From suashdeb at gmail.com Mon Aug 1 00:45:48 2022 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 1 Aug 2022 10:15:48 +0530 Subject: Connectionists: Final extension of deadline, ISCMI22 Message-ID: Dear friends and esteemed colleagues, Warmest greetings from India. This is to share with you that considering the present global situation as well as requests from several peers, the deadline for submission of manuscripts for lSCMl 2022, the annual flagship event of llCCl http://www.iicci.in/, had been extended for a final time, till 30th August 2022 http://iscmi.us/index.html The conference will be held in virtual mode (due to Covid and monkeypox issues). In case you could not submit your own paper(s) till now, this is the final opportunity ? With kind rgds, Suash Deb General Chair, ISCMI 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From zelie.tournoud at cnrs.fr Mon Aug 1 04:32:10 2022 From: zelie.tournoud at cnrs.fr (=?UTF-8?Q?Z=c3=a9lie_Tournoud?=) Date: Mon, 1 Aug 2022 10:32:10 +0200 Subject: Connectionists: EBRAINS Workshop 14-16 March 2023, Paris FR - Anatomy and function of the prefrontal cortex across species Message-ID: <954cc6b6-cf65-8136-d9bd-4c26763f311e@cnrs.fr> Dear colleagues, Please find below the announcement of the EBRAINS Workshop "Anatomy and function of the prefrontal cortex across species" taking place 14-16 March 2023 in Paris, France. Registration is currently open with an early bird pricing. Kind regards, *Z?lie Tournoud*/ EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 ? *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS ? Universit? Paris-Saclay Centre CEA Paris-Saclay B?timent 151 91400 Saclay https://www.eitn.org _____ EBRAINS Workshop Anatomy and function of the prefrontal cortex across species *14 ? 16 March 2023 | Paris, France* Program, information and registration: https://www.humanbrainproject.eu/en/education-training-career/workshops/pfc/ *Early Bird Registration Deadline: 21 November 2022 * *Late Registration Deadline: 28 February 2023* About Understanding the human brain relies for a large part on work in animal models, which necessitates a careful *cross-species comparison*. The *prefrontal cortex*?(PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational**scientists whose work allows a comparison of the *anatomy*?and *function*?of the PFC between species (in particular between humans, monkeys and mice). EBRAINS ?is uniquely suited to provide a platform to compare anatomy, physiology and behaviour between species, due to its atlases, numerous datasets, as well as the whole brain models from different species. The *interactive format*?of the workshop will allow speakers as well as participants from largely separated fields to interact and discuss, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology, formats and important research directions in the field. Confirmed speakers *Day 1* *Anatomy:* *Javier DeFelipe*?|?Cajal Institute, Madrid, Spain *Huib Mansvelder*?|?Vrije Universiteit Amsterdam, Amsterdam, The Netherlands *Chet Sherwood*?|?GW Mind-Brain Institute, Washington, USA *Suzana Herculano-Houzel *|?Vanderbilt University, Nashville, USA *Henry Kennedy*?|?Stem Cell and Brain Research Institute, Lyon, France *Marie Carl?n*?|?Karolinska Institute, Stockholm, Sweden *Physiology:* *Wim Vanduffel*?|?KU Leuven, Leuven, Belgium *Mark Laubach*?|?American University, Washington, USA *Stefan Everling*?|?Western University, London, Canada *Hendrikje Nienborg*?|?National Eye Institute, Bethesda, USA *Martha Havenith*?|?Ernst Str?ngmann Institute for Neuroscience, Frankfurt, Germany *Yang Dan*?|?University of California, Berkeley, USA *Day 2* *Behavior & physiology:* *Pieter Roelfsema*?|?Netherlands Institute for Neuroscience, Amsterdam, The Netherlands *Andreas Nieder*?|?University of T?bingen, T?bingen, Germany *Sandra Reinert*?|?Max Planck Institute for Biological Intelligence, Martinsried, Germany *Ann Duan*?|?Sainsbury Wellcome Centre, London, UK *Stanislas Dehaene*?|?NeuroSpin, Gif-sur-Yvette, France *Jessica Cantlon*?|?Carnegie Mellon University, Pittsburgh, USA *Computational modelling:* *Idan Segev*?|?Edmond & Lily Safra Center for Brain Sciences, Jerusalem, Israel *Rodrigo Cofre*?|?NeuroPSI, Gif-sur-Yvette, France *Rub?n Moreno Bote*?|?University Pompeu Fabra, Barcelona, Spain *Jorge Mejias*?|?Universiteit van Amsterdam,?Amsterdam, The Netherlands *Adrienne Fairhall*?|?University of Washington, Seattle, USA *Xiao-Jing Wang *|?New York University, New York, USA Scientific Chairs & Local hosts *Timo van Kerkoerle**|***CEA Saclay, France *Alain Destexhe* *|***?CNRS, France *Ruth Benavides-Piccione* *|***Spanish National Research Council & Universidad Polit?cnica de Madrid, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From clpesquita at fc.ul.pt Mon Aug 1 05:46:09 2022 From: clpesquita at fc.ul.pt (Catia Pesquita) Date: Mon, 1 Aug 2022 10:46:09 +0100 Subject: Connectionists: CfP: VOILA 2022 (extended deadlines) - Visualization and Interaction for Ontologies and Linked Data Message-ID: CALL FOR CONTRIBUTIONS VOILA 2022 - Visualization and Interaction for Ontologies and Linked Data 7th International Workshop at ISWC 2022, 21th International Semantic Web Conference October 23 or 24, 2022, Virtual Workshop http://voila2022.visualdataweb.org Paper submission and reviewing for this workshop are organized via EasyChair. https://easychair.org/conferences/?conf=voila202 2 -------------------------------------------------- NEW DATES: Abstracts Deadline: August 4, 2022 (optional) Submission Deadline: August 11, 2022 (midnight Anywhere on Earth) -------------------------------------------------- We are looking for submissions addressing one or more of the following topics, subjects, and contexts (or related ones): * Topics: - visualizations - user interfaces - visual analytics - requirements analysis - case studies - user evaluations - cognitive aspects - context-aware visualizations and interactions - applications for new interaction techniques (e.g., touch, gestures, etc.) - mobile user interfaces * Subjects: - ontologies - linked data - knowledge graphs - ontology engineering (development, collaboration, ontology design patterns, alignment, debugging, evolution, provenance, etc.) * Contexts: - classical interaction contexts (desktop, keyboard, mouse, etc.) - modern interaction contexts (mobile, touch, gesture, speech, etc.) - special settings (large, high-resolution, and multiple displays, etc.) - specific user groups and needs (people with disabilities, domain experts, etc.) Submission Guidelines ========== The following types of contributions are welcome. The recommended page length is given in brackets. There is NO strict page limit but the length of a paper should be commensurate with its contribution. - Full research papers (8-12 pages); - Experience papers (8-12 pages); - Position papers (6-8 pages); - Short research papers (4-6 pages); - System papers (4-6 pages). Accepted papers will be published as a volume in the CEUR Workshop Proceedings series. Important Dates ========== Abstract: August 4, 2022 (extended, optional) Submission: August 11, 2022 (extended) Notification: September 12, 2022 Camera-ready: September 29, 2022 Workshop: October 23 or 24, 2022 Organizers ========== Bo Fu, California State University Long Beach, USA Patrick Lambrix, Link?ping University and University of G?vle, Sweden Catia Pesquita, LASIGE, University of Lisbon, Portugal Looking forward to your submissions & meeting you there! Bo, Catia and Patrick -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Tue Aug 2 01:56:40 2022 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Tue, 2 Aug 2022 05:56:40 +0000 Subject: Connectionists: 3rd CfP Third workshop on Resources for African Indigenous Language (RAIL) Message-ID: <990ba0c96c7502674585f5af6afa29a42c27677a.camel@nwu.ac.za> Third call for papers Third workshop on Resources for African Indigenous Language (RAIL) https://bit.ly/rail2022 The South African Centre for Digital Language Resources (SADiLaR) is organising the 3rd RAIL workshop in the field of Resources for African Indigenous Languages. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it will allow for information sharing among researchers interested in African indigenous languages and also start discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. Suggested topics include the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources The 3rd RAIL workshop 2022 will be co-located with the 10th Southern African Microlinguistics Workshop ( https://sites.google.com/nwulettere.co.za/samwop-10/home). This will be an in-person event located in Potchefstroom, South Africa. Registration will be free. RAIL 2022 submission requirements: * RAIL asks for full papers from 4 pages to 8 pages (plus more pages for references if needed), which must strictly follow the Journal of the Digital Humanities Association of Southern Africa style guide ( https://upjournals.up.ac.za/index.php/dhasa/libraryFiles/downloadPublic/30 ). * Accepted submissions will be published in JDHASA, the Journal of the Digital Humanities Association of Southern Africa ( https://upjournals.up.ac.za/index.php/dhasa/). * Papers will be double blind peer-reviewed and must be submitted through EasyChair (https://easychair.org/my/conference?conf=rail2022). Important dates Submission deadline: 28 August 2022 Date of notification: 30 September 2022 Camera ready copy deadline: 23 October 2022 RAIL: 30 November 2022, North-West University - Potchefstroom SAMWOP: 1 ? 3 December 2022, North-West University - Potchefstroom Organising Committee Jessica Mabaso Rooweither Mabuya Muzi Matfunjwa Mmasibidi Setaka Menno van Zaanen South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ From terry at salk.edu Tue Aug 2 15:26:33 2022 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 02 Aug 2022 12:26:33 -0700 Subject: Connectionists: NEURAL COMPUTATION - August 1, 2022 In-Reply-To: Message-ID: Neural Computation - Volume 34, Number 8 - August 1, 2022 Available online for download now: http://www.mitpressjournals.org/toc/neco/34/8 http://cognet.mit.edu/content/neural-computation ----- Articles Recurrent Connections in the Primate Ventral Visual Stream Mediate a Tradeoff Between Task Performance and Network Size During Core Object Recognition Aran Nayebi, Javier Sagastuy-Brena, Daniel Marcus Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, and Daniel L.K. Yamins Using Global T-SNE to Preserve Inter-cluster Data Structure Tatyana Sharpee, Yuansheng Zhou Letters Learning and Inference in Sparse Coding Models with Langevin Dynamics Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, and Bruno A. Olshausen A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect Simon Forest, Jean-Charles Quinton, and Mathieu Lefort Fixed-time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L{1??2}-norm Xiaofeng Liao, You Zhao, and Xing He Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks Paul Tupper, Simone Brugiapaglia, and Matthew Liu Differential Geometry Methods for Constructing Manifold-targeted Recurrent Neural Networks. Federico Claudi, Tiago Branco An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With Spike Camera Yu Zhang, Yaouy Zhu, Xiaodong Xie, and Tiejun Huang ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From dftschool at ini.rub.de Wed Aug 3 05:28:23 2022 From: dftschool at ini.rub.de (DFT Summer School) Date: Wed, 3 Aug 2022 11:28:23 +0200 Subject: Connectionists: Neuronal Dynamics for Embodied Cognition - Virtual Summer School 2022. Workshop Application deadline extended to August 8! Message-ID: <8558a838-a8e5-0953-983f-f373184895ee@ini.rub.de> Please forward this advertisement to whoever you think might be interested. This virtual edition of our summer school will consist of two parts: An open-for-everyone live-lecture series and a hands-on workshop with a limited number of participants. We still have *open *slots in our workshop, so please consider joining us. The deadline for workshop applications has been extended to August 8, 2022! Participation in any part of the school is free of charge. Thanks, Raul Grieben and Jan Tek?lve - - - Virtual DFT School 2022 This year our summer school "Neural Dynamics for Embodied Cognition" will take place in virtual form from the 15th to the 20th of August, 2022. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. The lecture series will be held as a video conference and provides a step-by-step introduction to Dynamic Field Theory. The two-and-a-half-day project workshop gives students the opportunity to put to use the newly acquired skills in a concrete hands-on modeling project. Students solve the task in our open-source simulation environment under the guidance of a personal tutor. This year's lectures will be open for everyone,? while the one-on-one tutoring limits the number of participants who can take part in the workshop. We also encourage workshop applications by small groups of participants, maybe two or three colleagues who will work together locally on the same project and may share a tutor. Although this format will not retain the appeal of meeting other students in person, we will make this year's experience as interactive as possible. The lecture series will be held from the 15th to the 20th of August and the workshop takes place from the 18th to the 20th of August. Lectures will take place from 3 to 6 p.m. (CET) on each day and personal tutoring will be available on each workshop day. Participation in any part of the school is free of charge. To apply for the lecture series and/or the workshop, please visit our webpage: https://dynamicfieldtheory.org/events/summer_school_2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From martin.butz at uni-tuebingen.de Wed Aug 3 07:31:48 2022 From: martin.butz at uni-tuebingen.de (Martin Butz) Date: Wed, 3 Aug 2022 13:31:48 +0200 Subject: Connectionists: =?utf-8?q?2_PhD_Positions_=40_T=C3=BCbingen_Unive?= =?utf-8?q?rsity_-_T=C3=BCbingen_AI_Center_-_ML_Cluster_of_Excellence?= Message-ID: <296c8d95-0732-6fcc-7f30-03d041a8f5c5@uni-tuebingen.de> The ?Neuro-Cognitive Modeling ? Group led by Prof. Dr. Martin Butz at the University of T?bingen, Germany, partially in collaboration with the ?Human and Machine Cognition ? lab led by Dr. Charley M. Wu (University of T?bingen, Cluster of Excellence "Machine Learning") as well as partiallyin collaboration with the Prof. Dr. Pablo Lanillos Pradas, part of the Artificial Cognitive Systems group at the Donders Institute, Radboud University, Nijmegen, invites applications for *two* open *PhD position (m/f/d; E13 TV-L, 65%, 3 years)* on the study and modeling of both *compositional reasoning* and the emergence of *event-predictive agency* in robots. Humans are able to re-instantiate previously learned structures and generalize them to novel contexts in meaningful, goal-directed manners. Our aim is to build computational (particularly Bayesian and artificial neural network) models that capture the human ability to (i) acquire compositional structures from experience and (ii) apply these structures to novel situations in a one-shot, or few-shot, goal-directed manner. Potential topics include: * The role of inductive biases in inferring hidden conceptual structure from few examples; * Adapting behavior context-dependently and in an anticipatory manner through event-predictive cognition; * Inferring causal structures and agency-induced forces via active, epistemic interactions with ? and observations of ? the environment; * Inferring goals of other agents, including apparent subgoals as well as potential intentions; *About the position:* The candidate should hold a MSc degree in cognitive science, computer science, psychology, computational neuroscience, statistics, or a related discipline. Sufficient experience in computer programming is mandatory (ideally Python and Pytorch, but also other programming languages such as Java, C++, R, TensorFlow, are a good start). The ideal candidate should be interested and eager to invest their time into unraveling cognition, how the mind works, and how AI may be developed towards supporting environmental, social, and cultural sustainability. Note: the position in collaboration with Charley Wu has also been posted separately. *What we offer:* The position is funded either via the Cluster of Excellence ?Machine Learning: New Perspectives for Science ? or a DFG project (German research foundation) on the Emergence of Event-Predictive Agency in Robots. The position will be embedded in the T?bingen AI Center , the Cognitive Science program and the Cognitive Science Center at the University of T?bingen. The candidate will be given the opportunity to apply to join the International Max Planck Research School (IMPRS) for Intelligent Systems (IS) . Further interactions with experts from the MPI Biological Cybernetics and MPI Intelligence Systems will be encouraged and initiated. Moreover, the DFG-funded project will also interact directly with the Donders Institute at Radboud University , Nijmegen, The Netherlands. *About T?bingen:* Tu?bingen is a scenic university town on the Neckar river in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse, inclusive, and international. Nearly everybody speaks English. Tu?bingen offers excellent research opportunities due to the University, three Max Planck institutes, the University Hospital, and Europe?s largest AI research consortium. You can find out more about Tu?bingen here: https://www.tuebingen.de/en/ *How to apply: * Please send a cover letter, a research statement describing your relevant interests (max 1 page), your CV, the names and email addresses of 2-3 referees, and unofficial copies of your University degrees /as a single PDF/ to Martin Butz (martin.butz at uni-tuebingen.de). Please explicitly indicate your prior experience with conducting experiments, computational modeling, machine learning, and/or neuroimaging (EEG/fMRI). Skills and experience in computer programming languages (e.g., Python, R, Matlab, Javascript, Java, etc.), possibly publically available code examples (e.g., github, OSF, etc?), writing (in English), and the ability to independently manage a project (of any type) should also be mentioned. We are committed to increase diversity in our groups ? thus, minority groups and female candidates are particularly encouraged to apply. Equally qualified applicants with disabilities will be given preference. The employment will be carried out by the central administration of the University of T?bingen. Please submit your application by *August 15^th , 2022*. -- Prof. Dr. Martin V. Butz Computer Science, Cognitive Modeling Office: Raum S411 - H?lderlinstr. 12 -- Eberhard Karls Universit?t T?bingen Mail: Sand 14 ? 72076 T?bingen ? Germany Phone +49 7071 29-70429 ? Fax +49 7071 29-5719 martin.butz at uni-tuebingen.de http://cm.inf.uni-tuebingen.de/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_signature Type: application/pgp-signature Size: 665 bytes Desc: OpenPGP digital signature URL: From davidjrohde at gmail.com Wed Aug 3 14:06:19 2022 From: davidjrohde at gmail.com (david rohde) Date: Wed, 3 Aug 2022 20:06:19 +0200 Subject: Connectionists: Announcing the 3rd edition of "I can't believe it is not better" workshop at NeurIPS 2022 Message-ID: Do you have results that you can't believe are not better? Well, we are sorry - but sometimes we can learn more from surprising negative results. Announcing the 3rd edition of "I can't believe it is not better" workshop at NeurIPS 2022. This time focusing on "Understanding Deep Learning Through Empirical Falsification". https://sites.google.com/view/icbinb-2022/home We solicit contributions which explicitly formulate a hypothesis related to deep learning or its applications (based on first principles or prior work), and then empirically falsify it through experiments. We further encourage submissions to go a layer deeper and investigate the causes of an initial idea not working as expected. This workshop will showcase how negative results offer important learning opportunities for deep learning researchers, possibly far greater than the incremental improvements found in conventional machine learning papers! Paper Submission Deadline - Sep 22, 2022 Paper Acceptance Notification - Oct 20, 2022 In-Person Workshop - December 3, 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marco.miozzo at cttc.cat Thu Aug 4 04:17:12 2022 From: marco.miozzo at cttc.cat (Marco Miozzo) Date: Thu, 4 Aug 2022 10:17:12 +0200 Subject: Connectionists: 1 post-doc position @CTTC Sustainable Artificial Intelligence Research Unit Message-ID: Dear all, we have opened a post-doc position in our Sustainable Artificial Intelligence RU at CTTC to work with us on distributed and energy-aware #machinelearning methods for sustainable #edgecomputing platforms. This activity is in collaboration with international institutions in EU, UK and US. *_ _* *_What do we offer?_* * We offer a temporal position (24 months). * We have great benefits for employees: conciliation measures (33 business days of vacation, teleworking plan, flexible hours); We complement leaves for temporary disability, tax-free benefits (restaurant ticket, childcare center, commute and medical insurance), continuous training. * Annual gross salary according to the profile of the candidate * Full-time contract: 7,5 h/day. Flexibility * CTTC category: R2A, R2B, R2C ? depending on the experience of the candidate (More information: https://www.cttc.cat/wp-content/uploads/2022/02/CTTC-Professional-categories.pdf) * Start date: October 2022 (tentative) *_Qualifications and Experience_* We are looking for a highly motivated, enthusiastic, energetic person, aiming at significantly improving his or her career perspectives in both public and private sectors. The researcher will be joining the research activities of the SAI RU and working on the design and development of distributed and energy-aware machine learning methods for sustainable edge computing platforms. The successful applicant should have the competences of R2 category, and in particular: * *Required qualifications/skills/experience:* o PhD in Computer Science, Data Science, Telecommunications or closely related fields (at the time of signing the contract). o Knowledge of Machine Learning (ML) models applied to different tasks such as prediction, classification, anomaly detection and automatic control. o Knowledge of data mining and software libraries (e.g., python) for ML implementations. o Good publication record in scientific peer-reviewed journals and conferences. * *Other skills that are valuable, but not mandatory are:* o Outstanding English level. o Knowledge of Internet of Things, WLANs and mobile networking. o Knowledge of optimization theory *_How to apply?_* All applications must include: 1. A complete CV, including a list of publications and the contact details of two potential referees. 2. PhD degree. 3. Cover letter stating the motivation and suitability of the candidate. The application documents must be submitted in pdf format through this online application. *ONLY APPLICATIONS VIA WEB https://www.cttc.cat/talent/careers/job-openings/ WILL BE TAKEN INTO CONSIDERATION.* CVs and any other information gathered during this process will be handled confidentially More information on the research unit: https://www.cttc.cat/sustainable-artificial-intelligence-sai/ and https://supercom.cttc.es/ All the info to apply at the following link: https://www.cttc.cat/job/call-41-2022-1/ Best, Marco Miozzo. ** -- *Marco Miozzo* Senior Researcher Sustainable Artificial Intelligence (SAI) Research Unit marco.miozzo at cttc.es Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss, 7 - Building B4 08860 - Castelldefels Tel.: +34 93 645 29 00 _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. L'informem que les seves dades identificatives i les compreses als correus electr?nics i fitxers adjunts poden ser incorporades a les nostres bases de dades amb la finalitat de mantenir relacions professionals i/o comercials i, que seran conservades mentre es mantingui aquesta relaci?. Si ho desitja, pot exercir el seu dret d'acc?s, rectificaci?, supressi?, limitaci? del tractament, portabilitat i objecci? enviant un correu electr?nic a dpo at cttc.cat. Aquest missatge i qualsevol document adjunt, en el seu cas, pot ser confidencial i destinat ?nicament a la persona o entitat a qui s'hagi enviat. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From salvador.limalopez at gmail.com Thu Aug 4 06:19:28 2022 From: salvador.limalopez at gmail.com (Salvador Lima) Date: Thu, 4 Aug 2022 12:19:28 +0200 Subject: Connectionists: Important UPDATES/EXTENSION: ClinSpEn medical machine translation sub-track (Biomedical WMT Task, EMNLP 2022) Message-ID: Important UPDATES/EXTENSION: ClinSpEn sub-track (Biomedical WMT Task, EMNLP 2022) Machine Translation of Clinical cases, ontologies & medical entities: Spanish - English https://temu.bsc.es/clinspen/ Evaluation period extension, test and background data available on Zenodo and CodaLab submission available. The ClinSpEn track of the Biomedical WMT 2022 shared task tries to address a pressing need and emerging research topic related to the development and exploitation of multilingual clinical NLP and text mining applications. Recent advances in neural machine translation approaches (MT) adapted to specific domains and text genres have resulted in promising results that facilitate processing of healthcare and clinical data beyond language silos. The ClinSpEn sub-track tries to promote the use of advanced machine translation technologies applied to three high impact healthcare application scenarios: (1) automatic translation of clinical case documents of importance to examine how MT could be further applied to cope with clinical records (2) automatic translation of clinical terms and entity mentions extracted directly from medical records and literature to improve multilingual semantic annotation technologies (3) automatic translation of ontologies and controlled vocabulary concepts of uttermost importance for multilingual data and concept normalization These three scenarios will be addressed by three specific benchmark data collections used for evaluation purposes by the ClinSpEn biomedical WMT track: ClinSpEn-CC (Clinical Cases): EN>ES translation of clinical case documents. ClinSpEn-CT (Clinical Terms): ES>EN translation of clinical terms and entity mentions extracted from records and literature. ClinSpEn-OC (Ontology Concepts): EN>ES translation of highly used open clinical controlled vocabularies and ontology concepts. Important links: - ClinSpEn web: https://temu.bsc.es/clinspen/ - Biomedical WMT web: https://statmt.org/wmt22/biomedical-translation-task.html - WMT2022: https://statmt.org/wmt22/ - EMNLP conference: https://2022.emnlp.org/ - Data (NEW!): - Clinical Cases: https://doi.org/10.5281/zenodo.6497350 - Clinical Terms: https://doi.org/10.5281/zenodo.6497372 - Ontology Concepts: https://doi.org/10.5281/zenodo.6497388 - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/6696 - Team Registration (mandatory): https://temu.bsc.es/clinspen/registration/ For the ClinSpEn track Gold Standard manual translations generated by professional medical translators have been generated to evaluate participating teams. The primary evaluation metric to be used for this track will be SacreBLEU. Participants will also have access to a larger background collection to promote scalability and robustness assessment of machine translation technology. Updated schedule: - Participant Predictions Due: August 30th, 2022 (UPDATED EXTENSION!) - Paper Submission: September 7th, 2022 - Acceptance notification: October 9th, 2022 - Camera-ready version: October 16th, 2022 - WMT workshop at EMNLP: December 7th and 8th, 2022 Publications and workshop Participating teams will be invited to contribute a systems description paper for the WMT 2022 Working Notes proceedings. This workshop will be part of the prestigious EMNLP 2022 conference. More information on the paper?s specifications, formatting guidelines and review process at: https://statmt.org/wmt22/index.html. ClinSpEn Track Organizers - Salvador Lima-L?pez (BSC) - Darryl Johan Estrada (BSC) - Eul?lia Farr?-Maduell (BSC) - Martin Krallinger (BSC) Biomedical WMT Organizers - Rachel Bawden (University of Edinburgh, UK) - Giorgio Maria Di Nunzio (University of Padua, Italy) - Darryl Johan Estrada (Barcelona Supercomputing Center, Spain) - Eul?lia Farr?-Maduell (Barcelona Supercomputing Center, Spain) - Cristian Grozea (Fraunhofer Institute, Germany) - Antonio Jimeno Yepes (University of Melbourne, Australia) - Salvador Lima-L?pez (Barcelona Supercomputing Center, Spain) - Martin Krallinger (Barcelona Supercomputing Center, Spain) - Aur?lie N?v?ol (Universit? Paris Saclay, CNRS, LISN, France) - Mariana Neves (German Federal Institute for Risk Assessment, Germany) - Roland Roller (DFKI, Germany) - Amy Siu (Beuth University of Applied Sciences, Germany) - Philippe Thomas (DFKI, Germany) - Federica Vezzani (University of Padua, Italy) - Maika Vicente Navarro, Maika Spanish Translator, Melbourne, Australia - Dina Wiemann (Novartis, Switzerland) - Lana Yeganova (NCBI/NLM/NIH, USA) -- Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - Text Mining, BSC-CNS Barcelona, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Wed Aug 3 20:01:10 2022 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Thu, 4 Aug 2022 01:01:10 +0100 Subject: Connectionists: The first CfP Evostar 2023 - The Leading European Event on Bio-Inspired Computation - 12-14 April 2023 Message-ID: Dear Colleague(s), Below you will find the first call for papers for EvoStar 2023. Feel free to distribute and thank you for your time. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2023 conference http://www.evostar.org/2023/ Submission Deadline: November 1, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic News: ** EvoApps Special Sessions: EvoApplications, invites you to submit a special session proposal to be part of its 26th edition. Deadline: 9 September 2022 AoE. https://www.evostar.org/2023/evoapps/ ** Topical Issue - Evolutionary Computation and Applications Authors of selected papers have been invited to submit extended versions of their paper to the Scopus-indexed SN Computer Science journal. The Topical Issue is entitled Evolutionary Computation and Applications. The submission deadline is 2 September 2022. ** EvoStar 2022 LBAs published You can find the late-breaking abstract at: https://arxiv.org/abs/2208.00555 Please distribute (Apologies for cross-posting) ------------------------------------------------ EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - EuroGP 26th European Conference on Genetic Programming http://www.evostar.org/2023/eurogp/ - EvoApplications 26th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2023/evoapps/ - EvoCOP 23rd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2023/evocop/ - EvoMUSART 12th International Conference (and 17th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2023/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 1, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please check the website for more information: http://www.evostar.org/2023/ And follow us at: Facebook - https://www.facebook.com/evostarconf/ Twitter - https://twitter.com/EvostarConf/ Instagram - https://www.instagram.com/evostarconference/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From er.anubajaj at gmail.com Thu Aug 4 10:43:33 2022 From: er.anubajaj at gmail.com (Anu Bajaj) Date: Thu, 4 Aug 2022 07:43:33 -0700 Subject: Connectionists: 2nd CFP: 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'22) - Online - Springer Publication Message-ID: ** Second Call for Papers - please circulate this CFP to your colleagues and networks ** -- The 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'22) -- http://www.mirlabs.net/ibica22 http://www.mirlabs.org/ibica22 On the World Wide Web December 15-17,2022 Proceedings of IBICA'22 will be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. ( https://www.springer.com/series/15179) (Approval Pending) Proceedings of IBICA'21: https://link.springer.com/book/10.1007/978-3-030-96299-9 Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI Compendex, Japanese Science and Technology Agency (JST), SpringerLink History of IBICA series: http://www.mirlabs.net/ibica22/previous.php **Important Dates** --------------------- Paper submission due: September 30, 2022 Notification of paper acceptance: October 31, 2022 Registration and Final manuscript due: November 15, 2022 Conference: December 15-17, 2022 **About IBICA 2022** ------------------ IBICA'22 is the 13th International Conference on Innovations in Bio-Inspired Computing and Applications. The aim of IBICA is to provide a platform for world research leaders and practitioners, to discuss the ?full spectrum? of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing is currently one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex real life problems. The main driving force of the conference is to further explore the intriguing potential of Bio-inspired Computing. IBICA 2022 will be held online. **Topics (not limited to)** --------------------------- Bio-inspired Computing Ant Colony System Artificial Immune Systems Artificial Intelligence Artificial Neural Networks Cellular Automaton Cognitive Modeling DNA Computing Differential Evolution Emergent Systems Evolutionary Computations Evolutionary Strategies/Programming Fuzzy Logic Genetic Algorithms/Programming Granular Computing Neutrosophic Systems Organic Computing P Systems Particle Swarm Optimization Emerging Technologies & Applications Intelligent Distributed and High-Perfomance Architecture **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324 IBICA?22 Submission Link: https://easychair.org/conferences/?conf=ibica2022 **Plenary Talks** ---------------------------------------- You are welcome to attend 11 Keynote Talks offered by world-renowned professors and industry leaders. The detailed information is available on conference website. Speaker 1: Catarina Silva, University of Coimbra, Portugal Title: Interpretability and Explainability in Intelligent Systems Speaker 2: Chuan-Kang Ting, National Tsing Hua University, Taiwan Title: TBA Speaker 3: Joanna Kolodziej, Cracow University of Technology, Poland Title: TBA Speaker 4: Kaisa Miettinen, Multiobjective Optimization Group, Faculty of Information Technology, University of Jyvaskyla, Finland Title: Some Perspectives to Interactive Evolutionary Multiobjective Optimization Methods. Speaker 5: Kaspar Riesen, Institute of Computer Science, University of Bern, Switzerland University of Applied Sciences and Arts, Switzerland Title: Four Decades of Structural Pattern Recognition ? An Overview of the Three Major Epochs Speaker 6: Katherine MALAN, Department of Decision Sciences, University of South Africa Title: Landscape analysis of optimisation and machine learning search spaces. Speaker 7: Maki Sakamoto, The University of Electro-Communications, Tokyo, Japan Title: Computer Vision for Expressing Texture Using Sound-Symbolic Words Speaker 8: M?rio Antunes, Polytechnic Institute of Leiria, Portugal Title: Cybersecurity: the road ahead Speaker 9: Patricia MELIN, Tijuana Institute of Technology, Tijuana, Mexico Title: Hybrid Intelligent Systems based on Neural Networks, Fuzzy Logic and Bioinspired Optimization Algorithms and their application to Pattern Recognition. Speaker 10: Ren? NATOWICZ, ESIEE-Paris - Universit? Gustave Eiffel, France Title: Machine Learning in Graphs: Where Are We So Far? Speaker 11: Yifei Pu, College of Computer Science, Sichuan University, China Title : Analog Circuit Implementation of Fractional-Order Memristor: Arbitrary-Order Lattice Scaling Fracmemristor. ** IBICA 2022 Organization ** ----------------------------- General Chairs Ajith Abraham, Machine Intelligence Research Labs, USA Ana Maria Madureira, Institute of Engineering, Polytechnique of Porto, Portugal Cengiz Kahraman, Istanbul Technical University, Turkey Oscar Castillo, Tijuana Institute of Technology, Mexico Program Chairs Nuno Bettencourt, Institute of Engineering, Polytechnique of Porto, Portugal Selcuk Cebi, Yildiz Technical University, Turkey Agostino Forestiero, National Research Council of Italy, Italy Publication Chairs Niketa Gandhi, Machine Intelligence Research Labs, USA Kun Ma, University of Jinan, China Special Session Chairs Gabriella Casalino, University of Bari, Italy Andr? Santos, Institute of Engineering, Polytechnique of Porto, Portugal Publicity Chairs Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India Anu Bajaj, Machine Intelligence Research Labs, USA Ivo Pereira, University Fernando Pessoa, Portugal If you would like to propose a special session, please email Dr. Gabriella Casalino / Dr. Andr? Santos (abg at isep.ipp.pt ) **Technical Contact** -------------------- Dr. Ajith Abraham Email: ajith.abraham at ieee.org *|To|* Best Regards Anu Bajaj, PhD (Computer Science and Engineering) Publicity Chair-MIR Labs Annual Conferences-2022 Google Scholar | LinkedIn | ResearchGate | Scopus | ORCiD | Publons -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Thu Aug 4 10:25:23 2022 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 4 Aug 2022 16:25:23 +0200 Subject: Connectionists: CFP - IET Image Processing special issue on "Advancements in Fine Art Pattern Extraction and Recognition" [deadline 28 November 2022] Message-ID: apologies for multiple posting, please distribute among interested parties _________________ *Call for Papers* _______ *Special Issue of IET Image Processing on* __________ *ADVANCEMENTS in FINE ART PATTERN EXTRACTION and RECOGNITION* ___________ Aim & Scope Cultural heritage, especially fine arts, plays an invaluable role in the cultural, historical and economic growth of our societies. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to an increasing availability of large digitized fine art collections. This availability, coupled with recent advances in pattern recognition and computer vision, has disclosed new opportunities, especially for researchers in these fields, to assist the art community with automatic tools to further analyze and understand fine arts. Among 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. This special issue aims to offer 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 a better understanding and fruition of fine arts, soliciting contributions from pattern recognition, computer vision, artificial intelligence and image processing research areas. The special issue will be linked to the 2nd International Workshop on Fine Art Pattern Extraction and Recognition (FAPER2022). Authors of selected conference papers will be invited to extend and improve their contributions for this special issue, and authors are also invited to submit new contributions (non-conference papers). _______________________________________ Topics include, but are not limited to: - Applications of machine learning and deep learning to cultural heritage and digital humanities - Computer vision and multimedia data processing for fine arts - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Point cloud segmentation and classification for cultural heritage - Historical document analysis - Content-based retrieval in visual art domain - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Project, products or prototypes for cultural heritage _______________________________________ *Submission Deadline*: 28 November 2022 Submissions must be made through ScholarOne: https://mc.manuscriptcentral.com/theiet-ipr see the PDF call for paper for more information: https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf ___________ Open Access From January 2021, The IET began an Open Access publishing partnership with Wiley. As a result, all submissions that are accepted for this Special Issue will be published under the Gold Open Access Model and subject to the Article Processing Charge (APC) of $2,300. APC can be covered in *FULL* or part by your institution! *CHECK? YOUR? ELIGIBILITY? HERE* https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html _______________ Editor-in-Chief Prof. Farzin Deravi, University of Kent, UK _____________ Guest Editors Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy Sinem Aslan, Universit? Ca' Forscari Venezia, Italy From david at irdta.eu Sat Aug 6 04:36:23 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 6 Aug 2022 10:36:23 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Winter: early registration August 29 Message-ID: <492921038.326840.1659774983310@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: August 29, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Winter will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Winter is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] Statistical Relational and Neurosymbolic AI Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by January 8, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Sat Aug 6 14:55:33 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Sat, 6 Aug 2022 13:55:33 -0500 Subject: Connectionists: [CFP Extended Sept 03] CAIS Automated and Intelligent Systems, Oct 3-6, Hybrid, USA Message-ID: [Due to numerous requests (Heatwave, Summer Break, Pandemic, Start of Semester), the paper submission deadline is extended to Sept 03] --- Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Automated and Intelligent Systems (CAIS) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/CAIS002 OkIP Published & SCOPUS/WoS Indexed Submission Deadline Extended: September 03, 2022 Extended versions of the best papers will be considered for journal publication. *** Contribution Types (One-Column IEEE Format Style): - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) *** Areas - AI, Machine Learning (ML), and Applications - Agent-based, Automated, and Distributed Supports - Intelligent Systems and Applications - Knowledge-based and Control Supports - Robotics and Vehicles >> Technical Program Committee https://eventutor.com/event/19/page/56-committee Please feel free to contact us for any inquiries at: info at okipublishing.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From martin.butz at uni-tuebingen.de Mon Aug 8 08:18:39 2022 From: martin.butz at uni-tuebingen.de (Martin Butz) Date: Mon, 8 Aug 2022 14:18:39 +0200 Subject: Connectionists: =?utf-8?q?2_PhD_Positions_=40_T=C3=BCbingen_Unive?= =?utf-8?q?rsity_-_T=C3=BCbingen_AI_Center_-_ML_Cluster_of_Excellence?= In-Reply-To: <296c8d95-0732-6fcc-7f30-03d041a8f5c5@uni-tuebingen.de> References: <296c8d95-0732-6fcc-7f30-03d041a8f5c5@uni-tuebingen.de> Message-ID: The ?Neuro-Cognitive Modeling ? Group led by Prof. Dr. Martin Butz at the University of T?bingen, Germany, partially in collaboration with the ?Human and Machine Cognition ? lab led by Dr. Charley M. Wu (University of T?bingen, Cluster of Excellence "Machine Learning") as well as partiallyin collaboration with the Prof. Dr. Pablo Lanillos Pradas, part of the Artificial Cognitive Systems group at the Donders Institute, Radboud University, Nijmegen, invites applications for *two* open *PhD position (m/f/d; E13 TV-L, 65%, 3 years)* on the study and modeling of both *compositional reasoning* and the emergence of *event-predictive agency* in robots. Humans are able to re-instantiate previously learned structures and generalize them to novel contexts in meaningful, goal-directed manners. Our aim is to build computational (particularly Bayesian and artificial neural network) models that capture the human ability to (i) acquire compositional structures from experience and (ii) apply these structures to novel situations in a one-shot, or few-shot, goal-directed manner. Potential topics include: * The role of inductive biases in inferring hidden conceptual structure from few examples; * Adapting behavior context-dependently and in an anticipatory manner through event-predictive cognition; * Inferring causal structures and agency-induced forces via active, epistemic interactions with ? and observations of ? the environment; * Inferring goals of other agents, including apparent subgoals as well as potential intentions; *About the position:* The candidate should hold a MSc degree in cognitive science, computer science, psychology, computational neuroscience, statistics, or a related discipline. Sufficient experience in computer programming is mandatory (ideally Python and Pytorch, but also other programming languages such as Java, C++, R, TensorFlow, are a good start). The ideal candidate should be interested and eager to invest their time into unraveling cognition, how the mind works, and how AI may be developed towards supporting environmental, social, and cultural sustainability. Note: the position in collaboration with Charley Wu has also been posted separately. *What we offer:* The position is funded either via the Cluster of Excellence ?Machine Learning: New Perspectives for Science ? or a DFG project (German research foundation) on the Emergence of Event-Predictive Agency in Robots. The position will be embedded in the T?bingen AI Center , the Cognitive Science program and the Cognitive Science Center at the University of T?bingen. The candidate will be given the opportunity to apply to join the International Max Planck Research School (IMPRS) for Intelligent Systems (IS) . Further interactions with experts from the MPI Biological Cybernetics and MPI Intelligence Systems will be encouraged and initiated. Moreover, the DFG-funded project will also interact directly with the Donders Institute at Radboud University , Nijmegen, The Netherlands. *About T?bingen:* Tu?bingen is a scenic university town on the Neckar river in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse, inclusive, and international. Nearly everybody speaks English. Tu?bingen offers excellent research opportunities due to the University, three Max Planck institutes, the University Hospital, and Europe?s largest AI research consortium. You can find out more about Tu?bingen here: https://www.tuebingen.de/en/ *How to apply: * Please send a cover letter, a research statement describing your relevant interests (max 1 page), your CV, the names and email addresses of 2-3 referees, and unofficial copies of your University degrees /as a single PDF/ to Martin Butz (martin.butz at uni-tuebingen.de). Please explicitly indicate your prior experience with conducting experiments, computational modeling, machine learning, and/or neuroimaging (EEG/fMRI). Skills and experience in computer programming languages (e.g., Python, R, Matlab, Javascript, Java, etc.), possibly publically available code examples (e.g., github, OSF, etc?), writing (in English), and the ability to independently manage a project (of any type) should also be mentioned. We are committed to increase diversity in our groups ? thus, minority groups and female candidates are particularly encouraged to apply. Equally qualified applicants with disabilities will be given preference. The employment will be carried out by the central administration of the University of T?bingen. Please submit your application by *August 15^th , 2022*. -- Prof. Dr. Martin V. Butz Computer Science, Cognitive Modeling Office: Raum S411 - H?lderlinstr. 12 -- Eberhard Karls Universit?t T?bingen Mail: Sand 14 ? 72076 T?bingen ? Germany Phone +49 7071 29-70429 ? Fax +49 7071 29-5719 martin.butz at uni-tuebingen.de http://cm.inf.uni-tuebingen.de/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_signature Type: application/pgp-signature Size: 665 bytes Desc: OpenPGP digital signature URL: From ahmetoglu.alper at gmail.com Mon Aug 8 10:05:12 2022 From: ahmetoglu.alper at gmail.com (Alper Ahmetoglu) Date: Mon, 8 Aug 2022 17:05:12 +0300 Subject: Connectionists: CFP: IROS 2022 Workshop on Life-long Learning of High-level Cognitive and Reasoning Skills Message-ID: <0864BF4E-D171-497B-A152-1507772B4910@gmail.com> Call for Papers: IROS 2022 Workshop on Life-long Learning of High-level Cognitive and Reasoning Skills -------------------------------------------------- A Full-day Hybrid Event October 23, 2022 https://lifelongrobotics.github.io Important dates - Early Paper Submission Deadline (for early registration): Aug 19, 2022 - Early Acceptance Notification (for early registration): Aug 22, 2022 - Paper Submission Deadline: Aug 29, 2022 - Acceptance Notification: Sep 2, 2022 - Workshop date: Oct 23, 2022 Invited Speakers: - Eric Eaton, University of Pennsylvania - George Konidaris, Brown University - Jeff Clune, OpenAI, University of British Columbia - Jun Tani, Okinawa Institute of Science and Technology - Minoru Asada, Osaka University - Stefanie Tellex, Brown University - Tamim Asfour, Karlsruhe Institute of Technology - Yukie Nagai, University of Tokyo Summary: This workshop will focus on how to create open-ended or life-long learning systems that will allow for a robot to autonomously explore its environment and learn ever-growing representations for perception and actuation. This is an underexplored area in robotics and artificial intelligence research that can contribute to the development of generally capable agents. We will discuss the necessary elements (e.g., methods, environments, datasets, embodiments) for a life-long learning setting. We will encourage participants to take part in discussions with the following points: - How to adopt the current open-ended methods for life-long robot learning - Are the current machine learning methods sufficient for life-long learning? - How to combine the current toolset of ML for life-long learning - How to design end-to-end systems for life-long learning - What are the necessary components for a life-long learning system? Which parts should we take for granted? - How to design appropriate environments both in simulation and real-world that support life-long learning Submissions: We accept regular papers (up to 8 pages of unpublished work) and extended abstracts (up to 4 pages of novel work or from a recently published paper) in standard IEEE format, excluding unlimited pages for references. The review process will be single-blind. 10 minutes will be allocated for each regular paper, and 2 minutes for each extended abstract. Papers will be submitted through CMT (https://cmt3.research.microsoft.com/LLR2022). The topics that are indicative but by no means exhaustive are as follows: - Open-ended learning, life-long learning - Continual learning, transfer learning, catastrophic forgetting - Multi-task learning, meta-learning - Modularity - Computational approaches to the study of development and learning - Machine learning techniques for robot learning and development - Cognitive and perceptual development - Concept formation and symbol grounding - Imitation learning - Embodied cognition - Affordance learning - Interactive learning - Exploration and learning in animals and robots - Curiosity and intrinsic motivation - Skill and language acquisition - Human assisted learning and scaffolding - Human-robot interaction Organizing Committee: Alper Ahmetoglu (contact person), Bogazici University (Turkey), ahmetoglu.alper at gmail.com M. Tuluhan Akbulut (contact person), Brown University, USA, tuluhan_akbulut at brown.edu Erhan Oztop, Ozyegin University / Osaka University (Turkey/Japan) Justus Piater, University of Innsbruck, (Austria) Tadahiro Taniguchi, Ritsumeikan University, (Japan) Emre Ugur, Bogazici University, (Turkey) From j.w.vandemeent at uva.nl Tue Aug 9 06:40:37 2022 From: j.w.vandemeent at uva.nl (Jan-Willem van de Meent) Date: Tue, 9 Aug 2022 10:40:37 +0000 Subject: Connectionists: CFP: 26th International Conference on Artificial Intelligence and Statistics (AISTATS) Message-ID: We invite submissions to the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), and welcome paper submissions on artificial intelligence, machine learning, statistics, and related areas. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. The conference is committed to diversity in all its forms, and encourages submissions from authors of underrepresented groups and geographies in ML/AI. # Key dates - Abstract submission deadline: 6 October 2022 (Anywhere on Earth) - Paper submission deadline: 13 October 2022 (Anywhere on Earth) - Reviews released to authors: Monday, November 21, 2022 - Paper decision notifications: Thursday, January 19, 2023 # Websites - Conference site: https://aistats.org/aistats2023/ - Submission site: https://cmt3.research.microsoft.com/AISTATS2023 # Paper Submission (Proceedings Track) The proceedings track is the standard AISTATS paper submission track. Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. Solicited topics include, but are not limited to: - Machine learning methods and algorithms (classification, regression, unsupervised and semi-supervised learning, clustering, logic programming, ?) - Probabilistic methods (Bayesian methods, approximate inference, density estimation, tractable probabilistic models, probabilistic programming, ?) - Theory of machine learning and statistics (optimization, computational learning theory, decision theory and bandits, game theory, frequentist statistics, information theory, ?) - Deep learning (theory, architectures, reinforcement learning, generative models, optimization for neural networks, ?) - Ethical and trustworthy machine learning (causality, fairness, interpretability, privacy, robustness, safety, ?) - Applications of machine learning and statistics (including natural language, signal processing, computer vision, physical sciences, social sciences, sustainability and climate, healthcare, ?) # Conference Location and Format The AISTATS 2023 organizing committee is committed to the safety and health of our community. We are currently reviewing the best option for AISTATS 2023 (either physical, virtual conference, or hybrid). In the event of a physical or hybrid conference, in-person activities will be located in the United States. As soon as we have made a final decision, we will update the information to the webpage. Thank you for your patience and understanding. # Formatting and Supplementary Material Submissions are limited to 8 pages excluding references using the LaTeX style file we provide below (the page limit will be 9 for camera-ready submissions). The number of pages containing citations alone is not limited. You can also submit a single file of additional supplementary material which may be either a pdf file (such as proof details) or a zip file for other formats/more files (such as code or videos). Note that reviewers are under no obligation to examine the supplementary material. If you have only one supplementary pdf file, please upload it as is; otherwise gather everything to the single zip file. Submissions will be through CMT (https://cmt3.research.microsoft.com/AISTATS2023/) and will be open approximately 4-6 weeks before the abstract submission deadline. Formatting information (including LaTeX style files) is available at http://aistats.org/aistats2023/AISTATS2023PaperPack.zip. We do not support submission in preparation systems other than LaTeX. Please do not modify the layout given by the style file. If you have questions about the style file or its usage, please contact the publications chair or the program chairs. #Reviewer Nomination For each submission, the authors will be requested to nominate at least one of the authors as a reviewer for AISTATS 2023. Nominated reviewers are expected to have sufficient expertise in the relevant field. Kindly understand that by a recent increase of submissions, we need more reviewers than previous years. # Anonymization Requirements The AISTATS review process is double-blind. All submissions must be anonymized and may not contain any information that can violate the double-blind reviewing policy, such as the author names or their affiliations, acknowledgements, or links that can infer any author?s identity or institution. Self-citations are allowed as long as anonymity is preserved. It is up to the author?s discretion how best to preserve anonymity when including self-citations. Possibilities include: leaving out a self-citation, including it but replacing the citation text with ?removed for anonymous submission,? or leaving the citation as-is. We recommend leaving in a moderate number of self-citations for published or otherwise well-known work. We strongly discourage advertising the preprint on social media or in the press while under submission to AISTATS. Preprints must not be explicitly identified as an AISTATS submission at any time during the review period (i.e., from the abstract submission deadline until the communication of the accept/reject decision). # Dual Submissions Submitted manuscripts should not have been previously published in a journal or in the proceedings of a conference, and should not be under consideration for publication at another conference at any point during the AISTATS review process. Submissions as extended abstracts (4 pages or less), to workshops or non-archival venues (without a proceedings), or to arXiv, will not be considered a concurrent submission. It is acceptable to have a substantially extended version of the submitted paper under consideration simultaneously for journal publication, so long as the journal version?s planned publication date is in May 2023 or later and the journal submission does not interfere with AISTATS right to publish the paper. Authors are also allowed to give talks to restricted audiences on the work(s) submitted to AISTATS during the review. Reviewers will be instructed that tech reports (including reports on sites such as arXiv) and papers in workshops without archival proceedings do not count as prior publication. All accepted papers will be presented at the Conference either as contributed talks or as posters, and will be published in the AISTATS Conference Proceedings in the Journal of Machine Learning Research Workshop and Conference Proceedings series. Papers for talks and posters will be treated equally in publication. # Confidentiality The reviewers and area-chairs of your paper will have access to your paper and supplementary material. In addition, the program chairs and workflow chairs will have access to all the papers. Everyone having access to papers and supplementary materials will be instructed to keep them confidential during the review process and delete them after the final decisions. Reviews will be visible to area chairs, program chairs, and workflow chairs throughout the process. Reviewers will get access to other reviews for a paper after they have submitted their own review. Author names will be visible to area chairs and program chairs. Reviewers will not know the author names at any stage of the process. Reviewer names are visible to the area chair and to the other reviewers of each paper (as well as to program chairs). Jennifer Dy and Jan-Willem van de Meent AISTATS 2023 Program Chairs Francisco Ruiz AISTATS 2023 General Chair From sayan.mukherjee at mis.mpg.de Tue Aug 9 05:23:24 2022 From: sayan.mukherjee at mis.mpg.de (sayan.mukherjee at mis.mpg.de) Date: Tue, 9 Aug 2022 11:23:24 +0200 (CEST) Subject: Connectionists: junior group leader positions in Leipzig Message-ID: <1275280721.27680.1660037004178.JavaMail.zimbra@mis.mpg.de> There are junior group leader positions available at the Center for Scalable Data Analytics and Artificial Intelligence, one of five centers of excellence for IA in Germany. Consider the advertisement https://scads.ai/scads-ai-team/job-offers-for-leipzig/ Also feel free to contact me, Sayan Mukherjee, at sayan.mukherjee at mis.mps.de for more information. cheers, sayan -- Sayan Mukherjee Alexander von Humboldt Professor Universit?t Leipzig Center for Scalable Data Analytics and Artificial Intelligence Max Planck Institute for Mathematics in the Sciences he/him/his From d.mandic at imperial.ac.uk Tue Aug 9 07:57:06 2022 From: d.mandic at imperial.ac.uk (Danilo Mandic) Date: Tue, 9 Aug 2022 12:57:06 +0100 Subject: Connectionists: Conditions for convergence of RMSProp, even in non-convex settings Message-ID: Dear Connectionists, You may be interested in the following article which has just appeaared in Cognitive Neurodynamics. The analysis employs the Holder inequality to establish the hyperparameter range within RMSProp which guarantees its convergence even in non-convex setting. https://link.springer.com/article/10.1007/s11571-022-09845-8 A similar analysis for the Adam optimizer is underway. Regards, Danilo From suashdeb at gmail.com Mon Aug 8 23:28:22 2022 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 9 Aug 2022 08:58:22 +0530 Subject: Connectionists: Exactly 3 weeks left, ISCMI 2022 Message-ID: Dear friends and esteemed colleagues, Warmest greetings from India. This is a gentle reminder that exactly 3 weeks left for submission to come to an end for 2022 9th ISCMI http://iscmi.us/index.html The conference, as you know, will be held in virtual mode (due to current Covid and Monkeypox issues). In case you could not submit your own paper(s) till now, this is the final opportunity and I hope you will avail it. Will look forward to receiving your submission in the coming days and with kind rgds, Suash Deb General Chair, ISCMI 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Tue Aug 9 07:03:45 2022 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Tue, 9 Aug 2022 11:03:45 +0000 Subject: Connectionists: Final Call: ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School (24-28 October, 2022) Message-ID: The Organising Committee from Ulster University's Intelligent Systems Research Centre (ISRC) at Magee Campus in Derry~Londonderry is very pleased to announce that the international Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3) Autumn School will be held again this year. Supported by the International Brain Research Organisation (IBRO) and other sponsors, this year's Autumn School will run from the 24th October to 28th October, inclusively. The topics covered in the five-day ISRC-CN3 Autumn School include: * mathematical foundations in neuroscience * computational modelling of neural-glial systems, neuromodulators and cognition * neural data science * neurotechnology * neuromorphic computing and self-repaired intelligent machines * spiking neural networks and applications * cognitive robotics * ethics in neurotechnology and AI * entrepreneurship in neurotechnology and AI This ISRC-CN3 Autumn School is unique not only in the range and types of topics covered but it will also be delivered in an integrated way, from pedagogical to advanced levels. Registration is made highly affordable, and bursaries may be available. Academic researchers at the ISRC and invited external speakers will contribute to the delivery of this five-day School, which will consist of lectures and labs. Attendees will have the opportunity to present and share their research work on the final day, and awards will be given to the top presenters. For more information and application, please visit the websites at: * https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-environment/events/isrc-cn3-autumn-school * https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-environment/computing-engineering-intelligent-systems/isrc-cn3-autumn-school Application for the Autumn School is now opened and will close on the 1st September. For further information, queries, or sponsorship (and its benefits), please do not hesitate to contact me (k.wong-lin at ulster.ac.uk). Best, KongFatt Wong-Lin -------------------------- 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 constantin.rothkopf at cogsci.tu-darmstadt.de Wed Aug 10 09:33:52 2022 From: constantin.rothkopf at cogsci.tu-darmstadt.de (Constantin Rothkopf) Date: Wed, 10 Aug 2022 15:33:52 +0200 Subject: Connectionists: 2 postdoc + 3 PhD positions in Constantin Rothkopf's lab in ERC funded project ACTOR Message-ID: <7664e6db-8603-6e4a-716a-ad5ee8b991b9@cogsci.tu-darmstadt.de> Two postdoc and three PhD positions are available in the lab of Constantin Rothkopf at the Centre for Cognitive Science @ TU Darmstadt as part of the ERC project ACTOR. The goal of this project is to use both human behavioral experiments and computational modeling to understand human sequential behavior in tasks ranging from continuous psychophysics to navigation and food preparation in the framework of sequential decision making/planning/optimal control/RL. To get a better idea about this project, here some relevant work from our group: - Straub, D., & Rothkopf, C. A. (2021). Putting perception into action: Inverse optimal control for continuous psychophysics, in press eLife, bioRxiv. https://doi.org/10.1101/2021.12.23.473976 - Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse optimal control adapted to the noise characteristics of the human sensorimotor system. Advances in Neural Information Processing Systems, 34, 9429-9442. https://proceedings.neurips.cc/paper/2021/hash/4e55139e019a58e0084f194f758ffdea-Abstract.html - Neup?rtl, N., Tatai, F., & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects? masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS computational biology, 16(10), e1007730. https://doi.org/10.1371/journal.pcbi.1007730 - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 1-12. https://doi.org/10.1038/s41598-018-37536-0 - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. https://doi.org/10.1073/pnas.1601305113 Our group is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to a large group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia and engage in many fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to generous computing resources including HPC. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt just recently reached 7th place worldwide in a ranking by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. While some of the positions are geared towards more empirical work others are strongly focused on computational work. Applicants may therefore have a background in computer science, cognitive science, neuroscience, psychology, engineering, or related fields. Don?t hesitate to contact me for more details. We will be at CCN in case you want to chat about this opportunity. Please send a CV, a two page summary of your past research experience and current research interests, and contact information for 2-3 references in a single pdf file. The positions can be filled starting in October. Applications will be reviewed on a continuing basis. All the best, Constantin Rothkopf https://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ https://hessian.ai/ From ici2st at epn.edu.ec Wed Aug 10 00:24:40 2022 From: ici2st at epn.edu.ec (CONFERENCIA INTERNACIONAL ICI2ST) Date: Wed, 10 Aug 2022 04:24:40 +0000 Subject: Connectionists: CFP Deadline 15th August: Conference on Information Systems and Software Technologies Message-ID: Dear colleagues, *** CALL FOR PAPERS - ICI2ST 2022 - *** SECOND SUBMISSION CYCLE - SUBMISSION DEADLINE 15th August **** 3rd International Conference on Information Systems and Software Technologies November 8-10, 2022 VIRTUAL EVENT ============================================================== Conference website: https://ici2st.epn.edu.ec/index.php/en/ Submission link: https://easychair.org/conferences/?conf=ici2st2022 Extended submission deadline June 27th, 2022 ============================================================== The 3rd International Conference on Information Systems and Software Technologies (ICI2ST 2022) is organized by the Faculty of Systems Engineering of the National Polytechnic School of Ecuador. This year's event will be held on November 8-10, 2022. ICI2ST aims to bring together researchers, speakers and industry practitioners worldwide who are developing cutting-edge research related to all aspects of Information Systems, Software Technologies, and Applied Computing. LIST OF TOPICS: ============================================================== Paper submissions are invited for ICI2ST 2022 which include, but are not limited to the following topics: - Information Systems - Software Technologies - Security and Privacy - Technology Trends - Social and Professional Topics IMPORTANT DATES (Second submission cycle): ============================================================== - Paper Submission Deadline: August 15th, 2022 *firm deadline* - Paper Notification of Acceptance: August 31st, 2022 - Camera-Ready Deadline: September 7th, 2022 - Authors Registry Deadline: September 30th, 2022 - General Registry Deadline: October 31, 2022 - ICI2ST Conference: November 8-10, 2022 STEERING COMMITTEE: ============================================================== Gabriela Suntaxi, Escuela Polit?cnica Nacional, Ecuador Mar?a Hallo, Escuela Polit?cnica Nacional, Ecuador Vijay Varadharajan, University of Newcastle, Australia Sergio Luj?n Mora, Universidad de Alicante, Spain Yamine Ait-Ameur, ENSEEIHT, France SUBMISSION GUIDELINES: ============================================================== ICI2ST 2022 accepts submissions of original, unpublished full research papers and research-in-progress papers, both being of remarkable research quality. Authors can find the submission guidelines at: https://ici2st.epn.edu.ec/index.php/en/call-for-papers PUBLICATION OF PAPERS: ============================================================== Accepted papers will be sent for inclusion in IEEE Xplorer, CSDL (Computer Society Digital Library), and SCOPUS. An accepted paper must be presented at the conference by one registered author to be included in the proceedings. Past conference proceedings can be accessed via IEEE Xplorer Digital Library at: https://ieeexplore.ieee.org/xpl/conhome/9447318/proceeding CONTACT: ============================================================== Questions and inquiries should be sent to: ici2st at epn.edu.ec Best regards, ICI2ST-2022 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.stein at fz-juelich.de Wed Aug 10 08:44:10 2022 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Wed, 10 Aug 2022 14:44:10 +0200 Subject: Connectionists: Bernstein Conference: late registration until August 25, 2022 Message-ID: <7275d7b7-6adc-1bae-dd96-41754e472bb7@fz-juelich.de> Dear colleagues, the late registration for Bernstein Conference 2022 (Sept 13-16, 2022) ends on August 24, 2022. Bernstein members receive and additional discount. On-site registration remains possible at an increased fee. Register here: https://bernstein-network.de/bernstein-conference/registration/ Satellite Workshops take place on Sept 12 and 13, 2022, for details see https://bernstein-network.de/bernstein-conference/program/satellite-workshops/ The Main Conference will be from Septe 13 to 16, 2022, for details see https://bernstein-network.de/bernstein-conference/program/ The Phd Symposium is on Sept 16 and 17, 2022, for detail see https://bernstein-network.de/bernstein-conference/early-career-scientists/phd-symposium-2022/ Hoping to meet you there! -- Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. In 2022, the Bernstein Conference will take place as in-person meeting again in Berlin. Talks of the Main Conference are going to be livestreamed, given speakers consent. Find more information at https://bernstein-network.de/en/bernstein-conference/ ____ INVITED SPEAKERS Keynote Sonja Hofer (University College London, UK) Invited Talks Bing Brunton (University of Washington, USA) Christine Constantinople (New York University, USA) Carina Curto (Pennsylvania State University, USA) Liset M de la Prida (Instituto Cajal, Spain) Juan Alvaro Gallego (Imperial College London, UK) Mehrdad Jazayeri (Massachusetts Institute of Technology, USA) Gaby Maimon (The Rockefeller University, New York, USA) Andrew Saxe (University College London, UK) Henning Sprekeler (Technische Universit?t Berlin, Germany) Carsen Stringer (Janelia Research Campus, USA) ____ CONFERENCE COMMITTEE Raoul-Martin Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumatchenko (Program Vice Chair) Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) & Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O'Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany phone: +49 (0)761 203 9583 mobile: +49 (0)151 67114645 mail: a.stein at fz-juelich.de web: www.bernstein-network.de Twitter: BernsteinNeuro 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. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From julia.vogt at inf.ethz.ch Wed Aug 10 10:23:30 2022 From: julia.vogt at inf.ethz.ch (Vogt Julia) Date: Wed, 10 Aug 2022 14:23:30 +0000 Subject: Connectionists: Postdoctoral Researcher in Machine Learning with medical applications at ETH Zurich Message-ID: <0F828709-3B52-4B8C-8272-D5FD93118AED@inf.ethz.ch> The Medical Data Science Group at ETH Zurich, led by Julia Vogt, is looking for a highly motivated postdoctoral researcher with a strong machine learning background. Applicants should be interested in working in an interdisciplinary environment at the interface of Machine Learning, Medicine and Health Care. The postdoctoral researcher will interact and collaborate closely with both faculty and graduate students in our research group, as well as with interdisciplinary collaborators from the medical domain. He/she will work on foundational machine learning challenges and will lead projects. The postdoc will have the possibility to participate in basic, translational science that brings novel machine learning techniques into impactful biomedical applications. Machine learning topics of interest include, but are not limited to, interpretable and explainable models, probabilistic modeling, deep learning, time-series modelling, generative models, and integrating multi-modal data. Our group conducts research at the intersection of machine learning and healthcare, and our research topics are inspired by the challenges which arise by dealing with medical data. Qualifications: Interested postdoc applicants should have a Ph.D. degree in Computer Science, Bioinformatics, Mathematics, Statistics, or related fields, with a strong publication record in top conferences such as NeurIPS, ICML, ICLR, AISTATS, AAAI, KDD, JMLR, MICCAI, TMI, etc. Experience in working on medical or biological data is not required, but applicants must bring a keen interest in the problems of the field. Applications must be submitted through the ETH Job Portal (https://jobs.ethz.ch/job/view/JOPG_ethz_az8OpFBfOJ69g58bff) -------------- next part -------------- An HTML attachment was scrubbed... URL: From melaahi2 at gmail.com Wed Aug 10 06:23:12 2022 From: melaahi2 at gmail.com (M Elahi) Date: Wed, 10 Aug 2022 12:23:12 +0200 Subject: Connectionists: Open Position: PhD Candidate in User Modelling, Personalisation & Engagement Message-ID: ------ Apologies for cross-posting ------ There is a vacancy for a PhD position in Norway at MediaFutures: Research Centre for Responsible Media Technology & Innovation. The position is for a fixed-term period of 3 years. MediaFutures is a new centre for research-based innovation at the Department for information science and media studies, University of Bergen, and located at Media City Bergen. The centre is a part of the Norwegian Research Council?s Research-based Innovation scheme. MediaFutures is in cooperation with industry partners from news media and media technology research topics like media experiences, recommender technology, content production and analysis, content interaction and availability, and Norwegian language technology. Link to apply: https://www.jobbnorge.no/en/available-jobs/job/228463/phd-position-in-user-modelling-personalisation-engagement-at-mediafutures Deadline: *14th August 2022* -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Wed Aug 10 18:54:42 2022 From: max.garagnani at gmail.com (Max Garagnani) Date: Wed, 10 Aug 2022 22:54:42 +0000 Subject: Connectionists: P/T Associate Lecturer in Computational Neuroscience, Goldsmiths - University of London Message-ID: ******************************************************************* Job Opening in Computational Neuroscience @ Goldsmiths, University of London ******************************************************************* We have an open-ended part-time (0.10 FTE) Associate Lecturer position opening at the Department of Computing to teach the ?Cortical Modelling? course as part of the MSc Computational Cognitive Neuroscience (see https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience). Outstanding candidates in all areas of Computational Neuroscience will be considered. Starting date: SEPTEMBER 2022 or A.S.A.P. thereafter. CORTICAL MODELLING =================== This module provides a theoretical and practical introduction to computational neuroscience. As a core component of the MSc in Computational Cognitive Neuroscience, it covers the ?lower-level? aspects of brain modelling, focussing on single neurons and simple cortical circuits, including neurobiology of the neuron (basic synaptic mechanisms, channel conductance, membrane potential), generation and propagation of action potential, leaky integrate-and-fire neurons, feed-forward networks, and STDP. The course is delivered by means of ten theory lectures along with ten practical sessions (labs / workshops), each 2 hours long. The practical sessions typically involve implementing models of single neurons and small networks of neurons using MATLAB. NOTE: this is an open-ended position. The A.L. will work closely with the joint MSc programme director, Dr. Max Garagnani (https://www.gold.ac.uk/computing/people/garagnani-max/). ESSENTIAL REQUIREMENTS: ======================= - A PhD in Mathematics, Physics. Computer Science, Computational Neuroscience or related discipline. - Experience of teaching at MSc or undergraduate level - A track record of research publications in top conferences and journals - Good team-working skills - Excellent command of spoken and written English. To apply, please send a CV and cover letter to Dr. Max Garagnani, M.Garagnani at gold.ac.uk APPLICATION DEADLINE: 25 August 2022, 17:00 BST ========================================== --- Max Garagnani, Ph.D. (Cantab) Ph.D. (Durham) Laurea Senior Lecturer in Computer Science Joint Programme Leader, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW https://www.gold.ac.uk/computing/people/garagnani-max/ Visiting Researcher, Brain Language Lab Freie Universit?t Berlin Berlin, Germany http://www.geisteswissenschaften.fu-berlin.de/v/brainlang/Team/MGaragnani.html ******************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Thu Aug 11 07:10:41 2022 From: m.biehl at rug.nl (Michael Biehl) Date: Thu, 11 Aug 2022 13:10:41 +0200 Subject: Connectionists: 2 PhD positions at the University of Groningen Message-ID: Please excuse multiple postings Two fully funded PhD positions (4 years) are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S0009H4P All applications should be submitted through this website before September 30, 2022. One PhD (PP1) will address the study of "push-pull inhibition" in Deep Learning, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george). Candidates should have a strong background in brain inspired computing and deep learning. The second position (PP2) will be devoted to the statistical physics based analysis of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be fully funded (4 years) by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Fri Aug 12 04:00:04 2022 From: mm at di.ku.dk (Maria Maistro) Date: Fri, 12 Aug 2022 08:00:04 +0000 Subject: Connectionists: [CfP] TREC Health Misinformation Track 2022 Message-ID: <62E5EB58-00BB-4EF7-ADB4-1FBF52258B84@ku.dk> Call for Participation - TREC Health Misinformation Track 2022 https://trec-health-misinfo.github.io Overview ? -------------------------- Web search engines are frequently used to help people make decisions about health-related issues. Unfortunately, the web is filled with misinformation regarding the efficacy of treatments for health issues. Search users may not be able to discern correct from incorrect information, nor credible from non-credible sources. As a result of finding misinformation deemed by the user to be useful to their decision making task, they can make incorrect decisions that waste money and put their health at risk. The TREC Health Misinformation track fosters research on retrieval methods that promote reliable and correct information over misinformation for health-related decision making tasks. Tasks ? -------------------------- * Ad-hoc Retrieval Task: design a ranking model that promotes credible and correct information over incorrect information; * Answer Prediction Task: predict the answer to the topic?s stance. Guidelines ? -------------------------- * Corpus: noclean version of the C4 dataset (https://huggingface.co/datasets/allenai/c4); * Topics: about consumer health search (people seeking health advice online); * Runs: runs may be either automatic or manual with the standard TREC run format. Detailed guidelines: https://trec-health-misinfo.github.io Important Dates ? -------------------------- * Runs due from participants: August 28, 2022 * Evaluation results returned: End of September 2022 * Notebook paper due: October 2022 * TREC 2022 Conference: November 14-18, 2022 * Final paper due: February 2023 Organization ? -------------------------- * Charles Clarke, University of Waterloo * Maria Maistro, University of Copenhagen * Mark Smucker, University of Waterloo ??? Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark From mm at di.ku.dk Fri Aug 12 04:01:30 2022 From: mm at di.ku.dk (Maria Maistro) Date: Fri, 12 Aug 2022 08:01:30 +0000 Subject: Connectionists: [CfP] ACM TOIS Efficiency in Neural IR In-Reply-To: <62E5EB58-00BB-4EF7-ADB4-1FBF52258B84@ku.dk> References: <62E5EB58-00BB-4EF7-ADB4-1FBF52258B84@ku.dk> Message-ID: Call for Papers - ACM Transactions on Information Systems Special Section on Efficiency in Neural Information Retrieval Full Call of Papers: https://dl.acm.org/journal/tois/calls-for-papers Overview ? -------------------------- The aim of this Special Section is to engage with researchers in Information Retrieval, Natural Language Processing, and related areas and gather insight into the core challenges in measuring, reporting, and optimizing all facets of efficiency in Neural Information Retrieval (NIR) systems, including time-, space-, resource-, sample- and energy- efficiency, among other factors. This special section solicits perspectives from active researchers to advance our understanding of and to overcome efficiency challenges in NIR. In particular, researchers are encouraged to examine the ever-growing model complexity through appropriate empirical analysis, to propose models that require less data, computational resources, and energy for training and fine-tuning with similarly efficient inference, to ask if there are meaningful simplifications of the existing training processes or model architectures that lead to comparable quality, and explore a multi-faceted evaluation of NIR models from quality to all dimensions of efficiency with standardized metrics. Topics ? -------------------------- We welcome submissions on the following topics, including but not limited to: * Novel NIR models that reach competitive quality but are designed to provide efficient training or inference; * Efficient NIR models for decentralized IR tasks such as conversational search; * Efficient NIR models for IR-related tasks such as question answering and recommender systems; * Efficient NIR for resource-constrained devices; * Scalability of NIR systems; * Efficient NIR for text and cross-modal search; * Strategies to optimize training or inference of existing NIR models; * Sample-efficient training of NIR models; * Efficiency-driven distillation, pruning, quantization, retraining, and transfer learning; * Empirical investigation of the complexity of existing NIR models through an analysis of quality, interpretability, robustness, and environmental impact; * Evaluation protocols for efficiency in NIR. Important Dates ? -------------------------- * Open for Submissions: Aug 1, 2022 * Submissions deadline: Dec 31, 2022 * First-round review decisions: Mar 31, 2023 * Deadline for minor revision submissions: Apr 30, 2023 * Deadline for major revision submissions: Jun 30, 2023 * Notification of final decisions: Jul 31, 2023 * Tentative publication: 2023 Guest Editors ? -------------------------- * Dr. Sebastian Bruch, Pinecone, United States of America * Prof. Claudio Lucchese, Ca' Foscari University of Venice, Italy * Dr. Maria Maistro, University of Copenhagen, Denmark * Dr. Franco Maria Nardini, ISTI-CNR, Italy From melaahi2 at gmail.com Fri Aug 12 09:27:26 2022 From: melaahi2 at gmail.com (M Elahi) Date: Fri, 12 Aug 2022 15:27:26 +0200 Subject: Connectionists: MMM2023 - Call for Papers Message-ID: Call for Papers for the* International Conference on MultiMedia Modeling ? MMM 2023 * *January 9-12, 2023 in Bergen, Norway* *Deadline: *September 2, 2022 MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and practical development experiences from all MMM related areas. The conference calls for research papers reporting original investigation results and demonstrations reporting novel and compelling applications. Special sessions, Brave New Ideas session, keynote lectures, and the Video Browser Showdown will also contribute to a high-quality program. Conference Website: http://mmm2023.no MMM 2023 hosts four special sessions: https://www.mmm2023.no/call-for-submissions/calls-for-special-session-papers - *MDRE: *Multimedia Datasets for Repeatable Experimentation - *MACHU: *Multimedia Analytics for Contextual Human Understanding - *ICDAR: *Intelligent Cross-Data Analysis and Retrieval - *SNL: *Sport and Nutrition Lifelogging MMM 2023 also hosts the following two workshops: https://www.mmm2023.no/call-for-submissions/calls-for-workshop-papers - *Research2biz:* From Research To Prototype - *URA: *Second International Workshop on Understanding Reading Activities Finally, MMM 2023 also hosts the Video Browser Showdown (VBS): https://videobrowsershowdown.org *Submission Deadlines* - All submissions to the main conference track and Special Sessions: *September 2, 2022* - Workshop deadlines and the VBS deadline are separately defined by the workshop and VBS organisers On behalf of the MMM 2023 organisers, -------------- next part -------------- An HTML attachment was scrubbed... URL: From er.anubajaj at gmail.com Fri Aug 12 10:22:26 2022 From: er.anubajaj at gmail.com (Anu Bajaj) Date: Fri, 12 Aug 2022 07:22:26 -0700 Subject: Connectionists: 2nd CFP: 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022) - Online - Springer Publication Message-ID: ** Second Call for Papers - please circulate this CFP to your colleagues and networks ** -- 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022) -- http://www.mirlabs.net/nabic22 http://www.mirlabs.org/nabic22 On the World Wide Web December 14-16,2022 Proceedings of NaBIC'22 will be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. ( https://www.springer.com/series/15179) (Approval Pending) Proceedings of NaBIC'21: https://link.springer.com/book/10.1007/978-3-030-96302-6 Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI Compendex, Japanese Science and Technology Agency (JST), SpringerLink History of NaBIC series: http://www.mirlabs.net/nabic22/previous.php **Important Dates** --------------------- Paper submission due: September 30, 2022 Notification of paper acceptance: October 31, 2022 Registration and Final manuscript due: November 15, 2022 Conference: December 14-16, 2022 **About NaBIC'22** ------------------ After the success of the previous 13 events, we welcome your participation and contribution to the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022) to be held online during December 14-16, 2022. NaBIC 2022 is organized to provide a forum for researchers, engineers, and students from all over the world, to discuss state-of-the-art machine intelligence, and address various issues on building up human-friendly machines by learning from nature. The conference theme is "Nurturing Intelligent Computing Towards Advancement of Machine Intelligence". **Topics (not limited to)** --------------------------- Industrial Applications of Nature and Biologically Inspired Computing Computing Information Retrieval Robotics Fault Diagnosis Bioinformatics Web Intelligence Speech Processing Business Information Systems Knowledge Management Evolvable Hardware Image and Signal Processing Pattern Recognition Traffic and Transportation System Decision Analysis Data Mining Computer Vision Information and Communication Technology Control System Innovative approaches Artificial Neural Networks Biodegradability Prediction Cellular Automata Evolutionary Algorithms Swarm Intelligence Emergent Systems Artificial Life Lindenmayer Systems Digital Organisms Artificial Immune Systems Membrane Computing Simulated Annealing Communication Networks and Protocols Computing with Words Common Sense Computing Cognitive Modeling and Architecture Connectionism Metaheuristics Hybrid Approaches Quantum Computing Nano Computing **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324 NaBIC?22 Submission Link: https://easychair.org/conferences/?conf=nabic2022 **Plenary Talks** ---------------------------------------- You are welcome to attend 11 Keynote Talks offered by world-renowned professors and industry leaders. The detailed information is available on conference website. Speaker 1: Catarina Silva, University of Coimbra, Portugal Title: Interpretability and Explainability in Intelligent Systems Speaker 2: Chuan-Kang Ting, National Tsing Hua University, Taiwan Title: TBA Speaker 3: Joanna Kolodziej, Cracow University of Technology, Poland Title: TBA Speaker 4: Kaisa Miettinen, Multiobjective Optimization Group, Faculty of Information Technology, University of Jyvaskyla, Finland Title: Some Perspectives to Interactive Evolutionary Multiobjective Optimization Methods. Speaker 5: Kaspar Riesen, Institute of Computer Science, University of Bern, Switzerland University of Applied Sciences and Arts, Switzerland Title: Four Decades of Structural Pattern Recognition ? An Overview of the Three Major Epochs Speaker 6: Katherine MALAN, Department of Decision Sciences, University of South Africa Title: Landscape analysis of optimisation and machine learning search spaces. Speaker 7: Maki Sakamoto, The University of Electro-Communications, Tokyo, Japan Title: Computer Vision for Expressing Texture Using Sound-Symbolic Words Speaker 8: M?rio Antunes, Polytechnic Institute of Leiria, Portugal Title: Cybersecurity: the road ahead Speaker 9: Patricia MELIN, Tijuana Institute of Technology, Tijuana, Mexico Title: Hybrid Intelligent Systems based on Neural Networks, Fuzzy Logic and Bioinspired Optimization Algorithms and their application to Pattern Recognition. Speaker 10: Ren? NATOWICZ, ESIEE-Paris - Universit? Gustave Eiffel, France Title: Machine Learning in Graphs: Where Are We So Far? Speaker 11: Yifei Pu, College of Computer Science, Sichuan University, China Title : Analog Circuit Implementation of Fractional-Order Memristor: Arbitrary-Order Lattice Scaling Fracmemristor. ** NaBIC 2022 Organization** --------------------------- General Chairs Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA Patrick Siarry, Universit? Paris-Est Cr?teil, France Thomas Hanne, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland Program Chairs Isabel Jesus, Institute of Engineering of Porto, Portugal Nazar Zaki, United Arab Emirate University, UAE Publication Chairs Niketa Gandhi, Machine Intelligence Research Labs, USA Kun Ma, University of Jinan, China Special Session Chair Gabriella Casalino, University of Bari, Italy Publicity Chairs Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India Anu Bajaj, Machine Intelligence Research Labs, USA If you would like to propose a special session, please email Dr. Gabriella Casalino **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham at ieee.org Thanks & Regards Anu Bajaj Publicity Chair-MIR Labs Annual Conferences-2021, 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Fri Aug 12 06:52:10 2022 From: info at incf.org (INCF) Date: Fri, 12 Aug 2022 12:52:10 +0200 Subject: Connectionists: INCF Assembly 2022: Late-breaking abstract submission now open! Message-ID: We are inviting submissions of late-breaking abstracts for INCF Neuroinformatics Assembly 2022 - *submit your abstracts by Friday August 19!* Curious about which abstracts have already been approved? View the list here : bit.ly/INCFAppAbs22 The INCF Neuroinformatics Assembly is an interactive event that will take place virtually from September 12-16 on the Gather platform, with poster sessions in Zohuddle. We?ve chosen these platforms specifically to make your experience as close to an in-person experience as possible. *Why is Assembly?s format different from other virtual conferences?* The Gather platform enables you to ?walk? around the virtual space and when you get close to other participants they will pop up on live video. This works the same for posters and exhibitor booths and gives you a much more interactive experience than your ordinary virtual conference! The Assembly offers many training opportunities for participants of all career stages - this year we offer a 2 PhD-credit course on ?Neuroscience data integration through use of digital brain atlases?. Find more information about this course and other training sessions here : bit.ly/Assembly2022courses *What is Zohuddle?* It?s an app to simplify virtual networking, specifically the poster session of Assembly. It works by letting you rank the abstracts that interest you the most, then creating a schedule of ?huddles? with an integrated video chat for you to meet your matches! *Important dates:* - *Late-breaking abstract submission closes: Aug 19* - Assembly: September 12-16 *Submit your abstracts here: bit.ly/INCFabstracts22 * /The INCF Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From loizos at ouc.ac.cy Fri Aug 12 09:07:49 2022 From: loizos at ouc.ac.cy (Loizos Michael) Date: Fri, 12 Aug 2022 13:07:49 +0000 Subject: Connectionists: Research Positions at OUC and CYENS, Cyprus Message-ID: <1660309668962.43603@ouc.ac.cy> Dear all, The Computational Cognition Lab at Open University of Cyprus, and the Socially-Competent Robotic and Agent Technologies group at CYENS Center of Excellence are looking to recruit research associates and post-docs as part of a number of ongoing and upcoming projects on topics related to cognitive assistants, explainable AI, neural-symbolic integration, conversational AI, natural language understanding/generation, formal argumentation, and knowledge-based systems. Relevant announcements: https://www.ouc.ac.cy/images/files/hr/2022/WeNet_-_Researchers__Developers_vii2022.pdf https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-associates/research-associate-for-multidisciplinary-resea-3/ Interested candidates should apply directly following the procedures described in the links above. Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Mon Aug 15 04:06:32 2022 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Mon, 15 Aug 2022 08:06:32 +0000 Subject: Connectionists: ESANN 2022 call for participation Message-ID: ESANN 2022 - 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online event, 5-7 October 2022 https://www.esann.org Call for participation Registration is open until 25.09.2022 at https://www.esann.org. Reduced registration fees apply until 23.08.2022. Registration is open for online participation. The number of in-person participants is limited and we have almost reached the maximum number; if you wish to participate in-person please first contact us by e-mail. Program The full conference program is available as https://www.esann.org/program. Scope and topics The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 5 special sessions will be organized on the following topics: - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine - Continual Learning beyond classification - Deep Semantic Segmentation Models in Computer Vision - Anomaly and change point detection - Deep Learning for Graphs ESANN 2022 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. ======================================================== ESANN - 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 marcin at amu.edu.pl Sat Aug 13 16:01:30 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 13 Aug 2022 22:01:30 +0200 Subject: Connectionists: CFP -- ICTAS 2023 -- online conference -- IEEE #56421 -- submission deadline October 31, 2022 In-Reply-To: <86f6adfb-11f1-38af-02b6-caef88405328@ibspan.waw.pl> References: <86f6adfb-11f1-38af-02b6-caef88405328@ibspan.waw.pl> Message-ID: <4a480792-f30f-86ce-3a11-01c98e4302a7@amu.edu.pl> Call for Papers IEEE ICTAS 2023 It is our pleasure to invite papers for the 7th Information Communication and Technology Conference 2023 (www.ictas.org; IEEE-sponsored #56421); H-index = 4) Conference will be held virtually on March 8th and 9th, 2023 The annual ICTAS conference was conceived in 2017 to provide a forum for new and seasoned researchers in both academia and industry to share their latest research contributions in the dynamic and ubiquitous field of Information and Communication Technology, while promoting networking of people and ideas. This conference allows attendees to recognize emerging research trends and directions while evaluating present challenges with their proposed solutions. We strive to engage international keynote speakers who are experts in their field, to inspire our presenters and delegates. We invite you to be part of this prestigious conference dedicated to show casing innovative contributions in ICT particularly in the African continent. Accepted papers that are presented at the ICTAS conference will be submitted for inclusion in the IEEE Xplore digital library. We invite submissions of previously unpublished work on the following themes of interest (but not limited to): ? Computer Networks and Engineering ? Cyber-Security ? Data Science and Big Data ? Digital Transformation ? Edge and Cloud Computing ? ICT4D ? Image Processing ? Information Systems ? Internet of Things (loT) ? Machine Learning and Artificial Intelligence ? SemanticWeb ? Software Engineering SUBMISSION INSTRUCTIONS: Submitted papers should not exceed 6 pages (including reference list) in IEEE format (double- column, 1Opt font). Paper review is double-blind; therefore, submitted papers should not include author names and their affiliations. However, once a paper has been accepted the "Camera Ready" paper must include author names and affiliations. Only papers presented at the conference will be submitted to IEEEXplore for publication. IMPORTANT DEADLINES: SUBMISSION: 31 OCT 2022 NOTIFICATION: 26 NOV 2022 CAMERA READY: 6 FEB 2023 REGISTRATION: 15 FEB 2023 For any further information, please contact: Prof. R.C. Millham RichardM1 at dut.ac.za Dr. Jeanette Wing jwing at dut.ac.za From ghwang at nsf.gov Sun Aug 14 15:00:32 2022 From: ghwang at nsf.gov (Hwang, Grace M.) Date: Sun, 14 Aug 2022 19:00:32 +0000 Subject: Connectionists: NSF Opportunity - Brain-inspired Dynamics for Engineering Energy-Efficient Circuits and Artificial Intelligence (BRAID) In-Reply-To: References: Message-ID: Dear Colleagues, Please find below the latest information about the National Science Foundation's FY22/23 Emerging Frontiers in Research and Innovation (EFRI) Program topic: Brain-inspired Dynamics for Engineering Energy-Efficient Circuits and Artificial Intelligence (BRAID). This letter advertises the second and final call for applications. Due to BRAID's core requirement of theoretical expertise in brain function, we strongly encourage participation from interested members of the theoretical and computational neuroscience research communities on the Connectionists list. BRAID supports interdisciplinary research with the aim of fostering new engineering-driven scientific approaches to the design and development of brain-inspired engineered learning systems. The recent period of growth and excitement in neuroscience has provided many new insights and ways to understand the complexity of biological learning processes. This surge of neural data, methods, and theories has emphasized the critical interplay between spatial and temporal dynamics across time scales from milliseconds to lifetimes and spatial scales from subcellular structures to macroscale brain systems. However, the sources of the unparalleled learning efficiency supported by brain mechanisms across many species have remained unclear, particularly in terms of energetic and data-sampling requirements?. BRAID seeks to exploit these emerging advances for the design of engineered learning systems that exhibit the flexibility, robustness, and efficiency of biological intelligent systems. These biological traits may be exemplified by continual and causal learning for adaptive autonomy; abstraction and generalization for learning from few examples and identifying context-dependent strategies based on prior experience; and the energy- and data-efficiency to extend engineered learning and autonomy across the built environment. The core hypothesis of BRAID is that the characteristic capabilities of biological learning surpass current machine learning systems in ways that can inspire innovations to meet the urgent needs of mission-critical engineering applications. Successful BRAID projects will transform innovative findings and theories from neuroscience into new frameworks that distill and apply biological learning principles to the design of engineered learning systems. These systems will include new classes of algorithms, circuits, networks, and neuromorphic devices. In formulating a response to BRAID, please consider your potential projects in the context of neuroscience, at any level of computational function of brain-body systems or implementations in neural mechanisms. The inclusion of theoretical neuroscience expertise is mandatory in each proposal. Any BRAID proposal submitted in response to the EFRI solicitation must address at least two of the following three threads: * Thread 1: Theoretical Neuroscience * Thread 2: Brain-informed Hardware Design * Thread 3: Algorithmic Learning for Resilient Adaptive Technologies While responses to all three threads are encouraged, note that response to Thread 1 is mandatory. Project summaries must explicitly state which threads the proposed project addresses. Please read the full solicitation (21-615) at https://www.nsf.gov/pubs/2021/nsf21615/nsf21615.htm. Webinar recordings are available at https://www.nsf.gov/eng/efma/webinars/efri.jsp. Webinar slides are available at https://www.nsf.gov/attachments/303513/public/EFRI-FY22-webinar-slides.pdf. A Letter of Intent is due by September 12, 2022. Preliminary Proposal is due by October 13, 2022. If invited, a Full Proposal will be due by February 7, 2023. To receive feedback on your ideas, please send a one-page whitepaper (or any questions) to ghwang at nsf.gov or braid at nsf.gov. Grace M. Hwang, Ph.D. Program Director Disability and Rehabilitation Engineering (DARE) Program Chemical, Bioengineering, Environmental, and Transport Systems Division (CBET) Rehab at NSF: https://nsf.gov/eng/rehab.jsp Brain-inspired Dynamics for Engineering Energy-Efficient Circuits and Artificial Intelligence (BRAID) Neural and Cognitive Systems (NCS) Directorate for Engineering (ENG) National Science Foundation (NSF) 2415 Eisenhower Ave, Alexandria, VA 22314 ghwang at nsf.gov P.S. Foreign Organizations - NSF rarely provides direct funding support to foreign organizations. NSF may consider proposals for cooperative projects involving U.S. and foreign organizations, provided NSF support is requested only for the U.S. portion of the collaborative effort. Preliminary inquiry must be made by the US PI by sending an email to the appropriate Program Director (PD) that explains the unique capability of the foreign organization. If permission is granted, a written statement from the cognizant NSF PD must be submitted as part of the preliminary proposal submission. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zsdlightning at gmail.com Mon Aug 15 01:15:20 2022 From: zsdlightning at gmail.com (=?UTF-8?B?5oqY6Zeq55S1?=) Date: Sun, 14 Aug 2022 23:15:20 -0600 Subject: Connectionists: CFP: ICDM 2022 workshop on Machine Learning on Higher-order Structured Data Message-ID: We invite submissions to the ICDM 2022 workshop on Machine Learning on Higher-order Structured Data. The workshop will be held in-person during one day of the ICDM conference, which will be held at the Hilton Orlando in Orlando, Florida from Nov 28 - Dec 1. https://sites.google.com/view/mlhos/ Submission deadline: Sept 2, 2022 Author notification: Oct 5, 2022 please circulate this CFP to your colleagues and networks Topics of interest broadly include, but are not limited to: (1) Scalable and efficient algorithms to deal with large-scale, complex higher-order relations. (2) Interpretable methods for learning and mining from high-order structured data. (3) Models and methods that account for the common properties of data, such as power law distributions. (4) Robust machine learning/deep learning methods to address the challenges of data imbalance and local sparsity. (5) Deep tensor decomposition and higher-order graph embeddings (6) Analysis and prediction from high-order interaction events and time series Submissions should be original research not published or under review at any other conference, journal, or workshop. Submissions should have a maximum of 8 pages (plus 2 extra pages) in double column format, and follow the guidelines of the standard ICDM paper submissions. For more formatting details, see ICDM paper guidelines: https://icdm22.cse.usf.edu/calls/Papers.html. Workshop paper submission link: https://wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=S16&undisplay_detail=1&wh=/cyberchair/2022/icdm22/scripts/ws_submit.php For any questions, please feel free to reach out to the organizers directly at mlhosworkshop at gmail.com. Organizers: Shandian Zhe, University of Utah Nate Veldt, Texas A&M University Bin Shen, Pinerest, Inc Kuang-Chih Lee, Alibaba, Inc Best, Shandian Zhe Assistant Professor School of Computing University of Utah -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Aug 13 11:37:12 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 13 Aug 2022 17:37:12 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration August 15 Message-ID: <1051013930.200094.1660405032552@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: August 15, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning [virtual] Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by October 9, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From hideaki.shimazaki at gmail.com Mon Aug 15 05:41:38 2022 From: hideaki.shimazaki at gmail.com (Hideaki Shimazaki) Date: Mon, 15 Aug 2022 18:41:38 +0900 Subject: Connectionists: Two postdoc positions in theoretical neuroscience and nonlinear time-series analysis Message-ID: *Call for postdoctoral researcher**s* Two postdoc positions are available in (A) theoretical neuroscience and (B) nonlinear time-series analysis/control (or active inference) under the supervision of Prof. Hideaki Shimazaki. *(A) Theoretical Neuroscience* We've been constructing statistical analysis methods for neural data to test theoretical hypotheses on the information coding, underlying circuitry mechanisms, and principles of adaptation in the brain (e.g., Bayesian brain hypothesis, predictive coding, free energy principles). We use methods in statistical physics and machine learning. See references below for our theoretical approaches to analyzing the dynamics of a neural population. We are looking for a postdoc interested in conducting theoretical studies while working closely with neuronal spiking and/or omics data. The contract is yearly-basis and renewable *until March 31, 2026*. Workplace: Kyoto University, Kyoto, Japan *(B) Nonlinear time-series analysis and active inference* Our group strives to understand theoretical principles of organisms' perception and behavior in adapting to the environment and extend the knowledge to create intelligent agents. A postdoc position is available for this research area. We are looking for a postdoc interested in, e.g., Bayesian time-series analysis and control on nonlinear dynamics, the free energy principle, and active inference. The contract is yearly-basis and renewable *until March 31, 2025*. Workplace: Kyoto University, Kyoto, Japan A successful applicant should have a Ph.D. in theoretical neuroscience, machine learning, physics, applied mathematics, or engineering, but not limited to these. The applicant should demonstrate research experiences with a strong publication record. Programming skills in Python or willingness to learn it, will be valued. To apply, please send a CV, a statement of research interest (maximum two pages), and contact information of two references to hideaki.shimazaki at gmail.com. Please indicate which job you are interested in (A or B, or both). Either English or Japanese is accepted. The starting date is flexible, while earlier arrival is appreciated. Screening starts *from September 16th*. The salary follows the university rule and depends on the expertise of an appointed researcher. Please feel free to send me any informal questions regarding this post. Sincerely, Hideaki Shimazaki, PhD Email: hideaki.shimazaki at gmail.com Webpage: http://www.neuralengine.org Ref: Aguilera, M., Moosavi, S. A., & Shimazaki, H. (2021). A unifying framework for mean-field theories of asymmetric kinetic Ising systems. Nature communications, 12, 1197 . Donner C, Obermeyer K, Shimazaki H. Approximate inference for time-varying interactions and macroscopic dynamics of neural populations. PLoS Computational Biology (2017) 13(1): e1005309 Shimazaki H, Amari S, Brown EN, and Gruen S, State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. PLOS Computational Biology (2012) 8(3): e1002385 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sigurd.lokse at uit.no Mon Aug 15 07:47:17 2022 From: sigurd.lokse at uit.no (=?Windows-1252?Q?Sigurd_Eivindson_L=F8kse?=) Date: Mon, 15 Aug 2022 11:47:17 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_Contributions=3A_6th_No?= =?windows-1252?q?rthern_Lights_Deep_Learning_Conference=2C_10-12_January_?= =?windows-1252?q?2023=2C_Troms=F8_=28=93North_Pole=94=29=2C_Norway?= Message-ID: Please join for the 6th Northern Lights Deep Learning Conference (NLDL) on 10-12 January 2023 in Troms?, Norway, organized by Visual Intelligence and the UiT Machine Learning Group. We look forward to gathering the deep learning community again in the cool arctic air for a physical conference, after two years online. In addition, the NLDL winter school, which is a part of the NORA research school http://nora.ai, starts at Jan 9 and ends at Jan 13 and incorporates events during the main conference days. The winter school includes scientific topics, industry event, women in AI event, and transferrable skills. More information coming soon at http://www.nldl.org/winter-school. We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following: * Architecture, concepts and optimization * Deep learning for structured and unstructured data * Graph neural networks * Generative models * Bayesian Deep Learning * Lightweight / frugal Deep Learning * Explainability and interpretability of Deep Learning models * Computer vision * Natural language processing * Deep Learning for signals, images, 3D and hyperspectral images * Deep Learning applications to biology and medicine * Deep Learning application to environment and ecology * Deep Learning applications to Physics * Deep Learning for industrial applications As always, we are happy to have top international speakers. This year, for instance * Mark Girolami ? University of Cambridge/Alan Turing Institute * Mihaela van der Shaar ? University of Cambridge/Alan Turing Institute * Polina Golland ? MIT * Christian Igel ? University of Copenhagen We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings. The proceedings are approved as a level 1 publication in the Norwegian national list of authorized research publication channels; (2) Extended abstracts (2 pages) will be presented either as orals or as posters (but not published in the conference proceedings). The review process is double-blind. Deadline for both types of submissions: September 16th, 2022. Instructions on template etc. can be found on http://www.nldl.org. A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a Women in AI event and social events. We hope to see many participants for a nice scientific gathering on the ?north pole?, including social events, and hopefully some northern lights Kind regards, The NLDL 2023 organizing committee http://visual-intelligence.no http://machine-learning.uit.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From yaochu.jin at surrey.ac.uk Mon Aug 15 16:41:25 2022 From: yaochu.jin at surrey.ac.uk (Yaochu Jin) Date: Mon, 15 Aug 2022 20:41:25 +0000 Subject: Connectionists: Postdoc position available at University of Surrey Message-ID: Dear All, 037522-R Post Doctoral Research Fellow - Jobs at the University of Surrey Post Doctoral Research Fellow Psychological Sciences Location: Guildford Salary: ?43,413 to ?51,805 per annum Fixed Term Post Type: Full Time Closing Date: 23.59 hours BST on Sunday 28 August 2022 Reference: 037522-R This post is for 15 months, with a potential extension pending funding, and aims to allow a postdoc with advanced experience in Bayesian optimization, transfer optimization, and multi-objective optimization to implement her/his knowledge in human-based research. The researcher will work together with the Head of School of Psychology, Prof. Cohen Kadosh, Prof. Yaochu Jin, Distinguished Chair, Professor in Computational Intelligence, and Prof Mark Cropley, Prof of Health Psychology in a project that aims to personalise a brain-based intervention to target rumination. You will be responsible for the development and optimisation of machine learning algorithms, carrying out data simulations, helping to deliver the project, and you will be working with a multisciplinary team. The University of Surrey The post-holder will be based in the School of Psychology at the University of Surrey. The University of Surrey is located on a beautiful, leafy campus in Guildford, just 30 miles from London and benefitting from excellent rail and road connections. We are an ambitious, research-led organization, committed to research excellence and to the application of our research for the benefit of society. The University of Surrey is amongst the highest achieving universities in the United Kingdom, and has established recently the people-centred AI institute that fits with the work in this fellowship. The School of Psychology has a long-standing reputation for its vibrant and supportive research and teaching environment. The School of Psychology has a long-standing reputation for its vibrant and supportive research and teaching environment. The School has a strong track record of innovation in Psychology, from the discovery of the McGurk effect, to changing educational approaches to national identity, and the ongoing development of mobile neuro-assessment. The School currently houses 500+ UG students, 100+ Masters and 150+ taught Doctorate and PhD students and more than 70 staff. In addition to your salary, you will receive pension contributions via the Universities Superannuation Scheme, a generous annual leave entitlement, an attractive research environment, and access to a variety of staff development opportunities. You are welcome to contact Prof Roi Cohen Kadosh (r.cohenkadosh at surrey.ac.uk) and/or Prof Yaochu Jin (yaochu.jin at surrey.ac.uk) if you would like further information or to discuss the post. Interview date to be confirmed. Further details: Job Description Email details to a friend APPLY ONLINE For more information and to apply online, please download the further details and click on the 'apply online' button above. In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery. Click here to find out more about the benefits we offer to support you. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. =============================================== Prof. Dr.-Ing. Yaochu Jin, MAE, FIEEE Alexander von Humboldt Professor for AI Chair of Nature Inspired Computing and Engineering Faculty of Technology, Bielefeld University D-33619 Bielefeld, Germany Email: yaochu.jin at uni-bielefeld.de and Distinguished Chair, Professor in Computational Intelligence Department of Computer Science, University of Surrey Guildford, GU2 7XH, United Kingdom Email: yaochu.jin at surrey.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Tue Aug 16 09:10:17 2022 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Tue, 16 Aug 2022 13:10:17 +0000 Subject: Connectionists: Postdoctoral fellowships at the Gatsby Unit In-Reply-To: References: Message-ID: The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience. ? Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes: - How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution?(mentor: Maneesh Sahani). - Deep learning theory (mentor: Andrew Saxe). ? Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit?www.ucl.ac.uk/gatsby/vacancies ? ? About the Gatsby Unit Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning.?The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond. ? -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL i.lin at ucl.ac.uk?|?www.ucl.ac.uk/gatsby | @GatsbyUCL From mm at santafe.edu Mon Aug 15 16:31:02 2022 From: mm at santafe.edu (Melanie Mitchell) Date: Mon, 15 Aug 2022 14:31:02 -0600 Subject: Connectionists: Postdoctoral Fellowships at the Santa Fe Institute Message-ID: <709E664E-F171-4D81-97CA-9EBA726D76B2@santafe.edu> The Santa Fe Institute's Postdoctoral Fellowships offer early-career scientists unparalleled intellectual freedom to pursue key insights about the complex systems that matter most for science and society. We encourage people in AI/ML to apply. For more information and application link go to https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/ (deadline October 14, 2022). Melanie Mitchell Davis Professor Santa Fe Institute -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Tue Aug 16 07:23:49 2022 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Tue, 16 Aug 2022 11:23:49 +0000 Subject: Connectionists: Final CfP Third workshop on Resources for African Indigenous Language (RAIL) Message-ID: <3a82b9b168682eb2909fe0940f874fca8f6bdd66.camel@nwu.ac.za> Final call for papers Third workshop on Resources for African Indigenous Language (RAIL) https://bit.ly/rail2022 The South African Centre for Digital Language Resources (SADiLaR) is organising the 3rd RAIL workshop in the field of Resources for African Indigenous Languages. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it will allow for information sharing among researchers interested in African indigenous languages and also start discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. Suggested topics include the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources The 3rd RAIL workshop 2022 will be co-located with the 10th Southern African Microlinguistics Workshop ( https://sites.google.com/nwulettere.co.za/samwop-10/home). This will be an in-person event located in Potchefstroom, South Africa. Registration will be free. RAIL 2022 submission requirements: * RAIL asks for full papers from 4 pages to 8 pages (plus more pages for references if needed), which must strictly follow the Journal of the Digital Humanities Association of Southern Africa style guide ( https://upjournals.up.ac.za/index.php/dhasa/libraryFiles/downloadPublic/30 ). * Accepted submissions will be published in JDHASA, the Journal of the Digital Humanities Association of Southern Africa ( https://upjournals.up.ac.za/index.php/dhasa/). * Papers will be double blind peer-reviewed and must be submitted through EasyChair (https://easychair.org/my/conference?conf=rail2022). Important dates Submission deadline: 28 August 2022 Date of notification: 30 September 2022 Camera ready copy deadline: 23 October 2022 RAIL: 30 November 2022, North-West University - Potchefstroom SAMWOP: 1 ? 3 December 2022, North-West University - Potchefstroom Organising Committee Jessica Mabaso Rooweither Mabuya Muzi Matfunjwa Mmasibidi Setaka Menno van Zaanen South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ From ioannakoroni at csd.auth.gr Wed Aug 17 01:56:09 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 17 Aug 2022 08:56:09 +0300 Subject: Connectionists: Last call: Invitation to join 2022 Summer 'Programming short course and workshop on Deep Learning and Computer Vision', 24-26th August 2022 Message-ID: <04b901d8b1fe$0ccf2060$266d6120$@csd.auth.gr> Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML e-course on 'Programming short course and workshop on Deep Learning and Computer Vision', 24-26th August 2022: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-2022/ It will take place as a three-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures and workshops delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This course is part of the very successful CVML programming short course and workshop series that took place in the last four years. Course description 'Programming short course and workshop on Deep Learning and Computer Vision' The programming short course and workshop e-course consists of 16 1-hour live lectures & workshops organized in two Parts (1 Part per day): Part A will focus on Deep Learning and GPU programming. Part B lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking. Part C lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools. Course lectures Part A (8 hours), Deep Learning and GPU programming Deep neural networks. Convolutional NNs. Parallel GPU and multi-core CPU architectures - GPU programming Image classification with CNNs. CUDA programming Part B (8 hours), Deep Learning for Computer Vision Deep learning for object/face detection. 2D object tracking. PyTorch: Understand the core functionalities of an object detector. Training and deployment. OpenCV programming for object tracking. Part C (8 hours), Autonomous UAV cinematography Video summarization. UAV cinematography. Video summarization with Pytorch. Drone cinematography with Airsim. You can use the following link for course registration: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-2022/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From gracewlindsay at gmail.com Wed Aug 17 09:17:40 2022 From: gracewlindsay at gmail.com (Grace Lindsay) Date: Wed, 17 Aug 2022 09:17:40 -0400 Subject: Connectionists: Workshop on Attention - Call for Papers Message-ID: On behalf of the co-organizers, we would like to invite you to submit your work to our NeurIPS workshop on ?All things Attention: Bridging Different Perspectives on Attention?. The details of the workshop and submission instructions are as follows: The Thirty Sixth Conference on Neural Information Processing Systems (NeurIPS) Dec 2, 2022 NeurIPS 2022 is a hybrid Conference https://attention-learning-workshop.github.io/ The All Things Attention workshop aims to foster connections across disparate academic communities that conceptualize "Attention" such as Neuroscience, Psychology, Machine Learning, and Human-Computer Interaction. Workshop topics of interest include (but are not limited to): 1. Relationships between biological and artificial attention 1. What are the connections between different forms of attention in the human brain and present deep neural network architectures? 2. Can the anatomy of human attention models provide useful insights to researchers designing architectures for artificial systems? 3. Given the same task and learning objective, do machines learn attention mechanisms that are different from humans? 1. Attention for reinforcement learning and decision making 1. How have reinforcement learning agents leveraged attention in decision making? 2. Do decision-making agents today have implicit or explicit formalisms of attention? 3. How can AI agents build notions of attention without explicitly baked in notions of attention? 4. Can attention significantly enable AI agents to scale e.g. through gains in sample efficiency, and generalization? 2. Benefits and formulation of attention mechanisms for continual / lifelong learning 1. How can continual learning agents optimize for retention of knowledge for tasks that it already learned? 2. How can the amount of interference between different inputs be controlled via attention? 3. How does the executive control of attention evolve with learning in humans? 4. How can we study the development of attentional systems in infancy and childhood to better understand how attention can be learned? 3. Attention as a tool for interpretation and explanation 1. How have researchers leveraged attention as a visualization tool? 2. What are the common approaches when using attention as a tool for interpretability in AI? 3. What are the major bottlenecks and common pitfalls in leveraging attention as a key tool for explaining the decisions of AI agents? 4. How can we do better? 4. The role of attention in human-computer interaction and human-robot interaction 1. How do we detect aspects of human attention during interactions, from sensing to processing to representations? 2. What systems benefit from human attention modeling, and how do they use these models? 3. How can systems influence a user?s attention, and what systems benefit from this capability? 4. How can a system communicate or simulate its own attention (humanlike or algorithmic) in an interaction, and to what benefit? 5. How do attention models affect different applications, like collaboration or assistance, in different domains, like autonomous vehicles and driver assistance systems, learning from demonstration, joint attention in collaborative tasks, social interaction, etc.? 6. How should researchers thinking about attention in different biological and computational fields organize the collection of human gaze data sets, modeling gaze behaviors, and utilizing gaze information in various applications for knowledge transfer and cross-pollination of ideas? 5. Attention mechanisms in Deep Neural Network (DNN) architectures 1. How does attention in DNN such as transformers relate to existing formalisms of attention in cogsci/psychology? 2. Do we have a concrete understanding of how and if self-attention in transformers contributes to its vast success in recent models such as GPT2, GPT3, DALLE.? 3. Can our understanding of attention from other fields inform the progress we have achieved in recent breakthroughs? SUBMISSION INSTRUCTIONS We invite you to submit papers (up to 9 pages for long papers and up to 5 pages for short papers, excluding references and appendix) in the NeurIPS 2022 format. All submissions will be managed through OpenReview (submission website ). The final submission including main paper, references and appendix should not exceed 12 pages. Supplementary Materials uploads are to only be used optionally for extra videos/code/data/figures and should be uploaded separately in the submission website. The review process is double-blind so the submission should be anonymized. Accepted work will be presented as posters during the workshop, and select contributions will be invited to give spotlight talks during the workshop. Each accepted work entering the poster sessions will have an accompanying pre-recorded 5-minute video. Please note that at least one coauthor of each accepted paper will be expected to have a NeurIPS conference registration and participate in one of the poster sessions. Submissions will be evaluated based on novelty, rigor, and relevance to the theme of the workshop. Both empirical and theoretical contributions are welcome. Submissions should not have previously appeared in a journal or conference (including accepted papers to NeurIPS 2022) and should not be submitted to another NeurIPS workshop. Submissions must adhere to the NeurIPS Code of Conduct. The focus of the work should relate to the list of the topics specified below. The review process will be double-blind and accepted submissions will be presented as virtual talks or posters. There will be no proceedings for this workshop, however, authors can opt to have their abstracts/papers posted on the workshop website. We encourage submissions on the following topics from the focus of bridging different perspectives on attention: - Relationships between biological and artificial attention - Attention for reinforcement learning and decision making - Benefits and formulation of attention mechanisms for continual / lifelong learning - Attention as a tool for interpretation and explanation - The role of attention in human-computer interaction and human-robot interaction - Attention mechanisms in Deep Neural Network (DNN) architectures Please submit your papers via the following link: submission website IMPORTANT DATES * Submission deadline: Sep 15, 2022 at 11:59PM (AOE) submission website * Accept/Reject Notification: Oct 12, 2022 * Camera-ready (final) paper deadline: Nov 25, 2022 at 11:59PM (Anywhere on earth) * Workshop: Dec 2, 2022 CONFIRMED SPEAKERS & PANELISTS Speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Erin Grant (UC Berkeley) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Vidhya Navalpakkam (Google Research) Shalini De Mello (NVIDIA) Panelists: David Ha (Google Brain) Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Shalini De Mello (NVIDIA) Ramakrishna Vedantam (Meta AI Research) Megan deBettencourt (University of Chicago) Cyril Zhang (Microsoft Research) ORGANIZERS Akanksha Saran (Microsoft Research, NYC) Khimya Khetarpal (McGill University, Mila Montreal) Reuben Aronson (Carnegie Mellon University) Abhijat Biswas (Carnegie Mellon University) Ruohan Zhang (Stanford University) Grace Lindsay (University College London, New York University) Scott Neikum (University of Texas at Austin, University of Massachusetts) REGISTRATION Participants should refer to the NeurIPS 2022 website ( https://neurips.cc/Conferences/2022/Dates) for information on how to register. CONTACT Please reach out to us at attention-workshop at googlegroups.com if you have any questions. We look forward to receiving your submissions! Kind Regards, Workshop Organizers All things Attention- Bridging different perspectives on attention -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Wed Aug 17 04:39:51 2022 From: massimo.srt at gmail.com (Massimo Sartori) Date: Wed, 17 Aug 2022 10:39:51 +0200 Subject: Connectionists: [jobs] Assistant Professor Opening at University of Twente: AI in Biomechanics and Robotics Message-ID: The Department of Biomechanical Engineering seeks applicants for a position at the Assistant Professor Level in the field of AI in Biomechanics and Robotics, with an expected start date of January, 2023. *Application: *please, read more about the opening and apply via the link below no later than *September 30th, 2022*. *We offer* an ambitious full-time position for 1 year with the prospect of a permanent position after a positive evaluation. We offer a start-up package that includes funding for the recruitment of 1 PhD to help in kickstarting your research. You will have access to extraordinary research facilities and working environment. https://utwentecareers.nl/en/vacancies/762/assistant-professor-artificial-intelligence-in-biomechanics-and-robotics/ *The University of Twente*. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. We have a strong focus on personal development and researchers are given scope for carrying out groundbreaking science. *The Chair of Neuromechanical Engineering. *We interface robotic technologies with the neuromuscular system to enhance movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio-inspired assistive technologies. Our work is facilitated by the University's TechMed Centre (https://www.utwente.nl/en/techmed/), the Robotics Center ( https://www.utwente.nl/en/robotics/robotics-centre/) and the Digital Society Institute (https://www.utwente.nl/nl/digital-society/). Please, also check out our pages: - Lab: https://bit.ly/NMLab - YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From julia.verhoef at donders.ru.nl Wed Aug 17 05:46:50 2022 From: julia.verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Wed, 17 Aug 2022 09:46:50 +0000 Subject: Connectionists: Research Assistant for the Dutch Research Consortium 'Language in Interaction' References: Message-ID: Dear all, We would like to draw your attention to the vacancy below. Please feel free to forward this information to those who might be interested. Research Assistant for the Dutch Research Consortium 'Language in Interaction' Employment 0.5 FTE Gross monthly salary ? 2,471 - ? 3,336 Required background Research University Degree Organizational unit Donders Centre for Cognitive Neuroimaging Application deadline 15 September 2022 https://www.ru.nl/en/working-at/job-opportunities/research-assistant-for-the-dutch-research-consortium-language-in-interaction Are you an enthusiastic research assistant with an interest in supporting science surrounding the neural processes behind human language? And would you like to develop and integrate novel automated methodologies for characterizing content and manner of multimodal communicative behaviours? Then we are looking for you! As a research assistant you help us write codes for extracting several automated measures from a natural interaction based on written transcripts, Kinect movement data, audio, and video materials. We have collected a large corpus of task-based interactions between participants (n = 71 pairs, about 1 hour per pair). Given the large size of this corpus, we aim to analyse these interactional data in an automated manner as much as possible. Together with Dr Sara B?gels, the coordinator of the project, and various other team members of the Communicative Alignment in Brain and Behaviour (CABB or BQ3) team, you will help write codes for such automated analyses of the interactions. Your own interests and skills may partly determine the exact projects carried out. Projects may include (but are not limited to): * Improvement of an already existing system for automated detection and analysis (comparison) of gestures based on Kinect movement data. * Improvement and unification of scattered codebases for visualising conversational structure, annotation content, and speech signals. * Automatic extraction of alignment (degree of similarity) between interlocutors from transcripts and/or audio/video, on several different levels: * Lexical: similarity of words/lemmas * Semantic: similarity of word semantics (e.g. based on word2vec models) * Syntactic: similarity of used syntactic structures (e.g. based on N-grams) * Prosodic: similarity of speech rate and/or intonation alignment patterns * Phonetic: similarity of phonetic realisation of different sounds (using forced phonetic alignment of sound based on the transcripts) Profile * You hold a Master's degree in a relevant discipline, such as artificial intelligence or computer science. * You have experience in programming in at least Python or R (Matlab or other languages would be an advantage). * An interest in language, linguistics and/or multi-modal analyses is desirable. * You have a good command of English and Dutch. * You have excellent social skills, a pro-active attitude and team spirit. We are The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, which is sponsored by a large grant from the Dutch Research Council (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organisation for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? You will be appointed at the Donders Centre for Cognitive Neuroimaging (DCCN) in Nijmegen and will become a member of our Big Question 3 (CABB) team. The mission of DCCN is to conduct cutting-edge research in cognitive neuroscience. Much of the rapid progress in this field is being driven by the development of complex neuroimaging techniques for the in-vivo scanning of activity in the human brain - an area in which the Centre plays a leading role. The research is conducted in an international setting at all participating institutions. English is the lingua franca. Radboud University We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 24,000 students and 5,600 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play! We offer * It concerns an employment for 0.5 FTE. * The gross monthly salary amounts to a minimum of ?2,471 and a maximum of ?3,336 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale 7). * You will receive 8% holiday allowance and 8.3% end-of-year bonus. * It concerns a temporary employment for 1 year. * You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen. * Working for us means getting extra days off. In case of full-time employment, you can choose between 29 or 41 days of annual leave instead of the legally allotted 20. Additional employment conditions Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes. Would you like more information? For questions about the position, please contact Sara B?gels, Postdoctoral Researcher at sara.boegels at donders.ru.nl. Alternatively, you can contact Ivan Toni, Principal Investigator at ivan.toni at donders.ru.nl. Practical information and applying You can apply until 15 September 2022, exclusively using the button below. Kindly address your application to Sara B?gels. Please fill in the application form and attach the following documents: * A letter of motivation. * Your CV, including a section on your programming experience that demonstrates relevant skills (e.g. through links to code repositories). * The contact details of at least two references. The first round of interviews will take place on Thursday 29 September and/or Friday 30 September in the morning. You would preferably begin employment as soon as possible. We can imagine you're curious about our application procedure. It offers a rough outline of what you can expect during the application process, how we handle your personal data and how we deal with internal and external candidates. Apply now Application deadline 15 September 2022 https://www.ru.nl/en/working-at/job-opportunities/research-assistant-for-the-dutch-research-consortium-language-in-interaction Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) | room 0.026 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands | P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands | T: +31 (0)24 3666272 | E: julia.verhoef at donders.ru.nl|Office hours: 9-14 hr on Mon - Fri -------------- next part -------------- An HTML attachment was scrubbed... URL: From tvickery at udel.edu Tue Aug 16 17:16:11 2022 From: tvickery at udel.edu (Timothy Vickery) Date: Tue, 16 Aug 2022 17:16:11 -0400 Subject: Connectionists: Two tenure-track positions at the University of Delaware Message-ID: Dear colleagues, The Department of Psychological and Brain Sciences ( https://www.psych.udel.edu) in the College of Arts and Sciences at the University of Delaware invites applications for two tenure track Assistant Professor of Psychological and Brain Sciences positions, to begin September 1, 2023. For one position, we seek a scholar with expertise in any specialization of Cognitive Psychology and/or Cognitive Neuroscience. For the second position, we seek a scholar with expertise in computational modeling of cognition and/or computational cognitive neuroscience. Topical areas of specialization within the broad domain of cognition are otherwise open, and we welcome applications from candidates who combine computational approaches with other empirical methodologies (behavioral experiments, psychophysics, neuroimaging, etc.). We especially welcome applicants who conduct research with strong interdisciplinary connections and who can contribute to graduate and undergraduate teaching, advising, and mentoring that support equity and inclusion. This is an outstanding opportunity for a scholar to join and strengthen a thriving, growing community of cognition and neuroscience researchers within the Department of Psychological and Brain Sciences and its research and teaching missions. The Cognitive Area has faculty focusing on spatial representations, vision science and visual cognition, the auditory system, body representations, memory, attention, cognitive control and decision-making. They employ multiple methodologies including neuroimaging at our MRI center, EEG, brain stimulation (TMS), computational modeling, and studies of brain-damaged individuals. Other faculty in Social, Behavioral Neuroscience, and Clinical areas in the Department study closely linked topics such as social cognition, social neuroscience, memory and learning in animal models, and psychological disorders linked to cognition. A strong and growing interdepartmental network of cognitive scientists and neuroscientists is also represented in the Department of Linguistics and Cognitive Science, as well as in departments in the University of Delaware?s Colleges of Health Sciences and Engineering. A new Interdisciplinary Neuroscience Graduate Program provides opportunities to train interdisciplinary scholars and build connections with researchers across departments and colleges. Candidates with strong cross-area and interdisciplinary interests are especially encouraged to apply. An innovative leader in research and teaching, the University of Delaware combines a rich historic legacy with a commitment to education and the latest in advanced technology. Enhanced by state-of-the-art facilities, research is conducted across all seven colleges and numerous interdisciplinary institutes and centers. Relevant staffed facilities on campus include the new 11,600 square foot Center for Biomedical and Brain Imaging (CBBI, http://cbbi.udel.edu) housing a 3T Siemens Magnetom Prisma for humans and a 9.4T/20cm Bruker MRI for small animals, an animal housing and research facility attached to the CBBI, a 103,000 square foot Health Sciences Complex, a 194,000 square foot Interdisciplinary Science and Engineering Laboratory, and the Delaware Technology Park, where entrepreneurial and academic research labs are co-located. The Early Learning Center at UD is a daycare and preschool that supports the academic and research programs of the University as a site for student observation and practicum as well as faculty and graduate student research. The NIH-supported Delaware Center for Neuroscience Research in collaboration with Delaware State University, and the Delaware Health Sciences Alliance (DHSA), a partnership among the University of Delaware, Christiana Care Health System, Nemours/Alfred I. du Pont Hospital for Children, and Thomas Jefferson University, provide infrastructure and opportunity for innovative basic, clinical and translational collaborations. The University of Delaware is located in Newark, Delaware, a charming college town with a busy main street near Wilmington, DE. Newark is only a short drive or train commute from Philadelphia, PA. UD is also within driving distance of New York City, Baltimore, Washington DC, the Poconos and some of the finest beaches in the country, making it an ideal location for day or weekend trips. QUALIFICATIONS AND RESPONSIBILITIES: We are seeking two exceptional candidates in cognitive psychology or cognitive neuroscience, one specifically with computational expertise and the other employing any methodological approach. Both candidates should have expertise in one or more topics in cognition. The successful candidate will have a strong history of research and publication of scholarly work and be prepared to teach undergraduate and graduate students. Applicants for this position must have earned a Ph.D. Applicants who are ABD will be considered but must have a granted Ph.D. upon arrival. Responsibilities will include research, teaching and mentorship, and service to the department. PSYCHOLOGICAL AND BRAIN SCIENCES AT UD: The Department of Psychological and Brain Sciences at the University of Delaware ( https://www.psych.udel.edu/) is within the College Arts and Sciences. The department is home to roughly 1200 undergraduate majors and 400 minors and offers degrees in both Psychology and Neuroscience. The department is organized around four concentrations of research and graduate training that is highly collaborative and interdisciplinary. Our graduate students and full-time faculty conduct basic and applied research in behavioral neuroscience, clinical science, cognitive psychology and social psychology. We promote the principles of equity and inclusion within our department and beyond through recruitment and retention, graduate training, clinical work, research, service and teaching, as well as through open and productive dialogue. The College of Arts and Sciences at the University of Delaware offers exceptional educational experiences including integrated instruction, research and public engagement. With 24 academic departments and more than 25 centers, programs and institutes, the College serves close to 7,000 undergraduate students and over 1,000 graduate students with CAS majors, but also every single University student through foundational course work. The College?s 600 faculty members emphasize the enduring value of an arts and science education and share a deep commitment to excellence in scholarship and all forms of creative and intellectual expression. The College has departments in the arts, humanities, social sciences and natural sciences, and features outstanding research and teaching facilities. Faculty and staff encourage and support innovative interdisciplinary collaborations and students engage local, national and global audiences through research and creative activity. With annual research expenditures of approximately $38 million and growing, the College currently houses several large, interdisciplinary grants with significant funding from the NIH and NSF. The University of Delaware (www.udel.edu) is one of the nation?s oldest institutions of higher education, combining tradition and innovation. The university recognizes and values the importance of diversity and inclusion in enriching the experience of its employees and in supporting its academic mission. We are committed to attracting and retaining employees with varying identities and backgrounds, and we strongly encourage applications from educators from under-represented groups. UD provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. TO APPLY: Review of applications will begin on October 1, 2022 and will continue until the position is filled. Applicants should upload a letter of application, curriculum vitae, a research statement, a teaching statement, three representative publications, and contact information for three references at http://www.udel.edu/careers [direct link to application portal: https://careers.udel.edu/cw/en-us/job/499181/tenure-track-assistant-professor-department-of-psychological-and-brain-sciences]. Please indicate in the cover letter if you believe that you are qualified to be considered for the computationally oriented position (note that this will not exclude you from consideration for the other position). Inquiries, but not application materials, should be emailed to co-Chairs Jared Medina ( jmedina at udel.edu) and/or Tim Vickery (tvickery at udel.edu). SALARY AND BENEFITS: Compensation packages are highly competitive and commensurate with experience and qualifications. The UD benefits package is one of the best in the nation. EQUAL EMPLOYMENT OPPORTUNITY: The University of Delaware is an Equal Opportunity Employer and encourages applications from members of underrepresented groups. The University's Notice of Non-Discrimination can be found at http://www.udel.edu/aboutus/legalnotices.html. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smgsolinas at uniss.it Wed Aug 17 09:52:52 2022 From: smgsolinas at uniss.it (Sergio Solinas) Date: Wed, 17 Aug 2022 15:52:52 +0200 Subject: Connectionists: NEURON School 12-16 September 2022 ITALY DEADLINE EXTENDED Message-ID: *Apologies for cross-posting* [All details about this school can be found online at The NEURON School < https://www.neuronschool.org/>] DEADLINE EXTENSION TO 25th of August 2022 We are excited to announce the third edition of The NEURON School on Computational Neuroscience 12-16 September 2022 Pula-Cagliari ITALY. The school is intended to enrol a maximum of 25 students without restrictions to Sardinian students or workers. Register at: https://www.neuronschool.org/join-the-school/ This one-week school will introduce the basic use of the simulation environment NEURON and related software to build brain models from experiments to their applications. School speakers: - Barry Richmond NIH Washington DC (USA) - Michele Migliore CNR IBF Palermo (ITALY) - Mitchell Goldfarb Hunter College NY (USA) - Padraig Gleeson UCL London (UK) - Gabriela Michel Janelia Research Campus Whashington DC (USA) - Paola Perin University of Pavia (ITALY) - Giuseppe Talani University of Cagliari (ITALY) - Thierry Nieus ???? (ITALY) - Eugenio Piasini SISSA Trieste (ITALY) School Organizers: - Sergio Solinas, Paolo Enrico, Beniamina Mercante University of Sassari (ITALY) The school will provide basic notions on experimental methods to extract and process morphological and electrophysiological data targeting their use to build computational models of single neurons and neuronal networks. The school will cover how these models can be constructed based on the principles of biological tissue electrophysiology. We welcome applications from undergraduate, full graduate, PhD students, and PostDocs in a variety of fields from biology, neurobiology and psychology, to physics, engineering, and mathematics, and industry professionals with a relevant background. Applicants are expected to have a good background in their discipline, an interest in neuroscience, and some knowledge (even basic) of computer programming. We will soon post updates about the school organisation. Format: Morning tutorials will be complemented with Afternoon coding sessions and Evening discussions promoted by presentations of Senior Scientists. Date and Location: September 12th to September 16st, 2022 at the Pula Research Centre < https://www.sardegnaricerche.it/index.php?xsl=376&s=13&v=9&c=3874&nc=1> within the Science and Technology Park of Sardinia, Cagliari - Sardinia (ITALY). Application Deadline: 25 August 2022 Applications: Please visit https://www.neuronschool.org/ where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact smgsolinas at uniss.it We look forward to your registration and to welcoming you to the Pula Research Centre! Best regards, Sergio MG Solinas Dip. di Scienze Biomediche Universit? di Sassari Viale San Pietro 23 07100 - Sassari The NEURON School -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Tue Aug 16 18:50:36 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Tue, 16 Aug 2022 18:50:36 -0400 Subject: Connectionists: The 8th IEEE International Conference on Privacy Computing (PriComp 2022) [10+ Special Issues][Deadline: Sep. 1] Message-ID: CFP: The 8th IEEE International Conference on Privacy Computing (PriComp 2022) [10+ Special Issues] Dec. 15-18, Haikou, China [Submission Deadline: Sep. 1] http://www.ieee-smart-world.org/2022/pricomp/ PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi'an, Shanghai, China (online, 2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. ================== Important Dates ================== Workshop Proposal: July 15, 2022 Paper Submission: September 01, 2022 Author Notification: October 01, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: December 15-18, 2022 ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy metrics and formalization - Privacy taxonomies and ontologies - Privacy information management and engineering - Privacy operation and modeling - Data utility and privacy loss - Cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Internet and web privacy - Cloud privacy - Social media privacy - Mobile privacy - Location privacy - IoT privacy - Behavioral advertising - Privacy in large ecosystems such as smart cities - Privacy of AI models and systems - AI for privacy computing - Privacy and blockchain - User-centric privacy protection solutions - Human factors in privacy computing - Privacy nudging - Automated solutions for privacy policies and notices - Legal issues in privacy computing and other interdisciplinary topics ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N29960) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Special Issues ================== All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in SCI & EI indexed prestigious journals. 1. Special issue on ?Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation?, IEEE Transactions on Computational Social Systems http://cyber-science.org/2022/assets/files/si/220412_IEEE%20TCSS_SI.pdf 2. Special issue on ?Responsible AI in Social Computing?, IEEE Transactions on Computational Social Systems https://www.ieeesmc.org/images/publications/pdfs/Call_for_Paper_-_SI_on_Responsible_AI_in_Social_Computing.pdf 3. Special issue on ?Decentralized Trust Management with Intelligence?, Information Science https://www.journals.elsevier.com/information-sciences/call-for-papers/decentralized-trust-management-with-intelligence 4. Special issue on ?Resource Sustainable Computational and Artificial Intelligence?, IEEE Transactions on Emerging Topics in Computational Intelligence 5. Special issue on ?Smart Blockchain for IoT Trust, Security and Privacy?, IEEE IoT Journal https://ieee-iotj.org/wp-content/uploads/2022/05/IEEEIoT-SmartBlockchain-TSP.pdf 6. Special issue on ?Edge Computing Optimization and Security?, Journal of Systems Architecture https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/edge-computing-optimization-and-security-vsi-edgeos2022 7. Special issue on ?Distributed Learning and Blockchain Enabled Infrastructures for Next Generation of Big Data Driven Cyber-Physical Systems?, Journal of Systems Architecture http://cyber-science.org/2022/assets/files/si/JSA_SI_0331.pdf 8. Special issue on ?Distributed and Collaborative Learning Empowered Edge Intelligence in Smart City?, ACM Transactions on Sensor Networks https://dl.acm.org/pb-assets/static_journal_pages/tosn/pdf/ACM_TOSN_CFP1210-1640635690003.pdf 9. Special issue on ?Robustness, Privacy, and Forensics in Intelligent Multimedia Systems? Information Science https://www.journals.elsevier.com/information-sciences/forthcoming-special-issues/robustness-privacy-and-forensics-in-intelligent-multimedia-systems * More special issues will be added later. http://www.ieee-smart-world.org/2022/pricomp/si.php ================== Organizing Committee ================== General Chairs - Fenghua Li, Institute of Information Engineering, CAS, China - Laurence T. Yang, Hainan University, China - Willy Susilo, University of Wollongong, Australia Program Chairs - Hui Li, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Local Chairs - Weidong Qiu, Shanghai Jiaotong University, China - Jieren Cheng, Hainan University, China Publicity Chairs - Bocheng Ren, Huazhong University of Science and Technology, China - Xin Nie, Huazhong University of Science and Technology, China - Peng Tang, Shanghai Jiao Tong University, China -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From shaileesjain at gmail.com Wed Aug 17 12:35:03 2022 From: shaileesjain at gmail.com (Shailee Jain) Date: Wed, 17 Aug 2022 09:35:03 -0700 Subject: Connectionists: CFP for MemARI Workshop @ NeurIPS'22 Message-ID: Hello! We invite submissions to the NeurIPS 2022 workshop on Memory in Artificial and Real Intelligence (MemARI). One of the key challenges for AI systems is to understand, predict, and model data over time. Pretrained networks should be able to temporally generalize, or adapt to shifts in data distributions that occur over time. Our current state-of-the-art (SOTA) still struggles to model and understand data over long temporal durations ? for example, SOTA models are limited to processing several seconds of video, and powerful transformer models are still fundamentally limited by their attention spans. By contrast, humans and other biological systems are able to flexibly store and update information in memory to comprehend and manipulate streams of input. How should memory mechanisms be designed in deep learning, and what can this field learn from biological memory systems? MemARI aims to facilitate progress on these topics by bringing together researchers from machine learning, neuroscience, reinforcement learning, computer vision, natural language processing and other adjacent fields. We invite submissions presenting new and original research on topics including but not limited to the following: 1. Computational models of biological memory 2. Role of different biological memory systems in cognitive tasks, with implications for AI algorithms/architectures 3. Biologically-inspired architectures to improve memory/temporal generalization 4. New approaches to improving memory in artificial systems 5. Domain-specific uses of memory mechanisms (for ex., for lifelong learning, NLP, RL etc.) 6. Empirical and theoretical analyses of limitations in current artificial systems 7. Datasets and tasks to evaluate memory mechanisms of artificial networks Important dates: - Paper submission deadline: Thu September 22nd, 2022 23:59 [Anywhere on Earth] - Decision Notification: Fri October 14th, 2022 [17:00 hrs PT] - Workshop date: Dec 2, 2022 in-person @ New Orleans Submission instructions: - Submission Portal: MemARI OpenReview (currently accepting submissions) - All submissions must be in PDF format. - Submissions are limited to four content pages, including all figures and tables; additional pages containing only references are allowed. - Please use the NeurIPS 2022 LaTeX style file . Style or page limit violations (e.g., by decreasing margins or font sizes) may lead to automatic rejection - All submissions should be anonymous. - Per NeurIPS guidelines, previously published work is not acceptable for submission. Reviewing process & Acceptance: - The review process is double-blind. - Accepted papers will be presented during a poster session, with spotlight oral presentations for exceptional submissions. (with accommodation for virtual attendees) - Accepted papers will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. Please direct questions and all future correspondence to memari-workshop at googlegroups.com. More information on the workshop can be found on the MemARI website . Organizers: Uri Hasson, Princeton University Ken Norman, Princeton University Alex Huth, UT Austin Mariya Toneva, MPI for Software Systems Shailee Jain, UT Austin Javier Turek, Intel Labs Vy Vo, Intel Labs Mihai Capot?, Intel Labs -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Wed Aug 17 10:54:39 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Wed, 17 Aug 2022 16:54:39 +0200 Subject: Connectionists: Professor position in Data Science at the University of Neuchatel, Switzerland Message-ID: There is a new position for a full professor in Data Science (widely interpreted) at the university of Neuchatel, Switzerland. Contact me for additional information, or apply here: https://www.unine.ch/files/live/sites/sciences/files/Emploi%20-%20annonces/PO_ou_PATT_data%20science_20.6.2022_ANG.pdf From sepand.haghighi at yahoo.com Wed Aug 17 13:14:34 2022 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Wed, 17 Aug 2022 17:14:34 +0000 (UTC) Subject: Connectionists: PyCM 3.6 Released: Machine learning library for confusion matrix statistical analysis References: <609933305.30253.1660756474357.ref@mail.yahoo.com> Message-ID: <609933305.30253.1660756474357@mail.yahoo.com> https://github.com/sepandhaghighi/pycm https://www.pycm.io http://list.pycm.io - Hamming distance added?#350 - Braun-Blanquet similarity added?#349 - classes?parameter added to?matrix_params_from_table?function - Matrices with?numpy.integer?elements are now accepted - Arrays added to?matrix?parameter accepting formats?#402 - Website changed to?http://www.pycm.io - Document modified - README.md?modified Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From hal3 at umd.edu Wed Aug 17 14:19:39 2022 From: hal3 at umd.edu (Hal Daume) Date: Wed, 17 Aug 2022 14:19:39 -0400 Subject: Connectionists: =?utf-8?q?Survey_Study_on_Sign_Language_Computati?= =?utf-8?q?on_using_Machine_Learning=E2=80=AF=E2=80=AF?= Message-ID: Hello! We are a team of researchers from MSR New England and New York. We are seeking participants (aged 18 or older) who have experience in machine learning or are interested in applying machine learning to developing computational models for signed languages for a survey study. The purpose of this project is to explore how machine learning practitioners can better build machine learning models for sign language computation (e.g., recognition/translation). We want to understand your general motivations in working with machine learning problems and expected challenges when newly working with sign language data and tasks. Please know that sign language knowledge or sign language computation experience is NOT required to participate in this project. *The survey can be found at **https://forms.office.com/r/7LPnkdTFLN along with a consent form for further details. For every submission of the survey, $10 will be donated to LEAD-K (Language Equity and Acquisition for Deaf Kids), up to the first 50 submissions.* The survey receives one submission per person. Once you agree to consent, you will be directed to the survey questions. It will take about 30 minutes to answer the questions, including your experience in machine learning and sign language computation (if any), understanding of sign language culture, and demographics such as your age or education level. Your responses will be anonymous, unless you choose to provide your name and email address for future contact where you will be invited to participate in a paid study to collaborate with American Sign Language experts. Your name and email address will never be shared outside of the research team. Please complete the survey by Tuesday, 8/23 and feel free to forward this to other colleagues who may be interested! Thank you so much for your consideration! Rie Kamikubo, Danielle Bragg, Alex Lu, Hal Daum? III -------------- next part -------------- An HTML attachment was scrubbed... URL: From damien.depannemaecker at cnrs.fr Wed Aug 17 16:57:58 2022 From: damien.depannemaecker at cnrs.fr (DEPANNEMAECKER Damien) Date: Wed, 17 Aug 2022 20:57:58 +0000 Subject: Connectionists: PhD Fellowship in Brazil In-Reply-To: References: Message-ID: ________________________________ De : DEPANNEMAECKER Damien Envoy? : jeudi 11 ao?t 2022 23:24:32 ? : connectionists-bounces at mailman.srv.cs.cmu.edu Objet : PhD Fellowship in Brazil Dear all, The Federal University of S?o Jo?o del-Rei, in Minas Gerais, Brazil is offering PhD fellowships for non-Brazilian students: https://ufsj.edu.br/assin/phd_selection_process_at_the_federal_uni.php If you are interested in applying for an experimental or computational neuroscience project, please contact: Antonio Carlos Almeida Antonio Marcio Rodrigues -------------- next part -------------- An HTML attachment was scrubbed... URL: From hideaki.shimazaki at gmail.com Wed Aug 17 21:54:09 2022 From: hideaki.shimazaki at gmail.com (Hideaki Shimazaki) Date: Thu, 18 Aug 2022 10:54:09 +0900 Subject: Connectionists: A postdoc position in image processing, machine learning, and neuroscience Message-ID: (Posted on behalf of Prof. Shin Ishii, Kyoto University, Japan) *Call for a postdoctoral researcher* A postdoc position is available in image processing, machine learning, and neuroscience. The objective of the new multi-year project is to understand the neural basis of behavior changes in humans/animals. We shall tackle the AI-based image processing technology for capturing body movements and characterizing possible changes in behaviors. We may also develop methods of analyzing neuronal co-activation from large-scale Ca imaging data or capturing brain waves from multichannel ECoG data. We are looking for a young researcher interested in working on one or some of these topics. The contract is yearly-basis and renewable *until March 31, 2027*. Workplace: Kyoto University, Kyoto, Japan A successful applicant should have a Ph.D. in computational neuroscience, machine learning, physics, applied mathematics, or engineering, but not limited to these. The applicant should demonstrate research experiences with a strong publication record. Programming skills in Python or willingness to learn it, will be valued. To apply, please send a CV with a publication list, a statement of research interests (maximum two pages), and contact information of one or two reference(s) to ishii-sec at sys.i.kyoto-u.ac.jp. Either English or Japanese is accepted. The starting date is flexible, while earlier arrival is appreciated. The salary and title follow the university rule and depend on the record/expertise of an appointed researcher. Please feel free to send me any informal questions regarding this post. Sincerely, Shin Ishii, Ph.D. Professor with Kyoto University, Kyoto, Japan Director with Advanced Telecommunication Research Institute International (ATR), Kyoto, Japan Email: ishii-sec at sys.i.kyoto-u.ac.jp Webpage: https://ishiilab.jp -------------- next part -------------- An HTML attachment was scrubbed... URL: From davy.weissenbacher at gmail.com Wed Aug 17 21:12:42 2022 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Wed, 17 Aug 2022 18:12:42 -0700 Subject: Connectionists: Deadline extension: #SMM4H'22, Social Media Mining for Health Applications - Workshop at COLING 2022 Message-ID: Due to multiple requests, we are *extending* the deadline to August 20, 2022 ============================= Last call for paper: submission deadline August 20, 2022 ============================= *Apologies if you received multiple copies of this CFP* Location: Gyeongju, Republic of Korea Workshop Date: October 16-17, 2022 Workshop link: https://healthlanguageprocessing.org/smm4h-2022/ Submission link: https://www.softconf.com/coling2022/7thSMM4H/ The workshop will include two components ? a standard workshop and a shared task Workshop The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index), invites 4-page paper (unlimited references in standard COLING format) submissions on original, unpublished research in all aspects at the intersection of social media mining and health. Topics of interest include, but are not limited to: Methods for the automatic detection and extraction of health-related concept mentions in social media Mapping of health-related mentions in social media to standardized vocabularies Deriving health-related trends from social media Information retrieval methods for obtaining relevant social media data Geographic or demographic data inference from social media discourse Virus spread monitoring using social media Mining health-related discussions in social media Drug abuse and alcoholism incidence monitoring through social media Disease incidence studies using social media Sentinel event detection using social media Semantic methods in social media analysis Classifying health-related messages in social media Automatic analysis of social media messages for disease surveillance and patient education Methods for validation of social media-derived hypotheses and datasets Shared task The workshop organizers this year are hosting 10 shared tasks i.e. NLP challenges as part of the workshop. Participating teams will be provided with a set of annotated posts for developing systems, followed by a three-day window during which they will run their systems on unlabeled test data and upload it to Codalab for evaluation. For additional details about the tasks and information about registration, data access, paper submissions, and presentations, go to https://healthlanguageprocessing.org/smm4h-2022/ Task 1 ? Classification, detection, and normalization of Adverse Events (AE) mentions in tweets (in English) Task 2 ? Classification of stance and premise in tweets about health mandates related to COVID-19 (in English) Task 3 ? Classification of changes in medication treatments in tweets and WebMD reviews (in English) Task 4 ? Classification of tweets self-reporting exact age (in English) Task 5 ? Classification of tweets containing self-reported COVID-19 symptoms (in Spanish) Task 6 ? Classification of tweets which indicate self-reported COVID-19 vaccination status (in English) Task 7 ? Classification of self-reported intimate partner violence on Twitter (in English) Task 8 ? Classification of self-reported chronic stress on Twitter (in English) Task 9 ? Classification of Reddit posts self-reporting exact age (in English) Task 10 ? Detection of disease mentions in tweets ? SocialDisNER (in Spanish) Organizing Committee Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA Davy Weissenbacher, Cedars-Sinai Medical Center, USA Arjun Magge, University of Pennsylvania, USA Ari Z. Klein, University of Pennsylvania, USA Ivan Flores, Cedars-Sinai Medical Center, USA Karen O?Connor, University of Pennsylvania, USA Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland Lucia Schmidt, Roche Pharmaceuticals, Switzerland Juan M. Banda, Georgia State University, USA Abeed Sarker, Emory University, USA Yuting Guo, Emory University, USA Yao Ge, Emory University, USA Elena Tutubalina, Insilico Medicine, Hong Kong Luis Gasco, Barcelona Supercomputing Center, Spain Darryl Estrada, Barcelona Supercomputing Center, Spain Martin Krallinger, Barcelona Supercomputing Center, Spain Program Committee Cecilia Arighi, University of Delaware, USA Natalia Grabar, French National Center for Scientific Research, France Thierry Hamon, Paris-Nord University, France Antonio Jimeno Yepes, Royal Melbourne Institute of Technology, Australia Jin-Dong Kim, Database Center for Life Science, Japan Corrado Lanera, University of Padova, Italy Robert Leaman, US National Library of Medicine, USA Kirk Roberts, University of Texas Health Science Center at Houston, USA Yutaka Sasaki, Toyota Technological Institute, Japan Pierre Zweigenbaum, French National Center for Scientific Research, France Contact All questions should be emailed to Davy Weissenbacher ( davy.weissenbacher at cshs.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.crimi at sanoscience.org Thu Aug 18 15:50:15 2022 From: a.crimi at sanoscience.org (Alex Crimi) Date: Thu, 18 Aug 2022 19:50:15 +0000 Subject: Connectionists: Postdoc position at BAMlab Message-ID: Dear all, we still have a Postdoc position working on structural/functional connectivity in Krakow at the BAMlab https://bam.sano.science/ If interested apply here even if the countdown says 0 https://sano.science/job-offers/sano-postdoc-machine-learning-for-neuroimaging/ Best, Alex -------------- next part -------------- An HTML attachment was scrubbed... URL: From akarargyris at gmail.com Fri Aug 19 11:19:30 2022 From: akarargyris at gmail.com (Alex Karargyris) Date: Fri, 19 Aug 2022 17:19:30 +0200 Subject: Connectionists: NeurIPS 2022 Gaze Meets ML Workshop Message-ID: Dear all, I am very excited to share that we will be organizing our new Gaze Meets ML workshop at NeurIPS 2022 (*in person*). We hope that this workshop will provide a unique opportunity to bring experts from various backgrounds (e.g. neuroscience, machine learning, computer vision, medical imaging, NLP, etc.) together to discuss ideas and ways to bridge human and machine attention that can help make machine learning more efficient. Please find more information in the Call for Papers below. Sincerely, Alexandros Karargyris on behalf of the organising committee ------------------------------ ***************************************************************** NeurIPS 2022 Gaze Meets ML Workshop ***************************************************************** *Webpage: https://gaze-meets-ml.github.io/ * *Submission site: https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/GMML * *Submission Deadline: September 22nd, 2022* *Date: December 3rd, 2022* *Location: New Orleans Convention Center, New Orleans, LA* ** Overview ** Eye gaze has proven to be a cost-efficient way to collect large-scale physiological data that can reveal the underlying human attentional patterns in real life workflows, and thus has long been explored as a signal to directly measure human-related cognition in various domains Physiological data (including but not limited to eye gaze) offer new perception capabilities, which could be used in several ML domains, e.g., egocentric perception, embodiedAI, NLP, etc. They can help infer human perception, intentions, beliefs, goals and other cognition properties that are much needed for human-AI interactions and agent coordination. In addition, large collections of eye-tracking data have enabled data-driven modeling of human visual attention mechanisms, both for saliency or scan path prediction, with twofold advantages: from the neuroscientific perspective to understand biological mechanisms better, from the AI perspective to equip agents with the ability to mimic or predict human behavior and improve interpretability and interactions. With the emergence of immersive technologies, now more than any time there is a need for experts of various backgrounds (e.g., machine learning, vision, and neuroscience communities) to share expertise and contribute to a deeper understanding of the intricacies of cost-efficient human supervision signals (e.g., eye-gaze) and their utilization towards by bridging human cognition and AI in machine learning research and development. The goal of this workshop is to bring together an active research community to collectively drive progress in defining and addressing core problems in gaze-assisted machine learning. ** Call for Papers ** We welcome submissions that present aspects of eye-gaze in regards to cognitive science, psychophysiology and computer science, propose methods on integrating eye gaze into machine learning, and application domains from radiology, AR/VR, autonomous driving, etc. that introduce methods and models utilizing eye gaze technology in their respective domains. Topics of interest include but are not limited to the following: - Understanding the neuroscience of eye-gaze and perception. - State of the art in incorporating machine learning and eye-tracking. - Data annotation and ML supervision with eye-gaze. - Attention mechanisms and their correlation with eye-gaze. - Methods for gaze estimation and prediction using machine learning. - Unsupervised ML using eye gaze information for feature importance/selection. - Understanding human intention and goal inference. - Using saccadic vision for ML applications. - Use of gaze for human-AI interaction and agent coordination in multi-agent environments. - Eye gaze used for AI, e.g., NLP, Computer Vision, RL, Explainable AI, Embodied AI, Trustworthy AI. - Gaze applications in cognitive psychology, radiology, neuroscience, AR/VR, autonomous cars, privacy, etc. ** Submission Guidelines ** Submissions must be written in English and must be sent in PDF format. Each submitted paper must be no longer than nine (9) pages, excluding appendices and references. Please refer to the NeurIPS2022 formatting instructions for instructions regarding formatting, templates, and policies. The submissions will be peer-reviewed by the program committee and accepted papers will be presented as lightning talks during the workshop. Submit your paper at https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/GMML before the *September 22 deadline*. ** Awards and Funding ** Possibly award prizes for best papers or cover registration fees of presenting authors with a focus on underrepresented minorities. ** Important dates for Workshop paper submission ** - Paper submission deadline: *September 22, 2022* - Notification of acceptance: *October 14, 2022* - Workshop: *December 3, 2022 (in person)* ** Organizing Committee ** Ismini Lourentzou (Virginia Tech) Joy Tzung-yu Wu (Stanford, IBM Research) Satyananda Kashyap (IBM Research) Alexandros Karargyris (IHU Strasbourg) Leo Antony Celi (MIT) Ban Kawas (Meta, Reality Labs Research) Sachin Talathi (Meta, Reality Labs Research) ** Contact ** Organizing Committee gaze.neurips at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Fri Aug 19 12:44:01 2022 From: nsmattei at gmail.com (Nicholas Mattei) Date: Fri, 19 Aug 2022 11:44:01 -0500 Subject: Connectionists: Call for Papers and Expressions of Interest: Thinking Fast and Slow and Other Cognitive Theories in AI Message-ID: Call for Papers and Expressions of Interest: Thinking Fast and Slow and Other Cognitive Theories in AI Submission and Expressions Deadline Extended to Aug 28, 2022! A AAAI Fall Symposium November 17-19, 2022 Symposium website: https://sites.google.com/view/aaai-fss22 Submission site: https://easychair.org/conferences/?conf=tfsoctai22 This AAAI fall symposium aims to be a meeting point for researchers of various disciplines investigating or developing frameworks inspired from the two-system theory of D. Kahneman or other cognitive theories of human decision making to advance AI. A non-exhaustive list of topics relevant for the Symposium follows: * System 1 and system 2 capabilities in AI and their dynamic refinement over time * Governance and coordination between AI system 1 and system 2 * Introspection and meta-cognition in agents? capabilities * General machine decision frameworks vs specific solutions * Leveraging cognitive theories of human reasoning to advance AI * The role of machine learning and reasoning, and their combination, in ethical machine decision making ** Format ** Given the multidisciplinary nature of the topic, the symposium encourages cross-fertilization among experts of various disciplines inside and outside AI. The program includes invited talks, short presentations of accepted papers, and panel discussions where panelists and participants will discuss specific topics in depth. Moreover, we plan to organize poster sessions to facilitate discussions between the authors and the other participants. ** Submissions ** We encourage academics, policy makers, and practitioners in the many disciplines relevant for the topics of this event to join this Symposium. Anyone interested must submit a max 2 page expression of their interest in the topic. Additionally, interested researchers that want to present their recent work should submit a paper of at most 8 pages, references included. Submissions can be technical papers, descriptions of use cases, lessons learnt, datasets or other resources. The submission format is the standard double-column AAAI Proceedings Style, which can be found at https://www.aaai.org/Publications/Templates/AuthorKit22. zip. The review process is single-blind. Submissions of both expressions of interest and papers should be done through this link: https://easychair.org/conferences/?conf=tfsoctai22 We plan to publish a collection of contributions after the Symposium including selected work from the event and possibly other contributions (another call will circulate later). ** Important Dates ** * Abstracts/Papers due: Aug 28, 2022 * Author Notification: Sept. 16, 2022 * Symposium: November 17-19, 2022 As all AAAI Symposia 2022, this is an in-person event. ** Organizing Committee ** * Marianna Ganapini, Union College, bergamam at union.edu * Lior Horesh, IBM Research, lhoresh at us.ibm.com * Andrea Loreggia, University of Brescia, andrea.loreggia at unibs.it * Nicholas Mattei, Tulane University, nsmattei at tulane.edu * Francesca Rossi, IBM Research, francesca.rossi2 at ibm.com * Biplav Srivastava, University of South Carolina, bi-plav.s at sc.edu * Brent Venable, University of South Florida and IHMC, brent.venable at gmail.com More Information * Contact: Andrea Loreggia (andrea.loreggia at unibs.it) * Website: https://sites.google.com/view/aaai-fss22 -- *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 cvernall at stanford.edu Sat Aug 20 14:51:15 2022 From: cvernall at stanford.edu (Carol S Vernallis) Date: Sat, 20 Aug 2022 18:51:15 +0000 Subject: Connectionists: Encounters with Partisan Media: Toward the 2022 Midterm Elections - Zoom panel - September 10th Message-ID: Encounters with Partisan Media: Toward the 2022 Midterm Elections The Society for Cinema and Media Studies Activist and Revolutionary Film and Media Special Interest Group, along with the SIGS on Media, Science, and Technology, and Sound and Music Studies, would like to invite Connectionists members to attend a zoom roundtable on partisan ?heated? media this September 10th at 11am PST. This panel aims to help us prepare for the Midterms and serve as a pitch for a new transdisciplinary volume, Cybermedia: Explorations in Science, Sound, and Vision (with Bloomsbury). The multidisciplinary panel, drawing from scholars in music, media studies, and neuroscience, as well as industry practitioners, will explore how these political texts operate within larger social contexts, how they work audiovisually, how they might encourage us to talk with people who hold different political views, and how to take action. Each presenter will speak for 15 minutes with some Q&A, and then the floor will be open for discussion. Below is a bit more about the roundtable and our presenters. September 10th 11 am PST: "News Bias and Affective Content on Social Media? Brian Knutson ? Stanford Department of Neuroscience https://stanford.edu/~knutson/ "The Illiberalism of Fox News: Theorizing nationalism and populism through Tucker Carlson Tonight" Reece Peck - College of Staten Island Department of Media Culture https://www.csi.cuny.edu/campus-directory/reece-peck "Intensified Audiovisuality in 2022 Political Ads" Carol Vernallis - Stanford Department of Music https://www.amazon.com/Carol-Vernallis/e/B001HOMUBK%3Fref=dbs_a_mng_rwt_scns_share https://music.stanford.edu/people/carol-vernallis Break September 10th 1 pm PST: "COVID-19 & Transnational Misinformation: Comparing Right-Wing Media Across the U.S.-Mexico Border? Harry Simon Salazar ? Muhlenberg College Department of Media and Communication https://www.muhlenberg.edu/academics/mediacom/facultystaff/harrylsimonsalazar/ https://harrysimonsalazar.net/ ?Hearing the Intimate Politics of Extremism: Music, Activism, and Reproductive Rights? Dana Gorzelany-Mostak - Georgia College https://www.gcsu.edu/artsandsciences/music/faculty-staff-department-of-music https://gcsu.academia.edu/DanaGorzelanyMostak/CurriculumVitae ?Neurocognition and Ideology: From Visual Biases to Polarization? Leor Zmigrod - Cambridge University - Behavioural and Clinical Neuroscience Institute https://www.neuroscience.cam.ac.uk/directory/profile.php?lz343 https://www.leorzmigrod.com/ Zoom link https://stanford.zoom.us/j/97072209796?pwd=NXpTS0JHOHo0VXBtOXY0NndnTTBKdz09 Password: 820475 Time: Sep 10, 2022, 11:00 AM Pacific Time (US and Canada) Or iPhone one-tap (US Toll): +18333021536, 97072209796# or +16507249799, 97072209796# Or Telephone: Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free) Meeting ID: 970 7220 9796 Password: 820475 International numbers available: https://stanford.zoom.us/u/adTOczvb90 Meeting ID: 970 7220 9796 Password: 820475 SIP: 97072209796 at zoomcrc.com Password: 820475 Email contact: cvernall at stanford.edu Carol Vernallis, Ph.D. Department of Music Stanford University Stanford, CA 94305 (650)326-1705 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Aug 20 10:32:53 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 20 Aug 2022 16:32:53 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Winter: early registration August 29 Message-ID: <710286286.948357.1661005973381@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: August 29, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Winter will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Winter is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] Statistical Relational and Neurosymbolic AI Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by January 8, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sat Aug 20 14:38:36 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sat, 20 Aug 2022 18:38:36 +0000 Subject: Connectionists: Call for Papers: IEEE BIBM-LncRNA'22: Workshop on Long Non-Coding RNAs In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ Paper submission deadline: Oct. 24, 2022 -- see below Call for Papers The IEEE BIBM 2022 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022), Dec. 6 - 9, 2022. Though the BIBM conference will be held in Las Vegas, NV, USA/ Changsha, Hunan, China the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Las Vegas, NV, USA/ Changsha, Hunan, China, and also in Dubai, UAE. BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ IEEE BIBM 2022: https://ieeebibm.org/BIBM2022/ The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs. Research topics: The potential topics include, but not limited to, the following: lncRNA detection and biomarker discovery CLIP-Seq and RIP-Seq data analysis Prediction of physical binding between lncRNA and DNA, RNA and protein. Competition and interaction between lncRNA, miRNA and mRNA Studying methylation regulating lncRNA functions Function Prediction for lncRNAs Deep learning approaches to lncRNA/RNA binding protein prediction Computational approaches to analyzing lncRNA lncRNA 3D secondary structures lncRNA-protein interactions lncRNA in epigenetic regulation lncRNA associated diseases network lncRNAs in plant genomics lncRNAs in phenotype-genotype problems lncRNAs and single cell transcriptomics lncRNAs and spatial transcriptomics CRISPR/Cas9 and Genome editing in lncRNAs We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals. Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. We aim at supporting at least one author for each accepted paper, depending on number of papers, and on availability of funds. Journal Special Issue: Authors of selected submissions may be invited to extend their papers for submission for review and possible publication in a special issue of a journal. The journal special issue for the 2021 workshop is currently open and is being published by the Non-Coding RNA. https://www.mdpi.com/journal/ncrna/special_issues/81CH217P14 Paper Submission: (Abstract, Short Paper, or Full Paper) Please submit your abstract (1 page), short paper (2 pages), or full-length paper (up to 8 pages in IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required. Click on this link to submit paper. Important Dates: Oct 24, 2022 11:59:59 PM WST: Due date for full workshop paper submission. Nov 10, 2022: Notification of paper acceptance to authors Nov 21, 2022: Camera-ready of accepted papers Dec 6-9, 2022: Workshops BIBM-LncRNA'22 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoenig at uos.de Fri Aug 19 11:01:44 2022 From: pkoenig at uos.de (=?UTF-8?Q?Peter_K=c3=b6nig?=) Date: Fri, 19 Aug 2022 17:01:44 +0200 Subject: Connectionists: =?utf-8?q?PhD_position_feelSpace/Cognitive_Scienc?= =?utf-8?q?e_University_Osnabr=C3=BCck?= Message-ID: PhD opportunity feelSpace GmbH/University Osnabr?ck in the EU Marie-Curie project OptiVis. Work in a great team and make blind people grasp. https://euraxess.ec.europa.eu/jobs/826171 The webpage states "filled", but it is not. https://optivist.eu/project-10 For more information contact Peter K?nig pkoenig at uos.de -- Prof. Dr. Peter K?nig, Institute of Cognitive Science, University Osnabr?ck From junfeng989 at gmail.com Sun Aug 21 22:42:25 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Sun, 21 Aug 2022 22:42:25 -0400 Subject: Connectionists: [Deadline Approaching] The 8th IEEE International Conference on Privacy Computing [**10+ Special Issues**] Message-ID: The 8th IEEE International Conference on Privacy Computing (PriComp 2022) [10+ Special Issues] Dec. 15-18, Haikou, China [Submission Deadline: Sep. 1] http://www.ieee-smart-world.org/2022/pricomp/ PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi'an, Shanghai, China (online, 2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. ================== Special Issues ================== All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in SCI & EI indexed prestigious journals. 1. Special issue on ?Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation?, IEEE Transactions on Computational Social Systems http://cyber-science.org/2022/assets/files/si/220412_IEEE%20TCSS_SI.pdf 2. Special issue on ?Responsible AI in Social Computing?, IEEE Transactions on Computational Social Systems https://www.ieeesmc.org/images/publications/pdfs/Call_for_Paper_-_SI_on_Responsible_AI_in_Social_Computing.pdf 3. Special issue on ?Decentralized Trust Management with Intelligence?, Information Science https://www.journals.elsevier.com/information-sciences/call-for-papers/decentralized-trust-management-with-intelligence 4. Special issue on ?Resource Sustainable Computational and Artificial Intelligence?, IEEE Transactions on Emerging Topics in Computational Intelligence 5. Special issue on ?Smart Blockchain for IoT Trust, Security and Privacy?, IEEE IoT Journal https://ieee-iotj.org/wp-content/uploads/2022/05/IEEEIoT-SmartBlockchain-TSP.pdf 6. Special issue on ?Edge Computing Optimization and Security?, Journal of Systems Architecture https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/edge-computing-optimization-and-security-vsi-edgeos2022 7. Special issue on ?Distributed Learning and Blockchain Enabled Infrastructures for Next Generation of Big Data Driven Cyber-Physical Systems?, Journal of Systems Architecture http://cyber-science.org/2022/assets/files/si/JSA_SI_0331.pdf 8. Special issue on ?Distributed and Collaborative Learning Empowered Edge Intelligence in Smart City?, ACM Transactions on Sensor Networks https://dl.acm.org/pb-assets/static_journal_pages/tosn/pdf/ACM_TOSN_CFP1210-1640635690003.pdf 9. Special issue on ?Robustness, Privacy, and Forensics in Intelligent Multimedia Systems? Information Science https://www.journals.elsevier.com/information-sciences/forthcoming-special-issues/robustness-privacy-and-forensics-in-intelligent-multimedia-systems * More special issues will be added later. http://www.ieee-smart-world.org/2022/pricomp/si.php ================== Organizing Committee ================== General Chairs - Fenghua Li, Institute of Information Engineering, CAS, China - Laurence T. Yang, Hainan University, China - Willy Susilo, University of Wollongong, Australia Program Chairs - Hui Li, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Local Chairs - Weidong Qiu, Shanghai Jiaotong University, China - Jieren Cheng, Hainan University, China Publicity Chairs - Bocheng Ren, Huazhong University of Science and Technology, China - Xin Nie, Huazhong University of Science and Technology, China - Peng Tang, Shanghai Jiao Tong University, China ================== Important Dates ================== Workshop Proposal: July 15, 2022 Paper Submission: September 01, 2022 Author Notification: October 01, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: December 15-18, 2022 ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy metrics and formalization - Privacy taxonomies and ontologies - Privacy information management and engineering - Privacy operation and modeling - Data utility and privacy loss - Cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Internet and web privacy - Cloud privacy - Social media privacy - Mobile privacy - Location privacy - IoT privacy - Behavioral advertising - Privacy in large ecosystems such as smart cities - Privacy of AI models and systems - AI for privacy computing - Privacy and blockchain - User-centric privacy protection solutions - Human factors in privacy computing - Privacy nudging - Automated solutions for privacy policies and notices - Legal issues in privacy computing and other interdisciplinary topics ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N29960) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From vasenka at gmail.com Sun Aug 21 23:36:27 2022 From: vasenka at gmail.com (Vasily Vakorin) Date: Sun, 21 Aug 2022 20:36:27 -0700 Subject: Connectionists: Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts) Message-ID: Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts). Several fully-funded Ph.D. positions are available at Simon Fraser University (Vancouver, Canada), at the Department of Biomedical Physiology and Kinesiology and the School of Engineering Science. Ph.D. candidates will focus on research in neurophysiology, such as electroencephalography (EEG) and magnetoencephalography (MEG), and machine learning to study clinical populations. One of the large-scale projects is based on an extensive dataset of routine clinical EEG recorded and evaluated in the process of a diagnostic workup at four local public hospitals. The data include EEG scans and corresponding EEG reports (written impressions of the visual analysis of the EEG, which was done by neurologists). One Ph.D. project will use EEG recordings to predict clinically-relevant labels. The other project will apply natural language processing (NLP) tools to develop models for extracting labels from EEG reports. For more information, please contact Dr. Sam Doesburg or Dr. Vasily Vakorin: https://www.bcni-sfu.net . If you are interested, please send your cover letter and CV to vvakorin at sfu.ca . Please name the attached files according to the format: Lastname_Firstname_cv.pdf and Lastname_Firstname_coverletter.pdf . Thank you, Vasily Vakorin, Ph.D. Scientist & NeuroInformatics Lead - Behavioral & Cognitive Neuroscience Institute Adjunct Professor - Biomedical Physiology & Kinesiology Simon Fraser University, British Columbia, Canada Affiliated Researcher - Fraser Health Authority, British Columbia Email: vvakorin at sfu.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From gros at itp.uni-frankfurt.de Mon Aug 22 05:36:34 2022 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Mon, 22 Aug 2022 11:36:34 +0200 Subject: Connectionists: Open PhD position at the Goethe University Frankfurt / Germany Message-ID: <3b79e-63034e00-141-462aa800@245327535> I would like to brink your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, game theory, dynamical systems. Application deadline: October 30, 2022 Contact: Prof. Claudius Gros, cgr[@]itp.uni-frankfurt.de We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as investigations of the 'tragedy of the commons'. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences and dynamical systems theory is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start late 2022 / early 2023, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros ------------------------------------- The Johann Wolfgang Goethe University Frankfurt am Main is with over 46,000 students and around 4,600 employees one of the largest universities in Germany. Founded in 1914 by Frankfurt citizens and again in the legal form of a foundation since 2008, the Goethe University has a high level of independence, modernity and professional diversity. As a comprehensive university, the Goethe University Frankfurt offers and has 100 degree programs on five campuses in a total of 16 departments an outstanding research strength. The time limit for academic staff is based on the provisions of the Academic Term Contract Act in conjunction with the Hessian Higher Education Act. The university advocates equal rights for women and men and therefore encourages women to apply. Disabled applicants with equal qualification will be given preferential consideration. ### ### 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 mail at mkaiser.de Mon Aug 22 12:52:11 2022 From: mail at mkaiser.de (Marcus Kaiser) Date: Mon, 22 Aug 2022 17:52:11 +0100 Subject: Connectionists: Faculty research fellowships ('tenure-track') available at the University of Nottingham Message-ID: Dear all, [x] independent faculty position [x] tenure-track [x] start-up funding [x] childcare support Our call for Nottingham Research Fellowships is now out! We have two schemes, each offering the same package of support: - *Anne McLaren Fellowships* are aimed at outstanding female postdoctoral researchers in science, technology, engineering and medicine, who are at the early stage of their academic careers and wish to establish a research career in the UK - *Nottingham Research Fellowships* are aimed at outstanding postdoctoral researchers who are at the early stage of their academic careers from all academic disciplines represented at the university Find out more and apply before 6 October at: https://www.nottingham.ac.uk/research/researchwithus/fellowships/nottingham/index.aspx Nottingham ?the home of MRI? offers an excellent environment for imaging ( https://www.nottingham.ac.uk/research/beacons-of-excellence/precision-imaging/ and https://www.nottingham.ac.uk/research/groups/spmic/index.aspx ), is pioneering the use of neurotechnology for brain disorders ( http://mindtech.org.uk/ ), hosts the Institute of Mental Health ( https://www.institutemh.org.uk ), and has a large group of faculty members including four full professors (Stephen Coombes, Mark van Rossum, Mark Humphries, Marcus Kaiser) in the area of computational/mathematical neuroscience. Please contact me if you want to find out more about how your research might fit in with our priorities of connectomics, brain stimulation, neurotechnology, neuroimaging, and computational/mathematical neuroscience. Best, Marcus -- *Marcus Kaiser, Ph.D. FRSB* @ConnectomeLab *Professor of Neuroinformatics* *Precision Imaging Beacon, School of Medicine, University of Nottingham* Guanci Visiting Professor Rui Jin Hospital, Shanghai Jiao Tong University, China Book: Changing Connectomes http://tiny.cc/connectome Lab website: http://www.dynamic-connectome.org/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Tue Aug 23 17:19:05 2022 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Tue, 23 Aug 2022 17:19:05 -0400 Subject: Connectionists: Call for participation in Online Asian Machine Learning School 2022 Message-ID: Dear all, We invite applications to attend the Online Asian Machine Learning School (OAMLS), which is a part of the Asian Conference on Machine Learning (ACML) 2022 and will be held from December 8-10 and December 15-16, 2022, with ACML held in between from December 12-14. By participating in OAMLS, you will have the opportunity to: ? Learn from and engage with top experts in the field. OAMLS offers an invaluable chance to study fundamentals of machine learning as well as state-of-the-art advances from our invited speakers. ? OAMLS provides a great networking opportunity to meet like-minded individuals who share your passion for machine learning, data science, and artificial intelligence. ? You may want to attend ACML 2022, which is held in a hybrid format in conjunction with the school. Speakers: ? Kun Zhang , Carnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) ? Leslie Kaelbling , Massachusetts Institute of Technology ? Arthur Gretton , University College London ? Petar Veli?kovi? , Deep Mind ? Mijung Park, University of British Columbia ? Masaaki Imaizumi, The University of Tokyo ? C V Jawahar, International Institute of Information Technology, Hyderabad ? Chiranjib Bhattacharyya, India Institute of Science, Bangalore ? Swabha Swayamdipta, USC Viterbi School of Engineering ? Pin-Yu Chen, IBM Research We aim to have 200 strongly motivated and engaged participants in this event. We encourage applications from the Asia-Pacific region, although we open applications to anyone in the world provided that they will be able to attend the event which will be held in Asian time zones (daytime in Hyderabad, where ACML will be held). No deep experience of machine learning is needed to apply, but participants are assumed to have some basic knowledge of programming, statistics, and machine learning. We will provide recommended background materials for those who are selected to ensure that everyone has the required knowledge to benefit from the event. The school is online, so there is no need to be able to travel to participate. Please apply at https://www.acml-conf.org/2022/cfoamls.html. Submitting an application is free of charge. We ask for a small registration fee for accepted participants. The application deadline is on October 3, 2022. Contact: oamls2022-team at googlegroups.com. Thank you, The OAMLS 2022 team -------------- next part -------------- An HTML attachment was scrubbed... URL: From ashutosh at coli.uni-sb.de Tue Aug 23 12:25:52 2022 From: ashutosh at coli.uni-sb.de (Ashutosh Modi) Date: Tue, 23 Aug 2022 21:55:52 +0530 Subject: Connectionists: [CFP] SemEval-2023 Task 6: LegalEval: Understanding Legal Texts - First Call for Participation Message-ID: Hi All, We invite you to participate in SemEval-2023 Task 6: LegalEval: Understanding Legal Texts *Task Website: *https://sites.google.com/view/legaleval/ *Registration: *https://forms.gle/uoeRrqjcYLnae5Ls6 In populous countries (e.g., India), pending legal cases have grown exponentially. Due to the nature of the legal domain, it may not be possible to automate the entire judicial pipeline completely; nevertheless, many intermediate tasks can be automated to augment legal practitioners and hence expedite the system. However, legal texts are different from commonly occurring texts typically used to train NLP models which make it difficult to apply existing NLP models and techniques directly, which calls for the development of legal domain-specific techniques. We are proposing 3 shared subtasks which will act as building blocks in developing legal AI applications: (A) Rhetorical Roles (RR): Structuring unstructured legal documents into semantically coherent units (B) Legal Named Entity Recognition (L-NER): Identifying relevant entities in a legal document (C) Court Judgement Prediction with Explanation (CJPE): Predicting the outcome of a case along with an explanation Participants can take part in one or more subtasks. *Shared task schedule:* - Training data ready: September 1, 2022 - Evaluation data ready: December 15, 2022 - Evaluation start: January 10, 2023 - Evaluation end: by January 31, 2023 - System description paper submissions due: February 23, 2023 - Notification to authors: March 31, 2023 *Task organizers* - *Prathamesh Kalamkar * - *Saurabh Karn* - *Smita Gupta * - *Sachin Malhan* - *Vivek Raghavan* - *Shouvik Guha* - *Ashutosh Modi* Please reach out to the organizers at: legalaieval at gmail.com Thank you, Ashutosh --------------------------------------------------------- Dr. Ashutosh Modi Assistant Professor Dept. of Computer Science and Engineering (CSE) Indian Institute of Technology, Kanpur (IITK) W: https://www.cse.iitk.ac.in/users/ashutoshm/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rune2earth at gmail.com Tue Aug 23 03:55:07 2022 From: rune2earth at gmail.com (Rune Berg) Date: Tue, 23 Aug 2022 09:55:07 +0200 Subject: Connectionists: Open positions: Associate professor Fully funded permanent (tenured) at University of Copenhagen Message-ID: Dear all We have two open positions at the Department of neuroscience, University of Copenhagen: 1) The position as permanent Associate Professor of Neuroscience is now online. Application Deadline is 15-09-2022. For more information please go here: https://jobportal.ku.dk/videnskabelige-stillinger/?show=157187 2) The five-year position as Associate Professor of Movement Neuroscience and Neuro-Rehabilitation. Application Deadline is 13-09-2022. For more information please See here: https://jobportal.ku.dk/videnskabelige-stillinger/?show=157166 Best, Rune ---------------------------- Rune W. Berg, PhD, Associate Professor University of Copenhagen Department of Neuroscience, DENMARK Tel: (+45) 26 97 73 94 Email: pgj142 at ku.dk Twitter: RuneWBerg www.berg-lab.net https://in.ku.dk/research/berg-lab/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From arturodeza at gmail.com Tue Aug 23 14:41:20 2022 From: arturodeza at gmail.com (Arturo Deza) Date: Tue, 23 Aug 2022 14:41:20 -0400 Subject: Connectionists: [Call for Papers] Shared Visual Representations in Human and Machine Intelligence (SVRHM 2022 @ NeurIPS) Message-ID: Dear General Vision Sciences & Engineering communities, The goal of the *Fourth Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM) at NeurIPS 2022 *is to discuss and disseminate relevant findings and parallels between the computational neuro/cognitive science and machine learning/artificial intelligence communities. In the past few years, machine learning tools ? especially deep neural networks ? have permeated the vision/cognitive/neuroscience communities to become the leading computational models that describe many cognitive tasks. Huge strides are also being made in the machine learning/artificial intelligence community with biologically inspired algorithms providing large efficiency gains in both computational and learning capabilities. However, many mysteries remain with regards to the alignment of human and machine perception, and there are cases where we see divergent rather than convergent representations. To resolve such questions, this workshop aims to bring fruitful discussions between scientists and engineers with multi-disciplinary backgrounds to review the recent progress in shared visual representations in both humans and machines, and in doing so identifying road-blocks and areas of interest to further accelerate the growth of both fields. The workshop will include a series of talks and panel discussions from a diverse group of speakers from both industry and academia who will share their research at the intersection of humans and machines that pushes the field of vision forward. The aim of our Call for Papers is to bring together scientists and engineers to *share their work in progress at the Poster Session* that are applicable to the scope of the Workshop. *This year in SVRHM, the 6 highest scoring papers will also be awarded an Oral Presentation entry in the program.* *The following areas provide a sense of suitable topics for 4 to 5 page paper submissions:* - Biological inspiration and inductive bias in vision - Human-relevant strategies for robustness and generalization - New datasets (e.g., for comparing humans/animals and machines) - Biologically-driven self-supervision - Perceptual invariance and metamerism - Biologically-informed strategies to mitigate adversarial vulnerability - Foveation, active perception, and attention models - Intuitive physics - Biologically inspired Generative Models - Perceptual and cognitive robustness - Nuances and noise in perceptual and cognitive systems - Creative problem-solving - Differences and similarities between humans and deep neural networks - Canonical computations in biological and artificial systems - Alternative architectures for deep neural networks - Reverse engineering of the human visual system via deep neural networks - *New:* Biologically-inspired Applications to Augmented and/or Virtual Reality - *New:* Understanding of novel hand-engineered models e.g. Transformers and Capsule Networks - *New:* Computational Aesthetics/Memorability/Humor/Virality We will be awarding a new NVIDIA Titan GPU as the AI Best Paper Award, and depending on the levels of attendance will also provide reimbursements for first authors of accepted papers (to be confirmed), in addition to a tentative evening reception. Link to the workshop with additional details for the Call for Papers: https://www.svrhm.com https://www.svrhm.com/call-for-papers Link to Paper workshop submission: https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/SVRHM *The submission deadline is September 22nd, 11.59pm PST, 2022.* *Paper Acceptance:* There will be no cap on paper acceptance percentage and our criteria for acceptance will continue to be to accept all papers with an average (1-10) *score of 5.5 and above*. This strict cut-off removes many conflicts of interest in addition to further discussion windows that due to the time horizon are not possible. Note: Paper And Reviewing standards are still very high and there is currently an approximate 60% acceptance rate with very high quality works that are later published in Tier-1 venues. *Reviewing:* If you are interested in becoming a Reviewer and have published/reviewed for this or similar venues before, please feel free to contact us as we are aiming for providing 3-4 reviews per submitted paper, where each reviewer will review no more than 2 papers. We are also continually looking for more sponsors that may provide Best Paper or Best Reviewer Awards. If you are interested in getting involved, let us know. All questions & inquiries regarding the workshop should be sent to: svrhm2022 at gmail.com , our Twitter account: @svrhm_workshop (preferred) and/or by directly contacting any of the organizers. *The workshop will happen *in-person* this year on December 2nd 2022 in New Orleans, Louisiana; USA. Virtual Attendance options will also be provided.* Looking forward to seeing you all! Sincerely, The Organizers Arturo Deza, Joshua Peterson, Apruva Ratan Murty, Tom Griffiths *The SVRHM workshop is currently sponsored by MIT?s Center from Brains, Minds and Machines (CBMM), the National Science Foundation (NSF), Artificio & NVIDIA.* -- Arturo Deza, Ph.D. PostDoctoral Research Associate Center for Brains, Minds and Machines Massachusetts Institute of Technology https://cbmm.mit.edu/about/people/deza -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Tue Aug 23 23:05:40 2022 From: bwyble at gmail.com (Brad Wyble) Date: Tue, 23 Aug 2022 23:05:40 -0400 Subject: Connectionists: Neuromatch Conference 2022, Submission deadline Sept 5, conference Sept 27-28 Message-ID: *Hello all,* After four conferences, Neuromatch is pleased to be holding our fifth. Each of our conferences has led the way in providing new innovations to the virtual conference space, and with this one we are consolidating successful initiatives from past editions. The scope of NMC2022 includes computational neuroscience and machine learning work that has a biological link. Registration costs are set at 15 USD to cover technical costs, and if this is a difficulty, the fee can be waived without questions. Each of our conferences has led the way in providing new innovations to the virtual conference space, and this year we are excited to offer you: - This year, all talks will be provided with a DOI for a permanent identification of your contribution presented at NMC2022. - The main talks will be hosted on Crowdcast. Instead of posters, we offer flash talks (brief pre-recorded videos), and dedicated meet up times for discussion within Reddit. - A new edition of NMC for kids: a special session of talks for a younger audience and the young at heart interested in neuroscience, plus a new ?Escape Room? experience. - Last year, we pioneered a new mechanism to connect talks in the conference to corresponding preprints on bioRxiv and medRxiv, and we will provide links to preprints on other platforms such as OSF preprints as well. Read more at http://conference.neuromatch.io/ Important dates: - September 5, 2022: Abstract submission deadline - September 7, 2022: Abstract acceptance and live talk selection news - September 22, 2022: Video submission deadline for flashtalks - September 27 - 28, 2022: NMC 2022 Each of the two conference days will have two sessions, each of which is 4 hours long. Here are the hours for each of the sessions, as they would occur across five time zones from around the world: We look forward to seeing you at NMC 2022! All the best, Neuromatch Conference Organizing Committee -- Brad Wyble Professor of Psychology Penn State University -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Tue Aug 23 23:26:48 2022 From: doya at oist.jp (Kenji Doya) Date: Wed, 24 Aug 2022 03:26:48 +0000 Subject: Connectionists: Call for Visiting Scholars in Theoretical Sciences at OIST (Application by September 30) In-Reply-To: <5086B636-4207-4F8C-9C8E-F6E20EA575B3@oist.jp> References: <5086B636-4207-4F8C-9C8E-F6E20EA575B3@oist.jp> Message-ID: <417150A9-3D27-4899-939C-FE7459903653@oist.jp> We are pleased to call for Visiting Scholars in Theoretical Sciences at Okinawa Institute of Science and Technology, including a new Thematic Program with a symposium. Please check the links below and apply by September 30, 2022. We strongly encourages applications from women and other underrepresented groups. 1) First Call for Thematic Program Pre-Proposals https://groups.oist.jp/tsvp/proposal-thematic-programs We are excited to launch Thematic Activity as new part of the TSVP, with an open call for pre-proposals. Thematic Programs (TPs) are expected to be held at OIST for 2 weeks to 3 months, starting in the second half of 2023. TPs will be hosted by a group of two or more researchers (coordinators) who will be invited to stay at OIST for the duration of the TP. Successful proposals will be provided with the financial and administrative support needed to bring participants to OIST, 4-8 of whom are expected to be present at any one time. Where it fits the goals and timeframe of the program, a symposium linked to the program can be hosted at OIST. While the scope of the Thematic Program should be theoretical, a diverse base of participants is encouraged, which may include experimental scientists. 2) Open Call for Visiting Scholars FY2023 https://groups.oist.jp/tsvp/application-visiting-scholars Visiting Scholars have been arriving through the TSVP since March 2022, and now we are starting the call for FY2023 (April 2023-March 2024). Visiting Scholars will have the opportunity to carry out independent research at OIST, and to interact with one or more OIST Research Units during their stay. Visits will usually be of 3 to 12 months, with support provided for travel, accommodation and living expenses at the level of per diem. In exceptional situations, where the applicant does not receive any salary from grants or their institution at the time of their visit to OIST, successful candidates may be able to apply for support with salary. Visits of 1 to 3 months may also be approved where special circumstances prevent a longer visit. ---- Kenji Doya > Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu -------------- next part -------------- An HTML attachment was scrubbed... URL: From chr.tremm at gmail.com Tue Aug 23 12:15:00 2022 From: chr.tremm at gmail.com (chr.tremm at gmail.com) Date: Tue, 23 Aug 2022 17:15:00 +0100 Subject: Connectionists: 3 Research fellow/postdoc positions in Interactive Technologies for Health Resilience Message-ID: <000901d8b70b$7eedda30$7cc98e90$@gmail.com> Three research fellow positions are available at the University of Southampton. If you have a PhD in Computer Science, Electronics, Engineering or related with human centred design focus then join the WellthLab. Core projects you'd be engaged on: * Elder Athletes and Incidental Interaction (priority project) - How to design interactions to help elders use daily strength moves, like standing, reaching, grabbing, pulling to build the strength needed to make life easier and have independence sustained longer - without getting in a person's way, or making anyone feel ordered about? Our mission: eliminate frailty. Our approach in this EPSRC project? incidental interaction. Researchers will be meeting with a host of partners from NHS to industry. * Synthesising co-presence - COVID let us know the power of online meetings, but also their limitations. What makes in-person interaction more intimate and challenging than online meetings? What signals and qualities in human-to-human interaction might we synthesise to create better quality interaction when remote? As Our mission: improve virtually mediated creativity; help eliminate loneliness? * Non-visual Augmented Reality for Learning in Context - Movement and memory go together. How can we leverage and augment movement over and through our environment to build new skills - from second language acquisition, to social interaction. How use computational augmentation - in other modes than vision - to help us build knowledge, skills and practice to learn how to thrive without reliance on that technology? * Future of Healthful Work - Is the future of work only hybrid working? Is it just being sedentary in different places? What does truly healthful work look and feel like? And what are the interactive technologies that will support it? What if instead of "smart watches" telling us to stand up from time to time, our work had healthful practices wired in - no reminders required because it was healthful out of the box? Instead of having to "exercise" to recover from the strains of work, what if great healthful work eliminated the need for "exercise"? What would the role of interactive technologies be? And what would be the methodologies of their interactions? Take a look at our Experiment in a Box paper for examples. For more details on the job offers check: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1937822FP If you have any questions, please contact prof m.c. schraefel directly at hrit-rf at nopain2.org Dr. Christoph Tremmel Research Fellow at the WellthLab Electronics and Computer Science University of Southampton -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Wed Aug 24 11:39:37 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Wed, 24 Aug 2022 11:39:37 -0400 Subject: Connectionists: [Deadline Approaching][Hybrid/Virtual Conference][10+ Special Issues] The 8th IEEE International Conference on Privacy Computing Message-ID: CFP: The 8th IEEE International Conference on Privacy Computing (PriComp 2022) [10+ Special Issues][Hybrid/Virtual Conference][Deadline Approaching] Dec. 15-18, Haikou, China [Submission Deadline: Sep. 1] http://www.ieee-smart-world.org/2022/pricomp/ ****PriComp 2022 supports Virtual Conference for foreign authors out of China [Hybrid/Virtual Conference].**** PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi'an, Shanghai, China (online, 2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. ================== Special Issues ================== All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in SCI & EI indexed prestigious journals. 1. Special issue on ?Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation?, IEEE Transactions on Computational Social Systems http://cyber-science.org/2022/assets/files/si/220412_IEEE%20TCSS_SI.pdf 2. Special issue on ?Responsible AI in Social Computing?, IEEE Transactions on Computational Social Systems https://www.ieeesmc.org/images/publications/pdfs/Call_for_Paper_-_SI_on_Responsible_AI_in_Social_Computing.pdf 3. Special issue on ?Decentralized Trust Management with Intelligence?, Information Science https://www.journals.elsevier.com/information-sciences/call-for-papers/decentralized-trust-management-with-intelligence 4. Special issue on ?Resource Sustainable Computational and Artificial Intelligence?, IEEE Transactions on Emerging Topics in Computational Intelligence 5. Special issue on ?Smart Blockchain for IoT Trust, Security and Privacy?, IEEE IoT Journal https://ieee-iotj.org/wp-content/uploads/2022/05/IEEEIoT-SmartBlockchain-TSP.pdf 6. Special issue on ?Edge Computing Optimization and Security?, Journal of Systems Architecture https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/edge-computing-optimization-and-security-vsi-edgeos2022 7. Special issue on ?Distributed Learning and Blockchain Enabled Infrastructures for Next Generation of Big Data Driven Cyber-Physical Systems?, Journal of Systems Architecture http://cyber-science.org/2022/assets/files/si/JSA_SI_0331.pdf 8. Special issue on ?Distributed and Collaborative Learning Empowered Edge Intelligence in Smart City?, ACM Transactions on Sensor Networks https://dl.acm.org/pb-assets/static_journal_pages/tosn/pdf/ACM_TOSN_CFP1210-1640635690003.pdf 9. Special issue on ?Robustness, Privacy, and Forensics in Intelligent Multimedia Systems? Information Science https://www.journals.elsevier.com/information-sciences/forthcoming-special-issues/robustness-privacy-and-forensics-in-intelligent-multimedia-systems * More special issues can be found at: http://www.ieee-smart-world.org/2022/pricomp/si.php ================== Important Dates ================== Workshop Proposal: July 15, 2022 Paper Submission: September 01, 2022 Author Notification: October 01, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: December 15-18, 2022 ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N29960) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Fenghua Li, Institute of Information Engineering, CAS, China - Laurence T. Yang, Hainan University, China - Willy Susilo, University of Wollongong, Australia Program Chairs - Hui Li, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Local Chairs - Weidong Qiu, Shanghai Jiaotong University, China - Jieren Cheng, Hainan University, China Publicity Chairs - Bocheng Ren, Huazhong University of Science and Technology, China - Xin Nie, Huazhong University of Science and Technology, China - Peng Tang, Shanghai Jiao Tong University, China ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy metrics and formalization - Privacy taxonomies and ontologies - Privacy information management and engineering - Privacy operation and modeling - Data utility and privacy loss - Cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Internet and web privacy - Cloud privacy - Social media privacy - Mobile privacy - Location privacy - IoT privacy - Behavioral advertising - Privacy in large ecosystems such as smart cities - Privacy of AI models and systems - AI for privacy computing - Privacy and blockchain - User-centric privacy protection solutions - Human factors in privacy computing - Privacy nudging - Automated solutions for privacy policies and notices - Legal issues in privacy computing and other interdisciplinary topics -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From wingated at cs.byu.edu Wed Aug 24 18:50:31 2022 From: wingated at cs.byu.edu (David Wingate) Date: Wed, 24 Aug 2022 16:50:31 -0600 Subject: Connectionists: Tenure-track professor of data science at BYU Message-ID: Brigham Young University is expanding and developing new programs in data science. Applications are invited for a tenure-track position to begin in as early as August 2023. Data science faculty may have training and research experience in any science or mathematical discipline. They will develop a research program that incorporates data science as a core effort. Data science faculty will teach and develop data science courses. Research mentoring of both graduate and undergraduate students is an essential component. Depending on their research focus and background, data science faculty will join one of the departments within the College of Physical and Mathematical Sciences (Computer Science, Mathematics, Statistics, Physics & Astronomy, Chemistry, or Geology). Starting rank and salary will be commensurate with qualifications and experience. The college has a strong commitment to undergraduate education and has substantial graduate programs. All qualified candidates, including women and members of underrepresented groups, are encouraged to apply. Applications will be accepted until October 1, 2022. Interested applicants should reach out directly to David Wingate ( wingated at cs.byu.edu). Additional information and application instructions are available here. Applicants should submit the following: cover letter, curriculum vitae, names of at least three recommenders (one of whom can address teaching ability), and a research statement or plan. The cover letter should address how you see yourself fitting in at BYU and courses that you might teach in data science. Qualifications: Ph.D. in science or mathematics and relevant research experience incorporating data science; demonstrated excellence in teaching; demonstrated ability to conduct high-quality research. Duties and responsibilities: Teaching data science courses and other department courses at the undergraduate and graduate level; conducting independent research; mentoring students at the graduate and undergraduate level; supporting university, college, and department goals and missions. BYU is an equal opportunity employer. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed Aug 24 21:35:27 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 25 Aug 2022 01:35:27 +0000 Subject: Connectionists: Call for Nominations: Neural Networks Best Paper Award Message-ID: Please see this year's Call for Nominations with the deadline of Sept. 30: https://www.journals.elsevier.com/neural-networks/announcements/call-for-nominations-neural-networks-best-paper-award-2022 Information about the award is given below: https://www.journals.elsevier.com/neural-networks/news/neural-networks-best-paper-award Thanks, Taro Toyoizumi and DeLiang Wang Co-Editors-in-Chief, Neural Networks -------------- next part -------------- An HTML attachment was scrubbed... URL: From peter.andras.sci at gmail.com Thu Aug 25 09:17:47 2022 From: peter.andras.sci at gmail.com (Peter Andras) Date: Thu, 25 Aug 2022 14:17:47 +0100 Subject: Connectionists: Full Professor in AI and ML In-Reply-To: References: Message-ID: Professor in Artificial Intelligence and Machine learning, Full time, PermanentEdinburgh Napier University https://www.jobs.ac.uk/job/CRQ562/professor-in-artificial-intelligence-and-machine-learning-full-time-permanent Edinburgh Napier University is the ?#1 Modern University in Scotland?. An innovative, learner centric university with a modern and fresh outlook, Edinburgh Napier is ambitious, inclusive in its ethos and applied in its approach. Edinburgh Napier University?s phenomenal results from the Research Excellence Framework (2021) are testament to our growing strength and capability as a research institution. These results, alongside our consistently positive National Student Survey results and sustained high levels of graduate employability, demonstrate the increasing impact of Edinburgh Napier's collective work, quality and commitment. REF 2021 assessed 68% of our research as either ?world-leading? or ?internationally excellent?, up 15% since 2014. Additionally, the University?s research power metric rocketed from 250 to 718, making Edinburgh Napier the top ranking Scottish modern university for both research power and research impact. The University?s improved power rating will now see our research funding increase as we take significant strides to grow our reputation as a research-focused institution as well as a teaching one. Through continuous investment in staff and our research environment, we are confident that we are well on our way to establishing ourselves as one of the UK?s world-leading universities in research. The School of Computing, Engineering & the Built Environment has over 200 academics, and around 3,100 campus-based students, and delivers programmes with professional accreditations from the British Computer Society, Institution of Engineering and Technology, The Chartered Institute of Building and other accreditation bodies. We have excellent computing, engineering and construction lab facilities. The School has embarked on a major development in the area of Industry 4.0, bringing together computer science, engineering, mathematics and construction technology. We are one of the UK's largest computer science academic units with key strengths in AI, cyber security and creative and social informatics. We house leading UK research centres in transport policy and sustainable construction. The schools are based in the lively and exciting Merchiston area at the heart of Edinburgh, Scotland's inspiring capital. The latest UK national research assessment, REF 2021, places our Computer Science research in the top-30 in the whole UK and 3rd best in Scotland (both in power ranking). In terms of research impact 100% of our work achieved the highest rating (4*), a performance achieved only by six other universities in the whole UK. Our research is underpinned by significant amounts of funding from prestigious sources including both EPSRC and Horizon 2020. This is a great opportunity for an experienced academic with expertise in Artificial Intelligence and Machine Learning or related fields to the work of the experienced team exploring Search-based optimisation, Evolutionary Robotics, Natural Language Generation, Multi-Modal Healthcare Data Analytics. As a professor you will be expected to contribute to the leadership of the research group as well, especially in terms of driving the research agenda and leading the exploration of new foundational research areas. Areas of desirable expertise include, but are not limited to: machine learning with applications to robotics, machine learning theoretical foundations, machine learning applied to biomedical data and healthcare, search-based optimisation, deep learning systems, adversarial machine learning, generative models in machine learning, natural language processing with machine learning, explainable machine learning, neuromorphic machine learning systems. With 80% time allocation for research, this role will allow you to explore novel and emerging areas of artificial intelligence and machine learning, deliver excellent quality research papers and secure substantial external research funding. The Professor in Artificial Intelligence and Machine Learning will contribute to and build programmes and modules to support the expansion of the School?s teaching portfolio which explores the changing nature of IT infrastructure, AI and ML applications to big data, business intelligence, and the impact of technology on business. You will actively contribute to our existing portfolio of computer science based degree programmes. We are looking for someone who can demonstrate enthusiasm for working in a cross-disciplinary manner in fundamental and applied research and in the development of research-informed teaching to enhance employability of our graduates. You will have the opportunity to expand your industry connections through our existing networks. Further information about Edinburgh Napier University can be found here . *The Role* As a professor you will be a member of our Artificial Intelligence research group with: - A research allowance of 80% of your time to build your research. - Access to our staff development budget for travel to conferences and to establish collaborations. - Extensive training and development opportunities through our Human Resources (HR) and Research, Innovation and Enterprise Office (RIE). - Support for grant applications and post-award running of grants from professional services colleagues in the schools and the Research, Innovation and Enterprise Office (RIE). - Opportunities to lead and join PhD student supervisory teams. - A fully funded PhD position (UK student) that you are expected to fill during your first year of employment at Edinburgh Napier University. - Opportunities to contribute to the leadership of the research group. *Applicants must demonstrate:* - A doctoral level qualification in the relevant discipline. - Evidence of a professional academic and research profile alongside a commitment to sustained continuous professional/academic development. - An international reputation as a leader in the field of research appropriate for the level of the professorial position with a track record of international esteem indicators. - A sustained track record of internationally excellent quality output in the *research area of Artificial Intelligence and Machine Learning* appropriate for the level of the professorial position. - A sustained track record of securing external funding and support for research activity (as Principal Investigator or key contributor) and networking within the relevant research community nationally and internationally appropriate for the level of the professorial position. - Completion of several PhD students, supervised as main supervisor. - Evidence of academic leadership appropriate for the level of the professorial position (e.g., mentoring others, engagement in institutional leadership, engagement in cross-institutional and national projects and initiatives). - Evidence of relevant teaching experience. *Applicants preferably will also demonstrate:* - Sustained track records of internationally excellent output and externally funded research projects in interface areas of computer science, engineering, construction and mathematics that are relevant for Industry 4.0 research. *If you would like to know, more about this exciting opportunity please click here ** to view the role profile.* Further information about our benefits can be found here . *Additional Information* *?65,573 to ?106,482 per annum (Grade 8 ? 10)* Informal enquiries about the role can be made to Professor Peter Andras ( p.andras at napier.ac.uk) or Professor Ben Paechter (b.paechter at napier.ac.uk). Applications for the role must be submitted via the Edinburgh Napier University job applications web site ? emailed applications will not be accepted. Application closing date: 4th September 2022 at 11:59pm Interview date: Week of 10th October 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From aruneshsinha at gmail.com Thu Aug 25 12:09:57 2022 From: aruneshsinha at gmail.com (Arunesh Sinha) Date: Thu, 25 Aug 2022 12:09:57 -0400 Subject: Connectionists: [CFP] Call for Tutorials/Demos/YRS Papers CODS-COMAD 2023 Message-ID: --------------------------------------------------------------------------------------------------- CODS-COMAD 2023 10th ACM IKDD CODS and 28th COMAD 6th Joint International Conference on Data Science & Management of Data January 4-7, 2023 IIT Bombay https://cods-comad.in/ ---------------------------------------------------------------------------------------------------- CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 6th time as a common conference bringing together the COMAD and the CODS communities, the conference invites researchers in the field of databases, data sciences and their applications to submit their original work. The 6th Joint International Conference on Data Sciences and Management of Data to be held in Mumbai, India, on January 4-7, 2023 as a hybrid event. The conference will be flexible with respect to in-person vs. online presentation of papers, though we encourage physical presence to facilitate deeper interactions. *- CALL FOR TUTORIALS, DEMOS & YRS PAPERS -* TUTORIALS Tutorials at CODS-COMAD offer a platform to showcase state-of-the-art tools and technologies to support research, development and applications of data systems, data science, data management and platforms, data-driven applications, ethics of data science etc. We solicit tutorial proposals on all topics of interest to the CODS-COMAD conference. For more details, visit: https://cods-comad.in/call-for-tutorial-proposals.php DEMO TRACK The demonstration (demo) track invites submissions from academia and industry where a live or pre-recorded demonstration of the software system, prototype, conceptual design or library adds significant value to the work. Submissions should not exceed 4 pages and (unlimited) references. Topics of interest include data systems, data science, data management and platforms, data-driven applications etc. The scope for demos is broad and includes all topics of interest to the CODS-COMAD conference. The demo should be the result of innovative work including solving novel technical or research problems and/or creating novel UI/UX. Authors of accepted demo track papers will have the option to do either a recorded demo or a live demo at the conference site. For more details, visit: https://cods-comad.in/call-for-demo-track-papers.php YOUNG RESEARCHERS' SYMPOSIUM The Young Researchers? Symposium at CODS-COMAD 2023 invites submissions from students and postdoctoral fellows. This is a unique opportunity for young researchers to have fruitful peer-to-peer discussions and to get feedback from leading senior researchers about their current research work. Submissions to the Young Researchers' Symposium (YRS) are in the form of a 2-page extended abstract, and are invited on the topics such as data systems, data science, data management and platforms, data-driven applications etc. We welcome many kinds of papers, such as, but not limited to: novel research papers, work-in-progress papers, appraisal papers of existing methods and tools (e.g., lessons learned). The first author of any submission should be an undergraduate/postgraduate/Ph.D. student or a Postdoctoral researcher affiliated with any academic institution. Authors of accepted papers will get a chance to present their work both as a poster and a quick lightning talk at the conference. For more details, visit: https://cods-comad.in/call-for-young-researchers-symposium-papers.php IMPORTANT DATES - September 15, 2022: Paper submission deadline in Demo and Young Researchers' Symposium tracks. Tutorial proposal deadline - October 30, 2022: Notification of acceptance - November 15, 2022: Camera ready version due PAPER SUBMISSION LINK https://easychair.org/conferences/?conf=codscomad2023 SUBMISSION INSTRUCTIONS AND POLICIES Detailed submission instructions, submission format, page limits, conflict of interest, dual submission, plagiarism and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/common-instructions-policies.php AWARDS The best paper in each track will receive an award citation TRAVEL GRANTS The conference will provide travel assistance to a reasonable number of students whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course. ORGANIZING COMMITTEE General Chairs - Pushpak Bhattacharyya (IIT Bombay) - Amr El Abbadi (University of California, Santa Barbara) PC Chairs (Research Track) - Praneeth Nethrapalli (Google Research) - Louiqa Raschid (University of Maryland) PC Chairs (Applied Data Science Track) - Tanuja Ganu (Microsoft) - Ponnurangam Kumaraguru (IIIT Hyderabad) Tutorial Chairs - Animesh Mukherjee (IIT Kharagpur) - Kalapriya Kannan (Hewlett Packard Enterprise) Demo Chairs - Mayank Vatsa (IIT Jodhpur) - Anoop Kunchukuttan (Microsoft) Young Researchers' Symposium (YRS) Chairs - Preethi Jyothi (IIT Bombay) - Bivas Mitra (IIT Kharagpur) Diversity & Inclusion Chairs - Chitra Babu (SSN Institutions) - Balaraman Ravindran (IIT Madras) Proceedings Chair - Abhinandan SP (NIE Mysore) - Charu Sharma (IIIT Hyderabad) Publicity Chairs - Rajiv Ratn Shah (IIIT Delhi) - Arunesh Sinha (Singapore Management University) Sponsorship Chairs - Shourya Roy (Flipkart) - Yogesh Simmhan (IISc Bangalore) Local Organizing Chairs - Biplab Banerjee (IIT Bombay) - Manoj Nambiar (TCS Research) Finance Chair - Chandrashekhar Sahasrabudhe (ACM India) - Raj Sharma (Goldman Sachs) Thanks, Arunesh Sinha -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Fri Aug 26 01:22:25 2022 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Fri, 26 Aug 2022 05:22:25 +0000 Subject: Connectionists: Extended deadline CfP Third workshop on Resources for African Indigenous Language (RAIL) Message-ID: Due to several requests, we have extended the submission deadline to 4 September 2022 Final call for papers Third workshop on Resources for African Indigenous Language (RAIL) https://bit.ly/rail2022 The South African Centre for Digital Language Resources (SADiLaR) is organising the 3rd RAIL workshop in the field of Resources for African Indigenous Languages. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it will allow for information sharing among researchers interested in African indigenous languages and also start discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. Suggested topics include the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources The 3rd RAIL workshop 2022 will be co-located with the 10th Southern African Microlinguistics Workshop (https://sites.google.com/nwulettere.co.za/samwop-10/home). This will be an in-person event located in Potchefstroom, South Africa. Registration will be free. RAIL 2022 submission requirements: * RAIL asks for full papers from 4 pages to 8 pages (plus more pages for references if needed), which must strictly follow the Journal of the Digital Humanities Association of Southern Africa style guide (https://upjournals.up.ac.za/index.php/dhasa/libraryFiles/downloadPublic/30 ). * Accepted submissions will be published in JDHASA, the Journal of the Digital Humanities Association of Southern Africa (https://upjournals.up.ac.za/index.php/dhasa/). * Papers will be double blind peer-reviewed and must be submitted through EasyChair (https://easychair.org/my/conference?conf=rail2022). Important dates Submission deadline: 4 September 2022 Date of notification: 30 September 2022 Camera ready copy deadline: 23 October 2022 RAIL: 30 November 2022, North-West University - Potchefstroom SAMWOP: 1 ? 3 December 2022, North-West University - Potchefstroom Organising Committee Jessica Mabaso Rooweither Mabuya Muzi Matfunjwa Mmasibidi Setaka Menno van Zaanen South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ From tiako at ieee.org Thu Aug 25 15:18:30 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Thu, 25 Aug 2022 14:18:30 -0500 Subject: Connectionists: [LastCFP Due Sept 03] CAIS/SERD/CESP2022 Intelligent Systems/Sofware/Process, Hybrid, USA Message-ID: The paper submission deadline was extended to Sept 03 due to numerous requests (Heatwave, Summer Break, Pandemic, Start of Semester). --- Call for Abstracts and Papers ------------- CAIS/SERD/CESP2022 Intelligent Systems/Sofware/Process Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 OkIP Published & Submission to WoS/SCOPUS Indexed Submission Last Deadline: September 03, 2022 Extended versions of the best papers will be considered for journal publication. >>> Contribution Types (Two-Column IEEE Format Style) - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) >>> Automated and Intelligent Systems (CAIS) https://eventutor.com/e/CAIS002 * Areas - AI, Machine Learning (ML), and Applications - Agent-based, Automated, and Distributed Supports - Intelligent Systems and Applications - Knowledge-based and Control Supports - Robotics and Vehicles >>> Software Engineering Research & Development (SERD) https://eventutor.com/e/SERD002 * Areas: - General and Social Aspects of Software Engineering(SE) - Software Design, Testing, Evolution, and Maintenance - Formal Methods and Theoretical Foundations - SE Service Orientation and Human Interactions - AI in SE, Web-Based Environments, and Adaptive Systems - Emerging SE Technologies and Dependability - SE Distribution, Componentization, and Collaboration >>> Enterprise and Software Process (CESP) https://eventutor.com/e/CESP002 * Areas: - Agile, Hybrid, and Traditional Process - Model, Method, Standard, and Architecture - AI and Knowledge Management Process - Process, Application, and Tool - Human Factor and Communication Technology Please feel free to contact us for any inquiries at: info at okipublishing.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Thu Aug 25 20:17:44 2022 From: jkrichma at uci.edu (Jeffrey Krichmar) Date: Thu, 25 Aug 2022 17:17:44 -0700 Subject: Connectionists: Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? Message-ID: <20CD98D2-023C-4334-9AF9-5D38B51165F3@uci.edu> Dear Connectionists, Please consider submitting your work to this special issue of Biological Cybernetics. Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? Submission deadline: September 30, 2022 https://www.springer.com/journal/422/updates/20421374 This special issue invites original research and review articles related to topics in biological vision that can potentially benefit computer vision systems. The following is a non exhaustive list of topics in biological vision that can also benefit computer vision systems. ? Active vision?s role in visual search, scene understanding, social interactions, etc. ? Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust. ? The roles of recurrent and top-down connections in the visual cortex. ? Spike based spatiotemporal processing and its implications for neuromorphic vision. ? Motion perception in dynamic environments. ? Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.) ? The roles of attention mechanisms in biological vision. How to submit: Please submit your manuscript using the journal online submission system following the Biological Cybernetics submission guidelines. Guest Editors: Kexin Chen - Department of Cognitive Sciences, University of California, Irvine Hirak J. Kashyap - Department of Computer Science, University of California, Irvine Jeffrey L. Krichmar - Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine Xiumin Li - College of Automation, Chongqing University, Chongqing, China If you have any questions, please reach out to one of the guest editors. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From smgsolinas at uniss.it Sat Aug 27 03:26:43 2022 From: smgsolinas at uniss.it (Sergio Solinas) Date: Sat, 27 Aug 2022 09:26:43 +0200 Subject: Connectionists: NEURON School on basic Computational Neuroscience 12-16 September 2022 ITALY DEADLINE EXTENDED Message-ID: *Apologies for cross-posting* [All details about this school can be found online at The NEURON School < https://www.neuronschool.org/>] DEADLINE EXTENSION TO 5th of September 2022 We are excited to announce the third edition of The NEURON School on Computational Neuroscience 12-16 September 2022 Pula-Cagliari ITALY. The school is intended to enroll a maximum of 25 students. Register at: https://www.neuronschool.org/join-the-school/ This one-week school will introduce the basic use of the simulation environment NEURON and related software to build brain models from experiments to their applications. School speakers: - Barry Richmond NIH Washington DC (USA) - Michele Migliore CNR IBF Palermo (ITALY) - Mitchell Goldfarb Hunter College NY (USA) - Padraig Gleeson UCL London (UK) - Gabriela Michel Janelia Research Campus Whashington DC (USA) - Paola Perin University of Pavia (ITALY) - Giuseppe Talani University of Cagliari (ITALY) - Thierry Nieus Unitech Indaco, Universit? degli Studi di Milano (ITALY) - Eugenio Piasini SISSA Trieste (ITALY) School Organizers: - Sergio Solinas, Paolo Enrico, Beniamina Mercante University of Sassari (ITALY) The school will provide basic notions on experimental methods to extract and process morphological and electrophysiological data targeting their use to build computational models of single neurons and neuronal networks. The school will cover how these models can be constructed based on the principles of biological tissue electrophysiology. We welcome applications from undergraduate, full graduate, PhD students, and PostDocs in a variety of fields from biology, neurobiology and psychology, to physics, engineering, and mathematics, and industry professionals with a relevant background. Applicants are expected to have a good background in their discipline, an interest in neuroscience, and some knowledge (even basic) of computer programming. We will soon post updates about the school organisation. Format: Morning tutorials will be complemented with Afternoon coding sessions and Evening discussions promoted by presentations of Senior Scientists. Date and Location: September 12th to September 16st, 2022 at the Pula Research Centre < https://www.sardegnaricerche.it/index.php?xsl=376&s=13&v=9&c=3874&nc=1> within the Science and Technology Park of Sardinia, Cagliari - Sardinia (ITALY). Application Deadline: 25 August 2022 Applications: Please visit https://www.neuronschool.org/ where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact smgsolinas at uniss.it We look forward to your registration and to welcoming you to the Pula Research Centre! Cordiali saluti, Sergio MG Solinas Dip. di Scienze Biomediche Universit? di Sassari Viale San Pietro 23 07100 - Sassari The NEURON School -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Aug 27 05:02:15 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 27 Aug 2022 11:02:15 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration September 14 Message-ID: <1650073414.1770481.1661590935716@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: September 14, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis [virtual] Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning [virtual] Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by October 9, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From Robert.Mullins at cl.cam.ac.uk Fri Aug 26 08:02:32 2022 From: Robert.Mullins at cl.cam.ac.uk (Robert Mullins) Date: Fri, 26 Aug 2022 13:02:32 +0100 Subject: Connectionists: Research Fellowship (up to 4 years), St. John's College, Cambridge Message-ID: St John?s College invites applications for up to four Research Fellowships, tenable for up to four years from 1 October 2023. There is specific funding available to support a Research Fellow in Computer Science. The Fellowships offer an opportunity to carry out independent research in a stimulating and supportive academic environment. Applications will be accepted from any graduate of a university within or outside the United Kingdom. Successful candidates are normally expected to be post-doctoral researchers who have been awarded their PhD within the last two years or graduate students in the latter stages of their research leading to a PhD. All applications must be submitted online and received by 16:00 BST on Thursday 15 September 2022. The application site is now open. More details can be found here: https://www.joh.cam.ac.uk/graduates-invited-apply-research-fellowships-2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Fri Aug 26 19:21:21 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Fri, 26 Aug 2022 19:21:21 -0400 Subject: Connectionists: [Deadline Sep. 1][Virtual Conference] The 8th IEEE International Conference on Privacy Computing [**10+ Special Issues**] Message-ID: CFP: The 8th IEEE International Conference on Privacy Computing (PriComp 2022) [10+ Special Issues] Dec. 15-18, Haikou, China [Submission Deadline: Sep. 1] [Hybrid/Virtual Conference] ****PriComp 2022 supports Virtual Conference for foreign authors out of China. **** http://www.ieee-smart-world.org/2022/pricomp/ PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi'an, Shanghai, China (online, 2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. ================== Organizing Committee ================== General Chairs - Fenghua Li, Institute of Information Engineering, CAS, China - Laurence T. Yang, Hainan University, China - Willy Susilo, University of Wollongong, Australia Program Chairs - Hui Li, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Local Chairs - Weidong Qiu, Shanghai Jiaotong University, China - Jieren Cheng, Hainan University, China Publicity Chairs - Bocheng Ren, Huazhong University of Science and Technology, China - Xin Nie, Huazhong University of Science and Technology, China - Peng Tang, Shanghai Jiao Tong University, China ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy metrics and formalization - Privacy taxonomies and ontologies - Privacy information management and engineering - Privacy operation and modeling - Data utility and privacy loss - Cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Internet and web privacy - Cloud privacy - Social media privacy - Mobile privacy - Location privacy - IoT privacy - Behavioral advertising - Privacy in large ecosystems such as smart cities - Privacy of AI models and systems - AI for privacy computing - Privacy and blockchain - User-centric privacy protection solutions - Human factors in privacy computing - Privacy nudging - Automated solutions for privacy policies and notices - Legal issues in privacy computing and other interdisciplinary topics ================== Special Issues ================== All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in SCI & EI indexed prestigious journals. 1. Special issue on ?Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation?, IEEE Transactions on Computational Social Systems http://cyber-science.org/2022/assets/files/si/220412_IEEE%20TCSS_SI.pdf 2. Special issue on ?Responsible AI in Social Computing?, IEEE Transactions on Computational Social Systems https://www.ieeesmc.org/images/publications/pdfs/Call_for_Paper_-_SI_on_Responsible_AI_in_Social_Computing.pdf 3. Special issue on ?Decentralized Trust Management with Intelligence?, Information Science https://www.journals.elsevier.com/information-sciences/call-for-papers/decentralized-trust-management-with-intelligence 4. Special issue on ?Resource Sustainable Computational and Artificial Intelligence?, IEEE Transactions on Emerging Topics in Computational Intelligence 5. Special issue on ?Smart Blockchain for IoT Trust, Security and Privacy?, IEEE IoT Journal https://ieee-iotj.org/wp-content/uploads/2022/05/IEEEIoT-SmartBlockchain-TSP.pdf 6. Special issue on ?Edge Computing Optimization and Security?, Journal of Systems Architecture https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/edge-computing-optimization-and-security-vsi-edgeos2022 7. Special issue on ?Distributed Learning and Blockchain Enabled Infrastructures for Next Generation of Big Data Driven Cyber-Physical Systems?, Journal of Systems Architecture http://cyber-science.org/2022/assets/files/si/JSA_SI_0331.pdf 8. Special issue on ?Distributed and Collaborative Learning Empowered Edge Intelligence in Smart City?, ACM Transactions on Sensor Networks https://dl.acm.org/pb-assets/static_journal_pages/tosn/pdf/ACM_TOSN_CFP1210-1640635690003.pdf 9. Special issue on ?Robustness, Privacy, and Forensics in Intelligent Multimedia Systems? Information Science https://www.journals.elsevier.com/information-sciences/forthcoming-special-issues/robustness-privacy-and-forensics-in-intelligent-multimedia-systems * More special issues can be found at: http://www.ieee-smart-world.org/2022/pricomp/si.php ================== Important Dates ================== Paper Submission: September 01, 2022 Author Notification: October 01, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: December 15-18, 2022 ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N29960) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From e.neftci at fz-juelich.de Mon Aug 29 02:03:32 2022 From: e.neftci at fz-juelich.de (Emre Neftci) Date: Mon, 29 Aug 2022 08:03:32 +0200 Subject: Connectionists: Postdoc and PhD Openings at Forschungszentrum Juelich Message-ID: <54adaa34-f2c0-414a-b1fa-7b58ebd577a5@www.fastmail.com> Dear All, I'd like to announce job openings in neuromorphic engineering at Forschungszentrum J?lich in the new Neuromorphic Compute Nodes institute (PGI-14) led by John Paul Strachan and Neuromorphic Software Ecosystems (PGI-15) led by Emre Neftci. We have multiple big interdisciplinary projects to develop Neuromorphic hardware systems for Machine Learning, Edge Computing, Optimization problem solving, and Probabilistic computing to name a few target areas. There are projects in computer architecture, mixed analog-digital circuits, co-designing algorithm/hardware, system design and testing and neuromorphic computing algorithms. Please share and apply if interested! Postdoc openings PGI-14: Postdoc - Neuromorphic Engineering / Computing https://www.fz-juelich.de/de/karriere/stellenangebote/2022-342 PhD openings PGI-14: PhD Position - Neuromorphic Engineering / Computing https://www.fz-juelich.de/en/careers/jobs/2022D-089 PhD openings PGI-15 - Neuromorphic Hardware for Event-based Computing at the Edge https://www.fz-juelich.de/en/careers/jobs/2022D-092 PhD openings PGI-14 and PGI-15 (joint position) - Model Compression, Transfer Learning and Local Learning for Large Scale AI https://www.fz-juelich.de/en/careers/jobs/2022D-093 Kind regards, Emre -- Prof. Dr. Emre Neftci Head of Peter Gr?nberg Institute 15 - Neuromorphic Software Ecosystems Forschungszentrum J?lich www.fz-juelich.de/pgi/PGI-15 www.nmi-lab.org ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de From junfeng989 at gmail.com Sun Aug 28 22:59:04 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Sun, 28 Aug 2022 22:59:04 -0400 Subject: Connectionists: [Deadline Sep. 1][Hybrid Conference] The 2022 IEEE International Conference on Privacy Enhancing Technologies Message-ID: CFP: The 2022 IEEE International Conference on Privacy Enhancing Technologies The 2022 IEEE International Conference on Privacy Computing (IEEE PriComp 2022) Dec. 15-18, Haikou, China [Submission Deadline: Sep. 1] [10+ Special Issues] IEEE PriComp 2022 supports Virtual Conference for foreign authors out of China. http://www.ieee-smart-world.org/2022/pricomp/ PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi'an, Shanghai, China (online, 2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. ================== Special Issues ================== All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in SCI & EI indexed prestigious journals. 1. Special issue on ?Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation?, IEEE Transactions on Computational Social Systems http://cyber-science.org/2022/assets/files/si/220412_IEEE%20TCSS_SI.pdf 2. Special issue on ?Responsible AI in Social Computing?, IEEE Transactions on Computational Social Systems https://www.ieeesmc.org/images/publications/pdfs/Call_for_Paper_-_SI_on_Responsible_AI_in_Social_Computing.pdf 3. Special issue on ?Decentralized Trust Management with Intelligence?, Information Science https://www.journals.elsevier.com/information-sciences/call-for-papers/decentralized-trust-management-with-intelligence 4. Special issue on ?Resource Sustainable Computational and Artificial Intelligence?, IEEE Transactions on Emerging Topics in Computational Intelligence 5. Special issue on ?Smart Blockchain for IoT Trust, Security and Privacy?, IEEE IoT Journal https://ieee-iotj.org/wp-content/uploads/2022/05/IEEEIoT-SmartBlockchain-TSP.pdf 6. Special issue on ?Edge Computing Optimization and Security?, Journal of Systems Architecture https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/edge-computing-optimization-and-security-vsi-edgeos2022 7. Special issue on ?Distributed Learning and Blockchain Enabled Infrastructures for Next Generation of Big Data Driven Cyber-Physical Systems?, Journal of Systems Architecture http://cyber-science.org/2022/assets/files/si/JSA_SI_0331.pdf 8. Special issue on ?Distributed and Collaborative Learning Empowered Edge Intelligence in Smart City?, ACM Transactions on Sensor Networks https://dl.acm.org/pb-assets/static_journal_pages/tosn/pdf/ACM_TOSN_CFP1210-1640635690003.pdf 9. Special issue on ?Robustness, Privacy, and Forensics in Intelligent Multimedia Systems? Information Science https://www.journals.elsevier.com/information-sciences/forthcoming-special-issues/robustness-privacy-and-forensics-in-intelligent-multimedia-systems ** More special issues can be found at: http://www.ieee-smart-world.org/2022/pricomp/si.php ================== Important Dates ================== Paper Submission: September 01, 2022 Author Notification: October 01, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: December 15-18, 2022 ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy metrics and formalization - Privacy taxonomies and ontologies - Privacy information management and engineering - Privacy operation and modeling - Data utility and privacy loss - Cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Internet and web privacy - Cloud privacy - Social media privacy - Mobile privacy - Location privacy - IoT privacy - Behavioral advertising - Privacy in large ecosystems such as smart cities - Privacy of AI models and systems - AI for privacy computing - Privacy and blockchain - User-centric privacy protection solutions - Human factors in privacy computing - Privacy nudging - Automated solutions for privacy policies and notices - Legal issues in privacy computing and other interdisciplinary topics ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N29960) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Fenghua Li, Institute of Information Engineering, CAS, China - Laurence T. Yang, Hainan University, China - Willy Susilo, University of Wollongong, Australia Program Chairs - Hui Li, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Local Chairs - Weidong Qiu, Shanghai Jiaotong University, China - Jieren Cheng, Hainan University, China Publicity Chairs - Bocheng Ren, Huazhong University of Science and Technology, China - Xin Nie, Huazhong University of Science and Technology, China - Peng Tang, Shanghai Jiao Tong University, China -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Mon Aug 29 05:40:12 2022 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 29 Aug 2022 11:40:12 +0200 Subject: Connectionists: [CfP] [Deadline extended] The 3rd international workshop on Machine Learning for EEG Signal Processing (MLESP) In-Reply-To: <71c6d4bc-d6ba-a308-63ed-b5c7e205e14e@ai.univ-paris8.fr> References: <8f51ad5e-b276-8a29-df0f-b2da8e672395@ai.univ-paris8.fr> <71c6d4bc-d6ba-a308-63ed-b5c7e205e14e@ai.univ-paris8.fr> Message-ID: <6c024f22-c485-1d64-21a0-4c9b2a5cd2d9@ai.univ-paris8.fr> > > [Apologies for multiple postings] > ** > > *CALL FOR PAPERS* > > The 3^rd international workshop on Machine Learning for EEG Signal > Processing (MLESP 2022, https://mlesp2022.sciencesconf.org/) will be > held in Las Vegas, USA, from 6 to 9 december 2022, in conjunction with > the IEEE International Conference on Bioinformatics and Biomedicine > (IEEE BIBM 2022, https://ieeebibm.org/BIBM2022/) > > *Overview* > > EEG signal processing involves the analysis and treatment of the > electrical activity of the brain measured with Electroencephalography, > or EEG, in order to provide useful information on which decisions can > be made. The recent advances in signal processing and machine learning > for EEG data processing have brought an impressive progress to solve > several practical and challenging problems in many areas such as > healthcare, biomedicine, biomedical engineering, BCI and biometrics. > The aim of this workshop is to present and discuss the recent advances > in machine learning for EEG signal analysis and processing. We are > inviting original research work, as well as significant > work-in-progress, covering novel theories, innovative methods, and > meaningful applications that can potentially lead to significant > advances in EEG data analytics. This workshop is an opportunity to > bring together academic and industrial scientists to discuss the > recent advances. > > The topics of interest include but not limited to: > > - EEG signal processing and analysis > - Time-frequency EEG signal analysis > - Signal processing for EEG Data > - EEG feature extraction and selection > - Machine learning for EEG signal processing > - EEG classification and Hierarchical clustering > - EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's > disease, etc.) > - Machine learning in EEG Big Data > - Deep Learning for EEG Big Data > - Neural Rehabilitation Engineering > - Brain-Computer Interface > - Neurofeedback > - EEG-based Biometrics > - Related applications > > Important Dates > > Aug. 31, 2022***Sep. 30, 2022* (11:59 pm CST): Due date for full > workshop papers submission > Oct. 31, 2022: Notification of paper acceptance to authors > Nov. 12, 2022: Camera-ready of accepted papers > Dec 6-9, 2022: Workshops > > Paper Submission > > - Please submit a full-length paper (up to 8 page IEEE 2-column > format) through the online submission system. You can download the > format instruction here: > https://www.ieee.org/conferences/publishing/templates.html > - Electronic submissions in PDF format are required. > > Online Submission > > https://wi-lab.com/cyberchair/2022/bibm22/scripts/submit.php?subarea=S02&undisplay_detail=1&wh=/cyberchair/2022/bibm22/scripts/ws_submit.php > > > Publication > > All accepted papers will be published in the BIBM proceedings and IEEE > Xplore Digital Library. > > *Contact* > > Prof. Larbi Boubchir /(//Workshop Chair/),University of Paris 8, France > E-mail: larbi.boubchir at univ-paris8.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Aug 29 21:28:16 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 30 Aug 2022 01:28:16 +0000 Subject: Connectionists: NEURAL NETWORKS, Sept. 2022 Message-ID: Neural Networks - Volume 153, September 2022 https://www.journals.elsevier.com/neural-networks Dimensionality of the intermediate-level representation of shape and texture in monkey V4 Atsushi Kodama, Kouji Kimura, Ko Sakai A survey for deep reinforcement learning in Markovian cyber-physical systems: Common problems and solutions Timothy Rupprecht, Yanzhi Wang Transfer learning for motor imagery based brain-computer interfaces: A tutorial Dongrui Wu, Xue Jiang, Ruimin Peng Computational role of exploration noise in error-based de novo motor learning Lucas Rebelo Dal'Bello, Jun Izawa A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks Aidi Liu, Hui Zhao, Qingjie Wang, Sijie Niu, ... Lixiang Li Graph Transformer Networks: Learning meta-path graphs to improve GNNs Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, ... Hyunwoo J. Kim Reducing noisy annotations for depression estimation from facial images Lang He, Prayag Tiwari, Chonghua Lv, WenShuai Wu, Liyong Guo MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks Bo Jiang, Si Chen, Beibei Wang, Bin Luo SepNet: A neural network for directionally correlated data Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian Riemannian gradient methods for stochastic composition problems Feihu Huang, Shangqian Gao Training much deeper spiking neural networks with a small number of time-steps Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, ... Zhi-Quan Luo A universal adversarial policy for text classifiers Gallil Maimon, Lior Rokach Graph regularized spatial-spectral subspace clustering for hyperspectral band selection Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, ... En Zhu Reframing control methods for parameters optimization in adversarial image generation Qamar Alfalouji, Piergiorgio Sartor, Pietro Zanuttigh Online subspace learning and imputation by Tensor-Ring decomposition Jinshi Yu, Tao Zou, Guoxu Zhou >From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning Nahiyan Malik, Danilo Bzdok Privacy preserving Generative Adversarial Networks to model Electronic Health Records Rohit Venugopal, Noman Shafqat, Ishwar Venugopal, Benjamin Mark John Tillbury, ... Aikaterini Bourazeri Image super-resolution with an enhanced group convolutional neural network Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, ... David Zhang SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encoders Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti Single-layer vision transformers for more accurate early exits with less overhead Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis Modularity-aware graph autoencoders for joint community detection and link prediction Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis Oblique and rotation double random forest M.A. Ganaie, M. Tanveer, P.N. Suganthan, V. Snasel Online action proposal generation using spatio-temporal attention network Kanchan Keisham, Amin Jalali, Minho Lee A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D.I. Abarbanel Toward reliable designs of data-driven reinforcement learning tracking control for Euler-Lagrange systems Zhikai Yao, Jianyong Yao Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks Linyan Gu, Lihua Yang, Feng Zhou Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean Ahmet Yilmaz, Riccardo Poli Exploring phase-amplitude coupling from primary motor cortex-basal ganglia-thalamus network model Ying Yu, Fang Han, Qingyun Wang Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines Xinqi Li, Jun Wang, Sam Kwong Quantum Neural Networks and Topological Quantum Field Theories Antonino Marciano, Deen Chen, Filippo Fabrocini, Chris Fields, ... Emanuele Zappala Neural network interpolation operators optimized by Lagrange polynomial Guoshun Wang, Dansheng Yu, Ping Zhou Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays Caicai Zheng, Cheng Hu, Juan Yu, Haijun Jiang Approximation in shift-invariant spaces with deep ReLU neural networks Yunfei Yang, Zhen Li, Yang Wang Approximation rates of DeepONets for learning operators arising from advection-diffusion equations Beichuan Deng, Yeonjong Shin, Lu Lu, Zhongqiang Zhang, George Em Karniadakis The minimum regret path problem on stochastic fuzzy time-varying networks Wei Huang, Zhilei Xu, Liehuang Zhu Convergence of deep convolutional neural networks Yuesheng Xu, Haizhang Zhang Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function Hongsong Wen, Xing He, Tingwen Huang Adaptive 2-bits-triggered neural control for uncertain nonlinear multi-agent systems with full state constraints Zicong Chen, Jianhui Wang, Tao Zou, Kemao Ma, Qinruo Wang Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints Ning Tan, Peng Yu, Shen Liao, Zhenglong Sun Scalp EEG functional connection and brain network in infants with West syndrome Runze Zheng, Yuanmeng Feng, Tianlei Wang, Jiuwen Cao, ... Feng Gao Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization Man-Fai Leung, Jun Wang, Hangjun Che ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition Sirui Zhao, Huaying Tang, Shifeng Liu, Yangsong Zhang, ... Cuntai Guan -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Aug 29 07:58:21 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 29 Aug 2022 07:58:21 -0400 Subject: Connectionists: [CFP] Call for Participation: Virtual ISWC 2022, 23-27 October 2022, Hangzhou, China Message-ID: *********************************************************************************************************** *Virtual 21st International Semantic Web Conference (ISWC 2022), Call for Participation* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ *********************************************************************************************************** Early Registration for Virtual ISWC 2022 is now open! Register until 15th October 2022 to save your seat through early bird registration at Registration ? ISWC 2022 (semanticweb.org) Join us from anywhere in the world for the virtual International Semantic Web Conference and enjoy the insightful keynotes, presentations, posters & demos, workshops & tutorials, and SW challenges while networking and making connections with the semantic web community. Virtual ISWC 2022 has the following exciting keynote speakers: - *Francesca Rossi*, an IBM Fellow and the IBM AI Ethics Global Leader, will be discussing about* AI Ethics in the Semantic Web.* - *Ilaria Capua*, DVM, PhD. Director, One Health Center of Excellence, University of Florida ? USA, will be discussing *Circular Health*. - *Markus Kr?tzsch*, full professor for Knowledge-Based Systems at TU Dresden, will be discussing *Data, Ontologies, Rules, and the Return of the Blank Node*. Tune into Keynote Speakers ? ISWC 2022 (semanticweb.org) to find more information about our keynotes! General Chair *Claudia d'Amato,* Department of Computer Science, University of Bari, IT Local Organizing Chair *Huajun Chen,* College of Computer Science and Technologies, Zhejiang University, CN *Oh wait.... did I say that we are having a job fair too? keep an eye out to see how you can participate!* Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From gabbiani at bcm.edu Mon Aug 29 17:37:49 2022 From: gabbiani at bcm.edu (Gabbiani, Fabrizio) Date: Mon, 29 Aug 2022 21:37:49 +0000 Subject: Connectionists: =?windows-1252?q?Postdoctoral_position_=96_Large-?= =?windows-1252?q?Scale_Biophysical_Modeling_of_Neurons?= Message-ID: The group of Fabrizio Gabbiani at Baylor College of Medicine (BCM, Department of Neuroscience) is looking to hire a postdoctoral fellow to work on the optimization of biophysical models for single neurons. The project will be carried out in close collaboration with the group of Jeffrey Magee at BCM (also in the Department of Neuroscience) and that of Matthias Heinkenschloss at Rice University (in the Department of Computational Applied Mathematics & Operations Research). The goal of the project is to apply methods derived from large-scale optimization and optimal control towards the optimization of neuron models having a large number of electrical compartments. The developed techniques will be used to fit in vivo and in vitro electrophysiological data from murine CA1 pyramidal cells to understand the formation of their associated place fields. In addition, the same techniques will be applied to fit electrophysiological data from a visual neuron that detects impending collision in grasshoppers. We are looking for a highly motivated scholar with the ability to bridge theoretical and experimental work in neuroscience. The ideal candidate will be familiar with systems of ordinary differential equations of Hodgkin-Huxley type used to model neurons. In addition, the applicant will have experience in computer programing which will be central to the project?s execution. The ideal candidate will have a Ph.D. in Computational Neuroscience, or a related field such as Electrical Engineering, Computer Science, Biophysics or Applied Mathematics. We are committed to training the next generation of interdisciplinary scientists to tackle complex, multidisciplinary problems. Both BCM and Rice University support efforts to broaden diversity by fostering the careers of individuals with unconventional backgrounds. Interested candidates should email a CV, a statement of research interests and the contact information of at least two and preferably three references to Fabrizio Gabbiani (gabbiani at bcm.edu). -------------- next part -------------- An HTML attachment was scrubbed... URL: From johan.suykens at esat.kuleuven.be Mon Aug 29 13:06:06 2022 From: johan.suykens at esat.kuleuven.be (Johan Suykens) Date: Mon, 29 Aug 2022 19:06:06 +0200 Subject: Connectionists: Postdoc positions KU Leuven (ERC Advanced grant E-DUALITY) In-Reply-To: <7f77d180-108e-1622-b8af-f7dfe856cf1d@esat.kuleuven.be> References: <7f77d180-108e-1622-b8af-f7dfe856cf1d@esat.kuleuven.be> Message-ID: The research group KU Leuven ESAT-STADIUS is currently offering 2 Postdoc (1 year, extendable) positions within the framework of the ERC (European Research Council) Advanced Grant E-DUALITY http://www.esat.kuleuven.be/stadius/E (PI: Johan Suykens) on Exploring Duality for Future Data-driven Modelling. Within this ERC project E-DUALITY we aim at realizing a powerful and unifying framework (including e.g. kernel methods, support vector machines, deep learning, networks, tensor-based models and others) for handling different system complexity levels, obtaining optimal model representations and designing efficient algorithms. The research positions relate to the following possible topics: -1- Duality principles -2- Multiple data sources and coupling schemes -3- Manifold learning and semi-supervised schemes -4- Optimal prediction schemes -5- Scalability, on-line updating, interpretation and visualization -6- Mathematical foundations -7- Matching model to system characteristics For further information and on-line applying, see https://www.kuleuven.be/personeel/jobsite/jobs/60153047 (click EN for English version). The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including data-driven modelling, neural networks and machine learning, nonlinear systems and complex networks, optimization, systems and control, signal processing, bioinformatics and bio-medicine. From melaahi2 at gmail.com Mon Aug 29 14:23:11 2022 From: melaahi2 at gmail.com (M Elahi) Date: Mon, 29 Aug 2022 20:23:11 +0200 Subject: Connectionists: Deadline extended for MMM 2023 Conference Message-ID: Deadline extended for the International Conference on MultiMedia Modeling ? MMM 2023 January 9-12, 2023 in Bergen, Norway Extended Deadline: September 12, 2022 MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and practical development experiences from all MMM related areas. The conference calls for research papers reporting original investigation results and demonstrations reporting novel and compelling applications. Special sessions, Brave New Ideas session, keynote lectures, and the Video Browser Showdown will also contribute to a high-quality program. Conference Website: http://mmm2023.no MMM 2023 hosts four special sessions: https://www.mmm2023.no/call-for-submissions/calls-for-special-session-papers - MDRE: Multimedia Datasets for Repeatable Experimentation - MACHU: Multimedia Analytics for Contextual Human Understanding - ICDAR: Intelligent Cross-Data Analysis and Retrieval - SNL: Sport and Nutrition Lifelogging MMM 2023 also hosts the following two workshops: https://www.mmm2023.no/call-for-submissions/calls-for-workshop-papers - Research2biz: From Research To Prototype - URA: Second International Workshop on Understanding Reading Activities Finally, MMM 2023 also hosts the Video Browser Showdown (VBS): https://videobrowsershowdown.org Submission Deadlines - All submissions to the main conference track and Special Sessions: September 2, 2022 - Workshop deadlines and the VBS deadline are separately defined by the workshop and VBS organisers On behalf of the MMM 2023 organisers, ??????????????? Mehdi Elahi Associate Professor, University of Bergen, Norway *Group: *dars.uib.no *Center: *mediafutures.no *Twitter: *twitter.com/mehdielaahi *LinkedIn:* linkedin.com/in/mehdielahi *GoogleScholar: *scholar.google.com/citations?user=aUWF7LYAAAAJ ??????????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Tue Aug 30 00:17:42 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Tue, 30 Aug 2022 06:17:42 +0200 Subject: Connectionists: Professor in data science at the university of Neuchatel, Switzerland Message-ID: A full professor or tenure-track assistant professor in data science is available at the university of Neuch?tel. We are looking for candidates with an internationally visible research profile in data science, including, but not limited to, databases, information systems, data mining, natural language processing' For applications as assistant professor, you are typically expected to obtain tenure after 4 years. The institute of informatics at the university of Neuch?tel is within the faculty of science. The research at the instituIt promotes an interdisciplinary research and teaching environment with the institutes of mathematics, statistics, biology and psychology and education, as well as the faculty of law and the faculty of economics and business. Teaching obligations are 7 hours per week. The successful candidate will have the opportunity to teach in the joint computer science masters program with the universities of Bern, Neuch?tel and Fribourg. At the Bachelor level, they are expected to teach courses in the newly established Bachelor program in Data Science. For Masters courses, the language of instruction is English. Bachelor courses should be taught in French, hence there is a requirement for proficiency in the language after the first year. Neuch?tel is a french-speaking canton, at the north border of Switzerland with France. It enjoys views over the homonymous lake < https://www.neuchatelville.ch/sortir-et-decouvrir/le-lac-de-neuchatel >, where sailing and swimming are popular in the summer. The region offers many hiking and climbing opportunities, while the hills above the university have a large cross-country skiing network during the winter < https://www.j3l.ch/en/P56083/nordic-centre-pouillerel >. The main Alpine ranges, as well as the cities of Bern, Lausanne, Geneve and Zurich can be reached in 45-90' by train. Remuneration is competitive, according to the cantonal standards: https://www.unine.ch/srh/professeur-e-s-categorie-a Application Deadline: 1 October 2022. Application Procedure: Applications should be uploaded at www.unine.ch/candis (ref. FS-Data) in the form of a single PDF file, including a letter of motivation, a CV documenting full teaching and research experience, a list of publications, copies of diplomas and a list of experts able to assess the candidate?s competence (with at least three names). The candidate is also invited to present a statement (3 pages max.) of teaching and research interests, his/her scientific approach to the domain, and projects that he/she intends to undertake at Neuch?tel. Further information can be obtained by contacting the Head of the Hiring Committee Prof. Pascal Felber (pascal.felber at unine.ch), or Prof. Christos Dimitrakakis (christos.dimitrakakis at unine.ch) -- Christos Dimitrakakis https://sites.google.com/site/christosdimitrakakis/ From m.biehl at rug.nl Tue Aug 30 02:44:15 2022 From: m.biehl at rug.nl (Michael Biehl) Date: Tue, 30 Aug 2022 08:44:15 +0200 Subject: Connectionists: 2 PhD positions at the Univ. of Groningen/NL Message-ID: Please excuse multiple postings Application *deadline: September 29, 2022* *2 PhD positions* funded by the Groningen Cognitive Systems and Materials Center *(1) Push-Pull Inhibition in Deep Learning* *(2)* *Statistical Physics of Learning* *in Layered Networks* *Two fully funded PhD positions (4 years)* are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S0009H4P All applications should be submitted through this website before September 30, 2022. One PhD *(PP1)* will address the study of *"push-pull inhibition" in deep* *learning*, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george). Candidates should have a strong background in brain inspired computing and deep learning. The second position *(PP2)* will be devoted to the *statistical physics* *based analysis* of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be *fully funded (4 years) *by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at santafe.edu Tue Aug 30 13:31:59 2022 From: mm at santafe.edu (Melanie Mitchell) Date: Tue, 30 Aug 2022 11:31:59 -0600 Subject: Connectionists: New postdoc position on developing AI / ML models of abstraction and analogy Message-ID: <83C7CF4F-AD98-4CC5-886B-B56CB0FAF613@santafe.edu> I have a new postdoc position in my group at the Santa Fe Institute on developing AI / ML models of conceptual abstraction and analogy. Start date is flexible, but roughly early-to-mid 2023. Requirement is PhD (by start date) in field related to AI or cogsci. For more info and application details: https://santafe.edu/about/jobs/postdoc-ai Application deadline is October 16, 2022. Melanie Mitchell Davis Professor Santa Fe Institute -------------- next part -------------- An HTML attachment was scrubbed... URL: From celikel at gatech.edu Tue Aug 30 11:47:26 2022 From: celikel at gatech.edu (Celikel, Tansu) Date: Tue, 30 Aug 2022 15:47:26 +0000 Subject: Connectionists: Multiple open-rank positions at Georgia Tech In-Reply-To: References: Message-ID: [Apologies for cross-listing across mailing lists.] Dear Colleagues The School of Psychology (psychology.gatech.edu/) at the GEORGIA INSTITUTE OF TECHNOLOGY (www.gatech.edu/) invites nominations and applications for 5 open-rank tenure-track faculty positions with an anticipated start date of August 2023 or later. The successful applicant will be expected to demonstrate and develop an exceptional research program. The research area is open, but we are particularly interested in candidates whose scholarship complements existing School strengths in Adult Development and Aging, Cognition and Brain Science, Engineering Psychology, Work and Organizational Psychology, and Quantitative Psychology, and takes advantage of quantitative, mathematical, and/or computational methods. The School of Psychology is well-positioned in the College of Sciences at Georgia Tech, a University that promotes translational research from the laboratory and field to real-world applications in a variety of areas. The School offers multidisciplinary educational programs, graduate training, and research opportunities in the study of mind, brain, and behavior and the associated development of technologies that can improve human experience. Excellent research facilities support the School?s research and interdisciplinary graduate programs across the Institute. Georgia Tech?s commitment to interdisciplinary collaboration has fostered fruitful interactions between psychology faculty and faculty in the sciences, computing, business, engineering, design, and liberal arts. Located in the heart of Atlanta, one of the nation's most academic, entrepreneurial, creative and diverse cities with excellent quality of life, the School actively develops and maintains a rich network of academic and applied behavioral science/industrial partnerships in and beyond Atlanta. Candidates whose research programs foster collaborative interactions with other members of the School and further contribute to bridge-building with other academic and research units at Tech and industries are particularly encouraged to apply. Qualifications. A Ph.D. in Psychology, Neuroscience, Organizational Sciences, or a related STEM field is required at the time of appointment. Candidates should have a strong record of academic accomplishments commensurate with their current academic rank and an externally funded research program or show potential to establish one. Candidates should have a demonstrated commitment to excellence in teaching and mentorship and will be expected to contribute to the undergraduate and graduate instructional missions of the School. Consistent with the School, College, and Institutional values, successful candidates will be expected to foster diversity and inclusion through their teaching, mentorship, service, and research. Applications can be submitted online (bit.ly/Join-us-at-GT-Psych) and should include a Cover Letter, Curriculum Vitae (including a list of publications), Research Statement, Teaching Statement, DEI (diversity, equity, and inclusion) statement, and contact information of at least three individuals who have agreed to provide a reference in support of the application if asked. Evaluation of applications will begin October 10th, 2022 and continue until all positions are filled. Questions about this search can be addressed to faculty_search at psych.gatech.edu. Portal questions will be answered by Tikica Platt, the School?s HR director, and questions about positions by the co-chairs of the search committee, Ruth Kanfer and Tansu Celikel. Yours Tansu -- Tansu Celikel, PhD (he/him) Professor and Chair, School of Psychology Georgia Institute of Technology [cid:35b50f36-80dc-4c3e-9a33-7edb1e7b490e] This e-mail might have reached your inbox after working hours. However, please don?t feel obliged to read or respond to any of my emails outside of your own working hours. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-zyi2gcxl.png Type: image/png Size: 28845 bytes Desc: Outlook-zyi2gcxl.png URL: From suashdeb at gmail.com Tue Aug 30 23:00:49 2022 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 31 Aug 2022 08:30:49 +0530 Subject: Connectionists: For ISMSI23 (Kuala Lumpur) Message-ID: Dear friends and esteemed colleagues, Warmest greetings to all with the hope that all of you are safe and doing well. This is to share with you that the submission deadline for ISMSI 2023, (an annual international event of "India International Congress on Computational Intelligence" http://www.iicci.in ) is 3 months away. For more pertinent info regarding conference proceedings, special issue of SCIE indexed journal as well as keynote speakers etc, pls. visit the conference website http://ismsi.org/ Hope you will initiate the necessary steps for submission of your manuscripts?.. Thank you and with warm regards, Suash Deb General Chair, ISMSI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From donatello.conte at univ-tours.fr Wed Aug 31 04:54:27 2022 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Wed, 31 Aug 2022 10:54:27 +0200 Subject: Connectionists: First CfP 2nd Edition of Graph Models for Learning and Recognition (GMLR) Track at 37th ACM-SAC 2022 in Brno, Czech Republic Message-ID: <026d01d8bd17$46d325d0$d4797170$@univ-tours.fr> --------------------------------------- Apologies for multiple copies --------------------------------------- Call for Papers Graph Models for Learning and Recognition (GMLR) Track The 38th ACM Symposium on Applied Computing (SAC 2023) March 27 - April 2, 2023, Tallinn, Estonia http://phuselab.di.unimi.it/GMLR2023 Important Dates =============== Submission of regular papers: October 1, 2022 Notification of acceptance/rejection: November 19, 2022 Camera-ready copies of accepted papers: December 6, 2022 SAC Conference: March 27 - April 2, 2023 Motivations and topics ====================== The ACM Symposium on Applied Computing (SAC 2023) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2023 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Tallinn, Estonia. The technical track on Graph Models for Learning and Recognition (GMLR) is the second edition and is organized within SAC 2023. Graphs have gained a lot of attention in the pattern recognition community thanks to their ability to encode both topological and semantic information. Despite their invaluable descriptive power, their arbitrarily complex structured nature poses serious challenges when they are involved in learning systems. Some (but not all) of challenging concerns are: a non-unique representation of data, heterogeneous attributes (symbolic, numeric, etc.), and so on. In recent years, due to their widespread applications, graph-based learning algorithms have gained much research interest. Encouraged by the success of CNNs, a wide variety of methods have redefined the notion of convolution and related operations on graphs. These new approaches have in general enabled effective training and achieved in many cases better performances than competitors, though at the detriment of computational costs. Typical examples of applications dealing with graph-based representation are: scene graph generation, point clouds classification, and action recognition in computer vision; text classification, inter-relations of documents or words to infer document labels in natural language processing; forecasting traffic speed, volume or the density of roads in traffic networks, whereas in chemistry researchers apply graph-based algorithms to study the graph structure of molecules/compounds. This track intends to focus on all aspects of graph-based representations and models for learning and recognition tasks. GMLR spans, but is not limited to, the following topics: ? Graph Neural Networks: theory and applications ? Deep learning on graphs ? Graph or knowledge representational learning ? Graphs in pattern recognition ? Graph databases and linked data in AI ? Benchmarks for GNN ? Dynamic, spatial and temporal graphs ? Graph methods in computer vision ? Human behavior and scene understanding ? Social networks analysis ? Data fusion methods in GNN ? Efficient and parallel computation for graph learning algorithms ? Reasoning over knowledge-graphs ? Interactivity, explainability and trust in graph-based learning ? Probabilistic graphical models ? Biomedical data analytics on graphs Authors of selected top papers of this track will be asked to publish an extended version in a Special Issue of a high-impact Journal (the journal will be announced later). Track Chairs ============ Donatello Conte (University of Tours) Alessandro D'Amelio (University of Milan) Giuliano Grossi (University of Milan) Raffaella Lanzarotti (University of Milan) Jianyi Lin (Universit? Cattolica del Sacro Cuore) Scientific Program Committee ============================ Annalisa Barla (University of Genoa) Davide Boscaini (Bruno Kessler Foundation) Vittorio Cuculo (University of Milan) Samuel Feng (Sorbonne University) Gabriele Gianini (University of Milan) Alessio Micheli (University of Pisa) Carlos Oliver (ETH Z?rich) Maurice Pagnucco (University of New South Wales) Ryan A. Rossi (Adobe Research) Jean-Yves Ramel (University of Tours) (others to be confirmed) Submission Guidelines ===================== Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission. SAC No-Show Policy ================== Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhccsymposium2022 at gmail.com Wed Aug 31 04:54:53 2022 From: bhccsymposium2022 at gmail.com (BHCC BHCC) Date: Wed, 31 Aug 2022 10:54:53 +0200 Subject: Connectionists: [CFP] BHCC 2022 - Online - Call For Papers (last days for submission!) Message-ID: *BHCC 2022 - Call For Papers* The Fourth Symposium On Biases In Human Computing And Crowdsourcing ( https://bhcc2022.org/*) will take place ONLINE, *on *12 - 14 October 2022.* *(FREE OF CHARGE EVENT)* Deadline for papers submission approaching: 1 September 2022 AoE The goal of this symposium is to analyze both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures, and methods to track bias, as well as methodologies to prevent and solve bias. We will provide a framework for discussion among scholars, practitioners, and other interested parties, including industry, crowd workers, requesters, and crowdsourcing platform managers. We expect contributions combining ideas from different disciplines, including computer science, psychology, economics, and social sciences. *Topics Of Interest* Topics of interest include (but are not limited to): - Biases in Human Computation and Crowdsourcing - Human sampling bias - Effect of cultural, gender, and ethnic biases - Effect of human in the loop training and past experiences - Effect of human expertise vs interest - Bias in experts vs. bias in crowdsourcing - Bias in outsourcing vs bias in crowdsourcing - Bias in task selection - Task assignment/recommendation for reducing bias - Effect of human engagement on the bias - Responsibility and ethics in human computation and bias management - Preventing bias in crowdsourcing and human computation - Creating awareness of cognitive biases among human agents - Measuring and addressing ambiguities and biases in human annotation - Human factors in AI - Using Human Computation and Crowdsourcing for Bias Understanding and Management - Biases in Human-in-the-loop systems - Identifying new types of cognitive bias in data or content - Measuring bias in data or content - Removing bias in data or content - Dealing with algorithmic bias - Fake news detection - Diversification of sources by means - Provenance and traceability - Long-term crowd engagement *Submission Guidelines* We welcome the submission of research papers and abstracts which describe original work that has not been submitted or is currently under review, has not been previously published nor accepted for publication elsewhere, in any other journal or conference. Submissions of the research papers must be in English, in PDF format, and be in the current CEUR-WS single-column conference format. We will follow CEUR-WS guidelines, meet their preconditions, and expect to get the proceedings published. However, note that there is no guarantee that our volume will get published at CEUR-WS. We welcome the submission of the following types of contributions: - Full papers should be at most 10 pages in length (including figures, tables, appendices, and references); - Short papers should be at most 5 pages in length (including figures, tables, appendices, and references); - Abstracts should be at most 1 page in length (including figures, tables, appendices, and references), should contain just a title and the abstract, and should detail demos or relevant work or ideas which are under development. They can not contain references. We implement a double-blind review process. Submissions must be anonymous and the submission must be made via EasyChair: https://easychair.org/conferences/?conf=bhcc2022. *Important Dates* - Full, Short, and Abstract papers due: 1 September 2022 AoE (firm deadline) - Notifications: 10 September 2022 - Conference: 12, 13, and 14 October 2022 *Chairs* - General Chair: Lorenzo Bracciale (University of Rome "Tor Vergata") - General Chair: Kevin Roitero (University of Udine) - Proceedings and Website Chair: Michael Soprano (University of Udine) - Social Media Chair: David La Barbera (University of Udine) - Sponsorship Chair: Danula Hettiachchi (RMIT University) *Contact* bhccsymposium2022 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From dthakur at cdt.org Wed Aug 31 18:15:07 2022 From: dthakur at cdt.org (Dhanaraj Thakur) Date: Wed, 31 Aug 2022 18:15:07 -0400 Subject: Connectionists: Applications are open for CDT's Non-Residential Fellows program (2023) Message-ID: <3f7d1de2-2339-998c-6342-d4ca0ff141f9@cdt.org> Hi everyone, The Center for Democracy & Technology (CDT) is now accepting applications for its 2023 cohort of non-residential Fellows. Our work addresses several tech policy areas including the use of AI and the implications for privacy, free expression and content moderation, security and surveillance, and election integrity, among others. The Fellows program is a great opportunity for researchers to use their work to inform important tech policy debates. This includes opportunities to publish their work, particularly for non-academic audiences; attending and potentially presenting at CDT events that include industry, government, civil society, and academic audiences; and potentially participating in CDT led events to directly engage policy-makers in the U.S., the EU, and elsewhere. In addition, new Fellows will join an amazing network of researchers and academics . We encourage applications from interested persons who will commit to a two-year, nonresident engagement and possess a Ph.D., JD, or equivalent in their respective field of study. This can include but is not limited to communication, public policy, sociology, psychology, computer science, economics, law, anthropology, etc. Interested applicants should submit a cover letter, including areas of interest and how they are aligned with CDT?s work, resume, and one relevant writing sample which should already be published. Please use this link to submit your application . To request additional information please contact research at cdt.org . Feel free to share with relevant colleagues. Thank you, Dhanaraj -- *Dhanaraj Thakur* (he/him) | Research Director Center for Democracy & Technology |*cdt.org * *E:* dthakur at cdt.org | *P:*?+1 202 407 8849 | @thakurdhanaraj -------------- next part -------------- An HTML attachment was scrubbed... URL: