From pal.johan.from at nmbu.no Thu Aug 1 09:07:14 2019 From: pal.johan.from at nmbu.no (=?iso-8859-1?Q?P=E5l_Johan_From?=) Date: Thu, 1 Aug 2019 13:07:14 +0000 Subject: Connectionists: [jobs] Software engineer to develop robotic strawberry harvester Message-ID: <6a8203f29d0f4d8090dd8fbd4227e2c8@EXCH-MBX04.NMBU.NO> Job opportunity: Software Engineer NORONN is an ambitious start-up based in Norway and scaling up for commercialisation. We develop the world's fastest and most accurate robotic strawberry harvesters. We are looking for a mechatronic engineer to join our highly competent team. The right candidate will play an important role in making the world's fastest and most efficient automatic strawberry harvester ready for the international market. Our solution is based on advanced Robotics, Artificial Intelligence and Deep Learning. Position descriptions: This is a 1-year full-time position to participate in developing a robotic strawberry harvester. The ambitions is to do full-scale testing, validation and make a go-to-market strategy. There is a possibility of extending the contract after the one year period. Main task: Training and running a 3D convolutional neural network for strawberry detection and localization. Industrial-level software design and development for strawberry harvesting robots, including the improvement on the current software, and design and integration of more efficient and robust system. User-friendly interface design Qualification requirements: * BSc or MSc degree in software engineering, computer science or robotics. * Proficiency in C++ and Python * Desired experience in ROS, PCL and OpenCV * Experience in development of industrial-level products * Good communication in English Compensation and benefits * Annual salary 420.000-480.000 NOK (gross) depending on experience. * Enrolled in Norwegian pension and health benefits. * Be one of the very first employees in a newly formed company. Applications is welcomed as soon as possible to katharina.asting at innokra.com, For questions contact P?l Johan From + 47 906 90 932, or Katharina Asting + 47 918 08 417 --- P?l Johan From, Ph.D. Professor Norwegian University of Life Sciences Faculty of Science and Technology [cid:833583F8-D3AC-4EEE-869A-3638B53186EC] tel: +47 67231603 cel: +47 90690932 e-mail: pafr at nmbu.no -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10560 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Software Engineer Noronn.pptx Type: application/vnd.openxmlformats-officedocument.presentationml.presentation Size: 2632313 bytes Desc: Software Engineer Noronn.pptx URL: From education at humanbrainproject.eu Thu Aug 1 03:05:07 2019 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Thu, 1 Aug 2019 09:05:07 +0200 Subject: Connectionists: Neuroinformatics 2019: Hands-on training opportunities on 31 August Message-ID: Dear all, In the context of Neuroinformatics 2019 , 3 hands-on workshops are taking place on 31 August. The courses offer interactive training in tools and approaches related to the work of the Human Brain Project. The Virtual Brain: Node #9 Workshop This workshop will explain the fundamental principles of full brain network modelling using The Virtual Brain (TVB) open-source neuroinformatics platform. The programme combines oral presentation and hands-on sessions, which allow participatns to immediately apply the concepts from the lectures to their simulations. Registration deadline: 31 July 2019 Contact: julie.courtiol at charite.de Neuroscience data integration through use of digital murine brain atlases This full-day course combines lectures and hands-on training sessions and introduces participants to key concepts and methods for data sharing, and the 3D mouse and rat brain reference atlases used for spatial data integration. Registration deadline: 15 August 2019 Contact: m.e.brigg at medisin.uio.no Simulating the brain with the Brain Simulation Platform This short course introduces participants to the Brain Simulation Platform (BSP) of the Human Brain Project (HBP). After the course, participants will be able to use the BSP and access HPC systems to configure and run simulations, to visualise and analyse simulation results, and to form collaborative groups interested in exploring scientific issues of common interest. Registration deadline: 15 August 2019 Contact: bsp-support at humanbrainproject.eu If you have further questions, please feel free to contact education at humanbrainproject.eu . We are looking forward to seeing you in Warsaw! Theresa Rass HBP Education Programme Project Manager - Targeted Engagement and Knowledge Transfer Medical University Innsbruck (MUI) M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71246 Mobile Phone: +43 676 871672246 Email: education at humanbrainproject.eu Follow us on Twitter, Facebook and LinkedIn! Keep up with the Education Programme?s latest news, event information, job offers, videos and more. Share our news with your friends and colleagues to help spreading our education and training opportunities throughout the international research community. Where to follow: Twitter: @HBP_Education Facebook: @hbpeducation LinkedIn: HBP Education Programme -------------- next part -------------- An HTML attachment was scrubbed... URL: From pal.johan.from at nmbu.no Thu Aug 1 09:07:13 2019 From: pal.johan.from at nmbu.no (=?iso-8859-1?Q?P=E5l_Johan_From?=) Date: Thu, 1 Aug 2019 13:07:13 +0000 Subject: Connectionists: [jobs] Mechatronics engineer to develop robotic strawberry harvester Message-ID: <5d0f8b8d821648348dfb7d6b29f744a0@EXCH-MBX04.NMBU.NO> Job opportunity: Mechatronics Engineer NORONN is an ambitious start-up based in Norway and scaling up for commercialisation. We develop the world's fastest and most accurate robotic strawberry harvesters. We are looking for a mechatronic engineer to join our highly competent team. The right candidate will play an important role in making the world's fastest and most efficient automatic strawberry harvester ready for the international market. Our solution is based on advanced Robotics, Artificial Intelligence and Deep Learning. Position descriptions: This is a 1-year full-time position to participate in developing a robotic strawberry harvester. The ambitions is to do full-scale testing, validation and make a go-to-market strategy. There is a possibility of extending the contract after the one year period. Main tasks * Industrial-level mechanical design of the strawberry harvesting robot, including the whole system architecture design and post-harvesting logistics * Industrial level electronics and control system development of the strawberry harvesting robot * System integration Qualification requirements: * A master or PhD degree in mechatronic engineering, agricultural engineering or robotics. * Proficiency in machine design, 3D modeling and embedded control * Experience in construction of industrial-level agricultural robots * Hands-on experience on designing, building and implementing robotics systems * Familiar with PCB board design Compensation and benefits * Annual salary 420.000-480.000 NOK (gross) depending on experience. * Enrolled in Norwegian pension and health benefits. * Be one of the very first employees in a newly formed company. Applications are welcomed as soon as possible to katharina.asting at innokra.com, For questions contact P?l Johan From + 47 906 90 932, or Katharina Asting + 47 918 08 417 --- P?l Johan From, Ph.D. Professor Norwegian University of Life Sciences Faculty of Science and Technology [cid:833583F8-D3AC-4EEE-869A-3638B53186EC] tel: +47 67231603 cel: +47 90690932 e-mail: pafr at nmbu.no -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10560 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Mechatronics Engineer Noronn.pptx Type: application/vnd.openxmlformats-officedocument.presentationml.presentation Size: 2632358 bytes Desc: Mechatronics Engineer Noronn.pptx URL: From antonior at usp.br Thu Aug 1 10:09:47 2019 From: antonior at usp.br (Antonio Roque) Date: Thu, 1 Aug 2019 11:09:47 -0300 Subject: Connectionists: Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil Message-ID: *Positions for Postdoctoral Researchers* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of S?o Paulo, Brazil, and funded by the S?o Paulo Research Foundation (FAPESP), is offering two post-doctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the post-doc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (main campus, S?o Paulo), USP campus Ribeir?o Preto or University of Campinas (UNICAMP). We seek candidates capable of developing independent research in one of the research lines below. 1. Stochastic and/or computational modeling of the brain functioning; 2. Acquisition, processing and quantitative analysis of electrophysiological data; 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered; - A strong mathematical and / or computational background and experience with computers and programming. Previous experience with development and / or simulation of neural brain models, complex networks, and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming; - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: - A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic / electric field simulation will be favorably considered; - A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. *Application Instructions* Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see www.fapesp.br/en/6351 for instructions); - List of publications, with links to those available online; - A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program. - Pointers to other research-related output, such as software, web pages. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl at numec.prp.usp.br. *FAPESP requirements* a. The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship. b. The fellowship demands full-time dedication to the research project (except under conditions outlined in resolution PR No 13/2009, 15 July 2009). c. The fellowship holder may not hold any formal or informal employment nor receive, during the term of the fellowship, a fellowship from another entity, salary or remuneration deriving from the exercise of activities of whatever nature (except under conditions outlined in the decree PR No 13/2009, 15 July 2009). For more information about the scholarships see http://www.fapesp.br/bolsas/pd. *Timetable* Candidates are encouraged to apply at their earliest convenience until August 27, 2019. Appointments are expected to start by October 1st, 2019. The initial period of the position lasts for 12 months, with possible renovations for up to four years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of R$ 7,373.10 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. Check the rules of FAPESP post-doctoral fellowships at: http://www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887> -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Fri Aug 2 08:02:10 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Fri, 2 Aug 2019 14:02:10 +0200 Subject: Connectionists: [CfP] ISWC 2019 - **Deadline extended** for early registration, additional student travel funding, Minute Madness & more ISWC info Message-ID: 18th International Semantic Web Conference (ISWC 2019) ?Knowledge Graphs, Linked Data, Linked Schemas and AI on the Web? Auckland, New Zealand, 26-30 October, 2019 https://iswc2019.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. ISWC attracts a large number of high quality submissions every year and participants from both industry and academia. ISWC brings together researchers from different areas, such as artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for accessing, interpreting and using information on the Web in a more effective way. Follow us: Twitter: @iswc_conf , #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ Become part of ISWC 2019 by submitting to the following tracks & activities or just attend them! (All deadlines are 23:59:59 Hawaii time.) In this announcement: * Highlights 1. Early Registration 2. Student Travel Grants 3. Minute Madness 4. Various * Highlights ******************************************* * ISWC Early Registration: The deadline for the early registration has been extended until August 16. * Student Travel Grants: Additional student travel funding from the NSF is available to students attending higher education institutions in the US. * Various: Find out **important travel information** here https://iswc2019.semanticweb.org/visa-information/ 1. ISWC Early Registration ******************************************* The deadline for the early registration has been extended until August 16. Further info: https://iswc2019.semanticweb.org/registration/ 2. Student Travel Grants ******************************************* Additional student travel funding from the NSF is available to students attending higher education institutions in the US. Find more details and how to apply for a student travel funding by following the steps here: https://iswc2019.semanticweb.org/student-travel-grants/ == Important Dates == Applications due: August 5, 2019 Notification: August 7, 2019 3. Minute Madness ******************************************* The Minute Madness is a tradition at the International Semantic Web Conference that started back in 2011. It has always been an entertaining session that provides conference participants with a quick and fun overview of the presented works at the conference. This year's ISWC will feature for the first time a stand-alone Minute Madness Call. This means, the session will be opened up to every conference attendee to submit a contribution to the Minute Madness call. Although we aim to accommodate as many talk proposals as possible, the submissions in the form of a 1-minute video (using strictly one slide) will be ranked by a Program Committee and the best 40 contributions will be selected. Accepted Posters and Demos, willing to advertise themselves before the dedicated session, will need to submit a Contribution to the Minute Madness call, but will be assessed separately from the other submissions. The rules for submissions and for the Minute Madness are as follows: 1. You have exactly one slide that will be shown for exactly one minute. The slide must not have any animation. Your video submissions will also be exactly one minute, but it can be a mobile recording of yourself speaking, dancing, singing or any other form of communication that conveys your message. However, any recording beyond the minute will not be assessed. 2. During the session the slides will be advanced automatically. In between the 1-minute talks a transition slide will be shown for five seconds. This transition slide will be generated by us and it will contain the title of the next 1-minute talk. 3. Given the limited time, it is highly advisable to avoid trying to present technical details of your work. Instead, you should provide the audience with a very high-level idea, ideally, presented in a catchy, entertaining manner. Please, remember that the minute madness is about combining science with entertainment, so be prepared to captivate the audience, no boring talks allowed! If you have any questions, don?t hesitate to ask the Chairs at iswc2019-minute-madness at inria.fr. == Important Dates == Submission Deadline: September 30, 2019 (23:59 Hawaii time) (strict deadline!) The Full Call for Contributions for the Minute Madness is available at: https://iswc2019.semanticweb.org/call-for-contributions-minute-madness/ == Minute Madness Chairs == Contact: iswc2019-minute-madness at inria.fr Irene Celino, Cefriel, Milano, Italy Armin Haller, Australian National University, Canberra, Australia 4. Various ******************************************* Find out important travel information here https://iswc2019.semanticweb.org/visa-information/ Find out more about the ISWC diverse topics https://iswc2019.semanticweb.org/accepted-papers/ and exciting keynotes: https://iswc2019.semanticweb.org/keynote-euzenat/ https://iswc2019.semanticweb.org/keynote-melanie/ https://iswc2019.semanticweb.org/keynote-dougal/ See you all in Auckland! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Fri Aug 2 06:10:47 2019 From: hongzhi.kuai at gmail.com (Hongzhi Kuai) Date: Fri, 2 Aug 2019 19:10:47 +0900 Subject: Connectionists: Call for Papers: Brain Informatics 2019 ( Full Paper Deadline: Aug 4th ) Message-ID: <5d440c27.1c69fb81.23ff1.afb1@mx.google.com> [Apologies if you receive this more than once] ** CALL FOR PAPERS ** The 12th International Conference on Brain Informatics (BI'19) December 13-15, 2019, Hainan, China http://wi-consortium.org/conferences/bi2019/ --- Brain Science meets Artificial Intelligence --- =================================================== Full papers Submission deadline: August 4th, 2019 (Extended) Workshop/special session papers Submission deadline: August 4th, 2019 (Extended) Abstracts Submission deadline: August 30th, 2019 (Extended) ================ Keynote Speakers ================ Aaron Ciechanover (Nobel Prize in Chemistry, The Technion ? Israel Institute of Technology, Israel) Lin Chen (Institute of Biophysics, Chinese Academy of Sciences, China) Hongkui Zeng (Allen Institute for Brain Science, USA) Michael Fox (Harvard Medical School and Massachusetts General Hospital, USA) Hesheng Liu (Harvard Medical School and Massachusetts General Hospital, USA) Jin Luo (Capital Normal University, China) Tianzai Jiang (Institute of Automation, Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) =================================================== The International Conference on Brain Informatics series (BI) has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The BI'19 provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications. The BI'19 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing * Paper Submission and Publications * Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal (https://braininformatics.springeropen.com/). IMPORTANT DATES: ================ August 4th, 2019: Submission deadline for full papers (Extended) August 4th, 2019: Submission deadline for workshop/special session papers (Extended) September 6th, 2019: Notification of full paper acceptance (Extended) September 6th, 2019: Notification of workshop/special session paper acceptance (Extended) August 30th, 2019: Submission deadline for abstracts (Extended) September 20th, 2019: Notification of abstract acceptance (Extended) December 13th, 2019: Tutorials, workshops and special sessions December 14th - 15th, 2019: Main conference ================= Conference Venue ================= Hainan University Haikou, at Hainan Island, China =========== ORGANIZERS =========== General Chair Qingming Luo (Hainan University, China) Program Chairs Peipeng Liang (Capital Normal University, China) Vinod Goel (York University, Canada) Chunlei Shan (Shanghai U. Traditional Chinese, Medicine, China) Organizing Chairs Xin Lou (Chinese PLA General Hospital, China) Nan Ma (Beijing Union University, China) Feng Xu (Tsinghua University, China) Workshop/Special-Session Chairs Yang Yang (Maebashi Institute of Technology, Japan) Mufti Mahmud (Nottingham Trent University, UK) Publicity Chairs Zhiqi Mao (Chinese PLA General Hospital, China) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Steering Chairs Qionghai Dai (Tsinghua University, China) Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Yang Yang Email: yang at maebashi-it.org New Visa-Free Policy for Hainan Individuals from 59 countries can visit the Hainan province for 30 days visa-free as long as they book their tour through travel agencies. Countries benefiting from the policy include Russia, the United Kingdom, France, Germany, Norway, Ukraine, Italy, Austria, Finland, the Netherlands, Denmark, Switzerland, Sweden, Spain, Belgium, the Czech Republic, Greece, Hungary, Iceland, Poland, Portugal, Ireland, the United States, Canada, Brazil, Mexico, Argentina, Chile, Australia, New Zealand, South Korea, Japan, Singapore, Malaysia, Thailand, Kazakhstan, the Philippines, Indonesia and the UAE, etc. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitri.ognibene at gmail.com Thu Aug 1 12:27:21 2019 From: dimitri.ognibene at gmail.com (Dimitri Ognibene) Date: Thu, 1 Aug 2019 17:27:21 +0100 Subject: Connectionists: [Job][Postdoc]: 4yrs senior researcher position and Phd scholarship on Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation) References: <1F5E81A3-A904-43FD-B6E2-0BDDB03AB0EF@essex.ac.uk> Message-ID: ** Apologies for cross-postings ** Dear Colleagues, I would be very grateful if you could forward this job advert to anybody who could be interested. The highlight is on machine learning for user interaction modelling. Here are some information for the positions. ** Application deadline 14th of August** To apply https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=773982KP3K&WVID=9918109NEm&LANG=USA https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-modelling A PhD scholarship on the same topics is also out with deadline on the 30th of August Check http://sites.google.com/site/dimitriognibenehomepage/ jobs Kind regards, Dimitri *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project ?COURAGE: A Social Media Companion Safeguarding and Educating Students?. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user beliefs dynamics modelling aspect and the process of analysing visual and textual content. More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art CV, NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=773982KP3K&WVID=9918109NEm&LANG=USA For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 Applicants are encouraged to contact?Dr. Dimitri Ognibene (dimitri.ognibene at essex.ac.uk ) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Fri Aug 2 06:09:39 2019 From: hongzhi.kuai at gmail.com (Hongzhi Kuai) Date: Fri, 2 Aug 2019 19:09:39 +0900 Subject: Connectionists: Call for Papers: Brain Informatics 2019 ( Full Paper Deadline: Aug 4th ) Message-ID: <5d440be3.1c69fb81.b9d09.fd3c@mx.google.com> [Apologies if you receive this more than once] ** CALL FOR PAPERS ** The 12th International Conference on Brain Informatics (BI'19) December 13-15, 2019, Hainan, China http://wi-consortium.org/conferences/bi2019/ --- Brain Science meets Artificial Intelligence --- =================================================== Full papers Submission deadline: August 4th, 2019 (Extended) Workshop/special session papers Submission deadline: August 4th, 2019 (Extended) Abstracts Submission deadline: August 30th, 2019 (Extended) ================ Keynote Speakers ================ Aaron Ciechanover (Nobel Prize in Chemistry, The Technion ? Israel Institute of Technology, Israel) Lin Chen (Institute of Biophysics, Chinese Academy of Sciences, China) Hongkui Zeng (Allen Institute for Brain Science, USA) Michael Fox (Harvard Medical School and Massachusetts General Hospital, USA) Hesheng Liu (Harvard Medical School and Massachusetts General Hospital, USA) Jin Luo (Capital Normal University, China) Tianzai Jiang (Institute of Automation, Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) =================================================== The International Conference on Brain Informatics series (BI) has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The BI'19 provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications. The BI'19 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing * Paper Submission and Publications * Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal (https://braininformatics.springeropen.com/). IMPORTANT DATES: ================ August 4th, 2019: Submission deadline for full papers (Extended) August 4th, 2019: Submission deadline for workshop/special session papers (Extended) September 6th, 2019: Notification of full paper acceptance (Extended) September 6th, 2019: Notification of workshop/special session paper acceptance (Extended) August 30th, 2019: Submission deadline for abstracts (Extended) September 20th, 2019: Notification of abstract acceptance (Extended) December 13th, 2019: Tutorials, workshops and special sessions December 14th - 15th, 2019: Main conference ================= Conference Venue ================= Hainan University Haikou, at Hainan Island, China =========== ORGANIZERS =========== General Chair Qingming Luo (Hainan University, China) Program Chairs Peipeng Liang (Capital Normal University, China) Vinod Goel (York University, Canada) Chunlei Shan (Shanghai U. Traditional Chinese, Medicine, China) Organizing Chairs Xin Lou (Chinese PLA General Hospital, China) Nan Ma (Beijing Union University, China) Feng Xu (Tsinghua University, China) Workshop/Special-Session Chairs Yang Yang (Maebashi Institute of Technology, Japan) Mufti Mahmud (Nottingham Trent University, UK) Publicity Chairs Zhiqi Mao (Chinese PLA General Hospital, China) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Steering Chairs Qionghai Dai (Tsinghua University, China) Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Yang Yang Email: yang at maebashi-it.org New Visa-Free Policy for Hainan Individuals from 59 countries can visit the Hainan province for 30 days visa-free as long as they book their tour through travel agencies. Countries benefiting from the policy include Russia, the United Kingdom, France, Germany, Norway, Ukraine, Italy, Austria, Finland, the Netherlands, Denmark, Switzerland, Sweden, Spain, Belgium, the Czech Republic, Greece, Hungary, Iceland, Poland, Portugal, Ireland, the United States, Canada, Brazil, Mexico, Argentina, Chile, Australia, New Zealand, South Korea, Japan, Singapore, Malaysia, Thailand, Kazakhstan, the Philippines, Indonesia and the UAE, etc. -------------- next part -------------- An HTML attachment was scrubbed... URL: From volker.roth at unibas.ch Fri Aug 2 09:06:02 2019 From: volker.roth at unibas.ch (Volker Roth) Date: Fri, 2 Aug 2019 13:06:02 +0000 Subject: Connectionists: University of Basel: Postdoc and PhD positions in Data Analytics Message-ID: University of Basel, Department of Mathematics and Computer Science Applications are invited for several Postdoc and PhD positions in Data Analytics. Possible focus areas include Computer Vision, Machine Learning, Statistical Causality and Computational Medicine/Biology/Chemistry. The positions are embedded into our joint PhD program "Data Analytics" run by several research groups in Computer Science, Applied Mathematics and Biology at the University of Basel., see also https://dmi.unibas.ch/en/academics/computer-science/doctoral-program-data-analytics/ Prerequisites: Candidates should have a Master's degree in Computer Science, Mathematics, Physics, or related fields. They are interested to work in an interdisciplinary research environment and have good communication skills (English). Successful candidates will be awarded a fellowship with a competitive salary. Applications with a full CV, short statement of research interests and names of at least one referee should be submitted in electronic form with the subject line "PhD / Postdoc in Data Analytics" to: volker.roth at unibas.ch and thomas.vetter at unibas.ch Submission deadline: September 30, 2019 ======================================================================= Prof. Dr. Volker Roth Department of Mathematics and Computer Science University of Basel Tel.: +41-(0)61-2070549 Spiegelgasse 1, email: volker.roth at unibas.ch CH-4051 Basel, Switzerland https://bmda.dmi.unibas.ch/ ======================================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Sat Aug 3 08:19:10 2019 From: li.zhaoping at tuebingen.mpg.de (Zhaoping Li) Date: Sat, 3 Aug 2019 14:19:10 +0200 Subject: Connectionists: Lab manager position available in in the Max Planck Institute in Tuebingen Germany Message-ID: *The Department for Sensory and Sensorimotor Systems of the **Max-Planck-Institute for Biological **Cybernetics*studies the processing of sensory information (visual, auditory, tactile, olfactoy) in the brain and the use of this information for directing body movements and making cognitive decisions. Theresearch is highly interdisciplinary, and usestheoretical and experimental approaches, including human psychophysics, and animal behavior, imaging, electrophysiology, and computational modelling. Department website:_https://www.kyb.tuebingen.mpg.de/sensory-and-sensorimotor-systems_ We are currently looking for a *Lab Manager (m/f/d) 100%* to join us at the next possible opportunity. *Responsibilities* You will support, coordinate, and/or manage * scientific equipment and purchases * IT/programming * website, wiki, and social media content * general administrative processes at the department * project planning and managing deadlines * internal and external workshops and other events *Requirements* * Completed university degree (Master?s level) in natural sciences (Mathematics, Computer Science, Physics, Biology or a similar field), ideally a PhD * Strong command of both English and German**(at least C1 level) * Good skills in IT/programming * The willingness and capability to learn about the research topics * Very strong management and organizational skills * Team player * Independent and responsible * A high level of resilience and professionalism *We offer:* We offer highly interesting, challenging and varied tasks; you will work closely and collaboratively with scientists, students, programmers, administrative staff, and IT support to help achieve the scientific goals of the department. A dedicated team awaits you in an international environment with regular opportunities for further education and training. The salary is paid in accordance with the collective agreement for the public sector (TVoeD Bund), according to your qualifications. This position is initially limited to two years, with the possibility of a permanent contract. The Max-Planck-Society seeks to employ more handicapped people and strongly encourages them to apply. Furthermore, we actively support the compatibility of work and family life. The Max-Planck-Society also seeks to increase the number of women in leadership positions and strongly encourages qualified women to apply. The Max-Planck-Society strives for gender equality and diversity. *Your application* Your application must contain a cover letter, a curriculum vitae, and relevant certificates. Please note that incomplete applications will not be considered. The position is available immediately and will be open until filled. Preference will be given to applications received by *August 31, 2019. *We look forward to receiving your online application by E-Mail in PDF format (in one file) to:_lizhaopinglab at tuebingen.mpg.de _, where also informal inquiries can be addressed. -------------- next part -------------- An HTML attachment was scrubbed... URL: From meteozay at gmail.com Sun Aug 4 02:20:26 2019 From: meteozay at gmail.com (Mete Ozay) Date: Sun, 4 Aug 2019 15:20:26 +0900 Subject: Connectionists: Final CFP: The First Workshop on Statistical Deep Learning in Computer Vision (Deadline Extension). Message-ID: Dear Colleagues, It is our pleasure to invite you to submit extended abstracts (4 pages long excluding references, with optional appendix) for oral and poster presentations at The First Workshop on Statistical Deep Learning in Computer Vision (SDL-CV) which will be held in conjunction with ICCV 2019. We will also invite selected papers for submission to a special issue on Statistical Deep Learning for Computer Vision in the International Journal of Computer Vision (IJCV). Extended versions of selected papers will be invited for book chapter publication. Submission Deadline (Extended): Aug 8, 2019 Workshop Website: http://www.sdlcv-workshop.com/ Please find the full CfP below. Kind regards, Mete Ozay on behalf of the organizers === Workshop Description === Deep learning has been a useful and primary toolbox to perform various computer vision tasks successfully in the recent years. Various seminal works have been proposed to explain the underlying theory and mechanisms of these successful algorithms, in order to further improve their various properties, such as generalization capacity of models, representation capacity of learned features, convergence and computational complexity of training methods. In this workshop, we consider statistical approaches employed to improve our understanding of deep learning, and to develop methods to boost their properties, with applications in computer vision, such as object recognition, detection, segmentation, tracking, scene description, visual question answering, robot vision, image enhancement and recovery. The workshop will consist of invited talks, oral talks, poster sessions and a research panel. Our target audience is graduate students, researchers and practitioners who have been working on development of novel statistical deep learning algorithms and/or their application to solve practical problems in computer vision. Accepted papers will present their results in the workshop in oral talks and poster sessions. We will also invite selected papers for submission to a special issue on Statistical Deep Learning for Computer Vision in the International Journal of Computer Vision (IJCV). Extended versions of selected papers will be invited for book chapter publication. === Covered Topics === We solicit original contributions that deploy statistical deep learning methods employed to perform various computer vision tasks including, but not limited to: - Statistical Understanding of Deep Learning -- Interpretable deep learning, quantitative measures and analyses - Statistical Normalization Methods -- Feature, weight, gradient and hybrid normalization methods - Uncertainty in Deep Learning -- Uncertainty measures, adversarial methods, intrinsic and extrinsic uncertainty of models - Information Theory of Deep Learning -- Information geometry, information bottleneck, rate distortion, etc. - Probabilistic Deep Learning -- Variational methods, graphical methods, Bayesian learning and inference -- Bayesian deep learning -- Neural network architecture search via probabilistic models - Stochastic Optimization for Deep Learning -- Optimization on Riemannian manifolds, topological manifolds, and product manifolds - Probabilistic Programming for Deep Learning -- Scene perception, logical reasoning, autonomous driving - Statistical Meta-learning Algorithms -- Few-shot learning/incremental learning for image classification and beyond -- Zero-shot learning for high-level vision tasks - Reinforcement Learning for Vision Systems -- RL algorithms and vision problems - Causal Deep Learning -- Causal inference, causal feature learning === Call for Papers === We invite submissions describing works in the domains suggested above or in closely-related areas. We encourage the submission of previously published material (clearly marked as such) that is closely related to the workshop topic. We will invite the best original papers for an oral plenary presentation. Accepted papers will be presented in oral/poster sessions at the workshop and appear in the CVF open access archive. The review process is single-blind. Each paper will receive strong accept (for oral candidate), accept or reject decision. Note that there is no author feedback phase during submission. We will also invite selected papers for submission to a special issue on Statistical Deep Learning for Computer Vision in the International Journal of Computer Vision (IJCV). Extended versions of selected papers will be invited for book chapter publication. Paper submission deadline: Aug 8, 2019 Author notification: Sep 4, 2019 Camera-ready deadline: Sep 25, 2019 === Submission Instructions === Format and paper length: A paper submission has to be in English, in pdf format, and at most FOUR pages (excluding references). The paper format must follow the same guidelines as used in the ICCV 2019 submissions. For further details, please see: http://www.sdlcv-workshop.com/ === Invited Speakers === We are proud to have a group of diverse invited speakers covering the entire spectrum of scene and and situation understanding research: * Xianfeng Gu, Stony Brook University * Alex Kendall, University of Cambridge * Yi Ma, University of California, Berkeley * Yingnian Wu, University of California, Los Angeles * Alan L. Yuille, Johns Hopkins University * Lizhong Zheng, Massachusetts Institute of Technology === Organizers === Ping Luo, HKU Mete Ozay, PKSHA Hongyang Li, CUHK Chaochao Lu, Cambridge University Lei Huang, IIAI Wenqi Shao, CUHK Xianfeng Gu, Stony Brook University Alan L. Yuille, Johns Hopkins University Xiaogang Wang, CUHK Yi Ma, University of California, Berkeley Lizhong Zheng, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Sun Aug 4 06:25:41 2019 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Sun, 4 Aug 2019 15:55:41 +0530 Subject: Connectionists: cfp - International Conference on Applied Soft computing and Communication Networks (ACN'19)- deadline approaching Message-ID: Apologies for cross-postings! Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: International Conference on Applied Soft Computing and Communication Networks (ACN'19) December 18-21, 2019, Trivandrum, Kerala, India http://www.acn-conference.org/2019/ ===================== Call for Papers ======================================= Proceedings by Springer in Lecture Notes in Networks and Systems Submission Deadline: August 10, 2019 EDAS Submission Link: http://edas.info/N26133 ----------------------------------------------------------------------------- ACN?19 aims to bring together researchers, practitioners, and academia to exchange and share their experiences and research results on all aspects of communication networks and networked systems, soft computing and machine learning. The conference will include keynote addresses, contributed papers, workshops, symposiums, and tutorials on a wide range of topics. Prospective authors are invited to submit high-quality manuscripts written in English (Double Blind Submissions). The submission of a paper implies that the paper is original and has not been submitted to elsewhere for possible publication. Topics of interest include but not limited to: Main Track: Communication Networks -------------------------------------- -- Big Data Network Analytics -- Biological and Nature-Inspired Algorithms -- Blockchain and Networking -- Complex Networks -- Cyber Trust and Security -- Delay- or Disruption-Tolerant Networking -- Disaster-resilient Communication Networks -- Digital Forensics and Biocybernetics -- Distributed Computing, Data Fusion and Aggregation -- Distributed Smart Sensing -- Fault Tolerance and Dependability -- Fog/Edge/Cloud Computing -- Green Communications and Networking -- Human-Machine Inference Networks -- Information Hiding/Digital Watermarking -- Internet of Things (IoT) and Cyber-physical Networked Systems -- Intrusion Detection and Mitigation Systems -- Millimeter-Wave Communications -- Mobile Computing and Vehicle Communications -- Mobility and Location Management -- Molecular Communications -- Multimedia Networking and Communication -- Multimodal Fusion/Biometrics -- Network Management and Autonomic Computing -- Nano Communication Networks -- Network Optimization -- Network Protocol Design/Analysis -- Networked Decision Systems -- Networked Robots and Resilience -- Network-on-Chip Architectures and Applications -- Next Generation Internet -- Performance Modelling, Quality of Service -- Privacy Protection Schemes and Sensitive Data Collection -- Recommendation Systems and Networks -- Resource Management/Congestion Control -- Routing and Traffic Engineering -- Satellite-Terrestrial Networks -- Sensor, Mesh, and Ad Hoc Networks -- Signal and Information Processing over Networks -- Smart Healthcare/Smart Living/Smart Cities -- Smart Communications Systems -- Social Networks and Crowdsourcing -- Software-Defined Optical Networks -- Surveillance Networks and Visual Intelligence -- Traffic Analysis and Engineering -- Visible Light Communication Networks -- VLSI Design and Communication Networks -- Wireless Body Area Networks -- Evolutionary and Swarm Algorithms -- Fuzzy Logic and Fuzzy Modelling -- Evolutionary Neuro-Fuzzy Systems -- Genetic Algorithms -- Immunological Computing -- Neural Computing -- Machine Learning/Deep Learning Special Track: Intelligent Industrial IoT (IIoT) ------------------------------------------------- -- Blockchain in IIoT Systems -- Cognitive Computing, Affective Computing, and Machine Learning -- Contextual Data Management and Mining Platforms -- Cyber-Physical Systems and Cyber-Physical Production Systems -- Deep Learning Methods for IIoT -- Digital Twin-Enabled Smart Industrial Systems -- Energy-Efficient Communications -- Evolutionary Computing and the IIoT -- Fault Diagnosis and Prognostic Management -- Future Internet and Network Design for IIoT -- Human Machine Interface in IIoT -- IIoT Architecture and Infrastructure -- Industrial Cloud and Edge Computing -- Industrial Communication and Networking Technologies -- Intelligent Robots Based-IIoT -- Internet of Vehicles -- Localization, Positioning and Tracking -- Mobile Crowd Sensing -- Multi-Modal Fusion -- Privacy Protected Discovery and Adaptation -- Real-Time Data Processing -- Security and Privacy Protection -- Smart Alerts and Notifications -- Smart Maintenance/Smart Manufacturing -- Smart Measurement Systems -- The Internet of Nano Things -- Wearable Sensor-Based Big Data Analysis -- Applications, Testbeds and Case Studies Key Dates: ----------- Papers Due: August 10, 2019 Acceptance Notification: September 20, 2019 Final Paper Deadline: October 31, 2019 COMMITTEE: http://www.acn-conference.org/2019/committee CONTACT US: acn.conference at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Mon Aug 5 13:18:17 2019 From: timofte.radu at gmail.com (Radu Timofte) Date: Mon, 5 Aug 2019 19:18:17 +0200 Subject: Connectionists: [Call for Papers & Participants] ICCV 2019 Advances in Image Manipulation workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 9 CHALLENGES AIM: 1st Advances in Image Manipulation workshop and challenges on bokeh effect simulation, RAW to RGB mapping, demoireing, real world super-resolution, constrained SR, extreme SR, quality mapping, video temporal SR In conjunction with ICCV 2019, November 2, Seoul, Korea. Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS - Image-to-image translation - Video-to-video translation - Image/video manipulation - Perceptual manipulation - Image/video generation and hallucination - Image/video quality assessment - Image/video semantic segmentation - Perceptual enhancement - Multimodal translation - Depth estimation - Image/video inpainting - Image/video deblurring - Image/video denoising - Image/video upsampling and super-resolution - Image/video filtering - Image/video de-hazing, de-raining, de-snowing, etc. - Demosaicing - Image/video compression - Removal of artifacts, shadows, glare and reflections, etc. - Image/video enhancement: brightening, color adjustment, sharpening, etc. - Style transfer - Hyperspectral imaging - Underwater imaging - Aerial and satellite imaging - Methods robust to changing weather conditions / adverse outdoor conditions - Image/video manipulation on mobile devices - Image/video restoration and enhancement on mobile devices - Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in ICCV style. http://iccv2019.thecvf.com/submission/main_conference/author_guidelines The review process is double blind. Accepted and presented papers will be published after the conference in the ICCV 2019 Workshops Proceedings. Author Kit: http://iccv2019.thecvf.com/files/iccv2019AuthorKit.zip Submission site: https://cmt3.research.microsoft.com/AIMW2019 WORKSHOP DATES ? *Regular Papers Submission Deadline: August 11, 2019* (*extended!*) ? Challenge Papers Submission Deadline: September 20, 2019 IMAGE CHALLENGES (*ongoing!*) 1. *Bokeh effect, *Tracks: (1) Fidelity, (2) Perceptual 2. *RAW-to-RGB Mapping*, Tracks: (1) Fidelity, (2) Perceptual 3. *Real World Super-Resolution*, Tracks: (1) Same Domain, (2) Target Domain 4. *Demoireing*, Tracks: (1) Fidelity, (2) Perceptual 5. *Constrained Super-Resolution*, Tracks: (1) Parameters, (2) Inference, (3) Fidelity 6. *Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual VIDEO CHALLENGES (*ongoing!*) 1. *Video Temporal Super-Resolution* 2. *Video Quality Mapping*, Tracks: (1) Supervised, (2) Unsupervised 3. *Video Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the AIM webpage: http://www.vision.ee.ethz.ch/aim19/ CHALLENGES DATES ? Release of train data: July 15, 2019 ? *Competitions end: September 9, 2019 *(*extended!*) ORGANIZERS ? Radu Timofte, ETH Zurich, Switzerland ? Shuhang Gu, ETH Zurich, Switzerland ? Ming-Hsuan Yang, University of California at Merced, US / Google AI ? Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland ? Kyoung Mu Lee, Seoul National University, Korea ? Eli Shechtman, Adobe Research ? Ming-Yu Liu, NVIDIA Research ? Zhiwu Huang, ETH Zurich, Switzerland ? Seungjun Nah, Seoul National University, Korea ? Richard Zhang, Adobe Research ? Andrey Ignatov, ETH Zurich, Switzerland ? Martin Danelljan, ETH Zurich, Switzerland SPONSORS (to be updated) ETH Zurich Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From compco2019 at ikw.uos.de Mon Aug 5 09:48:35 2019 From: compco2019 at ikw.uos.de (Computational Cognition 2019) Date: Mon, 5 Aug 2019 15:48:35 +0200 Subject: Connectionists: =?utf-8?q?=5BComCo-2019=5D_Call_for_participation?= =?utf-8?q?_and_contributions_-_Computational_Cognition_2019_-_Octo?= =?utf-8?q?ber_1-2=2C_2019=2C_Osnabr=C3=BCck=2C_Germany?= Message-ID: Call for participation and contributions: *Computational Cognition 2019 Workshop* 1-2 October 2019, Osnabr?ck, Germany www.comco2019.com ** An interdisciplinary networking event / scientific workshop ** We would like to draw your attention to an upcoming scientific community event. A lot is known about the neural signals underlying basic sensorimotor processes and also a fair bit about the cognitive processes involved in reasoning, problem-solving, or language. However, explaining how high-level cognition can arise from low-level mechanisms is a long-standing open problem in Cognitive Science. Therefore, this workshop tackles problems such as grammar learning, structured representations, or the production of complex behaviors with neural modeling, aiming to contribute to the re-integration of Cognitive Science and Artificial Intelligence. *COMCO 2019* brings together experts studying the mind from a computational point of view to better understand human and machine intelligence. Thus, if you are interested in the following or related fields, this event is for you: - Cognitive Science - Artificial Intelligence - Deep Learning - Neuroscience - Linguistics This workshop will combine poster sessions and, invited speakers and participants contributed talks in a networking and ideas-exchanging event on the splendid setting of the Botanical Garden in Osnabr?ck. Invited and confirmed speakers: - *Karl Friston*, University College London - *Roger Levy*, Massachusets Institute of Technology - *Colin Phillips*, University of Maryland - *Will Monroe*, Standford University and Duolingo - *Tim Kietzmann*, University of Cambridge - *Terrence Stewart*, University of Waterloo - *Dieuwke Hupkes*, University of Amsterdam We encourage participants to submit a 1-page (A4 format) abstract for presenting their research projects at the poster session and/or to give a 20 minute contributed talk among our invited speakers. For that, please note the following deadlines: - Abstract submission: September 1st - Acceptance notification: September 10th - Bachelor and Master students: 50 Euro - Other participants: 125 Euro Also, please note the following deadlines: - Registration: September 1st - Registration fee payment: September 15th - Registration cancellation: September 20th We are looking forward to meeting you at the workshop! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - *Organized by the ComCo-2019 Team:* Britta Grusdt Marc Vidal De Palol Chris Lukanov team at comco2019.com Institute of Cognitive Science, *University of Osnabr?ck* www.comco2019.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: speakers.pdf Type: application/pdf Size: 297515 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: comco2019poster.pdf Type: application/pdf Size: 352391 bytes Desc: not available URL: From smnphinfo at gmail.com Tue Aug 6 07:51:04 2019 From: smnphinfo at gmail.com (=?UTF-8?Q?Soci=C3=A9t=C3=A9_Marocaine_de_Neurophysiologie?=) Date: Tue, 6 Aug 2019 04:51:04 -0700 Subject: Connectionists: =?utf-8?q?Invitation=3A_3=C3=A8me_Congr=C3=A8s_Ma?= =?utf-8?q?rocain_de_Neurophysiologie_=26_4=C3=A8me_Session_des_Eco?= =?utf-8?q?les_EEG_=26_EMG=2C_2019?= In-Reply-To: References: Message-ID: www.smnph.org/smnph2019 Chers Coll?gues et Confr?res, *La Soci?t? Marocaine de Neurophysiologie ? SMNPH *? en Collaboration avec *La Ligue Marocaine Contre l?Epilepsie ? LMCE ?* et *Le Centre M?dical de Recherche de la Facult? de M?decine et de Pharmacie de Marrakech* organise ?* Le 3?me Congr?s Marocain de Neurophysiologie*? qui co?ncide avec ? *La 4?me Session des Ecoles EEG & EMG* ?, au *Centre des Conf?rences de l?H?tel Palm Plaza, Marrakech, du 29 novembre au 1er D?cembre 2019*. Ces journ?es comporteront des ateliers pratiques et des conf?rences qui seront anim?s par des experts marocains et ?trangers de renomm?e dans le domaine des explorations neurophysiologiques ? EMG, EEG ? et les techniques d?injection de la Toxine Botulique. Il s'agit en particulier du: *- Dr. Philippe G?lisse, PH,* Service de neurologie, Unit? d?Epileptologie, CHU Montpellier, France -* Pr. Pierre Jallon PU, PH* , Professeur consultant d??pileptologie clinique ? l?h?pital Nhi Dong 2, ? l?h?pital Universitaire de Ho Chi Minh Ville et ? l?h?pital 115, Vietname *- Dr Marie Dominique Lamblin, PH*, Explorations fonctionnelles du SNC de l'enfant, Centre Hospitalier R?gional Universitaire de Lille, France. *- Dr Christine Soufflet, PH*, Service de Neurophysiologie, H?pital Necker Enfants Malades, Paris, France *- Pr. Jean-Philippe Camdessanch?,*Neurologue, Neurophysiologiste, Praticien hospitalier et Professeur des universit?s au CHU de Saint-?tienne, France *- Pr. Yann P?r?on PU, PH *, Chef de Service - Laboratoire d'Explorations Fonctionnelles, Centre de R?f?rence Maladies Neuromusculaires Rares Atlantique-Occitanie-Cara?bes, H?tel-Dieu, Nantes, France. *- Pr. Shahram Attarian PU, PH*, Professeur des Universit?s et Praticien hospitalier,Service de Neurologie, Directeur du Centre des Maladies neuromusculaires et de la SLA, CHU de Marseille - H?pital de la Timone, Marseilles, France --* Dr Fran?oise BOUHOUR, PH*, Centre R?f?rence Maladies Neuromusculaires, Centre SLA, Hospices Civils de Lyon, Hopital Neurologique Pierre Wertheimer, Service d?ENMG-Pathologies neuromusculaires, LYON-BRON, France Au cours de ce congr?s, les th?mes suivants seront abord?s: *? La neurophysiologie des Urgences et de la R?animation* *? L?EEG et les Epilepsies de l?Enfant* *? Le Dialogue entre le Neurophysiologiste et le Chirurgien autour de l'EMG* *? D?bats autour de la prise en charge multidisciplinaire de la spasticit?.* *? La Toxine botulique dans les dystonies et la spasticit?.* Et ce dans le cadre de: *- D?bats et discussions des cas cliniques interactifs. - S?ances coh?sives et int?gratives. - Ateliers pratiques & Usage d??quipements* Veuillez trouver ci-joint le flyer de diffusion ainsi que le programme pr?liminaire. *Une session de communications affich?es sera organis?e parall?lement aux activit?s du congr?s. La soumission des r?sum?s se fera via le site du congr?s.* Les coll?gues d?sirant pr?senter des cas cliniques sont pri?s de prendre contact avec le pr?sident du Comit? Scientifique Pr. Zouhayr SOUIRTI ? l'adresse: *zouhayrsouirti at gmail.com *. Pour participer ? cet ?v?nement avec ses ateliers pratiques et vous garantir une place ? places limit?es sur pour l?Atals de L?EEG et Sommeil qui sera offert gracieusement?, une pr?-inscription doit ?tre effectu?e en ligne en cliquant sur le lien : https://docs.google.com/forms/d/e/1FAIpQLScApLjPj9aZoyv10RWB2u5hIGxuoFl0j3Jb4hBNj9vD-iUC_A/viewform . Un devis vous sera adress? ? la r?ception de votre formulaire de pr?-inscription. Les tarifs appliqu?s et les modalit?s de paiement sont mentionn?s sur le site http://www.smnph.org/smnph2019/modalite/ et pour l?h?bergement ? travers le lien : http://www.smnph.org/smnph2019/inscription/ Pour plus de d?tails, veuillez cliquer sur le lien :* http://www.smnph.org/smnph2019 * Pour toute information compl?mentaire, veuillez envoyer un email ? : *smnphinfo at gmail.com * *- Veuillez trouver ci joint la version actualis?e du Programme scientifique.* *Rendez-vous du 29 Novembre au 1er D?cembre 2019 ? 3?me Congr?s Marocain de Neurophysiologie? & ?4?me Session des Ecoles EEG & EMG ? Centre des Conf?rences de l?H?tel Palm Plaza, Marrakech * *Pr. Mohamad CHRAA, MD, Msc* *Professeur agr?g? en neurophysiologie Secr?taire g?n?ral de la soci?t? marocaine de neurophysiologie Service de neurologie, CHU Mohammed VI, Marrakech, Laboratoire de physiologie, Facult? de m?decine et de pharmacie de Marrakech* ? 2018 Moroccan Society of Neurophysiology -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 3.jpg Type: image/jpeg Size: 219385 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1.jpg Type: image/jpeg Size: 320740 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 4.jpg Type: image/jpeg Size: 312523 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 6.JPG Type: image/jpeg Size: 62072 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2.jpg Type: image/jpeg Size: 379232 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 5.jpg Type: image/jpeg Size: 476883 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 7.jpg Type: image/jpeg Size: 424863 bytes Desc: not available URL: From m.lengyel at eng.cam.ac.uk Tue Aug 6 07:43:02 2019 From: m.lengyel at eng.cam.ac.uk (=?utf-8?B?TcOhdMOpIExlbmd5ZWw=?=) Date: Tue, 6 Aug 2019 13:43:02 +0200 Subject: Connectionists: Registration open for #ABC2019 & #MARR2019 | CAMBRIDGE | 11-13 SEPT 2019 Message-ID: <299CC55E-B286-44BB-8166-FD14301EE3E1@eng.cam.ac.uk> #ABC2019 & #MARR2019 | CAMBRIDGE | 11-13 SEPT 2019 Cambridge Neuroscience invites you to #ABC2019 & #MARR2019 Updated programmes now online! THE 7TH CAMBRIDGE NEUROSCIENCE SYMPOSIUM ?ARTIFICIAL AND BIOLOGICAL COGNITION? IS AN INTERNATIONAL MEETING, WHICH WILL TAKE PLACE ON SEPTEMBER 12-13TH 2019 AT THE WEST ROAD CONCERT HALL AT THE UNIVERSITY OF CAMBRIDGE. Abstract submission extended until August 16th 2019! #ABC2019 comprises seven sessions including ?Reinforcement Learning?, ?Navigation?, ?Robotics?, ?Communication?, ?Vision? ?Mental Health? and ?Neuroethics of AI?. The programme features many distinguished national and international speakers. This is generally a very popular meeting, which attracts an international audience of up to 500 delegates. The Alan Hodgkin and Andrew Huxley plenary lectures are a major feature within the programme. We are delighted to welcome Demis Hassabis and Catherine Dulac to Cambridge. In addition to all of the refreshment breaks there are additional fun opportunities to network at a drinks reception, followed by a Gala dinner, at Trinity College in the evening on September 12th 2019; and a drinks reception following the close of the symposium on September 13th. #Marr2019 : In addition, we are hosting a special satellite meeting to celebrate David Marr, one of the founding fathers of computational neuroscience, on the 50th anniversary of his thesis. Come join us at St John?s College on Wednesday 11th September 2019 for ?David Marr, 50 years on?. We will be raising a glass to David Marr on the stunning rooftop terrace of Newnham College following the meeting. Contact: coordinator at neuroscience.cam.ac.uk Follow us on Twitter: https://twitter.com/CamNeuro Cambridge Neuroscience: https://www.neuroscience.cam.ac.uk/ -- Dr Dervila Glynn Cambridge Neuroscience IRC Coordinator Room 402, Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1PD, United Kingdom Email: coordinator at neuroscience.cam.ac.uk Phone: 00 44 (0)1223 334063 Web: http://www.neuroscience.cam.ac.uk/ Join the conversation on @CamNeuro -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Aug 6 08:17:19 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 6 Aug 2019 12:17:19 +0000 Subject: Connectionists: Postdoctoral Fellowship Position at GW Institute for Data Democracy and Politics In-Reply-To: References: , , , , , , , , , , Message-ID: Some of us may be interested in the following opportunity .... From: David Broniatowski > Subject: Postdoctoral Fellowship Position at GW Institute for Data Democracy and Politics Date: August 5, 2019 at 11:49:12 AM EDT To: "STATLER-SBP-BRIMS at listserv.wvu.edu" > The George Washington University Institute for Data, Democracy and Politics (IDDP) anticipates a search for exceptional candidates for full-time, academic research positions at the rank of post-doctoral fellow. IDDP is a multidisciplinary research initiative intended to strengthen democratic dialog and institutions through research and engagement with policymakers, journalists, and the public. Beginning as early as fall 2019, the positions offer an initial two-year term with the possibility for a third-year renewal. Candidates will work on topics related to detecting, tracking, and correcting disinformation/misinformation. IDDP offers an exceptional opportunity to work closely with world-class faculty across the university, including political scientists, engineers, computer scientists, and physicists interested in complex systems. Located in Washington, DC, the position also offers opportunities for engagement with scholars and policymakers in the area. In addition to the pursuit of individual interests, post-doctoral fellows will work collaboratively with affiliated faculty groups pursuing more narrowly specified projects. Fellows may pursue projects that utilize IDDP?s access to large-volume multiplatform data and/or projects that take experimental approaches to understanding the social and psychological dynamics of mis/disinformation. Fellows may also assist in IDDP?s collaboration with the Poynter Institute?s PolitiFact initiative. Our priority is to attract technically capable researchers who are also interested in asking bold, new questions with data. Candidates must offer evidence of exceptional promise through data-driven publications and conference paper presentations. Minimal Qualifications ? PhD in one of the following or related fields: political science, computer science, natural language processing, complex systems, judgment and decision-making, political psychology, social psychology, social network analysis, computational social science. ? Completion of upper level (undergraduate) and/or graduate level coursework involving computer programming. Fluency in one or more of the following is important: R, Python or similar programs. ? A successful candidate will have familiarity with both social science and computational science, though not necessarily mastery of both. ? Strong communication skills ? An ability to work in a highly collaborative and interdisciplinary environment We will also consider candidates who have accepted tenure-track positions at another institution but with the ability to defer their start date. Applications must include: ? A cover letter describing your interest in and qualifications for this position ? Curriculum vitae ? Two published papers, or equivalent writing samples that demonstrate expertise and fit for the position ? A brief research statement that outlines your research achievements and goals. ? The names and contact information of three references willing to write a letter on your behalf ? A link to a professional webpage and Google scholar page (if applicable). Applications will be accepted until filled. Review of applications will begin immediately. Interested candidates should contact David A. Broniatowski atbroniatowski at gwu.edu -- David A. Broniatowski, Ph.D., FPsyS Associate Professor Department of Engineering Management and Systems Engineering The George Washington University broniatowski at gwu.edu (office) 202.994.3751 http://www.seas.gwu.edu/~broniatowski/index.html http://www.socialmediaforpublichealth.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Tue Aug 6 10:10:17 2019 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 6 Aug 2019 16:10:17 +0200 Subject: Connectionists: CNA 2019 - Eighth International Conference on Complex Networks & Their Applications Message-ID: *Apologies for any cross posting* Eighth International Conference on Complex Networks & Their Applications Lisbon, Portugal Dec. 10- 12, 2019 http://www.complexnetworks.org *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* - Papers will be included in the conference proceedings edited by Springer - Extended abstracts will be published in the Book of Abstracts (with ISBN) - Extended versions will be invited for publication in special issues of international journals: -- Applied Network Science edited by Springer -- Computational Social Networks edited by Springer -- Network Science edited by Cambridge University Press -- Social Network Analysis and Mining edited by Springer -- PLOS ONE *Speakers :* Lada Adamic - Facebook, USA Reka Albert - Pennsylvania State University*, * USA Ulrik Brandes - ETH Zurich, Switzerland Jari Saram?ki - Aalto University, Finland Stefan Thurner - Medical University of Vienna, Austria Michalis Vazirgiannis - Ecole Polytechnique, France *Tutorials: *December 09, 2019 Diego Saez-Trumper - Wikimedia Foundation Maria Angeles Serrano - University of Barcelona, Spain *Topics *include, but are not limited to: - Models of Complex Networks - Structural Network Properties and Analysis - Complex Networks and Epidemics - Community Structure in Networks - Community Discovery in Complex Networks - Motif Discovery in Complex Networks - Network Mining - Network Embedding Methods - Machine Learning with Graphs - Dynamics and Evolution Patterns of Complex Networks - Link Prediction - Multilayer Networks - Network Controllability - Synchronization in Networks - Visual Representation of Complex Networks - Large-scale Graph Analytics - Social Reputation, Influence, and Trust - Information Spreading in Social Media - Rumour and Viral Marketing in Social Networks - Recommendation Systems and Complex Networks - Financial and Economic Networks - Complex Networks and Mobility - Biological and Technological Networks - Mobile Call Networks - Bioinformatics and Earth Sciences Applications - Resilience and Robustness of Complex Networks - Complex Networks for Physical Infrastructures - Complex Networks, Smart Cities and Smart Grids - Political Networks - Supply Chain Networks - Complex Networks and Information Systems - Complex Networks and CPS/IoT - Graph Signal Processing - Cognitive Network Science - Network Medicine - Network Neuroscience - Quantifying Success through Network Analysis - Temporal and Spatial Networks - Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao (University of Chicago, USA) *PROGRAM CHAIRS* Sabrina Gaito (Universit? degli Studi di Milano, Italy) Esteban Moro (Universidad Carlos III de Madrid, Spain) *PROGRAM CO-CHAIRS* Joana Gon?alves-S? (Universidade Nova de Lisboa, Portugal) Francisco Santos (University of Lisbon, Portugal) *SATELLITE CHAIRS* Luca Maria Aiello (Nokia-Bell Labs, UK) Rosa M. Benito (Universidad Politecnica de Madrid) *LIGHTNING CHAIRS* Nuno Araujo (Lisbon University, Portugal) Huijuan Wang (TU Delft, Netherlands) Taha Yasseri (University of Oxford, UK) *POSTER CHAIRS* Maria Clara Gracio (University of Evora) Gitajanli Yadav (University of Cambridge, UK) Jinhu L? (Chines Ac. Science, Bejing, China) *TUTORIAL CHAIR* Bruno Goncalves (Morgan Stanley, USA) *PUBLICITY CHAIRS* Carlos Gershenson (Universidad Nacional Aut?noma de M?xico, Mexico) Leto Peel (Universit? Catholique de Louvain, Belgium) Michael Schaub (MIT, USA) Feng Xia (Dalian University of Technology, China) *SOCIAL MEDIA CHAIR* Andreia Sofia Teixeira (Universidade de Lisboa, Portugal) *PUBLICATION CHAIR* Chantal Cherifi (University of Lyon, France) *WEB CHAIR* Matteo Zignani (Universit? degli Studi di Milano, Italy) *SUBMISSION CHAIR* Christian Quadri (Universit? degli Studi di Milano, Italy) *LOCAL COMMITTEE CHAIR**S* Manuel Marques-Pita (University Lus?fona, Portugal) -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Mon Aug 5 13:18:17 2019 From: timofte.radu at gmail.com (Radu Timofte) Date: Mon, 5 Aug 2019 19:18:17 +0200 Subject: Connectionists: [Call for Papers & Participants] ICCV 2019 Advances in Image Manipulation workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 9 CHALLENGES AIM: 1st Advances in Image Manipulation workshop and challenges on bokeh effect simulation, RAW to RGB mapping, demoireing, real world super-resolution, constrained SR, extreme SR, quality mapping, video temporal SR In conjunction with ICCV 2019, November 2, Seoul, Korea. Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS - Image-to-image translation - Video-to-video translation - Image/video manipulation - Perceptual manipulation - Image/video generation and hallucination - Image/video quality assessment - Image/video semantic segmentation - Perceptual enhancement - Multimodal translation - Depth estimation - Image/video inpainting - Image/video deblurring - Image/video denoising - Image/video upsampling and super-resolution - Image/video filtering - Image/video de-hazing, de-raining, de-snowing, etc. - Demosaicing - Image/video compression - Removal of artifacts, shadows, glare and reflections, etc. - Image/video enhancement: brightening, color adjustment, sharpening, etc. - Style transfer - Hyperspectral imaging - Underwater imaging - Aerial and satellite imaging - Methods robust to changing weather conditions / adverse outdoor conditions - Image/video manipulation on mobile devices - Image/video restoration and enhancement on mobile devices - Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in ICCV style. http://iccv2019.thecvf.com/submission/main_conference/author_guidelines The review process is double blind. Accepted and presented papers will be published after the conference in the ICCV 2019 Workshops Proceedings. Author Kit: http://iccv2019.thecvf.com/files/iccv2019AuthorKit.zip Submission site: https://cmt3.research.microsoft.com/AIMW2019 WORKSHOP DATES ? *Regular Papers Submission Deadline: August 11, 2019* (*extended!*) ? Challenge Papers Submission Deadline: September 20, 2019 IMAGE CHALLENGES (*ongoing!*) 1. *Bokeh effect, *Tracks: (1) Fidelity, (2) Perceptual 2. *RAW-to-RGB Mapping*, Tracks: (1) Fidelity, (2) Perceptual 3. *Real World Super-Resolution*, Tracks: (1) Same Domain, (2) Target Domain 4. *Demoireing*, Tracks: (1) Fidelity, (2) Perceptual 5. *Constrained Super-Resolution*, Tracks: (1) Parameters, (2) Inference, (3) Fidelity 6. *Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual VIDEO CHALLENGES (*ongoing!*) 1. *Video Temporal Super-Resolution* 2. *Video Quality Mapping*, Tracks: (1) Supervised, (2) Unsupervised 3. *Video Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the AIM webpage: http://www.vision.ee.ethz.ch/aim19/ CHALLENGES DATES ? Release of train data: July 15, 2019 ? *Competitions end: September 9, 2019 *(*extended!*) ORGANIZERS ? Radu Timofte, ETH Zurich, Switzerland ? Shuhang Gu, ETH Zurich, Switzerland ? Ming-Hsuan Yang, University of California at Merced, US / Google AI ? Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland ? Kyoung Mu Lee, Seoul National University, Korea ? Eli Shechtman, Adobe Research ? Ming-Yu Liu, NVIDIA Research ? Zhiwu Huang, ETH Zurich, Switzerland ? Seungjun Nah, Seoul National University, Korea ? Richard Zhang, Adobe Research ? Andrey Ignatov, ETH Zurich, Switzerland ? Martin Danelljan, ETH Zurich, Switzerland SPONSORS (to be updated) ETH Zurich Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.gleeson at ucl.ac.uk Wed Aug 7 11:27:01 2019 From: p.gleeson at ucl.ac.uk (Gleeson, Padraig) Date: Wed, 7 Aug 2019 15:27:01 +0000 Subject: Connectionists: Open Source Brain workshop 2019: Call for presentations/demos of open datasets and tools Message-ID: <9ebab58c-ea66-fb4a-ea7c-939c305c6e20@ucl.ac.uk> [Apologies if you receive multiple copies of this due to cross-posting] The 2019 Open Source Brain workshop will be held in Alghero, Sardinia on 9-11th September 2019. There are a number of presentation slots still available for attendees to present open experimental data sets/databases/tools/simulators/libraries relevant to the goals of the meeting. Full details: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 Open Source Brain (http://www.opensourcebrain.org) is a platform for sharing and collaboratively developing models in computational neuroscience. Models of cells and circuits in standardised formats can be visualised, analysed and simulated through a standard web browser. A key driver for the development of this technology is to improve accessibility, scientific scrutiny, reproducibility and reuse of models of brain function. The platform is described in a recent paper in Neuron: https://www.cell.com/neuron/fulltext/S0896-6273(19)30444-1 The 2019 OSB Workshop will highlight the latest features of OSB and engage current and future users of the platform through invited talks, posters, hands on demonstrations, and user presentations. Since we are substantially expanding the functionality of Open Source Brain to enable sharing of standardized experimental data used to build and test the models of neurons and circuits, this year?s meeting will have two key themes: 1) Accessible sharing of cellular neuroscience data Through support for the Neurodata Without Borders (NWB) format, OSB will facilitate sharing of multiple types of experimental data used to constrain computational models, including electrophysiological recordings, Ca2+ fluorescence imaging, 2D, 3D and 4D imaging and behavioural data. Challenges, requirements and solutions to data standardization will be discussed. 2) Modelling cortical structures across scales Cortical networks are modelled at many scales from abstract representations of interacting populations (neural masses) to networks of biophysically and morphologically detailed cell models. NeuroML is being expanded to cover a greater range of these models, which will allow them to be shared and simulated on OSB, facilitating comparison of models and ideas between researchers. This ongoing work is taking place as part of the SIG on Standardised Representations of Network Structures. Registration The registration fee for the meeting for 3 days will be ?130. This will help cover organisation and speaker costs, meeting room hire, lunch, tea and coffee for 3 days and one workshop dinner. Please register here. Registration closes on 1st September 2019. Confirmed speakers Yazan Billeh (Allen Institute, USA) Matteo Cantarelli (MetaCell Ltd) Alex Cayco Gajic (UCL, UK & ?cole Normale Sup?rieure, France) Sharon Crook (Arizona State University, USA) Jeffrey S. Diamond (NINDS, USA) Ian Duguid (University of Edinburgh, UK) Matt Earnshaw (University College London, UK) Jan Fousek (Aix Marseille Universit?, France) Padraig Gleeson (University College London, UK) Boris Marin (Universidade Federal do ABC, Brazil) Diego Restrepo (University of Colorado, USA) Oliver Reubel (Lawrence Berkeley National Lab, USA) Simon Schultz (Imperial College, UK) Angus Silver (University College London, UK) Sacha van Albada (J?lich Research Centre, Germany) For more details please see: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 The OSB 2019 organising committee Padraig Gleeson Matt Earnshaw Angus Silver -------------- next part -------------- An HTML attachment was scrubbed... URL: From smednick at ucr.edu Wed Aug 7 09:45:54 2019 From: smednick at ucr.edu (Sara C. Mednick) Date: Wed, 7 Aug 2019 09:45:54 -0400 Subject: Connectionists: Postdoc position in Sleep and Cognition Lab Message-ID: The Sleep and Cognition (SaC) Lab of the Cognitive Sciences Department at the University of California, Irvine is soliciting applications from engineers for a postdoctoral research position in cognitive neuroscience. The researcher will work with incoming sleep data from a study using light therapy in older adults with mild cognitive impairment, as well as developing new analysis techniques on existing data sets related to sleep and memory consolidation. Successful candidates should have experience in applying signal processing and non-linear analysis techniques to EEG/ECG recordings, as well as programming skills. Experience in sleep methodology is desirable, but not essential. Researchers must possess a doctoral degree. The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Please send your CV, statement of research interests and the names of three references or make inquires to Sara C. Mednick mednicks at uci.edu. -- Associate Professor University of California, Riverside Department of Psychology www.saramednick.com Free Online Sleep Course TEDx Talk Amandla awethu! -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Fri Aug 9 06:07:03 2019 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Fri, 9 Aug 2019 15:37:03 +0530 Subject: Connectionists: =?utf-8?q?Fifth_International_Symposium_on_Intell?= =?utf-8?q?igent_Systems_Technologies_and_Applications_=28ISTA?= =?utf-8?b?4oCZMTkp?= Message-ID: Apologies for cross-postings!Please forward to anyone who might be interested -------------------------------------------------------------------------------------------------- Fifth International Symposium on Intelligent Systems Technologies and Applications (ISTA?19) December 18-21, 2019, Trivandrum, Kerala, India http://www.acn-conference.org/ista2019/ Submission Deadline: August 20, 2019 Submission Link: https://edas.info/N26246 -------------------------------------------------------------------------------------------------- ISTA?19 aims to bring together researchers in related fields to explore and discuss various aspects of intelligent systems technologies and their applications. The Symposium will provide excellent opportunities for the presentation of interesting new research results and discussion about them, leading to knowledge transfer and the generation of new ideas. Prospective authors are invited to submit original unpublished work that is not currently under consideration for publication elsewhere via the various tracks hosted by ISTA?19: Track I: Intelligent Tools and Techniques Track II: Applications using Intelligent Techniques Track III: Intelligent Image Processing and Artificial Vision Track IV: Intelligent Techniques for Ad-hoc and Wireless Sensor Networks Track V: Business Intelligence and Big Data Analytics Track VI: Intelligent Distributed Computing Authors should submit their papers online through the EDAS conference management system. All submitted papers will be judged based on their originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability through double-blind reviewing, where the identities of the authors are withheld from the reviewers. The following publication options are available: -- Special Issue in the Journal of Intelligent and Fuzzy Systems, IOS Press, Netherlands (SCI Impact Factor 2018: 1.426). -- Publication in the prestigious Advances in Intelligent Systems and Computing Series (Springer, Germany) and SpringerLink Important Dates ---------------- Papers Due: August 20, 2019 Acceptance Notification: September 20, 2019 Final Paper Deadline: October 18, 2019 Contact Us: ista.symposium at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Fri Aug 9 05:44:43 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Fri, 9 Aug 2019 09:44:43 +0000 Subject: Connectionists: ACM-W Scholarships for Attendance at Research Conferences Message-ID: <97984_1565343895_x799iqs6099464_DCF22CD1-11F1-4695-9356-0E2508012C9E@tudelft.nl> * Apologies if you receive multiple copies of this message * ACM-W provides support for women undergraduate and graduate students in Computer Science and related programs to attend research conferences, such as ACM IUI 2020. Please find all details concerning the application, the eligibility for application and the deadlines for application at the following link: https://women.acm.org/scholarships/. Please consider this opportunity if you are planning to attend ACM IUI 2020, or other ACM conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Fri Aug 9 11:20:27 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Fri, 9 Aug 2019 15:20:27 +0000 Subject: Connectionists: Postdoc in neural data analysis Message-ID: A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question using newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries? group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries at nottingham.ac.uk Deadline: 5th September Full details, and to apply: https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2 [http://jobs.nottingham.ac.uk/org/images/socialmedia.png] Job Vacancy at the University of Nottingham: Research Associate/Fellow (Fixed term) Applications are invited for a postdoctoral research fellow to join the Humphries? group on the MRC-funded project ?Uncovering the neural basis of movement transitions?. The Humphries? group researches fundamental... jobs.nottingham.ac.uk Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Fri Aug 9 15:05:25 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Fri, 9 Aug 2019 19:05:25 +0000 Subject: Connectionists: ACM IUI 2020 - Second Call for Workshop and Tutorial Proposals Message-ID: <40350_1565377537_x79J5YoQ041525_9C5C7723-0FF7-404A-96C3-35D3D17C4C77@tudelft.nl> * Apologies if you receive multiple copies (or bad formatting) of this message* ACM IUI 2020 - CALL FOR WORKSHOP AND TUTORIAL PROPOSALS In conjunction with the 25th International Conference on Intelligent User Interfaces (IUI 2020) Cagliari, Italy March 17, 2020 https://iui.acm.org/2020/ WORKSHOP CO-CHAIRS Casey Dugan, IBM Research Carmen Santoro, CNR-ISTI, HIIS Laboratory Simone Stumpf, City, University of London workshops2020 at iui.acm.org CALL FOR PROPOSALS We are pleased to invite proposals for workshops and tutorials to be held in conjunction with the conference. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Tutorials are designed to provide fundamental knowledge and experience on topics related to intelligent user interfaces, and the intersection between Human-Computer Interaction (HCI) and Artificial Intelligence (AI). Note: We encourage you to contact the chairs with your ideas (workshops2020 at iui.acm.org), and work together to prepare an exciting proposal. We encourage proposals for a wide range of workshops and tutorials, including but not limited to: - "Mini-conferences" on specialized topics; such workshops may have their own paper submission and review processes. - "Late breaking work" meetings; such workshops usually have a lighter review process (e.g. based on abstracts only). - "Hands-on" workshops around a specific problem or topic that may wish to ask participants to submit a position statement. - "Project centric" workshops that may be closely related to the scope of an existing large scale (e.g. NSF, EU, etc. funded) project. - "Mini-competitions", challenges, or hackathons around selected topics with individual or team participation. - Tutorials on a specific topic relevant to IUI; for example, methods and approaches in HCI and/or AI, specific techniques or algorithms to develop intelligent user interfaces, etc. Workshops and tutorials will be held on the first day of the conference. We invite submissions of proposals for full-day (6 hours) and half-day (3 hours) workshop or tutorial. Proposals will be reviewed and evaluated by the workshop and tutorials chairs. Workshops with few submissions by Friday, 20 December 2019 may be cancelled, shortened, merged with other workshops, or otherwise restructured. The organizers of accepted workshops and tutorials are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the IUI conference community. Workshop and tutorial organizers will maintain their own website with information about the workshop or tutorial and the IUI 2020 web site will refer to the this website. The workshop organizers will coordinate the paper solicitation, collection, and review process. A workshop and tutorials summary will be included in the ACM Digital Library for IUI 2020, however, there will be no archived published proceedings of workshop papers this year. We strongly encourage workshop organizers to arrange a volume of online proceedings for their workshop papers themselves, for example, by using www.ceur-ws.org. PROPOSAL FORMAT Workshop or tutorial proposals should be maximum 2 pages long and follow the formatting instructions at https://www.acm.org/publications/proceedings-template. Please either use the Word interim template with Libertine fonts downloaded and embedded, or the LaTex sigconf template. The proposals should be organized as follows: - Name and title: A one-word acronym and a full title. Please indicate ?(Workshop)? or ?(Tutorial)? after the title, as appropriate. - Description of workshop or tutorial topic: This description should discuss the relevance of the suggested topic to IUI and its interest for the IUI2020 audience. Include a brief discussion of why and for which audience the workshop or tutorial is of particular interest. - Previous history: List of previous workshops or tutorials that were held on the topic including the conferences that hosted past workshops or tutorials and the number of participants. - Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organiser(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. Also please provide a list of other workshops or tutorials organized by workshop organizers in the past. - Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. - Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop or tutorial. If possible, include the names of at least 10 people who have expressed interest to participate in the workshop or tutorial. - Workshop or Tutorial format: A brief description of the format regarding the mix of events or activities, such as paper presentations, invited talks, panels, demonstrations, teaching activities, hands-on practical exercises, general discussion. Please also list here any material you will make available to tutorial participants, e.g. slides, access to hardware/software, handouts, etc. - Planned outcomes of the workshop or tutorials: What are you hoping to achieve by the end of the workshop or tutorials. Please list here any planned publications or other outputs arising workshops, including your plans for making workshop papers available. - Length: Full-day or half-day. Please submit your proposal via https://new.precisionconference.com/ selecting the IUI 2020 Workshops and Tutorials track. IMPORTANT DATES Discuss your topic with the workshop and tutorials chairs: ASAP (workshops2020 at iui.acm.org) Proposals due: Monday, 9 September 2019 Decisions Sent: Monday, 14 October 2019 ** TENTATIVE dates of the review cycle ** Workshop Submissions:Tuesday, 17 December 2019 Go/No-go Decision on Workshops: Friday, 20 December 2019 Notifications to authors: Tuesday, 14 January 2020 Camera-ready for Workshop/Tutorial summary: Friday, 17 January 2020 Workshops/Tutorials held: Tuesday, 17 March 2020 From almayalanis at gmail.com Fri Aug 9 21:01:46 2019 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Fri, 9 Aug 2019 20:01:46 -0500 Subject: Connectionists: CALL FOR BOOK PROPOSALS Message-ID: *NEW BOOK SERIES ANOUNCEMENT: CALL FOR BOOK PROPOSALS * *Hybrid Intelligent Systems and Applications * We welcome book proposals on a wide variety of subjects including, but not limited to the following: Hybrid Neural Systems, Neuro-Fuzzy Systems, Neuro-Genetic Systems, Neuro-Fuzzy-Genetic Systems, Fuzzy-Genetic Systems, Fuzzy-Swarm Systems, Neuro-Swarm Systems, Immunized-Swarm Systems, Immunized-Neuro Systems, Evolutionary-Swarm Systems, Evolutionary Deep-learning systems. Hybrid Intelligent systems for application on Pattern Recognition, Time Series Prediction, Modeling, Control, Medicine, Robotics, Autonomous Navigation, Complexity, Chaos among others. All proposals will be evaluated strictly according to their individual merits and compatibility with the aims of the series. Titles accepted for publication in the series will be supported by an engaged and careful peer review process, including impartial assessments by members of an international editorial advisory board consisting of leading scholars in the field. All books published in the series will be publicized widely and distributed internationally by CRC Press. Books in the Series will be directed to a broad range of students, practitioners, and academics and consist of textbooks, reference works, and handbooks in all areas of Electrical Engineering. We are currently seeking book proposals that fit the description above. Please send proposals to one or more of the Book Series Editors: Alma Y. Alanis (almayalanis at gmail.com) Nancy Arana-Daniel ( nancyaranad at gmail.com)UNIVERSITY OF GUADALAJARA, MEXICO. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: NEW BOOK SERIES ANOUNCEMENT vf.pdf Type: application/pdf Size: 151870 bytes Desc: not available URL: From a.checco at sheffield.ac.uk Sun Aug 11 20:03:42 2019 From: a.checco at sheffield.ac.uk (Alessandro Checco) Date: Mon, 12 Aug 2019 01:03:42 +0100 Subject: Connectionists: CFA | BHCC 2019 - 1st Symposium on Biases in Human Computation and Crowdsourcing, Sheffield, UK, 21-22 October 2019 Message-ID: Overview ======== Human Computation and Crowdsourcing have become ubiquitous in the world of algorithm augmentation and data management. However, humans have various cognitive biases that influence the way they make decisions, remember information, and interact with machines. It is thus important to identify human biases and analyse their effect on complex hybrid systems. On the other hand, the potential interaction with a large pool of human contributors gives the opportunity to detect and handle biases in existing data and systems. The goal of this symposium is to analyse both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures and methods to track bias, as well as methodologies to prevent and solve bias. An interdisciplinary approach is often required to capture the broad effects that these processes have on systems and people, and at the same time to improve model interpretability and systems? fairness. 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. For more information, please visit the event website: https://sites.google.com/sheffield.ac.uk/bhcc2019. Submission Guidelines ================= We welcome ~250-word abstracts describing methodologies, studies or systems relevant to the topics of the workshop. Submissions are not anonymous. Non published work, vision statements, and work in progress are welcome. We are looking for contributions with interesting insights, which could lead to a productive discussion during the symposium. The main criteria of evaluation of the Programme Committee are scientific relevance, innovation level and research potential. Abstract should be submitted at https://easychair.org/conferences/?conf=bhcc2019. List of Topics =========== 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 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 - Generating benchmarks for bias management Committees ========== Program Committee - Alessandro Bozzon, University of Delft (Netherlands) - Alessandro Checco, University of Sheffield (UK) - Amrapali Zaveri, Institute of Data Science, Maastricht University (Netherlands) - Eddy Maddalena, University of Southampton (UK) - Jahna Otterbacher, Open University of Cyprus (Cyprus) - Jo Bates, University of Sheffield (UK) - Mengdie Zhuang, University of London (UK) - Ujwal Gadiraju, L3S Research Center, Hannover (Germany) Organizing committee - Alessandro Checco, University of Sheffield (UK) - Eddy Maddalena, University of Southampton (UK) Venue and Registration ================== Please visit the event website: https://sites.google.com/sheffield.ac.uk/bhcc2019. Keynote ======= Michael Rovatsos is Professor of AI at the University of Edinburgh, and Director of the Bayes Centre, the University?s innovation hub for Data Science and AI. He also represents the University at the Alan Turing Institute, the UK?s national institute for Data Science and AI. His research interests are in Artificial Intelligence with a specific focus on multiagent systems, i.e. systems where either artificial or human agents collaborate or compete with each other. His involvement in large interdisciplinary projects has led to a major shift of his research agenda toward ethical AI over the last five years, where he focuses on developing intelligent decision-making algorithms and platform architectures that support the moral values of their human stakeholders. Contacts ======== - All questions about submissions should be emailed to a.checco at sheffield.ac.uk. - All questions about logistics and registration should be email to Kathryn MacKellar k.mackellar at sheffield.ac.uk. Sponsors ======== - FashionBrain https://fashionbrain-project.eu - Qrowd http://qrowd-project.eu Please contact us if you want to be a sponsor: you will be able to advertise your company/project with a booth during the two-day symposium, distribute flyers and appear on this website. -------------- next part -------------- An HTML attachment was scrubbed... URL: From martaruizcostajussa at gmail.com Mon Aug 12 08:56:06 2019 From: martaruizcostajussa at gmail.com (Marta Ruiz) Date: Mon, 12 Aug 2019 13:56:06 +0100 Subject: Connectionists: 2on CALL for Workshops and Special Sessions for IWSDS 2020 In-Reply-To: References: Message-ID: 2on CALL for Workshops and Special Sessions for IWSDS 2020 Place: Madrid, Spain Dates: May 18-20, 2020 Website: https://www.iwsds.tech INTERNATIONAL WORKSHOP ON SPOKEN DIALOG SYSTEM TECHNOLOGY (IWSDS) 2020 invites proposals for Workshops and Special Sessions in any topic related to the main conference theme: *Conversational Dialogue Systems for the Next Decade.* Authors are requested to submit PDF files (maximum three pages) of their proposal to iwsds2020 at gmail.com The proposal must indicate: 1. Whether the proposal is for a workshop or for a special session: - Workshops are half day events collocated either before or after the IWSDS 2020 main program. Registration to workshops is not included with IWSDS registration. Participants only interested in attending the workshops do not need to register for IWSDS. - Special sessions are 90-minute sessions that are part of the IWSDS main program. Registration to special sessions is included with IWSDS registration. 2. Workshop / Special Session title 3. Name, affiliation, e-mail and phone number of the organizers 4. A description of the workshop / Special Session title including: - objectives - topics of interest - justification - expected number of submissions - tentative program 5. Tentative program committee members (only for workshop proposals) 6. Special audio-visual, internet, computer or equipment requirements 7. Whether the workshop / special session have been run before: - where and when - number of participants 8. Any additional information that might be relevant for the proposal evaluation *Proposal submission deadline: September 13, 2019* *Proposal acceptance notification: September 17, 2019* Important notice: 1. Based on the volume of submissions and other logistic constraints accepted workshops can be converted into special sessions or vice versa 2. IWSDS 2020 organization cannot provide any kind of financial support to workshop and special session organizers. IWSDS 2020 organization will only cover expenses related to venue, audio-visual equipment and coffee breaks for workshops and special sessions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From artificialsimon at gmail.com Mon Aug 12 12:21:01 2019 From: artificialsimon at gmail.com (Simon Smith) Date: Mon, 12 Aug 2019 17:21:01 +0100 Subject: Connectionists: [meetings] Call for Participants (extended deadline) Robust Artificial Intelligence for Neurorobotics (RAI-NR) workshop Message-ID: We invite interested participants to register for the workshop on Robust Artificial Intelligence for Neurorobotics, to be held at the Bayes Centre at The University of Edinburgh, UK, between 26th-28th of August 2019. Registration deadline 16th of August. Aim and scope =========== This meeting aims at bringing together researchers from neural computation, machine learning and robotics, to explore key issues that must be addressed along the path to more flexible and capable robots. These issues include reliability, safety and resource efficiency. We will debate and discuss the question of how emerging neural network and other neuromorphic technologies could address these requirements in realistic applications. Robotics brings stringent constraints on size, weight and power, which challenges the developers of these technologies in new ways. Equally, the fact that learning and adaptation might happen on a real physical platform implies a significantly greater emphasis on ensuring safety and rendering automated decisions verifiable and explainable. Talks will address the following themes, and allied topics: - Robotics and Robot Learning: How are neural network based methods and neuromorphic design principles driving advances in robotics? - Systems for AI: How are new advances in neurally inspired computing and electronic sensing hardware enabling these advances? - Safety, verification and explainability: How are we developing the new techniques required to ensure the safety of learning, perception and control in real world settings? - Neuroscience of perception and action: How do perspectives on how animals/humans solve problems help guide advances in robotics? Invited speakers ============= Prof. Dr. Wolfgang Maass, Institut fuer Grundlagen der Informationsverarbeitung, Technische Universitaet Graz, Austria Prof. Chris Eliasmith, Centre for Theoretical Neuroscience, University of Waterloo, Canada Dr.ir. Johan Kwisthout, Donders Centre for Cognition, Nijmegen, The Netherlands, Dr. Rosalyn J. Moran, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK Prof. Steve Furber, School of Computer Science, The University of Manchester, UK Prof. Giacomo Indiveri, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland Dr. Ashish Kapoor, Microsoft Research, Redmond, USA Prof. Martin Vechev, Department of Computer Science, ETHZ Zurich, Switzerland Dr. Yulia Sandamirskaya, Institute of Neuroinformatics, UZH / ETH Zurich, Switzerland Dr. Janos Rohaly, GelSight, Inc., USA Key Dates and Website ============= https://blogs.ed.ac.uk/rai-nr/ Workshop registration: open until 16th of August 2019 Workshop: 26th-28th of August 2019 Program Committee Chairs ========================= Dr. Joseph Hays ? Naval Research Laboratory, USA Dr. Subramanian Ramamoorthy ? The University of Edinburgh, UK Dr. Christian Tetzlaff - Bernstein Center for Computational Neuroscience, Germany Sponsors ======= This workshop is funded by a grant from the US Office of Naval Research through their Global office in London (ONR-G), and also supported by an Alan Turing Institute Fellowship and Sponsored Project on Safety-critical Artificial Intelligence. Best regards, Sim?n C. Smith Institute of Perception, Action and Behaviour The University of Edinburgh -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Mon Aug 12 11:02:53 2019 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Mon, 12 Aug 2019 15:02:53 +0000 Subject: Connectionists: 5th Workshop on Noisy User-generated Text at EMNLP 2019 - Call for Papers Message-ID: 5th Workshop on Noisy User-generated Text at EMNLP 2019 Call for Papers The WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records and language learner essays. We seek submissions of regular papers on original and unpublished work (same page limit EMNLP main conference; long or short papers). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in the conference proceedings. All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. Important Dates: - Submission Deadline: Monday, August 19 - Acceptance Notification: Monday, September 16 - Camera-Ready: Monday, September 30 - Workshop: November 3 or November 4, EMNLP (Hong Kong) Workshop website: http://noisy-text.github.io/2019/ Submission URL: https://www.softconf.com/emnlp2019/ws-W-NUT2019/ Best paper award sponsor: Google Topics of interest include but are not limited to: - NLP Preprocessing of Noisy Text - Part of speech tagging - Named entity tagging, including a wide range of categories, e.g. product names - Chunking of user-generated text - Parsing - Text Normalization and Error Correction - Normalizing noisy text for downstream tasks and for human readability - Error detection and correction - Robustness to Noise, both Natural and Adversarial - Multilingual NLP in noisy text - Sentiment analysis - Crowdsourcing of text data - User prediction, e.g. geolocation, gender, age, etc - Stylistics, e.g. formality, politeness, etc - Colloquial language, e.g. code-switching, idiom detection - Bilingual translation of the noisy text - Paraphrase identification and semantic similarity of short text or noisy text - Information extraction from noisy text - Domain adaptation to user-generated text - Geolocation prediction - Global and regional trend detection and event extraction - Detecting rumors, contradictory information, sarcasm and humor on social media - Extracting user demographics, profiles, and major life events - Temporal aspects of user-generated content (resolving time expressions, concept drift, diachronic analyses, etc...) All submissions should conform to EMNLP 2019 style guidelines (https://www.emnlp-ijcnlp2019.org/calls/papers). Long and short paper submissions must be anonymized. Abstract submissions should include author information (and where the work was published in a footnote on the front page, if applicable). Please submit your papers at the SoftConf link (https://www.softconf.com/emnlp2019/ws-W-NUT2019/). Workshop Organizers: - Alan Ritter (Ohio State University) - Wei Xu (Ohio State University) - Tim Baldwin (University of Melbourne) - Afshin Rahimi (University of Melbourne) Program Committee: - Anietie Andy (Howard University/University of Pennsylvania) - Isabelle Augenstein (University of Copenhagen) - Francesco Barbieri (UPF Barcelona) - Eduardo Blanco (University of North Texas) - Su Lin Blodgett (UMass Amherst) - Colin Cherry (Google Research) - Jackie Chi Kit Cheung (McGill University) - Paul Cook (University of New Brunswick) - Marina Danilevsky (IBM Research) - Leon Derczynski (IT-University of Copenhagen) - Seza Do?ru?z (Tilburg University) - Heba Elfardy (Amazon) - Dan Garrette (Google Research) - Masato Hagiwara (Duolingo) - Hua He (Amazon) - Jing Jiang (Singapore Management University) - Nobuhiro Kaji (Yahoo! Research) - Emre Kiciman (Microsoft Research) - Wuwei Lan (Ohio State University) - Piroska Lendvai (University of G?ttingen) - Jessy Junyi Li (University of Texas Austin) - Nut Limsopatham (University of Glasgow) - Patrick Littell (Carnegie Mellon University) - Zhiyuan Liu (Tsinghua University) - Wei-Yun Ma (Academia Sinica) - Nitin Madnani (Educational Testing Service) - H?ctor Mart?nez Alonso (INRIA) - Aaron Masino (The Children's Hospital of Philadelphia) - Chandler May (Johns Hopkins University) - Rada Mihalcea (University of Michigan) - Smaranda Muresan (Columbia University) - Preslav Nakov (Qatar Computing Research Institute) - Vincent Ng (University of Texas at Dallas) - Eric Nichols (Honda Research Institute) - Alice Oh (KAIST) - Naoaki Okazaki (Tohoku University) - Umashanthi Pavalanathan (Georgia Tech) - Michael Paul (University of Colorado Boulder) - Ellie Pavlick (Brown University) - Barbara Plank (University of Groningen) - Daniel Preo?iuc-Pietro (Bloomberg) - Roi Reichart (Technion) - Alla Rozovskaya (City University of New York) - Mugizi Rwebangira (Howard University) - Keisuke Sakaguchi (Johns Hopkins University) - Maarten Sap (University of Washington) - Andrew Schwartz (Stony Brook University) - Djam? Seddah (University Paris-Sorbonne) - Satoshi Sekine (New York University) - Hiroyuki Shindo (NAIST) - Thamar Solorio (University of Houston) - Richard Sproat (Google Research) - Ian Stewart (Georgia Tech) - Oren Tsur (Harvard University/Northeastern University) - Svitlana Volkova (Pacific Northwest National Laboratory) - Byron Wallace (Northeastern University) - Xiaojun Wan (Peking University) - Diyi Yang (Carnegie Mellon University) - Yi Yang (Bloomberg) - Guido Zarrella (MITRE) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sara.zannone at gmail.com Tue Aug 13 09:22:35 2019 From: sara.zannone at gmail.com (Sara Zannone) Date: Tue, 13 Aug 2019 14:22:35 +0100 Subject: Connectionists: Call for Papers: NeurIPS2019 Workshop on Biological and Artificial Reinforcement Learning Message-ID: Call for Papers NeurIPS2019 Workshop Biological and Artificial Reinforcement Learning Workshop website: https://sites.google.com/view/biologicalandartificialrl Submission deadline: September 7, 11:59 PM Pacific Time, 2019 Contact: BiologicalArtificialRL at gmail.com We invite you to submit papers (up to 5 pages, excluding references and appendix) in the NeurIPS 2019 format. The focus of the work should relate to biological and/or artificial reinforcement learning. Potential topics include but are not limited to: - Benchmark tasks that can compare/contrast capabilities of artificial vs biological agents - Hierarchical RL/ skill learning - Inductive biases and priors - Representations for RL - Model-based/ Model-free learning - Lifelong learning - Intrinsic motivation/ learning in absence of extrinsic rewards - Role of memory in learning In line with the guidelines defined by the NeurIPS organising committee, we can only accept original work that is not published in the main NeurIPS conference. However, we welcome published work from other non-machine learning focused venues, particularly work that has previously appeared in Neuroscience or Cognitive Science venues such as Cosyne, RLDM, CogSci and CCN. Submission link: https://cmt3.research.microsoft.com/NeurIPSWSBARL2019/ For any enquiries please reach out to us at BiologicalArtificalRL at gmail.com . On behalf of the organizers, Sara Zannone, Raymond Chua, Feryal Behbahani, Rui Ponte Costa, Claudia Clopath, Blake Richards, Doina Precup -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Tue Aug 13 07:25:04 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Tue, 13 Aug 2019 14:25:04 +0300 Subject: Connectionists: RANLP 2019: Call for Participation Message-ID: Call for Participation Recent Advances in Natural Language Processing (RANLP?2019) and Associated Events With record number of submissions and the main theme of the conference being ?Natural Language Processing in a Deep Learning World?, this year?s Recent Advances in Natural Language Processing Conference (RANLP?2019) is stronger and more attractive than ever. The conference programme has just been published. And ?stronger and more attractive than ever? applies not only to the main conference but to all associated events. Explore the outstanding programme of the first RANLP Summer School on Deep Learning for Natural Language Processing and that of the pre-conference Tutorials . Do not overlook the post-conference workshops: Human-informed Technology for Translation and Interpreting (HIT-IT?2019); the 12th edition of Building and Using Comparable Corpora (BUCC); Multiling?2019: Summarisation across Languages, Genres and Sources ; Grammar Data Mining (GDM): Extracting Linguistic Features from Grammatical Descriptions and Language Technology for Digital Historical Archives with Special Focus on Central-, (South)Eastern Europe, Middle East and North Africa . Do not forget the RANLP Student Workshop . Last but not least, it is worth mentioning the conference ?Biographical Data in a Digital World 2019 ? as one of the major post-conference events. Visit the RANLP?2019 website for more information. We look forward to welcoming you in Varna! -------------- next part -------------- An HTML attachment was scrubbed... URL: From arturodeza at gmail.com Tue Aug 13 17:20:36 2019 From: arturodeza at gmail.com (Arturo Deza) Date: Tue, 13 Aug 2019 17:20:36 -0400 Subject: Connectionists: [Call for Papers] Shared Visual Representations in Human and Machine Intelligence (SVRHM) NeurIPS 2019 workshop Message-ID: The goal of the Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop at NeurIPS 2019 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/neuro science communities to become the leading computational models that describe many cognitive tasks. Huge strides are also being made on 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. The following areas provide a sense of suitable topics for 2-4 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 - 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 We will be awarding an *NVIDIA Titan RTX* and an *Oculus Quest* as best paper and poster prize respectively at the conference. Link to the workshop with additional details for the Call for Papers: https://www.svrhm2019.com/ Link to Paper workshop submission: https://cmt3.research.microsoft.com/SVRHM2019 Questions regarding the workshop should be sent to: info at svrhm2019.com Sincerely, The Organizers Arturo Deza, Joshua Peterson, Apruva Ratan Murty, Tom Griffiths The SVRHM workshop is currently sponsored by NVIDIA, MIT?s Center from Brains, Minds and Machines (CBMM), National Science Foundation (NSF), Oculus and MIT?s Quest for Intelligence. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Aug 14 08:47:51 2019 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 14 Aug 2019 07:47:51 -0500 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 Lisbon Dec 10-12, 2019 Deadline approaching Message-ID: *Apologies for any cross posting* *Eighth** Int. Conference on Complex Networks & Their Applications* *Lisbon, Portugal Dec. 10- 12, 2019* http://www.complexnetworks.org You are cordially invited to submit your contribution until September 03, 2019. *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* ? Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o Social Network Analysis and Mining edited by Springer - PLOS one *Speakers :* ? Lada Adamic Facebook, USA ? Reka Albert Penn State, USA ? Ulrik Brandes ETH Zurich, Switzerland ? Jari Saram?ki Aalto University, Finland ? Stefan Thurner Medical University of Vienna, Austria ? Michalis Vazirgiannis Ecole Polytechnique, France *Tutorials:* December 09, 2019 ? Diego Saez-Trumper Wikimedia Foundation ? Maria Angeles Serrano University of Barcelona, Spain *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao (University of Chicago, USA) *PROGRAM CHAIRS* Sabrina Gaito (Universit? degli Studi di Milano, Italy) Esteban Moro (Universidad Carlos III de Madrid , Spain) *PROGRAM CO-CHAIRS* Joana Gon?alves-S? (Universidade Nova de Lisboa, Portugal) Francisco Santos (University of Lisbon, Portugal) *SATELLITE CHAIRS* Luca Maria Aiello (Nokia-Bell Labs, UK) Rosa . M Benito (Universidad Politecnica de Madrid ) *LIGHTNING CHAIRS* Nuno Araujo (Lisbon University, Portugal) Huijuan Wang (TU Delft, Netherlands) Taha Yasseri (University of Oxford, UK) *POSTER CHAIRS* Maria Clara Gracio (University of Evora) Gitajanli Yadav (University of Cambridge, UK) Jinhu L? (Chines Ac. Science, Bejing, China) *TUTORIAL CHAIR* Bruno Goncalves (Morgan Stanley, USA) *PUBLICITY CHAIRS* Carlos Gershenson (Universidad Nacional Aut?noma de M?xico , Mexico) Leto Peel (Universit? Catholique de Louvain , Belgium) Michael Schaub (MIT, USA) Feng Xia (Dalian University of Technology, China) *SOCIAL MEDIA CHAIRS* Andreia Sofia Teixeira (universidade de Lisboa, Portugal) *PUBLICATION CHAIR* Chantal Cherifi (University of Lyon, France) *WEB CHAIR* Matteo Zignani (Universit? degli Studi di Milano, Italy) *SUBMISSION CHAIR* Christian Quadri (Universit? degli Studi di Milano, Italy) *LOCAL COMMITTEE CHAIRS* Manuel Marques-Pita (University Lus?fona, Portugal) *Join us at *: COMPLEX NETWORKS 2019, Lisbon, Portugal *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Wed Aug 14 12:23:29 2019 From: timofte.radu at gmail.com (Radu Timofte) Date: Wed, 14 Aug 2019 18:23:29 +0200 Subject: Connectionists: [Call for Papers & Participants] ICCV 2019 Advances in Image Manipulation workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 9 CHALLENGES AIM: 1st Advances in Image Manipulation workshop and challenges on bokeh effect simulation, RAW to RGB mapping, demoireing, real world super-resolution, constrained SR, extreme SR, quality mapping, video temporal SR In conjunction with ICCV 2019, November 2, Seoul, Korea. Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS - Image-to-image translation - Video-to-video translation - Image/video manipulation - Perceptual manipulation - Image/video generation and hallucination - Image/video quality assessment - Image/video semantic segmentation - Perceptual enhancement - Multimodal translation - Depth estimation - Image/video inpainting - Image/video deblurring - Image/video denoising - Image/video upsampling and super-resolution - Image/video filtering - Image/video de-hazing, de-raining, de-snowing, etc. - Demosaicing - Image/video compression - Removal of artifacts, shadows, glare and reflections, etc. - Image/video enhancement: brightening, color adjustment, sharpening, etc. - Style transfer - Hyperspectral imaging - Underwater imaging - Aerial and satellite imaging - Methods robust to changing weather conditions / adverse outdoor conditions - Image/video manipulation on mobile devices - Image/video restoration and enhancement on mobile devices - Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in ICCV style. http://iccv2019.thecvf.com/submission/main_conference/author_guidelines The review process is double blind. Accepted and presented papers will be published after the conference in the ICCV 2019 Workshops Proceedings. Author Kit: http://iccv2019.thecvf.com/files/iccv2019AuthorKit.zip Submission site: https://cmt3.research.microsoft.com/AIMW2019 WORKSHOP DATES ? *Regular Papers Submission Deadline: August 11, 2019* ? Challenge Papers Submission Deadline: September 20, 2019 IMAGE CHALLENGES (*ongoing!*) 1. *Bokeh effect, *Tracks: (1) Fidelity, (2) Perceptual 2. *RAW-to-RGB Mapping*, Tracks: (1) Fidelity, (2) Perceptual 3. *Real World Super-Resolution*, Tracks: (1) Same Domain, (2) Target Domain 4. *Demoireing*, Tracks: (1) Fidelity, (2) Perceptual 5. *Constrained Super-Resolution*, Tracks: (1) Parameters, (2) Inference, (3) Fidelity 6. *Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual VIDEO CHALLENGES (*ongoing!*) 1. *Video Temporal Super-Resolution* 2. *Video Quality Mapping*, Tracks: (1) Supervised, (2) Unsupervised 3. *Video Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the AIM webpage: http://www.vision.ee.ethz.ch/aim19/ CHALLENGES DATES ? Release of train data: July 15, 2019 ? *Competitions end: September 9, 2019 *(*extended!*) ORGANIZERS ? Radu Timofte, ETH Zurich, Switzerland ? Shuhang Gu, ETH Zurich, Switzerland ? Ming-Hsuan Yang, University of California at Merced, US / Google AI ? Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland ? Kyoung Mu Lee, Seoul National University, Korea ? Eli Shechtman, Adobe Research ? Ming-Yu Liu, NVIDIA Research ? Zhiwu Huang, ETH Zurich, Switzerland ? Seungjun Nah, Seoul National University, Korea ? Richard Zhang, Adobe Research ? Andrey Ignatov, ETH Zurich, Switzerland ? Martin Danelljan, ETH Zurich, Switzerland Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From Xujuan.Zhou at usq.edu.au Thu Aug 15 03:50:28 2019 From: Xujuan.Zhou at usq.edu.au (Xujuan Zhou) Date: Thu, 15 Aug 2019 07:50:28 +0000 Subject: Connectionists: WI2019 Call for Participants Message-ID: [Apologies if you receive this more than once] ####################################################################### CALL FOR PARTICIPANTS IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) ####################################################################### !!! Early-bird Registration by the 26th of August, 2019 !!! Registration: https://webintelligence2019.com/fees-registration/ ********************************************************** WI 2019 offers an exciting technical program and social program. In addition to sessions for presenting accepted papers, WI 2019 have world-class keynote speakers, special invited talks, panel and workshops, as well as the reception and banquet. A regular registration will cover all the events during the conference period. ================= HIGHLIGHTS ====================== 4 Invited Keynote Speakers 12 Workshops 1 Special Session ================================================================= FOUR KEYNOTE SPEAKERS +++++++++++++++++++++ Steffen Staab - "Web Futures - Inclusive, Intelligent, Sustainable" Professor of Databases and Information Systems Universit?t Koblenz-Landau, Germany Maarten de Rijke Professor of Artificial Intelligence and Information Retrieval University of Amsterdam, The Netherlands Jaak Vilo Institute of Computer Science at University of Tartu, Estonia George Giaglis - "What's next for blockchain research? From M2M commerce to self-sovereign identities for machines" Director of the Institute for the Future University of Nicosia, Cyprus +++++++++++++++++++++ WORKSHOPS +++++++++++++++++++++++++ CMDWM: Complex methods for data and web mining ABCSS: 4th International Workshop on Application of Big Data for Computational Social Science iCRM: 5th International Workshop on Intelligent Data Analysis in Integrated Social CRM TICS: Topics on Internet Censorship and Surveillance NLPOE: 12th Natural Language Processing and Ontology Engineering SMA4H: Social Media Analytics for Health intelligence: How artificial intelligence transforms healthcare Web4City2019: Web for Smart Cities SATDW: Security Analytics and Threat Detection on the Web SIWEB: Workshop On Social Innovation And Web Intelligence MLACS: Machine Learning Algorithms for Cybersecurity SPH: Security and Privacy in Healthcare ACER: Affective Computing and Emotion Recognition ++++++++++++++++++++++++++++++ SPECIAL SESSIONS ++++++++++++++++ Special Session on AI for Social Good in the Connected World +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Kind regards, Dr. Susan Xujuan Zhou Senior Lecturer (Information Systems) School of Management & Enterprise | University of Southern Queensland Sinnathamby Boulevard | Springfield Central QLD 4300 | Australia Phone: +61 7 3470 4625 Email: xujuan.zhou at usq.edu.au _____________________________________________________________ This email (including any attached files) is confidential and is for the intended recipient(s) only. If you received this email by mistake, please, as a courtesy, tell the sender, then delete this email. The views and opinions are the originator's and do not necessarily reflect those of the University of Southern Queensland. Although all reasonable precautions were taken to ensure that this email contained no viruses at the time it was sent we accept no liability for any losses arising from its receipt. The University of Southern Queensland is a registered provider of education with the Australian Government. (CRICOS Institution Code QLD 00244B / NSW 02225M, TEQSA PRV12081 ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From cfgranda at gmail.com Thu Aug 15 22:14:21 2019 From: cfgranda at gmail.com (Carlos Fernandez-Granda) Date: Thu, 15 Aug 2019 22:14:21 -0400 Subject: Connectionists: Postdoctoral position at New York University (ML for healthcare) Message-ID: A postdoctoral position is available in the laboratory of Carlos Fernandez-Granda at the Courant Institute and Center for Data Science at NYU. The focus of the position is the design of deep-learning methodology for medical applications, with emphasis on domain adaptation, high-dimensional signal processing, and semi-supervised learning. The developed techniques will be applied to automatic quantification of rehabilitation dose in stroke patients from sensor and camera data, in collaboration with the Mobilis Lab in the Department of Neurology at NYU School of Medicine, which aims to enhance motor recovery after stroke. Qualifications Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, Data Science, or related disciplines. In addition, they should have a strong background in machine learning, experience with deep learning, solid programming skills and an interest in healthcare. They must have the ability to work independently and with an interdisciplinary team. Application instructions The position is available immediately, and is renewable yearly for up to three years. Interested candidates should submit (1) a CV, (2) a brief cover letter explaining their research experience, how their interests would fit the goals of the project, career plans, and available start date, and (3) the names and contact information of three references familiar with the applicant?s research and academic work to cfgranda at cims.nyu.edu Link: https://apply.interfolio.com/66997 -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.gomez.rodriguez at gmail.com Fri Aug 16 06:27:12 2019 From: m.gomez.rodriguez at gmail.com (Manuel Gomez Rodriguez) Date: Fri, 16 Aug 2019 13:27:12 +0300 Subject: Connectionists: Call for papers: TPP @ NeurIPS 2018 Message-ID: Call for papers (TPP @ NeurIPS 2019) NeurIPS Workshop in Learning with Temporal Point Processes https://sites.google.com/view/tpp-neurips-2019 In recent years, there has been an increasing number of machine learning models, inference methods and control algorithms using temporal point processes. They have been particularly popular for understanding, predicting, and enhancing the functioning of social and information systems, where they have achieved unprecedented performance. This workshop aims to introduce temporal point processes to the machine learning community at large. In this workshop, we aim to popularize temporal point processes within the machine learning community at large. It will bring together experts from a diverse, multi-disciplinary set of backgrounds. One of the main goals of this workshop is to help the community understand the role of temporal point process on the development of human-centered machine learning models and algorithms accounting for the feedback loop between algorithmic and human decisions, which are inherently asynchronous events. We take a broad perspective to learning with temporal point process and address a wide range of themes including, but not limited to predictive models, efficient inference methods, deep learning, control and reinforcement learning, generative models, causal learning, incomplete and missing data, and emerging applications. Important dates: Submission deadline: September 15, 23:59 AOE. Author notification: September 30. Submissions in the form of extended abstracts must be at most 4 pages long (not including references and an unlimited number of pages for supplemental material, which reviewers are not required to take into account) and adhere to the NeurIPS format. We accept submissions of work recently published or currently under review. Submissions should be anonymized as described in the submission instructions and should be submitted through: https://easychair.org/conferences/?conf=wtpp19 The workshop will not have formal proceedings, but authors of accepted abstracts can choose to have either a link to an arxiv version of their paper or a pdf published on the workshop webpage. The organizers Manuel Gomez Rodriguez, Abir De, Le Song, Yan Liu, Isabel Valera and Hongyuan Zha -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Fri Aug 16 13:54:41 2019 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Fri, 16 Aug 2019 17:54:41 +0000 Subject: Connectionists: EMNLP 2019 Workshop on Noisy User-generated Text (submission deadline extended) Message-ID: 5th Workshop on Noisy User-generated Text at EMNLP 2019 - Call for Papers Workshop website: http://noisy-text.github.io/2019/ The WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records and language learner essays. We seek submissions of regular papers on original and unpublished work (same page limit EMNLP main conference; long or short papers). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in the conference proceedings. All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. Important Dates: - Extended Submission Deadline: Wednesday, August 21 (anywhere on earth) - Acceptance Notification: Monday, September 16 - Camera-Ready: Monday, September 30 - Workshop: November 3 or November 4, EMNLP (Hong Kong) Submission URL: https://www.softconf.com/emnlp2019/ws-W-NUT2019/ Best paper award sponsor: Google Topics of interest include but are not limited to: - NLP Preprocessing of Noisy Text - Part of speech tagging - Named entity tagging, including a wide range of categories, e.g. product names - Chunking of user-generated text - Parsing - Text Normalization and Error Correction - Normalizing noisy text for downstream tasks and for human readability - Error detection and correction - Robustness to Noise, both Natural and Adversarial - Multilingual NLP in noisy text - Sentiment analysis - Crowdsourcing of text data - User prediction, e.g. geolocation, gender, age, etc - Stylistics, e.g. formality, politeness, etc - Colloquial language, e.g. code-switching, idiom detection - Bilingual translation of the noisy text - Paraphrase identification and semantic similarity of short text or noisy text - Information extraction from noisy text - Domain adaptation to user-generated text - Geolocation prediction - Global and regional trend detection and event extraction - Detecting rumors, contradictory information, sarcasm and humor on social media - Extracting user demographics, profiles, and major life events - Temporal aspects of user-generated content (resolving time expressions, concept drift, diachronic analyses, etc...) All submissions should conform to EMNLP 2019 style guidelines (https://www.emnlp-ijcnlp2019.org/calls/papers). Long and short paper submissions must be anonymized. Abstract submissions should include author information (and where the work was published in a footnote on the front page, if applicable). Please submit your papers at the SoftConf link (https://www.softconf.com/emnlp2019/ws-W-NUT2019/). Workshop Organizers: - Alan Ritter (Ohio State University) - Wei Xu (Ohio State University) - Tim Baldwin (University of Melbourne) - Afshin Rahimi (University of Melbourne) Program Committee: - Muhammad Abdul-Mageed (University of British Columbia) - ?eljko Agi? (Corti) - Hadi Amiri (Harvard University) - Eiji Aramaki (NAIST) - Roy Bar-Haim (IBM) - Francesco Barbieri (UPF Barcelona) - Cosmin Bejan (Vanderbilt University) - Eric Bell (PNNL) - Adrian Benton (JHU) - Eduardo Blanco (University of North Texas) - Su Lin Blodgett (UMass Amherst) - Matko Bo?njak (University College London) - Julian Brooke (University of Melbourne) - Annabelle Carrell (JHU) - Xilun Chen (Cornell University) - Anne Cocos (University of Pennsylvania) - Arman Cohan (AI2) - Nigel Collier (University of Cambridge) - Paul Cook (University of New Brunswick) - Marina Danilevsky (IBM Research) - Leon Derczynski (IT-University of Copenhagen) - Seza Do?ru?z (Tilburg University) - Eduard Dragut (Temple University) - Xinya Du (Cornell University) - Heba Elfardy (Amazon) - Micha Elsner (Ohio State University) - Manaal Faruqui (Google) - Lisheng Fu (New York University) - Dan Garrette (Google Research) - Kevin Gimpel (TTIC) - Dan Goldwasser (Purdue University) - Amit Goyal (Criteo) - Nizar Habash (NYU Abu Dhabi) - Masato Hagiwara (Duolingo) - Bo Han (Kaplan) - Abe Handler (University of Massachusetts Amherst) - Jack Hessel (Cornell University) - Dirk Hovy (Bocconi University) - Kenny Joseph (University at Buffalo) - David Jurgens (University of Michigan) - Nobuhiro Kaji (Yahoo! Research) - Pallika Kanani (Oracle) - Emre Kiciman (Microsoft Research) - Svetlana Kiritchenko (National Research Council Canada) - Roman Klinger (University of Stuttgart) - Ekaterina Kochmar (University of Cambridge) - Vivek Kulkarni (University of California Santa Barbara) - Jonathan Kummerfeld (University of Michigan) - Wuwei Lan (Ohio State University) - Chen Li (Tencent) - Jing Li (Tencent AI) - Jessy Junyi Li (University of Texas Austin) - Nut Limsopatham (University of Glasgow) - Patrick Littell (National Research Council Canada) - Zhiyuan Liu (Tsinghua University) - Nikola Ljube?i? (University of Zagreb) - Wei-Yun Ma (Academia Sinica) - Mounica Maddela (Ohio State University) - Aaron Masino (The Children's Hospital of Philadelphia) - Chandler May (Johns Hopkins University) - Paul Michel (CMU) - Shachar Mirkin (Xerox Research) - Saif M. Mohammad (National Research Council Canada) - Ahmed Mourad (RMIT University) - G?nter Neumann (DFKI) - Vincent Ng (University of Texas at Dallas) - Eric Nichols (Honda Research Institute) - Alice Oh (KAIST) - Naoki Otani (CMU) - Patrick Pantel (Microsoft Research) - Umashanthi Pavalanathan (Georgia Tech) - Barbara Plank (University of Groningen) - Christopher Potts (Stanford University) - Daniel Preo?iuc-Pietro (Bloomberg) - Chris Quirk (Microsoft Research) - Preethi Raghavan (IBM Research) - Revanth Rameshkumar (Microsoft) - Marek Rei (University of Cambridge) - Roi Reichart (Technion) - Adithya Renduchintala (JHU) - Carolyn Penstein Rose (CMU) - Alla Rozovskaya (City University of New York) - Keisuke Sakaguchi (Johns Hopkins University) - Maarten Sap (University of Washington) - Natalie Schluter (IT University of Copenhagen) - Andrew Schwartz (Stony Brook University) - Djam? Seddah (University Paris-Sorbonne) - Dan Simonson (BlackBoiler) - Jan ?najder (University of Zagreb) - Gabriel Stanovsky (AI2) - Ian Stewart (Georgia Tech) - Jeniya Tabassum (Ohio State University) - Joel Tetreault (Grammarly) - Sara Tonelli (FBK) - Rob van der Goot (University of Groningen) - Rob Voigt (Stanford University) - Byron Wallace (Northeastern University) - Xiaojun Wan (Peking University) - Zeerak Waseem (University of Sheffield) - Zhongyu Wei (Fudan University) - Diyi Yang (Georgia Tech) - Yi Yang (ASAPP) - Guido Zarrella (MITRE) - Justine Zhang (Cornell University) -------------- next part -------------- An HTML attachment was scrubbed... URL: From thang.buivn at gmail.com Fri Aug 16 14:26:42 2019 From: thang.buivn at gmail.com (Thang Bui) Date: Fri, 16 Aug 2019 11:26:42 -0700 Subject: Connectionists: CFP: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI 2019) Message-ID: We invite researchers in machine learning and statistics to participate in the: *2nd Symposium on Advances in Approximate Bayesian Inference * Sunday December 8, 2019, Vancouver, Canada www.approximateinference.org Submission deadline: *11 October, 2019* *1. Call for Participation* We invite researchers to submit their recent work on the development, analysis, or application of approximate Bayesian inference. A submission should take the form of an extended abstract of 2-4 pages in PDF format using the PMLR one-column style [ http://approximateinference.org/pmlr/aabi_template.zip ]. For questions and troubleshooting, visit CTAN [ https://ctan.org/tex-archive/macros/latex/contrib/jmlr ]. The review process will be double-blind. Author names need to be anonymized and references may extend as far as needed beyond the 4-page upper limit. If authors' research has previously appeared in a journal, workshop, or conference (including the NeurIPS 2019 conference), their symposium submission should extend that previous work. Submissions may include a supplement/appendix, but reviewers are not responsible for reading any supplementary material. All submissions will be reviewed by at least three reviewers from the field. Accepted submissions will be accepted to presentation only. The authors of selected submissions will be invited to publish their paper in a PMLR volume. We aim to keep a general inclusive nature of the symposium for presentations. However, we will only invite the top-rated accepted papers to be published through PMLR. Papers should be submitted by 11 October through OpenReview at 23:59 GMT [ https://openreview.net/group?id=approximateinference.org/AABI/2019/Symposium ]. Final versions of the symposium submissions are due by 5 December, and will be posted on the symposium website. If you have any questions, please contact us at aabisymposium2019 at gmail.com . *2. Key Dates* Paper submission: 11 October 2019 (23:59 GMT) Acceptance notification: 8 November 2019 Final paper submission: 5 December 2019 *3. Symposium Overview* In recent years, there have been numerous advances in approximate inference methods, which have enabled Bayesian inference in increasingly challenging scenarios involving complex probabilistic models and large datasets. The 2nd Symposium on Advances in Approximate Bayesian Inference (AABI) will discuss this impact of Bayesian inference, connecting both variational and Monte Carlo methods with other fields. We encourage submissions that relate Bayesian inference to the fields of reinforcement learning, causal inference, decision processes, Bayesian compression, or differential privacy, among others. We also encourage submissions that contribute to connecting different approximate inference methods. This symposium is a continuation of past years events: + 1st Symposium on Advances in Approximate Bayesian Inference (2018) + NIPS 2017 Workshop: Advances in Approximate Bayesian Inference + NIPS 2016 Workshop: Advances in Approximate Bayesian Inference + NIPS 2015 Workshop: Advances in Approximate Bayesian Inference + NIPS 2014 Workshop: Advances in Variational Inference *4. Invited Speakers and Panelists* Invited speakers: Emily Fox (University of Washington) Michael Gutmann (University of Edinburgh) Sergey Levine (UC Berkeley) Qiang Liu (University of Texas at Austin) Christian Robert (Ceremade - Universit? Paris-Dauphine) Michalis Titsias (DeepMind) Rianne van den Berg (University of Amsterdam) Panel: Moderator: Frank Wood (University of British Columbia) Barbara Engelhardt (Princeton University) James Hensman (Prowler.io) Radford Neal (University of Toronto) Christian Robert (Ceremade - Universit? Paris-Dauphine) Sinead Williamson (University of Texas at Austin) Symposium organizers: Thang Bui (University of Sydney / Uber) Adji Dieng (Columbia University) Dawen Liang (Netflix) Francisco Ruiz (University of Cambridge / Columbia University) Cheng Zhang (Microsoft Research) Advisory committee: David Blei (Columbia University) Stephan Mandt (University of California, Irvine) James McInerney (Netflix) Dustin Tran (Google Brain / Columbia University) -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Fri Aug 16 17:52:16 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Fri, 16 Aug 2019 21:52:16 +0000 Subject: Connectionists: Third CfP ACM Intelligent User Interfaces - IUI 2020, Cagliari, Italy Message-ID: * We apologize if you receive multiple copies of this CfP * # ACM IUI 2020: Call for Papers * Cagliari, Italy * March 17-20, 2020 * http://iui.acm.org/2020/ * Contact: program2020 at iui.acm.org ## Upcoming deadlines Abstract: Oct 1, 2019 (compulsory) Paper submission: Oct 8, 2019 ## ACM IUI 2020 ACM IUI 2020 is the 25th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and the Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ### Why you should submit to ACM IUI While other conferences focus on either the AI or HCI side of this research, we address the complex interaction between the two. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other, but still highlight the connections between the two. We value papers that contribute to the methodology or theory for evaluation of intelligent user interfaces. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions. ACM IUI welcomes contribution from all relevant arenas, academia, industry, government, and non-profit organizations, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. The conference is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and doctoral consortium for graduate students. ## Papers We accept two forms of contributions: long and short papers. They should both make novel contributions to IUI, however long papers should make more substantial and significant contributions. short papers can contain more preliminary and focused contributions. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2020". ## Topics IUI topics of interest include, but are not limited to: * Application areas * Education and learning-related technologies * Health and intelligent health technologies * Assistive technologies * Social media technologies * Artificial personal assistants * Information retrieval, search, and recommendation system * Interface types * Affective and aesthetic interfaces * Collaborative interfaces * Intelligent wearable and mobile interfaces * Ubiquitous smart environments * Modalities * Agent based interfaces (e.g., embodied agents) * Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.) * Conversational interfaces * Tangible interfaces * Intelligent visualization * Methods and approaches * Methods for explanations (e.g., transparency, control, and trust ) * Persuasive technologies in IUI * Planning and plan recognition for IUI * Knowledge-based approaches to user interface design and generation * User Modelling for Intelligent Interfaces * User-Adaptive interaction and personalization * Crowd computing and human computation * Human-in-the loop machine learning * Evaluations of intelligent user interfaces * Reproducibility * Meta-analysis * Mixed-methods evaluations ## Dates * Oct 1, 2019: Abstract deadline (compulsory) * Oct 8, 2019: Papers deadline * Dec 12, 2019: Notification * Jan 17, 2020: Camera ready due * Mar 17, 2020: Conference starts ## Submission - Full and Short Papers We invite original paper submissions that describe novel user interfaces, applications, interactive and intelligent technologies, empirical studies, or design techniques. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contribution. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2020". ### Submission Guidelines * Full paper (anonymized 10 pages, references do not count toward the page limit) should make substantial, novel, and relevant contribution to the field. * Short paper (anonymized 4 pages, references do not count toward the page limit) is a much more focused and succinct contribution to the field. Short papers are not expected to include a discussion of related work that is as broad and complete as that of Full papers. * Anonymization: ACM IUI uses a double-blind review process. All submissions must be appropriately anonymized according to the following guidelines: * Author?s names and affiliations are not visible anywhere in the paper. * Acknowledgements should be anonymized or removed during the review process. * Self-citations should be included where necessary, but must use the third person. For example, "... as shown in our previous user study [2] ... " is not allowed, whereas "... as shown in Smith et al. [2] " is acceptable (because in this case the citation [2] will NOT be perceived as self-citation). * Failure to follow these guidelines may result in submissions being rejected without review. * Authors should also be aware of the SIGCHI Policy for Submission and Review at SIGCHI Conferences (https://sigchi.org/about/sigchi-policies/conference-policies/submission-and-review/) * Submissions should follow the standard sigconf format, using one of the Interim ACM templates available at http://www.acm.org/publications/article-templates/proceedings-template.html: ** LaTex Template for Papers (https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-master.zip) ** Microsoft Word Template for Papers (https://www.acm.org/binaries/content/assets/publications/word_style/interim-template-style/interim-layout-.docx) * Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: http://dl.acm.org/ccs/ccs.cfm Accepted full papers will be invited for oral presentation. Accepted short papers will be invited either as oral or poster presentation, depending on the nature and quality of the paper. #### Please note: ACM IUI 2020 is using what is called PCS 2.0 (https://new.precisionconference.com) for paper submissions. To aid SIGCHI in the process of paper submission and management, this system and hence its interface is still in development. You are encouraged to report PCS 2.0 problems or to make interface suggestions to support at precisionconference.com ## Chairs * Cristina Conati, University of British Columbia, Canada * Davide Spano, University of Cagliari, Italy * Nava Tintarev, University of Delft, Netherlands * Contact: program2020 at iui.acm.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Fri Aug 16 19:20:05 2019 From: evomusart at gmail.com (=?UTF-8?Q?Jo=C3=A3o_Correia?=) Date: Sat, 17 Aug 2019 00:20:05 +0100 Subject: Connectionists: First Call for papers EvoMUSART 2020 - 9th International Conference on Computational Intelligence in Music, Sound, Art and Design - Seville, Spain. 15-17 April 2020. Message-ID: ------------------------------------------------ Call for papers for the 9th EvoMUSART conference Please distribute (Apologies for cross-posting) ------------------------------------------------ The 9th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART) will be held in Seville, Spain, on 15-17 April 2020, as part of the evo* event. The main goal of EvoMUSART is to bring together researchers who are using Computational Intelligence techniques (e.g. Evolutionary Computation, Artificial Neural Networks, Artificial Life, Machine Learning, Swarm Intelligence) for artistic tasks such as visual art, music, architecture, video, digital games, poetry, or design. The conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Accepted papers will be published by Springer Verlag in the Lecture Notes in Computer Science series. Important dates: Submission deadline: 1 November 2019 Evo*: 15-17 April 2020 We welcome submissions which use Computational Intelligence techniques in the generation, analysis and interpretation of art, music, design, architecture and other artistic fields. Submissions must be at most 16 pages long, in Springer LNCS format (instructions downloadable from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Each submission must be anonymised for a double-blind review process. The deadline for submission is 1 November 2019. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to computational intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic object; * Systems in which computational intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART 2020 can be found at: http://www.evostar.org/2020/cfp_evomusart.php Papers published in EvoMUSART can be found at: https://evomusart-index.dei.uc.pt We look forward to seeing you in Seville in 2020! The EvoMUSART 2020 organisers Juan Romero Aniko Ekart Tiago Martins (publication chair) From christian.klaes at gmail.com Fri Aug 16 08:01:51 2019 From: christian.klaes at gmail.com (Christian Klaes) Date: Fri, 16 Aug 2019 14:01:51 +0200 Subject: Connectionists: 2 PhDs for 3 year founded positions in Neuroscience, Bochum, Germany Message-ID: Open PhD positions for two neuroscientific research projects in Bochum, Germany Project 1 (REXO): We are looking for a strong PhD candidate for the EU funded project ?Smart rehabilitation of the upper limbs with an intelligent soft-exoskeleton?. One of the main goals of the project is to develop an AI assistance system which could help patients with movement disorders. Neuronal and behavioral data of patients and healthy subjects will be recorded and used to train the exoskeleton. A virtual reality environment is used for rapid prototyping of the system. Requirements: Master degree in neuroscience, engineering, computer science or a related field. Good programming skills (e.g. Matlab, Unity 3D). Basic knowledge in machine learning (specifically deep learning). Experience with EEG and electrophysiology are not mandatory but useful. A strong interest in the field and excellent working ethics. Start: 1st of October 2019 Duration: 3 years Project 2 (VAFES): We are looking for a strong PhD candidate for the EU funded project ?Virtual reality based Arm and hand Function Evaluation and support System?. To asses the degree of various movement disorders we will develop a virtual reality based test environment for patients. Machine learning techniques will be used for data analysis and test calibration. Requirements: Master degree in neuroscience, engineering, computer science or a related field. Good programming skills (e.g. Matlab, Unity 3D). Excellent interpersonal and communication skills. A strong interest in the field and excellent working ethics. Start: 1st of January 2020 Duration: 3 years Please send applications via email (see below). Contact: Dr. Christian Klaes Emmy Noether Group Leader Department of Neurosurgery University hospital Knappschaftskrankenhaus Bochum GmbH In der Schornau 23-25 44892 Bochum Germany Tel.: +49 234 299 80262 email: christian.klaes at rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.VanSchaik at westernsydney.edu.au Sun Aug 18 00:50:05 2019 From: A.VanSchaik at westernsydney.edu.au (Andre van Schaik) Date: Sun, 18 Aug 2019 04:50:05 +0000 Subject: Connectionists: Early/Mid Career openings at Western Sydney University Message-ID: Over the next five years, Western Sydney University will recruit 50 early and mid-career researchers through the Vice-Chancellor?s Research Fellowships. In our first call for applicants we are targeting researchers whose work aligns with Western?s research strengths including: The International Centre for Neuromorphic Systems (ICNS) ? Machine Learning and Artificial Intelligence ? Neuromorphic Engineering ? Novel Architectures for Computing Systems The MARCS Institute for Brain, Behaviour and Development ? Cognitive Neuroscience ? Human Machine Interaction and Artificial Intelligence Throughout the four years of their fellowship, Fellows will have access to state-of-the-art facilities and vibrant and dynamic sites of research activity. For more information on how to apply go to our recruitment page, or contact Saada Georges at s.georges at westernsydney.edu.au for further information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Mon Aug 19 02:25:58 2019 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Mon, 19 Aug 2019 06:25:58 +0000 Subject: Connectionists: Natural Language Processing & Machine Learning faculty positions at the University of Copenhagen Message-ID: <8981FDB1-C01C-4EDC-B0C1-35B6D2712D29@di.ku.dk> The Department of Computer Science at the University of Copenhagen is currently seeking to recruit a Tenure-Track Assistant Professor (https://employment.ku.dk/faculty/?show=149913) and Associate Professor (https://employment.ku.dk/faculty/?show=149914) in Natural Language Processing and Machine Learning. Preferred candidates will have a PhD in Computer Science, Machine Learning, Computational Linguistics, or equivalent. A strong academic background in Natural Language Processing and Machine Learning, documented by publications in relevant top tier venues, is necessary. The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Application deadline: 1 September 2019 Earliest starting date: 1 February 2020 You can read more about the positions and apply via the links above. ??? Isabelle Augenstein, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Aug 20 08:41:21 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Tue, 20 Aug 2019 15:41:21 +0300 Subject: Connectionists: Last call for the 2019 Short course on Autonomous Systems (self-driving cars), 26-27th August 2019, Aristotle University of Thessaloniki, Greece Message-ID: <051801d55754$92a4a230$b7ede690$@csd.auth.gr> Last call for the 2019 Short course on Autonomous Systems (self-driving cars), 26-27th August 2019, Aristotle University of Thessaloniki, Greece Dear Autonomous Systems (cars) engineers, scientists and enthusiasts, you are welcomed to register in the short course on Autonomous Systems having focus on autonomous/self-driving cars. It will take place on 26-27/8/2019 at the Aristotle University of Thessaloniki, Thessaloniki, Greece. The short course consists of 16 1-hour lectures organized in two parts (one per day): Part A lectures provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Motion estimation, Mapping and Localization.) They also provide an overview of the State-of-the-Art on autonomous car vision and real-time road infrastructure monitoring. Part B lectures provide an in-depth view of machine learning related topics (Introduction to neural networks, Multilayer NNs/backpropagation, Deep neural networks, Convolution NNs, Deep learning for target detection). They will also cover Deep NN computation optimization schemes based on parallel architectures, GPU programming, and fast convolution algorithms. Furthermore, deep learning for 2D target (e.g., car, pedestrian) detection, tracking and 3D target localization will be detailed. Finally, additional topics related to autonomous car technologies, mainly focusing on car vision will be presented, involving road scene understanding and 3D road modeling. You can use the following link for course registration: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/ The course is already very well populated with registrants from all over the world. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). Dr. R. Fan, Hong Kong University of Science and Technology (HKUST) will overview work on self-driving cars, while also presenting progress in the HKUST autonomous vehicle project. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Thessaloniki is a very pleasant city at the end of August, with vibrant night-life, very close to world class resorts in Chalkidiki peninsula. Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally and its campus is at the city center. Relevant links: Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el H2020 project Multidrone: https://multidrone.eu/ 3) AIIA Lab www.aiia.csd.auth.gr Course description Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Motion estimation 6. Mapping and localization 7. Introduction to autonomous car vision 8. Real-time road infrastructure monitoring Part B (8 hours) Deep learning topic list 1. Introduction to neural networks. Perceptron, backpropagation 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multicore CPU architectures. GPU programming 4. Fast convolution algorithms 5. Deep learning for target detection 6. 2D Target tracking and 3D target localization 7. Road scene understanding 8. 3D road surface modelling Sincerely yours Prof. I. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From mschaub at mit.edu Tue Aug 20 12:55:01 2019 From: mschaub at mit.edu (Michael Schaub) Date: Tue, 20 Aug 2019 17:55:01 +0100 Subject: Connectionists: Complex Networks 2019 Message-ID: <823e823c-0be7-afa8-de82-2cf3572ded4d@mit.edu> Apologies for any cross posting Eighth Int. Conference on Complex Networks & Their Applications Lisbon, Portugal Dec. 10- 12, 2019 http://www.complexnetworks.org You are cordially invited to submit your contribution until September 03, 2019. Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome. - Papers will be included in the conference proceedings edited by Springer? - Extended abstracts will be published in the Book of Abstracts (with ISBN)? - Extended versions will be invited for publication in special issues of international journals: ?-- Applied Network Science edited by Springer ?-- Computational Social Networks edited by Springer ?-- Network Science edited by Cambridge University Press ?-- Social Network Analysis and Mining edited by Springer ?-- PLOS one Speakers :? - Lada Adamic Facebook, USA - Reka Albert Penn State, USA - Ulrik Brandes ETH Zurich, Switzerland - Jari Saram?ki Aalto University, Finland - Stefan Thurner Medical University of Vienna, Austria - Michalis Vazirgiannis Ecole Polytechnique, France Tutorials: (TBU) December 09, 2019 - Maria Angeles Serrano University of Barcelona, Spain Topics include, but are not limited to:? - Models of Complex Networks - Structural Network Properties and Analysis - Complex Networks and Epidemics - Community Structure in Networks - Community Discovery in Complex Networks - Motif Discovery in Complex Networks - Network Mining - Network embedding methods - Machine learning with graphs? - Dynamics and Evolution Patterns of Complex Networks - Link Prediction - Multilayer Networks - Network Controllability - Synchronization in Networks - Visual Representation of Complex Networks - Large-scale Graph Analytics - Social Reputation, Influence, and Trust - Information Spreading in Social Media - Rumour and Viral Marketing in Social Networks - Recommendation Systems and Complex Networks - Financial and Economic Networks - Complex Networks and Mobility - Biological and Technological Networks - Mobile call Networks - Bioinformatics and Earth Sciences Applications - Resilience and Robustness of Complex Networks - Complex Networks for Physical Infrastructures - Complex Networks, Smart Cities and Smart Grids - Political networks - Supply chain networks - Complex networks and information systems - Complex networks and CPS/IoT - Graph signal processing - Cognitive Network Science - Network Medicine - Network Neuroscience - Quantifying success through network analysis - Temporal and spatial networks - Historical Networks GENERAL CHAIRS Hocine Cherifi? (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) ADVISORY BOARD Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza? (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao? (University of Chicago, USA) PROGRAM CHAIRS Sabrina Gaito? (Universit? degli Studi di Milano, Italy) Esteban Moro (Universidad Carlos III de Madrid, Spain) PROGRAM CO-CHAIRS Joana Gon?alves-S? (Universidade Nova de Lisboa, Portugal) Francisco Santos (University of Lisbon, Portugal) SATELLITE CHAIRS Luca Maria Aiello (Nokia-Bell Labs, UK) Rosa . M Benito (Universidad Politecnica de Madrid) LIGHTNING CHAIRS Nuno Araujo (Lisbon University, Portugal)? Huijuan Wang (TU Delft, Netherlands) Taha Yasseri (University of Oxford, UK) POSTER CHAIRS Maria Clara Gracio (University of Evora) Gitajanli Yadav (University of Cambridge, UK) Jinhu L? (Chines Ac. Science, Bejing, China) TUTORIAL CHAIR Bruno Goncalves (Morgan Stanley, USA) PUBLICITY CHAIRS Carlos Gershenson? (Universidad Nacional Aut?noma de M?xico, Mexico) Leto Peel? (Universit? Catholique de Louvain, Belgium) Michael Schaub (MIT, USA) Feng Xia? (Dalian University of Technology, China) SOCIAL MEDIA CHAIRS Andreia Sofia Teixeira (universidade de Lisboa, Portugal) PUBLICATION CHAIR Chantal Cherifi (University of Lyon, France) WEB CHAIR Matteo Zignani? (Universit? degli Studi di Milano, Italy) SUBMISSION CHAIR Christian Quadri? (Universit? degli Studi di Milano, Italy) LOCAL COMMITTEE CHAIRS Manuel Marques-Pita (University Lus?fona, Portugal) -------------- next part -------------- An HTML attachment was scrubbed... URL: From clg20 at psu.edu Tue Aug 20 23:20:30 2019 From: clg20 at psu.edu (Giles, Clyde Lee) Date: Wed, 21 Aug 2019 03:20:30 +0000 Subject: Connectionists: Postdoc in Machine Learning at Penn State Message-ID: <569FC594-1A37-47FE-A097-D015DE9788D3@contoso.com> The College of Information Sciences and Technology at The Pennsylvania State University is accepting applications for a two-year, full-time postdoctoral position to start October 1, 2019. The candidate will support a Defense Advanced Research Projects Agency (DARPA)-funded effort to develop synthetic prediction markets for assigning confidence scores to findings in the social science literatures. Fundamental work will include innovations in information retrieval, dynamical systems, and machine learning. A PhD in math, computer science, engineering or related discipline is required. Experience in information retrieval, big data, and machine learning is preferred. Demonstrated interest in the social and behavioral sciences is welcome. Research will be primarily advised by Dr. Lee Giles. The successful candidate will work closely with faculty and graduate students from Penn State, Texas A&M, Rutgers University and Old Dominion University on this large program. Please apply online at https://psu.jobs/job/89279 -------------- next part -------------- An HTML attachment was scrubbed... URL: From odelia at cs.miami.edu Wed Aug 21 03:18:09 2019 From: odelia at cs.miami.edu (Odelia Schwartz) Date: Wed, 21 Aug 2019 10:18:09 +0300 Subject: Connectionists: Faculty positions at University of Miami Message-ID: The Department of Computer Science at University of Miami has openings for faculty positions in the broad areas of Artificial Intelligence and Data Science, including Computational Neuroscience and Computational Cognitive Science (see ad below). Odelia --------- Link for ad and application: https://umiami.wd1.myworkdayjobs.com/en-US/UMFaculty/job/Coral-Gables-FL/Faculty-Positions-in-Computer-Science_R100034093 The University of Miami (UM) is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world. The Department of Computer Science at the University of Miami invites applications for various level Professor positions. Candidates must possess a PhD in Computer Science or a closely related discipline. These positions require teaching and research expertise in Artificial Intelligence/Data Science, including areas such as Data Extraction, Data Visualization, Machine Learning, Cognitive Intelligence, and Intelligent Actuators. Faculty are expected to teach at both the undergraduate and graduate levels, and to develop and maintain an internationally recognized research program. The department encourages innovative interdisciplinary work with other units in the university. Applicants should submit five PDF documents: 1. A cover letter, including the names and contact information for at least three references. 2. Curriculum vitae. 3. Research plan. 4. Teaching philosophy, with results of all teaching evaluations from the last two years. 5. Up to three representative papers (concatenated into a single PDF). Submissions must be made online at https://umiami.wd1.myworkdayjobs.com/UMFaculty. Review of applications will begin on 1st September 2019, and will continue until the positions are filled. Enquiries may be directed to search at cs.miami.edu. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From markus.butz-ostendorf at biomax.com Wed Aug 21 06:36:15 2019 From: markus.butz-ostendorf at biomax.com (Markus Butz-Ostendorf) Date: Wed, 21 Aug 2019 12:36:15 +0200 Subject: Connectionists: =?utf-8?q?Biomax_offers_PhD_position_within_EU_Ho?= =?utf-8?q?rizon_2020_Marie_Sk=C5=82odowska-Curie_Project_TranSYS?= Message-ID: <8f8fca9c-7ff4-e0f4-97bc-2bdf055651ac@biomax.com> *Post-graduate position/fellow-ship at Biomax Informatics AG, Munich, Germany* TranSYS, is an European Training Network for post-graduate (PhD) studies which will recruit 15 Early Stage Researchers (ESRs) in the new area of Systems Health to develop tools and approaches to exploit large and complex datasets and advance Precision (Personalised) Medicine in several disease areas. One position (ESR 11) is available at Biomax in close collaboration with the Max-Planck Institute for Psychiatry in Munich for the identification of biological subtypes related to treatment resistant depression. Eligibility : TranSYS wishes to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Recruitment targets ESR backgrounds in 1) Lifesciences; 2) Engineering sciences and (3) Maths and Computational Modelling. We expect that applicants hold a university degree that qualifies them for doctoral studies at their recruiting organization. Applications at: https://lnkd.in/e-xuQkB Don't hesitate to contact me with further questions. Kind regards, Markus -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht M?nchen, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email:markus.butz-ostendorf at biomax.com Website:http://www.biomax.com PGP:https://ssl.biomax.de/pgp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4247 bytes Desc: S/MIME Cryptographic Signature URL: From info-ids at maastrichtuniversity.nl Wed Aug 21 06:24:19 2019 From: info-ids at maastrichtuniversity.nl (Info-ids (IDS)) Date: Wed, 21 Aug 2019 10:24:19 +0000 Subject: Connectionists: Tenure-track or tenured faculty positions in Autonomous Discovery Science, Computational Social Science, and AI and Ethics, Law, and Societal Issues (ELSI) at the Institute of Data Science, Maastricht University (NL) Message-ID: <0f2a23afced74b2d8b6c78cb69e853e5@UM-MAIL3218.unimaas.nl> We are thrilled to recruit *3* talented individuals to our highly interdisciplinary Institute of Data Science at Maastricht University. Open to all professor ranks, come join our rapidly growing team to pursue new research and training in wonderfully diverse and collaborative environment. The Institute of Data Science at Maastricht University invites applications for 3 tenure-track or tenured faculty positions in the areas of * autonomous discovery science; * computational social science; * AI ethics, law and societal issues. Deadline: 29 September 2019 For the full vacancy text and to apply, go to: https://www.academictransfer.com/en/284856/tenure-track-or-tenured-faculty-positions-in-autonomous-discovery-science-computational-social-science-and-ai-and-ethics-law-and-societal-issues-elsi/ Ambition: Despite vast and increasing amounts of data on the Web, our ability to find, obtain, understand, and use data by autonomous machine agents in a societal context remains highly limited owing to an interplay of scientific, technical, social, legal, and ethical factors. To address this challenge, the Institute of Data Science at Maastricht University seeks to bring together an outstanding team of collaborative researchers to join existing faculty and staff to pursue highly interdisciplinary applied research in this area. The team will develop externally funded research programs, interdisciplinary educational programming, and be active in broader outreach and community initiatives. Positions: Within the initiative, three positions have been created as either tenured or tenure track, focusing on three key research areas: Autonomous discovery science. The aim of the position is to undertake research and development towards an intelligent and autonomous systems to coordinate people and machines in a manner that furthers scientific knowledge. We welcome outstanding candidates with expertise in areas such as, but not limited to, autonomous systems, automated reasoning, collective intelligence, web-scale data mining, argumentation and other logics, explainable AI, deep learning, and life-long learning. Computational social science. The aim of the position is to develop computational methods to characterize, guide, and enhance digital interactions, particularly with machines. We welcome outstanding candidates with expertise in areas such as, but not limited to, computational social science, social media analysis, human-computer interaction, computational linguistics, and large-scale digital survey methodology. AI and Ethics, law and societal issues. The aim of this position is to contribute to our ELSI work and team, with a focus on how far AI developments fit with current governance approaches and requirements; how the presumptions about those approaches are challenged by the new developments; how different stakeholder groups and publics view AI developments in different settings, and how they view the governance of AI; what new governance structures might look like; how new governance structures resonate with different publics and regulators. We welcome outstanding candidates with expertise in areas such as, but not limited to, sociology, anthropology, socio-legal studies, cultural studies, anthropology, and public engagement. Tasks * Conduct cutting edge research in the foundation, applications, and/or governance of data science * Be involved in interdisciplinary research between the Institute of Data Science and other parts of the University * Develop and secure external funding to support research programme * Deliver educational programming at the undergraduate and graduate levels. * Establish and advocate for best practices in scientific reproducibility of all results, and to promote the responsible use of data. Requirements * A PhD in mathematics, computer science, data science, artificial intelligence, or equivalent; and sociology, anthropology, socio-legal studies, cultural studies, anthropology, public engagement or equivalent for the AI and ELSI position. * A record of outstanding research as evidenced by publications, grants, software developed, and other scholarly measures of impact * A record of successful research collaborations * Excellent written and oral presentation skills * Strong commitment to undergraduate and graduate teaching * Strong interpersonal, organizational, and communication skills * Strong analytical, computational, and quantitative abilities * Strong critical and qualitative ELSI skills for the AI and ELSI position. * English Fluency. For the full vacancy text and to apply, go to: https://www.academictransfer.com/en/284856/tenure-track-or-tenured-faculty-positions-in-autonomous-discovery-science-computational-social-science-and-ai-and-ethics-law-and-societal-issues-elsi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From shu-chen.li at tu-dresden.de Wed Aug 21 11:03:54 2019 From: shu-chen.li at tu-dresden.de (Shu-Chen Li) Date: Wed, 21 Aug 2019 15:03:54 +0000 Subject: Connectionists: Position Announcement--Junior Research Group Leader for Human Perception and Action --TU Dresden Message-ID: <506AD3A9-6E47-410C-9A93-5A6839263D46@contoso.com> (below and attached) For the Centre for Tactile Internet with Human-in-the-Loop (CeTI) the Faculty of Psychology invites applications for a Junior Research Group Leader for Human Perception and Action (Subject to personal qualification employees are remunerated according to salary group E 14 TV-L) starting in April 2020 with a fixed term until 31.12.2025 (an earlier starting date in 2020 could also be negotiated). The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). Research at CeTI aims at achieving significant breakthroughs for enhancing collaborations between humans and machines in real, virtual and remote environments. Tasks: The successful applicant is expected to independently perform the following: ? develop and conduct empirical research on human multisensory perception and action with an emphasis on human-machine interactions; ? establish a research group, supervise PhD fellows and Master students; ? organize the shared usages of lab equipments in CeTI?s Human-in-the-Loop Lab; ? publish research articles in high-ranking research journals; ? actively collaborate with other researchers in CeTI ? participate in grant applications and develop new research programs. Requirements: Of particular interest for us are excellent postdocs with university and doctoral degree from the fields of psychology, cognitive science, or cognitive neuroscience whose research aims at understanding the dynamics of human goal-directed multisensory perception and action in the context of human?machine interactions. Candidates with expertise in combining motion capture with virtual or augmented reality systems as well as computational modelling are particularly encouraged to apply. The primary criteria for appointment will be a strong record of innovative research and academic performance, an original and promising vision for future work program in the centre, as well as high potential for establishing an independent research group with fruitful interdisciplinary collaborations. [cidimage001.png at 01D5583C.900B0120]The position offers an excellent environment within the DFG-funded excellence cluster, including opportunities for interdisciplinary collaborations between psychologists, cognitive neuroscientists, medical researchers and engineers as well as access to state-of-the-art technologies. For additional information on the research program at the center (see:https://www.ceti.one/). CeTI collaborates closely with the Faculty of Psychology (https://tu-dresden.de/mn/psychologie), the Faculty of Electrical and Computer Engineering (https://tu-dresden.de/ing/elektrotechnik/), and the Faculty of Computer Science (https://tu-dresden.de/ing/informatik/). Applications from women are particularly welcome. The same applies to people with disabilities. Interested candidates should send their applications including a CV, a publication list, and a summary of research achievements and interests (max. 2 pages), project ideas (1 page), and the email addresses of three referees via the TU Dresden SecureMail Portalhttps://securemail.tu-dresden.de by sending it as a single pdf document to Prof. Shu-Chen Li (Shu-Chen.Li at tu-dresden.de) with the Subject header: CeTI-JRGL Human Perception and Action or by post to TU Dresden, CeTI, Gesch?ftsf?hrer Herrn Hrjehor Mark, Helmholtzstr. 10, 01069 Dresden. Deadline of application is October 30, 2019 (stamped arrival date of the university central mail service applies). Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed. Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website:https://tu-dresden.de/karriere/datenschutzhinweis _______________________________________________________________________________ Prof. Shu-Chen Li, Ph.D. Lehrstuhl Entwicklungspsychologie und Neurowissenschaft der Lebensspanne (Lifespan Developmental Neuroscience) Fakult?t Psychologie (Faculty of Psychology) Zellescher Weg 17, Rm. A233 D-01062 Dresden, Germany E-mail: Shu-Chen.Li at tu-dresden.de URL: http://tu-dresden.de/mn/psy/epsy Tel.: +49-351-46334162/Fax:+49-351-46342194 Excellence Cluster ? Centre for Tactile Internet with Human-in-the-Loop URL: https://www.ceti.one Technische Universit?t Dresden (TU Dresden) ________________________________________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 38646 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: TU_Dresden_CeTI_Psy_JuniorResearchGroupLeader_E_14.pdf Type: application/pdf Size: 75082 bytes Desc: TU_Dresden_CeTI_Psy_JuniorResearchGroupLeader_E_14.pdf URL: From rothkopf at fias.uni-frankfurt.de Wed Aug 21 15:14:04 2019 From: rothkopf at fias.uni-frankfurt.de (Constantin Rothkopf) Date: Wed, 21 Aug 2019 21:14:04 +0200 Subject: Connectionists: PhD position - Inverse Reinforcement Learning Message-ID: The Centre for Cognitive Science at Technische Universitaet Darmstadt, Germany invites applications for a Ph.D. Position in Inverse Reinforcement Learning initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of inverse reinforcement learning with the particular focus of elucidating human decision making and collective human decision making in the wild, i.e. under real world conditions. The research project is a joint venture between the Bioinspired Communication Lab and the Psychology of Information Processing Lab, both members of the Centre of Cognitive Science at TU Darmstadt. Accordingly, the student will be advised by Prof. Heinz Koeppl, Department of Electrical Engineering and Prof. Constantin Rothkopf, Institute of Psychology. Work will involve methodological research in machine learning, design of dedicated human behavioral experiments, and the analysis and further processing of gathered data. What we offer We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany?s leading universities in the domain of computer science and engineering. The student will be embedded in the ongoing research activities within the Centre for Cognitive Science and will hence have the opportunity to interact with many other cognitive science researchers. The conducted research is expected to culminate in a Ph.D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops. Your profile Candidates should have a M.Sc. degree in one of the following fields: computer science, physics, mathematics, engineering, or cognitive science. Candidates are required to have a sincere interest in interdisciplinary research at the crossroad of psychology and computer science. Application We look forward to receiving your application, consisting of a cover letter in which you lay out your interest in the indicated research area, curriculum vitae, copies of certificates and contact details of at least two academic references. Please send your application package as a single PDF file to application at bcs.tu-darmstadt.de. Code No. 487. The position is initially advertised till September 9th 2019, but later applications will be considered until the position is filled. -- Constantin A. Rothkopf, PhD http://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ http://www.ai-da.tu-darmstadt.de/ From sabu.thampi at iiitmk.ac.in Thu Aug 22 02:26:42 2019 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Thu, 22 Aug 2019 11:56:42 +0530 Subject: Connectionists: Extended Submission Deadline - Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'19) Message-ID: Apologies for cross-postings! ** Please forward to anyone who might be interested ** ------------------------------------------------------------------------------------------------------------- Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'19) December 18-21, 2019, Trivandrum, Kerala, India http://www.acn-conference.org/somma2019/ Extended Submission Deadline: September 10, 2019 EDAS Submission Link: http://edas.info/N26363 Proceedings by Springer in Communications in Computer and Information Science Series(CCIS) --------------------------------------------------------------------------------------------------------------- CALL FOR PAPERS SoMMA'19 aims to provide a forum for scientists and researchers to present their latest results and a means to discuss the recent developments in machine learning, metaheuristics, and their applications. The technical program of the symposium will include tutorials, regular technical sessions, workshops and plenary/keynote speeches. The symposium will be held in Trivandrum, Kerala, India during December 18-21, 2019. Kerala renowned as the ?Gods own Country?, situated in the southwestern tip of India, bestowed with unique geographical features that have made it one of the most attractive tourist destinations in India. All accepted papers will be published by Springer in Communications in Computer and Information Science Series(CCIS). The proceedings will be available via the SpringerLink digital library. CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, and Scopus. CCIS volumes are also submitted for inclusion in ISI Proceedings. The organizers solicit previously unpublished papers offering novel research contributions in any aspect of machine learning, metaheuristics, and their applications. Topics of interest include, but are not limited to, the following: METAHEURISTICS ALGORITHMS ----------------------------- -- Animal Migration Optimization -- Ant Colony Optimization -- Ant Lion Optimization Algorithm -- Artificial Algae Algorithm -- Artificial Bee Colony Algorithm -- Artificial Chemical Process Algorithm -- Artificial Ecosystem Algorithm -- Artificial Fish Swarm Optimization -- Artificial Immune Systems -- Bacterial Evolutionary Algorithm -- Bat Algorithm -- Bird Mating Optimizer -- Bull Optimisation Algorithm -- Bumble Bees Mating Optimization -- Cellular Automata -- Central Force Optimization -- Chaos Optimization Algorithm -- Chemical Reaction Algorithm -- Chicken Swarm Optimization -- Collective Animal Behavior -- Construct, Merge, Solve & Adapt -- Coral Reefs Optimization -- Cuckoo Search -- Cultural Algorithms -- Cuttlefish Algorithm -- Differential Evolution -- Dragonfly Algorithm -- Earthworm Optimization -- Elephant Herd Algorithm -- Emperor Penguins Colony -- Evolutionary Computation and Metaheuristics -- Firefly Algorithm -- Forest Optimization Algorithm -- Fuzzy-metaheuristic Methods -- Genetic Programming -- Grasshopper Optimization Algorithm -- Gravitational Search Algorithm -- Greedy Randomized Adaptive Search -- Grey Wolf Optimizer -- Group Search Optimizer -- Guided Local Search & Fast Local Search -- Harmony Search -- Honey-Bees Mating Optimization -- Hunting Search Algorithm -- Krill Herd Algorithm -- Intelligent Water Drops Algorithm -- Iterated Local Search -- Locust Search Algorithm -- Memetic Algorithms -- Meta-Heuristic Algorithms for Deep Learning -- Mine Blast Algorithm -- Monarch Butterfly Optimization -- Moth-Flame Optimization Algorithm -- Multi-objective Optimisation -- Multiple Operator Metaheuristics -- Neighborhood Search Metaheuristics -- Parliamentary Optimization Algorithm -- Particle Swarm Optimization -- Photosynthetic and Enzyme Algorithm -- Physarum Polycephalum Algorithm -- Population-Based Metaheuristics -- Rainfall Optimization Algorithm -- River Formation Dynamics -- Roach Infestation Optimization -- Salp Swarm Algorithm -- Scatter Search -- Seed-Based Plant Propagation Algorithm -- Sheep Flocks Heredity Model Algorithm -- Shuffled Frog Leaping Algorithm -- Simulated Annealing -- Social Cognitive Optimization -- Social Spider Optimization -- Sperm Swarm Optimization Algorithm -- Spiral Optimization Algorithm -- Stellar-Mass Black Hole Optimization -- Stochastic Search -- Strawberry Algorithm -- Tabu Search -- Teaching-Learning-Based Optimization -- Team Game Algorithm -- The States of Matter Search -- Tree Physiology Optimization -- Variable Neighbourhood Search -- Water Wave Optimization -- Whale Optimization Algorithm -- Wind-Driven Optimization MACHINE LEARNING TECHNIQUES ------------------------------- -- Adversarial Learning -- Analogical Learning Methods -- Bayesian Models and Methods -- Bayesian Networks -- Biologically Inspired Machine Learning -- Case-Based Reasoning and Associative Memory -- Classification and Clustering -- Cognitive Modeling -- Collaborative Filtering -- Computational Learning Theory -- Conceptional Learning and Clustering -- Connectionist Networks -- Convolutional Neural Networks -- Cooperative Machine Learning -- Deep Learning -- Distributed Machine Learning -- Embedded Machine Learning -- Ensemble Methods -- Evolutionary Computation and Deep Neural Networks -- Explanation-Based Learning -- Feature Learning -- Formal Modeling for Machine Learning Techniques -- Fuzzy Logic and Machine Learning -- Genetic Algorithms and Machine Learning -- Graphical Models -- Hybrid Learning Algorithms -- Indefinite Proximity Learning -- Inductive Learning -- Kernel Machines K-Nearest Neighbor Classifier -- Knowledge Representation in Machine Learning -- Large-Scale Machine Learning -- Learning Decision and Regression Trees -- Learning through Fuzzy Logic -- Loopy Belief Propagation -- Multi-Agent Learning -- Multi-Strategy Learning -- Neural Network Learning -- Online and Incremental Learning -- Organisational Learning and Evolutional Learning -- Recurrent Network Architectures -- Reinforcement Learning -- Relevance Vector Machine -- Rough Sets Theory and Machine Learning -- Scalability of Learning Algorithms -- Secure Machine Learning Algorithms -- Statistical and Evolutionary Learning -- Stochastic Gradient Descent -- Support Vector Machine -- Time Series and Sequential Pattern Mining -- Transfer Learning -- Self-Organizing Maps and Vector Quantization APPLICATIONS OF MACHINE LEARNING AND META-HEURISTIC ALGORITHMS ----------------------------------------------------------------- -- Affective Computing -- Autonomic Control Systems -- Automatic Driving -- Behavioural Analytics/Graph Analytics -- Biometric Applications -- Blockchain and Deep Learning -- Brain-Computer Interfaces -- Cognitive Imaging and Processing -- Cognitive Radio Networks -- Computer Vision & Image Processing -- Context-Awareness and Intelligent Environment Applications -- Cyber-Physical Systems -- Cyber Defense -- Data Analysis and Intelligent Optimization -- Digital Forensics -- Digital Twin/AI Modeling -- Emotion Recognition -- Experience Economy/Financial Engineering and Time Series Forecasting -- Game Playing and Problem Solving -- Hyper Personalisation -- Intelligent Cloud and Intelligent Edge -- Intelligent Human-Computer Interaction -- Intrusion Detection Systems -- Intelligent Transport Systems and Smart Mobility -- Intelligent Virtual Environments -- Internet of Things and Sensor Networks -- Multi-sensor Intelligent Information Fusion -- Neuroscience and Behavior Analysis in Robotics -- Neuromorphic Computing -- Online Social Networks -- Pattern Recognition -- Peer-to-Peer Networks -- Recommender Systems -- Smart Grid -- Smart Surveillance Systems -- Smart Healthcare and Disease Analytics -- Smart Living and Smart Cities -- Speech and Natural Language Processing -- Trust Management All papers that conform to submission guidelines will be peer-reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. Acceptance of papers will be communicated to authors by email. Independently of the presentation type, all papers are included in the proceedings. Important Dates ------------------ Extended Submission Deadline: September 10, 2019 Acceptance Notification: October 10, 2019 Final Paper Deadline: November 7, 2019 Contact Us ----------- E-mail: somma.symposium at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From wermter at informatik.uni-hamburg.de Thu Aug 22 06:32:05 2019 From: wermter at informatik.uni-hamburg.de (Stefan Wermter) Date: Thu, 22 Aug 2019 12:32:05 +0200 Subject: Connectionists: [jobs] Neural Ego-Noise Reduction for Interactive Robots Message-ID: The Faculty of Mathematics, Informatics and Natural Sciences / Department of Informatics invites applications for a RESEARCH ASSOCIATE Ego-Noise Reduction for Interactive Robots - SALARY LEVEL 13 TV-L - The position in accordance with Section 28 subsection 1 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) commences on the earliest possible date. This is a fixed term contract in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three years. The position calls for 75% of standard work hours per week. (Full-time positions currently comprise 39 hours per week.) Responsibilities: Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate?s own academic work. Specific Duties: The candidate will work in the Signal Processing and the Knowledge Technology groups and will do research on modern methods for single and multichannel speech enhancement for human-robot interfaces. The particular task is to take the specific ego-noise of an interactive robot into account, such as the sound of the motors and the cooling systems of specific robotic platforms. Teaching duties are expected to be 3 hours/week at the BSc Informatics level. Requirements: A university degree in a relevant field. Examples are Computer Science, Artificial Intelligence, Robotics or Electrical Engineering. We require the candidate to have excellent knowledge in signal processing and neural network learning as well as good programming skills in Python and neural network frameworks. Experience in speech processing is helpful. Fluent English, spoken and written, and good communications skills are mandatory. Knowledge of German is desired; we expect the willingness to learn German for non-native German speakers. The University aims to increase the number of women in research and teaching and explicitly encourages women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HmbGleiG). Qualified disabled candidates or applicants with equivalent status receive preference in the application process. For further information, please contact Stefan Wermter (stefan.wermter at informatik.uni-hamburg.de) or Timo Gerkmann (timo.gerkmann at uni-hamburg.de) or consult our website athttp://www.informatik.uni-hamburg.de/WTM/ orhttp://uhh.de/inf-sp. Applications should include a cover letter, a tabular curriculum vitae, and copies of degree certificate(s). Please send applications by 25.08.2019 to:sp-office at informatik.uni-hamburg.de in a single PDF document. Please start the subject of your Email with [Application Kooperationspromotion]. Please do not submit original documents as we are not able to return them. *********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/WTM/ *********************************************** From Phil.Garner at idiap.ch Thu Aug 22 06:07:48 2019 From: Phil.Garner at idiap.ch (Phil Garner) Date: Thu, 22 Aug 2019 12:07:48 +0200 Subject: Connectionists: PhD position in Spiking nets for Speech Prosody Message-ID: Dear Colleagues, There is a fully funded PhD position open at Idiap Research Institute on spiking neural architectures for speech prosody. The research will build on work done recently at Idiap on creating tools for physiologically plausible modelling of speech. The current "toolbox" contains rudimentary muscle models and means to drive these using conventional (deep) neural networks. The main focus of the work will involve use of spiking neural networks such as the "integrate and fire" type that is broadly representative of those found in biological systems. Whilst we have focused so far on prosody (actually intonation), the application is open ended; the focus is on the neural modelling. A key problem to be solved will be that of training of the spiking networks, especially with the recurrence that is usual in such networks. We hope to be able to train and use spiking networks as easily as conventional backpropagation networks, and to shed light on current understanding of how biological spiking networks learn (e.g., via spike timing-dependent plasticity). For more information, and to apply, please follow this link: http://www.idiap.ch/education-and-jobs/job-10263 Idiap is located in Martigny in French speaking Switzerland, but functions in English and hosts many nationalities. PhD students are registered at EPFL. All positions offer quite generous salaries. Martigny has a distillery and a micro-brewery and is close to all manner of skiing, hiking and mountain life. There are other open positions on Idiap's main page https://www.idiap.ch/en/join-us/job-opportunities Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner From jimtoer at ifi.uio.no Fri Aug 23 02:10:08 2019 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Fri, 23 Aug 2019 06:10:08 +0000 Subject: Connectionists: [jobs] One PhD and one Postdoc/Researcher Fellowship in Reducing Vulnerability Regarding (Healthcare) Robotics Message-ID: [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] One PhD and one Postdoc/Researcher Fellowship in Reducing Vulnerability Regarding (Healthcare) Robotics The goal of the fellowships is to develop knowledge about and technology for reducing vulnerabilities regarding robotics. The focus will be on privacy, security and safety, particularly in healthcare contexts. The fellowships are a part of the Research Council of Norway funded project Vulnerability in the Robot Society (VIROS, 2019-2023) see https://www.jus.uio.no/ifp/english/research/projects/nrccl/viros/index.html ). The project is a cross-disciplinary collaboration between the Department of Private Law and Department of Informatics at the University of Oslo and some other departments and partners. Its aims at developing technology and proposals for regulatory measures to reduce vulnerabilities regarding robotics. The PhD fellowship will be for a period of three years (possibly with an option for extension of the employment period by one year depending background and qualifications for additional duty work which typically includes work on courses). The Postdoc/Researcher fellowship will be for a period of four years. We have several international collaborators and having a stay of up to 6 months with one of these could be possible for both fellowships. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Qualifications: Applicants must have a MSc (for the PhD fellowship) or a PhD degree (for the Postdoc/researcher fellowship) or other corresponding education equivalent to a Norwegian MSc/doctoral degree in computer science including robotics and machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming, robotics and machine learning/artificial intelligence. Moreover, knowledge in the fields of motion tracking and analysis, sensor data analysis, biology-inspired techniques, rapid prototyping, simulation, and behavior modeling would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): PhD: NOK 449 400 ? 497 400 per year, approx.: ?45,800 ? 50,700 / $51,600 ? 57,100 Postdoc: NOK 515 200 ? 597 400 per year, approx.: ?52,500 ? 61,000 / $59,200 ? 68,700 Announcement: https://www.jus.uio.no/ifp/english/research/projects/nrccl/viros/news/vacant-positions-at-department-of-informatics.html Closing date for applications: 1st September, 2019 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.Nowotny at sussex.ac.uk Thu Aug 22 15:53:03 2019 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Thu, 22 Aug 2019 19:53:03 +0000 Subject: Connectionists: 3 year Research Fellow in Bio-Inspired Artificial Intelligence and Robotics at the University of Sussex Message-ID: <8C6C670F-6362-4903-9771-3AFEC40F62A3@sussex.ac.uk> Dear Connectionists, Research Fellow in Bio-Inspired Artificial Intelligence and Robotics at the University of Sussex Are you a talented and ambitious computer scientist, computational neuroscientist or machine learner? Are you looking for an opportunity to use cutting edge technology to gain new understanding of how small-brained insects learn so rapidly and robustly, and in turn develop novel active AI algorithms that are inspired by these insights? We have an opportunity for a Research Fellow to join the Brains on Board team at the Department of Informatics at the University of Sussex to join a collaboration with the University of Sheffield and world-leading neuroscientists in Australia through the EPSRC-funded ActiveAI project: active learning and selective attention for rapid, robust and efficient AI. You will develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information. This will be achieved through extended visits to Australia, in which you will interact with biologists and shape novel insect experiments that in turn will inspire computational and robotic models and novel algorithms. In this way, we will both advance neuroscience and enable ActiveAI solutions which will be efficient in final network configuration, robust to real-world conditions and learn rapidly. This project includes significant scope for you to creatively shape and drive the project to your interests and to organise the timing and length of your visits to Australia. You will work under the supervision of Professors Andrew Philippides, Thomas Nowotny and Paul Graham at Sussex as well as the wider Brains on Board team and, together with a partner research fellow at Sheffield University, you will lead a new collaboration with world-leading Australian research partners through extended secondments. Closing date: midnight UK BST, 23 September 2019. For full details see: https://www.sussex.ac.uk/about/jobs/rf-artifical-intellience-robotics-2091 -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Fri Aug 23 00:57:04 2019 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Fri, 23 Aug 2019 04:57:04 +0000 Subject: Connectionists: Two Postdoc Fellowships in Machine Learning for Mental Health Care Technology, University of Oslo, Norway Message-ID: <62086336-6D28-4FB5-807F-1635B55F110C@ifi.uio.no> [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] Two Postdoc Fellowship in Machine Learning for Mental Health Care Technology (2 years each) in Department of Informatics, University of Oslo, Norway The goal of the Postdoc projects is toother on-body sensors that are relevant for capturing and classifying human behavior. This is with the goal of providing the user with the right interventions at the right time. It is a part of the Research Council of Norway funded project INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT, see www.intromat.no). The project ? led by Haukeland University Hospital, aims at developing technology that can analyse the user's voice, movement and other properties, and use that for modeling and predicting how these changes with the mental condition. Smartphone and wearables are relevant for data collection, and the system should provide the user with appropriate support and follow up schemes. The fellowships will be for a period of two years. The candidate will collaborate with a number of national partners in the project. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Qualifications: Applicants must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in computer science including machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and machine learning/artificial intelligence. Moreover, knowledge in the fields of human behaviour tracking and analysis, sensor data analysis, biology-inspired techniques, behavior modeling, and app development would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): Postdoc: NOK 515 2000 ? 597 400 per year, approx.: ?52,500 ? 61,000 / $59,200 ? 68,700 Full announcement: https://www.jobbnorge.no/en/available-jobs/job/173580/postdoctoral-research-fellow-in-machine-learning-for-mental-health-care-technology Closing date for applications: 1st September, 2019 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From compco2019 at ikw.uos.de Fri Aug 23 08:50:28 2019 From: compco2019 at ikw.uos.de (Computational Cognition 2019) Date: Fri, 23 Aug 2019 14:50:28 +0200 Subject: Connectionists: =?utf-8?q?Reminder=3A_Registration_still_open_for?= =?utf-8?q?_COMCO_2019=2C_1-2_October_2019=2C_Osnabr=C3=BCck?= In-Reply-To: References: Message-ID: Dear all, This is a reminder about an upcoming scientific event in Osnabr?ck. The registration, and so the call for participation and contributions is still open. As a clarification, although this is not necessary for attending the event, we encourage participants to submit a 1-page (A4 format) abstract for presenting their research projects at the poster session and/or to give a 20 minute contributed talk among our invited speakers. *Computational Cognition 2019 Workshop* 1-2 October 2019, Osnabr?ck, Germany comco2019.com *COMCO 2019* brings together experts studying the mind from a computational point of view to better understand human and machine intelligence. Thus, if you are interested in the following or related fields, this event is for you: - Cognitive Science - Artificial Intelligence - Deep Learning - Neuroscience - Linguistics Invited and confirmed speakers: - *Karl Friston*, University College London - *Roger Levy*, Massachusets Institute of Technology - *Colin Phillips*, University of Maryland - *Will Monroe*, Standford University and Duolingo - *Tim Kietzmann*, University of Cambridge and Donders Institute for Brain, Cognition and Behaviour - *Terrence Stewart*, University of Waterloo - *Dieuwke Hupkes*, University of Amsterdam We are looking forward to meeting you at the workshop! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - *Organized by the ComCo-2019 Team:* Britta Grusdt Marc Vidal De Palol Chris Lukanov team at comco2019.com Institute of Cognitive Science, *University of Osnabr?ck* comco2019.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sun Aug 25 00:05:58 2019 From: suashdeb at gmail.com (Suash Deb) Date: Sun, 25 Aug 2019 09:35:58 +0530 Subject: Connectionists: 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2020) @ Bhutan Message-ID: Dear esteemed colleagues, I would like to invite you to submit a paper to the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2020). The Conference is organized by the India International Congress on Computational Intelligence (IICCI ) (www.iicci.in) and will be held in Thimphu, Kingdom of Bhutan during March 21-22, 2020. The main objective of ISMSI 2020 is to present the latest research and results of scientists related to Intelligent Systems, Metaheuristics & Swarm Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields. The conference is technically sponsored by EU/ME, the Euro Working Group on Metaheuristics. Accepted Papers after registration and presentation at ISMSI 2020 will be published in the International Conference Proceedings (lCPS, ACM), which will be indexed by Ei Compendex, Scopus, and submitted to be reviewed by Thomson Reuters (ISI Web of Science). *The European Journal of Operational Research*, an Elsevier Publication [SCIE indexed, 2017 Impact Factor : 3.428, 5 Year Impact Factor : 3.960 ], will consider for publication a few selected expanded papers of lSMSl20 in its usual reviewing process. Please find further information about the conference at http://www.ismsi.org/ A leaflet of the same is attached too for your sharing the same with your peers & motivating them for submission & possible participation. Hope to meet many of you in exotic Bhutan next year. Thanks & best regards, Suash Deb General Chair, lSMSl20 & Secretary General, llCCl -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: leaflet-ISMSI20.pdf Type: application/pdf Size: 260526 bytes Desc: not available URL: From george at cs.ucy.ac.cy Fri Aug 23 07:23:31 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 23 Aug 2019 14:23:31 +0300 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): Last Call for Papers In-Reply-To: <5CD6FA4B-8551-4BC3-89F4-2A8025067860@cs.ucy.ac.cy> References: <5CD6FA4B-8551-4BC3-89F4-2A8025067860@cs.ucy.ac.cy> Message-ID: <78F1E621-D56F-44B8-888D-A099B4DD6C8C@cs.ucy.ac.cy> *** Last Call for Papers *** 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020) Atlantica Miramare 4* Beach Hotel, Limassol, Cyprus January 20-24, 2020 http://cyprusconferences.org/sofsem2020/ *** Submission Deadline (abstract first): August 26, 2019 (AoE) *** (Proceedings to be published by Springer. Springer will sponsor the Best Paper Award with ?1000) INVITED SPEAKERS ? Mikolaj Bojanczyk, Poland ? Ernesto Damiani, UAE ? Erol Gelenbe, UK ? Gunnar Klau, Germany ? Elias Koutsoupias, UK SOFSEM (SOFtware SEMinar) is an annual international winter conference devoted to the theory and practice of computer science. The first SOFSEM was organized in 1974. SOFSEM consists of invited talks by prominent researchers, of contributed talks selected from the submitted papers, and of the Student Research Forum. The program is organized in plenary talks and parallel tracks devoted to original research in the selected research areas. SOFSEM has a long-standing tradition of facilitating discussions and collegial interactions. It is well-known for its familiar and inspiring atmosphere and as a meeting place for active and leading computer scientists. SOFSEM is a track-based conference. It features the traditional track on foundations of computer science and a number of other tracks that cover contemporary important areas, such as artificial intelligence, cryptography, security, verification, data science, knowledge engineering, social computing and human factors, software and web engineering, etc. The Track Chairs are soliciting technical papers for presentation at the conference and inclusion in the proceedings published by Springer in the ARCoSS/LNCS series. The topics of the conference are organised in four tracks and the (non exhaustive) list of topics for each track is as follows: Foundations of Computer Science ? Algorithms and data structures ? Automata and formal languages ? Complexity theory ? Computability theory ? Cryptography and security ? Graphs and networks ? Machine learning ? Non-classical models of computing ? Theory of databases, semi-structured data, and finite model theory ? Theory of programming languages Foundations of Software Engineering ? Methods and tools for improved software processes ? Software architecture of complex software-intensive systems ? Requirements Engineering ? Model-based software engineering methods and tools ? Data-driven improvement of methods, models, and tools ? Methods and tools for software engineering applications ? Empirical Software Engineering Foundations of Data Science ? Data Models and Query Languages ? Data Integration and Interoperability ? Query Processing and Optimization ? Distributed, Parallel, and P2P Data Processing and Management ? Data Semantics and Linked Data ? Spatial, Temporal, Multimedia Data ? Web- and Graph-based Data ? Probabilistic and Uncertain Data ? Information Extraction and Retrieval ? Data Privacy, Security, and Trust Foundations of Algorithmic Computational Biology ? Alignment and assembly of sequences ? Biological networks ? Cancer genomics ? Comparative genomics ? Gene expression ? Phylogenetics ? Sequence analysis ? System biology PAPER SUBMISSION Detailed guidelines for submission are available on the conference web site (https://cyprusconferences.org/sofsem2020/). Papers must be submitted electronically via Easychair in standard Springer format (max 12 pages, including references, etc.). The submision link is: https://easychair.org/my/conference?conf=sofsem2020 . Submitted papers will undergo a peer review process. PROCEEDINGS The proceedings will be published by Springer in the ARCoSS/LNCS series. IMPORTANT DATES ? August 26th, 2019 (AoE - Anywhere on Earth): Submission of abstracts ? September 2nd, 2019 (AoE): Submission of full papers ? October 14th, 2019: Notification of acceptance/rejection ? October 28th, 2019: Camera ready papers & author registration ? November 25th: Early (non author) registration ? January 20th - 24th, 2020: Conference dates ORGANISATION General Chairs ? Yannis Manolopoulos, Open University of Cyprus, Cyprus ? George A. Papadopoulos, University of Cyprus, Cyprus Steering Committee ? Barbara Catania, University of Genova, Italy ? Miroslaw Kutylowski, Wroclaw Uni. of Technology, Poland ? Jan van Leeuwen, Utrecht University, Utrecht, Netherlands ? Tiziana Margaria-Steffen, University of Limerick, Ireland ? Branislav Rovan, Comenius University, Bratislava, Slovakia ? Petr Saloun, Technical University of Ostrava, Czech Republic ? Julius Stuller, Academy of Sciences, Prague, Czech Republic, chair Tracks and Track Chairs ? Foundations of Computer Science: Christos Kapoutsis, Qatar ? Foundations of Data Science: Herodotos Herodotou, Cyprus ? Foundations of Software Engineering, Alexander Chatzigeorgiou, Greece ? Foundations of Algorithmic Computational Biology, Riccardo Dondi, Italy and Florian Sikora, France Student Research Forum Chair ? Theodoros Tzouramanis, Greece Webadmin ? Kyriakos Georgiades, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Fri Aug 23 06:43:44 2019 From: timofte.radu at gmail.com (Radu Timofte) Date: Fri, 23 Aug 2019 12:43:44 +0200 Subject: Connectionists: [Last CFP] ICCV 2019 Advances in Image Manipulation workshop and challenges Message-ID: Apologies for cross-posting ******************************* LAST CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 9 CHALLENGES AIM: 1st Advances in Image Manipulation workshop and challenges on bokeh effect simulation, RAW to RGB mapping, demoireing, real world super-resolution, constrained SR, extreme SR, quality mapping, video temporal SR In conjunction with ICCV 2019, November 2, Seoul, Korea. Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS - Image-to-image translation - Video-to-video translation - Image/video manipulation - Perceptual manipulation - Image/video generation and hallucination - Image/video quality assessment - Image/video semantic segmentation - Perceptual enhancement - Multimodal translation - Depth estimation - Image/video inpainting - Image/video deblurring - Image/video denoising - Image/video upsampling and super-resolution - Image/video filtering - Image/video de-hazing, de-raining, de-snowing, etc. - Demosaicing - Image/video compression - Removal of artifacts, shadows, glare and reflections, etc. - Image/video enhancement: brightening, color adjustment, sharpening, etc. - Style transfer - Hyperspectral imaging - Underwater imaging - Aerial and satellite imaging - Methods robust to changing weather conditions / adverse outdoor conditions - Image/video manipulation on mobile devices - Image/video restoration and enhancement on mobile devices - Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in ICCV style. http://iccv2019.thecvf.com/submission/main_conference/author_guidelines The review process is double blind. Accepted and presented papers will be published after the conference in the ICCV 2019 Workshops Proceedings. Author Kit: http://iccv2019.thecvf.com/files/iccv2019AuthorKit.zip Submission site: https://cmt3.research.microsoft.com/AIMW2019 WORKSHOP DATES ? *Regular Papers Submission Deadline: August 11, 2019* ? Challenge Papers Submission Deadline: September 20, 2019 IMAGE CHALLENGES (*ongoing!*) 1. *Bokeh effect, *Tracks: (1) Fidelity, (2) Perceptual 2. *RAW-to-RGB Mapping*, Tracks: (1) Fidelity, (2) Perceptual 3. *Real World Super-Resolution*, Tracks: (1) Same Domain, (2) Target Domain 4. *Demoireing*, Tracks: (1) Fidelity, (2) Perceptual 5. *Constrained Super-Resolution*, Tracks: (1) Parameters, (2) Inference, (3) Fidelity 6. *Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual VIDEO CHALLENGES (*ongoing!*) 1. *Video Temporal Super-Resolution* 2. *Video Quality Mapping*, Tracks: (1) Supervised, (2) Unsupervised 3. *Video Extreme Super-Resolution*, Tracks: (1) Fidelity, (2) Perceptual To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the AIM webpage: http://www.vision.ee.ethz.ch/aim19/ CHALLENGES DATES ? Release of train data: July 15, 2019 ? *Competitions end: September 9, 2019 *(*extended!*) ORGANIZERS ? Radu Timofte, ETH Zurich, Switzerland ? Shuhang Gu, ETH Zurich, Switzerland ? Ming-Hsuan Yang, University of California at Merced, US / Google AI ? Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland ? Kyoung Mu Lee, Seoul National University, Korea ? Eli Shechtman, Adobe Research ? Ming-Yu Liu, NVIDIA Research ? Zhiwu Huang, ETH Zurich, Switzerland ? Seungjun Nah, Seoul National University, Korea ? Richard Zhang, Adobe Research ? Andrey Ignatov, ETH Zurich, Switzerland ? Gregory Slabaugh, Huawei, UK ? Kai Zhang, ETH Zurich, Switzerland ? Martin Danelljan, ETH Zurich, Switzerland Website: http://www.vision.ee.ethz.ch/aim19/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sun Aug 25 06:46:24 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sun, 25 Aug 2019 13:46:24 +0300 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): Second Call for Papers In-Reply-To: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> Message-ID: <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> *** Second Call for Papers *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Abstract submission deadline: January 20, 2020 Paper submission deadline: January 27, 2020 (AoE) (Proceedings to be published by Springer) SCOPE AND TOPICS RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2020 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned the special theme of Information Science in the Days of Artificial Intelligence. We understand AI in a broad sense, including machine learning, self-adaptation, logic-based reasoning, automation, agents and multiagent systems, natural language processing, etc. RCIS welcomes submissions from the whole spectrum of the information science field. The list of themes and topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ? ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale Tutorials, Doctoral Consortium, Posters & Demos will complement the main conference. RCIS STEERING COMMITTEE Sa?d Assar; Marco Bajec; Pericles Loucopoulos; Haralambos Moratidis; Selmin Nurcan; Oscar Pastor; Jolita Ralyt?; Colette Rolland. SUBMISSION PROCESS Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2020. Papers should be in English and must be associated to one of the following categories: Technical solution papers (max 16 pages Springer) present solutions that are novel or significantly improve existing approaches. A technical solution paper must include a preliminary validation of the proposed solution, and results must be stated clearly enough so that it is possible to validate them in follow-up research. Evaluation papers (max 16 pages Springer) evaluate existing problem situations or validate proposed solutions through scientific means, i.e., by empirical studies, experiments, case studies, simulations, mathematical proofs, etc. The research method must be sound and appropriate. Industrial practice and experience papers (max 16 pages Springer) thoroughly present problems or challenges encountered in practice, elaborate on success or failure with existing approaches, or report on industrial practice (e.g., methods and tools). A paper in this category shall provide a clear context, detail the problem or the industrial practice, and explain the lessons learned. Work in progress papers (max 8 pages Springer) present relevant preliminary results across the spectrum of information science. These papers can either present a novel technical solution, or report on a preliminary evaluation of a technique. Please note that the maximum length of the paper includes references, appendices, etc. The submission site is https://www.easychair.org/conferences/?conf=rcis2020 . By submitting a paper, the authors agree that at least one of them will register to the conference and present the paper. The appearance of a paper in the Springer proceedings is dependent on the registration of one author within the early registration deadline on March 31, 2020. IMPORTANT DATES ? Regular paper submission deadline: January 27, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at ens.fr Sun Aug 25 09:11:10 2019 From: boris.gutkin at ens.fr (boris gutkin) Date: Sun, 25 Aug 2019 15:11:10 +0200 Subject: Connectionists: =?utf-8?q?CCCP19_Symposium_=C2=AB=C2=A0Cognition?= =?utf-8?q?=2C_Computation=2C_neuroeConomics_and_Performance=C2=A0=C2=BB__?= =?utf-8?q?Sept_23-24_Higher_School_of_Economics=2C_Moscow_Russia?= Message-ID: CCCP19 Symposium ? Cognition, Computation, neuroeConomics and Performance ? 23 - 24 Septembre 2019 Centre for Cognition & Decision Making Institute for Cognitive Neuroscience Higher School of Economics. Myasnitskaya ul. 20 23.09.2019: room 102 24.09.2019: room 513 Organising committee: Vasilisa Skvortsova (ENS); Boris Gutkin (HSE/ENS), Anna Shestakova (HSE), Vasily Klucharev(HSE). We are pleased to announce the 2019 edition of the CCCP conferences/symposia focusing this year on neuroeconomics. The symposium is organized in a collaboration between the Center for Cognition and Decision Making (CCDM), Higher School of Economics and the Laboratory for Cognitive and Computational Neuroscience (LNC2) at the Institute for Cognitive Neuroscience, central campus of HSE. Those interested to attend can contact aghambaryan at hse.ru Program: 23/09 ??20/102 Plenary talks Students presentations 10:00 -10:45 Valentin Wyart, ENS Paris Human learning and decision-making under uncertainty: computational models, neural mechanisms, psychiatric dysfunctions 10:45 -11:30 Vasily Klucharev, HSE Moscow Neurodynamics and Cognitive Dissonance 11:30 -12:00 Coffee break 12:00 -12:45 Ksenia Panidi, HSE Moscow Distinct roles of DLPFC and PPC in reward value and reward probability 12:45 -13:05 Oxana Zinchenko, HSE Neural correlates of prosocial motivation and self-maximization 13:10 ? 13:30 Mario Martinez Saito, HSE Neural Underpinnings of Exploitation of Common Goods 13:30 ? 13:50 Andrew Kislov, HSE Neuroforcasting of consumer choice 14:00 ? 15:30 Lunch 15:30 ? 16:30 Visiting CCDM/IoCN HSE 24/09 ??20/513 10:00 -10:45 Stefano Palminteri, ENS Paris The construction and deconstruction of irrational preferences through range-adapting reinforcement learning 10:45 -11:30 Anna Shestakova, HSE Moscow Neural plasticity in the auditory sensory cortex elicited by monetary outcomes 11:30 -12:00 Coffee break 12:00 -12:45 Vasilisa Skvortsova, ENS Paris Computational noise in reward-guided learning drives behavioral variability in volatile environments 12:45 ? 13:30 Charles Findling, ENS Paris Soft introduction to MCMC/SMC/particle filtering methods in modelling human behavior: from exact to noisy inference computations. 13:30 ? 13:50 Anush Ghambaryan, HSE Neurocomputational model of human choices in uncertain and changing environments 13:50 ? 14:10 Alexei Gorin, HSE Neural plasticity in the auditory sensory cortex elicited by monetary losses 14:10 ? 15:30 Lunch Abstracts Valentin Wyart Inserm, Ecole Normale Sup?rieure, PSL University, Paris, France Human learning and decision-making under uncertainty: computational models, neural mechanisms, psychiatric dysfunctions Efficient learning and decision-making in uncertain environments constitutes a difficult challenge for human and machine intelligence. Even for simplest, binary decisions, it requires to infer properties of one?s environment on the basis of imperfect evidence. Such inference process has been studied across a wide range of vastly different paradigms, from categorizing ambiguous stimuli (perceptual decisions) to choosing among stochastic reward sources (reward-guided decisions). In this talk, I will present the research framework developed in my group for characterizing the similarities and differences between perceptual and reward-guided decisions ? something which had previously proven difficult for both theoretical and experimental reasons. First, I will show how the accuracy of perceptual and reward-guided decisions is bounded not by sensory variability nor by choice stochasticity, but by the limited precision of inference. Neuroimaging, pupillometric and causal pharmacological evidence suggest an important, yet previously unsuspected role for the noradrenergic system in inference precision. Then, I will explain how perceptual and reward-guided decisions diverge not only in their input, but also in the degree of control conferred to decision-makers in the sampling of uncertain environments. To illustrate the neurobiological relevance of this difference, I will show that interacting with uncertain environments (a distinctive feature of reward-guided decisions) stabilizes inference by shaping relational codes in the medial temporal lobe. I will end my talk by stressing the fragility of inference in psychiatric diseases: the emergence of circular reasoning in ketamine models of psychosis, and the impaired learning from conflicting action outcomes in obsessive-compulsive disorder. Stefano Palminteri Inserm, Ecole Normale Sup?rieure, PSL University, Paris, France The construction and deconstruction of irrational preferences through range-adapting reinforcement learning Wealth of evidence in behavioral economics and affective neuroscience suggests that option values are highly dependent of the context in which the options are presented. Building on an analogy with perceptual psychophysics and neuroscience, option valuation seems to be affected by both the spatial (i.e., what is the value of the simultaneously presented options?) and temporal (i.e., which options were presented in the recent past?) contexts. In a series of recent papers, we demonstrated that contextual adjustments also occur in reinforcement learning. However, the exact algorithmic implementation of context-dependence and how this process is affected by modulating feedback information, still remains unclear. To fill these gaps, we implemented 4 new variants of an instrumental learning task where we orthogonally manipulated outcome magnitude and feedback information, resulting in systematic variations in reward ranges. In a first phase of the task (learning test), participants had to determine by trial-and-error the most favorable option (in terms of received points) in 4 fixed pairs of options. In a second phase (transfer test), the original pairs were remodeled to investigate the choice preference between options extrapolated from their original context. We ran 5 experiments (one in the laboratory: N=40; and four online N=400). In all experiments, subjects learn above chance level. Of note, lab results were qualitatively well replicated in the corresponding online experiment. We replicate results found in previous studies indicating partial range adaptation in the learning test and context-induced suboptimal preferences in the transfer test. We found that increasing feedback information (by showing both the obtained and the forgone outcome: complete feedback) in the learning test increases the context-induced suboptimal preferences, as measured at the first trial of the transfer test, compared to the partial feedback case (showing the obtained outcome only). Further analysis of trial-by-trial dynamics during the transfer test showed that, while complete feedback redresses suboptimal preferences, partial feedback does the opposite. In complement to choice rate analysis, we developed a computational model that implements normalization by tracking the range of each decision context and adapting the perceived reward accordingly. Model simulations show that this model best explains subjects? behavior, capturing both the partial adaptation during the learning test and the context-induced suboptimal preferences in the transfer test. Model comparison indicates that the new RANGE model performs better compared to a simple Q-learning model and a previously proposed descriptive model, featuring normalization as a weighted average of absolute and relative outcomes. Finally, we analyzed the payoff of the two models and found that subjects would have been better off (financially speaking) if they behaved as Q-learners (instead of Range model). To conclude, we provide definitive evidence of context-dependent reinforcement learning in humans and concomitantly propose a more satisfactory computational model to explain these processes. Between-task comparison indicates that increasing feedback information has somehow counter-intuitive results, since it decreases optimization in the transfer test. Strikingly, we demonstrate a clear instance of irrational economic behavioral arising from too much (instead of not enough) computations. Vasily Klucharev, Professor, Director, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation Neurodynamics and Cognitive Dissonance Although cognitive dissonance was first suggested more than half a century ago, this phenomenon has only recently moved into the field of neuroscience. Here, we report the results of series of studies that further explored the neural mechanisms of cognitive dissonance. We extended this area of research by introducing a number of novel approaches to it: firstly, we explored the neural foundation of cognitive dissonance during the decisional stage of the free-choice paradigm, whereas other studies focused on the post-decisional stages (Izuma et al 2010, Mengarelli 2015).We integrated evidences from resting states cortical activity and evoked potentials, thus framing the cognitive dissonance phenomenon within the performance monitoring mechanisms, and finally, we employed non-invasive brain modulatory techniques such as the transcranial Direct Current Stimulation (tDCS) to modulate the pMFC and thus demonstrate the early role of this area in generation and reduction of cognitive dissonance. Taken together, our results support out initial hypothesis that cognitive dissonance shares similar neural structures and dynamics underpinning performance monitoring mechanisms. This activity is reflected in both resting-state and choice-related neural activation of the prefrontal cortex as a part of the general performance-monitoring circuitry, as well as we demonstrated the causal role of pMFC in CD generation and following behavioral adjustment. Ksenia Panidi Assistant Professor, Department of Economics ? National Research University Higher School of Economics Distinct roles of DLPFC and PPC in reward value and reward probability Recent economic theories of choice under risk postulate that the observed risk-taking behavior in monetary domain may be a result of the value of money (i.e. how much a person values one additional dollar, or decreasing marginal utility of money) as well as specific perception of probabilities (i.e. probability weighting). However, existing neuroeconomic studies of risk taking usually focus on the analysis of the degree of the observed risk taking per se without disentangling its individual components. Recent neuroeconomic research suggests that dorso-lateral prefrontal cortex (DLPFC) and posterior parietal cortex (PPC) may both play a role in risky decision-making. In two separate experiments, we employ transcranial magnetic stimulation to explore the effects of decreased DLPFC and PPC excitability on distinct components of risky choice. We employed a within-subject design with cTBS stimulation and Random lottery pair design to parametrically estimate components of risk preferences. The results suggest that DLPFC and PPC may play distinct roles in reward value and reward probability perception. In particular, we observe that decrease in the DLPFC excitability leads to a decrease in the coefficient of risk aversion (increased marginal utility of money), while no change in probability perception is observed. At the same time, decrease in PPC excitability leads to more linear (less distorted) probability weighting, while it has no effect on reward value. Anna Shestakova PhD, researcher, ?entre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation Neural plasticity in the auditory sensory cortex elicited by monetary outcomes Traditional decision-making theory assumes that individuals? choices are driven by values associated with prospective outcomes. Interestingly, popular neurobiological models of decision-making acknowledge the key role of learning in reward-based decisions but indirectly assume that the primary sensory inputs to dopaminergic (decision-making) networks are stationary and independent from previous decisions. However, many cognitive studies have demonstrated experience-induced plasticity in the primary sensory cortices. This suggests that repeated decisions could modulate sensory processing, which, in return, can modulate follow-up decisions. In series of studies, we tested the hypothesis that repeated associations of a stimulus with a monetary outcome may evoke plasticity in the sensory processing. Furthermore, we tested the link between the neural activity underlying value-based learning and plastic changes in the sensory cortices. The plasticity of auditory processing is often reflected in the mismatch negativity (MMN) component of auditory ERPs. The MMN is an electrophysiological signature of a pre-attentive process that detects alterations in a regular sound sequence. Recent evidence suggests that in addition to deviance detection, MMN can also be implicated to predictive coding mechanism. To study sensory plasticity, we presented incentive cues as deviants during oddball sessions recorded before and after training in the two MID task sessions. For gains we found that after a two-day training in the MID task, regardless of their magnitude and probability, incentive cues evoked a larger P3a, indicating the enhancement of involuntary attention to stimuli that predict rewards. At the individual level, the training-induced change of mismatch-related negativity was correlated with the amplitude of the feedback-related negativity (FRN) recorded during the first MID task session. No expected value (EV)-related changes of MMN was revealed. For losses, we found that two sessions of the MID task evoked the significant enhancement of the MMN for incentive cues predicting larger monetary losses, specifically, when monetary cue discrimination was essential for maximizing monetary outcomes. Our results suggest that the MID task evokes plastic changes in the auditory system associated with better passive discrimination of incentive cues and with enhanced involuntary attention switching towards the cues. Moreover, the task-induced sensory plasticity correlated with the learning-related neural activity recorded during the MID task. Our results confirm that the sensory processing of incentive cues is dynamically modulated by the previous monetary outcomes and this modulation is reward-specific. Next logical step would be to use active neuroimaging such as brain stimulation in order to prove causal relationship between the medial prefrontal function mediating performance monitoring function as signaled by the FRN and sensory memory indexed by MMN. Charles Findling, post-doctoral fellow, Ecole Normale Sup?rieure, PSL University, Paris, France Soft introduction to MCMC/SMC/particle filtering methods in modelling human behavior: from exact to noisy inference computations. In this tutorial, I will give you the intuitions behind the statistical methods such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC) methods which are now gaining attention in neuroscientific and psychological community. First, these techniques give access to the estimates of marginal likelihoods of your models which are valuable when dealing with model comparisons. Second, they allow to model behavioral quantities such as precision/learning noise in the inference process of subjects and to explore its properties. Vasilisa Skvortsova, post-doctoral fellow, Ecole Normale Sup?rieure, PSL University, Paris, France Computational noise in reward-guided learning drives behavioral variability in volatile environments When learning the value of actions in volatile environments, humans often make seemingly irrational decisions which fail to maximize expected value. Prominent theories describe these ?non-greedy? decisions as the result of a compromise between choosing a currently well-valued action vs. exploring more uncertain, possibly better-valued actions ? known as the ?exploration-exploitation? trade-off. However, we have recently shown that the accuracy of human decisions based on multiple ambiguous cues is bounded not by variability in the choice process, but rather by computational noise arising from the underlying inference process. We thus reasoned that non-greedy decisions may be caused to some extent by the same kind of noise, in this case variability in the learning of action values. We derived a theoretical formulation of reinforcement learning (RL) which allows for random noise in its core computations. In a series of behavioral, functional neuroimaging and pupillometric experiments, tested over a total of 90 human participants in a canonical restless bandit task, we quantified the fraction of non-greedy decisions driven by learning noise and identified its neurophysiological substrates. At the behavioral level, we show that more than half of non-greedy decisions are triggered by learning noise. By describing the consistency of human decisions across repetitions of the same sequence of rewards in terms of a ?bias-variance? trade-off, we rule out the possibility that learning noise is due to a misspecification of our RL framework. At the neurophysiological level, the trial-to-trial variability of sequential learning steps and their impact on behavior could be predicted both by BOLD responses in the dorsal anterior cingulate cortex (dACC) and by phasic pupillary dilation ? suggestive of neuromodulatory fluctuations driven by the locus coeruleus-norepinephrine (LC-NE) system. Together, these findings indicate that most of the behavioral variability observed in volatile environments is due to the limited computational precision of reward guided learning. Mario Martinez Saito, PhD student, ?entre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation Neural Underpinnings of Exploitation of Common Goods Why do people often exhaust unregulated common natural resources but successfully sustain similar private resources? To answer this question the present work combines a neurobiological, economic, and cognitive modeling approach. Using functional magnetic resonance imaging we showed that sharp depletion of a common (shared) and a private resource deactivated the ventral striatum, that is involved in the valuation of outcomes. Across individuals the observed inhibition of the ventral striatum negatively correlated with attempts to preserve the common resource, but the opposite pattern was observed when individuals dealt with their private resource. The results indicate that the basic neural value signals differentially modulate people's behavior in response to the depletion of common versus private resources. The computational modeling of the results suggests that the overharvesting of common resources is facilitated by social comparison. Overall, the results could explain some aspects of people?s tendency to overexploit unregulated common natural resources. Anush Ghambaryan PhD student, ?entre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation Neurocomputational model of human choices in uncertain and changing environments Behavioral economics approach suggests that for deriving choices in value-based decision-making humans integrate computational components (utilities and reward probabilities) according to expected utility theory (Von Neumann & Morgenstern, 1947), but make computations based on distorted representation of computational components. This explains systematic deviation of human choices from optimality (Kahneman & Tversky, 1979) but may conclude models that are not indicative of underlying neurocomputational mechanisms. An alternative neuroeconomics view (model MIX) was recently proposed by Rouault, Drugowitsch, and Koechlin (2019). The developed model MIX suggests that the decision variable (log-odds of two options) varies as the addition of the difference between normalized utilities (derived through reinforcement learning and value updates) and the difference between state beliefs (derived through multi-stage reward probability updates) of two options controlled by a weighting parameter responsible for variations in the level of reliance on state beliefs rather than on normalized utilities. The experimental task used in the study is a one-armed bandit task, where each bandit proposes varying rewards with uncertain probability. The experiment was designed such that participants could learn rewarding probabilities over trials but had to adjust as rewarding probabilities were changing throughout the experiment. Normalization of utilities in the model is not tested experimentally. We have replicated the original study in low and high reward parity conditions and estimated MIX model parameters for those conditions separately. The parameter weighing normalized utilities and state beliefs was not different in two conditions. But risky choice frequencies differed in two conditions significantly. Here risky choice frequency is the percentage of choosing options with relatively high normalized reinforcement learning value in trials, where such options are characterized by relatively low state belief. The obtained result suggests that the newly developed model MIX fits human choices equally well in both experimental conditions, but none of its parameters, on average, indicate differences in risky choices arising from the difference in the absolute level of proposed rewards. Oksana Zinchenko, PhD student, ?entre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation Neural correlates of prosocial motivation and self-maximization Many neuroeconomics studies have suggested that social norms play a crucial role in economic decision-making (Fehr and Fischbacher, 2004; Melis and Semmann, 2010). Previous neuroimaging studies have suggested that activity in the dorsolateral prefrontal cortex (DLPFC) during the dictator game, and other games, is associated with the control of selfish impulses (Wout et al., 2005; Knoch et al., 2006; Knoch and Fehr, 2007; Knoch et al., 2009) and the ability to strategically adapt behavior (Spitzer et al., 2007; Ruff et al., 2013). Knoch et al. (2006) showed that inhibitory repetitive transcranial magnetic stimulation (rTMS) of the rDLPFC led to a stronger maximization of the budget in the ultimatum game. On the other hand, inhibitory rTMS of the rDLPFC led to more generous behavior in the dictator game (Christov-Moore et al., 2017). The present study aims to address inconsistencies in the findings regarding rDLPFC involvement in control of particular motivations during decision-making. We hypothesized (Hypothesis I) that inhibitory cTBS of the rDLPFC could increase voluntary transfers in both the (a) dictator and (b) generosity games. Alternatively (alternative Hypothesis II) inhibitory cTBS of the rDLPFC will liberate selfish motives and, consequently, (a) decrease voluntary transfers in the dictator game, while (b) not affecting voluntary transfers in the generosity game, in which the dictator?s budget is fixed. Our preliminary data partially support Hypothesis II, suggesting that the DLPFC plays a crucial role in controlling selfish motives and strategic social behavior. Alexey Gorin PhD student, ?entre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation Neural plasticity in the auditory sensory cortex elicited by monetary losses Many studies demonstrated the remarkable experience-induced plasticity in the sensory cortices. Here we investigated whether the widely-used ?monetary incentive delay (MID) task? changes the neural processing of incentive cues that code expected monetary outcomes. We used a novel auditory version of the MID task, where subjects responded to acoustic cues that coded expected monetary losses. To investigate task-induced sensory plasticity, we presented incentive cues as deviants during oddball tasks recorded before and after two sessions of the MID task. During oddball task, we recorded the mismatch-related negativity (MMN) as an index of central auditory system plasticity. We found that two sessions of the MID task evoked the significant enhancement of the MMN for incentive cues predicting large monetary losses, specifically, when monetary cue discrimination was essential for maximizing monetary outcomes. Interestingly, the task-induced sensory plasticity correlated with the learning-related neural activity recorded during the MID task. Thus, our results confirm that the sensory processing of (loss) incentive cues is dynamically modulated by the previous monetary outcomes. Andrew Kislov, PhD student, ?entre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation Neuroforcasting of consumer choice While a handful of human brain imaging studies showed that neural activity reliably predicts a broad range of individual choices, including purchasing (Knutson et al., 2007; Levy et al., 2011) only recently, fMRI studies have proved that neural activity of a small group of participants can forecast aggregate market-level behavior (Falk et al., 2011; Berns and Moore, 2012; Genevsky and Knutson, 2015; 2017). To seek for further evidence in favor of neuroforcasting of consumer behavior in a real restaurant chain, we measured BOLD signal of thirty participants in the fMRI experiment, were they were exposed to photos of meals from the real menu of the restaurant. In addition, self-reported preferences were collected. fMRI data was extracted from a preference-related brain regions: the ventral striatum, amygdala, hippocampus, prefrontal cortex, cingulate cortex and insula. We analyzed valuation neural signal encoding preferences for different meals. Our further step would be to test whether BOLD signal would correlate with total (real) one-year sales measured by the restaurant chain. -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Mon Aug 26 03:04:52 2019 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Mon, 26 Aug 2019 07:04:52 +0000 Subject: Connectionists: Doreen Thomas Postdoctoral Fellowships for Women In-Reply-To: <57D96ACC-F2AC-4317-8F7E-C92B2D739B61@unimelb.edu.au> References: <57D96ACC-F2AC-4317-8F7E-C92B2D739B61@unimelb.edu.au> Message-ID: The Melbourne School of Engineering has introduced the Doreen Thomas Postdoctoral Fellowships to attract, or to retain, outstanding female doctoral graduates and provide a career pathway to a global Teaching and Research academic career at the University of Melbourne. We are currently looking for accomplished, enthusiastic, and interested early-career female doctoral graduates for multiple fellowships within the three schools of MSE: * Computing and Information Systems * Chemical and Biomedical Engineering * Electrical, Mechanical and Infrastructure Engineering More details can be found here: LinkedIn Seek University of Melbourne Careers Applications close Sunday 13 October 2019. About Doreen Thomas ?Professor Emeritus Doreen Thomas is a leading academic whose work has spanned the fields of mathematics and electrical and mechanical engineering. Her career at the University of Melbourne has lasted over 40 years and practical applications of her research have had significant commercial impact. Doreen is a powerful advocate for women in engineering and mathematics. She chairs the Science, Technology, Engineering and Mathematics (STEM) Education Forum at the Australian Academy of Technological Sciences and Engineering. While at the University of Melbourne?s School of Engineering, she helped create nine research fellowships to launch and accelerate the careers of female academics. In 2006, she was appointed the University of Melbourne?s first female professor in engineering. She was the first woman at the university to become head of each of the departments she led, and the first woman in Victoria to become head of two different university departments. Doreen?s long and distinguished career has been inspirational for other women in mathematics and science. She has made significant contributions to knowledge with real-world impact, promoted the next generation of women in STEM disciplines, and taught mathematics to generations of engineering students.? ? Vic.gov.au Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin -------------- next part -------------- An HTML attachment was scrubbed... URL: From ariel.9arcia at gmail.com Mon Aug 26 14:21:52 2019 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Mon, 26 Aug 2019 19:21:52 +0100 Subject: Connectionists: CFP: Neural Networks journal special issue on GANs In-Reply-To: <8ca49cde-515c-4fab-88a2-f0fe86d60cbd@googlegroups.com> References: <8ca49cde-515c-4fab-88a2-f0fe86d60cbd@googlegroups.com> Message-ID: *TL;DR ? CFP*: Neural Networks journal special issue on GANs *GUEST EDITORS*: Ariel Ruiz-Garcia, J?rgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo Mandic *SUBMISSION DEADLINE*: 30th September 2019 ---------------------------------- *CALL FOR PAPERS*: Neural Networks Journal *Special Issue on Deep Neural Network Representation and Generative Adversarial Learning* Generative Adversarial Networks (GANs) have proven to be efficient systems for data generation. Their success is achieved by exploiting a minimax learning concept, which has proved to be an effective paradigm in earlier works, such as predictability minimization, in which two networks compete with each other during the learning process. One of the main advantages of GANs over other deep learning methods is their ability to generate new data from noise, as well as their ability to virtually imitate any data distribution. However, generating realistic data using GANs remains a challenge, particularly when specific features are required; for example, constraining the latent aggregate distribution space does not guarantee that the generator will produce an image with a specific attribute. On the other hand, new advancements in deep representation learning (RL) can help improve the learning process in Generative Adversarial Learning (GAL). For instance, RL can help address issues such as dataset bias and network co-adaptation, and identify a set of features that are best suited for a given task. Despite their obvious advantages and their application to a wide range of domains, GANs have yet to overcome several challenges. They often fail to converge and are very sensitive to parameter and hyper-parameter initialization. Simultaneous learning of a generator and a discriminator network often results in overfitting. Moreover, the generator model is prone to mode collapse, which results in failure to generate data with several variations. Accordingly, new theoretical methods in deep RL and GAL are required to improve the learning process and generalization performance of GANs, as well as to yield new insights into how GANs learn data distributions. This special issue on Deep Neural Network Representation and Generative Adversarial Learning invites researchers and practitioners to present novel contributions addressing theoretical and practical aspects of deep representation and generative adversarial learning. The special issue will feature a collection of high quality theoretical articles for improving the learning process and the generalization of generative neural networks. State-of-the-art applications based on deep generative adversarial networks are also very welcome. Topics of interest for this special issue include, but are not limited to: Representation learning methods and theory; Adversarial representation learning for domain adaptation; Network interpretability in adversarial learning; Adversarial feature learning; RL and GAL for data augmentation and class imbalance; New GAN models and new GAN learning criteria; RL and GAL in classification; Adversarial reinforcement learning; GANs for noise reduction; Recurrent GAN models; GANs for imitation learning; GANs for image segmentation and image completion; GANs for image super-resolution; GANs for speech and audio processing GANs for object detection; GANs for Internet of Things; RL and GANs for image and video synthesis; RL and GANs for speech and audio synthesis; RL and GANs for text to audio or text to image synthesis; RL and GANs for inpainting and sketch to image; RL and GAL in neural machine translation; RL and GANs in other application domains. *Important Dates:* 30 September 2019 ? Submission deadline 31 December 2019 ? First decision notification 28 February 2020 ? Revised version deadline 30 April 2020 ? Final decision notification July 2020 ? Publication *Guest Editors:* Dr Ariel Ruiz-Garcia Coventry University, UK Email: ariel.9arcia at gmail.com Professor J?rgen Schmidhuber NNAISENSE, Swiss AI Lab IDSIA, USI & SUPSI, Switzerland Email: juergen at idsia.ch Dr Vasile Palade Coventry University, UK Email: vasile.palade at coventry.ac.uk Dr Clive Cheong Took Royal Holloway (University of London), UK Email: Clive.CheongTook at rhul.ac.uk Professor Danilo Mandic Imperial College London, UK Email: d.mandic at imperial.ac.uk *Submission Procedure:* Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at http://ees.elsevier.com/neunet/. Authors should select ?VSI:RL and GANs? when they reach the ?Article Type? step and the "Request Editor" step in the submission process. For any questions related to the special issue please email Dr Ariel Ruiz-Garcia (ariel.9arcia at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpulina at uniss.it Mon Aug 26 08:56:35 2019 From: lpulina at uniss.it (Luca Pulina) Date: Mon, 26 Aug 2019 14:56:35 +0200 Subject: Connectionists: AIIA 2019 Doctoral Consortium Message-ID: Students are invited to apply for admission to the Doctoral Consortium to be held at the the AIIA 2019 conference which will take place in Rende, from the 19th to the 22nd of November 2019. Submission Deadline: September 15th, 2019 The AIIA 2019 Doctoral Consortium provides an opportunity for Ph.D. students to explore and develop their research interests in the Artificial Intelligence field, in the broader sense, under the guidance of a panel of distinguished researchers from both academia and industry. Attending students will have the opportunity to present their work in a dedicated workshop and to share their work with other students in a similar situation and with senior researchers during a dedicated workshop. During the entire conference every student will be paired with a senior mentor (selected from the DC program committee) who will dedicate some time for interacting with the student. AIIA Doctoral Consortium main objectives are the following: ???????? Provide a supportive setting for feedback on students' current research and guidance on future research directions. ???????? Offer each student comments and fresh perspectives on their own work from faculty and students outside their own institution, taking advantage of mentorship opportunities. ???????? Promote the development of a supportive community of scholars and a spirit of collaborative research. ???????? Contribute to the conference goals through interaction with other researchers and conference events. We accept contributions from students regularly enrolled in some Ph.D. program. Exceptions might include students not yet enrolled in a Ph.D. program, but that are strongly motivated to enroll in the near future. Every contribution should be in the form of up to 5 pages extended abstracts including references, in Springer LNCS format. In line with the main research track of the conference, the AIIA 2019 Doctoral Consortium welcomes submissions on research across all areas of AI, including (but not limited to) traditional topics such as machine learning, search, planning, knowledge representation, reasoning, constraint satisfaction, natural language processing, robotics and perception, and multiagent systems. Students with accepted extended abstracts are invited to give an oral presentation of their work during the Doctoral Consortium, and to prepare a poster to be displayed during the poster sessions of the main conference. The authors of the accepted extended abstracts are requested to attend the Doctoral Consortium and to register to the main conference. Poster should include student's contacts in order to allow any interested person to fix an appointment with the student and discuss her/his work during the conference. Extended abstract submission, format and publication Prepare an up to five-pages extended abstract describing your current or future research work (or on some specific issue) in the LNCS Proceedings Format. You should be the only author of the extended abstract and you should mention your advisor. We allow two types of contributions: ?????? Overview of the Ph.D. work, which should include: Introduction/Motivation, State of the Art, Problem Statement and Contributions, Research Methodology and Approach, Preliminary or Intermediate Results, Evaluation Plan, Conclusions (recommended for students in an early stage of the Ph.D.) ?????? Presentation of one specific scientific achievement you have reached during the Ph.D. course. The contribution could have been already published in some other venue. Extended abstracts will be evaluated by at least 2 members of the Doctoral Consortium Committee. The main evaluation criteria include originality of the work, scientific quality, validity of claims and clarity. The DC Committee will assign a Best Ph.D. Paper award to the best contribution, by evaluating the subject described in the extended abstract, the quality of the presentation and poster. Accepted extended abstracts will be possibly published on CEUR WS Proceedings upon request. Extended abstract will be handled through Easychair at ? https://easychair.org/conferences/?conf=aiia2019 Important Dates Paper submission: September 15th, 2018 Notification: October 5th, 2018 Camera-ready extended abstracts due: November 5th, 2018 Doctoral Consortium: TBD (between 19th-22nd November 2018) Doctoral Consortium Chair Marco Maratea, University of Genova Programme Committee TBD -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From tt at cs.dal.ca Mon Aug 26 20:43:03 2019 From: tt at cs.dal.ca (Thomas Trappenberg) Date: Mon, 26 Aug 2019 21:43:03 -0300 Subject: Connectionists: Canada Research Chair (CRC) Tier 2 in Artificial Intelligence for Health Message-ID: Dear Colleagues, We have an opening for a position as Canada Research Chair (CRC). Please see details below. Regards, Thomas Trappenberg Professor Faculty of Computer Science Dalhousie University Halifax, NS, Canada *Tier 2 Canada Research Chair in Artificial Intelligence for Health* Dalhousie?s Faculty of Computer Science invites applications for a probationary tenure-stream position as a Canada Research Chair (CRC) Tier 2 in Artificial Intelligence for Health at the level of Assistant Professor with an anticipated start date of July 1, 2020. The successful candidate will show exceptional promise in the application of techniques such as machine learning and Bayesian network approaches to problems in health and health care. Applicants must have a PhD in Computer Science or other relevant discipline; be, or have the potential to become, an internationally recognized leader in their field; and complement existing research strengths and strategic directions of the Faculty. The candidate will be expected to lead new interdisciplinary research projects in partnership with researchers in other Faculties such as Medicine and Health. Possible research areas are broad, examples of which might include genetics and geneenvironment interaction, imaging and other clinical diagnostics, environmental and social determinants of health, health records, or the organization and deployment of health resources. This position is one of three in the Collaborative Health Solutions (CHS) cluster, a joint initiative among the health-related faculties at Dalhousie. CHS researchers will form part of the health-research ecosystem in Nova Scotia, which encompasses academic researchers; health-care providers, managers, and policymakers; industry; health-data resources; and large initiatives such as the provincial Integrated Health Research and Innovation Strategy (IHRIS; https://nsihris.wordpress.com/). Applicants should have demonstrated potential to establish independent scholarly research. The successful candidate will teach both undergraduate and graduate courses, develop graduate-level courses, and support strategic initiatives. The applicant will be expected to establish a strong externally funded research program, supervise graduate student research, and foster existing and new collaborations with governments, the health-care system, industry, and other members of Dalhousie?s research community. Dalhousie recognizes that career paths can be diverse and that career interruptions may occur. Applicants are encouraged to include, in their cover letter, an explanation of the impact that any career interruptions may have had on their record of research achievement. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. In keeping with the principles of employment equity and the CRC program?s equity targets, this position is restricted to candidates who self-identify in one or more of the following groups: women, racially visible persons, Indigenous people, persons with a disability, or persons of minority sexual orientations or gender identities. (See www.dal.ca/becounted/selfid for definitions of these groups.) Canada Research Chairs in the Faculty of Computer Science are allocated financial support including enhanced start-up funds and support for graduate students, significant reduction in teaching commitments, and administrative support at the Faculty level in the preparation of grant applications. The successful applicant will have the opportunity to access unique data resources, including genetics, imaging, clinical databases and registries, longitudinal cohorts, and electronic health records. The Faculty of Computer Science is a research-intensive faculty within Dalhousie, with 40 faculty members, including Tier 1 and Tier 2 CRCs, and over 1400 students, one-third of whom are graduatestudents at the master?s or doctoral level. The Faculty offers bachelor?s degree programs as well as research-intensive Master?s and PhD programs, and partners with other Faculties to offer Master?s programs in Electronic Commerce, Health Informatics, and Computational Biology and Bioinformatics. The Big Data Analytics & Machine Learning research cluster is the largest in the Faculty, and FCS is home to the Institute for Big Data Analytics, which carries out fundamental and applied research in areas including health, medicine, and oceans. Dalhousie University is located in Halifax, Nova Scotia ( http://www.halifaxinfo.com), which is the largest city in Atlantic Canada and affords its residents a high quality of life. Dalhousie University is a member of the U15 research-intensive universities in Canada. This CRC position is aligned with two of Dalhousie?s Strategic Research Priorities, ?Health People, Healthy Communities, Healthy Populations? and ?Big Data? ( https://www.dal.ca/research/SignatureResearchClusters.html). The CRC program was established by the Canadian Federal Government with the purpose of attracting outstanding researchers to the Canadian university system. Tier 2 Chairs are intended for exceptional emerging scholars (i.e. the candidate must have been an active researcher in their field for fewer than 10 years at the time of nomination). Applicants who are more than 10 years from their highest degree (and where career breaks exist, including maternity leave, extended sick leave, etc.) may have their eligibility for a CRC Tier 2 assessed through the program?s Tier 2 justification process. Please contact the research grants office and see the CRC website ( www.chairs.gc.ca) for more information on eligibility. Dalhousie University recognizes its obligation to accommodate candidates in order to ensure full, fair, and equitable participation in the hiring process. Our complete Accommodation Policy can be viewed online at: www.dal.ca/policies. Applicants can contact Anne Publicover (annep at cs.dal.ca) if they have requests for accommodations (e.g. for candidates with hearing impairments, mobility impairments, etc.) Applications must include an application letter, curriculum vitae, a statement of research and teaching interests, sample publications, and letters of reference from two referees. A complete application must also include a separate completed Self-Identification Questionnaire, which is available at http://www.dal.ca/becounted/selfid. Review of applications will commence Monday, October 28, 2019. Submission address for application documents and reference letters: appointments at cs.dal.ca. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Virus-free. www.avast.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From ariel.9arcia at gmail.com Mon Aug 26 14:22:37 2019 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Mon, 26 Aug 2019 19:22:37 +0100 Subject: Connectionists: CFP: IEEE TNNLS Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health In-Reply-To: References: Message-ID: *Last Call for Papers: * IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (*IF 11.683*) *Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health* *IMPORTANT DATES * 30 September 2019 ? Deadline for manuscript submission 31 December 2019 ? Reviewer?s comments to authors 28 February 2020 ? Submission of revised papers 30 April 2020 ? Final decision of acceptance May-June 2020 ? Tentative publication date * AIMS AND SCOPE: * Deep neural networks (DNNs) are one of the most efficient learning systems. However, determining how to best learn a set of data representations that are ideal for a given task remains a challenge. Representation and Transfer Learning (RTL) can facilitate the learning of complex data representations by improving the generalization performance of DNNs, and by taking advantage of features learned by a model in a source domain, and adapting the model to a new domain. Nonetheless, contemporary theory in RTL is unable to deal with issues, such as: the inherent trade-off between retaining too much information from the input and learning universal features; limited data or changes in the joint distribution of the input features and output labels in the target domain; dataset bias, among others. Therefore, new theoretical mechanisms and algorithms are required to improve the performance and learning process of DNNs. Smart and Connected Health (SCH), an emerging and complex domain, can benefit from new advancements in RTL. For instance, RTL can overcome the limitations imposed by the lack of labelled data in SCH by (i) training a model to learn universal data representations on larger corpora in a different domain, and then adapting the model for use in a SCH context, or (ii) by using RTL in conjunction with generative neural networks to generate new healthcare-related data. Nonetheless, the use of RTL in designing SCH applications requires overcoming problems such as rejection of unrelated information, dataset bias or neural network co-adaptation. This special issue invites novel contributions addressing theoretical aspects of representation and transfer learning and theoretical work aimed to improve the generalization performance of deep models, as well as new theory attempting to explain and interpret both concepts. State-of-the-art works on applying RTL for developing smart and connected health intelligent systems are also welcomed. Topics of interest for this special issue include but are not limited to: *Theoretical Methods: * ? Distributed representation learning; ? Transfer learning; ? Invariant feature learning; ? Domain adaptation; ? Neural network interpretability theory; ? Deep neural networks; ? Deep reinforcement learning; ? Imitation learning; ? Continuous domain adaptation learning; ? Optimization and learning algorithms for DNNs; ? Zero and one-shot learning; ? Domain invariant learning; ? RTL in generative and adversarial learning; ? Multi-task learning and Ensemble learning; ? New learning criteria and evaluation metrics in RTL; *Application Areas: * ? Health monitoring; ? Health diagnosis and interpretation; ? Early health detection and prediction; ? Virtual patient monitoring; ? RTL in medicine; ? Biomedical information processing; ? Affect recognition and mining; ? Health and affective data synthesis; ? RTL for virtual reality in healthcare; ? Physiological information processing; ? Affective human-machine interaction; *GUEST EDITORS * Vasile Palade, Coventry University, UK Stefan Wermter, University of Hamburg, Germany Ariel Ruiz-Garcia, Coventry University, UK Antonio de Padua Braga, University of Minas Gerais, Brazil Clive Cheong Took, Royal Holloway (University of London), UK *SUBMISSION INSTRUCTIONS * 1. Read the Information for Authors at https://cis.ieee.org/publications/t-neural-networks-and-learning-systems. 2. Submit your manuscript at the TNNLS webpage ( http://mc.manuscriptcentral.com/tnnls) and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript is submitted to this special issue. Send an email to the guest editor Vasile Palade (vasile.palade at coventry.ac.uk) with subject ?TNNLS special issue submission? to notify about your submission. 3. Early submissions are welcomed. We will start the review process as soon as we receive your contributions. For any other questions please contact Ariel Ruiz-Garcia ( ariel.9arcia at gmail.com ). -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Aug 27 07:25:33 2019 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 27 Aug 2019 11:25:33 +0000 Subject: Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2020 (Submission deadline: September 15, 2019) Message-ID: *ACM Symposium on Applied Computing * The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic March 30 ? April 3, 2020 https://www.sigapp.org/sac/sac2020/ *Data Streams Track * https://www.cs.waikato.ac.nz/~abifet/SAC2020/ *Call for Papers * The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. *TOPICS OF INTEREST * We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to: * Real-Time Analytics * Big Data Mining * Data Stream Models * Large Scale Machine Learning * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian Networks from Data Streams * Neural Networks for Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining * Urban Computing, Smart Cities * Internet of Things (IoT) *IMPORTANT DATES (strict) * 1. Paper Submission: September 15, 2019 2. Author Notification: November 10, 2019 3. Camera?ready copies: November 25, 2019 *PAPER SUBMISSION GUIDELINES * Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: http://www.acm.org/sigs/pubs/proceed/template.html Important notice: 1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. If you encounter any problems with your submission, please contact the Program Coordinator. Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From hocine.cherifi at u-bourgogne.fr Tue Aug 27 08:59:31 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Tue, 27 Aug 2019 14:59:31 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 Deadline September, 03 2019 Message-ID: *CFP COMPLEX NETWORKS 2019 Lisbon Dec 10-12,2019* *Apologies for any cross posting* *Eighth** Int. Conference on Complex Networks & Their Applications* *Lisbon, Portugal Dec. 10- 12, 2019* http://www.complexnetworks.org *Speakers :* ? Lada Adamic Facebook, USA ? Reka Albert Penn State, USA ? Ulrik Brandes ETH Zurich, Switzerland ? Jari Saram?ki Aalto University, Finland ? Stefan Thurner Medical University of Vienna, Austria ? Michalis Vazirgiannis Ecole Polytechnique, France *Tutorials:* December 09, 2019 ? Diego Saez-Trumper Wikimedia Foundation ? Maria Angeles Serrano University of Barcelona, Spain Submission deadline: September 03, 2019. *Full papers *and *Extended Abstracts* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions of accepted contributions will be invited for publication in *special issues of :* o Applied Network Science edited by Springer o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o Social Network Analysis and Mining edited by Springer - PLOS one *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao (University of Chicago, USA) *Join us at *: COMPLEX NETWORKS 2019, Lisbon, Portugal *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From jessicathompson00 at gmail.com Tue Aug 27 13:23:58 2019 From: jessicathompson00 at gmail.com (Jessica Thompson) Date: Tue, 27 Aug 2019 13:23:58 -0400 Subject: Connectionists: =?utf-8?q?CFP_NeurIPS2019_AI=E2=86=94Neuro_Worksh?= =?utf-8?q?op=3A_Real_Neurons_=26_Hidden_Units?= Message-ID: Call for Papers: NeurIPS2019 Workshop Real Neurons & Hidden Units: Future directions at the intersection of neuroscience and artificial intelligence Workshop website: https://sites.google.com/mila.quebec/neuroaiworkshop Submission deadline: September 6, 2019 Contact: neuroaiworkshop at gmail.com We invite contributions at the intersection of neuroscience and AI. In particular, we encourage work that identifies novel questions about the brain, which are informed by the recent successes of AI, and that establish key brain mechanisms that hold promise for further advancement of AI. Topical areas include but are not limited to: - study of recurrent dynamics, - inductive biases to guide learning, - global versus local learning rules, - interpretability of network activity, - connectivity structure. A strict requirement for admission is that the topic must be at the intersection of AI and Neuroscience, in that the work must leverage findings from one field to advance the other or address important questions common to both. Submissions must be within four pages. Accepted contributions will be invited to present posters. A select number will be also invited to present short talks. Invited speakers: Ila Fiete (Massachusetts Institute of Technology) Surya Ganguli (Stanford University) Tim Lillicrap (DeepMind/University College London) Doina Precup (McGill University/DeepMind) Blake Richards (McGill University) Cristina Savin (New York University) David Sussillo (Google Brain/Stanford University) Please see the workshop website for further details. We look forward to receiving your submission! On behalf of the organizers, Guillaume Lajoie (UdeM/Mila) Eli Shlizerman (UW) Maximilian Puelma Touzel (UdeM/Mila) Konrad Kording (UPenn) Jessica Thompson (UdeM/Mila) and Advisors, Adrienne Fairhall (UW) Yoshua Bengio (UdeM/Mila) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitri.ognibene at gmail.com Tue Aug 27 12:26:40 2019 From: dimitri.ognibene at gmail.com (Dimitri Ognibene) Date: Tue, 27 Aug 2019 18:26:40 +0200 Subject: Connectionists: [Job][Postdoc]: 4yrs senior researcher position and Phd scholarship on Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation) References: Message-ID: <5E11ECF1-376A-438B-91E8-1F33359F0290@gmail.com> ** Apologies for cross-postings ** Dear Colleagues, I would be very grateful if you could forward this job advert to anybody who could be interested. The highlight is on machine learning for user interaction modelling. Here are some information for the positions. ** Application deadline 1st of September** To apply https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=773982KP3K&WVID=9918109NEm&LANG=USA https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-modelling A PhD scholarship on the same topics is also out with deadline on the 30th of August Check http://sites.google.com/site/dimitriognibenehomepage/ jobs Kind regards, Dimitri *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project ?COURAGE: A Social Media Companion Safeguarding and Educating Students?. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user beliefs dynamics modelling aspect and the process of analysing visual and textual content. More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art CV, NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=773982KP3K&WVID=9918109NEm&LANG=USA For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 Applicants are encouraged to contact?Dr. Dimitri Ognibene (dimitri.ognibene at essex.ac.uk ) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.vanRossum at nottingham.ac.uk Wed Aug 28 05:16:32 2019 From: Mark.vanRossum at nottingham.ac.uk (Mark van Rossum) Date: Wed, 28 Aug 2019 10:16:32 +0100 Subject: Connectionists: Academic Fellowship positions Computational Neuroscience, Nottingham Message-ID: <892000f5-9431-edfc-9126-a78b95ec978c@nottingham.ac.uk> Academic Fellowship positions Computational Neuroscience, Nottingham (extended deadline) The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and Imaging. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for two independent fellowships. The positions are for 3 years, after which the fellows are expected to be competitive candidates for permanent positions at the University. The positions are ideal for researchers with some postdoctoral experience and a strong vision who are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. These positions were advertised earlier. After a number of requests for a later deadline, the application process is now briefly opened again until Sept 3rd. For the online application form see http://jobs.nottingham.ac.uk/SCI215819 Please include a research proposal in your application. For informal inquiries contact Mark van Rossum, mark.vanrossum at nottingham.ac.uk, +44-115-7486851 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. From Mark.Humphries at nottingham.ac.uk Wed Aug 28 10:39:13 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Wed, 28 Aug 2019 14:39:13 +0000 Subject: Connectionists: Postdoc in population dynamics of movement - closing Sept 5th In-Reply-To: References: Message-ID: A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question by developing new computational algorithms for dynamic systems, and applying them to newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries? group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries at nottingham.ac.uk Deadline: 5th September Full details, and to apply: https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2 [http://jobs.nottingham.ac.uk/org/images/socialmedia.png] Job Vacancy at the University of Nottingham: Research Associate/Fellow (Fixed term) Applications are invited for a postdoctoral research fellow to join the Humphries? group on the MRC-funded project ?Uncovering the neural basis of movement transitions?. The Humphries? group researches fundamental... jobs.nottingham.ac.uk Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Wed Aug 28 13:26:44 2019 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 28 Aug 2019 19:26:44 +0200 (CEST) Subject: Connectionists: Post-doc position: Pattern mining for Neural Networks debugging: application to speech recognition (INRIA, France) Message-ID: <1899888542.35218778.1567013204642.JavaMail.zimbra@loria.fr> Post-doc position: Pattern mining for Neural Networks debugging: application to speech recognition Advisors : Elisa Fromont & Alexandre Termier, IRISA/INRIA RBA ? Lacodam team (Rennes) Irina Illina & Emmanuel Vincent, LORIA/INRIA ? Multispeech team (Nancy) firstname.lastname at inria.fr Location : INRIA RBA, team Lacodam (Rennes) Keywords: discriminative pattern mining , neural networks analysis, explainability of black box models, speech recognition. Deadline to apply : September 30th, 2019 Context: Understanding the inner working of deep neural networks (DNN) has attracted a lot of attention in the past years [1, 2] and most problems were detected and analyzed using visualization techniques [3, 4]. Those techniques help to understand what an individual neuron or a layer of neurons are computing. We would like to go beyond this by focusing on groups of neurons which are commonly highly activated when a network is making wrong predictions on a set of examples. In the same line as [1], where the authors theoretically link how a training example affects the predictions for a test example using the so called ?influence functions?, we would like to design a tool to ?debug? neural networks by identifying, using symbolic data mining methods, (connected) parts of the neural network architecture associated with erroneous or uncertain outputs. In the context of speech recognition, this is especially important. A speech recognition system contains two main parts: an acoustic model and a language model. Nowadays models are trained with deep neural networks-based algorithms (DNN) and use very large learning corpora to train an important number of DNN hyperparameters. There are many works to automatically tune these hyperparameters. However, this induces a huge computational cost, and does not empower the human designers. It would be much more efficient to provide human designers with understandable clues about the reasons for the bad performance of the system, in order to benefit from their creativity to quickly reach more promising regions of the hyperparameter search space. Description of the position: This position is funded in the context of the HyAIAI ?Hybrid Approaches for Interpretable AI? INRIA project lab ( [ https://www.inria.fr/en/research/researchteams/inria-project-labs | https://www.inria.fr/en/research/researchteams/inria-project-labs ] ). With this position, we would like to go beyond the current common visualization techniques that help to understand what an individual neuron or a layer of neurons is computing, by focusing on groups of neurons that are commonly highly activated when a network is making wrong predictions on a set of examples. Tools such as activation maximization [8] can be used to identify such neurons. We propose to use discriminative pattern mining , and, to begin with, the DiffNorm algorithm [6] in conjunction with the LCM one [7] to identify the discriminative activation patterns among the identified neurons. The data will be provided by the MULTISPEECH team and will consist of two deep architectures as representatives of acoustic and language models [9, 10]. Furthermore, the training data will be provided, where the model parameters ultimately derive from. We will also extend our results by performing experiments with supervised and unsupervised learning to compare the features learned by these networks and to perform qualitative comparisons of the solutions learned by various deep architectures. Identifying ?faulty? groups of neurons could lead to the decomposition of the DL network into ?blocks? encompassing several layers. ?Faulty? blocks may be the first to be modified in the search for a better design. The recruited person will benefit from the expertise of the LACODAM team in pattern mining and deep learning ( [ https://team.inria.fr/lacodam/ | https://team.inria.fr/lacodam/ ] ) and of the expertise of the MULTISPEECH team ( [ https://team.inria.fr/multispeech/ | https://team.inria.fr/multispeech/ ] ) in speech analysis, language processing and deep learning. We would ideally like to recruit a 1 year (with possibly one additional year) post-doc with the following preferred skills: ? Some knowledge (interest) about speech recognition ? Knowledgeable in pattern mining (discriminative pattern mining is a plus) ? Knowledgeable in machine learning in general and deep learning particular ? Good programming skills in Python (for Keras and/or Tensor Flow) ? Very good English (understanding and writing) See the INRIA web site for the post-doc page. The candidates should send a CV, 2 names of referees and a cover letter to the four researchers ( firstname.lastname at inria.fr ) mentioned above. Please indicate if you are applying for the post-doc or the PhD position. The selected candidates will be interviewed in September for an expected start in October-November 2019. Bibliography: [1] Pang Wei Koh, Percy Liang: Understanding Black-box Predictions via Influence Functions. ICML 2017: pp 1885-1894 (best paper). [2] Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals: Understanding deep learning requires rethinking generalization. ICLR 2017. [3] Anh Mai Nguyen, Jason Yosinski, Jeff Clune: Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR 2015: pp 427-436. [4] Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus: Intriguing properties of neural networks. ICLR 2014. [5] Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi: Deep Text Classification Can be Fooled. IJCAI 2018: pp 4208-4215. [6] Kailash Budhathoki and Jilles Vreeken. The difference and the norm?characterising similarities and differences between databases. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 206?223. Springer, 2015. [7] Takeaki Uno, Tatsuya Asai, Yuzo Uchida, and Hiroki Arimura. Lcm: An efficient algorithm for enumerating frequent closed item sets. In Fimi, volume 90. Citeseer, 2003. -- Irina Illina Associate Professor Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Wed Aug 28 13:26:44 2019 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 28 Aug 2019 19:26:44 +0200 (CEST) Subject: Connectionists: Post-doc position: Pattern mining for Neural Networks debugging: application to speech recognition (INRIA, France) Message-ID: <1899888542.35218778.1567013204642.JavaMail.zimbra@loria.fr> Post-doc position: Pattern mining for Neural Networks debugging: application to speech recognition Advisors : Elisa Fromont & Alexandre Termier, IRISA/INRIA RBA ? Lacodam team (Rennes) Irina Illina & Emmanuel Vincent, LORIA/INRIA ? Multispeech team (Nancy) firstname.lastname at inria.fr Location : INRIA RBA, team Lacodam (Rennes) Keywords: discriminative pattern mining , neural networks analysis, explainability of black box models, speech recognition. Deadline to apply : September 30th, 2019 Context: Understanding the inner working of deep neural networks (DNN) has attracted a lot of attention in the past years [1, 2] and most problems were detected and analyzed using visualization techniques [3, 4]. Those techniques help to understand what an individual neuron or a layer of neurons are computing. We would like to go beyond this by focusing on groups of neurons which are commonly highly activated when a network is making wrong predictions on a set of examples. In the same line as [1], where the authors theoretically link how a training example affects the predictions for a test example using the so called ?influence functions?, we would like to design a tool to ?debug? neural networks by identifying, using symbolic data mining methods, (connected) parts of the neural network architecture associated with erroneous or uncertain outputs. In the context of speech recognition, this is especially important. A speech recognition system contains two main parts: an acoustic model and a language model. Nowadays models are trained with deep neural networks-based algorithms (DNN) and use very large learning corpora to train an important number of DNN hyperparameters. There are many works to automatically tune these hyperparameters. However, this induces a huge computational cost, and does not empower the human designers. It would be much more efficient to provide human designers with understandable clues about the reasons for the bad performance of the system, in order to benefit from their creativity to quickly reach more promising regions of the hyperparameter search space. Description of the position: This position is funded in the context of the HyAIAI ?Hybrid Approaches for Interpretable AI? INRIA project lab ( [ https://www.inria.fr/en/research/researchteams/inria-project-labs | https://www.inria.fr/en/research/researchteams/inria-project-labs ] ). With this position, we would like to go beyond the current common visualization techniques that help to understand what an individual neuron or a layer of neurons is computing, by focusing on groups of neurons that are commonly highly activated when a network is making wrong predictions on a set of examples. Tools such as activation maximization [8] can be used to identify such neurons. We propose to use discriminative pattern mining , and, to begin with, the DiffNorm algorithm [6] in conjunction with the LCM one [7] to identify the discriminative activation patterns among the identified neurons. The data will be provided by the MULTISPEECH team and will consist of two deep architectures as representatives of acoustic and language models [9, 10]. Furthermore, the training data will be provided, where the model parameters ultimately derive from. We will also extend our results by performing experiments with supervised and unsupervised learning to compare the features learned by these networks and to perform qualitative comparisons of the solutions learned by various deep architectures. Identifying ?faulty? groups of neurons could lead to the decomposition of the DL network into ?blocks? encompassing several layers. ?Faulty? blocks may be the first to be modified in the search for a better design. The recruited person will benefit from the expertise of the LACODAM team in pattern mining and deep learning ( [ https://team.inria.fr/lacodam/ | https://team.inria.fr/lacodam/ ] ) and of the expertise of the MULTISPEECH team ( [ https://team.inria.fr/multispeech/ | https://team.inria.fr/multispeech/ ] ) in speech analysis, language processing and deep learning. We would ideally like to recruit a 1 year (with possibly one additional year) post-doc with the following preferred skills: ? Some knowledge (interest) about speech recognition ? Knowledgeable in pattern mining (discriminative pattern mining is a plus) ? Knowledgeable in machine learning in general and deep learning particular ? Good programming skills in Python (for Keras and/or Tensor Flow) ? Very good English (understanding and writing) See the INRIA web site for the post-doc page. The candidates should send a CV, 2 names of referees and a cover letter to the four researchers ( firstname.lastname at inria.fr ) mentioned above. Please indicate if you are applying for the post-doc or the PhD position. The selected candidates will be interviewed in September for an expected start in October-November 2019. Bibliography: [1] Pang Wei Koh, Percy Liang: Understanding Black-box Predictions via Influence Functions. ICML 2017: pp 1885-1894 (best paper). [2] Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals: Understanding deep learning requires rethinking generalization. ICLR 2017. [3] Anh Mai Nguyen, Jason Yosinski, Jeff Clune: Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR 2015: pp 427-436. [4] Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus: Intriguing properties of neural networks. ICLR 2014. [5] Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi: Deep Text Classification Can be Fooled. IJCAI 2018: pp 4208-4215. [6] Kailash Budhathoki and Jilles Vreeken. The difference and the norm?characterising similarities and differences between databases. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 206?223. Springer, 2015. [7] Takeaki Uno, Tatsuya Asai, Yuzo Uchida, and Hiroki Arimura. Lcm: An efficient algorithm for enumerating frequent closed item sets. In Fimi, volume 90. Citeseer, 2003. -- Irina Illina Associate Professor Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at usp.br Wed Aug 28 17:25:23 2019 From: antonior at usp.br (Antonio Roque) Date: Wed, 28 Aug 2019 18:25:23 -0300 Subject: Connectionists: LASCON 2020 - VIII Latin American School on Computational Neuroscience (Call for applications) Message-ID: **** Apologies for cross-posting **** VIII Latin American School on Computational Neuroscience - LASCON 2020 January 6-31, 2020, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon LASCON Video APPLICATION DEADLINE: October 5, 2019 Dear Colleagues, Following the success of the previous editions of LASCON (Latin American School on Computational Neuroscience), I am pleased to announce the 8th LASCON, which will take place January 6-31, 2020 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: biophysically detailed single neuron models; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; spike train analysis; statistical methods in neuroscience; models of extracellular fields; modeling of brain stimulation; predictive coding; dynamics of neuronal functional connectivity; and computational psychiatry. These subjects will be illustrated with the use of programs NEURON, neuroConstruct, XPP-AUTO, Matlab, NEST, Brian and the Virtual Brain. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Antonio Galves,University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, Paris Descartes University, Paris, France Demian Battaglia, Aix-Marseille University, Marseille, France Eli Shlizerman, University of Washington, Seattle, WA, USA Emilio Kropf, Leloir Institute Foundation, Buenos Aires, Argentina Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Marcelo Reyes, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Mauricio Girardi-Schappo, University of Sao Paulo, Ribeirao Preto, SP, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Renan Shimoura, University of Sao Paulo, Ribeirao Preto, SP, Brazil Risto Ilmoniemi, Aalto University, Espoo, Finland Rodrigo Cofre, University of Valparaiso, Valparaiso, Chile Sacha van Albada, Juelich Research Center, Juelich, Germany Salvador Dur?-Bernal, State University of New York, New York, NY, USA Volker Steuber, University of Hertfordshire, Hatfield, UK William Lytton, State University of New York, New York, NY, USA The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon). Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 5, 2019 (until midnight, US Pacific time). There is no registration fee for the school. Costs for accommodation will be covered by the school organization. Travel costs have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2020 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/). I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887> -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.checco at sheffield.ac.uk Thu Aug 29 22:40:18 2019 From: a.checco at sheffield.ac.uk (Alessandro Checco) Date: Fri, 30 Aug 2019 03:40:18 +0100 Subject: Connectionists: CFA (Deadline Extended to September 15) BHCC 2019 - 1st Symposium on Biases in Human Computation and Crowdsourcing, Sheffield, UK, 21-22 October 2019 Message-ID: Overview ======== Human Computation and Crowdsourcing have become ubiquitous in the world of algorithm augmentation and data management. However, humans have various cognitive biases that influence the way they make decisions, remember information, and interact with machines. It is thus important to identify human biases and analyse their effect on complex hybrid systems. On the other hand, the potential interaction with a large pool of human contributors gives the opportunity to detect and handle biases in existing data and systems. The goal of this symposium is to analyse both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures and methods to track bias, as well as methodologies to prevent and solve bias. An interdisciplinary approach is often required to capture the broad effects that these processes have on systems and people, and at the same time to improve model interpretability and systems? fairness. 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. For more information, please visit the event website: https://sites.google.com/sheffield.ac.uk/bhcc2019. Submission Guidelines ================= We welcome ~250-word abstracts describing methodologies, studies or systems relevant to the topics of the workshop. Submissions are not anonymous. Non published work, vision statements, and work in progress are welcome. We are looking for contributions with interesting insights, which could lead to a productive discussion during the symposium. The main criteria of evaluation of the Programme Committee are scientific relevance, innovation level and research potential. Abstract should be submitted at https://easychair.org/conferences/?conf=bhcc2019. List of Topics =========== 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 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 - Generating benchmarks for bias management Committees ========== Program Committee - Alessandro Bozzon, University of Delft (Netherlands) - Alessandro Checco, University of Sheffield (UK) - Amrapali Zaveri, Institute of Data Science, Maastricht University (Netherlands) - Eddy Maddalena, University of Southampton (UK) - Jahna Otterbacher, Open University of Cyprus (Cyprus) - Jo Bates, University of Sheffield (UK) - Mengdie Zhuang, University of London (UK) - Ujwal Gadiraju, L3S Research Center, Hannover (Germany) Organizing committee - Alessandro Checco, University of Sheffield (UK) - Eddy Maddalena, University of Southampton (UK) Venue and Registration ================== Please visit the event website: https://sites.google.com/sheffield.ac.uk/bhcc2019. Keynote ======= Michael Rovatsos is Professor of AI at the University of Edinburgh, and Director of the Bayes Centre, the University?s innovation hub for Data Science and AI. He also represents the University at the Alan Turing Institute, the UK?s national institute for Data Science and AI. His research interests are in Artificial Intelligence with a specific focus on multiagent systems, i.e. systems where either artificial or human agents collaborate or compete with each other. His involvement in large interdisciplinary projects has led to a major shift of his research agenda toward ethical AI over the last five years, where he focuses on developing intelligent decision-making algorithms and platform architectures that support the moral values of their human stakeholders. Contacts ======== - All questions should be emailed to a.checco at sheffield.ac.uk. Sponsors ======== - FashionBrain https://fashionbrain-project.eu - Qrowd http://qrowd-project.eu Please contact us if you want to be a sponsor: you will be able to advertise your company/project with a booth during the two-day symposium, distribute flyers and appear on this website. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Thu Aug 29 17:19:03 2019 From: jkrichma at uci.edu (Jeff Krichmar) Date: Thu, 29 Aug 2019 14:19:03 -0700 Subject: Connectionists: Assistant Professor position available in Cognitive Sciences at the University of California, Irvine Message-ID: Dear Connectionists, The Department of Cognitive Sciences at the University of California, Irvine (UCI) invites applications for an assistant professor (tenure-track) position with an expected start date of July 1, 2020. We are seeking scientists who study learning, memory, decision making, and related topics with behavioral, developmental, computational, artificial intelligence, or neuroimaging methods. Of particular interest are cognitive scientists who combine an empirical research program with innovative quantitative analysis or computational modeling. The successful candidates will interact with a dynamic and growing community in cognitive, computational, and neural sciences within the department (http://www.cogsci.uci.edu/) and the broader campus. Interested candidates can find specific application requirements and the online application at: https://recruit.ap.uci.edu/JPF05668. To ensure full consideration, applications must be completed by December 1, 2019. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. As a recipient of an NSF ADVANCE award for gender equity, UCI understands the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education. As a Minority Serving Institution, UCI seeks future faculty who will contribute to our enduring commitment to inclusive excellence and serve as role models. 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 J.Verhoef at donders.ru.nl Fri Aug 30 07:31:21 2019 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Fri, 30 Aug 2019 11:31:21 +0000 Subject: Connectionists: Two Postdoctoral Researchers for the Language in Interaction Research Consortium Message-ID: <01bf51f2b2cf4538982198fdd08ab9ab@EXPRD05.hosting.ru.nl> Two Postdoctoral Researchers for the Language in Interaction Research Consortium * 40 hours per week * Maximum gross monthly salary: ? 4,978 * Dutch Research Consortium 'Language in Interaction' * Duration of the contract: 3 years * Application deadline: 22 September 2019 We are looking for We are looking for highly motivated candidates to enrich a unique Dutch consortium of researchers that aims to cross the boundaries of various disciplines to unravel the neurocognitive mechanisms of language and its interaction with other cognitive systems. This specific project aims to advance our understanding of the mechanisms of fast, flexible linguistic inference by leveraging recent major advances in our understanding of the representations and computations necessary for sequential model-based action planning. Currently, our consortium advertises two Postdoctoral Researcher positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. We ask Each position has its own requirements and profile. More information on: https://www.languageininteraction.nl/BQ5-2a.html General requirements for all positions are: * a degree in cognitive science, cognitive neuroscience, computational cognitive neuroscience, computer science, mathematics, mathematical psychology, formal linguistics, or a related field; * affinity with quantitative analyses; * strong motivation; * excellent proficiency in written and spoken English. Applications from excellent candidates with a less than ideal profile will also be considered. We are The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, 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 organization 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: Inference for language and action planning: Common computations? You will be appointed at the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands. Both successful candidates will become members of our Big Question 5 team. The research is conducted in an international setting. English is the lingua franca. Radboud University has seven faculties, which together cover the full range of academic disciplines. Its teaching and research staff hail from more than fifty countries. With several brand new buildings and state-of-the-art facilities, the leafy modern campus in Nijmegen provides an open and welcoming environment with a personal touch, encouraging the sharing of knowledge among academics, across disciplines, and within and between research institutes. Radboud University firmly believes that a broad perspective is essential for generating new insights and solutions in both science and society. We offer * Employment: 40 hours per week. * A maximum gross monthly salary of ? 4.978 based on a 38-hour working week (salary scale 11). * The exact salary depends on the candidate's qualifications and amount of relevant professional experience. The Collective Labour Agreement (CAO) of Dutch Universities is applicable to this positions. * In addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus. * Duration of the contract: you will be appointed for an initial period of 12 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 24 months. * Dutch Universities and the institute involved have regulations in place that enable their staff to create a good work-life balance. * You will be able to make use of our Dual Career Service: our Dual Career Officer will assist with family-related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. * Are you interested in our excellent employment conditions? The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like more information? Additional information can be obtained from the contacts for the different positions. Position 1: Dr. Andrea E. Martin, Dr. Ashley Lewis, and Dr. Saskia Haegens Position 2: Dr. Andrea E. Martin and Dr. Iris van Rooij Apply directly Please address your application to Dr Andrea Martin and submit it, via apply directly, no later than 22 September 2019, 23:59 Amsterdam Time Zone. Your application should include the following attachments: * A cover letter quoting at the top the number of the position you apply for. * Your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before September 22, 2019, 23:59 Amsterdam Time Zone For more information on your application: +31 24 3611173. No commercial propositions please. Julia Verhoef Secretary Language in Interaction consortium -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Fri Aug 30 05:19:24 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 30 Aug 2019 12:19:24 +0300 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): Last Mile for Paper Submission In-Reply-To: <78F1E621-D56F-44B8-888D-A099B4DD6C8C@cs.ucy.ac.cy> References: <5CD6FA4B-8551-4BC3-89F4-2A8025067860@cs.ucy.ac.cy> <78F1E621-D56F-44B8-888D-A099B4DD6C8C@cs.ucy.ac.cy> Message-ID: <4616571B-724B-4D37-8694-5AB798CF933C@cs.ucy.ac.cy> *** Last Mile for Paper Submission *** 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020) Atlantica Miramare 4* Beach Hotel, Limassol, Cyprus January 20-24, 2020 http://cyprusconferences.org/sofsem2020/ *** Submission Deadline (full paper): September 2, 2019 (AoE) *** (Proceedings to be published by Springer. Springer will sponsor the Best Paper Award with ?1000) INVITED SPEAKERS ? Mikolaj Bojanczyk, Poland ? Ernesto Damiani, UAE ? Erol Gelenbe, UK ? Gunnar Klau, Germany ? Elias Koutsoupias, UK SOFSEM (SOFtware SEMinar) is an annual international winter conference devoted to the theory and practice of computer science. The first SOFSEM was organized in 1974. SOFSEM consists of invited talks by prominent researchers, of contributed talks selected from the submitted papers, and of the Student Research Forum. The program is organized in plenary talks and parallel tracks devoted to original research in the selected research areas. SOFSEM has a long-standing tradition of facilitating discussions and collegial interactions. It is well-known for its familiar and inspiring atmosphere and as a meeting place for active and leading computer scientists. SOFSEM is a track-based conference. It features the traditional track on foundations of computer science and a number of other tracks that cover contemporary important areas, such as artificial intelligence, cryptography, security, verification, data science, knowledge engineering, social computing and human factors, software and web engineering, etc. The Track Chairs are soliciting technical papers for presentation at the conference and inclusion in the proceedings published by Springer in the ARCoSS/LNCS series. The topics of the conference are organised in four tracks and the (non exhaustive) list of topics for each track is as follows: Foundations of Computer Science ? Algorithms and data structures ? Automata and formal languages ? Complexity theory ? Computability theory ? Cryptography and security ? Graphs and networks ? Machine learning ? Non-classical models of computing ? Theory of databases, semi-structured data, and finite model theory ? Theory of programming languages Foundations of Software Engineering ? Methods and tools for improved software processes ? Software architecture of complex software-intensive systems ? Requirements Engineering ? Model-based software engineering methods and tools ? Data-driven improvement of methods, models, and tools ? Methods and tools for software engineering applications ? Empirical Software Engineering Foundations of Data Science ? Data Models and Query Languages ? Data Integration and Interoperability ? Query Processing and Optimization ? Distributed, Parallel, and P2P Data Processing and Management ? Data Semantics and Linked Data ? Spatial, Temporal, Multimedia Data ? Web- and Graph-based Data ? Probabilistic and Uncertain Data ? Information Extraction and Retrieval ? Data Privacy, Security, and Trust Foundations of Algorithmic Computational Biology ? Alignment and assembly of sequences ? Biological networks ? Cancer genomics ? Comparative genomics ? Gene expression ? Phylogenetics ? Sequence analysis ? System biology PAPER SUBMISSION Detailed guidelines for submission are available on the conference web site (https://cyprusconferences.org/sofsem2020/). Papers must be submitted electronically via Easychair in standard Springer format (max 12 pages, including references, etc.). The submision link is: https://easychair.org/my/conference?conf=sofsem2020 . Submitted papers will undergo a peer review process. PROCEEDINGS The proceedings will be published by Springer in the ARCoSS/LNCS series. IMPORTANT DATES ? September 2nd, 2019 (AoE): Submission of full papers ? October 14th, 2019: Notification of acceptance/rejection ? October 28th, 2019: Camera ready papers & author registration ? November 25th: Early (non author) registration ? January 20th - 24th, 2020: Conference dates ORGANISATION General Chairs ? Yannis Manolopoulos, Open University of Cyprus, Cyprus ? George A. Papadopoulos, University of Cyprus, Cyprus Steering Committee ? Barbara Catania, University of Genova, Italy ? Miroslaw Kutylowski, Wroclaw Uni. of Technology, Poland ? Jan van Leeuwen, Utrecht University, Utrecht, Netherlands ? Tiziana Margaria-Steffen, University of Limerick, Ireland ? Branislav Rovan, Comenius University, Bratislava, Slovakia ? Petr Saloun, Technical University of Ostrava, Czech Republic ? Julius Stuller, Academy of Sciences, Prague, Czech Republic, chair Tracks and Track Chairs ? Foundations of Computer Science: Christos Kapoutsis, Qatar ? Foundations of Data Science: Herodotos Herodotou, Cyprus ? Foundations of Software Engineering, Alexander Chatzigeorgiou, Greece ? Foundations of Algorithmic Computational Biology, Riccardo Dondi, Italy and Florian Sikora, France Student Research Forum Chair ? Theodoros Tzouramanis, Greece Webadmin ? Kyriakos Georgiades, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Fri Aug 30 08:12:24 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Fri, 30 Aug 2019 12:12:24 +0000 Subject: Connectionists: Research fellow position (tenure track) - closing date November 6 Message-ID: Link?ping University in Sweden advertises research fellow positions (tenure track) in Machine Learning. One research area will be on Machine Learning for Visual Perception. For further details and applying (deadline: November 6), see https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11927&rmlang=UK Looking forward to your applications! Best regards / med v?nliga h?lsningar Michael Felsberg -- Professor Michael Felsberg?????????????? Tel: +46 13 282460 Computer Vision Laboratory???????????? Mobile: +46 702 202460 Link?ping University??????????????????????????? email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden??????????? http://users.isy.liu.se/cvl/mfe/ From dwang at cse.ohio-state.edu Fri Aug 30 09:45:43 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Fri, 30 Aug 2019 09:45:43 -0400 Subject: Connectionists: NEURAL NETWORKS, Sept. 2019 Message-ID: Neural Networks - Volume 117, September 2019 http://www.journals.elsevier.com/neural-networks Deep neural network concepts for background subtraction:A systematic review and comparative evaluation Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung Understanding autoencoders with information theoretic concepts Shujian Yu, Jose C. Principe A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion Lin Xiao, Yongsheng Zhang, Jianhua Dai, Ke Chen, ... Jichun Li Closed-loop control of nonlinear neural networks: The estimate of control time and energy cost Chongyang Chen, Song Zhu, Yongchang Wei Learning, planning, and control in a monolithic neural event inference architecture Martin V. Butz, David Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte A neural network architecture for learning word???referent associations in multiple contexts Hansenclever F. Bassani, Aluizio F.R. Araujo Approximate neural optimal control with reinforcement learning for a torsional pendulum device Ding Wang, Junfei Qiao Novel bifurcation results for a delayed fractional-order quaternion-valued neural network Chengdai Huang, Xiaobing Nie, Xuan Zhao, Qiankun Song, ... Jinde Cao Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables Keisuke Fujii, Yoshinobu Kawahara Unsupervised feature selection via latent representation learning and manifold regularization Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, ... Hailin Yin Robust auto-weighted projective low-rank and sparse recovery for visual representation Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, ... Meng Wang Time series classification with Echo Memory Networks Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, ... Wei Zhou Locally linear SVMs based on boundary anchor points encoding Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao Time series trend detection and forecasting using complex network topology analysis Leandro Anghinoni, Liang Zhao, Donghong Ji, Heng Pan Observer-based sliding mode control for synchronization of delayed chaotic neural networks with unknown disturbance Yongshun Zhao, Xiaodi Li, Peiyong Duan Synchronization of impulsive coupled complex-valued neural networks with delay: The matrix measure method Lulu Li, Xiaohong Shi, Jinling Liang Delay-dependent stability analysis of the QUAD vector field fractional order quaternion-valued memristive uncertain neutral type leaky integrator echo state neural networks Seyed Mehdi Abedi Pahnehkolaei, Alireza Alfi, J.A. Tenreiro Machado Cost-effective stochastic MAC circuits for deep neural networks Hyeonuk Sim, Jongeun Lee Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective Shoubo Feng, Weijie Ren, Min Han, Yen Wei Chen An approximation algorithm for graph partitioning via deterministic annealing neural network Zhengtian Wu, Hamid Reza Karimi, Chuangyin Dang Switching event-triggered control for global stabilization of delayed memristive neural networks: An exponential attenuation scheme Yingjie Fan, Xia Huang, Hao Shen, Jinde Cao From michel.verleysen at uclouvain.be Fri Aug 30 17:38:01 2019 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Fri, 30 Aug 2019 21:38:01 +0000 Subject: Connectionists: ESANN 2020 call for papers Message-ID: ESANN 2020 - 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 22-23-24 April 2020 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: November 18, 2019. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 7 special sessions will be organized on the following topics: - Learning from partially labeled data - Machine Learning applied to Computer Networks - Tensor Decompositions in Deep Learning - Language processing in the era of deep learning - Machine learning in the pharmaceutical industry - Quantum Machine Learning - Frontiers in Reservoir Computing ESANN 2020 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. We hope to receive your submission to ESANN 2020 and to see you in Bruges next year! [cid:BA0CEBA4-4F7E-4ACE-8F18-A922077AB127 at ast.ucl.ac.be] Michel Verleysen Professor Louvain School of Engineering (EPL) ICTEAM institute Place du Levant, 3 box L5.03.02 B-1348-Louvain-la-Neuve michel.verleysen at uclouvain.be T?l. +32 10 47 25 51 - Fax +32 10 47 25 98 perso.uclouvain.be/michel.verleysen -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 24337 bytes Desc: image002.jpg URL: From tobi at ini.uzh.ch Sat Aug 31 05:58:55 2019 From: tobi at ini.uzh.ch (Tobi Delbruck (INI)) Date: Sat, 31 Aug 2019 11:58:55 +0200 Subject: Connectionists: AICAS 2020 IEEE AI Circuits and Systems - paper deadline Sept 30 Message-ID: <971e7c71-edb5-5466-5c1e-ce0fce8e3874@ini.uzh.ch> The 2020 "IEEE Artificial Intelligence Circuits and Systems" conference paper/demo deadline is Sept 30. Final paper deadline will be Dec 23 and conference will take place in Genova Italy in March 2020. There is also a call for tutorials. AICAS is a major initiative of the IEEE Circuits and Systems Society Board of Governors aimed to stand between ISSCC (solid state circuits) and machine learning conferences like NeurIPS, ICML, ICLR. AICAS 2019 (http://www.aicas2019.org/) took place last March in Taiwan with about 400 attendees and 75 accepted papers (about 40% acceptance rate). Please see https://aicas2020.eu for more information. -- Prof. Tobi Delbruck, Inst. for Neuroinformatics, UZH-ETH Zurich Sensors Group: http://sensors.ini.uzh.ch Personal page: http://www.ini.unizh.ch/~tobi Building 55, Room G84, Winterthurerstr. 190, CH-8057 Zurich, Switzerland Tel lab +41 44 635 3038, cell +41 76 629 1500