts via EasyChair untilMay 16, 2021. Acceptance notifications will be sent out by June 16, 2021. The abstracts should use two to three pages (including references) and should be uploaded as pdf based on the following template (LaTeX or Word): LINK We will use the following EasyChair instance to collect and review the submissions: https://easychair.org/conferences/?conf=carla2021 Depending on the number and quality of the received submissions, selected contributions may be published after the workshop. More information on this will follow. More Information: You can find more information on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2021.html If you have any further questions, please feel free to contact us via concepts at uos.de . Organizers: Lucas Bechberger , Institute of Cognitive Science, Osnabr?ck University Viviana Haase, Institute for Philosophy II, Ruhr University Bochum Nicol?s Araneda Hinrichs, Institute for Applied Linguistics and Translatology, University Leipzig & Laboratory for Psycholinguistics, University Concepci?n Mingya Liu, Department of English and American Studies, Humboldt University of Berlin Alessandro Panunzi, Universit? degli Studi di Firenze; University of Florence Stefan Schneider Corina Str??ner , Emmy Noether Group ?From perception to belief and back again?, Ruhr University Bochum Paola Vernillo, Universit? degli Studi di Firenze; University of Florence -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail: lucas.bechberger at uni-osnabrueck.de Homepage: https://www.lucas-bechberger.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5406 bytes Desc: S/MIME Cryptographic Signature URL: From verena.arndt at fu-berlin.de Mon Feb 1 07:27:09 2021 From: verena.arndt at fu-berlin.de (Verena Arndt) Date: Mon, 1 Feb 2021 13:27:09 +0100 Subject: Connectionists: =?utf-8?q?Postdoctoral_and_doctoral_positions_at_?= =?utf-8?q?Freie_Universit=C3=A4t_Berlin?= Message-ID: <31CD8F2B-D5D8-4D80-B6A7-22D903CABF41@fu-berlin.de> Several postdoctoral and doctoral positions in cognitive neurocomputational modelling are available at the Freie Universit?t Berlin, research group on Neuroscience of language and pragmatics, in the context of a new ERC funded Advanced Grant on the Material Constraints Enabling Human Cognition, MatCo . The application deadline is 15.2.2021. Please find more information in the attached job advert. Kind regards Verena Arndt Sekretariat Prof. Dr. Dr. Pulverm?ller FU Berlin, FB Philosophie und Geisteswissenschaften, WE4 Labor f?r Gehirn- und Sprachforschung Leitung: Prof. Dr. Dr. Pulverm?ller http://brainlang.fu-berlin.de/ Habelschwerdter Allee 45 14195 Berlin Tel. 030-83858140 Fax 030-838458140 verena.arndt at fu-berlin.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Jobadvert_MatCo_20210127_english_cc.pdf Type: application/pdf Size: 199039 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Mon Feb 1 06:38:02 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Mon, 1 Feb 2021 12:38:02 +0100 Subject: Connectionists: CFP: CVPR 2021 Mobile AI workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 7 CHALLENGES 1st Mobile AI workshop and challenges on learned ISP, denoising, HDR, image/video super-resolution, depth estimation, scene detection In conjunction with CVPR 2021, June, Nashville, USA (VIRTUAL). Website: https://ai-benchmark.com/workshops/mai/2021/ TOPICS ? Efficient deep learning models for mobile devices ? Artifacts removal from mobile photos/videos ? General smartphone photo/video enhancement ? RAW camera image/video processing ? Deep learning applications for mobile camera ISPs ? Image/video super-resolution on low-power hardware ? Portrait segmentation / bokeh effect rendering ? Depth estimation w/o multiple cameras ? Perceptual image manipulation on mobile devices ? Activity recognition using smartphone sensors ? Image/sensor based identity recognition ? Fast image classification / object detection algorithms ? NLP models optimized for mobile inference ? Real-time semantic segmentation ? Low-power machine learning inference ? Machine learning and deep learning frameworks for mobile devices ? AI performance evaluation / benchmarking of mobile and IoT hardware ? Studies and applications of the above problems SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. http://cvpr2021.thecvf.com/node/33 The review process is double blind. Accepted and presented papers will be published in the CVPR 2021 Workshops Proceedings. Author Kit: http://cvpr2021.thecvf.com/sites/default/files/2020-09/cvpr2021AuthorKit_2.zip Submission site: https://cmt3.research.microsoft.com/MAI2021 WORKSHOP DATES ? *Regular Papers Submission Deadline: March 05, 2021* ? Challenge Papers Submission Deadline: March 28, 2021 CHALLENGES ? *Learned Smartphone ISP* (Evaluation platform: MediaTek Dimensity APU) - Powered by MediaTek ? *Image Denoising* (Eval. platform: Exynos Mali GPU) - Powered by Samsung ? *HDR Image Processing* (Eval. platform: Kirin DaVinci NPU) - Powered by Huawei ? *Image Super-Resolution* (Eval. platform: Synaptics Dolphin NPU) - Powered by Synaptics ? *Video Super-Resolution* (Eval. platform: Snapdragon Adreno GPU) - Powered by OPPO ? *Depth Estimation* (Eval. platform: Raspberry Pi 4) - Powered by Raspberry Pi ? * Camera Scene Detection* (Eval. platform: Apple Bionic) - Powered by CVL To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the Mobile AI 2021 web page: https://ai-benchmark.com/workshops/mai/2021/ For those interested in restoration, enhancement, manipulation, classification without specific mobile hardware constraints we refer to the CVPR21* NTIRE Workshop and Challenges:* https://data.vision.ee.ethz.ch/cvl/ntire21/ CHALLENGES DATES ? Release of train data: January 10, 2020 ? *Competitions end: March 08, 2020* ORGANIZERS (TBU) ? Andrey Ignatov ( ETH Zurich) ? Radu Timofte ( ETH Zurich) ? Luc Van Gool ( ETH Zurich and KU Leuven) ? Martti Ilmoniemi ( Huawei Technologies Oy (Finland) Co. Ltd) ? Cheng-Ming Chiang ( MediaTek Inc.) ? Hsien-Kai Kuo ( MediaTek) ? Kim Byeoung-su ( Samsung Electronics Co., Ltd.) ? Gaurav Arora ( Synaptics Inc.) ? Abdel Younes ( Synaptics Inc.) ? David Plowman ( Raspberry Pi (Trading) Ltd.) ? Heewon Kim ( Seoul National University) ? Kyoung Mu Lee ( Seoul National University) ? Eirikur Agustsson ( Google) ? Chiu Man Ho ( OPPO) ? Zibo Meng ( OPPO) ? Shuhang Gu ( University of Sydney, OPPO) SPEAKERS (TBA) SPONSORS (TBU) ? OPPO ? Samsung ? MediaTek ? Synaptics ? Huawei ? Raspberry Pi ? CVL / ETH Zurich Website: https://ai-benchmark.com/workshops/mai/2021/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Feb 1 09:05:52 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 1 Feb 2021 16:05:52 +0200 Subject: Connectionists: Last call early registration: Short e-course on Computer Vision and Image Processing, 24-25th February 2021 Message-ID: <033c01d6f8a3$5a30e5c0$0e92b140$@csd.auth.gr> Dear Computer Vision/Image Processing engineers, scientists and enthusiasts, you are welcomed to register in this short e-course on 'Computer Vision and Image Processing', 24-25th February 2021. It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Computer Vision and Image Processing' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A (8 hours) provide an in-depth presentation of Image Processing theory and its application in the above-mentioned diverse domains. First, an Introduction to Image Processing and Computer Vision will be offered to clarify concepts in a precise and mathematical way. Image formation and its issues (e.g., image noise, deformations) will then be detailed, whether based on visible light or on other modalities (e.g., Xrays, Ultrasound). Image sampling will provide the necessary background to understand the potential and limitations of digital images. 2D Signals and Systems will provide the theoretical and algorithmic tools for most image processing operations. Then notions related to Image transforms will be clarified, together with their applications in image/video analysis and compression. Fast 2D convolution algorithms will provide efficient implementation of most image processing operations. Image perception will overview the Human Visual System and its impact on image quality and image processing system design specifications. Finally, Image filtering will provide tools to reduce noise and enhance image quality, e.g., to increase contrast, perform image zooming or printing. Part B (8 hours) provide fan in-depth presentation of both 2D and 3D Computer Vision and Image Analysis theory and their applications in the above-mentioned diverse domains. Edge detection will allow to extract reliable object contours. Region segmentation and Texture description will detail segmentation of an image into homogeneous regions. Either edge or region object descriptions will be employed in 2D object shape analysis. 3D Computer Vision starts with a detailed presentation of image acquisition and camera geometry, including camera calibration. Then, two lectures on a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. Finally, Object tracking is presented, as it is of primary importance (together with object detection presented in the ML DNN e-course) in practically all the above-mentioned Computer Vision applications and way beyond. Course lectures Part A Image Processing (first day, 8 lectures): 1. Introduction to Image Processing and Computer Vision 2. Image Formation 3. Image Sampling 4. 2D Systems 5. Image Transforms 6. Fast 2D Convolution Algorithms 7. Image Perception 8. Image Filtering Part B Computer Vision (second day, 8 lectures): 1. Edge Detection 2. Region Segmentation. Texture Description 3. Shape Description 4. Image Acquisition. Camera Geometry 5. Stereo and Multiview Imaging 6. Structure from Motion 7. 3D Robot Localization and Mapping 8. Object Tracking Though independent, the attendees of this short e-course will greatly benefit by attending the CVML short e-course on 'Machine Learning and Deep Neural Networks' 17-18th February 2021: CVML Short Course - Machine Learning and Deep Neural Networks You can use the following link for course registration: https://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processin g/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabrizio.pastore at uni.lu Mon Feb 1 12:29:25 2021 From: fabrizio.pastore at uni.lu (Fabrizio Pastore) Date: Mon, 1 Feb 2021 18:29:25 +0100 Subject: Connectionists: University of Luxembourg: Research Associate (Postdoc) in Machine Learning and Software Engineering Message-ID: <306f37df-3618-7909-8254-4f0cecd5be6d@uni.lu> Fully fundedResearch Associate (Postdoc) position in Machine Learning and Software Engineering At the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg, we are looking for an excellent PhD holder in the general areas of machine learning and software engineering. This is a fully-funded position for 2 years. It concerns the development of automated techniques to support functional safety practices in autonomous systems. The project research directions include, but are not limited to, the automated generation of inputs to verify DNN-based components, the interpretation and explanation of DNNs, the identification of strategies to retrain DNNs efficiently, the improvement of DNN robustness, adversarial testing. The successful candidate will work with A-Prof. Fabrizio Pastore, Chief Scientist II at SnT, and join the Software Verification and Validation Team lead by Prof. Lionel Briand (www.svv.lu ). We offer ahighly competitive salaryand an exciting international environment. The candidate should possess a PhD degree in Computer Science. For further information:http://emea3.mrted.ly/2mjqo -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Mon Feb 1 10:33:53 2021 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Mon, 1 Feb 2021 15:33:53 +0000 Subject: Connectionists: Funded Ph.D. Studentship in Computational Modelling and Machine Learning in Decision Neuroscience Message-ID: Applications are invited for a funded 3-year Ph.D. studentship in Computational Modelling and Machine Learning in Decision Neuroscience at Ulster University, UK. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/801216 This Ph.D. project aims to develop and apply computational techniques and modelling to understand brain and behavioural data across primate species. Specifically, the project will apply techniques in computational neuroscience, particularly biologically based neural network modelling, to elucidate the mechanisms underlying perceptual decisions abstracted from movements. The project will also use advanced machine learning methods to analyse various types of neural and behavioural data. The Ph.D. project is part of an ambitious externally funded 5-year research project proposes to break new ground by integrating data from multimodal human and non-human primate neurophysiology with computational modelling to gain convergent insights into how and where abstract decision mechanisms take place in the human and monkey brain, and provide an unprecedented, detailed view on the brain?s decision making machinery. The international collaborators are Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), and Prof. Simon Kelly at University College Dublin (Ireland). Some relevant references: (i) O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838?852. doi:10.1016/j.tins.2018.06.005 (ii) Atiya NAA, Ra?? I, Prasad G, Wong-Lin K. A neural circuit model of decision uncertainty and change-of-mind. Nat Commun. 2019;10(1):2287. doi:10.1038/s41467-019-10316-8 (iii) O'Connell RG, Dockree PM, Kelly SP. A supramodal accumulation-to-bound signal that determines perceptual decisions in humans. Nat Neurosci. 2012;15(12):1729?1735. doi:10.1038/nn.3248 This timely and exciting project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment at Magee Campus. The successful Ph.D. candidate will benefit from the expertise of Ulster University?s Cognitive and Computational Neuroscience, Machine Learning, and Computational Biology communities, and will interact closely with international experimental collaborators. The student will gain valuable skills and knowledge in computational and mathematical modelling, biological signal processing, machine learning, high-performance computing, mathematics/statistics, and brain sciences. All applicants should hold a first or upper second class honours degree (or equivalent) in Physics, Mathematics, Computer Science, Engineering, Statistics, Neuroscience, Biology, or a cognate area. Applications will be considered on a competitive basis with regard to the candidate?s qualifications, skills, experience, motivation and interests. Successful candidates will enrol as of 1st August 2021, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. The Ph.D. studentship will comprise fees together with an annual stipend and will be awarded for a period of up to three years subject to satisfactory progress. Additional financial support will be available from the supervisor's research funding for additional specialised training, research meeting and conference attendance, and computational resources. The successful student will be based at the Intelligent Systems Research Centre at Magee campus in Derry~Londonderry, with arguably the largest cluster of computational neuroscientists and neuro-inspired A.I researchers in Ireland. The city was awarded the 2013 UK City of Culture, with affordable living costs. In 2019, Ulster University was ranked 3rd in the UK for research culture and 8th in the UK for overall PhD researcher satisfaction. If you wish to discuss your proposal or receive advice on this project, please contact: Dr. KongFatt Wong-Lin, email: k.wong-lin at ulster.ac.uk . Apply online: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/801216 The closing date for receipt of completed applications is 8th March 2021. Interviews will be held on 25th March 2021, and the starting date is on 1st August 2021. ------------------- Dr. KongFatt Wong-Lin Reader Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Ulster University, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From L.L.Minku at cs.bham.ac.uk Mon Feb 1 17:55:02 2021 From: L.L.Minku at cs.bham.ac.uk (Leandro Minku) Date: Mon, 01 Feb 2021 22:55:02 +0000 Subject: Connectionists: CFP: QUATIC'2021 Theme Track: Quality Aspects in Machine Learning, AI and Data Analytics Message-ID: <8ec2ad4a28ee5c395ebd632245d6a93d@cs.bham.ac.uk> About: Machine learning, AI and data analytics have become a major force of research progress in data mining and innovation across enterprises of all sizes. A lot of new platforms with increasingly more features for managing datasets have been proposed in recent years. Given that the datasets are frequently big, data mining is also related to the management of cloud and modern HPC clusters. Quality assurance in machine learning, AI and data analytics is an important research and engineering challenge in today's data intensive computing. It can be directly related to the quality of data - quality of data generators, privacy, statistical considerations, etc. Given the whole ecosystem surrounding the application of such approaches, quality assurance can also relate to many other aspects, such as the quality of the software implementing the approaches, of the services providing the approaches, of the management of data-intensive computing systems running the approaches, of the relevant resource and data management tools, of the handling of ethical concerns surrounding the use of the approaches, etc. From the machine learning model's point of view, the quality aspects also include model robustness (e.g. generalization, model architecture, resilience to noise), controllability, explainability, and so on. Topics of interest: Papers on this track can explore any topics related to quality in machine learning, AI and data analytics. These include, but not limited to: - Quality in data science - Quality in deep learning - Quality in business intelligence - Quality in evolutionary algorithms - Quality in fuzzy systems - Quality in distributed machine learning systems - Data quality in distributed and streaming analytics - Algorithms for detecting concept drifts / changes in the underlying distribution of incoming data - Algorithms and approaches for detecting outliers, duplicated data, and inconsistent data - Efficiency versus accuracy trade-off - Data governance - Big data quality management - Big data quality metrics - Big data management across distributed databases and datacentres - Big data persistence and preservation - Big data quality in cloud systems - Testing of machine learning and AI software systems - Automated software testing - Algorithms and approaches for data healing or system fault healing - Procedures for evaluating data models - Handling of ethical aspects in data analytics Important dates: Full paper submission: April 10th, 2021 Notification for full papers: May 7th, 2021 Camera-ready (full papers): May 31st, 2021 Conference website: https://2021.quatic.org/calls/call-for-papers Publication: QUATIC'2021 proceedings to be published in a volume of the Springer CCIS Series (Communications in Computer and Information Science). CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. CCIS volumes are also submitted for inclusion in the ISI Proceedings. The organizers are presently negotiating a journal special issue for extended versions of the best papers. In 2020 and 2019 there were associated special issues with the Software Quality Journal. Theme chair: Dr. Shuo Wang, University of Birmingham, UK (s.wang.2 at bham.ac.uk) From Albrecht_Zimmermann at gmx.net Mon Feb 1 12:29:14 2021 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 1 Feb 2021 18:29:14 +0100 Subject: Connectionists: SDM/IBM EARLY CAREER DATA MINING RESEARCHER AWARD Message-ID: SDM/IBM EARLY CAREER DATA MINING RESEARCHER AWARD ? About the Award:?The SDM/IBM Early Career Data Mining Researcher Award for Excellence in Data Analytics seeks to recognize one individual (no runner up/ honorable mention) who has made outstanding and influential contributions in the field of data analysis and who will be within 10 years of having received their PhD degree as of the calendar year prior to the year of the award. For example, an award winner in 2020 should have received their PhD no earlier than 2009. An award winner in 2021 should have received their PhD no earlier than 2010. Since SDM 2020 was deferred due to the pandemic, this year we are accepting nominations for both 2020 and 2021. Applications for 2020 should include achievements (publications, etc.) dated no later than March 30, 2020. Nominations: A candidate may be nominated by any member of the community except members of the Award Selection Committee. An individual may nominate at most one candidate for this award in a specific year. In this competition, an individual may nominate at most one candidate for 2020 and at most one candidate for 2021. One candidate can be nominated for both 2020 and 2021 as long as the candidate is eligible for both years. Nominations must be submitted to the Award Selection Committee Co-Chairs by email at jpei at cs.sfu.ca and chawsanj at gmail.com with ?SDM/IBM Research Award [2020 or 2021]? as the subject.?Please send one nomination per email and specify whether the nomination is for year 2020 or 2021 in the subject of the email. A nomination application (a single PDF file) should contain the following: 1 Name/email of nominator (self-nominations are not permitted). 2 Name/email of candidate being nominated. 3 A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award. Note that since the award is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding, significant, and influential. The nomination should also list the names and email addresses of up to 3 persons who will provide letters supporting the nomination. 4 CV of the nominee (the CV must clearly indicate date of degree received) 5 Up to three support letters. The letters should be collected by the nominator and included in the nomination. The letter writers may not be the nominator nor Award Selection Committee members. Important Dates: - Nomination Deadline:?????March 12, 2021 - Results Notification:????????April 15, 2021 ? Award Selection Committee:? Sanjay Chawla, Qatar Computing Research Institute (Co-Chair) Jian Pei, Simon Fraser University (Co-Chair) Zoran Obradovic, Temple University (Steering Committee Representative) Members: TBD Note that members of the selection committee cannot be nominators or provide support letters. Also note that the intent is to select exactly one awardee (one for 2020 and one for 2021) ? re-nominations for subsequent years are permissible as long as the individuals continue to maintain eligibility. The committee at its discretion may elect not to make an award in a particular year. From gaute.einevoll at nmbu.no Mon Feb 1 13:39:26 2021 From: gaute.einevoll at nmbu.no (Gaute Einevoll) Date: Mon, 1 Feb 2021 18:39:26 +0000 Subject: Connectionists: PhD-positions in computational neuroscience at the University of Oslo as part of CompSci grant in EU Horizon 2020 Message-ID: CompSci is a Doctoral Programme launched and managed by the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). It is partly funded by the EU Horizon 2020 under the Marie Sk?odowska-Curie Action (MSCA) - Co-funding of Regional, National and International Programmes (COFUND). The CompSci Doctoral Program will recruit 32 PhDs in two calls. In this Call, we open for applications to the 1st cohort of 16 PhD fellowship positions, that will join our PhD programme starting autumn 2021 at UiO. The possible PhD-projects span over a wide range of topics where methods from computational science are applied to different fields in the natural sciences: https://www.mn.uio.no/compsci/english/projects/ Four of the possible projects in Call 1 are within computational neuroscience: * Bio-inspired neural networks for navigation Supervisors: Anders Malthe-S?renssen, Gaute T. Einevoll * Large-scale recordings of neurons to reveal mechanisms of learning and memory Supervisors: Marianne Fyhn, Anders Malthe-S?renssen * Large-scale network simulations of mouse visual cortex Supervisors: Gaute T. Einevoll, Marianne Fyhn * Modelling systems levels changes in brain aging induced by genome instability Supervisors: Hilde Nilsen, Gaute T. Einevoll For information about how to apply, see https://www.jobbnorge.no/en/available-jobs/job/193610/compsci-call-1-marie-sklodowska-curie-phd-fellowships-in-natural-sciences-16-positions . The extended application deadline for Call 1 is: March 1st 2021 Questions about the individual projects should be sent to the supervisors listed above. ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway mobile: +47-95124536 email: Gaute.Einevoll at nmbu.no, web: www.nmbu.no/ans/gaute.einevoll, cinpla.org twitter: https://twitter.com/gauteeinevoll podcast: https://vettogvitenskap.no podcast (English only): https://vettogvitenskap.no/senseandscience -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Mon Feb 1 16:47:42 2021 From: mtista at gmail.com (Massimo Tistarelli) Date: Mon, 1 Feb 2021 22:47:42 +0100 Subject: Connectionists: ONLY 2 WEEKS LEFT: Call for Applications - 18th Int.l Summer School on Biometrics 2021 Message-ID: <0dcd1ca3-6062-d5d5-8695-f236a72fec05@gmail.com> ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? ** * * *18^th Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* * * ***BIOMETRICS FOR AI / AI FOR BIOMETRICS* * * *Alghero, Italy? ?? May 31 - June 4 2021* http://biometrics.uniss.it *** * ** To face the expected travel limitations due to the Covid-19 outbreak, the school is planned as a mixed virtual event, allowing participation both in person and remotely with videoconference facilities *Contact:*tista at uniss.it * * *** * *Application deadline: FEBRUARY 15**^th 2021 *(download the application form at: http://biometrics.uniss.it ) From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?. For the last eighteen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? What can we learn from human perception? How to deploy current Deep Learning approaches? How to deal with /adversarial attacks/ in biometric recognition? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 18^th edition, the courses will mainly focus on new and emerging issues: ?*The impact of AI in Biometrics and Biometrics in AI;* ?*How to make ?Deep Biometrics? systems /explainable/;* ?*Biometrics for social interactions and emerging applications;* ?*How to exploit new biometric technologies in forensic and security applications.* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by, at least, 18 outstanding experts in the field, from both academia and industry. An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies. Participant application The school is open to about 70 highly qualified, motivated and pre-selected participants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The school fees will be in the order of 1.600 euro (400 euro in videoconference) for Phd students and 2.200 euro (800 euro in videoconference) for others. The fees will include all live courses and handling material. A number of scholarships, covering the fees, will be awarded to Phd students, selected on the basis of their scientific background and on-going research work. The scholarship request form can be downloaded from the school web site HERE . Phd students and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards (physical and virtual) will be also available to all participants to display their current research or professional advances. Send a filled application form (download from http://biometrics.uniss.it )//together with a short curriculum vitae to:** *Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com* * Submission of applications: February 15th, 2021 * Notification of acceptance: March 20th, 2021 * Registration: April 25th, 2021 *_Advance pre-registration is strictly required by February 15^th _**_2021_* *School location* The school lectures will be delivered as a *mixed mode event*, allowing both physical (if the medical advice at the time of the school will allow it in full security) and remote attendance with videoconferencing facilities. * For participants attending in videoconference, live lectures will be delivered online with full sharing of the lecturing material and allowing live interaction with the participants. Private and group meetings with each lecturer will be organised to deepen the discussion started in the class. * Ad-hoc teleconferencing and communication tools will be also set up for practical hands-on sessions and to allow a good engagement of the participants and the lecturers. * Open sessions will be organised with questions and answers moderated by the leading experts in the field. The organisers and all lecturers are fully committed to make this year's school as successful, instructing and inspiring as in the past years. The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *School Committee:* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratory ? Michigan State University, USA *Distinguished lecturers from past school editions* *Josef **Bigun* Halmstad University ? Sweden *David Meuwly* Netherlands Forensic Institute ? NL *Thirimachos Bourlai* West Virginia University ? USA *Emilio Mordini MD* Responsible Technologies ? Italy *Vincent Bouatou* Safran Morpho ? France *Mark Nixon* University of Southampton ? UK *Kevin Bowyer * University of Notre Dame ? USA *Alice O?Toole* University of Texas ? USA *Deepak Chandra * Google Inc. ? USA *Maja Pantic* Imperial College ? UK *Rama Chellappa* University of Maryland ? USA *Johnathon Phillips* NIST ? USA *John Daugman* University of Cambridge ? UK *Tomaso Poggio* MIT ? USA *Farzin Deravi* University of Kent ? UK *Nalini Ratha* IBM ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA** *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA *Aldo Mattei* Arma dei Carabinieri ? Italy *Lior Wolf* Tel Aviv University ? Israel *__* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Summer School 2021 Announcement.pdf Type: application/pdf Size: 382248 bytes Desc: not available URL: From jiangdm at nwpu.edu.cn Mon Feb 1 21:43:40 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Tue, 2 Feb 2021 10:43:40 +0800 (GMT+08:00) Subject: Connectionists: FINAL ACM ICMI 2021 Call for Workshops Message-ID: <5fad052c.66d4.177609fc821.Coremail.jiangdm@nwpu.edu.cn> *********************************************************************************** ACM ICMI 2021: Call for Workshops https://icmi.acm.org/2021/index.php?id=CfW *********************************************************************************** The ACM International Conference on Multimodal Interaction (ACM ICMI 2021) will be held in in Montreal, Canada, October 18-22nd, 2021. ACM ICMI is the premier international conference for multidisciplinary research on multimodal human-human and human-computer interaction analysis, interface design, and system development. ACM ICMI has developed a tradition of hosting workshops in conjunction with the main conference to foster discourse on new research, technologies, social science models and applications. Examples of recent workshops include: - Media Analytics for Societal Trends - Neuromanagement and Intelligent Computing - Multi-sensorial Approaches to Human-Food Interaction - Multimodal e-Coaches - Group Interaction Frontiers in Technology - Modeling Cognitive Processes from Multimodal Data - Human-Habitat for Health - Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction - Investigating Social Interactions with Artificial Agents - Child Computer Interaction - Insights on Group & Team Dynamics - Multimodal Interaction for Education We are seeking workshop proposals on emerging research areas related to the main conference topics, and those that focus on multi-disciplinary research. We would also strongly encourage workshops that will include a diverse set of keynote speakers (factors to consider include: gender, ethnic background, institutions, years of experience, geography, etc.). The content of accepted workshops are under the control of the workshop organizers. Workshops may be of a half-day or one day in duration. Workshop organizers will be expected to manage the workshop content, solicit submissions, be present to moderate the discussion and panels, invite experts in the domain, conduct the reviewing process, and maintain a website for the workshop. Workshop papers will be indexed by ACM Digital Library in an adjunct proceedings, and a short workshop summary by the organizers will be published in the main conference proceedings. Submission Prospective workshop organizers are invited to submit proposals in PDF format (Max. 3 pages). Please email proposals to the workshop chairs: Akane Sano and Emily Mower Provost (icmi2021-workshop-chairs at acm.org) The proposal should include the following: - Workshop title - List of organizers including affiliation, email address, and short biographies - Workshop motivation, expected outcomes and impact - Tentative list of keynote speakers - Workshop format (by invitation only, call for papers, etc.), anticipated number of talks/posters, workshop duration (half-day or full-day) including tentative program - Planned advertisement means, website hosting, and estimated participation - Paper review procedure (single/double-blind, internal/external, solicited/invited-only, pool of reviewers, etc.) - Paper submission and acceptance deadlines - Special space and equipment requests, if any Important Dates: Workshop proposal submission: Monday, February 8, 2021 Notification of acceptance: Monday, February 22, 2021 Workshop papers due: End of July, 2021 (suggested) Workshop Date: October 18-22, 2021 ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe.cfp at gmail.com Tue Feb 2 07:16:28 2021 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Tue, 2 Feb 2021 13:16:28 +0100 Subject: Connectionists: [pco] LAST CFP: 11th IEEE Workshop on Parallel / Distributed Combinatorics and Optimization (PDCO 2021) in conjunction with symposium IEEE IPDPS Portland Message-ID: <25B8846E-29AB-42D7-AE5A-C8AA346F2C4C@gmail.com> Please, accept our apologies in case of multiple copies of this CFP. *************************************************************************** The 11th IEEE Workshop on Parallel / Distributed Combinatorics and Optimization (PDCO 2021) held in conjunction with the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS'2021) May 17-21, 2021 Portland, USA http://www.ipdps.org *************************************************************************** Scope: ====== The IEEE Workshop on Parallel / Distributed Combinatorics and Optimization aims at providing a forum for scientific researchers and engineers on recent advances in the field of parallel or distributed combinatorics for difficult optimization problems, ranging from theoretical to applied problems. The latter include for instance 0-1 multidimensional knapsack problems and cutting stock problems, large scale linear programming problems, nonlinear optimization problems, global optimization and scheduling problems. Emphasis will be placed on new techniques for solving difficult optimization problems, like cooperative methods for integer programming problems, nature- inspired techniques and hybrid methods. Aspects related to Combinatorial Scientific Computing (CSC) will also be treated. We also solicit submissions of original manuscripts on sparse matrix computations and related topics (including graph algorithms); and related methods and tools for their efficiency on different parallel systems. Applications combining traditional parallel and distributed combinatorics and optimization techniques as well as theoretical issues (convergence, complexity, etc.) are welcome. Domains of interest include (but are not limited to) cloud computing, planning, logistics, manufacturing, finance, telecommunications and computational biology. Topics: ======= * Exact methods, heuristics, metaheuristics, hybrid methods; * Parallel / distributed algorithms for combinatorial optimization; * Parallel / distributed metaheuristics; * Nature inspired parallel / distributed computing; * Integer programming, linear programming, nonlinear programming; * Global optimization, polynomial optimization; * Cooperative methods, hybrid methods; * Parallel sparse matrix computations, graph algorithms, load balancing; * Applications: cloud computing, planning, logistics, manufacturing, finance, telecommunications, computational biology, combinatorial algorithms in high performance computing. Steering Committee: =================== Pascal Bouvry, University of Luxembourg, Luxembourg (co-chair) Didier El Baz, team CDA, LAAS-CNRS, France (co-chair) El-Ghazali Talbi, University of Lille, INRIA, CNRS, France Albert Y. Zomaya, The University of Sydney, Australia General Chairs: =============== Gr?goire Danoy, University of Luxembourg, Luxembourg Didier El Baz, team CDA, LAAS-CNRS, France Program Chairs: =============== Vincent Boyer, University of Nuevo Leon, Mexico Bernabe Dorronsoro, Universidad de C?diz, Spain Publicity Chairs: ================= Keqin Li, State University of New York at New Paltz, USA Laurence T. Yang, St Francis Xavier University, Canada Program Committee (to be completed): ==================================== A. Bendjoudi, CERIST, Algiers, Algeria J.-N. Cao, Hong-Kong Polytechnic University, China J. J. Durillo, Leibniz Supercomputer Center, Munich, Germany S. Fujita, Hiroshima University, Japan M. Halappanavar, Pacific Northwest National Laboratory, USA K. Li, State University of New York, USA N. Melab, University of Lille, France M. Menai, King Saud University, Saudi Arabia A. Nakib, University Paris 12, France S. Nesmachnow, Universidad de la Rep?blica, Uruguay S. Nikoletseas, University of Patras and CTI, Greece C. Phillips, Sandia National Laboratories, USA T. Saadi, University of Picardie, France M. Seredynski, Luxembourg Institute of Science and Technology, Luxembourg G. Ch. Sirakoulis, Democritus University of Thrace, Greece G. Spezzano, University of Calabria, Italy A. Tchernykh, CICESE Research Center, Mexico S. Varrette, University of Luxembourg, Luxembourg F. Xhafa, Polytechnic University of Catalonia, Spain L.T. Yang, St Francis Xavier University, Canada Submission : ============ Papers in the Proceedings of the workshops will be indexed in the IEEE Xplore Digital Library after the conference. Prospective authors should submit their papers through Workshop PDCO 2021 submission system: https://ssl.linklings.net/conferences/ipdps/?page=Submit&id=PDCOWorkshopFullSubmission&site=ipdps2021 Abstract and paper can be uploaded until January 31, 2021. Authors should preferably follow the manuscript specifications of IEEE IPDPS, i.e. submitted manuscripts may not exceed 10 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables and references. Style templates are available on IPDPS website. Special Issue: ============ Selected papers from PDCO 2021 will be invited to submit an extended version to a special issue of an international high-quality journal. Detailed information will soon be announced and will be made available on the conference website. Important Dates: ================ - Extended submission deadline: February 15, 2021 - Decision notification: March 1, 2021 - Camera-Ready papers due: March 15, 2021 - Workshop: May 17, 2021 Contact: ======== For questions regarding the Workshop, please contact the conference organizers at pdco2021 at sciencesconf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomislav.milekovic at epfl.ch Tue Feb 2 06:46:13 2021 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Tue, 2 Feb 2021 11:46:13 +0000 Subject: Connectionists: PhD student position in neuroengineering at EPFL (Lausanne, Switzerland) Message-ID: <940164a512bb4f04b1fc114958a883f3@epfl.ch> PhD student position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) A computational approach to personalize and optimize clinical treatments for people with chronic hemodynamic instability caused by neurological disorders Location The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded PhD position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. PhD salaries at EPFL rank the highest in the world. Opportunity The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL?s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Project Description Neurological disorders that disrupt the communication between the brain and the spinal cord can induce inability to adequately regulate blood pressure. This hemodynamic instability threatens survival, increases cardiovascular disease risk, and reduces quality of life. Such hemodynamic instability results from the interruption of supraspinal efferent commands to sympathetic circuits located in the spinal cord, which prevents the natural baroreflex from controlling these circuits to adjust peripheral vascular resistance. We previously showed that epidural electrical stimulation (EES) of the spinal cord can compensate for interrupted supraspinal commands to motor circuits below injury, which restored walking after paralysis. We also leveraged these concepts to develop EES protocols that restore hemodynamic stability after spinal cord injury. Nonetheless, other neurological disorders, such as Parkinson?s disease, also induce hemodynamic instability. Effective clinical solutions for these patients are not yet available. The successful candidate will work to develop and implement an EES therapy to alleviate hemodynamic instability in people with Parkinson?s disease. They will use develop approaches to initialize stimulation protocols for this therapy and engineer algorithms that will automatize this process. They will develop computational techniques to identify optimal spinal cord stimulation locations and devise physiological experiments to guide the surgeons when implanting the spinal leads to target those optimal locations. They will develop software that wile automatize these pre-operative panning and intra-operative assistance procedures. They will assist with organizing a clinical trial of their therapeutic concept and analyze the physiological and behavioral data acquired during the trial. On all of these tasks, the successful candidate will benefit from our solutions and experiences from developing spinal cord injury treatments. Requirements * Master?s Degree in Physics, Computer Science, Microengineering, Engineering or related * Proficiency in Matlab or Python * Proficiency in and some programming language (e.g. C++, C#, Java) * Experience with analysis of data * Good written and verbal skills in English Contact Applications including a CV and a cover letter describing your background and interest should be sent to PDHEMO.Courtine at gmail.com. Informal inquiries are welcome and should be sent to tomislav.milekovic at epfl.ch. -------------- next part -------------- An HTML attachment was scrubbed... URL: From perusquia at ieee.org Tue Feb 2 20:25:36 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Wed, 3 Feb 2021 10:25:36 +0900 Subject: Connectionists: ACII2021 - Call for Doctoral Consortium Participation Message-ID: ACII2021 - Call for Doctoral Consortium Participation Affective Computing aims at the study and development of systems and devices that use emotion, in particular in human computer and human robot interaction. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. At the biennial gathering of the Association for the Advancement Of Affective Computing?s (AAAC) Affective Computing and Intelligent Interaction Conference (ACII 2021), the Doctoral Consortium (DC) will serve as a forum for PhD students to share ideas about their research, developments, and applications in the area of affective computing. The goal is to provide PhD students with an opportunity to present their work to a group of mentors and peers from an international community, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in affective computing. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of affective computing to apply for participation in the ACII 2021 DC. Who should apply? Students from any PhD granting institution whose research falls within the area of affective computing are encouraged to apply. Whereas we encourage applications from students at any stage of doctoral training, the DC will most benefit students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research proposal, and will not be very close to completing their dissertation research. Submissions guidelines PhD students in an area related to affective computing are invited to submit the following materials: 1. Extended Abstract (4 pages + 1 page for references): A description of the PhD research plan and progress. The submissions should not be anonymous. In particular, it should cover: - The key research questions and motivation of the research, - Background and related work that informs the research, - A statement of hypotheses or a description of the scope of the technical problem, - The methodology to achieve the objectives and the proposed solution(s), - A description of the work done so far and a tentative plan for future work, - A statement of research contributions to date (if any) and expected contributions of the PhD work to affective computing, - Reference list. 2. CV: A curriculum vitae of the student. 3. Authorship and Statement from Advisor: Students are expected to be the sole authors on their submission. The application needs to be accompanied by a note from their PhD advisor confirming student status and endorsement of the submission. The note should clearly indicate the student?s progress in the PhD program (e.g., qualifiers passed; pre-proposal stage, and so on). The advisor can simply email the note to the DC chairs (see below for contact information). Submission topics, instructions, and proceedings Paper topics should be related to the conference topics, which are given in the general call for papers (see http://acii-conf.org/2021/). The Proceedings of the Doctoral Consortium will be published as part of the main Conference Proceedings. Papers should be submitted through the conference submission system. Review process The Doctoral Consortium submissions will be evaluated on a number of factors including: (1) the quality of the submission, (2) the expected benefits of the DC towards the student?s PhD research, and (3) the student?s contribution to the diversity of topics, backgrounds, and institutions, in order of importance. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of affective computing and its impact on the field and beyond. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in the ACII 2021 Doctoral Consortium cohort. Attendance All authors of accepted submissions are expected to register, attend the virtual conference and present their work at the Doctoral Consortium. They will also have to identify a mentor (from a list provided by the chairs) and schedule an one-to-one online meeting with the mentor during the conference. Information about this process will be provided in due course. Important Dates - Submission deadline: May 25, 2021 - Acceptance notifications: June 30, 2021 - Camera-ready deadline: July 26, 2021 Doctoral Consortium Contacts For questions and comments, please contact the Doctoral Consortium co-chairs: Grace Ngai and Tanaya Guha. -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Tue Feb 2 18:22:33 2021 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 2 Feb 2021 23:22:33 +0000 Subject: Connectionists: Scientist position at the Allen Institute: Functional Roles of Transcriptomically Defined Cell Types Message-ID: <7D6D55CE-D348-40BF-BF45-26C0A9E5F190@alleninstitute.org> A new exciting opportunity is open at the Allen Institute (Seattle, WA): Scientist I ? Functional Roles of Transcriptomically Defined Cell Types https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1500542 The scientist will join a new collaborative project at the Allen Institute, co-lead by Drs. Anton Arkhipov and Saskia de Vries. The position reports to Dr. Arkhipov. In this project, we perform calcium imaging of neural activity in the visual cortex of awake mice, followed by in situ characterization of the genes expressed in these neurons. The Scientist will carry out computational analyses to study the relationships between the transcriptomic cell types and the types of functional visual responses. This is a highly challenging, uncharted area of data analysis. We are looking for an excellent computational scientist who will advance the knowledge and analysis methods at this cutting edge of science. Join us to investigate one of the most fundamental questions in neuroscience ? how the transcriptomic cell types are related to the types of functional neuronal responses in vivo! See details and apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1500542 Anton Arkhipov Associate Investigator T: 206.548.8414 [cidimage001.png at 01D5B043.A5662590] www.alleninstitute.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 7549 bytes Desc: image001.png URL: From habesm at gmail.com Tue Feb 2 15:36:56 2021 From: habesm at gmail.com (Mohamad Habes) Date: Tue, 2 Feb 2021 14:36:56 -0600 Subject: Connectionists: Postdoctoral Fellow (University of Texas Health San Antonio) Message-ID: Are you excited about deep learning and transfer learning? Do you want to apply and develop deep learning methods to high dimensional neuroimaging data and make new discoveries which could advance our understanding of Alzheimer?s disease? We are looking for a postdoctoral fellow who is willing to research more deep and transfer learning methods in large cohort based studies. Alzheimer?s disease and other dementias are heterogeneous conditions, which makes differentiating between them and their subtypes very challenging. Our goal is to use neuroimaging data and deep learning to help uncover and detect specific pathologies and patterns emerging in early Alzheimer?s disease. In this position your challenge will be to develop new deep learning architectures and algorithms that allow current pathology detection and prediction of possible future disease trajectories. Your work environment will be the Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC). We build advanced neuroimage analytical techniques to derive discovery. Data-driven approaches are of special interest in our lab, as machine learning and machine intelligence will guide the scientist towards the finding. On broader goal, our tools help delivering precise diagnostics on an individual?s level and ultimately could guide treatment progress. We are part of the Biggs Institute (https://biggsinstitute.org), which is being established as a flagship, free-standing institute within University of Texas Health San Antonio (UTHSA), with the mission of establishing an interdisciplinary, integrated program to provide comprehensive clinical care and undertake innovative and important research into the prevention and treatment of Alzheimer?s Disease and other neurodegenerative conditions, including vascular contributions to dementia, Parkinson?s disease and frontotemporal dementia. It has strong institutional and community support and will benefit from existing resources within UTHSA such as the Barshop Institute for Longevity and Aging Studies, the Center for Biomedical Neuroscience, the School of Nursing, the Cancer Center, and the Research Imaging Institute along with the San Antonio campus of the UT Health Houston School of Public Health. *Responsibilities* ? Develop, test and validate novel architectures and algorithms for deep (transfer) learning with neuroimaging data ? Apply your validated methods to large scale research and real life everyday clinical routine neuroimaging data ? Willingness to work in teams, within NAL, BINC and Biggs and with national and international collaborators ? Communicate your research results to the larger communities through publications in international conferences and journals ? Work with great deal of independence in achieving research goals *Requirements* ? A PhD degree in Artificial Intelligence, Machine Learning, Computer Vision or Medical Image Analytics with solid experience in deep learning; Experience in Neuroimaging and Dementia Research is a plus. ? Great eagerness to solve scientific problems ? Strong programming skills, e.g. in Python, R, C++ and Java. Experience with Python deep learning toolboxes and high-performance computational facilities could be a plus; ? Excellent record of publishing in relevant high-quality journals in the above fields ? Excellent communication abilities in English; spoken and written. If interested, please send a copy of your CV to Dr. Habes (habes at uthscsa.edu ) ---- Mohamad Habes, Ph.D. Assistant Professor, Departments of Radiology and Epidemiology Director, Neuroimage Analytics Laboratory (NAL) Director, Biggs Institute Neuroimaging Core (BINC) Glenn Biggs Institute for Alzheimer?s & Neurodegenerative Diseases Director, Biomedical Image Analytics Division (BIAD) Research Imaging Institute University of Texas Health Science Center San Antonio (UTHSCSA) 7703 Floyd Curl Drive, San Antonio, Texas 78229 (Phone) +1 210-450-8416 (Email) habes at uthscsa.edu Adjunct Assistant Professor, Department of Radiology University of Pennsylvania 3700 Hamilton Walk, Philadelphia, Pennsylvania 19104 (Email) habesm at upenn.edu -------------- next part -------------- An HTML attachment was scrubbed... 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Name: Postdoc_2021_BINC_NAL.pdf Type: application/pdf Size: 92490 bytes Desc: not available URL: From terry at salk.edu Tue Feb 2 18:54:24 2021 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 02 Feb 2021 15:54:24 -0800 Subject: Connectionists: NEURAL COMPUTATION - February 1, 2021 In-Reply-To: Message-ID: Neural Computation - Volume 33, Number 2 - February 1, 2021 available online for download now: http://www.mitpressjournals.org/toc/neco/33/2 http://cognet.mit.edu/content/neural-computation ----- Article Learning in Volatile Environments With the Bayes Factor Surprise Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, and Johanni Brea Letters Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals William Harold Nesse, Leonard Maler, and Andre Longtin Predicting the Ease of Human Category Learning Using Radial Basis Function Networks Brett David Roads, Michael C Mozer Deeply Felt Affect: The Emergence of Valence in Deep Active Inference Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl Friston, and Maxwell Ramstead Whence the Expected Free Energy? Beren Millidge, Alexander Tschantz, and Christopher L Buckley Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes Asieh Abolpour Mofrad, Anis Yazidi, Samaneh Abolpour Mofrad, Hugo Lewi Hammer, and Erik Arntzen A Novel Neural Model With Lateral Interaction for Learning Tasks Dequan Jin, Ziyan Qin, Murong Yang, and Penghe Chen Stability Conditions of Bicomplex-Valued Hopfield Neural Networks Masaki Kobayashi ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From yuliasid at ucm.es Wed Feb 3 02:12:26 2021 From: yuliasid at ucm.es (YULIA SIDOROVA) Date: Wed, 3 Feb 2021 10:12:26 +0300 Subject: Connectionists: CFP ECML PKDD 2021 Message-ID: **Our apologies if you receive multiple copies of this CFP** *CALL FOR PAPERS* for the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain. https://2021.ecmlpkdd.org/ *SCOPE AND MOTIVATION* This event is the premier European machine learning and data mining conference. Theoretical and applied contributions on all topics related to machine learning, knowledge discovery and data mining are invited. *IMPORTANT DATES* -Abstract submission deadline: March 26th 2021 -Paper Submission Deadline: April 2nd, 2021 -Author notification: June 18th, 2021 -Conference: 13-17 September 2021 For more information on submitting a paper to Research or Applied Data Science Track of ECML PKDD 2021 please visit https://2021.ecmlpkdd.org/?page_id=1599 Other events at ECML PKDD: -journal track https://2021.ecmlpkdd.org/?page_id=1341 -PhD forum https://2021.ecmlpkdd.org/?page_id=1591 -discovery challenge https://2021.ecmlpkdd.org/?page_id=1610 -tutorials and workshops https://2021.ecmlpkdd.org/?page_id=1603 *ORGANIZING COMMITTEE* Jose A. Lozano, Basque Center for Applied Mathematics, Spain Nuria Oliver, Vodafone and Data-Pop Alliance, UK Fernando Perez-Cruz, Swiss Data Science Center, Switzerland Stefan Kramer, Johannes Gutenberg Universitat Mainz, Germany Jeese Read, Ecole Polytechnique, France Yuxiao Dong, Facebook AI, Seattle Nicolas Kourtellis, Telefonica Research, Barcelona, Spain Barbara Hammer, Bielefeld University, Germany Sergio Escalera, Universitat de Barcelona, Spain Heike Tratmaun, Universitat Munster, Germany Annalisa Appice, Universita degli Studi di Bari, Italy Jose A. Gamez, Universidad de Castilla-La Mancha, Spain Inaki Inza, University of the Basque Country, Spain Alexander Mendiburu, University of the Basque Country, Spain Santiago Mazuelas, Basque Center for Applied Mathematics, Spain Aritz Perez, Basque Center for Applied Mathematics, Spain Sophie Burkhardt, Johannes Gutenberg Universitat Mainz, Germany Julia Sidorova, Universidad Complutense de Madrid, Spain Alipio Jorge, University of Porto, Portugal Yun Sing Koh, University of Auckland, New Zealand Tania Cerquitelli, Politecnico di Torino, Italy Jeronimo Hernandez, Spanish National Research Council, Spain Zahra Ahmadi, Johannes Gutenberg Universitat Mainz, Germany Paula Brito, Universidade do Porto, Portugal Dino Ienco, Univ. Montpellier, France We look forward to welcoming you in Bilbao. -------------- next part -------------- An HTML attachment was scrubbed... URL: From domenico.maisto at icar.cnr.it Wed Feb 3 05:05:12 2021 From: domenico.maisto at icar.cnr.it (Domenico Maisto) Date: Wed, 3 Feb 2021 11:05:12 +0100 Subject: Connectionists: CfP: Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making - Entropy MDPI Message-ID: Dear Colleagues, You are cordially invited to submit a manuscript to the Entropy Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference Deadline for manuscript submissions: 21 March 2021. Please find further information below. With best regards, Domenico Maisto ================================================================ Open Access Journal ENTROPY by MDPI Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making ----------------------------------------------------------------------------------------------------------------- This Special Issue aims to focus on recent advances in probabilistic inference in goal-directed human and animal decision making, and we welcome submissions that: - Shed light on the computations of neuronal circuits involved in goal-directed decision making, with a focus on the inferential mechanisms involved; - Propose novel probabilistic models and methods in decision making including (but not limited to) information-theory approaches, statistical and free- energy minimization, hierarchical models, and deep networks; - Introduce decision-making applications in ethological, social, psychological, psychiatric, robotics, and computer science research. Guest Editors Dr. Francesco Donnarumma Dr. Domenico Maisto Dr. Ivilin Stoianov Entropy is an Open Access Journal by MDPI with high visibility (indexed within Scopus, SCIE (Web of Science), MathSciNet, Inspec, PubMed, PMC, and many other databases), excellent citescore (IF: 2.494; 2019 Scopus data: 3.7, which equals rank 8/62 (Q1) in 'Mathematical Physics', 14/54 (Q2) in 'Physics and Astronomy', 210/670 (Q2) in 'Electrical and Electronic Engineering', and 104/300 (Q2) in 'Information Systems?), and rapid publication. -- Domenico Maisto, PhD Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR) Via Pietro Castellino 111, 80131, Napoli Italy Phone: +39 0644595208 (Rome), +39 0816139507 (Naples) Fax: +39 0644595243 (Rome), +39 0816139531 (Naples) e-mail: domenico.maisto at icar.cnr.it From ioannakoroni at csd.auth.gr Wed Feb 3 08:03:24 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 3 Feb 2021 15:03:24 +0200 Subject: Connectionists: =?utf-8?q?Live_e-lecture_by_Prof=2E_Efstratios_Ga?= =?utf-8?q?vves=3A_=E2=80=98The_Machine_Learning_of_Time=3A_Past_an?= =?utf-8?q?d_Future=E2=80=99=2C_9th_February_2021_17=3A00-18=3A00_C?= =?utf-8?q?ET=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <01bd01d6f898$ea97c260$bfc74720$@csd.auth.gr> <00c501d6f89e$c188d660$449a8320$@csd.auth.gr> Message-ID: <01f901d6fa2c$f5768aa0$e0639fe0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Efstratios Gavves (University of Amsterdam, Netherlands), a prominent young AI researcher internationally, will deliver the e-lecture: ?The Machine Learning of Time: Past and Future?, on Tuesday 9th February 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/93863728654 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media and Vision and Humane AI Net currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Pietro Perona, ?Measuring algorithmic bias in face analysis ? towards an experimental approach?, 23rd February 2021 17:00 ? 18:00 CET. 2. Prof. Bj?rn Schuller: ?There will be Artificial Emotional Intelligence?, 9th March 2021 17:00 ? 18:00 CET 3. Prof. Andreas Geiger, ?Towards Robust End-to-End Driving?, 23rd March 2021 17:00 ? 18:00 CET More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the CVML email list. Best regards Profs. I. Pitas, N. Sebe, B. O?Sullivan, M. Chetouani AIDA AI Excellence lecture series committee -- 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 kordjams at msu.edu Wed Feb 3 19:12:07 2021 From: kordjams at msu.edu (Kordjamshidi, Parisa) Date: Thu, 4 Feb 2021 00:12:07 +0000 Subject: Connectionists: [CFP] Workshop on Spatial Language Understanding and Grounded Communication for Robotics @ACL-2021 References: Message-ID: --------------------------------------------------------------- CALL FOR PAPERS ---------------------------------------------------------------- International Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) @ACL-2021 (https://splu-robonlp2021.github.io/) --------------------------------------------------------------- INVITED SPEAKERS --------------------------------------------------------------- Maja Matari?, University of Southern California Kartik Narasimhan, Princeton University Jean Oh, Carnegie Mellon University Thora Tenbrink, Bangor University --------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Important Dates ? Submission Deadline: April 26, 2021 ? Notification: May 28, 2021 ? Camera Ready deadline: June 7, 2021 ? Workshop Day: August 5-6, 2021 --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- Leveraging the foundation built in the prior workshops RoboNLP 2017, SpLU 2018, SpLU-RoboNLP 2019, and SpLU 2020, this workshop aims to realize the long-term goal of natural conversation with machines in our homes, workplaces, hospitals, and warehouses. It also highlights the importance of spatial semantics when it comes to communicating about the physical world and grounding language in perception. Human-robot dialogue often involves developing an understanding of grounded spatial descriptions. These capabilities invariably require understanding spatial semantics that relates to the physical environments where robots are embodied. The main goal of this joint workshop is to bring in the perspectives of researchers working on physical robot systems and with human users, and align spatial language understanding representation and learning approaches, datasets, and benchmarks with the goals and constraints encountered in HRI and robotics. Such constraints include high costs of real-robot experiments, human-in-the-loop training and evaluation settings, scarcity of embodied data, as well as non-verbal communication. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- Topics include but are not limited to: - Achieving Common Ground in Human-Robot Interaction - Aligning and Translating Language to Situated Actions - Cognitive and Linguistically Motivated Spatial Language Representations - Evaluation Metrics for Language Grounding and Human-Robot Communication - Human-Computer Interactions Through Natural or Structural Language - Instruction Understanding and Spatial Reasoning Based on Multimodal Information for Navigation, Articulation, and Manipulation - Interactive Situated Dialogue for Physical Tasks - Language-based Game Playing for Grounding - Reasoning over Spatial Language (e.g. Based on Qualitative and Quantitative Spatial Representation) - Spatial Language and Skill Learning via Grounded Dialogue - Spatial Information Extraction from Text (e.g. Locative Descriptions, Navigation Instruction) - (Spatial) Language Generation for Embodied Tasks - (Spatially) Grounded Knowledge Representations --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- * Long Papers * Technical papers: ACL style, 8 pages excluding references * Short Papers * Position statements describing previously unpublished work or demos: ACL style, 4 pages excluding references ACL Style files: https://2021.aclweb.org/downloads/acl-ijcnlp2021-templates.zip Submissions website: www.softconf.com/acl2021/w21_splu-robonlp2021 Non-Archival option: ACL workshops are traditionally archival. To allow dual submission of work to SpLU-RoboNLP 2021 and other conferences/journals, we are also including a non-archival track. If space permitting, these submissions will still participate and present their work in the workshop, and will be hosted on the workshop website, but will not be included in the official proceedings. Please submit through softconf but indicate that this is a cross submission (non-archival) at the bottom of the submission form. --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- Malihe Alikhani, University of Pittsburgh Valts Blukis, Cornell University Parisa Kordjamshidi, Michigan State University Aishwarya Padmakumar, University of Texas at Austin Hao Tan, University of North Carolina --------------------------------------------------------------- CONTACT --------------------------------------------------------------- Feel free to contact Organizing Committee at splu-robonlp-2021 at googlegroups.com. ????????????????????? ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.tong at Vanderbilt.Edu Wed Feb 3 14:08:15 2021 From: frank.tong at Vanderbilt.Edu (Tong, Frank) Date: Wed, 3 Feb 2021 19:08:15 +0000 Subject: Connectionists: Postdoctoral Position in Human Visual Processing and Deep Learning, Vanderbilt University In-Reply-To: References: Message-ID: <9639275C-9017-42E9-98A0-806E219B4A67@vanderbilt.edu> Dr. Frank Tong?s lab at Vanderbilt University seeks to hire a postdoctoral fellow who is interested in developing deep neural network models of human visual processing and assessing their ability to account for human behavioral and neural performance. The postdoctoral researcher will have the opportunity to pursue research in one or more focus areas of the lab. The first focuses on characterizing the behavioral and neural bases of visual object recognition, with an emphasis on developing and evaluating new deep neural network architectures as potential models of robust nature of human object recognition. The second focus is to conduct high-resolution fMRI studies at 7 Tesla to characterize the perceptual and attentional functions of the early human visual system, including the lateral geniculate nucleus and early visual cortex. The goal of this research is to evaluate and to develop models of feedback processing, including models of attentional selection and predictive coding. The third focus area is on understanding the visual and cognitive bases of radiological expertise in medical image perception, through a combination of behavioral experimentation with radiologists and non-experts, image processing, synthesis and analysis, and computational modeling to characterize and predict expert performance. Deep learning approaches to medical image classification will also be explored. Candidates should have a strong research background in vision, neuroscience, and/or advanced computational methods, including machine learning and deep learning. Candidates should be highly fluent and versatile at coding in Python and/or MATLAB. Those with extensive experience in computational modeling and/or deep learning are especially encouraged to apply. We seek individuals who enjoy working on challenging problems with enthusiasm and creative rigor in a collaborative team-based environment. This position is open to both US citizens and foreign nationals. Start date is flexible. For more information about the lab, see: http://www.psy.vanderbilt.edu/tonglab/web/Home.html Applicants should send a short cover letter, CV, and names of three references to frank.tong at vanderbilt.edu. Vanderbilt University is an Equal Opportunity/Affirmative Action Employer. From bnuzhanglei2008 at gmail.com Wed Feb 3 12:34:11 2021 From: bnuzhanglei2008 at gmail.com (Lei Zhang) Date: Wed, 3 Feb 2021 18:34:11 +0100 Subject: Connectionists: Multiple PhD positions in Cognition, Behavior, and Neuroscience in Vienna (Austria) Message-ID: (apologies for cross-posting) Large call for 10 *fully-funded PhD positions in Vienna* including *3 projects targeting social neuroscience and neuroimaging* *1. *Led by *Stefanie H?hl* ( https://entw-psy.univie.ac.at/en/research/ ) on *neural entrainment in infants* *2. *Led by *Claus Lamm* (https://scan-psy.univie.ac.at/ ) on *pro-social environmental and sustainable decision-making*. *3. *Led by *Tecumseh Fitch* ( https://cogbio.univie.ac.at/people/staff/tecumseh-fitch/) on the *comparative neural basis of music and speech* See below for more details and visit: https://cogcom.univie.ac.at/doctoral-program/research-projects-proposed/ *Duration of contract*: 3 years with the potential prolongation of another 12 months *Extent of Employment*: 30.0 hours/week. Occupation group in accordance with Austrian University collective bargaining agreement: ?48 VwGr. B1 Grundstufe (pre-doc). *Research Topics*: Candidates should have a good knowledge of the types of research the faculty performs, and specify their research interests and potential supervisor(s). For an overview of the research interests and potential research topics, see our website at cogcom.univie.ac.at. *Duties:* ? Participation in research, teaching and administration, including: ? Participation in scientific research ? Participation in peer-reviewed publications / public presentations ? Successful candidates must sign a doctoral thesis agreement within 6-12 months ? Participation in teaching and supervision of students ? Involvement in the organization of meetings, conferences, symposiums *Profile of qualification:* ? Training (conceptual and methodological) in behavioral and/or cognitive biology, neuroscience, psychology or related disciplines ? Excellent command of English (both spoken and written) ? Very good ability to express yourself both orally and in writing ? Strong IT user skills (including statistics) ? Ability to work in a multi-national team *Desirable qualifications*: ? Previous experience in research methods and academic writing ? Knowledge of academic processes and structures ? Experience abroad (research, study, or both) An application including a letter of motivation, academic curriculum vitae, publication record, evidence of teaching experience (if available), and a short description of one or more potential research project(s) including personal insights and/or reflections, should be uploaded at our website cogcom.univie.ac.at no later than *March 1st 2021*. Potential supervisors and projects should be specified in ranked order. For further information please contact our coordinator at cogcom.office at univie.ac.at. The Universities pursue a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The Universities put special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants. --- *Dr. Lei Zhang* Postdoc Social, Cognitive & Affective Neuroscience Unit Department of Cognition, Emotion, and Methods in Psychology Faculty of Psychology University of Vienna Liebiggasse 5, 1010 Vienna, Austria e: lei.zhang at univie.ac.at w: lei-zhang.net t: @lei_zhang_lz -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: DK_announcement.pdf Type: application/pdf Size: 1231828 bytes Desc: not available URL: From chabane.djeraba at univ-lille.fr Thu Feb 4 04:07:40 2021 From: chabane.djeraba at univ-lille.fr (Chaabane Djeraba) Date: Thu, 4 Feb 2021 10:07:40 +0100 (CET) Subject: Connectionists: CBMI-2021 - Deadline extension - March 1, 2021 In-Reply-To: References: Message-ID: <1799429581.764901.1612429660479.JavaMail.zimbra@univ-lille.fr> Dear colleagues, We have received numerous queries for paper submission deadline extension of CBMI?2021. The submission is thus extended until March 1, 2021. The conference is endorsed by ACM SIGM MM and IEEE. All published papers will be referenced by IEEE Explore. Extension version of the best papers will be published in a special issue of MTAP journal - Springer. Three kinds of contributions are expected : long papers (6 pages), short papers (4 pages) and demonstration papers (4 pages). CBMI-2021 ensures: - three special sessions of very hot scientific topics (bio-inspired approaches, environment and astrophysics) chaired by high distinguished scientist - support (funding) of several students, authors of papers submitted and accepted by CBMI-2021. Furthermore, prizes will be awarded to the best student paper presentation. - panel in important societal issues in multimedia We are at your disposal for any discussions. With my best regards --- ----oooOooo---- CONTENT-BASED MULTIMEDIA INDEXING (CBMI2021) cbmi2021.univ-lille.fr Sponsors : IEEE, IEEE signal processing, ACM SIGMM Place: University of Lille, Cit? scientifique, Villeneuve d'Ascq, France Dates: 28- 30 June 2021 New submission deadline: 1 March 2021 Submission site : [ https://easychair.org/conferences/?conf=cbmi2021 | https://easychair.org/conferences/?conf=cbmi2021 ] CBMI (eighteenth edition) aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content analysis, audio (speech, music, etc.) content analysis and mining, identification and tracking of semantic regions and events, social media analysis. After successful CBMI editions in Toulouse, London, Dublin, Madrid, Prague? this year the conference will be held in Lille, France. The city is one of the main European scientific, technological and cultural centers. Conference attendees will profit of the highest quality scientific talks, demonstrations and cultural events. Call for contributions: [ https://cbmi2021.univ-lille.fr/call-for-contributions | https://cbmi2021.univ-lille.fr/call-for-contributions ] Submitting: [ https://cbmi2021.univ-lille.fr/submitting | https://cbmi2021.univ-lille.fr/submitting ] ## IMPORTANT DATES: Deadline for regular paper and demo submissions: 1 March 2021 Notification of acceptance: 15 March 2021 Camera-ready papers due: 30 March 2021 ## STUDENT PARTICIPATION: We strongly encourage students to participate in CBMI-21 event and submit their research. With support of ACM SIGMM, CBMI2021 will sponsor several students and prizes will be awarded to the best student poster presentations of CBMI2021. ## SPECIAL SESSIONS Three hot scientific topics of special sessions: - Bio-inspired circuits, systems and algorithms for multimedia - Content-based learning in astrophysics (CoBLA) - Mining and indexing multimedia data for remote sensing of the environment and our changing planet Special session information: [ https://cbmi2021.univ-lille.fr/call-for-contributions#callforpapersspecial | https://cbmi2021.univ-lille.fr/call-for-contributions#callforpapersspecial ] ## PANEL The Panel is dedicated to important societal issues in multimedia: women in multimedia, diversity, inclusiveness .. Contact: cbmi2021-organisation at univ-lille.fr ----oooOooo---- -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Thu Feb 4 07:37:08 2021 From: cognitivium at sciencebeam.com (Mary) Date: Thu, 4 Feb 2021 16:07:08 +0330 Subject: Connectionists: WEBINAR-Using Deep Neural Networks to Model Neural Activity Message-ID: <202102041237.114CbA4c022371@scs-mx-03.andrew.cmu.edu> Dear Researchers, Science Beam is organizing a FREE WEBINAR on ?Using Deep Neural Networks to Model Neural Activity? Date and Time: February 20, 2021. 12:00 AM UST Lecturer: Dr. Aakash Agrawal ? Post-doctoral researcher at NeuroSpin, college de France ? PhD at centre for Biosystems science and Engineering (BSSE), Indian Institute of Science The purpose of this webinar is to learn: ? Introduction to different model types ? Basics of deep convolutional neural networks ? Modeling single unit activity and population data ? Case study of a recent paper that uses deep neural networks to model the neural activity evoked while viewing images. This is great opportunity for those interested in the field of neural networks. So, we would be glad if you could join and participate. To save your seat, please register using the link below, and feel free to share it with your friends: https://sciencebeam.com/using-deep-neural-networks-to-model-neural-activity/# We hope to see you there! Mary Reae Human Neuroscience Department Manager www.ScienceBeam.com WhatsAppno: 008613380781282 -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.j.b.hancock at stir.ac.uk Thu Feb 4 07:35:14 2021 From: p.j.b.hancock at stir.ac.uk (Peter Hancock) Date: Thu, 4 Feb 2021 12:35:14 +0000 Subject: Connectionists: Lectureship (assistant prof) vacancies at Stirling Psychology Message-ID: Stirling university Psychology has *seven* vacancies for full time, permanent teaching/research posts (lecturers). It would be great to get some applications from people interested in modelling. https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=2447&jobTitle=Lecturer%20in%20Psychology Application deadline is March 10 Peter Peter Hancock Professor Psychology, School of Natural Sciences University of Stirling FK9 4LA, UK phone 01786 467675 http://rms.stir.ac.uk/converis-stirling/person/11587 @pjbhancock Latest paper: Surgical face masks impair human face matching performance for familiar and unfamiliar faces http://hdl.handle.net/1893/31998 Psychology at Stirling 100% 4* Impact, REF 2014 [Sports University of the Year 2020] My messages may arrive outside of the working day but this does not imply any expectation that you should reply outside of your normal working hours. If you wish to respond, please do so when convenient. ________________________________ The University achieved an overall 5 stars in the QS World University Rankings 2020 UK Sports University of the Year 2020 (Times Higher Good University Guide) The University of Stirling is a charity registered in Scotland, number SC 011159. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 21374 bytes Desc: image002.png URL: From fa.oliehoek at gmail.com Thu Feb 4 08:08:43 2021 From: fa.oliehoek at gmail.com (Frans Oliehoek) Date: Thu, 4 Feb 2021 14:08:43 +0100 Subject: Connectionists: Craig Boutilier @ Challenges and Opportunities in Multiagent RL Message-ID: <138c230b-dec8-7836-d2bc-7b33384c98e1@gmail.com> Dear all, After a fantastic inaugural presentation by Michael Bowling, we are excited to announce the next speaker in our virtual seminar series on the Challenges and Opportunities for Multiagent Reinforcement Learning (COMARL): Speaker: Craig Boutilier, Google Research Title: Maximizing User Social Welfare in Recommender Ecosystems (abstract and bio can be found below) Date: Thursday February 11th, 2021 Time: 17:00 CET / 16:00 UTC / 08:00 PST Location: via google meet or youtube For detailed instructions on how to join, please see here: https://sites.google.com/view/comarl-seminars/how-to-attend For additional information, please see our: * Website (includes schedule, instructions on how to join, etc.) * Twitter account (for speaker announcements and more!):@ComarlSeminars * Google Groups (to receive invitations): comarlseminars at googlegroups.com We look forward to seeing you there! Best regards from the organizers, Chris Amato (Northeastern University), Marta Garnelo (DeepMind), Frans Oliehoek (TU Delft), Shayegan Omidshafiei (DeepMind), Karl Tuyls (DeepMind) Speaker: Craig Boutilier Google Research, Mountain View, CA, USA Title: Maximizing User Social Welfare in Recommender Ecosystems Abstract: An important goal for recommender systems is to make recommendations that maximize some form of user utility over (ideally, extended periods of) time. While reinforcement learning has started to find limited application in recommendation settings, for the most part, practical recommender systems remain "myopic" (i.e., focused on immediate user responses). Moreover, they are "local" in the sense that they rarely consider the impact that a recommendation made to one user may have on the ability to serve other users. These latter "ecosystem effects" play a critical role in optimizing long-term user utility. In this talk, I describe some recent work we have been doing to optimize user utility and social welfare using reinforcement learning and equilibrium modeling of the recommender ecosystem; draw connections between these models and notions such as fairness and incentive design; and outline some future challenges for the community. Bio: Craig Boutilier is a Principal Scientist at Google. He received his Ph.D. in Computer Science from U. Toronto (1992), and has held positions at U. British Columbia and U. Toronto (where he served as Chair of the Dept. of Computer Science). He co-founded Granata Decision Systems, served as a technical advisor for CombineNet, Inc., and has held consulting/visiting professor appointments at Stanford, Brown, CMU and Paris-Dauphine. Boutilier's current research focuses on various aspects of decision making under uncertainty, including: recommender systems; user modeling; MDPs, reinforcement learning and bandits; preference modeling and elicitation; mechanism design, game theory and multi-agent decision processes; and related areas. Past research has also dealt with: knowledge representation, belief revision, default reasoning and modal logic; probabilistic reasoning and graphical models; multi-agent systems; and social choice. Boutilier served as Program Chair for IJCAI-09 and UAI-2000, and as Editor-in-Chief of the Journal of AI Research (JAIR). He is a Fellow of the Royal Society of Canada (FRSC), the Association for Computing Machinery (ACM) and the Association for the Advancement of Artificial Intelligence (AAAI). He also received the 2018 ACM/SIGAI Autonomous Agents Research Award. -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Thu Feb 4 08:28:31 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Thu, 4 Feb 2021 14:28:31 +0100 Subject: Connectionists: CFP: CVPR 2021 Workshop and Challenge on Learned Image Compression (CLIC) Message-ID: Apologies for cross-posting ******************************* CALL FOR PARTICIPANTS & PAPERS CLIC: 4th Workshop and Challenge on Learned Image Compression 2021 in conjunction with CVPR 2021, June, Nashville, USA (VIRTUAL). Website: http://www.compression.cc/ MOTIVATION Our workshop aims to gather publications which will advance the field of image and video compression using machine learning and computer vision. We want to encourage the development of novel encoder/decoder architectures, novel ways to control information flow between the encoder and the decoder, new perceptual losses, and new ways to learn quantized representations. At the workshop we will also present the winners of our annual compression challenge. Like the workshop, the challenge is designed to encourage the development of new learned codecs. But it is also an opportunity to evaluate and compare end-to-end trained approaches against classical approaches and every submission is welcome. CHALLENGE (ongoing!) There are three challenge tracks: 1. * image compression *track, images need to be compressed to 0.075 bpp, 0.15 bpp, and 0.3 bpp (bits per pixel). 2. *video compression* track, short video clips need to be compressed to around 1 Mbit/s. 3. *perceptual metric* track, human preferences on pairs of images will have to be predicted. The image pairs will come from the decoders submitted to the image compression track. IMPORTANT DATES Jan 10, 2021 Challenge dataset is released Mar 20, 2021 Challenge validation phase ends Mar 23, 2021 Paper submission deadline Mar 23, 2021 Challenge test set is released Mar 27, 2021 Competition closes Apr 06, 2021 Paper decision notification PAPER SUBMISSION https://cmt3.research.microsoft.com/CLIC2021/ SPEAKERS Jo?o Ascenso, University of Lisbon Kede Ma, City University of Hong Kong Rianne van den Berg, Google ORGANIZERS George Toderici (Google) Wenzhe Shi (Twitter) Radu Timofte (ETH Zurich) Lucas Theis (Google) Johannes Ball? (Google) Eirikur Agustsson (Google) Nick Johnston (Google) Fabian Mentzer (Google) Zeina Sinno (Apple) Andrey Norkin (Netflix) Krishna Rapaka (Apple) Erfan Noury (Apple) SPONSORS (TBU): Google Twitter ETH Zurich / CVL Apple Netflix Website: http://www.compression.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From helena at incf.org Thu Feb 4 08:47:01 2021 From: helena at incf.org (Helena Ledmyr) Date: Thu, 4 Feb 2021 14:47:01 +0100 Subject: Connectionists: FENS job advertisement for Executive Director position Message-ID: The Federation of European Neuroscience Societies, FENS, seeks an outstanding association executive or executive?scientist to serve as its next Executive Director. The new Executive Director should have experience in leading a scientific organisation, knowledge of current trends and issues facing life sciences and particularly neuroscience, and understand the legislative process and public policy, as well as the financial tenets of a non?profit organisation. This is a full-time position based in Brussels, Belgium. Reviewing of applications will begin on 15 February 2021 and applications will be accepted until the position has been filled. https://www.fens.org/News-Activities/News/2021/02/FENS-ED-position/ All the best Helena ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Thu Feb 4 08:46:47 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 4 Feb 2021 14:46:47 +0100 Subject: Connectionists: CFP - MDPI Journal of Imaging special issue on "Fine Art Pattern Extraction and Recognition" Message-ID: apologies for multiple posting, please distribute among interested parties __________________________________________________________________________ ??????????????? ? ?? Call for Papers - Special Issue ?? ???????????????? of the MDPI Journal of Imaging on ? ? ????????? _____________________________________________ ?? ? ????????? Fine Art Pattern Extraction and Recognition ??? ? ??????? _____________________________________________ -->>> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<<-- __________________________________________________________________________ ___________ Aim & Scope Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. This special issue will provide the researchers from diverse areas such as pattern recognition, computer vision, artificial intelligence, and image processing, with the opportunity to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. _______________________________________ Topics include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio, and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition _______________________________________ Submission Deadline:? 28 February 2021 _______________________________________ Submit your paper to manuscript submission and peer review site via the following link: ->> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<- The Article Processing Charge (APC) for publication in the MDPI Journal of Imaging is 1000 CHF (Swiss Francs). ________________ Editor-in-Chief ________________ Prof. Gonzalo Pajares Martinsanz, Universitad Complutense de Madrid, Spain ______________ Guest Editors ______________ Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy From bnuzhanglei2008 at gmail.com Fri Feb 5 07:07:13 2021 From: bnuzhanglei2008 at gmail.com (Lei Zhang) Date: Fri, 5 Feb 2021 13:07:13 +0100 Subject: Connectionists: Vacant PhD or Postdoc position in computational social neuroscience (NIN Amsterdam) Message-ID: ** apologies for cross-posting ** *Vacant PhD or Postdoc position in computational social neuroscience!* The Social Brain Lab, at the Netherlands Institute for Neuroscience, has an exciting opportunity for a Post-doc researcher or PhD student to investigate the link between embodied processes and of conflictual social decision making in humans *Project*: You will use both pre- and newly acquired fMRI, EEG and EcoG data in combination with reinforcement learning computational modelling to reveal the circuits and processes linking embodied perception and other regarding choices, in particular when cost and benefits for self are in conflict with costs and benefits for others. This project will require a combination of advanced analytical and modelling skills together with creative social neuroscience experimentation. We therefore expect you to be comparatively independent regarding the computational aspects of the project, leveraging our close collaborations with computation neuroscience groups as appropriate, while we guarantee our direct support in developing the necessary social neuroscience competences. By working within the SBL you will have the unique opportunity to collaborate with other members of the lab working with rodent?s model to bridge and integrate results from the two species. *Duration*: 3 years *Starting date*: as soon as possible *Application deadline*: February 20, 2021 *Working language*: English *Location*: Social Brain Lab (socialbrainlab.org; https://nin.nl/research/researchgroups/gazzola-group/), at the Netherlands Institute for Neuroscience (NIN) (www.nin.knaw.nl), Amsterdam, NL *Application forms and additional information:* PhD: @ https://forms.gle/2Qek3z25EFsLzojJA Post-doc: @ https://forms.gle/v4akmgo1v54pTemW7 *The SBL*: The Social Brain Lab, is the results of the joint venture of the research groups of Christian Keysers and Valeria Gazzola, aiming at shedding light on the neural mechanisms of empathy by combining studies in humans and rodents. The SBL is funded by multiple European (ERC, Marie Curie) and Dutch (VIDI, VICI) grants, and is characterized by an unusually diverse environment, with members from all over the world, backgrounds ranging from philosophy to engineering with an emphasis on biology and psychology, and neuroscientific techniques spamming from high field fMRI in humans to ultrasound imaging in rodents. *The NIN*: The Netherlands Institute for Neuroscience (www.nin.nl) is the country?s leading fundamental neuroscience research institute, and is in close collaboration with the SPINOZA imaging center, which hosts both 3T and 7T scanners and relevant expertise. Both the PIs have an additional position at the University of Amsterdam, one of the top psychology departments in Europe. Together this provides a critical mass of experts in the most advanced neuroscience techniques, together with a dynamic multi-cultural environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de Fri Feb 5 05:48:46 2021 From: malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de (Vinita Samarasinghe) Date: Fri, 5 Feb 2021 11:48:46 +0100 Subject: Connectionists: Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation Message-ID: <702634ce-69ad-ce70-ea9e-0d68f6939ddd@ini.ruhr-uni-bochum.de> *Pending funding approval*, Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience . * The position starts 01.07.2021 and is funded for three years. *Job description* The position is part of the Collaborative Research Center ?Extinction Learning? (SFB 1280) and expected to study the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns . *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts 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 deadline for applications is April11^th , 2021. Travel costs for interviews will not be reimbursed. 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. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Postfachnummer 110 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri Feb 5 02:17:58 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 5 Feb 2021 09:17:58 +0200 Subject: Connectionists: CfP for EUSIPCO 2021 Special Session "Image and video analysis for autonomous drones" (Deadline February 12, 2021) References: <20210204153000.Horde.4gylGpFQhuO5L0kB6xwILz1@webmail.auth.gr> Message-ID: <021601d6fb8f$08d88130$1a898390$@csd.auth.gr> Dear drone imaging scientists and engineers, you are invited to submit an original, unpublished technical paper to the Special Session "Image and video analysis for autonomous drones" of EUSIPCO 2021: https://eusipco2021.org/. Conference submission deadline is February 12, 2021. Autonomous Unmanned Aerial Vehicles (UAVs, or drones) are becoming more and more important to many industries, promising simplified logistics, cost reductions, increased safety for humans, quicker response times and more accurate results, when compared to traditional procedures. Drones are highly useful thanks to their easy deployment, their aerial point-of-view and their ability to access difficult-to-reach spaces. Recent advances in aerial robotics and AI have already pushed drone automation to an unprecedented degree in various application domains, such as infrastructure inspection and maintenance, aerial cinematography, search and rescue operations, etc. Manipulation, processing, analysis and learning of visual signals lie at the forefront of this revolution. This special session will consider current research in this interdisciplinary subject, aiming to bring together researchers working on image/video analysis and experts in aerial robotics. Topics of interest may include, among others: - Embedded computer vision - Deep learning for image/video analysis - Multimodal perception - Sensor and data fusion - Fault and anomaly detection in drone footage - Subcentimeter-accuracy inspection - Autonomous drone cinematography - Vision-based localization and mapping - Vision-based drone navigation/control - Vision-based human-drone interaction This Special Session concerns a very timely topic with high industrial potential, given that fully/semi- automated drones are slowly emerging as a viable alternative to manually teleoperated ones, thanks to recent advances in robotics and AI. A lot of underlying cognitive functionalities that enable such autonomy, particularly the ones facilitating drone perception, rely on advanced image/video analysis methods for achieving their goals, making this a highly interdisciplinary topic of exceptional interest both to imaging scientists and aerial robotics researchers. The Special Session is organized by Prof. I. Pitas and Dr. I. Mademlis, from the Artificial Intelligence and Information Analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece (AUTH), under the auspices of the EU-funded Horizon 2020 programme AERIAL-CORE (https://aerial-core.eu/). Relevant links: 1) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 2) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours, Prof. I. Pitas, Dr. Ioannis Mademlis, Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece ----------------------------------------------------------- Ioannis Mademlis, Ph.D. Postdoctoral Research Associate Artificial Intelligence and Information Analysis Lab (AIIA) Aristotle University of Thessaloniki -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus From moritz.grosse-wentrup at univie.ac.at Fri Feb 5 06:21:29 2021 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Fri, 5 Feb 2021 12:21:29 +0100 Subject: Connectionists: [2nd BCI-UC] Program online In-Reply-To: References: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> <5f10ced6-8983-5142-7a2c-a9d27911305e@univie.ac.at> <2f2cfc40-6577-0f33-1467-be4d162e9d93@univie.ac.at> Message-ID: Dear colleagues: The program of the 2nd BCI-UC on February 10th & 11th 2021 from 03:00 pm to 08:00 pm (CET) is now online: https://bciunconference.univie.ac.at/2nd-bci-uc/ All presentations are streamed live and free-of-charge via https://www.crowdcast.io/e/2nd-brain-computer-interface-unconference/ The 2nd BCI-UC features keynotes by *Camille Jeunet* on "User-centered approach to improve BCI efficiency and usability: Stakes, Progress and Obstacles" and by *Marco Congedo* on "Recent Advances on Riemannian Transfer Learning". In addition, we have twelve contributed presentations on a broad range of topics and a symposium on commercial perspectives for BCI technologies. The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu From gros at itp.uni-frankfurt.de Fri Feb 5 10:47:44 2021 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Fri, 05 Feb 2021 16:47:44 +0100 Subject: Connectionists: Focus on Criticality and Complexity in Brain Dynamics In-Reply-To: Message-ID: <115a-601d6880-2f-77ef3380@266151524> Dear colleagues A short reminder: Together with Dante Chialvo, we are editing a Focus on Criticality and Complexity in Brain Dynamics Journal of Physics: Complexity Deadline 30 April 2021 https://iopscience.iop.org/journal/2632-072X/page/Focus_on_Criticality_and_Compl exity_in_Brain_Dynamics Among others, we are especially interested in compact perspectives, e.g. on -- experimental and theoretical methodology -- 'critical' assessments of underlying concepts -- controversial viewpoints We hope that the focus on brain criticality and complexity will be a place to assess where the field stands and where the fields needs to go. Please do not hesitate to contact us for any further information. We are looking forward to your contribution! Claudius Gros ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ### From aavaainc at gmail.com Fri Feb 5 11:37:41 2021 From: aavaainc at gmail.com (AAVAA Inc) Date: Fri, 5 Feb 2021 11:37:41 -0500 Subject: Connectionists: Mobile CGX Quick 20 and Smarting Amplifier with cEEGrids For Sale Message-ID: Hello, We hope you are doing well and having a good start to the new year. We are a group in Montreal called AAVAA (www.aavaa.ca) researching the auditory system in the brain, and purchased the mobile Quick 20 EEG headset as well as the mobile Smarting EEG amplifier systems to perform our research. We have since developed our own custom hardware that is more tailored to our purposes, and are now looking to sell these systems since we no longer need them. Both are in new condition, were lightly used and well maintained, and work perfectly well. The total retail value is $29,300CAD, but we will offer any one or both of the systems at a discounted price. Please see details attached. If you are interested in one or both of the systems, please contact us at info at aavaainc.com Best, The AAVAA Team CGX Quick 20 System (Retail value: $18,500CAD) Includes: - Quick 20 recording device - Carrying case - Flex sensors - Drypad sensors - Batteries and charging unit Please see the following link to the manufacturer's website: https://www.cgxsystems.com/ Specifications: - Optional millisecond precise wireless trigger for ERP research - Optional auxiliary input module supporting up to 8 analog inputs for ECG/EMG/EOG, respiration, temperature, SpO2, GSR, and more - Open access to raw EEG and multiple real-time data output options - Compatible with MATLAB/EEGLAB, Lab StreamingLayer, Neuropype, BCI2000, OpenViBE, Brain Vision Analyzer, Mensia, and Neuroguide - Custom software development possible - Ultra-fast application: 2 to 4 minutes on most subjects - Active electrodes with active shielding - Real-time impedance check - All standard 10-20 positions - Lightweight, comfortable, wearable design - Resistant to electrical and mechanical artifacts - Available in adult size Smarting Amplifier Set with cEEGrids (Retail value: $10,800CAD) Includes: - mobile Smarting amplifier - 30 cEEGrid sensor arrays - headband - bluetooth dongle - preparation materials Please see the following link to the manufacturer's website: https://mbraintrain.com/ Specifications: - Number of channels: 24 - Channel Type / Reference: referential channels / recording with one electrode - Input impedance: 1 G? - Input Referred Noise: <1 ?V - Input Range: (-100)mV - 100 mV - CMMR: > 140 dB* - Gain: 24 - Gyroscope: 3D Built-in - Sampling frequency: 250 or 500 Hz - Sampling: Parallel sampling - Resolution: 24-bits - Bandwidth: 0-250 Hz - Flat Frequency Response: 0-133 Hz - Power Supply: USB Type-C - Battery Type: Internal - Operation time: ~ 5 hours cEEGrids x30 - Flex-printed, multi-channel cEEGrids have sensor arrays placed around the ear using an adhesive. - All conductive parts ? sensors, wiring and connectors are made from silver ink -------------- next part -------------- An HTML attachment was scrubbed... URL: From tommasi.t at gmail.com Fri Feb 5 11:59:18 2021 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Fri, 5 Feb 2021 17:59:18 +0100 Subject: Connectionists: CFP - CVPR 2021 "Learning from Limited and Imperfect Data" (L2ID) Workshop & Challenges Message-ID: *Learning from Limited and Imperfect Data (L2ID) Workshop & Challenges* In conjunction with the Computer Vision and Pattern Recognition Conference (CVPR) 2021 June 19-25 2021, Virtual Online https://l2id.github.io/ ****************************** *CALL FOR PAPERS & CHALLENGE PARTICIPATION* Learning from limited or imperfect data (L^2ID) refers to a variety of studies that attempt to address challenging pattern recognition tasks by learning from limited, weak, or noisy supervision. Supervised learning methods, including Deep Convolutional Neural Networks, have significantly improved the performance of many problems in the field of computer vision. However, these approaches are notoriously "data hungry", which makes them sometimes not practical in many real-world industrial applications. The issue of availability of large quantities of labeled data becomes even more severe when considering visual classes that require annotation based on expert knowledge (e.g., medical imaging), classes that rarely occur, or object detection and instance segmentation tasks where the labeling requires more effort. To address this problem, many efforts have been made to improve robustness to this scenario. The goal of this workshop is to bring together researchers to discuss emerging new technologies related to visual learning with limited or imperfectly labeled data. We will have two groups of challenges this year, including for localization and few-shot classification. Check the website for all the L2ID challenges: Localization: Track 1 - Weakly Supervised Semantic Segmentation Track 2 - Weakly supervised product detection and retrieval Track 3 - Weakly-supervised Object Localization Track 4 - High-resolution Human Parsing Few Shot Classification: Track 1 - Cross Domain, small scale Track 2 - Cross Domain, large scale Track 3 - Cross Domain, larger number of classes ****************************** *TOPICS* ? Few-shot learning for image classification, object detection, etc. ? Cross-domain few-shot learning ? Weakly-/semi-supervised learning algorithms ? Zero-shot learning, Learning in the ?long-tail? scenario ? Self-supervised learning and unsupervised representation learning ? Learning with noisy data ? Any-shot learning ? transitioning between few-shot, mid-shot, and many-shot training ? Optimal data and source selection for effective meta-training with a known or unknown set of target categories ? Data augmentation ? New datasets and metrics to evaluate the benefit of such methods ? Real world applications such as object semantic segmentation/detection/localization, scene parsing, video processing (e.g. action recognition, event detection, and object tracking) This is not a closed list, we welcome other interesting and relevant research for L^2ID. ****************************** *IMPORTANT DATES* Paper submission deadline: March 25th, 2021 Notification to authors: April 8th, 2021 Camera-ready deadline: April 20th, 2021 The contributions can have two formats - Extended Abstracts of max 4 pages (excluding references) - Papers of the same lenght of CVPR submissions We encourage authors who wants to present and discuss their ongoing work to choose the Extended Abstract format. According to the CVPR rules, extended abstracts will not count as archival. The submissions should be uploaded through CMT: https://cmt3.research.microsoft.com/LLID2021 ****************************** *WORKSHOP ORGANIZERS:* Zsolt Kira (Georgia Tech, USA) Shuai (Kyle) Zheng (Dawnlight Technologies Inc, USA) Noel C. F. Codella (Microsoft, USA) Yunchao Wei (University of Technology Sydney, AU) Tatiana Tommasi (Politecnico di Torino, IT) Ming-Ming Cheng (Nankai University, CN) Judy Hoffman (Georgia Tech, USA) Antonio Torralba (MIT, USA) Xiaojuan Qi (University of Hong Kong, HK) Sadeep Jayasumana (Google, USA) Hang Zhao (MIT, USA) Liwei Wang (Chinese University of Hong Kong, HK) Yunhui Guo (UC Berkeley/ICSI, USA) Lin-Zhuo Chen (Nankai University, CN) -------------- next part -------------- An HTML attachment was scrubbed... URL: From abasov at hse.ru Fri Feb 5 10:24:38 2021 From: abasov at hse.ru (=?koi8-r?B?4sHTz9cg4c7Uz84g6czYyd4=?=) Date: Fri, 5 Feb 2021 15:24:38 +0000 Subject: Connectionists: Computer Science Internships at HSE University Message-ID: <8be8ae23cddc4e2db8364ba38494a60c@hse.ru> Take part in the computer science research projects under the supervision of renowned scientists with a research internship at one of Russia's best universities. The Faculty of Computer Science of HSE University invites international undergraduate, graduate and postgraduate students to participate in research internships. Participants will get real-life experience of research in various fields of computer science. Leading senior scientists of international acclaim will offer their supervision and guidance. Internships last from two to six months, both online and on-site (Moscow, Russia). At present, seven projects are available: ? Process Simulation and Log Generation ? Process Mining Using Neural Networks ? Universality Classes in Sandpiles ? Reasoning with Neural Differentiable Machines ? Learning for Mass Spectrometry Data Identification (Bioinformatics) ? Coordinates and singularities of misorientation spaces ? TDA and FCA in experiments with neurons The key requirements are experience in the research area and a good command of English (Russian is not required). Application process has two steps, CV selection and an online interview with a potential academic supervisor. Learn more and apply: https://cs.hse.ru/en/internships/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sun Feb 7 04:45:58 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sun, 7 Feb 2021 11:45:58 +0200 Subject: Connectionists: 15th International Conference on Research Challenges in Information Science (RCIS 2021): Last Joint Call for Doctoral Consortium, Posters & Demos, Research Projects and Tutorials Message-ID: *** Last Joint Call for Doctoral Consortium, Posters & Demos, Research Projects and Tutorials *** 15th International Conference on Research Challenges in Information Science (RCIS 2021) May 12-14, 2021, Virtual Event! http://www.rcis-conf.com/rcis2021/ Submission deadline (except tutorials): February 19, 2021 (AoE) Submission deadline only for tutorials: March 19, 2021 (AoE) (Proceedings to be published by Springer) RCIS has become a recognized conference on research challenges in Information Science. Organized for the 15th time in a row, RCIS 2021 will be held from May 12-14, 2021, as a virtual event. The topics of interest are organized into some major categories (more details in the call for papers http://www.rcis-conf.com/rcis2021/callPapers.php): ? Information Systems and their Engineering ? User-Oriented Approaches ? Data and Information Management ? Business Process Management ? Domain-specific IS Engineering ? Data Science ? Information Infrastructures ? Reflective Research and Practice IMPORTANT DATES FOR ALL SATELLITE EVENTS ? Submission deadline (except tutorials): February 19, 2021 (AoE) (extended!) ? Submission deadline for tutorial proposals: March 19, 2021 (AoE) ? Notification to authors and registration opening: March 12, 2021 ? Notification for tutorial proposals: March 22, 2021 ? Author registration deadline for all paper types: March 29, 2021 ? Camera-ready copy deadline for all paper types: March 29, 2021 ? Conference: May 12-14, 2021 DOCTORAL CONSORTIUM The RCIS 2021 Doctoral Consortium is an opportunity for doctoral students to present, discuss and develop their research project in an interdisciplinary workshop, under the guidance of a panel of senior researchers. The Doctoral Consortium offers nice opportunities for PhD students. Firstly, the feedback received during the Doctoral Consortium will really benefit students who have defined their topic, research plan and have obtained early results, but who still have room for improving their longer-term plan. Secondly, students at all stages of their doctoral project can meet the welcoming RCIS community and widen their network of contacts. The Doctoral Consortium has the following objectives: ? Provide a platform for students to present their work and to meet other peers and be familiar with different research topics and methods. ? Provide feedback on students' current research and guidance on future research directions. ? Promote the development of a supportive community of scholars and a spirit of collaborative research and networking. ? Contribute to the conference goals through interaction with other researchers. Interested PhD students are invited to submit papers, in agreement with their supervisors, addressing the instructions that are provided on the online call: http://www.rcis-conf.com/rcis2021/callDoctoral.php . Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Submissions must be written in English, and must be authored by the student only. The maximum length of the paper should be eight (8) pages, including references, appendices, etc. The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "RCIS2021_Doctoral_Consortium" track. Doctoral Consortium Chairs ? Xavier Franch, Universitat Polit?cnica de Catalunya, Spain ? Renata Guizzardi, University of Twente, The Netherlands Doctoral Consortium Student Co-Chair ? Blagovesta Kostova, EPFL, Switzerland POSTERS AND DEMOS The posters & demos track will showcase prototypes and new research ideas in Information Science. This track provides a forum for researchers and practitioners to present their work, interact with conference participants, and obtain feedback on on-going research. We invite two types of submissions: ? Posters are intended to convey a research result and are not advertisements for commercial software packages. While posters need not describe completed work, they should report on research for which at least some preliminary results are available. ? Demonstrations should directly and actively involve the exhibition and display of tools/prototypes and associated materials that illustrate research work in progress and serve as ground for discussion of research ideas. Posters and demonstrations proposals must be submitted as a single PDF file with no more than 6 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) including references and appendices. Proposals that exceed the limit of 6 pages will be rejected without review. Proposals that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2021. The submission site address is http://www.rcis-conf.com/rcis2021/ where you can choose the "RCIS2021 Posters & Demos" track. More details on the submission and presentation format is online: http://www.rcis-conf.com/rcis2021/callPostersDemo.php . Posters & Demos Chairs ? Dominik Bork, TU Wien, Austria ? Giovanni Meroni, Politecnico di Milano, Italy RESEARCH PROJECTS @RCIS RCIS 2021 features a track entirely devoted to presenting future or ongoing research projects (e.g., H2020 or ERC projects, national grants) in the context of information science. This track features a good opportunity for presenters to get feedback before submitting research project or to disseminate the intermediate results of their projects, and for participants to get an updated view of innovative ongoing research while getting in touch with potential research partners. The Research Projects @RCIS Track follows a two-step publication process. Firstly, the authors should submit a 2 pages paper summarizing the objectives of the project and relevant results. Each submission will be peer reviewed on the relevance of the submitted paper in the context of RCIS. If the paper is accepted, the authors will have to register to the conference in order to present their work as a poster at the "Research Projects @ RCIS" session at RCIS. A discussant system will be organized to ensure proper feedback and discussions about the projects. Furthermore, the accepted 2 pages paper will be published in the conference proceedings to be published by Springer in the LNBIP series. Beyond the special topic for RCIS 2021, the conference welcomes Research Projects submissions from any domain of Information Science. More information about the special topic and the range of topics that RCIS traditionally addresses can be found in: http://www.rcis-conf.com/rcis2021/callPapers.php . The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "ResearchProjects at RCIS2021" track. More information about preparing and submitting contributions related to this track can be found here: http://www.rcis-conf.com/rcis2021/researchProjects.php . Research Projects @RCIS Chairs ? Denisse Mu?ante, T?l?com SudParis, Institut Polytechnique de Paris, France ? Anthony Simonofski, UNamur and KU Leuven, Belgium TUTORIALS Tutorials are intended to provide independent instruction (know-how) on a topic of relevance for the RCIS academic and practitioner community. However, we discourage commercial or sales-oriented tutorials. Potential presenters should keep in mind that there might be a varied audience, including novice graduate students, seasoned practitioners, and specialised researchers. Tutorial speakers should be prepared to cope with this diversity. The conference has specific slots for tutorials. They will be organised in sessions of 90 minutes with a free format. Tutorials run in parallel with other conference tracks, and participation in the tutorials is included in the attendees' conference fee. We invite proposals for tutorials that may address one or more of the listed topics below, although authors should not feel limited by them. A 2-page summary of the tutorials that end up being accepted and delivered will be published in the conference proceedings, which will be published by Springer in the Lecture Notes in Business Information Processing series. Furthermore, a free registration for the conference will be offered to the main presenter (i.e. to one speaker), unless they are the only paying author of a paper presented at the conference. Beyond the special topic for RCIS 2021, the conference welcomes tutorial proposals from any domain of Information Science. More information about the special topic and the range of topics that RCIS traditionally addresses can be found in: http://www.rcis-conf.com/rcis2021/callPapers.php . Tutorial proposals are limited to 5 pages in Springer LNCS/LNBIP format and should be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "RCIS2021_Tutorials" track. More information about preparing and submitting contributions related to this track can be found here: http://www.rcis-conf.com/rcis2021/tutorials.php . Tutorial Chairs ? Sergio Espa?a, Utrecht University, The Netherlands ? Patricia Mart?n-Rodilla, University of A Coruna, Spain CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Samira Cherfi, CNAM, France ? Anna Perini, FBK, Italy Proceedings Chair ? Raihana Ferdous, FBK, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From thanh.dinhvan at gmail.com Sun Feb 7 11:16:31 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Sun, 7 Feb 2021 23:16:31 +0700 Subject: Connectionists: Call for Papers: Special Session on KR & Machine Learning (KR2021) Message-ID: <181a366b-4bdb-ca78-c84d-53142b43b09f@gmail.com> Call for Papers **Special Session on Knowledge Representation and Machine Learning** at the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de ------------------ Important Dates ------------------ Submission of title and abstract: ??? March 24, 2021 Paper submission deadline: ??? ??? March 31, 2021 Author response period: ??? ??? May 24-26, 2021 Notification: ??? ??? ??? ??? June 15, 2021 Camera-ready papers: ??? ??? ??? July 14, 2021 Conference dates: ??? ??? ??? November 6-12, 2021 ----------- Description ----------- Over the last two decades, Machine Learning (ML) has made incredible progress and become very effective at solving specific tasks while being robust across many experimental learning applications. Deep learning, statistical (relational) learning, reinforcement learning and logic-based and/or probabilistic learning are among the many ML approaches that are witnessing such advancements. On the other hand, Knowledge Representation and Reasoning (KR) has continued to be at the core of Artificial Intelligence (AI) research providing solutions for explicit declarative representation of knowledge and knowledge-based inference, which have theoretical and practical relevance in many aspects of AI as well as in new emerging fields outside AI. The synergy between these two areas of AI has the potential to lead to new advancements on the foundations of AI that offer novel insights into open fundamental challenges including, but not limited to, learning symbolic generalisations from raw (multi-modal) data, using knowledge to facilitate data-efficient learning, supporting interpretability of learned outcomes, federated multi-agent learning and decision making. This year, for the second time, KR2021 will host a special session on "Knowledge Representation and Machine Learning". This special session aims at providing researchers and industrial practitioners with a dedicated forum for presentation and discussion of new ideas, research experience and emerging results on topics related to computational learning and symbolic knowledge representation and reasoning. This special session provides the opportunity for fostering meaningful connections between researchers from these two main areas of AI and, at the same time, offering the possibility to learn about progress made on these topics, share their own views and learn about approaches that could lead to effective cross-fertilisation among research in ML and KR and new innovative solutions to key AI research challenges. ---------------------- Expected contributions ---------------------- The Special Session on KR and ML at KR2021 invites submissions of papers across KR and ML on advancements in one of these areas for the purpose of addressing open research challenges in the other, integration of computational learning and knowledge representation and reasoning, and the application of combined KR and ML approaches to solve real-world problems, including case studies and benchmarks. We welcome papers on a wide range of topics, including but not limited to: -- Learning ontologies and knowledge graphs -- Learning action theories -- Learning common-sense knowledge -- Learning spatial and temporal theories -- Learning preference models -- Learning causal models -- Learning tractable probabilistic models -- Probabilistic reasoning and learning -- Graphical models for knowledge representation and reasoning -- Reasoning and learning over knowledge graphs -- Logic-based learning algorithms -- Neural-symbolic learning -- Interplay between logic & neural and other learning paradigms (e.g., logics for reasoning about neural networks, embedding of logical reasoning in neural paradigms) -- Statistical relational learning -- Multi-agent learning -- Machine learning for efficient knowledge inference -- Symbolic reinforcement learning -- Learning symbolic abstractions from unstructured data -- Machine-learning-driven reasoning algorithms -- Explainable AI -- Transfer learning -- Multi-agent learning -- Expressive power of learning representations -- Knowledge-driven natural language understanding and dialogue -- Knowledge-driven decision making -- Knowledge-driven intelligent systems for internet of things and cybersecurity -- Application of knowledge-driven ML to question answering and story understanding -- Application of knowledge-driven ML to Robotics --------------------------------------------- Submission Guidelines and Evaluation Criteria --------------------------------------------- The special session emphasizes KR and ML, and welcomes contributions that extend the state of the art at the intersection of KR and ML. Therefore, KR-only or ML-only submissions will not be accepted for evaluation in this special session. Submissions will be rigorously peer reviewed by PC members who are active in KR and ML. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. In this special session, the selection process of the highest quality papers will apply the following criteria: * Importance and novelty of using knowledge representation and reasoning to advance machine learning, or novelty of using machine learning solutions to advance knowledge representation and reasoning. * Applicability of the proposed solutions in real-world. * Reusability of datasets, case studies and benchmarks for systems and/or application papers. * Proved theoretical or empirically demonstrated practical advancement of the proposed solution with respect to baseline pure KR or ML approaches. Details on formatting and submission can be found on the KR21 website. -------------------------------------------------- Remote Participation Due to the Covid-19 Pandemic -------------------------------------------------- We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing authors of accepted papers to present virtually and will work hard to enable the best possible experience for all conference participants. ------ Chairs ------ ?? Vaishak Belle (University of Edinburgh, UK) ?? Luc De Raedt (KU Leuven, Belgium) From publicity at acsos.org Sun Feb 7 04:37:06 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Sun, 7 Feb 2021 10:37:06 +0100 Subject: Connectionists: [Call-for-Workshops-and-Tutorials] ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems In-Reply-To: References: Message-ID: *+*************************************************+* *+**************ACSOS 2021 - Call For Workshops & Tutorials ********+**** * *+*************************************************+* *+* *+* *+*? 2nd IEEE International Conference on *+* *+*? Autonomic Computing & Self-Organizing Systems *+* *+* *+* *+*? 27 September -- 1 October 2021 *+* *+*? Washington, DC, USA *+* *+* *+ + http://2021.acsos.org/ +* *+* https://twitter.com/ACSOSconf *+ ***+* *+** *+++++++++++++++++++++++++++++++++++++++++++++++++++** **+++++++++++++++++++++++++++++++++++++++++++++++++++* https://conf.researchr.org/track/acsos-2021/acsos-2021-workshops-and-tutorials ***************************************************** ***************** Important? Dates******************** ***************************************************** ? - Workshop proposal submission deadline: *February 22nd, 2021* ? - Abstract submission deadline: *April 16th, 2021* ? - Paper submission deadline: *April 23th, 2021* ? - Notification to authors: *June 25th, 2021* ? - Camera ready: *August 13th, 2021* ? - ACSOS Conference: *September 27th -- October 1st, 2021* All times in Anywhere on Earth (AoE) timezone. ***************************************************** ****** About ACSOS2021 Workshops and Tutorials******** ***************************************************** The IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is the premier forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, vision papers, posters, demos, and a doctoral symposium. ACSOS is now seeking proposals for workshops in the areas of autonomous and self-adaptive systems to run alongside the main conference. We seek workshop proposals on a very broad set of topics within these fields, including - Autonomic and Self-* system properties, theory, engineering, and practice - Data-driven management - Mechanisms and principles for self-organisation and self-adaptation - Socio-technical self-* systems - Autonomic and self-* concepts applied to hardware systems - Convergence of artificial intelligence, cloud, and Internet of Things - Self-adaptive cybersecurity - Cross disciplinary research More detail on these topics can be found in the main ACSOS CFP, which is reported below. ---------------------------------------------------------------------------------------- **************************************************** **************** Goals and Mission **************** **************************************************** The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). Emerging large-scale systems (including data centers, cloud computing, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments) are becoming increasingly complex, heterogeneous, and difficult to manage. The challenges of designing, controlling, managing, monitoring, and evolving such complex systems in a principled way led the scientific community to look for inspiration in diverse fields, such as biology, biochemistry, physics, complex systems, control theory, artificial intelligence, and sociology. To address these challenges novel modeling and engineering techniques are needed that help to understand how local behavior and global behavior relate to each other. Such models and practices are a key condition for understanding, controlling, and designing the emergent behavior in autonomic and self-adaptive systems. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, vision papers, posters, demos, and a doctoral symposium. ***************************************************** ********************** Scope************************** ***************************************************** We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: ?* /Autonomic and Self-* system properties/: robustness; resilience; efficient resource management; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness; ?* /Autonomic and Self-* systems theory/: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; languages and formal methods; queuing and control theory; requirement and goal expression techniques; uncertainty as a first class entity; ?* /Autonomic and Self-* systems engineering/: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middlewares; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems; ?* /Autonomic and Self-* systems practice/: case studies from industry, experimental setups and data sets, experience reports with established autonomic and self-* software; ?* /Data-driven management/: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness; ?* /Mechanisms and principles for self-organisation and self-adaptation/: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized system; ?* /Socio-technical self-* systems/: human and social factors; visualization; crowdsourcing and collective awareness; ?* /Autonomic and self-* concepts applied to hardware systems/: self-* materials; self-construction; reconfigurable hardware, self-* properties for quantum computing; ?* /Convergence of artificial intelligence, cloud, and Internet of Things/: moving artificial intelligence to the edge, collective decision processes, in-network learning, distributed reinforcement learning; ?* /Self-adaptive cybersecurity/: intrusion detection, malware attribution, zero-trust networks and blockchain-based approaches, privacy in self-* systems; ?* /Cross disciplinary research/: approaches that draw inspiration from complex systems, artificial intelligence, physics, chemistry, psychology, sociology, biology, and ethology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including (but not limited to): ?* smart environments: -grids, -cities, -homes, and -manufacturing; ?* Internet of things and cyber-physical systems; ?* robotics, autonomous vehicles, and traffic management; ?* cloud (including serverless), fog, edge computing and data centers; ?* hypervisors, containerization services, orchestration, operating systems, and middleware; ?* biological and bio-inspired systems. Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium. **************************************************** ************* **Submission Instructions ************* **************************************************** *Research papers* (/up to 10 pages including images, tables, and references/) should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. *Experience Reports* (/up to 10 pages including images, tables, and references/) cover innovative implementations, novel applications, interesting performance results and experience in applying recent research advance to practical situations on any topics of interest. *Vision Papers* (/up to 6 pages including images, tables, and references/) introduce ground-shaking, provocative, and even controversial ideas; discuss long term perspectives and challenges; focus on overlooked or underrepresented areas, and foster debate. All submissions must indicate a primary and (optionally) a secondary topic area from the following list: ?* /RM/: Resource Manargement in Data Centers and Cloud Computing ?* /CPS/: Cyber-Physical Systems (CPS) and Internet of Things (IoT) ?* /SOSA/: Theory and Practice of Self-Organization, Self-Adaptation, and Organic Computing ?* /ENG/: Software and Systems Engineering for Autonomic and Self-Organizing Systems ?* /SYS/: Systems theory for Autonomic and Self-Organizing Systems ?* /DATA/: Data-Driven Approaches to Autonomic and Self-Organizing Systems Analysis and Management ?* /NEW/: Emerging Computing Paradigms ?* /SOC/: Socio-technical Autonomic and Self-Organizing Systems ?* /LANG/: Languages and Formal Methods for Autonomic and Self-Organizing Systems ?* /COG/: Self-Aware, Reflective, and Cognitive Computing ?* /APP/: Application Areas for Autonomic and Self-Organizing Systems such as Autonomous Vehicles, Smart Cities, Swarms, etc. ?* /REL/: Assurances, security, resilience, and reliability of Autonomic and Self-Organizing Systems ?* /CROSS/: Cross-disciplinary research on e.g., complex systems, control theory, artificial intelligence, chemistry, psychology, sociology, and biology All submissions are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide: . Papers are submitted electronically in PDF format through the ACSOS 2021 conference management system: . Research papers and experience reports will be included in the conference proceedings that will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. Vision papers will be part of a separate proceedings volume (the ACSOS Companion). As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would like to also highlight IEEE?s policies regarding plagiarism and self-plagiarism:. Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. **************************************************** ***************** Review Criteria ***************** **************************************************** */Research papers/* should highlight both theoretical and empirical contributions, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Moreover, research papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, and/or comparison to alternative approaches. */Experience reports/* should provide insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. */Vision Papers/* should introduce innovative, risky, visionary, and provocative ideas, spotlighting overlooked areas, raising controversial points, and exploring cross-disciplinary contaminations. /*All submissions*/ will be rigorously peer-reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality. We intend to continue the tradition of giving the best papers of the conference an opportunity to publish an extended version in a */special issue/* of ACM Transactions on Autonomous and Adaptive Systems (TAAS). The */Karsten Schwan Best Paper Award/* will be awarded to a selected paper. * *************************************************** ******* (NEW!!)**Artifact Evaluation program ******* **************************************************** For the first time, ACSOS introduces an */artifact evaluation program/*. To improve reproducibility of results, /authors of accepted papers/ with a computational component are invited to submit their code and/or their data to an */optional/* artifact evaluation process. A dedicated committee will be in charge of reproducing the results presented in the accepted papers. */Participation in the program is OPTIONAL and does not impact the paper acceptance in any way/*. The best artifacts will be awarded the IEEE ACSOS Best Software Artifact Award. Artifacts that are successfully reproduced will be highlighted in the conference program, and they will feature in the corresponding camera ready paper a badge of reproducibility. For more information, please refer to the ACSOS 2021 call for artifacts . ****************************************************** ****************** Demos & Posters ******************** ****************************************************** Posters provide a forum for authors to present their work in an informal and interactive setting. They allow authors and interested participants to engage in discussions about their work. Demonstration should present an existing tool or research prototype. Authors are expected to perform a live demonstration on their own hardware during the poster and demonstration session. Contributions will be collected in */ACSOS Companion Proceedings/*, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 call for posters and demos . ****************************************************** *************** Workshops & Tutorials ***************** ****************************************************** ACSOS workshops will provide a meeting place for presenting novel ideas in a less formal and possibly more focused way than the conferences themselves. Their aim is to stimulate and facilitate active exchange, interaction, and comparison of approaches, methods, and ideas. Contributions will be collected in */ACSOS Companion Proceedings/*, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 call for workshops and tutorials . ****************************************************** ***************** Doctoral? Symposium ***************** ****************************************************** The Doctoral Symposium provides an international forum for PhD students working in ACSOS-related research fields to present their work to a diverse audience of leading experts in the field, to gain both insightful feedback and discussion points around their research as well as the invaluable experience of presenting new research to an international audience. Contributions will be collected in /*ACSOS Companion Proceedings*/, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 Doctoral Symposium call for participation. ****************************************************** ***** ACSOS in Practice: **Accelerating Convergence *** *** ? ? between Academia & Industry (ACAI) ***** ****************************************************** ACAI at ACSOS features short vision talks and opportunities for researchers to brainstorm potential collaborations. We ask ALL ACAI attendees to submit information about their interests, qualifications and visions for ACAI. Contributions will be collected in /*ACSOS Companion Proceedings*/, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACAI at ACSOS2021 call for papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Sun Feb 7 16:27:02 2021 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sun, 7 Feb 2021 22:27:02 +0100 Subject: Connectionists: [CFP] IJCNN Special Session on "Algorithms of Machine Learning and Artificial Intelligence Applied for Biomedical Data Processing" Message-ID: <02675eee-7950-665f-c65d-938802d0f7ad@ai.univ-paris8.fr> [Apologies if you got multiple copies of this invitation] *IJCNN Special Session on* *Algorithms of Machine Learning and Artificial Intelligence Applied for Biomedical Data Processing* *IEEE International Joint Conference on Neural Networks (IJCNN) * July 18-22, 2021, Shenzhen, China (Virtual Event) *Scope and Aim* Biomedical data processing involves the treatment of the physiological electrical activities measured using sensors placed on a living thing and also the medical imaging, allowing to provide useful process for abnormality detection and diagnosis purposes. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have received a great attention to solve difficult and complex problems related to biosignal and medical image processing; where the traditional signal/image processing algorithms and conventional machine learning techniques have shown their limitations to solve such problems. Indeed, the recent advances in this area have brought an impressive progress to solve several practical and difficult problems in many fields including medicine, healthcare, e-health, neuroscience, brain-computer interface (BCI), neurofeedback, robotics, robotic exoskeletons and biometrics, etc. In this context, the advanced artificial learning and ML techniques such as deep learning, reinforcement learning, deep reinforcement learning, statistical learning have shown their effectiveness to resolve various problems of detection, classification, clustering, segmentation, control, diagnosis, etc.; and thus, becomes useful solutions to be investigated more for other open problems. The aim of this special session is to bring together researchers and scientists in the fields of biomedical signal and image processing, AI and ML, to present and discuss the recent advances on artificial learning/ML algorithms and methods applied for biomedical data processing. *Topics* The main topics that are of interest to this special session include, but are not limited to: * AI for biomedical signal and medical image processing * ML for biomedical signal and medical image processing * Feature engineering for ML applied for biomedical signal and medical image processing * Advanced algorithms of ML for biomedical data processing (e.g., deep learning, reinforcement learning, deep reinforcement learning, statistical learning...) * Biomedical data processing in Big Data * Advanced biomedical data processing methods with application in medicine, healthcare, e-health, neuroscience, BCI, neurofeedback, robotics, robotic exoskeletons, biometrics, etc. * Related applications *Important Dates* * Paper submission: *January 15, 2021* (Extended to *February 10, 2021*) * Decision notifications: *April 10, 2021* * Camera-ready submission of accepted papers: *April 25, 2021* * Conference: *July 18-22, 2021 *(Virtual Event) *Submission Guidelines* * Guidelines for paper submission: https://www.ijcnn.org/paper-submission-2021 * Submission link: https://ieee-cis.org/conferences/ijcnn2021/upload.php * To submit your paper to this special session, you will choose our special session *?S15. Algorithms of Machine Learning and Artificial Intelligence Applied for Biomedical Data Processing?*on the submission page https://ieee-cis.org/conferences/ijcnn2021/upload.php *Journal Special Issue* A selection of accepted papers will be invited for publication in a special issue of a SCOPUS indexed journal (to be announced). *Organizers* *Larbi Boubchir *(Lead Organizer) /Associate Professor, LIASD research Lab., Department of Computer Science & Artificial Intelligence, University of Paris 8, France / *Boubaker Daachi *(Co-organizer) /Full Professor, LIASD research Lab., Department of Computer Science& Artificial Intelligence, University of Paris 8, France / *Contact and information*** Web page: http://www.ai.univ-paris8.fr/~boubchir/SS/ss-ijcnn2021.html Larbi Boubchir : larbi.boubchir@ univ-paris8.fr -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor-HDR LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From urakubo at nips.ac.jp Sun Feb 7 22:09:29 2021 From: urakubo at nips.ac.jp (Hidetoshi URAKUBO) Date: Mon, 8 Feb 2021 12:09:29 +0900 Subject: Connectionists: Postdoctoral positions at NIPS in Japan: Computer simulation of synaptic biochemical signaling Message-ID: Dear Connectionists: We invite applications for a postdoctoral researcher in the area of mathematical/computational modeling of biochemical signaling in neuronal synapses. Based on a grant (#), A new collaborative project with Kyoto U and Nagoya U has been launched for the modeling of liquid-liquid phase separation (LLPS) of synaptic molecules. The successful candidate will develop computational/theoretical models that describe the LLPS and simulate the spatiotemporal dynamics of synaptic biochemical signaling, to elucidate how our learning and memory are organized. We are expecting a researcher who will conduct Monte Carlo simulation under the scheme of the Flory-Huggins (FH) theory, as well as the reaction-diffusion simulation of biochemical molecules. (#) Spatiotemporal dynamics of intracellular components, CREST, Japan Science and Technology Agency (JST), Japan. https://www.jst.go.jp/kisoken/crest//en/research_area/ongoing/area2020-1.html We are also conducting a long-standing project on electron microscopic (EM) connectomics. We will welcome the applicants who can contribute to this project from the informatics aspect. National Institute for physiological science (NIPS) is a high-quality national institute for neuroscience in Japan, like Riken CBS. NIPS is located in Aichi prefecture, the middle part of Japan. https://www.nips.ac.jp/eng/ https://en.wikipedia.org/wiki/Aichi_Prefecture http://www2.aia.pref.aichi.jp/tope/foreigner.html Please feel free to ask questions about this research position to Hidetoshi Urakubo (urakubo at nips.ac.jp). 1. Job title Full-time Postdoctral Researcher 2. Begin date April 1st 2021 (negotiable) 3. Appointment period Annually renewed based on evaluation. Up to Sep/2025. 4. Workplace NIPS, Okazaki, Japan http://www.nips.ac.jp/circuit/ 5-1 Myodaiji-Higashiyama, Okazaki, Aichi, 444-8787, Japan 5. Qualifications Applicants must: - have Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. 6. Compensation Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include public holidays, New Year's holidays (Dec. 29 - Jan 3), summer vacation, and sick leave. These and other provisions are in accordance with NIPS regulations. Please inquire it with your CV if the salary information is needed at the early stage of selection. 7. Required documents Please send the following five materials to the email address below: 7-1. Complete CV 7-2. List of publications 7-3. Reprints of 1 to 3 major publications 7-4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research - Technical skills (programming skills, etc) 7-5. Two letters of recommendation (including one from the current supervisor, if available) 8. Deadline February 28 (Sun), 2021 (will be extended) 9. Selection Selection will be made based on application screening and interviews. 10. Application and Contact Hidetoshi Urakubo, Ph.D. Email: urakubo at nips.ac.jp Project Assistant Professor, Division of Cerebral Circuitry, Department of Fundamental Neuroscience, National Institute for Physiological Sciences (NIPS), 5-1 Myodaiji-Higashiyama, Okazaki, Aichi, 444-8787, Japan Phone: +81-564-59-5280 https://researchmap.jp/urakubo?lang=en http://www.nips.ac.jp/circuit/ From pubconference at gmail.com Sun Feb 7 23:43:22 2021 From: pubconference at gmail.com (Pub Conference) Date: Sun, 7 Feb 2021 23:43:22 -0500 Subject: Connectionists: CFP: ICACI 2021 with the SCI Journals' Special Issues Publication Opportunities Message-ID: The 13th International Conference on Advanced Computing Intelligence (ICACI 2021) will be held in Chongqing-Wanzhou from May 14-16, 2021. The paper submission deadline has been extended to February 10, 2021. The excellent papers will be recommended to SCI journals for publication, such as Knowledge-Based Systems, Neurocomputing, Computational Intelligence and Neuroscience, Sensors. Conference website is: https://icaci2021.sanxiau.edu.cn/ Paper submission website is: https://easychair.org/account/signin?l=JUnQx1U8suTXI3Y2djiMiJ# Both full paper or abstract will be accepted by ICACI 2021. The abstract can be expanded to full paper and is also welcome to submit to the special issues! SCI Journal Special Issue 1: Knowledge-Based Systems (IF 5.921). CFP? https://www.journals.elsevier.com/knowledge-based-systems/call-for-papers/robust-explainable-and-privacy-preserving-deep-learning SCI Journal Special Issue 2: Neurocomputing (IF 4.438). CFP? https://www.journals.elsevier.com/neurocomputing/call-for-papers/distributed-machine-learning-optimization-and-applications SCI Journal Special Issue 3: Sensors (IF 3.275). CFP: https://www.mdpi.com/journal/sensors/special_issues/smartIoT2021 SCI Journal Special Issue 4: Computational Intelligence and Neuroscience (IF 2.284) - Special Issue #1, CFP? https://www.hindawi.com/journals/cin/si/907935/ - Special Issue #2, CFP?https://www.hindawi.com/journals/cin/si/575069/ Virus-free. www.avg.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Feb 8 05:18:38 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 8 Feb 2021 12:18:38 +0200 Subject: Connectionists: =?utf-8?q?Live_e-lecture_by_Prof=2E_Efstratios_Ga?= =?utf-8?q?vves=3A_=E2=80=98The_Machine_Learning_of_Time=3A_Past_an?= =?utf-8?q?d_Future=E2=80=99=2C_9th_February_2021_17=3A00-18=3A00_C?= =?utf-8?q?ET=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <01bd01d6f898$ea97c260$bfc74720$@csd.auth.gr> <00c501d6f89e$c188d660$449a8320$@csd.auth.gr> Message-ID: <030001d6fe03$c50144c0$4f03ce40$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Efstratios Gavves (University of Amsterdam, Netherlands), a prominent young AI researcher internationally, will deliver the e-lecture: ?The Machine Learning of Time: Past and Future?, on Tuesday 9th February 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/93863728654 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media and Vision and Humane AI Net currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Pietro Perona, ?Measuring algorithmic bias in face analysis ? towards an experimental approach?, 23rd February 2021 17:00 ? 18:00 CET. 2. Prof. Bj?rn Schuller: ?There will be Artificial Emotional Intelligence?, 9th March 2021 17:00 ? 18:00 CET 3. Prof. Andreas Geiger, ?Towards Robust End-to-End Driving?, 23rd March 2021 17:00 ? 18:00 CET More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the CVML email list. Best regards Profs. I. Pitas, N. Sebe, B. O?Sullivan, M. Chetouani AIDA AI Excellence lecture series committee -- 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 verena.arndt at fu-berlin.de Mon Feb 8 05:55:32 2021 From: verena.arndt at fu-berlin.de (Verena Arndt) Date: Mon, 8 Feb 2021 11:55:32 +0100 Subject: Connectionists: =?utf-8?q?Correction=3A_Postdoctoral_and_doctoral?= =?utf-8?q?_positions_at_Freie_Universit=C3=A4t_Berlin?= Message-ID: Several postdoctoral and doctoral positions in cognitive neurocomputational modelling are available at the Freie Universit?t Berlin, research group on Neuroscience of language and pragmatics, in the context of a new ERC funded Advanced Grant on the Material Constraints Enabling Human Cognition, MatCo. The application deadline is 15.2.2021. Please find the job advert and more information on our website: https://www.geisteswissenschaften.fu-berlin.de/v/brainlang/jobs/index.html . Kind regards Verena Arndt Sekretariat Prof. Dr. Dr. Pulverm?ller FU Berlin, FB Philosophie und Geisteswissenschaften, WE4 Labor f?r Gehirn- und Sprachforschung Leitung: Prof. Dr. Dr. Pulverm?ller http://brainlang.fu-berlin.de/ Habelschwerdter Allee 45 14195 Berlin Tel. 030-83858140 Fax 030-838458140 verena.arndt at fu-berlin.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Feb 8 06:32:35 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 8 Feb 2021 12:32:35 +0100 Subject: Connectionists: FREE DOWNLOAD OF COMPLEX NETWORKS 2020 PROCEEDINGS Message-ID: Dear, We are delighted to inform you that the proceedings of COMPLEX NETWORKS 2020 are available *for free* *during two weeks*. You can *download* the two volumes from the home page of the conference website: https://www.complexnetworks.org/ The two volumes contain *112 papers*. We wish you a pleasant lecture. *Feel free to disseminate.* Best regards Hocine Cherifi Join us at COMPLEX NETWORKS 2020 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Feb 8 14:18:40 2021 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 8 Feb 2021 20:18:40 +0100 Subject: Connectionists: Call for SDM21 Doctoral Student Forum Participants and Student Travel Scholarship Applications Message-ID: *Doctoral Student Forum Participants and Student Travel Scholarship Applications* ? The SDM Doctoral Forum is a unique opportunity for PhD students in data science (including data mining, machine learning, databases, and pattern recognition) to present their doctoral dissertation in poster format and get feedback from SDM participants and senior leaders in the field. The SDM doctoral forum will be held in a plenary poster session alongside posters from the main conference, allowing for an interesting cross fertilization of ideas. Past participants have benefited significantly from this plenary session. ? *Applications to the Doctoral Forum at the 2021 SIAM International Conference on Data Mining (SDM21)* We invite doctoral students in data science (including data mining, machine learning, databases, and pattern recognition) to present their doctoral dissertation (including ongoing and future work) in poster format at the Doctoral Forum of the 2021 SIAM International Conference on Data Mining (SDM21), which will be held virtually April 29-May 1, 2021. The forum is held in a virtual plenary poster session alongside posters from the main conference, allowing for an interesting cross fertilization of ideas. The forum is a unique opportunity for PhD students to get feedback from SDM participants and senior leaders in the field. It is also an exciting opportunity for networking and creating future collaborations. Past participants have benefited significantly from this plenary session. An award will be given to the best poster presentation. In addition to the poster session, there will be a mentorship panel with senior leaders in the field, which will provide perspectives and tips for graduate studies and what comes after graduation. ? *Key Dates* ? ? Application deadline: March 15, 2021 ? ? Notification deadline: March 29, 2021 ? ? Doctoral Forum: as part of SDM?21, April 29-May 1, 2021 (exact day TBA). ? *Application* Please apply by filling the application form at https://forms.gle/3njnGJaWkm11DQWN8. We welcome submissions both from senior doctoral students who have a more concrete idea of their dissertation, as well as junior doctoral students who may not have a full plan for their dissertation yet but have a direction and can benefit from the feedback by the forum participants. ? *Travel support* Limited support for students at U.S.-based institutions who are accepted to the Doctoral Forum is available thanks to a NSF grant. See the application form for details. Additional travel support for students to attend SDM21, independent from their location and whether they attend the Doctoral forum, is available from SIAM, in the form of Student Travel Awards. ? *Contacts* For additional information, please write to the Doctoral Forum Co-chairs: Joyce Ho, Emory University (joyce.c.ho at emory.edu) and Vagelis Papalexakis, University of California, Riverside (epapalex at cs.ucr.edu) From marcin at amu.edu.pl Mon Feb 8 15:34:25 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 8 Feb 2021 21:34:25 +0100 Subject: Connectionists: CFC: Sustainable Smart Cities: Theoretical Foundations and Practical Considerations -- Springer Volume -- extended deadline -- no publication fee In-Reply-To: References: Message-ID: Call for contributions ? edited volume -- extended deadline Sustainable Smart Cities: Theoretical Foundations and Practical Considerations Volume Editors: Pradeep Kumar Singh, Marcin Paprzycki, Mohammad Essaaidi, Shahram Rahimi Book Series: Studies in Computational Intelligence -- Springer The prime objective of the book is to explore the current areas of research and development, and challenges to be faced in different areas, as related to making cities smart. We are particularly interested in, real-world-grounded, solutions facilitated from the technology and computing perspectives. However, we are also open to, technology oriented, considerations related to the social aspects of development of smart cities of the future. It can be easily observed that (i) Internet of things (IoT),(ii) cloud, fog/edge computing,(iii) data science-based solutions,(iv) 5G and other networking technologies,(v) distributed ledger/blockchain & security, as well as (vi) artificial intelligence & machine learning, are the key technologies for smart cities. All of them are parts of integrated approaches and they have been used to deliver smart city applications like: intelligent traffic monitoring, innovative solutions for city monitoring (including video surveillance), smart homes and office buildings, smart parking, etc. In addition, smart transportation, smart energy solutions, disaster management, and smart healthcare have been identified as some of the key requirements for future cities to be seen as smart. Numbers of unique sustainable solutions have been proposed by researchers working in the area of data science, to fulfill the dream of the smart city. However, up to now, proposed approaches are, much too often, just academic ideas, published in journals and conference proceedings. A lot more work is needed to be able to make these ideas a reality. This is also why we propose this book as a way to bring together ideas and possible ways of realizing them. Moreover, smart cities cannot be created without the involvement of all the stakeholders of the city, namely, local community, government, NGOs, academia and industry. They have to understand technology and on the basis of such understanding, jointly, formulate reasonable plans for ?smartifying? their city. Note also that each city may have different hierarchy of needs that should be addressed. This is why we invite also reflection on how to involve all the city?s stakeholders to jointly work to make their city smart for the citizens. We are inviting chapters addressing topics from any of the six major areas. Contributions in the form of research articles, reviews, taxonomies, lists of solved and unsolved problems, findings of special interest in the context of smart city technologies, and social aspects of their realization. * Social aspects of making city smart * 5G and other networking technologies for smart cities * Data science and business analytics for smart cities * IoT, edge/ fog and cloud for smart cities * Distributed ledger / blockchain and security solutions for smart cities * Artificial intelligence and machine learning for smart cities Deadlines: Full Chapter Submission: 15 March, 2021 Acceptance: 15 April, 2021 Tentative Publication: June, 2021 Submissions (Easy Chair Only): https://easychair.org/conferences/?conf=smartcities2021 Contacts: Pradeep Kumar Singh (pradeep_84cs at yahoo.com) Marcin Paprzycki (marcin.paprzycki at ibspan.waw.pl) Additional information: * There is no explicit limit on the length of the contribution. * Comprehensive state-of-the-art review is expected and required. * The similarity index must be below 20% from all sources. * There is NO PUBLICATION FEE at any stage of the process. * Appropriate Springer Template (for the Studies in Computational Intelligence series) must be used. Use of LaTeX is strongly encouraged. * Contributors are responsible for delivery of material written in high quality English, error free, formatted according to the required specification. Texts formatted using different templates, full for spelling/grammar errors, written in incomprehensible English, will be rejected without review. -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From asherman at oxy.edu Mon Feb 8 15:54:14 2021 From: asherman at oxy.edu (Aleksandra Sherman) Date: Mon, 8 Feb 2021 12:54:14 -0800 Subject: Connectionists: Tenure track Assistant Professor in Cognitive Science at Occidental College Message-ID: Dear Colleagues, We are excited to share that we are hiring a tenure track assistant professor in the cognitive science department at Occidental College. The job announcement is below. Please share with anyone you think might be interested and please direct any questions to me! *With apologies for cross-listing. Best, Sasha ---------- Occidental College invites applications for a tenure-track appointment at the rank of Assistant Professor in Cognitive Science. We seek someone whose research uses cognitive neuroscience, empirical, and/or computational approaches to study cognition, broadly construed. Potential research areas within cognitive science include but are not limited to linguistics, cognitive anthropology, higher order cognition, cultural cognition, and embodied cognition. Candidates must be committed to outstanding teaching and productive scholarly activity. The successful applicant will teach courses in cognitive science, contribute to teaching in our core program, and must meaningfully engage a diverse group of undergraduates in their research. Candidates must have a Ph.D. by the start date of August 2021. Occidental College is a national liberal arts college recognized for its diverse student body, its commitment to academic excellence and equity, and its undergraduate research programs. The mission of Occidental College is to provide a gifted and diverse group of students with a total educational experience of the highest quality?one that prepares them for leadership in an increasingly complex, interdependent and pluralistic world. The distinctive interdisciplinary and multicultural focus of the College's academic program seeks to foster both the fulfillment of individual aspirations and a deeply rooted commitment to the public good. Applications should be submitted to cogs_search at oxy.edu, and must include the following: - a letter of interest explicitly addressing your commitment to interdisciplinarity and to academic excellence in a diverse liberal arts environment; - a statement of teaching philosophy that includes a discussion of your demonstrated commitment to, past evidence of, and future plans for creating equitable opportunities for learning and mentoring, especially for underrepresented students; - evidence of teaching effectiveness, including teaching evaluations (if available); - a research statement describing the research you would conduct at Occidental and how you plan to involve a diverse group of Occidental undergraduates in this research; - a curriculum vitae; - samples of scholarly work; and - three letters of recommendation, with at least one discussing the candidate?s teaching ability or potential. Please ensure that those named as references send their confidential recommendations to the address above. Review of all materials (pdf format preferred) will begin on March 1, 2021. Late applications will be considered until the position is filled. Occidental College is an Equal Opportunity Employer and does not unlawfully discriminate against employees or applicants on the basis of race, color, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, breastfeeding or related medical condition, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, genetic characteristic or information, military and veteran status, or any other characteristic protected by State or Federal Law. We strongly encourage all underrepresented candidates, especially women and underrepresented persons of color, to apply. -- *Aleksandra Sherman, PhD *| Associate Professor, Department Chair *Department of Cognitive Science*asherman at oxy.edu| T 323-259-2786 *OXY* *Occidental College*1600 Campus Road | Los Angeles, California 90041-3314 *Pronouns: She/Her/Hers* * Occidental College occupies the ancestral, traditional, and contemporary Lands of the Kizh/Gabrielino/Tongva people. [what is land acknowledgement? ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Tue Feb 9 05:10:17 2021 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Tue, 9 Feb 2021 10:10:17 +0000 Subject: Connectionists: ESANN 2021 call for papers Message-ID: ESANN 2021 - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 6-7-8 October 2021 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 10, 2021. 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, 7 special sessions will be organized on the following topics: - Anomaly and change point detection in geometric and non vector data - Complex Data: Learning Trustworthily, Automatically, and with Guarantees - Federated Learning - Methods, Applications and Beyond - Deep learning for graphs - Interpretable Models in Machine Learning and Explainable Artificial Intelligence - Machine Learning for Measuring and Analyzing Online Social Communications - Machine learning and data mining for urban mobility intelligence ESANN 2021 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. The 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. We hope that October 2021 will be the right time to organize a physical conference again, after the Covid-19 pandemic; current forecasts are optimistic for events organized after the summer 2021. 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 2021 and to see you in Bruges! ======================================================== 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 yokoya at k.u-tokyo.ac.jp Tue Feb 9 06:39:44 2021 From: yokoya at k.u-tokyo.ac.jp (Naoto Yokoya) Date: Tue, 9 Feb 2021 20:39:44 +0900 Subject: Connectionists: [Conferences] EARTHVISION 2021 @ CVPR - Call for Papers Message-ID: Apologies for cross-posting ******************************* CALL FOR PARTICIPANTS & PAPERS *EarthVision 2021 - Large Scale Computer Vision for Remote Sensing Imagery Workshopin conjunction with CVPR 2021, June 2021, virtual.* Website: https://www.grss-ieee.org/earthvision2021/ *AIMS AND SCOPE* Earth Observation (EO)/Remote Sensing is an ever-growing field of investigation where computer vision, machine learning, and signal/image processing meet. The general objective is to provide large-scale, homogeneous information about processes occurring at the surface of the Earth exploiting data collected by airborne and spaceborne sensors. Earth Observation implies the need for multiple inference tasks, ranging from detection to registration, data mining, multi-sensor, multi-resolution, multi-temporal, and multi-modality fusion, and regression, to name just a few. It comprises ample applications like location-based services, online mapping services, large-scale surveillance, 3D urban modelling, navigation systems, natural hazard forecast and response, climate change monitoring, virtual habitat modelling, etc. The sheer amount of data calls for highly automated scene interpretation workflows. This workshop, held for its fifth edition at the CVPR 2021, aims at fostering collaboration between the computer vision as well as machine learning disciplines and the remote sensing community to boost automated interpretation of EO data. EarthVision will additionally help build cooperation within the CVPR community for this highly challenging and quickly evolving field that has a big impact on human society, economy, industry, and the planet. We invite contributions in the fields of (not exhaustive list): - Super-resolution in the spectral and spatial domain - Hyperspectral and multispectral image processing - 3D reconstruction from aerial images - Feature extraction and learning - Semantic classification of UAV / aerial and satellite images and videos - Deep learning tailored for Earth Observation - Domain adaptation and concept drift - Human-in-the-loop - Multi-resolution, multi-temporal, multi-sensor, multi-modal processing - Public benchmark data sets: Training data standards, testing & evaluation metrics, as well as open source research and development. *IMPORTANT DATES* Full paper submission: *March 7, 2021* Notification of acceptance: April 7, 2021 Camera-ready paper: April 14, 2021 Workshop (full day): June 2021 *SUBMISSION GUIDELINES* A complete paper should be submitted using the EarthVision templates provided on the workshop website. The paper length must not exceed 8 pages (excluding references) and formatting follows CVPR 2021 instructions. All manuscripts will be subject to a double-blind review process, i.e. authors must not identify themselves on the submitted papers. Papers are to be submitted using the dedicated submission platform on the Workshop website (https://www.grss-ieee.org/earthvision2021/submission.html). By submitting a manuscript, the authors guarantee that it has not been previously published or accepted for publication in a substantially similar form. CVPR rules regarding plagiarism, double submission, etc. apply. *WORKSHOP ORGANIZERS* - Ronny H?nsch, German Aerospace Center, Germany - Devis Tuia, EPFL, Switzerland - Jan Dirk Wegner, University of Zurich & ETH Zurich, Switzerland - Bertrand Le Saux, ESA/ESRIN, Italy - Naoto Yokoya, Uni. of Tokyo & RIKEN, Japan - Nathan Jacobs, Uni. of Kentucky, USA - Fabio Pacifici, Maxar, USA - Mariko Burgin, NASA JPL, USA - Lo?c Landrieu, IGN, France - Charlotte Pelletier, UBS Vannes, France - Maryam Rahnemoonfar, University of Maryland, USA *CHALLENGE* EarthVision 2021 will again feature interesting challenges addressing modern problems of Remote Sensing and Earth Observation. Stay tuned for detail! *SPONSORING* The event is co-organized by the Image Analysis and Data Fusion Technical Committee of the IEEE-GRSS, and it is sponsored by Gold sponsors: ESA (http://www.esa.int/), the CosmiQ Works team of IQT Labs (http://www.cosmiqworks.org/), Apple (www.apple.com), Bronze sponsors: Kitware (https://www.kitware.com/). Website: https://www.grss-ieee.org/earthvision2021/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Tue Feb 9 05:33:30 2021 From: luca.oneto at unige.it (Luca Oneto) Date: Tue, 9 Feb 2021 11:33:30 +0100 Subject: Connectionists: ESANN 2021 SS CFP - Complex Data: Learning Trustworthily, Automatically, and with Guarantees Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Complex Data: Learning Trustworthily, Automatically, and with Guarantees" at ESANN 2021 - https://www.esann.org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021). 6-8 October 2021, Bruges, Belgium - http://www.esann.org DESCRIPTION: Machine Learning (ML) achievements enabled automatic extraction of actionable information from data in a wide range of decision-making scenarios (e.g. health care, cybersecurity, and education). ML models are nowadays ubiquitous pushing even further the process of digitalization and datafication of the real and digital world producing more and more complex and interrelated data. This demands for improving both ML technical aspects (e.g. design and automation) and human-related metrics (e.g. fairness, robustness, privacy, and explainability), with performance guarantees at both levels. The aforementioned scenario posed three main challenges: (i) Learning from Complex Data (i.e. sequence, tree and graph data), (ii) Learning Trustworthily, and (iii) Learning Automatically with Guarantees. The scope of this special session is then to address one or more of these challenges with the final goal of Learning Trustworthily, Automatically, and with Guarantees from Complex Data. The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of machine learning and other fields of research in solving real world problems. Both theoretical and practical results are welcome to our special session. TOPICS OF INTEREST: - efficient and effective models capable of directly learning from data natively structured or collected from interrelated heterogeneous sources (e.g. social and relational data, knowledge graphs), characterized by entities, attributes, and relationships, without relying on human skills to encode this complexity into a rich and expressive (vectorial) representation; - design ML models from a human-centered perspective, making ML trustworthy by design, by removing human biases from the data (e.g. gender discrimination), increasing robustness (e.g. to adversarial data perturbation), preserving individuals? privacy (e.g. protecting ML models from differential attacks), and increasing transparency (e.g. via ML models and output explanation); - automatizing the ML design and deployment parts which are currently handcrafted by highly skilled and trained specialists. For this reason, ML is required to be empowered with self-tuning properties (e.g. architecture and hyperparameter automatic selection), understanding and guaranteeing the final performance (e.g. with worst case and statistical bounds) with respect to both technical and human relevant metrics. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 10 May 2021 Notification of acceptance: 20 July 2019 ESANN conference: 6-8 April 2019 SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa (Italy) Nicol? Navarin, University of Padua (Italy) Battista Biggio, University of Cagliari (Italy) Federico Errica, University of Pisa (Italy) Alessio Micheli, University of Pisa (Italy) Franco Scarselli, University of Siena (Italy) Monica Bianchini, University of Siena (Italy) Alessandro Sperduti, University of Padua (Italy) ---------------------------------------- Prof. Luca Oneto DIBRIS - University of Genoa web: www.lucaoneto.it e-mail: luca.oneto at unige.it ---------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From thanh.dinhvan at gmail.com Tue Feb 9 08:17:06 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Tue, 9 Feb 2021 20:17:06 +0700 Subject: Connectionists: Call for Papers: Special Session on KR & Robotics (KR2021) Message-ID: <88568a07-cd1b-79a2-0f78-065ad6c7d310@gmail.com> CALL FOR PAPERS **Special Session on Knowledge Representation and Robotics** at the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de/ ------------------ Important Dates ------------------ Submission of title and abstract:???????? March 24, 2021 Paper submission deadline:???????????????? March 31, 2021 Author response period:???????????????? May 24-26, 2021 Notification:???????????????????????????????? June 15, 2021 Camera-ready papers:???????????????????????? July 14, 2021 Conference dates:???????????????????????? November 6-12, 2021 ------------------ Much progress has been made in robotics through the introduction of machine learning, often leading to autonomous systems that are effective but opaque with inexplicable behaviours. Many applications, however, require robots to explicitly capture knowledge and reason with it in order to achieve high-level cognitive skills. This special session is devoted to exploring the intersection of Knowledge Representation and Robotics. Papers are solicited in all areas of this intersection.? In particular, we welcome papers that extend knowledge representation techniques to cope with the challenges posed by interacting with the physical world, such as: - dealing with uncertain, incomplete or contradictory information; - reasoning with time, space and perceptions; - grounding representations in the physical world; - combining discrete and continuous representations; - reasoning with bounded computational resources; - trustworthy and accountable robot behaviours; and - social intelligence for robots in human-centric environments. Robots are the archetypical integrated cognitive systems.? Thus, we also welcome papers that address the integration of knowledge representation into whole robotic systems, such as: - integrating knowledge representation and machine learning; - integrating symbolic and sub-symbolic approaches; - integrating reasoning about actions and control; or - cognitive robot architectures. Finally, we welcome papers that show concrete examples where real robotic systems benefit from knowledge representation, for instance in: - sensor interpretation and understanding; - human-robot interaction; - multi-robot planning and coordination; or - dealing with errors and unexpected situations. ------------------ Information for Authors ------------------ The Special Session on KR & Robotics will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the instructions on the KR2021 website. The special session emphasizes KR & Robotics, and welcomes contributions that extend the state of the art at the intersection of KR & Robotics. Therefore, KR-only or Robotics-only submissions will not be accepted for evaluation in this special session. Submissions will be rigorously peer reviewed by PC members who are active in KR & Robotics.? Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. ------------------ Remote Participation Due to the Covid-19 Pandemic ------------------ We understand that the global public health situation may make it difficult or impossible for some, if not all, participants to travel to Hanoi. For this reason, we commit to allowing authors of accepted papers to present virtually and will work hard to enable the best possible experience for all conference participants. ------------------ Chairs ------------------ Alessandro Saffiotti (University of Orebro, Sweden) Mary-Anne Williams (University of New South Wales, Australia) ------------------ From ludovico.montalcini at gmail.com Tue Feb 9 06:33:47 2021 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 9 Feb 2021 12:33:47 +0100 Subject: Connectionists: =?utf-8?q?=23ACDL2021=2C_4th_Advanced_Online_=26_?= =?utf-8?q?Onsite_Course_on_Data_Science_=26_Machine_Learning_=7C_J?= =?utf-8?q?uly_19-23=2C_2021_=7C_Certosa_di_Pontignano=2C_Siena_?= =?utf-8?b?4oCTIFR1c2NhbnksIEl0YWx5?= Message-ID: #ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders ACDL 2021 ? A Unique Experience: #DataScience, #MachineLearning & #ArtificialIntelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano (Online attendance available) Certosa di Pontignano, Siena - #Tuscany, Italy July 19-23 https://acdl2021.icas.cc acdl at icas.cc ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse https://acdl2021.icas.cc/acdl-2021-as-acdl-2020-an-online-onsite-course/ REGISTRATION: Early Registration: by Monday February 15, 2021 (GMT+01) https://acdl2021.icas.cc/registration/ DEADLINES: o Early Registration: by Monday February 15, 2021 (GMT+01) o Oral/Poster Presentation Submission Deadline: Monday February 15, 2021 (GMT+01) o Late Registration: from Tuesday February 16, 2021 o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021 o Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021 ACDL 2021 LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Pierre Baldi, University of California Irvine, USA * Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation * Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh * Silvia Chiappa, DeepMind, London, UK * Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI * Marco Gori, University of Siena, Italy * Georg Gottlob, Computer Science Dept, University of Oxford, UK * Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK * Panos Pardalos, University of Florida, USA * Daniela Rus, MIT, USA) Director of CSAIL (TBC) * Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence * Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA * Naftali Tishby, Hebrew University, Israel * Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, T?bingen, * Germany * Mihaela van der Schaar, University of Cambridge, UK More Keynote Speakers to be announced soon. ACDL 2021 TUTORIAL SPEAKERS: * Roman Belavkin, Middlesex University London, UK * Mart?n G?mez Ravetti, Federal University of Minas Gerais, Brazil More Tutorial Speakers to be announced soon. PAST LECTURERS: https://acdl2021.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Giuseppe Di Fatta, University of Reading, UK * Marco Gori, University of Siena, Italy * Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute * Phillip Isola, MIT, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Risto Miikkulainen, University of Texas at Austin, USA * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT?s Human Dynamics Laboratory, USA * Jos? C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Mihaela van der Schaar, University of Cambridge * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK SCOPE: MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE: The venue of ACDL 2021 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi 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 A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2021.icas.cc/venue/ ACCOMMODATION: https://acdl2021.icas.cc/accommodation/ PAST EDITIONS https://acdl2021.icas.cc/past-editions/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ REGISTRATION: https://acdl2021.icas.cc/registration/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. Anyone interested in participating in ACDL 2021 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in 3D or 2D :) in Tuscany next July! ACDL 2021 Organizing Committee. acdl at icas.cc https://acdl2021.icas.cc https://acdl2021.icas.cc/category/news/ https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Tue Feb 9 09:59:21 2021 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Tue, 09 Feb 2021 15:59:21 +0100 Subject: Connectionists: 5th CfP: ACM SACMAT 2021 - Symposium of Access Control Models and Technologies Message-ID: <3b4874e48213be02e4fbc57a176eebcc@iit.cnr.it> Apologies for cross-posting Less than one week for paper submission! ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 June 16-18, 2021, Barcelona, Spain http://sacmat.dista.uninsubria.it/2021/about.php ---------------------------------------------------------- Important dates ---------------------------------------------------------- * Paper submission: February 15, 2021 (11:59 pm AOE) * Rebuttal: March 30 - April 2nd, 2021 * Notifications: April 15th, 2021 * Systems demo and Poster submissions: April 19th, 2021 * Systems demo and Poster notifications: April 27th, 2021 * Panel Proposal: TBD * Camera ready: May 4th, 2021 * Conference date: June 16 ? June 18, 2021 * Call for Research Papers Papers offering novel research contributions are solicited for submission. Accepted papers will be presented at the symposium and published by the ACM in the symposium proceedings. In addition to the regular research track, this year SACMAT will again host the special track -- "Blue Sky/Vision Track". Researchers are invited to submit papers describing promising new ideas and challenges of interest to the community as well as access control needs emerging from other fields. We are particularly looking for potentially disruptive and new ideas which can shape the research agenda for the next 10 years. We also encourage submissions to the newly introduced ?Work-in-progress Track? to present ideas that may have not been completely developed and experimentally evaluated. Topics of Interest Submissions to the regular track covering any relevant area of access control and computer security are welcomed. Areas of interest include, but are not limited to, the following: Systems: * Operating systems * Cloud systems and their security * Distributed systems * Fog and Edge-computing systems * Cyber-physical and Embedded systems * Mobile systems * Autonomous systems (e.g., UAV security, autonomous vehicles, ) * IoT systems (e.g., home-automation systems) * WWW Network: * Network systems (e.g., Software-defined network, Network function virtualization) * Corporate and Military-grade Networks * Wireless and Cellular Networks * Opportunistic Network (e.g., delay-tolerant network, P2P) * Overlay Network * Satellite Network Privacy and Privacy-enhancing Technologies: * Mixers and Mixnets * Anonymous protocols (e.g., Tor) * Online social networks (OSN) * Anonymous communication and censorship resistance * Access control and identity management with privacy * Cryptographic tools for privacy * Data protection technologies * Attacks on Privacy and their defenses Authentication: * Password-based Authentication * Biometric-based Authentication * Location-based Authentication * Identity management * Usable authentication Mechanisms: * Blockchain Technologies * AI/ML Technologies * Cryptographic Technologies * Programming-language based Technologies * Hardware-security Technologies (e.g., Intel SGX, ARM TrustZone) * Economic models and game theory * Trust Management * Usable mechanisms Data Security: * Big data * Databases and data management * Data leakage prevention * Data protection on untrusted infrastructure Policies and Models: * Novel policy language design * New Access Control Models * Extension of policy languages * Extension of Models * Analysis of policy languages * Analysis of Models * Policy engineering and policy mining * Verification of policy languages * Efficient enforcement of policies * Usable access control policy * Regular Track Paper Submission and Format Papers must be written in English. Authors are required to use the ACM format for papers, using the two-column SIG Proceedings Template (the sigconf template for LaTex) available in the following link: https://www.acm.org/publications/authors/submissions The length of the paper in the proceedings format must not exceed twelve US letter pages formatted for 8.5" x 11" paper and be no more than 5MB in size. It is the responsibility of the authors to ensure that their submission will print easily on simple default configurations. The submission must be anonymous, so information that might identify the authors - including author names, affiliations, acknowledgements, or obvious self-citations - must be excluded. It is the authors' responsibility to ensure that their anonymity is preserved when citing their own work. Submissions should be made to the EasyChair conference management system by the paper submission deadline of February 15, 2021 11:59 pm AOE: https://easychair.org/conferences/?conf=sacmat21 All submissions must contain a significant original contribution. That is, submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference, or workshop. In particular, simultaneous submission of the same work is not allowed. Wherever appropriate, relevant related work, including that of the authors, must be cited. Submissions that are not accepted as full papers may be invited to appear as short papers. At least one author from each accepted paper much register for the conference prior to the camera-ready deadline. * Blue Sky Track Paper Submission and Format All submissions to this track should be in the same format as for the regular track, but the length must not exceed ten US letter pages, and the submission are not required to be anonymized (optional). Submissions to this track should be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Work-in-progress Track Paper Submission and Format Authors are invited to submit papers in the newly introduced work-in-progress track. This track is introduced for (junior) authors, ideally Ph.D. and Masters students, to obtain early, constructive feedback on their work. Submissions in this track should follow the same format as for the regular track papers while limiting the total number of pages to six US letter pages. Paper submitted in this track should be anonymized and can be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Call for Lightning Talk Participants are invited to submit proposals for 5-minute lightning talks describing recently published results, work in progress, wild ideas, etc. Lightning talks are a new feature of SACMAT, introduced this year to partially replace the informal sharing of ideas at in-person meetings. Submit at https://easychair.org/my/conference?conf=sacmat21 by May 28, 2021 (the early registration deadline). Notification of acceptance on June 2, 2021. * Call for Posters SACMAT 2021 will include a poster session to promote discussion of ongoing projects among researchers in the field of access control and computer security. Posters can cover preliminary or exploratory work with interesting ideas, or research projects in early stages with promising results in all aspects of access control and computer security. Authors interested in displaying a poster must submit a poster abstract in the same format as for the regular track, but the length must not exceed three US letter pages, and the submission should not be anonymized. The title should start with "Poster:". Accepted poster abstracts will be included in the conference proceedings. Submissions for posters should be emailed to the poster chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5PM PDT. The subject line should include "SACMAT 2021 Poster:" followed by the poster title. * Call for Demos A demonstration proposal should clearly describe (1) the overall architecture of the system or technology to be demonstrated, and (2) one or more demonstration scenarios that describe how the audience, interacting with the demonstration system or the demonstrator, will gain an understanding of the underlying technology. Submissions will be evaluated based on the motivation of the work behind the use of the system or technology to be demonstrated and its novelty. The subject line should include "SACMAT 2021 Demo:" followed by the demo title. Demonstration proposals should be in the same format as for the regular track, but the length must not exceed four US letter pages, and the submission should not be anonymized. A two-page description of the demonstration will be included in the conference proceedings. Submissions should be emailed to the Demonstrations Chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5pm PDT. * Financial Conflict of Interest (COI) Disclosure: In the interests of transparency and to help readers form their own judgements of potential bias, ACM SACMAT requires authors and PC members to declare any competing financial and/or non-financial interests in relation to the work described. * Definition For the purposes of this policy, competing interests are defined as financial and non-financial interests that could directly undermine, or be perceived to undermine the objectivity, integrity and value of a publication, through a potential influence on the judgements and actions of authors with regard to objective data presentation, analysis and interpretation. Financial competing interests include any of the following: Funding: Research support (including salaries, equipment, supplies, and other expenses) by organizations that may gain or lose financially through this publication. A specific role for the funding provider in the conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript, should be disclosed. Employment: Recent (while engaged in the research project), present or anticipated employment by any organization that may gain or lose financially through this publication. Personal financial interests: Ownership or contractual interest in stocks or shares of companies that may gain or lose financially through publication; consultation fees or other forms of remuneration (including reimbursements for attending symposia) from organizations that may gain or lose financially; patents or patent applications (awarded or pending) filed by the authors or their institutions whose value may be affected by publication. For patents and patent applications, disclosure of the following information is requested: patent applicant (whether author or institution), name of inventor(s), application number, status of application, specific aspect of manuscript covered in patent application. It is difficult to specify a threshold at which a financial interest become significant, but note that many US universities require faculty members to disclose interests exceeding $10,000 or 5% equity in a company. Any such figure is necessarily arbitrary, so we offer as one possible practical alternative guideline: "Any undeclared competing financial interests that could embarrass you were they to become publicly known after your work was published." We do not consider diversified mutual funds or investment trusts to constitute a competing financial interest. Also, for employees in non-executive or leadership positions, we do not consider financial interest related to stocks or shares in their company to constitute a competing financial interest, as long as they are publishing under their company affiliation. Non-financial competing interests: Non-financial competing interests can take different forms, including personal or professional relations with organizations and individuals. We would encourage authors and PC members to declare any unpaid roles or relationships that might have a bearing on the publication process. Examples of non-financial competing interests include (but are not limited to): ? Unpaid membership in a government or non-governmental organization ? Unpaid membership in an advocacy or lobbying organization ? Unpaid advisory position in a commercial organization ? Writing or consulting for an educational company ? Acting as an expert witness * Conference Code of Conduct and Etiquette ACM SACMAT will follow the ACM Policy Against Harassment at ACM Activities. Please familiarize yourself with the ACM Policy Against Harassment and guide to Reporting Unacceptable Behavior. * AUTHORS TAKE NOTE The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: https://marinellapetrocchi.wixsite.com/mysite `Luck is a matter of geography' (Bandabardo') From fabio.bellavia at unifi.it Tue Feb 9 12:04:34 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 9 Feb 2021 18:04:34 +0100 Subject: Connectionists: VISMAC2020 Phd summer school - UPDATES Message-ID: <2475299b-4b80-e1a0-bb65-a4d792c16e9b@unifi.it> *** UPDATES in relation to COVID-19 (Coronavirus) *** Call for Participation - VISMAC2020 === Apologies for multiple posting === Please distribute this call to interested parties ____________________________________________ V I S M A C (VISione delle MACchine) [in English, "Machine Vision"] International Summer School September 21st - 24th, Palermo, Italy https://math.unipa.it/vismac2020 ____________________________________________ === UPDATES regarding COVID-19 (coronavirus) === VISMAC2020 is half a year away and hopefully the COVID-19 emergency will be over by then. We would like to thank all those who have already expressed interest in attending the VISMAC summer school. The school is now set to be held from the 21st to the 24th of september 2021, either as a full online event or in mixed online / live mode, depending on the developments related to COVID-19 pandemic. Please, feel free to express your interest by emailing us: we will add you to our mailing list and keep you promptly informed of any new development. Take care of yourselves, and see you soon. === Aim & Scope === The international summer school VISMAC "VISione delle MACchine" (in English, "Machine Vision") is organized every two years by the "Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning" (CVPL - ex-GIRPR) affiliated to International Association for Pattern Recognition (IAPR). It represents a stimulating opportunity for doctoral students, young researchers from universities, research institutions and industry. The primary objective of the Summer School is to provide a common scientific and cultural background on the subjects of computer vision and pattern recognition. This edition of VISMAC will mainly focus on four renowned research topics: Bio-imaging, Automotive, Cultural Heritage, Image forensics. === List of Speakers === Bio-imaging - Carlo Sansone, UNINA Federico II - Elena Casiraghi, UNIMI - Paolo Soda, UCBM - Francesco Tortorella, UNISA Automotive - Alberto Broggi, UNIPR - Sergio Saponara, UNIPI - Roberto Vezzani, UNIMORE - Alessandro Rizzi, UNIMI Cultural Heritage - Gabriele Guidi, POLIMI - Carlo Colombo, UNIFI - Andrea Fusiello, UNIUD - Francesca Odone, UNIGE Image forensics - Francesco De Natale, UNITN - Gian Luca Marcialis, UNICA - Luisa Verdoliva, UNINA Federico II - Jerian Martino, Amped Software === Registration === School registrations are limited to forty participants, on a FIFS basis. Accepted students can submit a poster to present their research activity. The best poster selected by the school committee will receive a prize sponsored by CVPL. Registration info and poster guidelines will come soon. === Scientific Committee === - Domenico Tegolo, UNIPA - Cesare Valenti, UNIPA - Roberto Pirrone, UNIPA - Filippo Stanco, UNICT === Local Committee === - Marco E. Tabacchi, UNIPA - Fabio Bellavia, UNIPA === Sponsors === - CVPL (ex-GIRPR) - Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning - Universita' degli Studi di Palermo - Universita' degli Studi di Catania - CTC - Centro Interdipartimentale di Tecnologie della Conoscenza, Universita' degli Studi di Palermo - DMI - Dipartimento di Matematica e Informatica, Universita' degli Studi di Palermo ____________________________________________ Contacts https://math.unipa.it/vismac2020 vismac2020 at gmail.com From nsmattei at gmail.com Tue Feb 9 13:54:55 2021 From: nsmattei at gmail.com (Nicholas Mattei) Date: Tue, 9 Feb 2021 12:54:55 -0600 Subject: Connectionists: Call for Nominations: The 2021 ACM SIGAI Industry Award for Excellence in Artificial Intelligence Message-ID: Call for Nominations: The 2021 ACM SIGAI Industry Award for Excellence in Artificial Intelligence [Apologie for Cross Posting, please distribute to your contacts!] 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. Please submit the nomination and endorsements as a single PDF file in an email to the chair of the committee, Craig Boutilier . We will acknowledge receipt of the nomination. ****************** Timeline: ****************** Nominations Due: March 15, 2021 Award Announcement: April 25, 2021 Award Presentation: Aug 21-26 at IJCAI 2021 Award Call as a PDF: https://rebrand.ly/SIGAI-Industry-Award -- *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 roman.bauer111 at gmail.com Tue Feb 9 13:06:49 2021 From: roman.bauer111 at gmail.com (roman bauer) Date: Tue, 9 Feb 2021 18:06:49 +0000 Subject: Connectionists: =?utf-8?q?PhD_studentship_on_=E2=80=9CComputation?= =?utf-8?q?al_modelling_of_spiking_neural_network_self-organization?= =?utf-8?q?=E2=80=9D_at_the_University_of_Surrey_=28UK=29?= Message-ID: *Computational modelling of spiking neural network self-organization* A PhD studentship is available in the lab of Dr Roman Bauer at the Department of Computer Science at the University of Surrey (Guildford, UK). The successful candidate will use computer simulations to study how spiking neural networks can give rise to function, such as classification/prediction of spatio-temporal (visual or auditory) signals. This will contribute to novel technologies for neurally inspired computing, and help shine light shine on how neuronal circuits in the brain operate. This particular PhD studentship will be conducted in co-operation with the BioDynaMo collaboration, where open-source code for the neuroinformatics/computational neuroscience research community is developed. Successful applicants will become part of a vibrant PhD community and will benefit from the strong research environment and high international visibility of the Department. Its researchers publish regularly in top conferences and journals and are renowned experts in their fields, developing innovative, practical solutions to real world problems. The Department has strong links with industry and active collaborations with academic institutions worldwide. *Background:* The ideal candidate will have experience in computer science / physics / mathematics or similar. Proficiency in an object-oriented programming language is required. Previous experience in the modelling and simulation of spiking neural networks would be desired. *Funding:* Each PhD studentship comes with a stipend of ?16,000 per annum plus tuition fees covered for the duration of 3 years for UK/EU candidates. International candidates are welcome to apply but will need to cover the difference between the UK/EU and overseas fees. More details including instructions for the application can be found at: https://www.surrey.ac.uk/fees-and-funding/studentships/phd-studentships-computer-science. Interested candidates are encouraged to contact the lead supervisor Dr Roman Bauer (r.bauer at surrey.ac.uk). Application deadline is 21st of February, 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Wed Feb 10 06:47:48 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Wed, 10 Feb 2021 12:47:48 +0100 Subject: Connectionists: CFP - MDPI Journal of Applied Sciences, special issue on "Advanced Image Analysis and Processing for Biomedical Applications" Message-ID: Dear all, I have received the following CFP with the kindly request to circulate among possible interested parties. Thanks for your cooperation, Fabio Bellavia --- *** Apologies for multiple posting. Please, distribute this call to interested colleagues. *** A special issue of Applied Sciences (Scopus CiteScore: 2.4;? ImpactFactor 2,217; ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence". https://www.mdpi.com/journal/applsci/special_issues/Image_Analysis_Processing Deadline for manuscript submissions: 31 May 2021. Dear Colleagues, Medical images contain plenty of information about the anatomical structures that are important for a valid diagnosis, and then can be helpful to doctors for determining the most adequate treatment. The analysis and processing of biomedical images is an interdisciplinary and dynamic area of specialization, covering biology, physics, medicine, engineering, and computer science. The main objective is the application of image processing and analysis techniques to biological or medical problems. For instance, in biomedicine, it is possible to use computational methods of image processing and analysis to model and visualize human organs from medical images. These methods can have different objectives, such as enhanced visualization, 3D reconstruction, segmentation, motion and deformation analysis, and registration. This Special Issue on Advanced Image Analysis and Processing for Biomedical Applications aims to provide an assorted and complementary collection of contributions showing new advancements and applications of advanced imaging analysis and processing in the biomedical imaging area. The ultimate objective is to promote research and advancement in the field, by publishing high-quality research articles and reviews in this rapidly growing interdisciplinary field. Topics of interest include, but are not limited to, the following: - Image enhancement, segmentation, registration, and fusion for biomedical applications; - Image acquisition and processing for biomedical applications; - Reconstruction, motion, and deformation analysis for biomedical applications; - Computer-aided diagnosis, surgery, therapy, treatment, and telemedicine systems; - Application of machine learning and artificial intelligence in medicine; - Telemedicine systems for elderly care; - Mobile applications and low-cost systems; - Sparse representation and dictionary learning-based methods for medical image processing and understanding; - Deep learning for biomedical image analysis; - Natural language processing for biomedical image analysis; - Bio-inspired contour detection; - Biomedical ultrasonics; - Fluorescence image analysis; - Cardiovascular image analysis; - Super-resolution microscopy; - Retinal image analysis; - Virtual surgery. Guest Editors: Francesco Isgr?, Andrea Apicella, Domenico Tegolo, Cesare Valenti, Roberto Prevete From krallinger.martin at gmail.com Wed Feb 10 08:10:11 2021 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Wed, 10 Feb 2021 14:10:11 +0100 Subject: Connectionists: Final CFP Social Media shared task: COVID Twitter text classification and named entity recognition (ProfNER track of SMM4H at NAACL 2021) Message-ID: **** CFP SMM4H-SPANISH:ProfNER Shared Task (SMM4H - NAACL 2021) **** *ProfNER: **Identification of professions & occupations in Health-related Social Media (SMM4H at NAACL)* https://temu.bsc.es/smm4h-spanish/ We are organizing the first shared task specifically focusing on named entity recognition of professions & occupations in Social Media in Spanish. Specifically, we focus on Twitter data related to Covid-19 and lock-downs. ProfNER is part of The Social Media Mining for Health Applications (#SMM4H) Shared Task 2021. A version of the provided ProfNER corpus *translated automatically into English* (ProfNER-MT) is also available to participating teams. *The ProfNER sub-tracks:* *Tweet binary classification: *Participants must determine whether a tweet contains a mention of occupation, or not. *NER offset detection and classification**: *Participants must find the beginning and end of occupation mentions and classify them in the corresponding category *Key information:* *ProfNER web: *https://temu.bsc.es/smm4h-spanish/ *Datasets: *https://doi.org/10.5281/zenodo.4309356 *Registration: *https://forms.gle/1qs3rdNLDxAph88n6 *CodaLab: *https://competitions.codalab.org/competitions/28766 *Other ProfNER resources:* *Embeddings (Twitter Spanish): *https://doi.org/10.5281/zenodo.4449929 *Professions and occupation gazetteer: * https://doi.org/10.5281/zenodo.4524658 *Task motivation* Some workers are at the forefront of the battle against the COVID-19 pandemic. Detecting vulnerable occupations is critical to prepare preventive measures related to exposure to the virus as well as indirect mental health issues due to fear of infection, confinement, etc. NLP systems benefit from recent NLP technologies such as transformers, novel language technologies and transfer learning and from the vast production of real-time data in social media. Following the previous organization of shared task with high impact with a considerable number of participants [Cantemist], [CodiEsp], [Meddocan] we are organizing the ProfNER track. It promotes the development of profession & occupation-related text mining resources in Spanish social media due to the special relevance of professions in the definition of at-risk groups. Systems capable of automatically processing social media texts are of interest to the medical user community, researchers, the pharmaceutical industry as well as patients. The detection of profession & occupation information is relevant for general NLP, occupational data mining, etc. Competing systems have the potential to generalize to alike use cases in other content types such as medical reports and in other languages. *Important dates* Dec, 15: Training & Development set release Feb, 15: Validation set submission due [Required] Mar, 1: Test set & background set release Mar, 4: Test set predictions due Mar, 15: System descriptions due Apr, 1: Acceptance notification Apr, 12: Camera-ready system descriptions June 6?11: NAACL 2021 conference *Publications and workshop* Each participating team will have the opportunity to submit a system description which will be published as part of the *shared task proceedings* . The 6th SMM4H Workshop, *co-located at NAACL 2021* More details are available at https://healthlanguageprocessing.org/smm4h-2021/ *Track Organizers* - *Martin Krallinger*, Barcelona Supercomputing Center, Spain - *Antonio Miranda-Escalada*, Barcelona Supercomputing Center, Spain - *Eul?lia Farr?*, Barcelona Supercomputing Center, Spain - *Salvador Lima*, Barcelona Supercomputing Center, Spain - *Vicent Briva-Iglesias*, D-REAL, Dublin City University, Ireland *SMM4H Organizers* - *Graciela Gonzalez-Hernandez*, University of Pennsylvania, USA - *Davy Weissenbacher*, University of Pennsylvania, USA - *Ari Z. Klein*, University of Pennsylvania, USA - *Karen O?Connor*, University of Pennsylvania, USA - *Abeed Sarker*, Emory University, USA - *Elena Tutubalina*, Kazan Federal University, Russia - *Zulfat Miftahutdinov*, Kazan Federal University, Russia - *Ilsear Alimova*, Kazan Federal University, Russia - *Martin Krallinger*, Barcelona Supercomputing Center, Spain - *Juan Banda*, Georgia State University, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeanne.winterer at charite.de Wed Feb 10 08:37:59 2021 From: jeanne.winterer at charite.de (Winterer, Jeanne) Date: Wed, 10 Feb 2021 13:37:59 +0000 Subject: Connectionists: =?utf-8?q?Postdoctoral_positions_at_PONS_Centre_C?= =?utf-8?q?harit=C3=A9-Universit=C3=A4tsmedizin_Berlin?= Message-ID: <0B8BE95A-D4C6-4E51-B131-9C75810D3508@contoso.com> The Centre for Population Neuroscience and Stratified Medicine (PONS) at the Clinic for Psychiatry and Psychotherapy at the Charit?- Universit?tsmedizin Berlin has two postdoctoral positions to offer: 1. Postdoctoral Research Fellow in Population Neuroscience The PONS Centre at the Charit?-Universit?tsmedizin Berlin is seeking a talented and highly motivated postdoctoral researcher to investigate environmental influences on brain development and behaviour, with a particular emphasis on global mental health. The PONS Centre aims to identify risk constellations and neurobehavioral trajectories for mental disorders and their moderation by global environmental challenges. The research will involve comparative analyses of large scale behavioural neuroimaging datasets in Europe, India, China and USA. Applying advanced statistical methods and innovative methodology, such as remote sensing satellite data, the project seeks to investigate how environmental challenges associated with urbanization, climate change, pollution or pandemics shape brain structure/function and behaviour. PONS Charit? works in close collaboration with its partner institute PONS Fudan, at the Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai. Areas of responsibility: ? Take a leading role in development, adaptation and implementation of state of the art stratification and prediction techniques, including advanced representational approaches. ? Apply these approaches to large scale, high dimensional datasets involving neuroimaging, behavioural, environmental and ?omics. ? Take a leading role in the publication and dissemination of data. ? Present at academic meetings and contribute to the visibility of the project and its aims. ? Work as a conscientious and committed member of the team in order to achieve the aims of the project. ? Assist with the supervision of PhD and MSc candidates and with the general running of the group. Qualifications: ? PhD in a relevant discipline (computer science, biomathematics) awarded, or thesis submitted, or thesis near completion. ? A very good understanding of biomathematical and computer science methods applicable for phenotype stratification and prediction. ? Experience of working with behavioural, epidemiologic and/or biological datasets. ? Thorough conceptual understanding and experience in machine learning or/and deep learning methodology. ? Evidence of the ability to publish in high-impact scientific journals. ? Strong interpersonal skills, including willingness to introduce and help other colleagues with mathematics/statistics skills. ? Good organisational skills. ? Professional and enthusiastic attitude. ? German language skills desirable, but not essential. 1. Postdoctoral Research Fellow in Precision Medicine The PONS Centre is seeking a postdoctoral fellow for a research programme funded by the European Research Council to develop the framework of a novel psychiatric taxonomy based on quantifiable neurobehavioural measures. This will be achieved by relating functional and structural neuroimaging measures as well as (epi-)genomic and environmental characterisations to behavioural symptom groups in both cross-sectional and longitudinal data. Being defined by shared neural mechanisms, these symptom groups will provide markers for stratification and prediction of mental illness. The work will involve a good understanding of the neural correlates of behaviour, and experience in the analysis of neuroimaging data using advanced statistics. PONS Charite works in close collaboration with its partner institute PONS Fudan, at the Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai. Areas of responsibility: ? To contribute to the development of a framework for a novel psychiatric taxonomy based on quantifiable neurobehavioural measures. ? To relate functional and structural neuroimaging measures as well as (epi-)genomic and environmental characterisations to behavioural symptom groups in both cross-sectional and longitudinal data ? The publication, report generation and dissemination of data arising from this project ? Attend and present at academic meetings and contribute to the visibility of the project and its aims. ? Assist with the supervision of PhD and MSc candidates and with the general running of the group ? Undertake any other reasonable duties that may be relevant to the role outline Qualifications: ? PhD in psychology, neuroscience, sociology, computer science or a related discipline - awarded, or thesis submitted ? Experience in imaging genetics and behavioural research ? Experience in multimodal analyses of behavioural assessments, neuroimaging and ?omics data using advanced statistics ? Evidence of the ability to publish in high-impact scientific journal. ? Excellent written and verbal communication ? Professional and enthusiastic The starting date of both postdoctoral positions would be the 1st of May 2021 with a length of 20 months of employment (40 hrs/week). Applicants should send the application materials to Jeanne.winterer at charite.de. Application information includes cover letter, including research plan, CV, Certificates, list of publications. Application material can be submitted until the 15th of March 2021. Contact information: For questions, please do not hesitate to contact Professor Gunter Schumann, email: gunter.schumann1961 at gmail.com and Jeanne Winterer, email: Jeanne.winterer at charite.de. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Wed Feb 10 10:16:03 2021 From: sias at sscc.fr (Symposium IAS ) Date: Wed, 10 Feb 2021 16:16:03 +0100 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems Message-ID: <011101d6ffbf$cc806010$65812030$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ in conjunction with " 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture . IAS modeling (formal models, SysML, UML, etc) . Correct-by-construction in IAS . MBSE, MDA and DDA for IAS . Virtualization and digital twins for IAS . Blockchains and decentralized architecture for IAS . IAS smart Networking . Communication protocols for IAS . Edges, Fog, and Cloud in IAS . Distributed database for IAS . Web services for IAS . Social aspects and human interaction in IAS IAS Analysis . Artificial intelligence, deep learning, and machine learning in IAS . Model checking and theorem proving for IAS . Abstraction and compositional verification for IAS . Optimization and SAT solvers for IAS . Dynamic and static analysis for IAS . Statistical analysis for IAS . Testing for IAS . Smart decision making in IAS . Fog and edge computing for IAS IAS Assurance . Security specification, requirements, and management in IAS . Security in distributed IAS . Modeling, analysis and detection of attacks in IAS . Data mining for cybersecurity in IAS . Security protocols for IAS . Safety policies for IAS . Safety reinforcement models in IAS . Safety standard analysis for IAS . Resilience metrics and models for IAS . Resilience strategies and plans for IAS . Recovery systems for IAS resiliency . Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases . Applications and Software Platforms for IAS . IoT and CPS for IAS . Smart cities . IAS for industrial and production CPS . Autonomous robots and vehicles . Human-Robot Interaction . Smart logistics (transportation, supply chain, etc) Important Dates . Submission Date: 25 April,2021 . Notification to Authors: 25 May, 2021 . Camera Ready Submission: 4 June, 2021 Submission System . https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From xtai at informatik.uni-wuerzburg.de Thu Feb 11 11:37:20 2021 From: xtai at informatik.uni-wuerzburg.de (Extended Artificial Intelligence Contact) Date: Thu, 11 Feb 2021 16:37:20 +0000 Subject: Connectionists: New MSc Course: Extended Artificial Intelligence Message-ID: <20210211163720.Horde.-_4Y_flFq64p05rcREQy_pm@webmail.uni-wuerzburg.de> The University of W?rzburg, Germany, and the Center for Artificial Intelligence and Data Science (CAIDAS) now offer a new, specialized Master's course "eXtended Artificial Intelligence". The tuition-free course focuses on the design and development of complex AI systems, with an emphasis on combining AI with extended (virtual and augmented) reality. A brief overview of XtAI can be found in the flyer: https://go.uniwue.de/xtaiflyer For more detailed information and requirements, please visit: https://go.uniwue.de/xtai The application period for winter semester 2021/22 has already started and runs until the 15th of March. Forwarding this message to interested students is much appreciated. Kind regards, XtAI Committee From jaakko.peltonen at aalto.fi Thu Feb 11 11:52:36 2021 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Thu, 11 Feb 2021 16:52:36 +0000 Subject: Connectionists: MLVis 2021: Machine Learning Methods in Visualisation - Call For Papers Message-ID: MLVis 2021: Machine Learning Methods in Visualisation - Call For Papers https://www.tuni.fi/mlvis2021/ MLVis 2021 will be a co-located workshop at EuroVis 2021. 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 2021 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. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library. Selected papers may be invited to ACM Transactions on Interactive Intelligent Systems. Important Dates: Submission deadline: April 12, 2021 Notification deadline: May 3, 2021 Camera-ready deadline: May 14, 2021 Workshop: June 14, 2021 All submission deadlines are at 23:59 Anywhere on Earth on the date indicated. From perusquia at ieee.org Thu Feb 11 23:01:36 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Fri, 12 Feb 2021 13:01:36 +0900 Subject: Connectionists: Final call for Workshop and Challenge Proposals (deadline Feb. 23rd) Message-ID: ==================================================== Affective Computing and Intelligent Interaction (ACII) 2021 28 Sep ? 1 Oct 2021, Virtual event http://www.acii-conf.net/2021/ ==================================================== *Call for Workshop and Challenge Proposals* The organizing committee of Affective Computing and Intelligent Interaction (ACII) 2021 is now inviting proposals for workshops and challenges. The biennial conference is the flagship conference for research in Affective Computing, covering topics related to the study of intelligent systems that read, express, or otherwise use emotion. Workshops at ACII allow a group of scientists an opportunity to get together to network and discuss a specific topic in detail. Examples of past workshops include: Emotions in Games, Affective Brain-Computer Interfaces, Affective Touch, Group Emotions, Affective Computing for Affective Disorders, etc. We want to encourage workshop proposals that draw together interdisciplinary perspectives on topics in affective computing. We also welcome Challenge-type workshops, where workshop participants would work on a shared task. Proposals are also encouraged that make a connection to the theme of the conference on ?Ethical Affective Computing?, and consider issues around the ethical use of affective computing technologies. Workshops should focus on a central question or topic, and will be held the day before the conference. Workshop organizers will be responsible for soliciting and reviewing papers, and putting together an exciting schedule. We also encourage workshop organizers to allow for time for networking and discussion. Workshop organizers are also expected to present a short summary of the workshop during the main conference to allow the dissemination of the workshop outcomes to the wider community. ***Submission Procedures*** Please submit proposals as a single PDF via email to Desmond Ong ( dco at comp.nus.edu.sg) AND Luke Chang (luke.j.chang at dartmouth.edu) with the following information: ? Title of Workshop ? Organizers and affiliations, with a main contact person identified if there are multiple organizers ? Rationale for the workshop, which should cover the importance and timeliness of the proposed topic to ACII, as well as the scope of the workshop. ? Expected outcomes and impact of the workshop ? Length of workshop (full-day or half-day) ? Proposed format of workshop (e.g., oral presentations, poster session, breaks). ? List of tentative and confirmed PC members (mention, per PC member, whether tentative or confirmed) o Workshop PC members are in charge of the peer review process, and the workshop organizer will collate and recommend acceptance of the papers to ACII Workshop Chairs. ? Expected number of submissions, planned acceptance rate, and paper length, review process (with schedule) o We recommend a workshop paper submission deadline sometime in May, with notifications due back to authors by June or early July, in time for Camera-Ready papers due July 30, 2021 o We will work with workshop organizers to have access to the conference submission system that we will be using for the main conference (details TBA to accepted workshops). o For challenge-type workshops, please include details on the shared task/dataset and on the schedule (e.g., the timeline for release of training data, baseline model results, etc). ? Advertising plan (e.g. listserves or conferences or other communities that you will advertise the workshop call to). Also, include where you plan to host the workshop website. ? Tentative/confirmed keynote speaker(s): please include short biographical details and details on the topic. ? Any logistical requirements. ? List of related and previous workshops/conferences on this/related topics. ***Important Dates*** *Feb 23, 2021*: Workshop proposal submission deadline (extended deadline) Mar 7, 2021: Notification of acceptance of Workshop proposal May (TBD by workshop organizers): Workshop paper submission deadline June/July (TBD by workshop organizers): Workshop paper notification July 30, 2021: Workshop Camera-Ready Papers Due (same as main conference) September 28, 2021: Date of Workshops -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.davidgriffiths at gmail.com Thu Feb 11 12:19:46 2021 From: j.davidgriffiths at gmail.com (John Griffiths) Date: Thu, 11 Feb 2021 12:19:46 -0500 Subject: Connectionists: =?utf-8?q?Call_for_submissions=3A_Frontiers_Resea?= =?utf-8?q?rch_Topic_on_=E2=80=9CNeuroinformatics_of_Large-Scale_Br?= =?utf-8?q?ain_Modelling=22?= Message-ID: Dear all, We are excited to announce an upcoming Research Topic, jointly within Frontiers in Neuroinformatics and Frontiers in Computational Neuroscience, on ?Neuroinformatics of Large-Scale Brain Modelling?. This Research Topic will document the various ways in which neuroinformatics approaches are being applied in large-scale brain modelling, informing readers on both established practices and emerging techniques. We seek Original Research, Review, Mini-Review, Hypothesis and Theory, Perspective, and Opinion articles that cover, but are not limited to, the following topics: - Ontologies, systems, and tools for definition and specification of large-scale neural models - New approaches to parameter optimization, parameter space exploration, and systematic tracking of simulation behaviour across parameter combinations - Informing neural models with genetic and multi-omic data from large-scale databases and individual patients/subjects - Systematic computational modelling studies on large numbers of subjects, and/or using large-scale open-access datasets (HCP, ABCD, etc.) - ?Hybrid? modelling schemes that combine mean-field with spiking network models - ?Hybrid? approaches to defining connectivity in large-scale brain models (e.g. supplementing tractography with microscopy data for higher-resolution subcortical connectivity structure) - Simulations using high-resolution neuroanatomical data from initiatives such as BigBrain, Allen Institute, etc. - ?High-density? (large number of regions; small parcels) connectome-based neural mass modelling - Other neuroinformatics challenges and solutions in large-scale brain simulations - Comparisons between detailed spiking/morphological simulations and neural mass model simulations - Comparisons between models based on high-resolution and low-resolution Allen atlas connectivities Full details can be found on the research topic webpage at: www.frontiersin.org/research-topics/16641/neuroinformatics-of-large-scale-brain-modelling If you are considering submitting, please submit an abstract by Fri 26 Feb 2021. Deadline for submission of full manuscripts is Fri 30th July 2021. We look forward to your hearing from you and sharing this exciting work with the community. Your Research Topic co-editors, John Griffiths Padraig Gleeson Kelly Shen -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry & Institute of Medical Sciences, University of Toronto www.grifflab.com ~~~ Frontiers in Neuroinformatics & Frontiers in Computational Neuroscience joint Research Topic: ?Neuroinformatics of Large-Scale Brain Modelling? *Eds. John Griffiths, Kelly Shen, Padraig Gleeson* *Now accepting submissions! * Abstract deadline 26 Feb 2021. Manuscript deadline 30 July 2021. See topic page here for more info -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Fri Feb 12 01:39:52 2021 From: m.biehl at rug.nl (Michael Biehl) Date: Fri, 12 Feb 2021 07:39:52 +0100 Subject: Connectionists: PhD project at the University of Birmingham / UK Message-ID: Applications are invited for a *3-year fully funded PhD Studentship* Tentative starting date: 1 April 2021. Title: *Integrated machine learning approaches to dissect the link between androgen excess * *and metabolic disease in women* In this interdisciplinary project, supervised and unsupervised machine learning techniques including but not limited to neural networks and prototype-based metric learning will be applied to analyse steroid metabolome, global non-targeted metabolome and clinical phenotype data. For detailed information, application procedure etc. see https://www.findaphd.com/phds/project/integrated-machine-learning-approaches-to-dissect-the-link-between-androgen-excess-and-metabolic-disease-in-women/?p129537 ------------------------------------ Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Thu Feb 11 15:22:02 2021 From: gangluo at cs.wisc.edu (GANG LUO) Date: Thu, 11 Feb 2021 20:22:02 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) - virtual event Message-ID: -- Call for Papers -- The Seventh International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) In Conjunction with VLDB 2021 Copenhagen, Denmark - virtual event August 20, 2021 https://sites.google.com/view/vldbdmah2021/ DMAH will be held online this year. Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2020 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 10, 2021 Individual Workshop Papers: May 16, 2021 Notification of Acceptance: June 10, 2021 Camera Ready: June 25, 2021 Workshop date: August 20, 2021 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Jun Kong, Georgia State University, USA From pubconference at gmail.com Thu Feb 11 22:15:24 2021 From: pubconference at gmail.com (Pub Conference) Date: Thu, 11 Feb 2021 22:15:24 -0500 Subject: Connectionists: 2nd CFP for ICACI 2021 (Numerous SCI Journal Special Issue Opportunities) Message-ID: The 13th International Conference on Advanced Computing Intelligence (ICACI 2021) will be held in Chongqing-Wanzhou, China from May 14-16, 2021. The paper submission deadline has been extended to February 10, 2021. ?The conference will continue to accept submissions after February 10, 2021. The submission system will not be closed, and the review will be arranged?We warmly welcome all experts and scholars to contribute papers. We sincerely thank you for your strong support! Conference website is: https://icaci2021.sanxiau.edu.cn/ Paper submission website is: https://easychair.org/account/signin?l=JUnQx1U8suTXI3Y2djiMiJ# The excellent papers will be recommended to SCI journals for publication as follows: SCI Journal Special Issue 1: Knowledge-Based Systems (IF 5.921). CFP? https://www.journals.elsevier.com/knowledge-based-systems/call-for-papers/robust-explainable-and-privacy-preserving-deep-learning SCI Journal Special Issue 2: Neurocomputing (IF 4.438). CFP? https://www.journals.elsevier.com/neurocomputing/call-for-papers/distributed-machine-learning-optimization-and-applications SCI Journal Special Issue 3: Sensors (IF 3.275). CFP: https://www.mdpi.com/journal/sensors/special_issues/smartIoT2021 SCI Journal Special Issue 4: Computational Intelligence and Neuroscience (IF 2.284) - Special Issue #1, CFP? https://www.hindawi.com/journals/cin/si/907935/ - Special Issue #2, CFP?https://www.hindawi.com/journals/cin/si/575069/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Fri Feb 12 05:42:21 2021 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Fri, 12 Feb 2021 11:42:21 +0100 Subject: Connectionists: PhD position in Computational Neuroscience with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany Message-ID: <20210212104221.GJ6523@curry> 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 are the neurosciences. 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 29,87 h/w of salary scale TV-L E13. The load of teaching will be calculated according to ?3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Tasks: * Development of a model of the hippocampus to store episodic sequences and its application to navigational experiences with the goal to better understand the neural basis of memory-based navigation. * Support in teaching. We offer: * An interesting interdisciplinary environment in the field of Computational Neuroscience / Machine Learning. * 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 neuroscientific research questions. 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. Application period ends on March 7, 2021. 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. From roman.bauer111 at gmail.com Fri Feb 12 09:47:06 2021 From: roman.bauer111 at gmail.com (roman bauer) Date: Fri, 12 Feb 2021 14:47:06 +0000 Subject: Connectionists: PhD studentship in Computational Neuroscience with Dr Roman Bauer at the University of Surrey (UK) Message-ID: *PhD studentship title: Computational modelling of spiking neural network self-organization* A PhD studentship is available in the lab of Dr Roman Bauer at the Department of Computer Science at the University of Surrey (Guildford, UK). The successful candidate will use computer simulations to study how spiking neural networks can give rise to function, such as classification/prediction of spatio-temporal (visual or auditory) signals. This will contribute to novel technologies for neurally inspired computing, and help shine light shine on how neuronal circuits in the brain operate. This particular PhD studentship will be conducted in co-operation with the BioDynaMo collaboration, where open-source code for the neuroinformatics/computational neuroscience research community is developed. Successful applicants will become part of a vibrant PhD community and will benefit from the strong research environment and high international visibility of the Department. Its researchers publish regularly in top conferences and journals and are renowned experts in their fields, developing innovative, practical solutions to real world problems. The Department has strong links with industry and active collaborations with academic institutions worldwide. *Background:* The ideal candidate will have experience in computer science / physics / mathematics or similar. Proficiency in an object-oriented programming language is required. Previous experience in the modelling and simulation of spiking neural networks would be desired. *Funding:* Each PhD studentship comes with a stipend of ?16,000 per annum plus tuition fees covered for the duration of 3 years for UK/EU candidates. International candidates are welcome to apply but will need to cover the difference between the UK/EU and overseas fees. More details including instructions for the application can be found at: https://www.surrey.ac.uk/fees-and-funding/studentships/phd-studentships-computer-science. Interested candidates are encouraged to contact the lead supervisor Dr Roman Bauer (r.bauer at surrey.ac.uk). Application deadline is 21st of February, 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Sat Feb 13 06:40:58 2021 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Sat, 13 Feb 2021 12:40:58 +0100 Subject: Connectionists: Extended deadline February 25: ACM SACMAT 2021 - Symposium of Access Control Models and Technologies Message-ID: Apologies for cross-posting Due to numerous requests, the deadline has been ***extended to February 25, 2021 (11:59 pm AOE)*** (firm). ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 June 16-18, 2021, Barcelona, Spain http://sacmat.dista.uninsubria.it/2021/about.php ---------------------------------------------------------- Important dates ---------------------------------------------------------- * Paper submission deadline (firm): February 25, 2021 (11:59 pm AOE) * Rebuttal: March 30 - April 2nd, 2021 * Notifications: April 15th, 2021 * Systems demo and Poster submissions: April 19th, 2021 * Systems demo and Poster notifications: April 27th, 2021 * Panel Proposal: TBD * Camera ready: May 4th, 2021 * Conference date: June 16 ? June 18, 2021 * Call for Research Papers Papers offering novel research contributions are solicited for submission. Accepted papers will be presented at the symposium and published by the ACM in the symposium proceedings. In addition to the regular research track, this year SACMAT will again host the special track -- "Blue Sky/Vision Track". Researchers are invited to submit papers describing promising new ideas and challenges of interest to the community as well as access control needs emerging from other fields. We are particularly looking for potentially disruptive and new ideas which can shape the research agenda for the next 10 years. We also encourage submissions to the newly introduced ?Work-in-progress Track? to present ideas that may have not been completely developed and experimentally evaluated. Topics of Interest Submissions to the regular track covering any relevant area of access control and computer security are welcomed. Areas of interest include, but are not limited to, the following: Systems: * Operating systems * Cloud systems and their security * Distributed systems * Fog and Edge-computing systems * Cyber-physical and Embedded systems * Mobile systems * Autonomous systems (e.g., UAV security, autonomous vehicles, ) * IoT systems (e.g., home-automation systems) * WWW Network: * Network systems (e.g., Software-defined network, Network function virtualization) * Corporate and Military-grade Networks * Wireless and Cellular Networks * Opportunistic Network (e.g., delay-tolerant network, P2P) * Overlay Network * Satellite Network Privacy and Privacy-enhancing Technologies: * Mixers and Mixnets * Anonymous protocols (e.g., Tor) * Online social networks (OSN) * Anonymous communication and censorship resistance * Access control and identity management with privacy * Cryptographic tools for privacy * Data protection technologies * Attacks on Privacy and their defenses Authentication: * Password-based Authentication * Biometric-based Authentication * Location-based Authentication * Identity management * Usable authentication Mechanisms: * Blockchain Technologies * AI/ML Technologies * Cryptographic Technologies * Programming-language based Technologies * Hardware-security Technologies (e.g., Intel SGX, ARM TrustZone) * Economic models and game theory * Trust Management * Usable mechanisms Data Security: * Big data * Databases and data management * Data leakage prevention * Data protection on untrusted infrastructure Policies and Models: * Novel policy language design * New Access Control Models * Extension of policy languages * Extension of Models * Analysis of policy languages * Analysis of Models * Policy engineering and policy mining * Verification of policy languages * Efficient enforcement of policies * Usable access control policy * Regular Track Paper Submission and Format Papers must be written in English. Authors are required to use the ACM format for papers, using the two-column SIG Proceedings Template (the sigconf template for LaTex) available in the following link: https://www.acm.org/publications/authors/submissions The length of the paper in the proceedings format must not exceed twelve US letter pages formatted for 8.5" x 11" paper and be no more than 5MB in size. It is the responsibility of the authors to ensure that their submission will print easily on simple default configurations. The submission must be anonymous, so information that might identify the authors - including author names, affiliations, acknowledgements, or obvious self-citations - must be excluded. It is the authors' responsibility to ensure that their anonymity is preserved when citing their own work. Submissions should be made to the EasyChair conference management system by the paper submission deadline of February 25, 2021 11:59 pm AOE: https://easychair.org/conferences/?conf=sacmat21 All submissions must contain a significant original contribution. That is, submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference, or workshop. In particular, simultaneous submission of the same work is not allowed. Wherever appropriate, relevant related work, including that of the authors, must be cited. Submissions that are not accepted as full papers may be invited to appear as short papers. At least one author from each accepted paper much register for the conference prior to the camera-ready deadline. * Blue Sky Track Paper Submission and Format All submissions to this track should be in the same format as for the regular track, but the length must not exceed ten US letter pages, and the submission are not required to be anonymized (optional). Submissions to this track should be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Work-in-progress Track Paper Submission and Format Authors are invited to submit papers in the newly introduced work-in-progress track. This track is introduced for (junior) authors, ideally Ph.D. and Masters students, to obtain early, constructive feedback on their work. Submissions in this track should follow the same format as for the regular track papers while limiting the total number of pages to six US letter pages. Paper submitted in this track should be anonymized and can be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Call for Lightning Talk Participants are invited to submit proposals for 5-minute lightning talks describing recently published results, work in progress, wild ideas, etc. Lightning talks are a new feature of SACMAT, introduced this year to partially replace the informal sharing of ideas at in-person meetings. Submit at https://easychair.org/my/conference?conf=sacmat21 by May 28, 2021 (the early registration deadline). Notification of acceptance on June 2, 2021. * Call for Posters SACMAT 2021 will include a poster session to promote discussion of ongoing projects among researchers in the field of access control and computer security. Posters can cover preliminary or exploratory work with interesting ideas, or research projects in early stages with promising results in all aspects of access control and computer security. Authors interested in displaying a poster must submit a poster abstract in the same format as for the regular track, but the length must not exceed three US letter pages, and the submission should not be anonymized. The title should start with "Poster:". Accepted poster abstracts will be included in the conference proceedings. Submissions for posters should be emailed to the poster chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5PM PDT. The subject line should include "SACMAT 2021 Poster:" followed by the poster title. * Call for Demos A demonstration proposal should clearly describe (1) the overall architecture of the system or technology to be demonstrated, and (2) one or more demonstration scenarios that describe how the audience, interacting with the demonstration system or the demonstrator, will gain an understanding of the underlying technology. Submissions will be evaluated based on the motivation of the work behind the use of the system or technology to be demonstrated and its novelty. The subject line should include "SACMAT 2021 Demo:" followed by the demo title. Demonstration proposals should be in the same format as for the regular track, but the length must not exceed four US letter pages, and the submission should not be anonymized. A two-page description of the demonstration will be included in the conference proceedings. Submissions should be emailed to the Demonstrations Chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5pm PDT. * Financial Conflict of Interest (COI) Disclosure: In the interests of transparency and to help readers form their own judgements of potential bias, ACM SACMAT requires authors and PC members to declare any competing financial and/or non-financial interests in relation to the work described. * Definition For the purposes of this policy, competing interests are defined as financial and non-financial interests that could directly undermine, or be perceived to undermine the objectivity, integrity and value of a publication, through a potential influence on the judgements and actions of authors with regard to objective data presentation, analysis and interpretation. Financial competing interests include any of the following: Funding: Research support (including salaries, equipment, supplies, and other expenses) by organizations that may gain or lose financially through this publication. A specific role for the funding provider in the conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript, should be disclosed. Employment: Recent (while engaged in the research project), present or anticipated employment by any organization that may gain or lose financially through this publication. Personal financial interests: Ownership or contractual interest in stocks or shares of companies that may gain or lose financially through publication; consultation fees or other forms of remuneration (including reimbursements for attending symposia) from organizations that may gain or lose financially; patents or patent applications (awarded or pending) filed by the authors or their institutions whose value may be affected by publication. For patents and patent applications, disclosure of the following information is requested: patent applicant (whether author or institution), name of inventor(s), application number, status of application, specific aspect of manuscript covered in patent application. It is difficult to specify a threshold at which a financial interest become significant, but note that many US universities require faculty members to disclose interests exceeding $10,000 or 5% equity in a company. Any such figure is necessarily arbitrary, so we offer as one possible practical alternative guideline: "Any undeclared competing financial interests that could embarrass you were they to become publicly known after your work was published." We do not consider diversified mutual funds or investment trusts to constitute a competing financial interest. Also, for employees in non-executive or leadership positions, we do not consider financial interest related to stocks or shares in their company to constitute a competing financial interest, as long as they are publishing under their company affiliation. Non-financial competing interests: Non-financial competing interests can take different forms, including personal or professional relations with organizations and individuals. We would encourage authors and PC members to declare any unpaid roles or relationships that might have a bearing on the publication process. Examples of non-financial competing interests include (but are not limited to): ? Unpaid membership in a government or non-governmental organization ? Unpaid membership in an advocacy or lobbying organization ? Unpaid advisory position in a commercial organization ? Writing or consulting for an educational company ? Acting as an expert witness * Conference Code of Conduct and Etiquette ACM SACMAT will follow the ACM Policy Against Harassment at ACM Activities. Please familiarize yourself with the ACM Policy Against Harassment and guide to Reporting Unacceptable Behavior. * AUTHORS TAKE NOTE The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: https://marinellapetrocchi.wixsite.com/mysite `Luck is a matter of geography' (Bandabardo') From wittawatj at gmail.com Sat Feb 13 07:05:23 2021 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Sat, 13 Feb 2021 13:05:23 +0100 Subject: Connectionists: Call for volunteers for AISTATS 2021 Message-ID: Dear all, The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021, https://aistats.org/aistats2021/) invites students and postdoctoral researchers to apply to be a volunteer. The AISTATS 2021 is scheduled to be on April 13-15, 2021 as a virtual event. As a volunteer, you will be an essential part of the success of AISTATS 2021. All selected volunteers receive a free conference registration and have access to all programs offered, including talks by our invited speakers, live poster Q&A sessions, social activities on Gather.town, among others. In addition, volunteering gives you a unique networking opportunity with leading researchers. Example duties for volunteers include: - Providing technical assistance to speakers and attendees in a live session - Acting as a point of contact between other attendees and the AISTATS team during the event - Promoting interactions and positive virtual atmosphere on our chat platform and Gather.town - Monitoring signs of misconduct and disturbing behaviors - Compiling the list of questions asked for a live Q&A session - Backstage tasks before the virtual event such as setting up virtual rooms on Gather.town Each volunteer will be responsible for only a small subset of these tasks at a time. Volunteers must be undergraduate, Master?s, PhD students, or postdoctoral researchers. Volunteers do not need to have a paper accepted at AISTATS. We welcome qualified applicants from all geographic areas regardless of their gender, race, color, religion, age, origin, and military status. We will respect your time availability when we divide the tasks. Submit your application at https://aistats.org/aistats2021/volunteering.html. The application deadline is February 25, 2021 (anywhere on Earth), or until all volunteer positions are filled, whichever is earlier. Please apply as soon as possible. If you have any questions or suggestions, please contact us at aistats2021pc at gmail.com. Thank you, The AISTATS 2021 organizing team -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Feb 13 06:32:36 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sat, 13 Feb 2021 13:32:36 +0200 Subject: Connectionists: 15th International Conference on Research Challenges in Information Science (RCIS 2021): Last Mile for Paper Submission for Doctoral Consortium, Posters & Demos, Research Projects and Tutorials Message-ID: <8BHW26V-MKY0-6EYN-71XV-67VP4HOGPFOB@cs.ucy.ac.cy> *** Last Mile for Paper Submission for Doctoral Consortium, Posters & Demos, Research Projects and Tutorials *** 15th International Conference on Research Challenges in Information Science (RCIS 2021) May 12-14, 2021, Virtual Event! http://www.rcis-conf.com/rcis2021/ Submission deadline (except tutorials): February 19, 2021 (AoE) Submission deadline only for tutorials: March 19, 2021 (AoE) (Proceedings to be published by Springer) RCIS has become a recognized conference on research challenges in Information Science. Organized for the 15th time in a row, RCIS 2021 will be held from May 12-14, 2021, as a virtual event. The topics of interest are organized into some major categories (more details in the call for papers http://www.rcis-conf.com/rcis2021/callPapers.php): ? Information Systems and their Engineering ? User-Oriented Approaches ? Data and Information Management ? Business Process Management ? Domain-specific IS Engineering ? Data Science ? Information Infrastructures ? Reflective Research and Practice IMPORTANT DATES FOR ALL SATELLITE EVENTS ? Submission deadline (except tutorials): February 19, 2021 (AoE) ? Submission deadline for tutorial proposals: March 19, 2021 (AoE) ? Notification to authors and registration opening: March 12, 2021 ? Notification for tutorial proposals: March 22, 2021 ? Author registration deadline for all paper types: March 29, 2021 ? Camera-ready copy deadline for all paper types: March 29, 2021 ? Conference: May 12-14, 2021 DOCTORAL CONSORTIUM The RCIS 2021 Doctoral Consortium is an opportunity for doctoral students to present, discuss and develop their research project in an interdisciplinary workshop, under the guidance of a panel of senior researchers. The Doctoral Consortium offers nice opportunities for PhD students. Firstly, the feedback received during the Doctoral Consortium will really benefit students who have defined their topic, research plan and have obtained early results, but who still have room for improving their longer-term plan. Secondly, students at all stages of their doctoral project can meet the welcoming RCIS community and widen their network of contacts. The Doctoral Consortium has the following objectives: ? Provide a platform for students to present their work and to meet other peers and be familiar with different research topics and methods. ? Provide feedback on students' current research and guidance on future research directions. ? Promote the development of a supportive community of scholars and a spirit of collaborative research and networking. ? Contribute to the conference goals through interaction with other researchers. Interested PhD students are invited to submit papers, in agreement with their supervisors, addressing the instructions that are provided on the online call: http://www.rcis-conf.com/rcis2021/callDoctoral.php . Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Submissions must be written in English, and must be authored by the student only. The maximum length of the paper should be eight (8) pages, including references, appendices, etc. The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "RCIS2021_Doctoral_Consortium" track. Doctoral Consortium Chairs ? Xavier Franch, Universitat Polit?cnica de Catalunya, Spain ? Renata Guizzardi, University of Twente, The Netherlands Doctoral Consortium Student Co-Chair ? Blagovesta Kostova, EPFL, Switzerland POSTERS AND DEMOS The posters & demos track will showcase prototypes and new research ideas in Information Science. This track provides a forum for researchers and practitioners to present their work, interact with conference participants, and obtain feedback on on-going research. We invite two types of submissions: ? Posters are intended to convey a research result and are not advertisements for commercial software packages. While posters need not describe completed work, they should report on research for which at least some preliminary results are available. ? Demonstrations should directly and actively involve the exhibition and display of tools/prototypes and associated materials that illustrate research work in progress and serve as ground for discussion of research ideas. Posters and demonstrations proposals must be submitted as a single PDF file with no more than 6 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) including references and appendices. Proposals that exceed the limit of 6 pages will be rejected without review. Proposals that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2021. The submission site address is http://www.rcis-conf.com/rcis2021/ where you can choose the "RCIS2021 Posters & Demos" track. More details on the submission and presentation format is online: http://www.rcis-conf.com/rcis2021/callPostersDemo.php . Posters & Demos Chairs ? Dominik Bork, TU Wien, Austria ? Giovanni Meroni, Politecnico di Milano, Italy RESEARCH PROJECTS @RCIS RCIS 2021 features a track entirely devoted to presenting future or ongoing research projects (e.g., H2020 or ERC projects, national grants) in the context of information science. This track features a good opportunity for presenters to get feedback before submitting research project or to disseminate the intermediate results of their projects, and for participants to get an updated view of innovative ongoing research while getting in touch with potential research partners. The Research Projects @RCIS Track follows a two-step publication process. Firstly, the authors should submit a 2 pages paper summarizing the objectives of the project and relevant results. Each submission will be peer reviewed on the relevance of the submitted paper in the context of RCIS. If the paper is accepted, the authors will have to register to the conference in order to present their work as a poster at the "Research Projects @ RCIS" session at RCIS. A discussant system will be organized to ensure proper feedback and discussions about the projects. Furthermore, the accepted 2 pages paper will be published in the conference proceedings to be published by Springer in the LNBIP series. Beyond the special topic for RCIS 2021, the conference welcomes Research Projects submissions from any domain of Information Science. More information about the special topic and the range of topics that RCIS traditionally addresses can be found in: http://www.rcis-conf.com/rcis2021/callPapers.php . The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "ResearchProjects at RCIS2021" track. More information about preparing and submitting contributions related to this track can be found here: http://www.rcis-conf.com/rcis2021/researchProjects.php . Research Projects @RCIS Chairs ? Denisse Mu?ante, T?l?com SudParis, Institut Polytechnique de Paris, France ? Anthony Simonofski, UNamur and KU Leuven, Belgium TUTORIALS Tutorials are intended to provide independent instruction (know-how) on a topic of relevance for the RCIS academic and practitioner community. However, we discourage commercial or sales-oriented tutorials. Potential presenters should keep in mind that there might be a varied audience, including novice graduate students, seasoned practitioners, and specialised researchers. Tutorial speakers should be prepared to cope with this diversity. The conference has specific slots for tutorials. They will be organised in sessions of 90 minutes with a free format. Tutorials run in parallel with other conference tracks, and participation in the tutorials is included in the attendees' conference fee. We invite proposals for tutorials that may address one or more of the listed topics below, although authors should not feel limited by them. A 2-page summary of the tutorials that end up being accepted and delivered will be published in the conference proceedings, which will be published by Springer in the Lecture Notes in Business Information Processing series. Furthermore, a free registration for the conference will be offered to the main presenter (i.e. to one speaker), unless they are the only paying author of a paper presented at the conference. Beyond the special topic for RCIS 2021, the conference welcomes tutorial proposals from any domain of Information Science. More information about the special topic and the range of topics that RCIS traditionally addresses can be found in: http://www.rcis-conf.com/rcis2021/callPapers.php . Tutorial proposals are limited to 5 pages in Springer LNCS/LNBIP format and should be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "RCIS2021_Tutorials" track. More information about preparing and submitting contributions related to this track can be found here: http://www.rcis-conf.com/rcis2021/tutorials.php . Tutorial Chairs ? Sergio Espa?a, Utrecht University, The Netherlands ? Patricia Mart?n-Rodilla, University of A Coruna, Spain CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Samira Cherfi, CNAM, France ? Anna Perini, FBK, Italy Proceedings Chair ? Raihana Ferdous, FBK, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.j.palmeri at vanderbilt.edu Sun Feb 14 14:35:24 2021 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Sun, 14 Feb 2021 19:35:24 +0000 Subject: Connectionists: Postdoctoral Fellowship in Cognitive and Neural Modeling of Visual Cognition at Vanderbilt Message-ID: <2C946446-64D0-449D-A8ED-49A986AD78A1@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 saccade behavior, neurophysiology, and electrophysiology in humans and monkeys. The other project uses cognitive and deep learning models to understand visual recognition, memory, and categorization, and the development of perceptual expertise. Fellows will have an opportunity to work on both projects. Research facilities include several high-end laboratory workstations, computerized behavioral testing stations, a web-based server infrastructure for online experiments, two eye trackers, a shared 10,000+ core CPU cluster and large-scale GPU cluster at Vanderbilt?s ACCRE, as well as ample office and research space. Postdoctoral fellows will also take advantage of the collaborative environment, facilities, and support in the Department of Psychology, the Vanderbilt Data Science Institute, and the Vanderbilt Vision Research Center. And as Dave Grohl of the Foo Fighters has said, ?Everybody now thinks that Nashville is the coolest city in America.? Candidates can hold a Ph.D. in psychology, neuroscience, computer science, mathematics, engineering, or related disciplines. Some demonstrated experience with computational modeling is required. Some knowledge of vision cognition and neuroscience is desired but not required. Start date is negotiable, but preference will be given to candidates who can begin this winter, spring, or early summer. Applications will be reviewed on a rolling basis. Salary will be based on the NIH postdoctoral scale. Applicants should send a cover letter with a brief research statement, a current CV, and names and email addresses of three references to: Thomas Palmeri Department of Psychology Vanderbilt University Nashville, TN 37240 thomas.j.palmeri at vanderbilt.edu catlab.psy.vanderbilt.edu *apologies for cross-posting* -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Sun Feb 14 10:58:42 2021 From: sias at sscc.fr (Symposium IAS ) Date: Sun, 14 Feb 2021 16:58:42 +0100 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems Message-ID: <000001d702ea$6ac88d10$4059a730$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ in conjunction with " 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture . IAS modeling (formal models, SysML, UML, etc) . Correct-by-construction in IAS . MBSE, MDA and DDA for IAS . Virtualization and digital twins for IAS . Blockchains and decentralized architecture for IAS . IAS smart Networking . Communication protocols for IAS . Edges, Fog, and Cloud in IAS . Distributed database for IAS . Web services for IAS . Social aspects and human interaction in IAS IAS Analysis . Artificial intelligence, deep learning, and machine learning in IAS . Model checking and theorem proving for IAS . Abstraction and compositional verification for IAS . Optimization and SAT solvers for IAS . Dynamic and static analysis for IAS . Statistical analysis for IAS . Testing for IAS . Smart decision making in IAS . Fog and edge computing for IAS IAS Assurance . Security specification, requirements, and management in IAS . Security in distributed IAS . Modeling, analysis and detection of attacks in IAS . Data mining for cybersecurity in IAS . Security protocols for IAS . Safety policies for IAS . Safety reinforcement models in IAS . Safety standard analysis for IAS . Resilience metrics and models for IAS . Resilience strategies and plans for IAS . Recovery systems for IAS resiliency . Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases . Applications and Software Platforms for IAS . IoT and CPS for IAS . Smart cities . IAS for industrial and production CPS . Autonomous robots and vehicles . Human-Robot Interaction . Smart logistics (transportation, supply chain, etc) Important Dates . Submission Date: 25 April,2021 . Notification to Authors: 25 May, 2021 . Camera Ready Submission: 4 June, 2021 Submission System . https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From joerg.stueckler at tuebingen.mpg.de Mon Feb 15 03:32:41 2021 From: joerg.stueckler at tuebingen.mpg.de (Joerg Stueckler) Date: Mon, 15 Feb 2021 09:32:41 +0100 Subject: Connectionists: [jobs] Postdoc position on vision-based scene understanding and learning-based control @ MPI-IS Tuebingen, Germany Message-ID: <5af0112e-c641-feec-574c-56167eaac1c6@tuebingen.mpg.de> We have a postdoc position open on topics of vision-based scene understanding and learning-based control in the Embodied Vision Group at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany. Please see this link for details and on how to apply: https://ev.is.mpg.de/jobs/postdoctoral-position-f-m-d-in-embodied-vision-group Preference will be given to applications received before March 7th, 2021. Best regards, Joerg Stueckler https://ev.is.mpg.de From sabu.thampi at iiitmk.ac.in Mon Feb 15 03:03:16 2021 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Mon, 15 Feb 2021 13:33:16 +0530 Subject: Connectionists: DX21: Digital Transformation Summit, 15-16 February 2021 (online) - Free registration Message-ID: Dear Colleague You are invited to the DX21: Digital Transformation Summit, 15-16 February 2021. The Summit aims to cover the latest trends and the vital aspects of digital technologies, innovations, and the potentially disruptive social transformations available to humanity for realizing a safer, greener and better tomorrow. It will be an exciting opportunity for thought leaders, knowledge seekers and practitioners to connect, share/integrate ideas/knowledge, and build collaborations with innovate and enterprising minds from various walks of life. The Summit is organised by Kerala University of Digital Sciences, Innovation and Technology (formerly IIITM-K) in association with IEEE Communication Society Kerala Chapter and ACM Trivandrum Professional Chapter. Program Link: https://duk.ac.in/dx21/ Grab your FREE tickets for the online Summit at shorturl.at/bcBUW Blockchain-Powered Participation Certificates will be issued to all participants. Contact: dx21 at iiitmk.ac.in Best regards Team, DX 21 -- Sabu M. Thampi Professor, School of CS/IT Center for Research and Innovation in Cyber Threat Resilience (CRICTR) Indian Institute of Information Technology and Management - Kerala (IIITM-K) Technopark Campus, Trivandrum-695581, Kerala, India Ph. +91-471-2784117, Mobile: +91-9447103005 E-mail: sabu.thampi at iiitmk.ac.in, smthampi at ieee.org, sabum.iiitmk at kerala.gov.in URL: www.sabumthampi.in -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Mon Feb 15 10:18:10 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Mon, 15 Feb 2021 16:18:10 +0100 Subject: Connectionists: [CFP] Doctoral Symposium at the 2nd Int. Conf. on Autonomic Computing and Self-Organizing Systems (ACSOS) Message-ID: +*************************************************+ +********* Doctoral Symposium @ACSOS 2021 ********+ +*************************************************+ +???????????????????????????????????????????????? + +? Doctoral Symposium held at the???????????????? + +? 2nd IEEE International Conference on?????????? + +? Autonomic Computing & Self-Organizing Systems? + +???????????????????????????????????????????????? + +? 27 September -- 1 October 2021???????????????? + +? Washington, DC, USA??????????????????????????? + +???????????????????????????????????????????????? + +? http://2021.acsos.org/???????????????????????? + +? https://twitter.com/ACSOSconf????????????????? + +???????????????????????????????????????????????? + +++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++ *************************************************** **************** Important? Dates ***************** *************************************************** - Submission deadline: June 26th, 2021 - Notification to authors: August 1st, 2021 - Camera Ready deadline: August 13th, 2021 - ACSOS conference: September 27th - October 1st, 2021 *************************************************** *********? About the Doctoral Symposium? ********** *************************************************** The second IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) provides a forum to share the latest research results, ideas and experiences in autonomic, self-adaptive, and self-organizing systems. ACSOS was founded in 2020 as a merging of the two long-running IEEE ICAC and SASO conferences, bringing together the two leading communities in this research space. The Doctoral Symposium provides an international forum for PhD students working in ACSOS-related research fields to present their work to a diverse audience of leading experts in the field, to gain both insightful feedback and discussion points around their research as well as the invaluable experience of presenting new research to an international audience. The symposium has a strong history, though ICAC and SASO, of connecting young researchers with highly experienced peers to forge connections, which can last for many years. PhD students are invited to submit a two-page abstract, with another page for references, which should use the below format to describe the key motivation of their research, the major contribution (either actual or expected, depending on the research stage), discuss their methodology, and present the current status of the research. Authors of accepted papers will have the opportunity to present their work both at the doctoral symposium and in brief at the main conference itself, offering a very wide audience for their research. Students at any stage of their PhD are welcome to submit. Reviews, feedback, and expectations will be adapted appropriately to the relative stage of each submission. *************************************************** **************? Mentoring Programme? ************** *************************************************** This year the Doctoral Symposium will employ a mentoring program, in which every author of an accepted paper will be paired with an experienced mentor from the community. Mentors will help introduce the student to the community, offer extended discussion of their research objectives and career opportunities, and will host their students throughout the event to help gain the best experience from an international conference. *************************************************** ************? Submission Instructions? ************ *************************************************** Submissions should use the IEEE Computer Society Press format (https://www.ieee.org/conferences/publishing/templates.html) and should be a maximum of 2 pages long, with an extra page permitted for references. Authors should submit their abstracts to EasyChair at https://easychair.org/conferences/?conf=acsos2021 Because the doctoral symposium focuses on the work of specific PhD students, please note that only single-author submissions are permitted, with the name of the PhD supervisors included below that of the author. All submissions should have the following specific structure: Motivation and challenges: explain why this research is important, and identify the key research question and challenges that have yet to be addressed by the community - including limitations of current approaches Contribution and objectives: present the main contribution of the research, in a way that a non-expert could clearly understand, then present the detailed objectives of your research, highlighting why your work is novel in comparison to existing research Methodology and preliminary results: present the methodology of your approach, discussing why it is suitable to your contribution, and also present any preliminary results if you have them, including a statement about the current status of your work Future work and research plan: summarise your intended future work, and provide a schedule of milestones with a discussion of their feasibility Authors of accepted submissions will prepare a final (camera-ready) version of their abstract, taking into account reviewers? feedback. Doctoral symposium papers will be submitted to IEEE Xplore as part of the ACSOS proceedings and will be made available in the IEEE Digital Library. *************************************************** *************? Symposium Organisers? ************** *************************************************** Sven Tomforde, Christian-Albrechts-Universit?t zu Kiel, Germany - st at informatik.uni-kiel.de Mohamed Bakhouya, International University of Rabat - mohamed.bakhouya at uir.ac.ma *************************************************** ***************? Review Committee? **************** *************************************************** Mohamed Bakhouya, International University of Rabat Antonio Coronato, ICAR-CNR Vincenzo De Florio, Vrije Univ Brussel. Global Brain Institute / Evolution, Complexity and COgnition research group Christian Gruhl, University of Kassel, Germany Chris Landauer, Topcy House, USA Sven Tomforde, Christian-Albrechts-Universit?t zu Kiel, Germany From max.garagnani at gmail.com Mon Feb 15 13:49:21 2021 From: max.garagnani at gmail.com (Max Garagnani) Date: Mon, 15 Feb 2021 18:49:21 +0000 Subject: Connectionists: MSc in Computational Cognitive Neuroscience -- 2021-22 applications are OPEN Message-ID: ******************************************************************************************************** The MSc in Computational Cognitive Neuroscience programme at Goldsmiths, University of London (UK) is now accepting application for PART-TIME and FULL-TIME studies in 2021-22. This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. Applications for the 2021-22 Academic Year are open. IMPORTANT: places are limited and allocated on a first-come, first-served basis. If you are considering this programme, we recommend that you apply now to avoid disappointment later. HOW TO APPLY ============= To submit an online application free of any costs, simply click on THIS LINK and follow the instructions: COURSE OUTLINE =============== This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in the biological / life (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, visit: https://coconeuro.com/ LINKS WITH INDUSTRY =================== The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Germany, Italy, and Japan. Carrying out your final project in collaboration with one of our industry partners or securing a placement with them after completion of your degree will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you very competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. Max Garagnani Maria Herrojo Ruiz -- Joint Programme Leaders, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/ Check out what our alumni have to say about this course: https://coconeuro.com/ *********************************************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristian.rodriguezrivero at gmail.com Mon Feb 15 09:40:43 2021 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Mon, 15 Feb 2021 15:40:43 +0100 Subject: Connectionists: Final CFP: Computational Intelligence for Applied Time Series Forecasting in Complex Systems (CIATSFCS) - ITISE 2021 In-Reply-To: References: Message-ID: *Special Session:* *Computational Intelligence for Applied Time Series Forecasting in Complex Systems (CIATSFCS)* *7th International conference on Time Series and Forecasting19th-21st July 2021, Gran Canaria, Spain* The best two papers will be extended to a Special Issue on "Bayesian Time Series Forecasting" at the Journal of Forecasting *Motivation* Over the past few decades, the application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80?s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field. Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences. The purpose of this session is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions in the field of automatic control. There is generally a nominal registration fee associated with attendance. This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic. *Scope* The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation. ? Time Series Analysis ? Time Series Forecasting ? Evaluation of Forecasting Methods and Approaches ? Forecasting Applications in Business, Energy and Price Demand, Hydrology, etc. ? Impact of Uncertainty on Decision Making ? Seasonal Adjustment ? Multivariate Time Series Modelling and Forecasting ? Marketing Forecasting ? Economic and Econometric Forecasting *Organizers:* Prof. Cristian Rodriguez Rivero, University of Amsterdam, c.m.rodriguezrivero at uva.nl, IEEE CIS, Co-Founder LA-CIS. Prof. Alvaro Orjuela Ca??n, Universidad del Rosario, dorjuela at ieee.org, IEEE CIS, Board of Directors of LA-CIS. Prof. H?ctor Daniel Pati?o, Universidad Nacional de San Juan, Argentine, dpatino at inaut.unsj.edu.ar. IEEE CIS. Prof. Juli?n Antonio Pucheta, Universidad Nacional de C?rdoba, Argentine, jpucheta at efn.uncor.edu. Prof. Gustavo Juarez, Universidad Nacional de Tucum?n, Argentine, juarez.gustavo at ieee.org, IEEE CIS. Prof. Leonardo Franco, School of Engineering in Informatics, University of Malaga, Spain. lfranco at lcc.uma.es. IEEE CIS. *Submission guidelines and special issue: * http://itise.ugr.es/submissions.php Manuscripts should be prepared according to Full papers should contain 10-12 pages in its final version according to the Lecture Notes in Computer Science (LNCS) format of Springer-Verlag format. Extraordinarily, other two additional pages could be considered with a supplementary fee. Templates for full papers are provided in LaTeX and Microsoft Word formats. Please, read carefully guidelines and instructions for authors that are included at Springer site. Authors must strictly follow the provided format to submit their contributions. *Important Dates* *Submission of papers/abstract by authors*: March 15th, 2021. Please, if you have problem with these deadline, contact to: ITISE at ugr.es *Notification of provisional acceptance*: April 29th, 2021. *Submission of final accepted contributions*: May 15th, 2021. Early Registration: May 15th, 2021. *Paper Submission: * https://easychair.org/my/conference?conf=itise2020# *Selection of accepted full papers will be published at **Contribution to Statistics (Springer)* *Information about ITISE 2021:* http://itise.ugr.es/ We look forward to receiving your high-quality submissions!! Cristian Rodriguez Rivero, Ph.D., Faculteit der Natuurwetenschappen, Wiskunde en Informatica Universiteit van Amsterdam Science Park 904, 1098XH, Amsterdam, Room C2.159 LA-CIS Co-Founder, Board of Directors and Steering Committee (la-cci.org) Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar c.m.rodriguezrivero at uva.nl Cell: +31687697539 <%2B1%20%28530%29%20757-8827> Virus-free. www.avg.com <#m_2018069499962106160_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Feb 16 02:46:04 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 16 Feb 2021 09:46:04 +0200 Subject: Connectionists: ICAS 2021 Special Session References: <00c301d7038a$4ac5b4c0$e0511e40$@csd.auth.gr> Message-ID: <046901d70437$c7baf5f0$5730e1d0$@csd.auth.gr> Call for Papers: ICAS 2021 Autonomous Vehicle Vision (AVVision) Special Session (Deadline: March 03, 2021) ICAS is a flagship event sponsored by IEEE Signal Processing Society (SPS) through IEEE SPS Autonomous Systems Initiative. Special Session Website: https://avvision.xyz/icas21/ With a number of breakthroughs in autonomous system technology over the past decade, the race to commercialize self-driving cars has become fiercer than ever. The integration of advanced sensing, computer vision, signal/image processing, and machine/deep learning into autonomous vehicles enables them to perceive the environment intelligently and navigate safely. Autonomous driving is required to ensure safe, reliable, and efficient automated mobility in complex uncontrolled real-world environments. Various applications range from automated transportation and farming to public safety and environment exploration. Visual perception is a critical component of autonomous driving. Enabling technologies include: a) affordable sensors that can acquire useful data under varying environmental conditions, b) reliable simultaneous localization and mapping, c) machine learning that can effectively handle varying real-world conditions and unforeseen events, as well as ?machine-learning friendly? signal processing to enable more effective classification and decision making, and d) resilient and robust platforms that can withstand adversarial attacks and failures. The Autonomous Vehicle Vision (AVVision) Special Session at the IEEE International Conference on Autonomous Systems 2021 (ICAS'21) will cover all these topics. Research papers are solicited in, but not limited to, the following topics: Organizers Dr. Rui Ranger Fan, UC San Diego Prof. Ioannis Pitas, Aristotle University of Thessaloniki Important Dates Full Paper Submission: 03/03/2021 Notification of Acceptance: 05/21/2021 Camera-Ready Paper Submission: 06/01/2021 Submission Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures and possible references, and with one additional optional 5th page containing only references) via the IEEE ICAS 2021 conference website. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard double-column SPS IEEE conference format. IEEE ICAS 2021 requires that each accepted paper be presented by one of the authors in-person at the conference site according to the schedule to be published. Any paper accepted into the technical program, but not presented on-site will be withdrawn from the official proceedings archived on IEEE Xplore. More details can be found at https://2021.ieee-icas.org/authors/call-papers. ---------- Forwarded message --------- From: Mark Coates, Prof. > Date: Fri, Feb 12, 2021 at 6:20 AM Subject: ICAS 2021 Special Session To: Rui FAN > Cc: pitas at csd.auth.gr >, pitas at aiia.csd.auth.gr >, Arash Mohammadi > (arash.mohammadi at concordia.ca ) >, malika_meghjani at sutd.edu.sg > Dear Organizers, Congratulations! We are glad to inform you that your proposal entitled " Autonomous Vehicle Vision (AVVision)" has been approved for inclusion in the IEEE ICAS 2021's Special Session (SS) Programme. The committee and reviewers were impressed by the proposal. One recommendation was that you could perhaps consider modifying the title of the proposal to narrow the scope and construct a more focused special session. Additionally, you could consider eliminating topics ?d) hardware and software codesign? and ?f) end-to-end system integration?. These are not mandatory changes, but the overall impression of the committee was that in its current form the scope of the session is very broad. The "Paper Submission Deadline" for SS papers is March 3, 2021 as such please contact authors of the proposed contributed papers in your SS to proceed with submission of their papers in a timely fashion. Congratulations again and looking forward to hosting your SS at ICAS'2021. Warm Regards, IEEE ICAS 2021's Special Session Chairs. Malika Meghjani and Mark Coates Mark Coates Professor Electrical and Computer Engineering McGill University -- Rui (Ranger) Fan, Ph.D. (University of Bristol, UK) I will join Tongji University in Fall 2021 as a Research-Track Full Professor. I have several Master/Ph.D./Postodc openings! ruirangerfan.com Postdoc, UC San Diego rfan at ucsd.edu UC, San Diego 9500 Gilman Drive La Jolla, CA 92093 Virus-free. www.avast.com -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ~WRD0005.jpg Type: image/jpeg Size: 823 bytes Desc: not available URL: From timofte.radu at gmail.com Tue Feb 16 07:53:05 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Tue, 16 Feb 2021 13:53:05 +0100 Subject: Connectionists: CFP: CVPR 2021 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 11 CHALLENGES NTIRE: 6th New Trends in Image Restoration and Enhancement workshop and challenges on defocus, deblurring, super-resolution, learning SR space, nonhomogeneous dehazing, image quality assessment, relighting, aerial image classification, enhancement of compressed videos, HDR In conjunction with CVPR 2021, June 15, Nashville, USA (VIRTUAL). Website: https://data.vision.ee.ethz.ch/cvl/ntire21/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings ? Image/video processing on mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation, depth estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. http://cvpr2021.thecvf.com/node/33 The review process is double blind. Accepted and presented papers will be published after the conference in the CVPR 2021 Workshops Proceedings. Author Kit: http://cvpr2021.thecvf.com/sites/default/files/2020-09/cvpr2021AuthorKit_2.zip Submission site: https://cmt3.research.microsoft.com/NTIRE2021 WORKSHOP DATES ? *Regular Papers Submission Deadline: March 05, 2021* ? Challenge Papers Submission Deadline: April 02, 2021 IMAGE CHALLENGES 1. *Defocus Deblurring using Dual-Pixel Images* 2. *Depth Guided Relighting *(one-to-one and any-to-any) 3. *Perceptual Image Quality Assessment* 4. *Deblurring *(low resolution and JPEG artifacts) 5. *Multi-model Aerial View Classification* (SAR and EO) 6. *Learning the Super-Resolution Space * 7. *Nonhomogeneous Dehazing* VIDEO / MULTI-FRAME CHALLENGES 1. *Enhancement of Compressed Videos *(fixed bit-rate and fixed QP) 2. *Super-Resolution *(Spatial and Spatio-Temporal) 3. *Burst Super-Resolution* (Real and Synthetic) 4. *High Dynamic Range (HDR) * To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2021 web page: https://data.vision.ee.ethz.ch/cvl/ntire21/ For those interested in constrained and efficient solutions validated on mobile devices we refer to the CVPR21* Mobile AI Workshop and Challenges:* https://ai-benchmark.com/workshops/mai/2021/ CHALLENGES DATES ? Release of train data: January 10, 2020 ? *Competitions end: March 20, 2020* ORGANIZERS ? Radu Timofte, ETH Zurich ? Shuhang Gu, OPPO & University of Sydney ? Kyoung Mu Lee, Seoul National University ? Michael S. Brown, York University ? Andreas Lugmayr, ETH Zurich ? Goutam Bhat, ETH Zurich ? Martin Danelljan, ETH Zurich ? Cosmin Ancuti, Universit? catholique de Louvain (UCL) ? Codruta O. Ancuti, University Politehnica Timisoara ? Lei Zhang, Alibaba & The Hong Kong Polytechnic University ? Ming-Hsuan Yang, University of California at Merced & Google ? Eli Shechtman, Creative Intelligence Lab at Adobe Research ? Seungjun Nah, Seoul National University, Korea ? Abdullah Abuolaim, York University, Canada ? Eduardo Perez-Pellitero, Huawei Noah's Ark Lab, UK ? Ales Leonardis, Huawei Noah's Ark Lab & University of Birmingham ? Seungjun Nah, Seoul National University ? Sanghyun Son, Seoul National University ? Suyoung Lee, Seoul National University ? Ren Yang, ETH Zurich ? Ruofan Zhou, EPFL ? Majed El Helou, EPFL ? Sabine S?sstrunk, EPFL ? Chao Dong, SIAT ? Jimmy Ren, SenseTime ? Oliver Nina, AF Research Lab ? Bob Lee, Wright Brothers Institute ? Jinjin Gu, University of Sydney ? Luc Van Gool, KU Leuven and ETH Zurich SPEAKERS (TBA) SPONSORS (TBA) Website: https://data.vision.ee.ethz.ch/cvl/ntire21/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefan.haufe at charite.de Tue Feb 16 09:11:03 2021 From: stefan.haufe at charite.de (Haufe, Stefan) Date: Tue, 16 Feb 2021 14:11:03 +0000 Subject: Connectionists: 10 PhD/Postdoc positions on metrology for AI in medicine at PTB Germany Message-ID: <9E39A09B12EFAE4FB14BED96FB93BBF38749DD55@s-mx14-mb0103.charite.de> Dear colleagues, I would be grateful if you could circulate the following announcement. Ten PhD or Postdoc positions are available at the German national metrology institute (PTB) in Berlin and Braunschweig: Topics are centered around metrological aspects (robustness, uncertainty, interpretability) of artificial intelligence in medicine. Please go to is.gd/WYHec1 for details and instructions on the application process. Further information is available under the following links: * on the general research program these positions are embedded in: is.gd/24hYaD * on PTB's AI strategy for medicine: is.gd/Y0cYWv * press release: is.gd/ukCIh9 Candidates specifically interested in one of the first three projects 1. Towards standardized quality control for artificial intelligence systems in critical care (is.gd/HpWzAh) 2. Machine learning and uncertainty quantification for bioelectromagnetic inverse solutions and signal separation methods (is.gd/cdWi1E) 3. Advancing the theory and practice of machine learning model explanations in biomedicine (is.gd/3iPwnu) are encouraged to get in touch with me through haufe_ptb_applications at mailbox dot org . Best wishes, Stefan Haufe From rsarkar at inf.ed.ac.uk Tue Feb 16 17:42:42 2021 From: rsarkar at inf.ed.ac.uk (Rik Sarkar) Date: Tue, 16 Feb 2021 22:42:42 +0000 Subject: Connectionists: Postdoc in distributed privacy preserving machine learning at U. Edinburgh (Deadline 17 Feb) Message-ID: <011EA180-F2E8-462B-9F20-A648EECA7F51@inf.ed.ac.uk> A postdoctoral position is available at University of Edinburgh, in the area of distributed, privacy preserving machine learning. Duration: 1 year. (starting summer 2021) Application deadline: 17 Feb 2021. For more details, see: http://homepages.inf.ed.ac.uk/rsarkar/positions/faircrowd.html Rik -- Rik Sarkar Deputy Director, Laboratory for Foundations of Computer Science School of Informatics The University of Edinburgh 10 Crichton street, IF 3.45 Edinburgh EH8 9AB Ph: +44 (0) 131 650 4444 rsarkar at inf.ed.ac.uk http://homepages.inf.ed.ac.uk/rsarkar/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: From fabio.bellavia at unifi.it Tue Feb 16 15:58:37 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 16 Feb 2021 21:58:37 +0100 Subject: Connectionists: CFP - Elsevier Journal of "Environmental Modelling & Software" journal, special Issue on "Machine Learning Advances Environmental Science" Message-ID: <2aba6eae-6f83-64f8-760f-1e273c74f087@unifi.it> Dear all, I have received the following CFP with the kindly request to circulate among possible interested parties. Thanks for your cooperation, Fabio Bellavia --- apologies for multiple posting, please distribute among interested parties ========================================================================== Environmental Modelling & Software Official Journal of the International Environmental Modelling & Software Society Special Issue: Machine Learning Advances Environmental Science ============================================================== |>> https://www.journals.elsevier.com/environmental-modelling-and-software/call-for-papers/machine-learning-advances<<| ============ Aim & Scope ============ Environmental data are growing steadily in volume, complexity and diversity to Big Data, mainly driven by advanced sensor technology. Machine Learning offers new techniques for unravelling complexity and knowledge discovery from Big Data in environmental sciences. The aim of the SI is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose, the SI welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to diverse domains of environmental research, that demonstrate how Machine Learning improves our understanding of natural systems, socio-environmental interactions, or tackling the inherent complexity of environmental Big Data. Application domains may vary, and include for instance recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species. Contributions are expected to have a strong methodological contribution to environmental sciences research, and applications of known methods in new case studies will not be considered. The SI offers a place for Machine Learning and Environmental research communities to interact, and demonstrate the advances of Machine Learning for the Environmental Sciences. Prospective contributions should clearly indicate their contribution in tackling open problems in environmental research that still have not properly benefited from Machine Learning. The SI is inspired by the first Workshop on Machine Learning Advances Environmental Science (MAES) held at International Conference on Pattern Recognition (ICPR) 2020, held on January 10-15, 2021. ?uthors should consult the general author guidelines of the journal [1] and submit their articles through the Editorial Manager submission system [2]. When submitting the manuscript, select as article type ?VSI-Mach.Learn.Adv.Env.Sc?. [1]: https://www.elsevier.com/journals/environmental-modelling-and-software/1364-8152/guide-for-authors [2]: https://www.editorialmanager.com/envsoft/default.aspx ========== Timetable ========== 01 Feb 2021 - Open for submissions 01 July 2021 - ***Submission deadline*** July-August 2021 - Author notifications & revisions September 2021 - Final editorial decisions December 2021 - Publication ================ Editor-in-Chief ================ D.P. Ames, Brigham Young University, Provo, Utah, United States ============== Guest Editors ============== Ioannis N. Athanasiadis, Wageningen University and Research, The Netherlands Francesco Camastra, University of Naples Parthenope, Italy Friedrich Recknagel, University of Adelaide, Australia Antonino Staiano, University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From pablo.alvesdebarros at iit.it Tue Feb 16 11:01:35 2021 From: pablo.alvesdebarros at iit.it (Pablo Vinicius Alves De Barros) Date: Tue, 16 Feb 2021 16:01:35 +0000 Subject: Connectionists: CFP Frontiers Research Topic: Affective Shared Perception In-Reply-To: References: Message-ID: <986d8211663c470c87ddb482495c862d@iit.it> Extended Deadline: Call For Papers - Frontiers Research Topic: Affective Shared Perception I. Aim and Scope Our perception of the world depends on both sensory inputs and prior knowledge. This applies in general to sensing and has particular implications for affective understanding. Humans adapt their social and affective perception as a function of the current stimulation, of the context, of the history of the interaction, and as of the status of the partner. This influences their behavior, which in turn modifies the social and affective perception of both partners and the evolution of the interaction. Understanding shared perception as part of affective processing will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this research topic is to present and discuss new findings, theories, systems, and trends in affective shared perception and computational models. We are interested in collecting interesting and exciting research from researchers on the areas of social cognition, affective computing, and human-robot interaction, including also, but not restricted to specialists in computer and cognitive science, psychologists, neuroscientists, and specialists in bio-inspired solutions. We envision that it will allow us to tackle the existing problems in this area and it will provide the next step towards a real-world affective computing system. II. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on a shared perception - Assistive aspects and applications of shared affective perception III. Submission - Paper Submission - 23 March 2021 IV. Guest Editors Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy Ginevra Castellano, Uppsala University, Uppsala, Sweden Yukie Nagai, The University of Tokyo, Bunky?, Japan ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia ? Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros at iit.it website: https://www.pablobarros.net twitter: @PBarros_br -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Tue Feb 16 14:26:49 2021 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Tue, 16 Feb 2021 20:26:49 +0100 Subject: Connectionists: =?utf-8?q?ESANN_2021_SS_CFP_-_Federated_Learning_?= =?utf-8?q?=E2=80=93_Methods=2C_Applications_and_Beyond?= Message-ID: -- Apologies in advance for multiple postings -- Call for Papers Special Session on 'Federated Learning ? Methods, Applications and Beyond' 06-08 October 2021, Bruges, Belgium https://www.esann.org/ AIMS AND SCOPE In today?s world, important data is often distributed over different facilities or devices. E. g. in the context of the internet of things, smart devices, or the health care domain. In the latter one, different hospitals and private doctors, will hold different information of the same patient and models can be derived in a federated learning scheme to avoid data transmissions and to ensure privacy constraints. Just collecting data from all facilities/devices as it is, is mostly forbidden due to data privacy reasons. One direction to address this issue is given by means of differential privacy concepts. Another problem is, that in some scenarios, the data in some of the facilities are changing rapidly, and thus updated data would need to be sent to the model very frequently. Thus, minimizing communication effort is also a challenge. To address this issue, there currently exist different algorithms of the Federated Learning domain, like Federated Averaging (FedAvg), which address these problems. This special session welcomes novel research and applications in the field of Federated Learning and beyond. Especially addressing the challenges of expensive communication, systems heterogeneity, statistical heterogeneity, and privacy concerns. TOPICS We encourage the submission of papers on novel Federated Learning methods by means of computational intelligence and machine learning approaches, including but not limited to: - data analysis and pattern recognition approaches for federated environments - preprocessing approaches in collaborative learning - learning in heterogeneous systems - effective communication for updating distributed models - representation and modelling of distributed models - approximation techniques for Federated Learning - online and incremental learning (dimensionality reduction, classification, clustering and regression, outlier detection) with a particular design for federated environments - Federated Transfer Learning algorithms - Vertical Federated Learning algorithms - Horizontal Federated Learning algorithms - security and privacy preservation in federated environments - differential privacy techniques - model compression and adaptive model aggregation - application of Deep Learning in the Federated Learning context - particular interesting applications for Federated Learning e.g. in IoT, recommendation systems, medicine, sensor networks, text processing... SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: ? Paper submission deadline: 10 May 2021 ? Notification of acceptance: 20 July 2021 ? Deadline for final papers: 20 August 2021 ? The ESANN 2021 conference: 06-08 October 2021 SPECIAL SESSION ORGANIZERS: ? Frank-Michael Schleif, University of Birmingham, Birmingham, UK ? Fabrice Rossi, CEREMADE, University Paris Dauphine PSL ? Christoph Raab, University of Bielefeld, Germany ? Moritz Heusinger, University of Appl. Sc. Wuerzburg-Schweinfurt, Germany -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From pkoenig at uos.de Wed Feb 17 05:12:41 2021 From: pkoenig at uos.de (=?UTF-8?Q?Peter_K=c3=b6nig?=) Date: Wed, 17 Feb 2021 11:12:41 +0100 Subject: Connectionists: 15 PhD positions in Translational Vision Science, OptiVis project Message-ID: 15 PhD positions in Translational Vision Science It is essential to know what visually impaired individuals can do with their residual vision in daily life activities, otherwise known as their "functional vision". Conventional ophthalmic tests (e.g. visual field tests) are able to detect the extent of a visual defect, but they yield little information about functional vision. This lack of appropriate tests impedes the optimal practice of diagnostics (in ophthalmic and neurological care, in particular of children and elderly), rehabilitation and classification (essential in sports competitions). Our European MARIE SK?ODOWSKA-CURIE Innovative Training Network (ITN) OptiVisT aims to resolve this by (1) gaining new Insights: i.e. a fundamental understanding of the visual demands of activities of daily living and sports; (2) developing Solutions: i.e. creating new objective, inclusive and engaging tools for testing, training and augmenting functional vision; and (3) the Application of 1 and 2: evaluating the effectiveness of our new tools in diagnostics, rehabilitation and classification in practice. Are you, like us, fascinated by vision, the brain and technology and consider it important to help visually impaired people? Do you have an inquisitive mind, and are you looking for a PhD position embedded in an international innovative training network in which you can develop your research, technical or clinical skills? Then consider applying with OptiVisT and join one of our 15 PhD projects (overview below). We offer PhD positions in academia, medical, technology and rehabilitation institutes, and high-tech companies. Curious to see and hear more about what it means to be part of such Innovative Training Network? Check out these two short movies about our previous ITNs NextGenVis and EGRET+. If you are interested in one of our PhD positions, visit our website (www.optivist.eu) for more information on our application procedures. The deadline for applying for this project is February 28th, 2021. General questions can be directed to info at optivist.eu. Project specific questions can be directed to the project contacts as mentioned on the website. Best, Peter K?nig (on behalf of the Optivis Consortium) -- Prof. Dr. Peter K?nig, Institute of Cognitive Science, University Osnabr?ck From pattichi at ucy.ac.cy Wed Feb 17 06:06:29 2021 From: pattichi at ucy.ac.cy (Constantinos Pattichis) Date: Wed, 17 Feb 2021 13:06:29 +0200 Subject: Connectionists: [CAIP2021] CAIP 2021 - VIRTUAL CONFERENCE - Call for Papers In-Reply-To: References: Message-ID: CAIP 2021 TO BE ORGANISED AS A VIRTUAL CONFERENCE *Due to the COVID-19 global pandemic, CAIP 2021 will be held as a virtual conference. The Organizing Committee would like to thank you for your commitment and support and reassure you that they are dedicated to offering the best possible online experience to attendees.* Call for Papers*http://cyprusconferences.org/caip2021 * CAIP 2021 is the 19th in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Salerno, Ystad, Valletta, York, Seville, M?nster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track. Furthermore, CAIP 2021 will feature contests and tutorials preceding the main conference event, as well as workshops following the main conference event. CAIP 2021 will also host a student?s paper competition. *Fields of Interest* The conference invites novel contributions to the automatic analysis of images and patterns, encompassing both new challenging application areas and substantial new theoretical developments in the field. - 3D Vision - Biomedical image and pattern analysis - Biometrics - Brain ? inspired methods - Computer Vision Accelerators - Deep Learning - Document analysis - Egocentric Vision - Face and gestures - Feature Extraction - Graph-based methods - High ? dimensional topology methods - Human pose estimation - Image restoration - Image/video indexing & retrieval - Keypoint detection - Machine learning for image and pattern analysis - Mobile multimedia - Model-based vision - Motion and tracking - Object recognition - Segmentation - Shape representation and analysis - Vision for robotics / drones/ UAVs *Special Research Award* CAIP 2021 will give a special research award for the best paper of the conference associated to COVID-19 research, in order to honor those who have lost their lives and the heroes and the volunteers associated to the COVID-19 crisis. Committees *General Chairs* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Andreas Lanitis* *CYENS & Cyprus University of Technology, Cyprus* *Nicolai Petkov* *University of Groningen, Netherlands* *Program Chairs* *Nicolas Tsapatsoulis* *Cyprus University of Technology, Cyprus* *Andreas Panayides* *University of Cyprus, Cyprus* *Theo Theocharides* *KIOS & University of Cyprus, Cyprus* *Mario Vento* *University of Salerno, Italy * *LOC* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Constandinos Mavromoustakis* *IEEE Cyprus Section & University of Nicosia Research Foundation, Cyprus* *Alexis Polycarpou* *IET Cyprus* *Toumazis Toumazi* *Cyprus Computer Society* Important Dates *Tutorial/ Workshop proposal submission* 01 March 2021 *Tutorial/ Workshop acceptance notification* 15 March 2021 *Paper Submission* 01 April 2021 *Author notification* 15 June 2021 *Camera-ready paper due* 01 July 2021 *Early bird registration* 31 July 2021 Contact *For Academic Enquiries please contact:* *Prof. Constantinos S. Pattichis *pattichi at ucy.ac.cy *For Arrangements and Registration Information:* *Easy Conferences *info at easyconferences.eu *Organized and Sponsored by* [image: cid:image001.png at 01D6F3C1.F099B050] *Endorsed by* [image: cid:image004.jpg at 01D6D496.3800FCA0] *Co-Organizers & Co-Sponsors* [image: cid:image010.jpg at 01D6D496.3E127BF0] *Technical Co-Sponsors* [image: cid:image011.jpg at 01D6D496.3E127BF0] cyprusconferences.org/caip2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 5249 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image010.jpg Type: image/jpeg Size: 2687 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Paul Wiegand. ======================================== R. Paul Wiegand Computer Science & Quantitative Methods Winthrop University ======================================== From dorien.herremans at gmail.com Thu Feb 18 02:07:10 2021 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Thu, 18 Feb 2021 15:07:10 +0800 Subject: Connectionists: Last call - Exclusive PhD studentships in AI and Fintech Message-ID: Hi all, AI.SG is offering scholarships to top students who are interested in AI research. My lab at Singapore University of Technology and Design, AIFi, has positions for those interested in research on AI for finance. Since this is an elite scholarship you can only apply if you have: - High GPA - Master's degree, or existing core ranked publications (grants criteria, not mine :) More information on the scholarship: https://www.aisingapore.org/research/aisg-phd-fellowship-programme/ If you are interested in applying, please apply on the SUTD PhD portal and send me your application number asap as applications are being considered very soon. Best, Dorien -- Dorien Herremans, PhD Assistant Professor, ISTD & DAI Director, SUTD Game Lab Lead, AMAAI (Audio, Music and AI Lab) http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 1.502-18 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Feb 18 02:31:02 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 18 Feb 2021 09:31:02 +0200 Subject: Connectionists: Last registartion February 23: Short e-course on Computer Vision and Image Processing, 24-25th February 2021 Message-ID: <006701d705c8$0319f5b0$094de110$@csd.auth.gr> Dear Computer Vision/Image Processing engineers, scientists and enthusiasts, you are welcomed to register in this short e-course on 'Computer Vision and Image Processing', 24-25th February 2021. It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Computer Vision and Image Processing' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A (8 hours) provide an in-depth presentation of Image Processing theory and its application in the above-mentioned diverse domains. First, an Introduction to Image Processing and Computer Vision will be offered to clarify concepts in a precise and mathematical way. Image formation and its issues (e.g., image noise, deformations) will then be detailed, whether based on visible light or on other modalities (e.g., Xrays, Ultrasound). Image sampling will provide the necessary background to understand the potential and limitations of digital images. 2D Signals and Systems will provide the theoretical and algorithmic tools for most image processing operations. Then notions related to Image transforms will be clarified, together with their applications in image/video analysis and compression. Fast 2D convolution algorithms will provide efficient implementation of most image processing operations. Image perception will overview the Human Visual System and its impact on image quality and image processing system design specifications. Finally, Image filtering will provide tools to reduce noise and enhance image quality, e.g., to increase contrast, perform image zooming or printing. Part B (8 hours) provide fan in-depth presentation of both 2D and 3D Computer Vision and Image Analysis theory and their applications in the above-mentioned diverse domains. Edge detection will allow to extract reliable object contours. Region segmentation and Texture description will detail segmentation of an image into homogeneous regions. Either edge or region object descriptions will be employed in 2D object shape analysis. 3D Computer Vision starts with a detailed presentation of image acquisition and camera geometry, including camera calibration. Then, two lectures on a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. Finally, Object tracking is presented, as it is of primary importance (together with object detection presented in the ML DNN e-course) in practically all the above-mentioned Computer Vision applications and way beyond. Course lectures Part A Image Processing (first day, 8 lectures): 1. Introduction to Image Processing and Computer Vision 2. Image Formation 3. Image Sampling 4. 2D Systems 5. Image Transforms 6. Fast 2D Convolution Algorithms 7. Image Perception 8. Image Filtering Part B Computer Vision (second day, 8 lectures): 1. Edge Detection 2. Region Segmentation. Texture Description 3. Shape Description 4. Image Acquisition. Camera Geometry 5. Stereo and Multiview Imaging 6. Structure from Motion 7. 3D Robot Localization and Mapping 8. Object Tracking Though independent, the attendees of this short e-course will greatly benefit by attending the CVML short e-course on 'Machine Learning and Deep Neural Networks' 17-18th February 2021: CVML Short Course - Machine Learning and Deep Neural Networks You can use the following link for course registration: https://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processin g/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From ccht at iit.it Thu Feb 18 08:55:45 2021 From: ccht at iit.it (ccht) Date: Thu, 18 Feb 2021 13:55:45 +0000 Subject: Connectionists: PostDoc in Machine Learning/Computer Vison and Robotics - Venice Message-ID: <75201d71defa45969020271911996ed2@iit.it> PostDoc in Machine Learning/Computer Vison and Robotics - 2100000V The Centre for Cultural Heritage Technology (CCHT) of the Istituto Italiano di Tecnologia (IIT) in Venice focuses on researching and promoting new technologies for recording, documenting, analyse and preserve Cultural Heritage in a broad sense (artistic, archaeological, archival, historical heritage). A strongly interdisciplinary infrastructure, the Centre combines expertise from computing and conservation sciences domains, integrating these competencies to foster cutting-edge research. CCHT is currently seeking to appoint a Junior PostDoc with a solid background in Robotics and Machine Learning applied to Computer Vision (3D modelling/reconstruction). The appointed researcher will consolidate CCHT expertise in the development of a 3D digitisation system using robotic arms to capture multiview images of Cultural Heritage objects. Required qualifications: * A Ph.D. in computer science or related field (with preferred specialisation in Machine Learning/CV and/or Robotics); * Experience in developing scripts to control robotic arms (e.g. UR robots); * Experience in Deep neural network model design and implementation (using common frameworks as Pytorch, TensorFlow, etc.); * Proficiency with programming languages (e.g., Python, C/C++); * Proficient in English language (written and oral); * Experience in the computer vision field (for example, but not limited to, 3D reconstruction from RGBD data, photometric stereo, structure from motion, structured light systems, etc.) or machine learning applied to computer vision. Desirable skills: * Strong track record of research publications in top tier conferences and journals (e.g. CVPR, ICCV, ECCV, NIPS, TPAMI, IJCV, IVC, CVIU); * Good communication skills and ability to cooperate; * Interest in cultural heritage (applications to archaeology, art, artefact studies etc.) and, more broadly, Digital Humanities. The successful candidate will be offered a competitive salary commensurate to experience and skills. The call will remain open until the position is filled, but a first deadline for the evaluation of candidate will be on March 15th 2021. Your application must include (as separate documents): * a detailed CV (including a list of publications) * a research statement, expanding on current and past research * 2 representative publications in PDF or (open access) links to them * name and contacts of two referees Your application must be submitted through the online form. Istituto Italiano di Tecnologia (IIT), with its headquarters in Genova, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy?s technological competitiveness. The institute offers state-of-the-art equipment and a top-level interdisciplinary research environment focused on robotics and computer vision, neuroscience, drug discovery, nanoscience and technology. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. We inform you that the data you provide will be processed for the sole purpose of evaluating professional profiles and selecting them according to the needs of the Fondazione Istituto Italiano di Tecnologia. Your data will be processed by the Fondazione Istituto Italiano di Tecnologia, based in Genova, Via Morego, 30, as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. We also inform you that, pursuant to article 15 and following articles of EU Regulation 2016/679 ("General Data Protection Regulation"), you may exercise your rights at any time by contacting the Data Protection Officer (telephone 010 28961 - email: dpo[at]iit.it) Primary Location VENEZIA Job Postdoc Organization Cultural Heritage Technologies Apply online: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2100000V [cid:image001.png at 01D70606.21921070] Center for Cultural Heritage Technology at Ca?Foscari VEGA - Parco Scientifico Tecnologico di Venezia Porta dell?Innovazione Via della Libert?, 12 30175 - Marghera (VE) Italy twitter.com/IITalk www.facebook.com/IITalk www.iit.it DONA IL TUO 5X1000 ALL?ISTITUTO ITALIANO DI TECNOLOGIA codice fiscale 97329350587 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10737 bytes Desc: image001.png URL: From rskhorshidi at gmail.com Thu Feb 18 03:43:37 2021 From: rskhorshidi at gmail.com (Reza Khorshidi) Date: Thu, 18 Feb 2021 08:43:37 +0000 Subject: Connectionists: Oxford Machine Learning Summer School (OxML 2021) -- Call for Application Message-ID: <28F57BCB-EA27-47DC-BBEF-6DADFA9E5BA3@gmail.com> We are excited to announce that the application for Oxford Machine Learning Summer School (OxML 2021) is now open. Location: Virtual/Online Dates: August 9-20, 2021 (two weeks) Application deadline: April 30, 2021 Website: www.oxfordml.school About OxML OxML schools have a special focus on ML and SDG ; in addition to theoretical ML lectures, there will also be lectures on the applications of ML in SDG topic areas. OxML 2021 is organised by AI for Global Goals, and in partnership with The University of Oxford?s Deep Medicine Program, and CIFAR . You can find out more about last year?s event (OxML 2020) ? including the previous speakers and agenda ? here . Last year, we hosted participants from 70+ countries and connected them to our world-renown speakers in ML (and in ML's applications in medicine, or SDG3). Due to the pandemic, and in order to prioritise our speakers? and participants? health and safety, OxML 2021 will take place August 9-20, 2021 and will be an online event. OxML 2021 will cover more topics in both theoretical and applied ML The more theoretical lectures on modern ML/DL topics will cover: Statistical/probabilistic ML (e.g., Bayesian ML, Gaussian processes, ...) Representation learning, computer vision, and NLP (e.g., neural sequence models, knowledge graphs, ...) Causal ML (e.g., probabilistic graphical models, causal deep learning, ...) Graph neural networks and Geometric DL Federated learning, transfer learning, knowledge distillation, and more The applied lectures (on ML and SDG) will cover: ML and Medicine (e.g., imaging, genomics, electronic health records (EHR), drug discovery, ?) [~2 days] ML and Social Good (e.g., climate action, emerging risks, sustainable cities, ?) [~1.5 days] Speakers The school?s world-renowned speakers are from top ML research groups (e.g., Oxford, Cambridge, CIFAR, Amazon, DeepMind, Microsoft Research, and more). The speakers? bios and more details on their talks will be announced in the coming weeks (you can follow the updates via the school?s website and Twitter handle). Target audience Everyone is welcome to apply to OxML 2021 regardless of their origin, nationality, and country of residence. Our primary target audience are (1) PhD students with good technical background whose research topics are related to ML, plus (2) researchers and engineers in both academia and industry with similar/advanced levels of technical knowledge. All applicants are subject to a selection process; we aim to select strongly motivated participants, who are interested in broadening their knowledge of the advanced topics in the field of ML/DL and their applications. Application The application deadline is April 30, 2021; those interested can apply through the application page or via the School's website. The application portal may close earlier than the deadline if the number of applications exceeds our capacity to review (last year we had more than 10x more applicants than we planned to accept). There is no application fee. For the accepted applicants, there will be a registration fee (please refer to the application form or FAQ page for more details). Participants will have access to all lectures, plus the event?s community portal (e.g., Q&A and chat environment for participants and speakers/TAs, ML programming workshops, recordings of the lectures [for a limited time], the unconference track, networking, and more). Contacting Us For any queries, you can contact us using this email address: contact at oxfordml.school Of course, more information (and possible the answers to some of the questions) can be found on the FAQ section of the website. Best, ? Reza Khorshidi, D.Phil. (Oxon) Deep Medicine Program, Oxford Martin School -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Thu Feb 18 06:03:56 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 18 Feb 2021 12:03:56 +0100 Subject: Connectionists: CFP - MDPI Journal of Imaging special issue on "Fine Art Pattern Extraction and Recognition" Message-ID: apologies for multiple posting, please distribute among interested parties __________________________________________________________________________ ??????????????? ? ?? Call for Papers - Special Issue ?? ???????????????? of the MDPI Journal of Imaging on ? ? ????????? _____________________________________________ ?? ? ????????? Fine Art Pattern Extraction and Recognition ??? ? ??????? _____________________________________________ -->>> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<<-- __________________________________________________________________________ ___________ Aim & Scope Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. This special issue will provide the researchers from diverse areas such as pattern recognition, computer vision, artificial intelligence, and image processing, with the opportunity to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. _______________________________________ Topics include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio, and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition _______________________________________ Submission Deadline:? 28 February 2021 _______________________________________ Submit your paper to manuscript submission and peer review site via the following link: ->> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<- The Article Processing Charge (APC) for publication in the MDPI Journal of Imaging is 1000 CHF (Swiss Francs). ________________ Editor-in-Chief ________________ Prof. Gonzalo Pajares Martinsanz, Universitad Complutense de Madrid, Spain ______________ Guest Editors ______________ Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy From christian.machens at neuro.fchampalimaud.org Thu Feb 18 07:57:55 2021 From: christian.machens at neuro.fchampalimaud.org (Christian Machens) Date: Thu, 18 Feb 2021 12:57:55 +0000 Subject: Connectionists: Faculty Position in Comp-Neuro / ML at Champalimaud - Deadline February 28, 2021 Message-ID: Faculty Position in Computational Neuroscience / Machine Learning at Champalimaud Research - Deadline February 28, 2021 The Champalimaud Foundation (CF) invites applications for Group Leaders to join a dynamic and highly collaborative international research institute in Lisbon, Portugal. Champalimaud Research (CR) is seeking to expand its Neuroscience Programme (CNP) with one Junior Group Leader (Assistant Professor equivalent). About you We welcome applicants with expertise in modern Machine Learning and Artificial Intelligence. Suitable research areas for the recruited applicant include statistical methods for complex, high-dimensional datasets, artificial neural networks, computer vision, reinforcement learning, and control theory. We will consider candidates that work on foundational issues in these fields, as well as candidates who take more applied approaches. The ideal candidate should present a research program with both fundamental research and applied elements, and have a strong desire to collaborate with existing teams within CR and CF, including the Champalimaud Clinical Centre. Special attention will be given to applications of individuals from underrepresented groups. About the position To promote risk-taking research, generous support for salary, start-up and annual running costs will be provided. Researchers will be based at the Champalimaud Centre for the Unknown (CCU), a highly interactive and innovative scientific environment where the Neuroscience Programme is composed of groups applying a range of theoretical and experimental approaches to understand the algorithmic, physiological and circuit mechanisms of behaviour. Researchers routinely collect rich datasets ripe for development and application of new analysis tools or comparison with theory. These datasets include high dimensional neurophysiological and imaging data, to -omics, and various measures of behaviour. About us The Champalimaud Centre for the Unknown is situated on the waterfront in Lisbon. English is the official language of the Centre. Lisbon has a sunny Atlantic-Mediterranean climate, vibrant culture, international schools, convenient housing options and is considered one of the world?s safest cities. About the application Applications should include a (1) detailed scientific curriculum vitae, which may include any mentoring, outreach, or policy experiences, (2) a brief summary of past accomplishments (max. two pages), (3) a description of future research plans (max. four pages), (4) three key publications (pdf-files preferred, preprints welcome) along with (5) brief (~200 word each) descriptions of their significance, and (6) contact details for three individuals who can provide recommendation letters upon request. Applications or informal inquiries should be addressed to careers at research.fchampalimaud.org with the subject ?Neuro GL Call 2020 ? YOUR LAST NAME?. The deadline for the applications is February 28, 2021 and review of applications will begin in March, 2021. Non-discrimination and equal access policy The Champalimaud Foundation actively promotes non-discrimination and equal access, so that no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are not deemed relevant for the performance of the duties associated with the advertised position. -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.goodman at imperial.ac.uk Thu Feb 18 05:04:16 2021 From: d.goodman at imperial.ac.uk (Goodman, Daniel F M) Date: Thu, 18 Feb 2021 10:04:16 +0000 Subject: Connectionists: two faculty positions at Imperial College in 'intelligent systems' (deadline March 1st) Message-ID: We are hiring two new faculty positions in the Electrical Engineering department at Imperial College, deadline March 1st. The advert below talks about machine learning and computer vision, but actually we're open to anything that will complement the existing interests of our group (robotics, machine learning, computational neuroscience). In particular, we're looking for people who can develop new collaborations with our group, so interdisciplinary researchers touching on any of these topics please do apply! I'd also like to add that we'd particularly encourage applications from women and other groups that are underrepresented in our department. https://www.imperial.ac.uk/jobs/description/ENG01538/lecturersenior-lecturer Please do feel free to get in touch for more info. Dan -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.stein at fz-juelich.de Thu Feb 18 09:48:56 2021 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Thu, 18 Feb 2021 15:48:56 +0100 Subject: Connectionists: Valentin Braitenberg Award for Computational Neuroscience - call for nominations! Message-ID: Dear Colleagues, The Bernstein Network Computational Neuroscience invites nominations for the Valentin Braitenberg Award for Computational Neuroscience. The Bernstein Network presents the award biennially to a scientist in recognition of outstanding research that contributes to the understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentin Braitenberg's own research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The awardee receives ?5.000 prize money, donated by the Autonome Provinz Bozen S?dtirol, as well as a Golden Neuron pin. The award will be presented in a special award ceremony at the online Bernstein Conference 2021, followed by a keynote lecture of the Braitenberg Awardee. Nominations may be submitted by scientists working in the field of computational neuroscience and should include the following documents: - One-page laudation, in which the scientific work of the candidate is honored with regard to the award criteria - CV and list of publications Deadline for nominations is April 30, 2021 by email to a.stein at fz-juelich.de Please note that self-nominations are not permitted. The call for nominations can be found under the following URL: https://www.bernstein-network.de/en/the-network/awards/Call_Braitenberg_2020 For inquiries please contact a.stein at fz-juelich.de. Best regards, Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein at fz-juelich.de web: www.bernstein-network.de Twitter: BernsteinNeuro YouTube: Bernstein TV LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From aw665 at cam.ac.uk Thu Feb 18 14:14:35 2021 From: aw665 at cam.ac.uk (Adrian Weller) Date: Thu, 18 Feb 2021 19:14:35 -0000 Subject: Connectionists: Deadline March 18: Opportunities to work on Fairness, Interpretability and/or Robustness in Cambridge UK Message-ID: <02bc01d7062a$4bc36a50$e34a3ef0$@cam.ac.uk> Come and join the machine learning group at the University of Cambridge in the UK to work on Trustworthy Machine Learning, with a focus on Fairness, Interpretability or Robustness. We'll be building foundational technical theory and methods, working with partners in specific application settings in domains including healthcare and criminal justice. We are looking for ambitious, creative researchers to contribute to these themes. One area of interest is trying to ensure good performance not only of the AI system, but human-machine teams. Please apply by March 18 for start date Oct 1 or sooner. Research assistant/associate https://www.jobs.cam.ac.uk/job/28786/ Senior research associate https://www.jobs.cam.ac.uk/job/28776/ We are always looking to connect with collaborators and stakeholders broadly. Please be in touch if interested. Best wishes, Adrian -------------------------------------------------- Adrian Weller http://mlg.eng.cam.ac.uk/adrian/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Thu Feb 18 16:03:54 2021 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Thu, 18 Feb 2021 23:03:54 +0200 Subject: Connectionists: Call-for-Participation: ImageCLEF Social Media User Data Awareness Task Message-ID: [Apologies for multiple postings] ImageCLEFaware https://www.imageclef.org/2021/aware *** CALL FOR PARTICIPATION *** Images constitute a large part of the content shared on social networks. Their disclosure is often related to a particular context and users are often unaware of the fact that, depending on their privacy status, images can be accessible to third parties and be used for purposes which were initially unforeseen. For instance, it is common practice for employers to search information about their future employees, online. Most existing approaches which propose feedback about shared data focus on inferring user characteristics, and their practical utility is rather limited. We hypothesize that user feedback would be more efficient if conveyed through the real-life effects of data sharing. The objective of the task is to automatically score user photographic profiles in a series of situations with strong impact on her/his life. *** TASK *** Given a set of social media user profiles, participants will propose machine learning techniques which provide a ranking of these in various (unaware) usage situations. *** DATA SET *** A data set of 500 user profiles with 100 photos per profile was created and annotated with an appeal score for a series of real-life situations via crowdsourcing. User profiles are created by repurposing a subset of the YFCC100M dataset. In accordance with GDPR, data minimization is applied, and participants receive only the information necessary to carry out the task in an anonymized form. Resources include: (i) anonymized visual concept ratings for each situation modeled; (ii) automatically extracted predictions for the images that compose the profiles. *** METRICS *** The correlation with the ground truth will be measured using Pearson's correlation coefficient. The final score of each participating team will be obtained by averaging correlations obtained for individual situations. *** IMPORTANT DATES *** - Task registration opens: November 16, 2020 - Development data release: February 15, 2021 - Test data release: March 15, 2021 - Run submission: May 10, 2021 - Working notes submission: May 28, 2021 - CLEF 2021 conference: September 21-24, Bucharest, Romania *** REGISTER *** https://www.imageclef.org/2021#registration *** OVERALL COORDINATION *** Adrian Popescu, CEA LIST, France J?r?me Deshayes-Chossart, CEA LIST, France Bogdan Ionescu, University Politehnica of Bucharest, Romania On behalf of the Organizers, Bogdan Ionescu https://www.AIMultimediaLab.ro/ From nicosia at dmi.unict.it Thu Feb 18 12:30:37 2021 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Thu, 18 Feb 2021 18:30:37 +0100 Subject: Connectionists: Save the Date: #ACAIN2021, the 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, October 5-8, 2021, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK Message-ID: Save the Date: #ACAIN2021, the 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, October 5-8, 2021, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK ______________________________________________________________ Call for Participation & Call for Papers (apologies for multiple copies) ______________________________________________________________ The 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience October 5-8, 2021 The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK W: https://acain2021.artificial-intelligence-sas.org E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/ACAIN.LakeDistrict/ EARLY REGISTRATION DEADLINE: July 15, 2021 https://acain2021.artificial-intelligence-sas.org/registration/ PAPER SUBMISSION DEADLINE: April 9 2021 https://acain2021.artificial-intelligence-sas.org/the-symposium/ SCOPE & MOTIVATION: The ACAIN 2021 is an interdisciplinary event. It will be a special opportunity to hear about cutting-edge research by leading scientists in AI and Neuroscience. The two days of keynote talks and oral presentations (the ACAIN Symposium, 7-8 October,2021) will be preceded by lectures of leading scientists (the ACAIN Course, October 5-6,2021). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on a more efficient synergy and cooperation between the two research communities. These are the goals of the International Course and Symposium ? ACAIN 2021, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2021 will be a special opportunity to hear about cutting-edge research by leading scientists in both fields. The two days of keynote talks and oral presentations (the Symposium) will be preceded by two days of lectures (the Course) for students and newcomers to this interdisciplinary field. Moreover, ICAN 2021 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. COURSE DESCRIPTION: https://acain2021.artificial-intelligence-sas.org/course-description/ LECTURERS: https://acain2021.artificial-intelligence-sas.org/course-lecturers/ Timothy Behrens, Nuffield Department of Clinical Neurosciences, University of Oxford, UK Topics: Computational Neuroscience, Behavioral Neuroscience, Decision Making, Learning Brain Connectivity Matthew Botvinick, DeepMind, UK Topics: Artificial Intelligence, Neuroscience, Cognitive Psychology, Cognitive Science Claudia Clopath, Computational Neuroscience Lab, Dept of Bioengineering, Imperial College London, UK Topics: Computational Neuroscience Karl Friston, Institute of Neurology, University College London, UK & Wellcome Trust Centre for Neuroimaging Topics: Neuroscience Rosalyn Moran, Department of Neuroimaging, King?s College London, UK Topics: Computational Neuroscience Maneesh Sahani,Gatsby Computational Neuroscience Unit, University College London, UK Topics: Theoretical Neuroscience, Machine Learning Tutorial Speaker(s) James C.R. Whittington, Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK More Speakers to be announced soon! SYMPOSIUM CALL FOR PAPERS: https://acain2021.artificial-intelligence-sas.org/the-symposium/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2021.artificial-intelligence-sas.org/program-committee/ Submission site: hhttps://easychair.org/conferences/?conf=acain2021 SPECIAL SESSION: https://acain2021.artificial-intelligence-sas.org/special-sessions/ "Free Will in Artificial Intelligence: What volition neuroscience says about free behaviour and implications for the design of autonomous artificial intelligence agents" Organizer and Chair: Catalin Mitelut, Center for Theoretical Neuroscience, Columbia University, New York, USA The human capacity for free will or volitional (i.e. voluntary) behaviour has intrigued scientists and philosophers for thousands of years. Over the last few decades, neuroscientists have uncovered many neural correlates of voluntary behaviours and identified several decision stages involving specific neuroanatomy and dynamics (Haggard 2008). While a reward-optimized decision framework lies at the core of most fast decisions it is supported by slower time-course motivational systems that identify long-term needs (e.g. feeding, offspring care; Maslow 1943, Kenrick 2010). In the absence of naturally evolved motivational drives, autonomous general artificial agents will require the design of motivational systems that will pose unique challenges to our understanding of free will while offering creative opportunities. This symposium seeks submissions focusing on extending evolutionary biology and the neuroscience of volition towards the design of internally motivated, freely behaving autonomous artificial agents. DEADLINES: * Paper Submission (if you want to submit a paper for the Symposium): April 9, 2021 (Anywhere on Earth). hhttps://easychair.org/conferences/?conf=acain2021 * Notification of Decision for Papers (Symposium): June 30, 2021 * Early Registration Deadline: July 15, 2021 * Late Registration: After July 15, 2021 * Oral/Poster Presentation Submission (if you want to submit a talk or a poster for the Course): July 15, 2021. * Notification of Decision for Oral/Poster Presentation (Course): by July 30, 2021. ORGANIZING COMMITTEE: https://acain2021.artificial-intelligence-sas.org/organization/ VENUE & ACCOMMODATION: The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK P: +44-1539-435592 E: reception at thewordsworthhotel.co.uk W: www.thewordsworthhotel.co.uk You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Wordsworth Hotel & SPA. The Form for accommodation, all meals (all breakfasts, lunches, dinners): TBA ACCOMMODATION: https://acain2021.artificial-intelligence-sas.org/accommodation/ ACTIVITIES: https://acain2021.artificial-intelligence-sas.org/activities/ WALKS: https://acain2021.artificial-intelligence-sas.org/walks/ REGISTRATION: https://acain2021.artificial-intelligence-sas.org/registration/ See you in Lake District in October! ACAIN 2021 Organizing Committee. E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/events/669587717185083/ W: https://acain2021.artificial-intelligence-sas.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Thu Feb 18 12:21:57 2021 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Thu, 18 Feb 2021 17:21:57 +0000 Subject: Connectionists: Many Research Assistants and Doctoral Student positions available under an ERC Starting Grant on the organization of object knowledge Message-ID: Apologies for cross-posting. The Proaction Laboratory (Perception and Recognition of Objects and Actions; http://proactionlab.fpce.uc.pt/; Jorge Almeida?s Lab) at the University of Coimbra (www.uc.pt), Portugal is looking for motivated and bright Research Assistants and future Doctoral Students 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. Experience with fMRI and data analysis is required. Strong programming skills (matlab, python, etc.) are also a requirement. Experience with data analysis techniques used in vision and object recognition (e.g., Representational Similarity Analysis, MVPA, Machine Learning, population Receptive Fields/phase lag analysis), as well as computational approaches to cognitive neuroscience (e.g., SOM) is a plus. Very good English (oral and written) communicative skills are necessary. The positions are for 3 years, potentially renewable, and will start in August (the starting date can be moved to an earlier or later date. The salary is competitive, especially considering the cost of living in Portugal (and particularly in Coimbra). The researchers will work directly with Jorge Almeida and other researchers in the Proaction Lab, but the laboratory has extensive collaborations with researchers throughout the world. In fact, there may be the option of spending some time in another lab as part of the position. We have access to a 3T MRI scanner with a 64-channel coil, to a 256 ch EEG dedicated to the Lab, motion tracking system, tDCS with neuronavigation, and to a fully set psychophysics lab. We also have eyetracking on site, and may 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. Candidates are encouraged to apply as soon as possible, as we may fill in the positions sooner than the deadline if there are candidates with a superb fit with the requirements and project. Applicants should have their Master?s and or BA degree completed, and will have to get their diplomas recognized in Portugal prior to signing their contract. The interested candidates should email Jorge Almeida for questions and applications. Please send an email with the subject ?Positions under ERC - ContentMAP? with your *curriculum vitae, list of publications, 2 reference letters, and a short description of your experience in the field and how you fulfill the requirements (fit with the position)* to: jorgealmeida at fpce.uc.pt. Thank you very much! -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Fri Feb 19 10:53:41 2021 From: O.Inel at tudelft.nl (Oana Inel) Date: Fri, 19 Feb 2021 15:53:41 +0000 Subject: Connectionists: ACM UMAP 2021: Second Call for Doctoral Consortium Message-ID: ? Apologies for cross-posting ? ACM UMAP 2021: Second Call for Doctoral Consortium Important Dates ? Paper Submission: March 9, 2021 ? Notification to authors: March 31, 2021 ? Camera ready submission: April 11, 2021 ? ACM UMAP 2021 conference: June 21-25, 2021 ? ACM UMAP 2021 DC Session: TBD, 2021 Note: The submissions times are 11:59 PM AoE time (Anywhere on Earth) ACM UMAP 2021 is the premier international conference on systems that adapt to users and user models for adaptation. It includes a Doctoral Consortium (DC) Session. The DC provides an opportunity for doctoral students to explore and develop their research interests under the guidance of distinguished researchers from the field. Doctoral students are invited to apply to present their research to experienced scholars who will provide constructive feedback and advice. Students are expected to document in a brief submission their doctoral research (see below described submission information for further details), which will be evaluated by the consortium committee. Good quality applications will be selected for presentation at a Doctoral Consortium Session as part of the conference. Promising, but less well- developed applications will be selected for presentation at a poster session. Each student with an accepted submission will be assigned a mentor who will provide feedback on the student?s work and will discuss the doctoral research with the student and the audience at the consortium. How to Submit to the Doctoral Consortium To apply for the ACM UMAP 2021 doctoral consortium, students should submit a paper presenting their doctoral research organized under the following headings: ? Research Problem. The problem being addressed and a motivation outlining the relevance of the problem; ? Related Work. Work already performed by other researchers related to this problem. This should situate your work, showing your knowledge of the relevant previous work and how your work will make a new contribution; ? Research Questions and Proposed Approach. The main questions the PhD project aims to answer, contributions it aims to achieve, and the thesis methodology; ? Progress to Date and Future Work. The progress made to date (including a clear description of the approach, methodology and preliminary results) as well as the plan for further research. Topics include (but are not limited to) the ACM UMAP 2021 key areas. Each DC submission should cover: identification of related (state of the art) work, indication of the potential innovation, application or advancement of the state-of-the-art that the work intends to achieve. In addition, as appropriate for the PhD project, each submission may cover: indication of data to be used for experimentation, indication of implementation approach, indication of evaluation criteria and experimental design. Each DC paper submission should be accompanied by a cover page that states: the paper title, name of the PhD candidate, the name of his/her supervisor(s) and University, a paragraph describing the stage they are in the PhD programme, together with a brief description of their background. This will enable the committee to adapt its assistance to each student. The DC will be most useful to students who have completed enough of their thesis work to have a solid foundation with a clear topic and literature review but the student should be early enough in their studies to still benefit from guidance and advice. Papers should be submitted via the EasyChair submission system https://easychair.org/conferences/?conf=acmumap2021 by selecting the ?UMAP 2021 Doctoral Consortium? track. Papers will be reviewed single-blind and do not need to be anonymized before submission. Submissions should be a single pdf document consisting of 1 cover page and the paper (up to 7 pages long + references) in the new ACM single-column style. Papers must be formatted according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow . Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): ? LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column): https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-master.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 NB: Accepted papers will require a further revision in order 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. ACM UMAP Proceedings The accepted ACM UMAP 2021 Doctoral Consortium papers will be included in the Conference Proceedings, which will be published by ACM and that will be available via the ACM Digital Library. The main author (doctoral student) must register for the conference and present the paper for the paper to be included in the proceedings. Financial Support ACM UMAP has a history of supporting students to attend. Authors of submissions to the DC will have higher priority for UMAP grant applications. Doctoral Consortium Chairs ? Noemi Mauro, University of Torino, Italy ? Stephan Weibelzahl, PFH Private University of Applied Sciences G?ttingen, Germany email: umap2021-dc AT um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From aconst12 at cs.ucy.ac.cy Fri Feb 19 10:51:13 2021 From: aconst12 at cs.ucy.ac.cy (Argyris Constantinides) Date: Fri, 19 Feb 2021 17:51:13 +0200 Subject: Connectionists: Workshop on Adaptive and Personalized Privacy and Security (APPS 2021) - ACM UMAP Workshop Message-ID: <9272A12C-5F27-45C8-80DB-9C3C1B790E2E@cs.ucy.ac.cy> Workshop on Adaptive and Personalized Privacy and Security (APPS 2021) - ACM UMAP Workshop CALL FOR PAPERS The Third International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 29th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021), Online from Utrecht, the Netherlands, June 21-25, 2021 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions in EasyChair by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=acmumap2021 IMPORTANT DATES Paper submission: March 26, 2021 (23:59 AoE time) Notification to authors: April 19, 2021 Camera-ready version of accepted papers: May 07, 2021 MOTIVATION & GOALS Millions of users across different continents and countries are daily engaged with privacy and security tasks which are indispensable in modern information systems and services. Such tasks are commonly related to user authentication, human interaction proofs (e.g., captcha), privacy and security pop-up dialogs, setting privacy and security features within online user profiles, etc. Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user?s physical, technological and interaction context in which computation takes place. APPS 2021 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2021 will be on challenges and opportunities related to the Covid-19 outbreak for ensuring privacy and security of users' interactions in online systems (like challenges for online distance learning, e-Government, e-Commerce, the need for touchless authentication, etc.). The workshop will address the following objectives: - increase our understanding and knowledge on supporting usable privacy and security interaction design through novel user modeling mechanisms and adaptive user interfaces; - discuss methods and techniques for understanding user attitudes and perceptions towards privacy and security issues in various application areas; - identify human-centered models for the design, development and evaluation of adaptive and personalized privacy and security systems; - discuss methods for evaluating the impact and added value of adaptation and personalization in privacy and security systems. TOPICS OF INTEREST Topics of interest include, but are not limited to: - Privacy and security in smart patient-centric healthcare systems - Adaptation and personalization approaches in usable privacy and security - Effects of human factors (e.g., cognition, personality, etc.) in privacy and security systems - Novel user interaction concepts and user interfaces for achieving usable security - Cultural diversity in usable privacy and security - Context-aware privacy and security - Adaptive usable security in various domains such as healthcare, IoT, automotive - Trust perceived in patient-centric healthcare systems - Perceived security and usability in patient-centric healthcare systems - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Lessons learned from the deployment and use of usable privacy and security features - Ethical considerations in adaptive and personalized privacy and security PAPER SUBMISSION & PUBLICATION All workshop papers must contain original, previously unpublished, research work adhering the two publication types: - Full research papers (10 pages, incl. references), proposing new approaches, innovative methods and research findings. - Short research papers (7 pages, incl. references), presenting works in progress, lessons learned, emerging or future research issues and directions on topics related to APPS. Manuscripts should be formatted according to the new workflow and template for ACM publications (https://www.acm.org/publications/taps/word-template-workflow ). Please submit your paper through the EasyChair submission system by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=acmumap2021 Accepted papers will be published by the ACM and will be available via the ACM Digital Library. ORGANIZING COMMITTEE Argyris Constantinides, Cognitive UX LTD, CY & University of Cyprus, CY Marios Belk, Cognitive UX GmbH, DE & University of Cyprus, CY Christos Fidas, University of Patras, GR Juliana Bowles, University of St. Andrews, UK Andreas Pitsillides, University of Cyprus, CY -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Sat Feb 20 11:04:23 2021 From: rava at ens.fr (Rava A. da Silveira) Date: Sat, 20 Feb 2021 17:04:23 +0100 Subject: Connectionists: Postdoc opening at the interface of cognitive science and machine learning Message-ID: The lab of Rava Azeredo da Silveira invites applications for a *Postdoctoral Researcher* position at the *interface of theoretical/computational cognitive science and machine learning* at the Institute of Molecular and Clinical Ophthalmology Basel (IOB) in Switzerland, an associated institute of the University of Basel. Research questions will be chosen from a range of topics involving models of decision making, learning, and memory, with a particular focus on the structure of human inference, the nature of internal representations/latent variables, and behavioral variability. While the projects will be primarily theoretical, they will involve data analysis and may be complemented with behavioral experiments or carried out in collaboration with experimental labs. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* For full consideration, please apply by 15 March 2021. *How to apply:* Please send the following information *in one single PDF, to * *silveira at iob.ch* *:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vit? including a list of publications; 4. any relevant publications that you wish to showcase. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention ?APPLICATION-POSTDOC? in the subject header, otherwise the application will *not* be considered. *** *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic?rather than mechanistic?point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations. -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Sat Feb 20 11:09:50 2021 From: rava at ens.fr (Rava A. da Silveira) Date: Sat, 20 Feb 2021 17:09:50 +0100 Subject: Connectionists: PhD Student position at the interface of neuroscience and machine learning Message-ID: The lab of Rava Azeredo da Silveira invites applications for a *PhD Student position* at the *interface of computational neuroscience and machine learning*, at the Institute of Molecular and Clinical Ophthalmology Basel (IOB) in Switzerland, an associated institute of the University of Basel. Research projects will involve modeling and data analysis; some projects will be carried out in the framework of collaborations with experimental labs. Questions will be chosen from a range of topics involving neural representations as relating to behavior, neural coding, dynamics and learning. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, and engineering are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* For full consideration, please apply by 15 March 2021. *How to apply:* Please send the following information *in one single PDF, to * *silveira at iob.ch* *:* 1. letter on motivation and interests; 2. curriculum vit?; 3. transcripts of undergraduate and Master grades. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention ?APPLICATION-PHD? in the subject header, otherwise the application will *not* be considered. *** *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic?rather than mechanistic?point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Sat Feb 20 08:55:55 2021 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Sat, 20 Feb 2021 14:55:55 +0100 Subject: Connectionists: AISTATS 2021: Registration Open Message-ID: Dear all, We are pleased to announce the opening of registration for AISTATS 2021. AISTATS 20201 is scheduled for April 13-15, 2021 as a fully virtual conference. https://aistats.org/aistats2021/ Registration: https://virtual.aistats.org/ . Note: We are inviting applications for student/postdoc volunteers, who will receive FREE registration. If you are interested in volunteering, *do not pay the registration fee now* but apply to be a volunteer first at https://aistats.org/aistats2021/volunteering.html. Features of AISTAST 2021: - Three invited talks, 48 oral presentations, and 455 accepted papers in the poster sessions. - Invited speakers: - Professor Bin Yu (University of California, Berkeley) - Professor Emmanuel Cand?s (Stanford University) - Professor Kyle Cranmer (New York University) - Each accepted paper will have a pre-recorded talk and live poster session. In addition, oral presentations, including the invited talks, will have live Q&A. - Social events including mentoring sessions will be scheduled. - Interactions with other participants on Gather.town. Accepted papers can be found at https://aistats.org/aistats2021/accepted.html . Please contact us at aistats2021pc at gmail.com if you have questions or comments. Thank you, The AISTATS 2021 organizing team -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Sun Feb 21 03:34:35 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Sun, 21 Feb 2021 10:34:35 +0200 Subject: Connectionists: Deadline Extension (March 1, 2021) - CfP for EUSIPCO 2021 Special Session "Image and video analysis for autonomous drones" References: <20210219204702.Horde.z2HWB_r1b-82dd78-54DarN@webmail.auth.gr> Message-ID: <017301d7082c$6306c410$29144c30$@csd.auth.gr> Dear drone imaging scientists and engineers, you are invited to submit an original, unpublished technical paper to the Special Session "Image and video analysis for autonomous drones" of EUSIPCO 2021: https://eusipco2021.org/. New submission deadline for the EUSIPCO conference is March 1, 2021. Autonomous Unmanned Aerial Vehicles (UAVs, or drones) are becoming more and more important to many industries, promising simplified logistics, cost reductions, increased safety for humans, quicker response times and more accurate results, when compared to traditional procedures. Drones are highly useful thanks to their easy deployment, their aerial point-of-view and their ability to access difficult-to-reach spaces. Recent advances in aerial robotics and AI have already pushed drone automation to an unprecedented degree in various application domains, such as infrastructure inspection and maintenance, aerial cinematography, search and rescue operations, etc. Manipulation, processing, analysis and learning of visual signals lie at the forefront of this revolution. This special session will consider current research in this interdisciplinary subject, aiming to bring together researchers working on image/video analysis and experts in aerial robotics. Topics of interest may include, among others: - Embedded computer vision - Deep learning for image/video analysis - Multimodal perception - Sensor and data fusion - Fault and anomaly detection in drone footage - Subcentimeter-accuracy inspection - Autonomous drone cinematography - Vision-based localization and mapping - Vision-based drone navigation/control - Vision-based human-drone interaction This Special Session concerns a very timely topic with high industrial potential, given that fully/semi- automated drones are slowly emerging as a viable alternative to manually teleoperated ones, thanks to recent advances in robotics and AI. A lot of underlying cognitive functionalities that enable such autonomy, particularly the ones facilitating drone perception, rely on advanced image/video analysis methods for achieving their goals, making this a highly interdisciplinary topic of exceptional interest both to imaging scientists and aerial robotics researchers. The Special Session is organized by Prof. I. Pitas and Dr. I. Mademlis, from the Artificial Intelligence and Information Analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece (AUTH), under the auspices of the EU-funded Horizon 2020 programme AERIAL-CORE (https://aerial-core.eu/). Relevant links: 1) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 2) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours, Prof. I. Pitas, Dr. Ioannis Mademlis, Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus From jbaimon at sandia.gov Sat Feb 20 22:08:09 2021 From: jbaimon at sandia.gov (Aimone, James Bradley) Date: Sun, 21 Feb 2021 03:08:09 +0000 Subject: Connectionists: 2021 Neuro-Inspired Computational Elements Conference (NICE) -- March 16-19, 2021 -- Online Message-ID: The 2021 NICE Conference will be ONLINE this year, through Zoom, on Tuesday March 16-Friday March 19. Registration is available here: https://niceworkshop.org/nice-2021/ NICE is an annual meeting of neuromorphic computing experts from around the world, with the newest research in neural algorithms, brain-inspired artificial intelligence, neuromorphic computing architectures and applications of neuromorphic computing all discussed. We will also have several interactive tutorial sessions for some of the largest neuromorphic platforms available to researchers today! This will be our 8th meeting - last year's meeting was unfortunately canceled due to Covid-19. Videos of talks from previous conferences are available at the website. We hope that this year's online format will enable broader participation from researchers all fields and locations to join us! NICE Organizing Committee -------------------------- James Bradley Aimone, Ph.D. Cognitive and Emerging Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov -------------- next part -------------- An HTML attachment was scrubbed... URL: From ariel.9arcia at gmail.com Sun Feb 21 12:36:00 2021 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Sun, 21 Feb 2021 12:36:00 -0500 Subject: Connectionists: CFP: Springer book on GANs In-Reply-To: References: Message-ID: *TL;DR ? CFP:* Springer Book on GANs *GUEST EDITORS*: Roozbeh Razavi-Far, Ariel Ruiz-Garcia, Vasile Palade, J?rgen Schmidhuber *SUBMISSION DEADLINE*: 15th April 2021 *Call for Book Chapters* *Springer book on: * *Generative Adversarial Learning: Architectures and Applications* Adversarial learning has fascinated the attention of artificial intelligence and machine learning communities across the world over the last years. Their success is achieved by exploiting a minimax learning concept, which has proved to be an effective paradigm in earlier works, such as adversarial curiosity (1990) and predictability minimization (1991), in which two networks compete in a minimax game during the learning process. One of their key advantages over other learning methods is the capability of generating new data from random noise, as well as their capability to replicate data distributions. However, producing real data using Generative Adversarial Networks (GANs) remains a challenge, especially when particular features are required; for instance, constraining the latent aggregate distribution space does not guarantee that the generator will produce an image with a specific attribute. Aside from realistic image generation, GANs have been extensively used for numerous other application domains such as: speech and audio synthesis, object detection and segmentation, policy learning in deep reinforcement learning, etc., usually providing promising results. Despite their apparent advantages and their application to a wide range of domains, GANs have yet to overcome several challenges including model convergence, mode collapse, vanishing gradients, model interpretability, and model sensitivity to parameters and hyper-parameter initialization. Such problems often arise due to the added complexity of simultaneous training of the generator and discriminator models. Recent advancements in machine learning are expected to provide efficient solutions to deal with the above raised challenges. This book will provide a collection of high-quality research articles addressing theoretical work for improving the learning process and the generalization of GANs. State-of-the-art applications of GANs are also very welcomed. This Springer edited book solicits contributed chapters including but not limited to the following topics: ? Generative adversarial learning methods and theory; ? Adversarial deep learning for domain adaptation; ? Network interpretability in adversarial learning; ? Adversarial feature learning; ? Adversarial learning for data augmentation; ? Adversarial deep learning for class imbalance; ? Adversarial deep learning for semi-supervised learning; ? New GAN models and new GAN learning criteria; ? Adversarial deep learning in pattern recognition; ? GANs for noise reduction; ? GANs for imitation learning; ? GANs for image segmentation and image completion; ? GANs in deep reinforcement learning; ? GANs for image and video synthesis; ? GANs for speech and audio synthesis; ? GANs for in-painting and sketch to image; ? Adversarial learning in Neural Machine Translation; ? Object Compositionality in GANS; ? Applications of GANs in various domains, such as computer vision, cyber security, safety, engineering, video inference, speech and emotion recognition, voice conversion, natural language processing. *Important Dates* 15th March 2021 ? Abstract submission deadline 15th April 2021 ? Chapter submission deadline 30th May 2021 ? Chapter acceptance notification 31st July 2021 ? Camera-ready submission deadline September 2021 ? Book publication *Book Editors:* *Dr Roozbeh Razavi-Far* University of Windsor, Canada Email: roozbeh at uwindsor.ca *Dr Ariel Ruiz-Garcia* SeeChange.ai, UK Email: ariel.9arcia at gmail.com *Professor Vasile Palade* Coventry University, UK Email: vasile.palade at coventry.ac.uk *Professor J?rgen Schmidhuber* NNAISENSE, Swiss AI Lab IDSIA, USI & SUPSI, Switzerland Email: juergen at idsia.ch *Submission Procedure:* Prospective authors should submit a tentative title, names and affiliation of authors and a brief abstract with keywords of their proposed contribution via EasyChair . Please also let the editors know. We strongly encourage authors to submit abstracts as soon as possible. Chapter submissions can be done via EasyChair . Chapter submissions should conform to the standard guidelines of Springer?s book chapter format. Manuscripts must be prepared using Latex or Word according to Springer?s author template found here . Submitted manuscripts will be refereed by at least two expert reviewers following a single-blind review process. Accepted works will be published as part of this book in the Intelligent Systems Reference Library by Springer. For any questions or further information please email the book editors listed above. -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Sun Feb 21 13:08:34 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Sun, 21 Feb 2021 19:08:34 +0100 Subject: Connectionists: CFP: CVPR 2021 Mobile AI workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 7 CHALLENGES 1st Mobile AI workshop and challenges on learned ISP, denoising, HDR, image/video super-resolution, depth estimation, scene detection In conjunction with CVPR 2021, 20th of June, Nashville, USA (VIRTUAL). Website: https://ai-benchmark.com/workshops/mai/2021/ TOPICS ? Efficient deep learning models for mobile devices ? Artifacts removal from mobile photos/videos ? General smartphone photo/video enhancement ? RAW camera image/video processing ? Deep learning applications for mobile camera ISPs ? Image/video super-resolution on low-power hardware ? Portrait segmentation / bokeh effect rendering ? Depth estimation w/o multiple cameras ? Perceptual image manipulation on mobile devices ? Activity recognition using smartphone sensors ? Image/sensor based identity recognition ? Fast image classification / object detection algorithms ? NLP models optimized for mobile inference ? Real-time semantic segmentation ? Low-power machine learning inference ? Machine learning and deep learning frameworks for mobile devices ? AI performance evaluation / benchmarking of mobile and IoT hardware ? Studies and applications of the above problems SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. http://cvpr2021.thecvf.com/node/33 The review process is double blind. Accepted and presented papers will be published in the CVPR 2021 Workshops Proceedings. Author Kit: http://cvpr2021.thecvf.com/sites/default/files/2020-09/cvpr2021AuthorKit_2.zip Submission site: https://cmt3.research.microsoft.com/MAI2021 WORKSHOP DATES ? *Regular Papers Submission Deadline: March 05, 2021* ? Challenge Papers Submission Deadline: April 2, 2021 CHALLENGES ? *Learned Smartphone ISP* (Evaluation platform: MediaTek Dimensity APU) - Powered by MediaTek ? *Image Denoising* (Eval. platform: Exynos Mali GPU) - Powered by Samsung ? *HDR Image Processing* (Eval. platform: Kirin DaVinci NPU) - Powered by Huawei ? *Image Super-Resolution* (Eval. platform: Synaptics Dolphin NPU) - Powered by Synaptics ? *Video Super-Resolution* (Eval. platform: Snapdragon Adreno GPU) - Powered by OPPO ? *Depth Estimation* (Eval. platform: Raspberry Pi 4) - Powered by Raspberry Pi ? * Camera Scene Detection* (Eval. platform: Apple Bionic) - Powered by CVL To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the Mobile AI 2021 web page: https://ai-benchmark.com/workshops/mai/2021/ For those interested in restoration, enhancement, manipulation, classification without specific mobile hardware constraints we refer to the CVPR21* NTIRE Workshop and Challenges:* https://data.vision.ee.ethz.ch/cvl/ntire21/ CHALLENGES DATES ? Release of train data: January 10, 2020 ? *Competitions end: March 20, 2020* ORGANIZERS (TBU) ? Andrey Ignatov ( ETH Zurich) ? Radu Timofte ( ETH Zurich) ? Luc Van Gool ( ETH Zurich and KU Leuven) ? Martti Ilmoniemi ( Huawei) ? Esin Guldogan ( Huawei) ? Tianyu Yao ( Huawei) ? Cheng-Ming Chiang ( MediaTek Inc.) ? Hsien-Kai Kuo ( MediaTek) ? Kim Byeoung-su ( Samsung Electronics Co., Ltd.) ? Gaurav Arora ( Synaptics Inc.) ? Abdel Younes ( Synaptics Inc.) ? David Plowman ( Raspberry Pi (Trading) Ltd.) ? Heewon Kim ( Seoul National University) ? Kyoung Mu Lee ( Seoul National University) ? Eirikur Agustsson ( Google) ? Chiu Man Ho ( OPPO) ? Zibo Meng ( OPPO) ? Shuhang Gu ( University of Sydney, OPPO) SPEAKERS (TBA) SPONSORS (TBU) ? OPPO ? Samsung ? MediaTek ? Synaptics ? Huawei ? Raspberry Pi ? CVL / ETH Zurich Website: https://ai-benchmark.com/workshops/mai/2021/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From staszek.jastrzebski at gmail.com Sun Feb 21 06:03:49 2021 From: staszek.jastrzebski at gmail.com (Stanislaw Jastrzebski) Date: Sun, 21 Feb 2021 12:03:49 +0100 Subject: Connectionists: [Closing soon] Call for Associate Prof. at Jagiellonian University (GMUM.net) Message-ID: Dear All, The Jagiellonian University of Cracow seeks excellent candidates for the Associate Professor position in Machine Learning to join GMUM.net, the largest deep learning research group in Poland. Offer details: * ~60k EUR gross annual salary * ~150k EUR research budget to start your group * 5-year contract * an opportunity to become a part of an established machine learning GMUM group with a publication track-record including works at NeurIPS, ICML, ICLR, etc. Here's the link to the job offer. There are also two openings for the Assistant Professor positions with ~50% of the Associate Professor salary (welcoming recent PhD graduates positions). If you know anyone that may be interested in the offer - I would appreciate sharing that in your channels. Thanks! Thank you, Stanislaw Jastrzebski -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Mon Feb 22 03:19:34 2021 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Mon, 22 Feb 2021 09:19:34 +0100 Subject: Connectionists: CfP: Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) at WETICE 20201 Message-ID: <3944b4c3-f2d4-31e0-e985-20fcf7f67f69@unimore.it> *19th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC)* Track?at IEEE WETICE 2021 Bayonne, France, 23-25 June 2021 http://didattica.agentgroup.unimore.it/ACEC2021 Call for Papers *Aims and Scope* Over its 18 years of existence, ACEC has focused on works?that explore?the adaptability, autonomy and intelligence of software agents for the collaboration across the enterprise. In 2021,?organizers would like to continue to explore the research on agent-based computing, but they would also?welcome works that leverage advanced adaptive techniques, non necessarily based on software agents. In addition to the?traditional domain areas, i.e., Computer Supported Collaborative Work, Workflow and Supply Chain Management, Automation in Virtual Enterprises, and Automated Distributed Service Composition, ACEC is?also interested in new adaptive techniques, e.g.,?Cloud Computing, Crowd-Sourcing, and?Social Networking. In addition to traditional papers, the forthcoming 19th episode of ACEC welcomes papers from two focus areas: * Adaptive and Agent-based Services * Adaptive Techniques for Organizational/Enterprise Use of Emerging Web Paradigms (Cloud, Crowd-sourcing, Mobile Apps) Such two themes represent important areas where software agents can leverage their distributed nature,?along with their proactive and autonomous characteristics, to provide solutions to?complex problems, which are difficult to solve?using traditional/existing technologies. *Topics of Interest* Topics of interest include, but are not limited to: * Adaptive and/or agent-mediated workflow, supply chain, and virtual?enterprises * Methodologies, languages and tools to support agent collaboration * Agent architectures and infrastructures for dynamic collaboration * Adaptive and/or Agent-based service architectures and infrastructures * Service Oriented Architectures (SOAs) based on agents * Services for dynamic agent collaboration * Agent-to-Human service interactions * Autonomous, Adaptive and/or Agent-mediated service integration * Organizational and enterprise systems that leverage the Web 2.0 * Adaptive and Agent-mediated cloud environments *Important Dates* * Paper submission: *February 28th, 2021* * Notification: *April 25th, 2021* * Camera ready: *May 15, 2021 * * Conference: *23-25 June 2021* *Paper Submission* Papers should contain original contributions (not published or submitted elsewhere) and references to related state-of-the art work. Please submit your papers in PDF or PS format. Papers up to 6 pages (including figures, tables and references) can be submitted. Papers should follow the IEEE format, which is single-spaced, two columns, 10pt Times/Roman font. Papers should include a title, the name and affiliation of each author, an abstract of up to 150 words and no more than eight keywords. All submitted papers will be peer-reviewed by a minimum of three program committee members. The accepted papers will be published in the post-conference proceedings (to be published by the IEEE Computer Society Press). Authors of accepted papers must present their papers at the conference.?At least one author for each accepted paper should register and attend WETICE 2021 to have the paper published in the proceedings. The paper submission procedure is carried out using the EasyChair conference management system: https://easychair.org/conferences/?conf=wetice2021 *Track Chairs* * Federico Bergenti, Universit? degli Studi di Parma, Italy * M. Brian Blake, George Washington University, USA * Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy * Usman Wajid, Information Catalyst, UK -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From sias at sscc.fr Mon Feb 22 03:13:31 2021 From: sias at sscc.fr (Symposium IAS ) Date: Mon, 22 Feb 2021 09:13:31 +0100 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems Message-ID: <019001d708f2$ca9a0bc0$5fce2340$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ in conjunction with " 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture . IAS modeling (formal models, SysML, UML, etc) . Correct-by-construction in IAS . MBSE, MDA and DDA for IAS . Virtualization and digital twins for IAS . Blockchains and decentralized architecture for IAS . IAS smart Networking . Communication protocols for IAS . Edges, Fog, and Cloud in IAS . Distributed database for IAS . Web services for IAS . Social aspects and human interaction in IAS IAS Analysis . Artificial intelligence, deep learning, and machine learning in IAS . Model checking and theorem proving for IAS . Abstraction and compositional verification for IAS . Optimization and SAT solvers for IAS . Dynamic and static analysis for IAS . Statistical analysis for IAS . Testing for IAS . Smart decision making in IAS . Fog and edge computing for IAS IAS Assurance . Security specification, requirements, and management in IAS . Security in distributed IAS . Modeling, analysis and detection of attacks in IAS . Data mining for cybersecurity in IAS . Security protocols for IAS . Safety policies for IAS . Safety reinforcement models in IAS . Safety standard analysis for IAS . Resilience metrics and models for IAS . Resilience strategies and plans for IAS . Recovery systems for IAS resiliency . Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases . Applications and Software Platforms for IAS . IoT and CPS for IAS . Smart cities . IAS for industrial and production CPS . Autonomous robots and vehicles . Human-Robot Interaction . Smart logistics (transportation, supply chain, etc) Important Dates . Submission Date: 25 April,2021 . Notification to Authors: 25 May, 2021 . Camera Ready Submission: 4 June, 2021 Submission System . https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Sofia.Delafuente at ed.ac.uk Mon Feb 22 04:53:33 2021 From: Sofia.Delafuente at ed.ac.uk (DE LA FUENTE GARCIA Sofia) Date: Mon, 22 Feb 2021 09:53:33 +0000 Subject: Connectionists: CALL FOR PARTICIPATION: Alzheimer's Dementia Recognition through Spontaneous Speech In-Reply-To: References: <14C9BFD1-BD0D-4B0C-8E9F-5F48395C8603@ed.ac.uk>, Message-ID: CALL FOR PARTICIPATION: Alzheimer's Dementia Recognition through Spontaneous Speech The ADReSSo Challenge, at INTERSPEECH 2021, Brno, Czechia, 30 Aug - 03 Sep, 2021 Dementia is a category of neurodegenerative diseases that entails a long-term and usually gradual decrease of cognitive functioning. There is a need for cost-effective and scalable methods for detection of dementia from its most subtle forms, such as the preclinical stage of Subjective Memory Loss (SML), to more severe conditions like Mild Cognitive Impairment (MCI) and Alzheimer's Dementia (AD) itself. The ADReSSo (ADReSS, speech only) targets difficult automatic prediction problems of societal and medical relevance, namely, the detection of AD and prediction of cognitive decline. The ADReSSo Challenge will provide a forum for those different research groups to test their existing methods (or develop novel approaches) on a shared standardized dataset. The approaches that performed best in last year's ADReSS challenge employed features extracted from manual transcripts, which were provided to the participants. The ADReSSo challenge provides a more challenging and improved spontaneous speech dataset, and requires the creation of models straight from speech, without manual transcription. In keeping with the objectives of AD prediction evaluation, the ADReSSo challenge's dataset is statistically balanced so as to mitigate common biases often overlooked in evaluations of AD detection methods, including repeated occurrences of speech from the same participant (common in longitudinal datasets), variations in audio quality, and imbalances of gender and age distribution. This task focuses AD recognition using spontaneous speech, which marks a departure from neuropsychological and clinical evaluation approaches. Spontaneous speech analysis has the potential to enable novel applications for speech technology in longitudinal, unobtrusive monitoring of cognitive health, in line with the theme of this year's INTERSPEECH, "Speech Everywhere!". In order to participate, please follow the instructions in the ADReSSo Challenge's web site ( https://edin.ac/3p1cyaI ). You will also be expected to submit a paper to INTERSPEECH 2021 describing your approach and results. Important Dates January 18, 2021: ADReSSo Challenged announced. March 20, 2021: Model submission deadline. March 26, 2021: Paper submission deadline. April 2, 2021: Paper update deadline. June 2, 2021: Paper acceptance/rejection notification. August 31 - September 3, 2021: INTERSPEECH 2021. URL https://edin.ac/3p1cyaI Organizers Saturnino Luz, Usher Institute, University of Edinburgh Fasih Haider, University of Edinburgh Sofia de la Fuente, University of Edinburgh Davida Fromm, Carnegie Mellon University Brian MacWhinney, Carnegie Mellon University The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From perfo897 at gmail.com Mon Feb 22 08:49:03 2021 From: perfo897 at gmail.com (perfo897 perfo897) Date: Mon, 22 Feb 2021 14:49:03 +0100 Subject: Connectionists: Robot Vision PhD position in Sweden Message-ID: Greetings! The Computer Vision Laboratory at Link?ping University, Sweden is announcing a PhD position in uncertainty representation for latent space learning on seeing robots. Applications are received at the LiU vacancies site: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=15725&rmlang=UK See the link for further details. Best regards, Per-Erik Forssen http://users.isy.liu.se/cvl/perfo/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.gilra at sheffield.ac.uk Mon Feb 22 12:18:46 2021 From: a.gilra at sheffield.ac.uk (Aditya Gilra) Date: Mon, 22 Feb 2021 17:18:46 +0000 Subject: Connectionists: Three Post-Doc / Research Associate positions in 'Causal eXplainable Reinforcement Learning' project at Sheffield / Vienna / Lille Message-ID: Dear All, Announcing three post-doc / research associate openings to work closely together as part of a ~3 year Chist-Era project, to develop causal inference methods for explainable actions in reinforcement learning ( https://www.chistera.eu/projects/causalxrl), starting in ~Q2, 2021: -> At the University of Sheffield with Dr Aditya Gilra and Prof Eleni Vasilaki, with an emphasis on biologically-plausible neural circuits -- https://www.jobs.ac.uk/job/CEH708/research-associate-in-causal-explainable-reinforcement-learning-causalxrl (Deadline: 18th March 2021, but might be extended). -> At the University of Vienna with Prof Moritz Grosse-Wentrup, with an emphasis on causal inference and brain-computer interfaces -- https://ni.cs.univie.ac.at/ (ad to appear). -> At INRIA Lille with Prof Philippe Preux, with an emphasis on reinforcement learning and applications -- https://jobs.inria.fr/public/classic/en/offres/2020-03209 (Deadline: 31st March 2021). Please feel free to email back for any further information. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group & Neuroscience Institute , Department of Computer Science , University of Sheffield , UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Tue Feb 23 04:36:10 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Tue, 23 Feb 2021 10:36:10 +0100 Subject: Connectionists: =?utf-8?q?=5BCFP=5D_2nd_International_workshop_on?= =?utf-8?q?_Deep_Learning_meets_Ontologies_and_Natural_Language_Pro?= =?utf-8?q?cessing_=40ESWC-2021_Bo=C3=AEte_de_r=C3=A9ception?= Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 2nd International workshop "*Deep Learning meets Ontologies and Natural Language Processing*" which will be held online or in Hersonissos, Greece - June 6th or 7th 2021. ** *DeepOntoNLP* - Call for Papers *** Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) https://sites.google.com/view/deepontonlp-eswc2021 in conjunction with ESWC 2021 online or in Hersonissos, Greece **Workshop description** In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions. Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations. The combination of DL, ontologies and NLP might be beneficial for different tasks: ? Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration, ? Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations), ? Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc. ? NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc. **Objective** This workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in natural language processing, structured knowledge and deep learning approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. **Topics of interests** ? Construction ontology embeddings ? Ontology-based text classification ? Learning ontology embeddings ? Semantic role labelling ? Ontology reasoning with Deep Neural Networks ? Deep learning for ontological semantic annotations ? Spatial and temporal ontology embeddings ? Ontology alignment and matching based on deep learning models ? Ontology learning from text using deep learning models ? Unsupervised Learning ? Text classification using deep models ? Neural machine translation ? Deep question answering ? Deep text summarization ? Deep speech recognition ? and so on. **Submission** The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to LNCS instructions for authors . Papers are to be submitted through the Easychair Conference Management System . We welcome the following types of contributions: - Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics - Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the ESWC 2021 page. **Important dates** - Workshop paper submission due: *March 1st, 2021* - Workshop paper notifications: March 31st, 2021 - Workshop paper camera-ready versions due: April 9th, 2021 - Workshop: June 6th or 7th, 2021 (Half-Day) All deadlines are 23:59 anywhere on earth (UTC-12). **Publication** The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021. **Workshop chairs** *Sarra BEN ABBES*, Engie, France *Rim HANTACH*, Engie, France *Philippe CALVEZ*, Engie, France **Program Committee** Nada Mimouni, CNAM, France Lynda Temal, Engie, France Davide Buscaldi, LIPN, Universit? Sorbonne Paris Nord, France Valentina Janev, Mihajlo Pupin Institute, Serbia Mohamed Hedi Karray, LGP-INP-ENIT, Universit? de Toulouse, France Efstratios Kontopoulos, Catalink Ltd, Cyprus Wei Hu, Nanjing University, China Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico Linda Elmhadhbi, Universit? de Toulouse, France Amir Laadhar, Aalborg University, Denmark Yannis Haralambous, IMT Atlantique, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Tue Feb 23 04:14:36 2021 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 23 Feb 2021 14:44:36 +0530 Subject: Connectionists: Announcement of ISMSI 2022 Message-ID: Dear Colleagues, At the outset, thanks very much for all your help for the forthcoming ISMSI 2021, despite the pandemic. Looking ahead, the next edition of this conference will take place in *Seoul, Korea. * Hopefully it will be face-to-face next year. A preliminary leaflet is attached. Website will be launched on completion of ISMSI 2021. As before, I solicit your help in disseminating the same among your peers/doctoral students........ Pls. take care. With best rgds, Suash -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Leaflet -ISMSI2022.pdf Type: application/pdf Size: 408737 bytes Desc: not available URL: From nnavarin at math.unipd.it Tue Feb 23 04:26:41 2021 From: nnavarin at math.unipd.it (=?utf-8?Q?Nicol=C3=B2_Navarin?=) Date: Tue, 23 Feb 2021 10:26:41 +0100 Subject: Connectionists: [CfP-Deadline extended] Special Issue "Human Interaction with Artificial Intelligence Systems" IEEE Transactions on Human-Machine Systems Message-ID: Please accept our apologies in case of multiple receptions. Please send to interested colleagues and students. *** Call for Papers *** Special Issue on Human Interaction with Artificial Intelligence Systems: New Human-Centered Perspectives and Challenges IEEE Transactions on Human-Machine Systems, Impact Factor: 4.570 Link to the CFP: https://www.ieeesmc.org/publications/transactions-on-human-machine-systems/special-issues#upcoming *** Important dates *** - Manuscript submission due: February 28, 2021 March 13, 2021 (extended) - First round decision made: April 30, 2021 - Revised manuscript due: June 30, 2021 - Notification of final decision: July 31, 2021 - Final manuscript submission:: August 31, 2021 - Expected publication: September 30, 2021 *** Aims and Scope (summary)*** This special issue is aimed at investigating a broad range of issues deriving from Human Interaction with AI. We welcome interdisciplinary and multidisciplinary contributions to understand how AI can improve human life in different fields. Specifically, contributions in this SI should aim to improve the quality of the interaction between humans and AI systems and investigate new solutions to improve user trust in AI in a broad range of domains (medicine, psychology, education, security, transports, social networks, smart home devices, work, recommendations, etc.). *** Topics *** Potential contributions may address, but are not limited to, the following topics: - building trust between humans and AI systems - enhancing usability and user experience of AI systems and devices - estimating intentionality in interaction with AI systems and robots - AI-enabled human-robot interaction - growing long-term relationships with AI enabled systems - improving interpretability and explainability of AI algorithms - transparency on decision and suggestion making of AI systems towards users - ethical issues in interacting with AI systems - fairness and transparency of AI methods and applications - novel applications of human-centered AI If in doubt about suitability, please contact the Guest Editors. *** Submission Instructions *** Papers should be submitted through http://mc.manuscriptcentral.com/thms with a cover letter that contains the statement: ?This manuscript is being submitted to the Special Issue on ?Human Interaction with Artificial Intelligence Systems: new human-centered perspectives and challenges?.? For detailed submission information, please refer to ?Information for Authors? at: https://www.ieeesmc.org/publications/transactions-on-human-machine-systems/information-for-authors *** Guest Editors *** -Nicolo? Navarin, University of Padova, Italy, nnavarin at math.unipd.it -Merylin Monaro, University of Padova, Italy merylin.monaro at unipd.it -Kerstin Bach, Norwegian University of Science and Technology (NTNU), Norway kerstin.bach at ntnu.no -Emilia I. Barakova, Eindhoven University of Technology, Netherlands e.i.barakova at tue.nl ? Nicol? Navarin, PhD Assistant Professor University of Padova - Department of Mathematics via Trieste 63, 35121 Padova - Italy Office: 416 Tel. +39 049 8271427 E-mail: ?nnavarin at math.unipd.it Web: http://www.math.unipd.it/~nnavarin CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Wed Feb 24 01:46:22 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 24 Feb 2021 06:46:22 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2021 -- Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2021 2021 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 6--9, 2021 Conference will be Virtual http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 09-April-2021 (Midnight EST) Author Notification: 03-May-2021 Camera-ready Submission (Regular Papers): 16-May-2021 Working/Late-breaking Paper: 23-May-2021 Doctoral Consortium: 23-May-2021 Tutorial, Demo Submission: 23-May-2021 Acceptance Notification: 14-June-2021 Challenge Submission: 23-May-2021 Challenge Notification: 14-June-2021 Final Video and PowerPoint Submission: 28-June-2021 Submit your paper here. Until the final paper deadline, you will be able to update your submission. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Only Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration prior to being considered for a plenary session (oral or poster). PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. Special Track on Human-Agent Teaming This year we are soliciting papers for a special workshop on human-agent teaming (or human-AI teaming) to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. Special Track on COVID-19 & Validation This year we are soliciting papers for a special workshop on the COVID-19 pandemic to be held during the conference. We are particularly interested in papers focused on validation studies of models and tools used for COVID-19 response efforts. Validation studies evaluate the influence of important threats to validity, such as missing data, measurement error, and confounding. Validation studies are particularly important for assessing the utility of models and tools outside of similar settings (e.g., application of models and tools to the next pandemic or global disaster). When submitting your paper in EasyChair please indicate whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interest include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling Agent-based modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process, recognition, and diffusion * Public opinion representation, identification and modeling Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes overtime * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military, Cyber, & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Tue Feb 23 13:01:31 2021 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Tue, 23 Feb 2021 19:01:31 +0100 Subject: Connectionists: Reminder: SDM/IBM EARLY CAREER DATA MINING RESEARCHER AWARD Message-ID: An HTML attachment was scrubbed... URL: From scik at zhaw.ch Wed Feb 24 04:30:59 2021 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Wed, 24 Feb 2021 09:30:59 +0000 Subject: Connectionists: 1st Intl. Symposium on the Science of Data Science (ISSDS 2021) Message-ID: Dear colleagues It is our great pleasure now to invite you to the first stage of the 1st International Symposium on the Science of Data Science. The meeting will take place as a satellite workshop of the 8th Swiss Conference on Data Science, SDS 2021 (https://www.sds2021.ch/) on June 8, 2021 (either online or physically/hybrid). This first workshop aims to bring together interested researchers and initiate a discourse around (also preliminary) thoughts and hypotheses. Our focus is on overarching and foundational data science aspects (see the attached flyer for more details). We aim to gain a more unified view, leading to a future second symposium to solicit a more extensive community's participation and include published proceedings. If you think you could be interested but are not sure yet, you would help us immensely with planning if you could register yourself here as "preliminary interested" (not binding, of course): https://forms.gle/LkJk1BKRhUJ9uXXJ8 Please feel free to forward this invitation to interested parties! Looking forward to the discussion with you, with best regards, Thilo Stadelmann (Prof. AI/ML, Scientific Director ZHAW digital) Frank-Peter Schilling (Senior Researcher Deep Learning) Rudolf Fuechslin (Prof., Head of Applied Complex Systems Science) Dandolo Flumini (Applied Complex System Science) -------------- next part -------------- An HTML attachment was scrubbed... URL: From aurel at ee.columbia.edu Tue Feb 23 22:57:04 2021 From: aurel at ee.columbia.edu (Aurel A. Lazar) Date: Tue, 23 Feb 2021 22:57:04 -0500 Subject: Connectionists: quickly learning basics of neuroscience Message-ID: <981ACC01-712F-4976-9F4D-BDA87330C212@ee.columbia.edu> Got a strong software/computing/hacking background? Maybe even some rudimentary knowledge of neuroscience? Want to up your neuroscience game? If yes, check out "Exploring the Fruit Fly Brain Observatory? at https://www.fruitflybrain.org/#/posts/explore_ffbo . You will find guides to a wealth of fruit fly brain datasets where you can explore and visualize Fruit Fly Brain Data and interactively explore circuit models. Check out links to open source code posted on Github: https://www.fruitflybrain.org/#/posts/resources Best, Aurel http://www.bionet.ee.columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From chabane.djeraba at univ-lille.fr Wed Feb 24 18:33:21 2021 From: chabane.djeraba at univ-lille.fr (Chaabane Djeraba) Date: Thu, 25 Feb 2021 00:33:21 +0100 (CET) Subject: Connectionists: CFP for PhD candidates in SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING In-Reply-To: <953868636.22094975.1614188648386.JavaMail.zimbra@univ-lille.fr> References: <20210127101129.GA9206@Nothung> <33394118.21674727.1614159598108.JavaMail.zimbra@univ-lille.fr> <20210224094327.GA9889@Nothung> <1814609084.21682511.1614160139931.JavaMail.zimbra@univ-lille.fr> <20210224094955.GB9889@Nothung> <201738874.21686285.1614160394286.JavaMail.zimbra@univ-lille.fr> <1056609432.21800143.1614168562207.JavaMail.zimbra@univ-lille.fr> <953868636.22094975.1614188648386.JavaMail.zimbra@univ-lille.fr> Message-ID: <703715730.22201587.1614209601093.JavaMail.zimbra@univ-lille.fr> The FOX research team from the CRIStAL laboratory (UMR CNRS) of Lille University - FR, in collaboration with bio-inspired team of Kent University - UK is looking for PhD student candidates on the following subject : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Title : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Abstract of the PhD subject : The objective of the PhD thesis is the study of bio-inspired pattern recognition of atmospheric phenomena, from earth observation satellite. In particular, the thesis project studies neuromorphic learning approach for the classification of spatiotemporal image sequences available in large quantities and without terrain truth or with very limited terrain truth. The data are aerosols, collected from earth observation satellites. The results of the thesis will contribute to make a large amount of atmospheric data accessible, even exploitable by the scientific community in the domain of the detection, tracking and prediction of the air quality. We are looking for excellent PhD candidates in thre domain of AI applied to atmospheric data. Key words : Spike neural network, Machine learning, Artificial intelligence, atmospheric data mining Candidates must hold a Master degree in Computer Science, Mathematics, Statistics. Experience in one or more of the following is a plus: ? image processing, computer vision; ? machine learning; ? research methodology (literature review, experimentation?). Candidates should have the following skills: ? good proficiency in English, both spoken and written; ? scientific writing; ? programming (experience in Python, Java or C++). More details are available here : https://filesender.renater.fr/?s=download&token=76a3ba06-63af-43a7-a34a-40e99f1a42d0 The PHD thesis will be funded in the framework of the AI_PhD at Lille program. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/ http://www.isite-ulne.fr/wp-content/uploads/2021/02/Th?ses-IA_Campagne2021_I_Site_GB.pdf www.isite-ulne.fr/wp-content/uploads/2021/02/The?ses-IA_Campagne2021_I_Site_GB.pdf The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000?, including benefits (health insurance, retirement fund, and paid vacations). Additional financial support is expected in the framework of the AI_PhD at Lille program. The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. We look forward to receiving your application as soon as possible, but no later than 20.03.2021. ? Chaabane Djeraba (PhD), Professeur, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, Bat. IRCICA, 50 avenue Halley, 59650 Villeneuve d?Ascq, France, chabane.djeraba at univ-lille.fr ---oooOooo--- ----- Mail original ----- De: "chabane djeraba" ?: "Dominique Chu" Envoy?: Mercredi 24 F?vrier 2021 10:53:14 Objet: Re: Kent-Lille studentship competition OK now ? https://univ-lille-fr.zoom.us/j/8514298916 Chaabane ----- Mail original ----- De: "Dominique Chu" ?: "chabane djeraba" Envoy?: Mercredi 24 F?vrier 2021 10:49:55 Objet: Re: Kent-Lille studentship competition I have some time now (in 3 minutes)? OK? Domimique On Wed, Feb 24, 2021 at 10:48:59AM +0100, Chaabane Djeraba wrote: > Dear Dominique, > Today at any moment ? > > -- Chaabane > > ----- Mail original ----- > De: "Dominique Chu" > ?: "chabane djeraba" > Envoy?: Mercredi 24 F?vrier 2021 10:43:27 > Objet: Re: Kent-Lille studentship competition > > Dear Chabaane, > > thank you for reminding me. I will contact the graduate school about this and let you know. > > As to meeting: When would you want to talk? > > Let me know, please. > > Dominmique > > > On Wed, Feb 24, 2021 at 10:39:58AM +0100, Chaabane Djeraba wrote: > > Dear Dominique, > > > > Have you any feedbacks of our application, selections, discussions or any outcome? > > They should inform project applicants of outcome Wednesday, 24 February 2021, and advertise the project through Schools, Scholarship Finder and MORA. Thursday, 25 February 2021. > > > > As agreed together, if the answer is negative from Kent side, then we will start immediately mounting the project from Lille side. The next firm and definitive deadline is 16 April 2021. We should be ready before the end of March. In that case, the excellency of the candidate is the most important criteria. > > > > There is a third option, in the case the answers are negative from Kent and Lille sides. In that case, we should present excellent PhD candidates. This is the most important criteria of selection. We have a deadline in Lille University during March, in which we should present 3 excellent candidates. > > > > Could we have a visio meeting? > > > > > > ---- Chaabane > > > > > > ----- Mail original ----- > > De: "chabane djeraba" > > ?: "Dominique Chu" > > Cc: "jerome riedi" > > Envoy?: Mercredi 27 Janvier 2021 12:08:12 > > Objet: Re: Kent-Lille studentship competition > > > > Dominique, > > Thanks for all for the valuable work. > > Let us see what will happen ... > > > > Bets regards > > --- > > Chaabane > > > > ----- Mail original ----- > > De: "Dominique Chu" > > ?: kentgrc at kent.ac.uk > > Cc: "jerome riedi" , "chabane djeraba" > > Envoy?: Mercredi 27 Janvier 2021 11:11:30 > > Objet: Kent-Lille studentship competition > > > > Dear Graduate School, > > > > I send you as an attachement an application for a Kent-Lille studentship. > > > > Please do no hesitate to contact me should you require further information or documentation. > > > > I would be very grateful if you could confirm receipt of this message. > > > > > > best regards, > > > > Dominmique Chu From a.gilra at sheffield.ac.uk Wed Feb 24 14:25:20 2021 From: a.gilra at sheffield.ac.uk (Aditya Gilra) Date: Wed, 24 Feb 2021 19:25:20 +0000 Subject: Connectionists: PhD position in cognitively-inspired reinforcement learning for robotics at Sheffield, UK Message-ID: Dear all, Announcing a PhD position with Dr Aditya Gilra and Dr James Law at the University of Sheffield, UK on "Incorporating self- and world-models in neural networks for flexible robot learning and control". The position is funded for 3.5 years by the EPSRC. Details at: https://www.findaphd.com/phds/project/incorporating-self-and-world-models-in-neural-networks-for-flexible-robot-learning-and-control/?p130310 Candidates will be interviewed on a rolling basis as the applications come in. International (non-UK) candidates are advised to apply well in advance of the 7th March deadline. Don't hesitate to email a.gilra at sheffield.ac.uk for further details.. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group & Neuroscience Institute , Department of Computer Science, University of Sheffield, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Thu Feb 25 02:14:48 2021 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Thu, 25 Feb 2021 08:14:48 +0100 Subject: Connectionists: CFP META'2021 @Marrakech Message-ID: Dear colleagues, please distribute the CFP of META Conf. in your networks. Thanks for your collaboration. Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ********************************************************************** ????????????????????????????????????????????????????? META'2021 International Conference on Metaheuristics and Nature Inspired Computing ?????????????????????????????????????????????????? 27-30 Oct 2021 ?????????????????????????????????????????? Marrakech, Morocco http://meta2021.sciencesconf.org/ ********************************************************************** META is one of the main event focusing on the progress of the area of metaheuristics and their applications. As in previous editions, META?2021 will provide an opportunity to the international research community in metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old friends and make new ones in a friendly and relaxed atmosphere. All selected long papers will be published in the Springer (SCOPUS, ISI, DBLP) conference proceedings. At least, 2 special special issues in ISI and SCOPUS journals are also confirmed. META'2021 welcomes presentations that cover any aspects of metaheuristic research such as new algorithmic developments, high-impact applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies. META'2021 strives for a high-quality program that will be completed by a number of invited talks, tutorials, workshops and special sessions. The scope of the META conference includes, but is not limited to: ??? * Local search, tabu search, simulated annealing, VNS, ILS, ? ??? * Evolutionary algorithms, swarm intelligence, bio-inspired algorithms, ? ??? * Emergent nature inspired algorithms: quantum computing, artificial immune systems, bee colony, DNA computing, ? ??? * Quantum computing ??? * Parallel and distributed algorithms ??? * Decomposition methods ??? * Hybrid methods with machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, ? ??? * Application to: logistics and transportation, networks, scheduling, data mining, engineering design, energy, cloud, bio-medical, ? ??? * Theory of metaheuristics, landscape analysis, convergence, problem difficulty, very large neighbourhoods, ? ??? * Multi-objective optimization, bi-level optimization ??? * Dynamic optimization, problems with uncertainty, stochastic optimization, ? ??? * Parameter tuning (static, dynamic, adaptive, self-adaptive) ??? * Hyper-heuristics, cross-domain metaheuristics ??? * Software frameworks for metaheuristics and nature inspired computing Submission of papers: ____________________ - Submission of papers via the website ??? S1) Short papers: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages. ??? S2) Long papers: Original research contributions of a maximum of 10 pages. ??? S3) Journal papers: High-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication. For this special case, the submission should have the same title that the accepted work, the abstract AND the complete reference of the work. - Proceedings of the conference will be provided. Selected papers of type S2 will be published in a Springer book (SCOPUS, ISI, DBLP). - Predefined styles are available on the website http://meta2021.sciencesconf.org/ - Proposals for invited sessions, workshops and tutorials: Deadline April 9, 2021, contact meta2021 at sciencesconf.org Important dates: _______________ - Submission deadline: April 30, 2021 - Notification of acceptance: June 11, 2021 -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com From dwang at cse.ohio-state.edu Thu Feb 25 21:58:48 2021 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Fri, 26 Feb 2021 02:58:48 +0000 Subject: Connectionists: NEURAL NETWORKS, March 2021 Message-ID: Neural Networks - Volume 135, March 2021 https://www.journals.elsevier.com/neural-networks A comprehensive study of class incremental learning algorithms for visual tasks Eden Belouadah, Adrian Popescu, Ioannis Kanellos Finite-time cluster synchronization in complex-variable networks with fractional-order and nonlinear coupling Shuai Yang, Cheng Hu, Juan Yu, Haijun Jiang Insights on the role of external globus pallidus in controlling absence seizures Mingming Chen, Yajie Zhu, Renping Yu, Yuxia Hu, ... Daqing Guo Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study Chen Qiao, Lan Yang, Vince D. Calhoun, Zong-Ben Xu, Yu-Ping Wang Exploitation of image statistics with sparse coding in the case of stereo vision Gerrit A. Ecke, Harald M. Papp, Hanspeter A. Mallot DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning Prayag Tiwari, Hongyin Zhu, Hari Mohan Pandey Quantum-inspired canonical correlation analysis for exponentially large dimensional data Naoko Koide-Majima, Kei Majima Information Aware max-norm Dirichlet networks for predictive uncertainty estimation Theodoros Tsiligkaridis Modular deep reinforcement learning from reward and punishment for robot navigation Jiexin Wang, Stefan Elfwing, Eiji Uchibe Semi-supervised disentangled framework for transferable named entity recognition Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, ... Boyan Xu Deep-gKnock: Nonlinear group-feature selection with deep neural networks Guangyu Zhu, Tingting Zhao Deep multi-kernel auto-encoder network for clustering brain functional connectivity data Hu Lu, Saixiong Liu, Hui Wei, Chao Chen, Xia Geng Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning Arun Pandey, Joachim Schreurs, Johan A.K. Suykens Self-organized operational neural networks for severe image restoration problems Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj Resilient asynchronous state estimation of Markov switching neural networks: A hierarchical structure approach Jun Cheng, Yuyan Wu, Lianglin Xiong, Jinde Cao, Ju H. Park Constraints on Hebbian and STDP learned weights of a spiking neuron Dominique Chu, Huy Le Nguyen Artificial fly visual joint perception neural network inspired by multiple-regional collision detection Lun Li, Zhuhong Zhang, Jiaxuan Lu Greedy auto-augmentation for n-shot learning using deep neural networks Alireza Naghizadeh, Dimitris N. Metaxas, Dongfang Liu -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Thu Feb 25 14:07:55 2021 From: antona at alleninstitute.org (Anton Arkhipov) Date: Thu, 25 Feb 2021 19:07:55 +0000 Subject: Connectionists: Shanahan Foundation Fellowship at the Interface of Data and Neuroscience Message-ID: <3276177A-51F9-4E51-80EF-0CA41C596C8D@alleninstitute.org> Announcing the Shanahan Foundation Fellowship at the Interface of Data and Neuroscience co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) and directed by Christof Koch, Ph.D., Chief Scientist for the MindScope Program at the Allen Institute. The fellowships are funded by the Shanahan Family Foundation and the Allen Institute. This three-year data science postdoctoral fellowship program aims to Integrate Data Scientists into Neuroscience Research and provides Multidisciplinary, Multi-organizational Co-Mentorship (from the Allen Institute and University of Washington). Please see details and application instructions here: https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-foundation-fellowship/ Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona at alleninstitute.org [Text Description automatically generated] alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 26603 bytes Desc: image001.png URL: From nagai.yukie at mail.u-tokyo.ac.jp Fri Feb 26 03:34:28 2021 From: nagai.yukie at mail.u-tokyo.ac.jp (Yukie Nagai) Date: Fri, 26 Feb 2021 17:34:28 +0900 Subject: Connectionists: Assistant Professor / Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo Message-ID: 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 have the opportunity to pursue interdisciplinary research integrating computer science, robotics, neuroscience, cognitive science, and psychology. If you are interested in being considered, please send the required documents to yukie at ircn.jp. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/en/careers/postdoctoral-fellow-project-researcher-nagai-laboratory Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2022. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget and research achievements. 4. Place of Work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Computer Science, Ph.D. in Engineering, or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computational neuroscience, neural network, machine learning, and/or developmental robotics are preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees? pension, employment insurance, and workers? accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications - Deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie at ircn.jp 10. Selection Process All applications will be screened, and only those qualified will be scheduled for an online interview. --------------------------------------------------------------------------------- ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org From benabbessarra at gmail.com Fri Feb 26 08:31:28 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Fri, 26 Feb 2021 14:31:28 +0100 Subject: Connectionists: [CFP] **Deadline Extension** 2nd International workshop on Deep Learning meets Ontologies and Natural Language Processing @ESWC-2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 2nd International workshop "*Deep Learning meets Ontologies and Natural Language Processing*" which will be held online or in Hersonissos, Greece - June 6th 2021. ** *DeepOntoNLP* - Call for Papers *** Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) https://sites.google.com/view/deepontonlp-eswc2021 in conjunction with ESWC 2021 online or in Hersonissos, Greece **Important dates** - Workshop paper submission due: *March 1st, 2021** March 14th, 2021* - Workshop paper notifications: March 31st, 2021 - Workshop paper camera-ready versions due: April 9th, 2021 - Workshop: June 6th, 2021 (Half-Day) All deadlines are 23:59 anywhere on earth (UTC-12). **Workshop description** In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions. Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations. The combination of DL, ontologies and NLP might be beneficial for different tasks: ? Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration, ? Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations), ? Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc. ? NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc. **Objective** This workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in natural language processing, structured knowledge and deep learning approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. **Topics of interests** ? Construction ontology embeddings ? Ontology-based text classification ? Learning ontology embeddings ? Semantic role labelling ? Ontology reasoning with Deep Neural Networks ? Deep learning for ontological semantic annotations ? Spatial and temporal ontology embeddings ? Ontology alignment and matching based on deep learning models ? Ontology learning from text using deep learning models ? Unsupervised Learning ? Text classification using deep models ? Neural machine translation ? Deep question answering ? Deep text summarization ? Deep speech recognition ? and so on. **Submission** The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to LNCS instructions for authors . Papers are to be submitted through the Easychair Conference Management System . We welcome the following types of contributions: - Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics - Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the ESWC 2021 page. **Publication** The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021. **Workshop chairs** *Sarra BEN ABBES*, Engie, France *Rim HANTACH*, Engie, France *Philippe CALVEZ*, Engie, France **Program Committee** Nada Mimouni, CNAM, France Lynda Temal, Engie, France Davide Buscaldi, LIPN, Universit? Sorbonne Paris Nord, France Valentina Janev, Mihajlo Pupin Institute, Serbia Mohamed Hedi Karray, LGP-INP-ENIT, Universit? de Toulouse, France Efstratios Kontopoulos, Catalink Ltd, Cyprus Wei Hu, Nanjing University, China Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico Linda Elmhadhbi, Universit? de Toulouse, France Amir Laadhar, Aalborg University, Denmark Yannis Haralambous, IMT Atlantique, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.reske at fz-juelich.de Fri Feb 26 09:57:46 2021 From: m.reske at fz-juelich.de (Martina Reske) Date: Fri, 26 Feb 2021 15:57:46 +0100 Subject: Connectionists: Job opening in Juelich, Germany: Coordinator Software Development -, Neuronal Data Analysis Tools Message-ID: <89fe78b6-8190-d7b5-1a04-40a615ada49a@fz-juelich.de> The Institute of Neuroscience and Medicine (INM) at the J?lich Research Center in Germany investigates the structure and function of the brain. The subinstitute Computational and Systems Neuroscience (INM-6) consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Gr?n develops computational methods to analyze the joint activity of neuronal networks, and applies these methods to experimental data in the context of international collaborations. As part of the group, the team for Data Science in Electro- and Optophysiology Behavioral Neuroscience, headed by Dr. Michael Denker, develops software tools and processes to support reproducible data acquisition, analysis and model validation using state-of-the-art approaches from neuroinformatics in the spirit of co-design with scientists and closely integrated with the EBRAINS services of the Human Brain Project. To strengthen our international and interdisciplinary team we are looking to recruit a Coordinator Software Development - Neuronal Data Analysis Tools Your Job: * Agile development, maintenance, coordination and distribution of the open-source Elephant analysis software (python-elephant.org) and closely related software tools, including handling inquiries and contributions via issue systems and similar channels * Design of implementations of library features and statistical analysis tools for neuronal data * Development of solutions for software packaging, including deployment on HPC systems * Maintenance and improvement of the interactive software documentation, including content for the presentation of the software on the web and on social media * Parallelization of analysis codes using modern technologies * Development of a service-based architecture for analysis tasks * Review and evaluation of software contributions from a world-wide community with respect to scientific content, the code maturity, and the possibility to be integrated into the Elephant software * Co-design and dissemination of generic conceptual guidelines and project-specific implementations for scientific workflows * Close interaction with developers of EBRAINS and across the globe * Representing the technology at scientific conferences, during educational courses, to the public, and within the framework of the EU Flagship Project ?Human Brain Project? Your Profile: * Completed study (Master) in natural sciences, computer science or mathematics * Very good expertise in the programming languages Python and C/C++; knowledge of Matlab and web-based technologies (e.g., javasscript); experience with parallelization techniques (e.g., MPI) and in the standard Linux tools; experience in web-based services for managing software (version control, issue tracking, CI,?) * Experience in implementing scientific analysis methods and creating documentation and course material * Experience in maintaining open source software projects * High ability to work in an interdisciplinary, international team * Structured and organized style of working * Fluent in English, spoken and written * Ability to work independently, systematically and on one?s own responsibility * Good communication skills with software developers and scientists * Willingness to travel Note that it is not necessary to fulfil all of these requirements in order to be considered for the position Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A position in a creative and international team that conducts research at the frontiers of science, themes ranging from computational neuroscience to simulation technology * World class science environment at the interface between neuroscience and technology on the most complex known systems * Excellent scientific equipment including the fastest supercomputer in Europe * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Flexible working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. Limited until 31.03.2023, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TV?D). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13-14 TV?D-Bund. Forschungszentrum J?lich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application until 28.03.2021 via our Online-Recruitment-System! Kind regards Martina -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Fri Feb 26 10:17:07 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Fri, 26 Feb 2021 16:17:07 +0100 Subject: Connectionists: CFP - DEADLINE EXTENDED | MDPI Journal of Imaging special issue on "Fine Art Pattern Extraction and Recognition" | DEADLINE EXTENDED Message-ID: <7e2f61c3-222d-3b37-2a93-99c738a253f4@unifi.it> apologies for multiple posting, please distribute among interested parties __________________________________________________________________________ ??????????????? ? ?? Call for Papers - Special Issue ?? ???????????????? of the MDPI Journal of Imaging on ? ? ????????? _____________________________________________ ?? ? ????????? Fine Art Pattern Extraction and Recognition ??? ? ??????? _____________________________________________ ????????????? ?? D E A D L I N E?? E X T E N D E D?? T O ?? ? ? ? ? ? ? ? ? ? ? ?? 3 1?? M A Y?? 2 0 2 1 ????????????? _____________________________________________ -->>> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<<-- __________________________________________________________________________ ___________ Aim & Scope Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. This special issue will provide the researchers from diverse areas such as pattern recognition, computer vision, artificial intelligence, and image processing, with the opportunity to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. _______________________________________ Topics include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio, and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition _______________________________________________ Submission Deadline (*EXTENDED*):? 31 May 2021 _______________________________________________ Submit your paper to manuscript submission and peer review site via the following link: ->> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<- The Article Processing Charge (APC) for publication in the MDPI Journal of Imaging is 1000 CHF (Swiss Francs). ________________ Editor-in-Chief ________________ Prof. Gonzalo Pajares Martinsanz, Universitad Complutense de Madrid, Spain ______________ Guest Editors ______________ Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy From Tingting.Mu at manchester.ac.uk Sat Feb 27 04:12:19 2021 From: Tingting.Mu at manchester.ac.uk (Tingting Mu) Date: Sat, 27 Feb 2021 09:12:19 +0000 Subject: Connectionists: Job Opening: Machine Learning and Text Mining/NLP Scientist Message-ID: <028DDDD5-9CC7-4E11-94BC-C1988C27FAA0@contoso.com> Job Title: Machine Learning and Text Mining/NLP Scientist Place of Work: Thornton & Lowe and University of Manchester, UK Qualifications: A first-class BSc/BEng and a PhD degree in machine learning and/or text mining/natural language processing, and with application experience relevant to text information retrieval, prediction modelling or decision making. However, candidates who can demonstrate strong and relevant commercial experience with a Master?s degree which substitutes for a PhD could be considered. Salary: ?32,816 to ?40,322 per annum, depending on experience, plus access to ?5k personal development budget Project Description: A 30 month project aiming at developing and launching a smart tender scan & support product using state-of-the-art information retrieval techniques enhanced by recent advances in natural language processing, machine learning, incorporating information summarisation and visualisation to enhance functionality and usability. The project is funded through a Knowledge Transfer Partnership (KTP) award with Thornton & Lowe Ltd. Application link: https://www.jobs.manchester.ac.uk/displayjob.aspx?isPreview=Yes&jobid=19588 -- Dr. Tingting Mu Lecturer (Assistant Professor) Department of Computer Science The University of Manchester Address: Room G13, Kilburn Building, Manchester, UK, M13 9PL Email: tingting.mu at manchester.ac.uk Homepage: http://personalpages.manchester.ac.uk/staff/tingting.mu/Site/About_Me.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Sun Feb 28 06:16:00 2021 From: sias at sscc.fr (Symposium IAS ) Date: Sun, 28 Feb 2021 12:16:00 +0100 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems Message-ID: <007c01d70dc3$20039b10$600ad130$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ in conjunction with " 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture . IAS modeling (formal models, SysML, UML, etc) . Correct-by-construction in IAS . MBSE, MDA and DDA for IAS . Virtualization and digital twins for IAS . Blockchains and decentralized architecture for IAS . IAS smart Networking . Communication protocols for IAS . Edges, Fog, and Cloud in IAS . Distributed database for IAS . Web services for IAS . Social aspects and human interaction in IAS IAS Analysis . Artificial intelligence, deep learning, and machine learning in IAS . Model checking and theorem proving for IAS . Abstraction and compositional verification for IAS . Optimization and SAT solvers for IAS . Dynamic and static analysis for IAS . Statistical analysis for IAS . Testing for IAS . Smart decision making in IAS . Fog and edge computing for IAS IAS Assurance . Security specification, requirements, and management in IAS . Security in distributed IAS . Modeling, analysis and detection of attacks in IAS . Data mining for cybersecurity in IAS . Security protocols for IAS . Safety policies for IAS . Safety reinforcement models in IAS . Safety standard analysis for IAS . Resilience metrics and models for IAS . Resilience strategies and plans for IAS . Recovery systems for IAS resiliency . Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases . Applications and Software Platforms for IAS . IoT and CPS for IAS . Smart cities . IAS for industrial and production CPS . Autonomous robots and vehicles . Human-Robot Interaction . Smart logistics (transportation, supply chain, etc) Important Dates . Submission Date: 25 April,2021 . Notification to Authors: 25 May, 2021 . Camera Ready Submission: 4 June, 2021 Submission System . https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.vandemeent at northeastern.edu Sun Feb 28 17:33:37 2021 From: j.vandemeent at northeastern.edu (Van De Meent, Jan-Willem) Date: Sun, 28 Feb 2021 22:33:37 +0000 Subject: Connectionists: Call for Submissions: International Conference on Probabilistic Programming (PROBPROG 2021) Message-ID: <9083D377-0CF9-4DA7-887D-4A30BED5131A@northeastern.edu> Call for Submissions: International Conference on Probabilistic Programming (PROBPROG 2021) Conference Dates: Wed Oct 20 - Fri Oct 22, 2021 Deadline: Thu May 6, 2021 11:59 PM AOE Submissions: https://cmt3.research.microsoft.com/PROBPROG2021/ Instructions: https://probprog.cc/submissions/ The International Conference on Probabilistic Programming (PROBPROG 2021) will take place Oct 20 - 22, 2021, in a fully online format. The conference invites two kinds of submissions: 1. Extended Abstracts Authors may submit work in the form of an extended abstract of 2-6 pages for consideration for a poster presentation, talk, or full-length proceedings submission. Extended abstracts are intended as a mechanism for discussing work that may be preliminary, and for this reason are non-archival. Titles for accepted poster presentations and talks will be listed on the conference website. Our aim is to enable researchers to get feedback from the PROBPROG community that helps mature the research, strengthen the probabilistic programming content, and improve the chances of acceptance in top venues aligned with other fields. 2. Syndicated Submissions Authors may submit work that has been accepted for publication at another venue within the last 12 months for consideration as a poster presentation or talk. These submissions may be full-length and are also non-archival, but will be listed on the conference website. Program Chairs - Guy Van den Broeck (UCLA) - Lawrence Murray (Uber) General Chairs - Jean-Baptiste Tristan (Boston College) - Jan-Willem van de Meent (Northeastern University) Program Information - Wed 20 October: Industry day and Tutorials - Thu 21 October: Main conference - Fri 22 October: Main conference Probabilistic programming is an emergent field based on the idea that probabilistic models can be efficiently represented as executable code. This idea has enabled researchers to formalize, automate, and scale up many aspects of modeling and inference; to make modeling and inference accessible to a broader audience of developers and domain experts; and to develop new programmable AI systems that integrate modeling and inference approaches from multiple domains. PROBPROG is the first international conference dedicated to probabilistic programming. PROBPROG includes presentations on basic research, applied research, open source, and the practice of probabilistic programming. PROBPROG attendees come from academia, industry, non-profits, and government. The conference aims to achieve three goals: 1. Create a venue where researchers from multiple fields ? e.g. programming languages, statistics, machine learning, and artificial intelligence ? can meet, interact, and exchange ideas. 2. Grow a diverse and inclusive probabilistic programming community, by actively seeking participation from under-represented groups, and providing networking opportunities, mentorship, and feedback to all members. 3. Support the development of the practice of probabilistic programming, including open-source systems and real-world applications, and provide a bridge between the practice of probabilistic programming and basic research. PROBPROG welcomes abstract submissions for contributed research presentations, demonstrations, open-source systems, participants in open discussions, and consideration for invited publication in an online journal. Submissions should indicate alignment with one or more of the following themes: 1. Artificial and Natural Intelligence Probabilistic programs and probabilistic programming technology for formulating and solving the core problems of intelligence, including research relevant for engineering artificial intelligence and for reverse-engineering natural intelligence. A central theme in this track is new AI architectures based on probabilistic programming that integrate statistical, symbolic, neural, Bayesian, and simulation-based approaches to knowledge representation and learning. Another central theme is proposals for learning probabilistic programs from data, and modeling high-level forms of human learning using probabilistic program synthesis. This track also includes research at the intersection of probabilistic programming and intelligence augmentation, collective intelligence, machine learning, and the development and analysis of intelligent infrastructure. 2. Statistics and Data Analysis Probabilistic programs and probabilistic programming technology for formulating and solving problems in statistics and data analysis. Topics include latent variable models, parameter estimation, automated data modeling, Bayesian inference, calibration, model checking, model criticism, visualization, and testing of statistical models and inference algorithms. This track also includes statistical applications and deployments of probabilistic programming for data analysis. 3. Languages, Tools, and Systems The design, implementation, and formal semantics of probabilistic programming languages and systems, including domain-specific and general-purpose languages, interpreters, compilers, probabilistic meta-programming techniques, probabilistic meta-programming languages, and runtime systems. This track also includes research on dynamic and static analysis of probabilistic programs, and empirical and theoretical study of the usability, performance, and accuracy of probabilistic programming languages and systems. 4. The Practice of Probabilistic Programming This track is centered on four themes: (i) probabilistic programs and systems based on probabilistic programming that solve problems in industry, government, philanthropic work, applied research, and teaching, as well as potential use cases for probabilistic programs or probabilistic programming technology in these areas; (ii) challenges that arise when using probabilistic programming in practice, including inspection, debugging, testing, and performance engineering; (iii) human-centric design of probabilistic programs and probabilistic programming technology; and (iv) probabilistic programming tools, probabilistic program analyses, probabilistic programming styles/workflows, probabilistic programming practices/guidelines/experience reports, and probabilistic programming environments with the potential to address issues faced by practitioners. From nemanja at temple.edu Sun Feb 28 04:13:49 2021 From: nemanja at temple.edu (Nemanja Djuric) Date: Sun, 28 Feb 2021 04:13:49 -0500 Subject: Connectionists: 2nd CfP: The 3rd Workshop on "Precognition: Seeing through the Future" @ CVPR 2021 Message-ID: Call for Workshop Papers The 3rd Workshop on "Precognition: Seeing through the Future" in conjunction with The 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) Virtual conference, June 19th-25th, 2021 https://sites.google.com/view/ieeecvf-cvpr2021-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through the organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. This is the third Precognition workshop organized at CVPR. It follows very successful workshops organized in 2019 and 2020, which featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the websites of Precognition 2019 and Precognition 2020, linked at the workshop website. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity and trajectory forecasting - Multi-agent forecasting - Human behavior and pose prediction - Human face aging prediction - Predicting frames and features in videos and other sensors in autonomous driving - Traffic congestion anomaly prediction - Automated Covid-19 prediction in medical imaging - Visual DeepFake prediction - Short- and long-term prediction and diagnoses in medical imaging - Prediction of agricultural parameters from satellite imagery - Databases, evaluation and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Extended abstracts of already published works can also be submitted. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2021 ================= Important Deadlines: Submission : March 28th, 2021 Decisions : April 12th, 2021 Camera-ready : April 17th, 2021 Workshop : June 19th, 2021 (subject to change by the CVPR organizers) ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Minh Hoai Nguyen (Stony Brook University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Aurora Innovation) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Sun Feb 28 12:16:21 2021 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Sun, 28 Feb 2021 18:16:21 +0100 Subject: Connectionists: PhD position in Machine Learning with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany Message-ID: <20210228171621.GG17340@curry> 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. From george at cs.ucy.ac.cy Sun Feb 28 06:49:54 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sun, 28 Feb 2021 13:49:54 +0200 Subject: Connectionists: 8th International Symposium on End-User Development (IS-EUD 2021): Last Call for Papers Message-ID: *** Last Call for Papers *** 8th International Symposium on End-User Development (IS-EUD 2021): "Democratizing AI Development" July 6-8, 2021, Atlantica Miramare Beach Hotel 4*, Limassol, Cyprus http://cyprusconferences.org/iseud2021/ Extended submision deadlines! (Proceedings to be published by Springer) End-user development (EUD) aims at empowering end users to develop and adapt systems at a level of complexity that is adequate to their expertise, practices, and skills. EUD may occur along the entire software lifecycle, with the purpose of making users able to participate in their artifact development, not only at design time, but also during actual use. Originally, EUD was conceived as a more general concept than end-user programming; thus, scholars proposed methods, techniques and tools that allow end users to modify or extend software artifacts, such as spreadsheets, web applications, video games, and mobile applications. In the co-called Internet of Things era, end-user development moved on to address the problem of defining and modifying the behavior of smart environments, including smart objects, pervasive displays, smart homes, smart cities, and so on. Therefore, the term "end-user development" acquired a broader meaning covering approaches, frameworks and socio-technical environments that allow end users to express themselves in crafting digital artifacts that encompass both software and hardware technology. Recent research and technological trends like Artificial Intelligence (AI), Big Data, Cyber-Security, Robotics, and Industry 4.0, have contributed to renew the vision of end-user development, by providing tools and platforms that allow end users to harness the power of AI to create solutions involving Computer Vision, Image Processing, Conversational User Interfaces, as well as solutions for smart environments. Such developments lower the threshold for creating AI solutions, and expand the programmer base for such solutions, by extending AI application both for professional and discretionary use. IS-EUD is a bi-annual event for researchers and practitioners with an interdisciplinary approach to EUD, including: Human-Computer Interaction, Software Engineering, Computer Supported Cooperative Work, Human-Work Interaction Design, and related areas. IS-EUD 2021 Theme: Democratizing AI Development The 2021 edition of IS-EUD focuses on EUD for AI-based systems, where end users are called on to become end-user developers of intelligent agents, digital twins, collaborative and social robots. This edition would like to discuss the adoption of EUD in new fields, the proposal of novel EUD paradigms, and the impact of AI-based EUD in terms of user acceptability and appropriation. One of the most interesting topics in human-AI interaction is explainability of AI-based systems: research submissions presenting end- user oriented solutions to this problem will be particularly welcome. Theoretical and empirical work analyzing pros and cons of this new EUD wave, identifying requirements for end-user development of AI and acceptance of related solutions is invited. Software infrastructures and eco- systems supporting the reuse of solutions and the emergence of meta- design practices are of particular interest to this community, linking the challenges relating AI to topics central to the IS-EUD community. Conference Topics The conference welcomes contributions that: ? describe new, simple and efficient environments for end-user development ? describe new processes, methods and techniques for empowering users to create, modify and tailor digital artifacts ? present case studies and design implications on challenges and practices of end-user development ? develop theoretical concepts and foundations for the field of end-user development Specific topics include (but are not limited to) the following ones: ? User-oriented orchestration of AI-based devices ? Conversational interfaces for end-user development ? End-user development for big data visualization and exploration ? End-user development for collaborative robotics ? End-user development for social robotics ? End-user development in Industry 4.0 ? End-user development and explainable AI-based systems ? Cybersecurity and end-user development ? End-user development in daily life ? Technologies and infrastructures for end-user development ? Empirical studies of end-user development ? Recommender systems to support end-user development ? Cultures of participation and meta-design approaches ? Technology acceptance and adoption studies of end-user development technologies ? Evaluation of end-user development technologies ? Supporting creative work through end-user development Submissions We invite two types of paper submissions: 1. Regular papers, up to 16 pages, describing original unpublished research making a substantial contribution to the research field 2. Short papers, up to 8 pages, describing original unpublished research, making a small but solid contribution to the field All submissions will be reviewed by the Program Committee. The review process for this category is double-blind, thus submissions must be anonymized. Accepted papers (both regular and short) will appear in the archival proceedings of IS-EUD 2021, published by Springer in the Lecture Notes on Computer Science (LNCS) series, and will be presented in plenary sessions of the conference. Workshop proposals are invited (max 6 pages) aligned to the themes of the conference. Workshops provide an informal setting where participants have the opportunity to discuss specific topics in an atmosphere that fosters the active exchange of ideas. Workshops can be half day or one-day long and will be held on July 6, 2021. Accepted workshop proposals will be included in the IS-EUD 2021 adjunct proceedings, which will be submitted to http://ceur-ws.org for online publication. Submissions of regular papers, short papers and workshop proposals should indicate in the title page "Regular", "Short" or "Workshop" respectively. Demonstration and Work in Progress papers are also welcomed. A Demonstration paper (max 6 pages) should be structured according to the following: ? Abstract (150 words maximum) ? Topics to be covered and their relevance to the EUD community ? Detailed description of the planned demonstration activity ? Diagrams or screenshots (if relevant) ? Supporting documentation (e.g., project website) ? References Work in Progress submissions (max 6 pages) are intended for presenting preliminary results or tentative findings and position papers. The authors of accepted contributions will have the opportunity to give an oral presentation during parallel sessions. Finally, the IS-EUD Doctoral Consortium is intended to bring together PhD students working on theory and application of EUD. We particularly encourage students that are about half-way through their doctoral research to submit doctoral consortium contributions (max 6 pages) describing the topic of their PhD, their approach and a summary of their progress. Demonstration, Work in Progress and Doctoral Consortium submissions should indicate in the title page "Demo", "WiP" or "DC" respectively. Accepted submissions will be included in IS-EUD 2021 adjunct proceedings, which will be submitted to http://ceur-ws.org for online publication. Submissions of all types should be carefully formatted according to the Springer LNCS format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and should be submitted through the Easy Chair system at: https://easychair.org/conferences/?conf=iseud2021 Important Dates (Extended!) ? Regular and Short papers submission: March 22, 2021 ? Notification: April 14, 2021 ? Camera-ready: May 15, 2021 ? Workshop proposal submission: March 8, 2021 ? Notification: March 15, 2021 ? Camera-ready: May 31, 2021 ? Demonstration and Work in Progress submission: April 21, 2021 ? Notification: May 15, 2021 ? Camera-ready: May 31, 2021 ? Doctoral Consortium submission: April 21, 2021 ? Notification: May 15, 2021 ? Camera-ready: May 31, 2021 Organizers General Chairs ? Panos Markopoulos (Eindhoven University of Technology, The Netherlands) ? George A. Papadopoulos (University of Cyprus, Cyprus) Program Chairs ? Daniela Fogli (University of Brescia, Italy) ? Daniel Tetteroo (Eindhoven University of Technology, The Netherlands) Short papers Chairs ? Barbara Rita Barricelli (University of Brescia, Italy) ? Simone Borsci (University of Twente, The Netherlands) Work in Progress Chairs ? Jelle Van Dijk (University of Twente, The Netherlands) ? Carmen Santoro (ISTI-CNR, Italy) Demonstration Chair ? Stefano Valtolina (University of Milan, Italy) Workshop Chairs ? Styliani Kleanthous (Open University of Cyprus, Cyprus) ? Simone Stumpf (City University London, UK) Doctoral Consortium Chairs ? Monica Maceli (Pratt Institute, USA) ? Antonio Piccinno (University of Bari, Italy) -------------- next part -------------- An HTML attachment was scrubbed... URL: