April 2019 - D-CON - lists.rwth-aachen.de

SLSP 2019: 3rd call for papers
by IRDTA 30 Apr '19

30 Apr '19

SLSP 2019: 3rd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 7th INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING SLSP 2019 Ljubljana, Slovenia October 14-16, 2019 Co-organized by: Jožef Stefan Institute Institute for Research Development, Training and Advice (IRDTA), Brussels/London http://slsp2019.irdta.eu/ ********************************************************************************** AIMS: SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between the two domains will hopefully happen. In SLSP 2019, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology. VENUE: SLSP 2019 will take place in Ljubljana, a charming city full of art and one of the smallest capital cities in Europe. The venue will be: Jožef Stefan Institute Jamova cesta 39 1000 Ljubljana Slovenia SCOPE: The conference invites submissions discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to: anaphora and coreference resolution authorship identification, plagiarism and spam filtering computer-aided translation corpora and language resources data mining and semantic web information extraction information retrieval knowledge representation and ontologies lexicons and dictionaries machine translation multimodal technologies natural language understanding neural representation of speech and language opinion mining and sentiment analysis parsing part-of-speech tagging question-answering systems semantic role labelling speaker identification and verification speech and language generation speech recognition speech synthesis speech transcription spelling correction spoken dialogue systems term extraction text categorisation text summarisation user modeling STRUCTURE: SLSP 2019 will consist of: invited talks peer-reviewed contributions posters INVITED SPEAKERS: (to be completed) Alexandros Potamianos (National Technical University of Athens), Emotion and Behavioral Tracking in the Lab and in the Wild PROGRAMME COMMITTEE: Jon Barker (University of Sheffield, UK) Roberto Basili (University of Rome Tor Vergata, IT) Pushpak Bhattacharyya (Indian Institute of Technology, Bombay, IN) Fethi Bougares (University of Le Mans, FR) Philipp Cimiano (Bielefeld University, DE) Carol Espy-Wilson (University of Maryland, US) Nikos Fakotakis (University of Patras, GR) Robert Gaizauskas (University of Sheffield, UK) Julio Gonzalo (National Distance Education University, ES) Reinhold Häb-Umbach (Paderborn University, DE) John Hershey (Google, US) Julia Hirschberg (Columbia University, US) Jing Huang (JD AI Research, US) Mei-Yuh Hwang (Mobvoi AI Lab, US) Nancy Ide (Vassar College, US) Martin Karafiát (Brno University of Technology, CZ) Vangelis Karkaletsis (National Center for Scientific Research "Demokritos", GR) Tomi Kinnunen (University of Eastern Finland, FI) Sandra Kübler (Indiana University, US) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David Milne (University of Technology Sydney, AU) Marie-Francine Moens (KU Leuven, BE) Preslav Nakov (Qatar Computing Research Institute, QA) Elmar Nöth (University of Erlangen-Nuremberg, DE) Stephen Pulman (University of Oxford, UK) Matthew Purver (Queen Mary University of London, UK) Mats Rooth (Cornell University, US) Tony Russell-Rose (UX Labs, UK) Horacio Saggion (Pompeu Fabra University, ES) Tanja Schultz (University of Bremen, DE) Efstathios Stamatatos (University of the Aegean, GR) Erik Tjong Kim Sang (Netherlands eScience Center, NL) Isabel Trancoso (Instituto Superior Técnico, PT) Josef van Genabith (German Research Center for Artificial Intelligence, DE) K. Vijay-Shanker (University of Delaware, US) Atro Voutilainen (University of Helsinki, FI) Hsin-Min Wang (Academia Sinica, TW) Hua Xu (University of Texas, Houston, US) Edmund S. Yu (Syracuse University, US) François Yvon (CNRS - Limsi, FR) Wlodek Zadrozny (University of North Carolina, Charlotte, US) ORGANIZING COMMITTEE: Tina Anžič (Ljubljana) Jan Kralj (Ljubljana) Matej Martinc (Ljubljana) Sara Morales (Brussels) Manuel Parra-Royón (Granada) Senja Pollak (Ljubljana, co-chair) Matthew Purver (London) David Silva (London, co-chair) Anita Valmarska (Ljubljana) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Submissions have to be uploaded to: https://easychair.org/conferences/?conf=slsp2019 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS/LNAI series will be available by the time of the conference. A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The registration form can be found at: http://slsp2019.irdta.eu/Registration.php DEADLINES (all at 23:59 CET): Paper submission: June 1, 2019 Notification of paper acceptance or rejection: July 8, 2019 Final version of the paper for the LNCS/LNAI proceedings: July 15, 2019 Early registration: July 15, 2019 Late registration: September 30, 2019 Submission to the journal special issue: January 16, 2020 QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institut "Jožef Stefan" Institute for Research Development, Training and Advice (IRDTA), Brussels/London

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IMSS 2019
by IMSS 2019 27 Apr '19

27 Apr '19

IMSS – 2019 10th International Symposium on Intelligent Manufacturing and Service Systems 9-11 September 2019 Sakarya, TURKEY www.imss.sakarya.edu.tr Dear Colleague, On behalf of the organizing committee, we are pleased to announce that the 10th International Symposium on Intelligent Manufacturing and Service Systems (IMSS'19) will be held in Sakarya, Turkey during September 9-11, 2019. We would like to inform you that abstract submissions deadline has been extended until 15 May 2019. The papers will be submitted for publication in several international indexed (SCI, SCI-Exp., ESCI, etc.) journals. For detailed information please visit our website. The following feedback is required under the Turkish Personal Data Protection Law no. 6698. The IMSS Symposium Committee is taking the required precautions with responsibility in the stages of data protection, processing and transfers in accordance with the Turkish Personal Data Protection Law no. 6698 which includes the protection of the fundamental rights and freedoms of persons, and privacy of personal life. We would like to inform you about these issues. If you want to register about the developments related to the symposium (IMSS’19), click the subscribe button. SUBSCRIBE If you have no more interest in receiving information about IMSS’19, please click to unsubscribe button. UNSUBSCRIBE Best Regards. On behalf of the Symposium Committee Symposium Co-Chair Prof. Dr. Harun TAŞKIN

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DeepLearn 2019: early registration April 27
by IRDTA 24 Apr '19

24 Apr '19

DeepLearn 2019: early registration April 27*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* *************************************************************** 3rd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2019 Warsaw, Poland July 22-26, 2019 Co-organized by: Institute of Computer Science, Polish Academy of Sciences IRDTA – Brussels/London http://deeplearn2019.irdta.eu/ *************************************************************** --- Early registration deadline: April 27, 2019 --- *************************************************************** SCOPE: DeepLearn 2019 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 3 keynote lectures, 24 four-hour and a half courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: DeepLearn 2019 will take place in Warsaw, whose historical Old Town was designated a UNESCO World Heritage Site. The venue will be: Global Expo Modlinska 6D 03-216 Warsaw KEYNOTE SPEAKERS: Maria-Florina Balcan (Carnegie Mellon University), Data Driven Clustering Mark Gales (University of Cambridge), Use of Deep Learning in Non-native Spoken English Assessment Mihaela van der Schaar (University of Cambridge), tba PROFESSORS AND COURSES: (to be completed) Christopher Bishop (Microsoft Research Cambridge), [introductory] Introduction to the Key Concepts and Techniques of Machine Learning Aaron Courville (University of Montréal), [introductory/intermediate] Deep Generative Models Issam El Naqa (University of Michigan), [introductory/intermediate] Deep Learning for Biomedicine Sergei V. Gleyzer (University of Florida), [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Vasant Honavar (Pennsylvania State University), [introductory/intermediate] Causal Models for Making Sense of Data Qiang Ji (Rensselaer Polytechnic Institute), [introductory/intermediate] Probabilistic Deep Learning for Computer Vision James Kwok (Hong Kong University of Science and Technology), tba Tomas Mikolov (Facebook), [introductory] Using Neural Networks for Modeling and Representing Natural Languages (with Piotr Bojanowski and Armand Joulin) Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Björn Schuller (Imperial College London), [introductory/intermediate] Deep Learning for Intelligent Signal Processing Alex Smola (Amazon), [introductory] Dive into Deep Learning Sargur Srihari (University at Buffalo), [intermediate/advanced] Explainable Artificial Intelligence Ponnuthurai N Suganthan (Nanyang Technological University), [introductory/intermediate] Learning Algorithms for Classification, Forecasting and Visual Tracking Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Bertrand Thirion (INRIA), [introductory] Understanding the Brain with Machine Learning Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning Haixun Wang (WeWork), [intermediate] Abstractions, Concepts, and Machine Learning Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Multi-resolution Models for Learning Multilevel Abstract Representations of Text Ming-Hsuan Yang (University of California, Merced), [intermediate/advanced] Learning to Track Objects Zhongfei Zhang (Binghamton University), [introductory/advanced] Knowledge Discovery from Complex Data with Deep Learning OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by July 14, 2019. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. ORGANIZING COMMITTEE: Lukasz Kobylinski (Warsaw, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) REGISTRATION: It has to be done at http://deeplearn2019.irdta.eu/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Accommodation can be booked at http://www.deeplearn2019.promoest.com/hp.aspx?s=0 CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institute of Computer Science, Polish Academy of Sciences Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

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Extended Deadlines FMICS 2019: Formal Methods for Industrial Critical Systems; 1 May (abstract); 3 May (paper)
by Tim Willemse 19 Apr '19

19 Apr '19

Apologies for multiple postings. ------------------------------------------------ FMICS 2019: the 24th International Conference on Formal Methods for Industrial Critical Systems Co-located with CONCUR and FORMATS Aug 30-31, 2019, Amsterdam, The Netherlands https://fmics2019.fsa.win.tue.nl ------------------------------------------------ The aim of the FMICS conference series is to provide a forum for researchers who are interested in the development and application of formal methods in industry. In particular, FMICS brings together scientists and engineers who are active in the area of formal methods and interested in exchanging their experiences in the industrial usage of these methods. The FMICS conference series also strives to promote research and development for the improvement of formal methods and tools for industrial applications. Important Dates (AoE) Abstract submission: 1 May 2019 (extended; was 19 April) Paper submission: 3 May 2019 (extended; was 26 April) Notifications: 5 June 2019 Camera ready: 19 June 2019 Conference: 30-31 August 2019 Topics Topics of interest include (but are not limited to): - Case studies and experience reports on industrial applications of formal methods, focusing on lessons learned or identification of new research directions. - Methods, techniques and tools to support automated analysis, certification, debugging, descriptions, learning, optimisation and transformation of complex, distributed, real-time, embedded, mobile and autonomous systems. - Verification and validation methods (model checking, theorem proving, SAT/SMT constraint solving, abstract interpretation, etc.) that address shortcomings of existing methods with respect to their industrial applicability (e.g., scalability and usability issues). - Impact of the adoption of formal methods on the development process and associated costs. Application of formal methods in standardisation and industrial forums. Keynote Speakers (confirmed) - Jaco van de Pol (Aarhus University and University of Twente) - Holger Hermanns (Saarland University) Submission and Publication Papers must describe authors' original research work and results. Submitted papers must not have previously appeared in a journal or conference with published proceedings and must not be concurrently submitted to any other peer-reviewed workshop, symposium, conference or archival journal. Any partial overlap with any such published or concurrently submitted paper must be clearly indicated. Submissions should clearly motivate relevance to industrial application. Case study papers should identify lessons learned, validate theoretical results (such as scalability of methods) or provide specific motivation for further research and development. Papers should not exceed 15 pages (excluding max. 2 pages of references) formatted according to the LNCS style (Springer). All submissions will be reviewed by the Programme Committee who will make a selection among the submissions based on the novelty, soundness and applicability of the presented ideas and results. Papers must be written in English and should be submitted as Portable Document Format (PDF) files using the EasyChair submission site: https://easychair.org/conferences/?conf=fmics2019 The conference proceedings will be published by Springer in their LNCS series. Committees ---------- Programme Chairs - Kim Larsen, Aalborg University - Tim Willemse, Eindhoven University of Technology Programme Committee - Bernhard Aichernig, TU Graz - Giovanni Bacci, Aalborg University - Jiri Barnat, Masaryk University - Joerg Brauer, Verified Systems International GmbH - Ana Cavalcanti, University of York - Michael Fisher, University of Liverpool - Wan Fokkink, Vrije Universiteit Amsterdam - Maria-Del-Mar Gallardo, University of Malaga - Hubert Garavel, INRIA - Anne Haxthausen, Technical University of Denmark - Peter Höfner, CSIRO - Jozef Hooman, TNO-ESI/Radboud University Nijmegen - Falk Howar, Dortmund University of Technology/Fraunhofer ISST - Jeroen Keiren, Eindhoven University of Technology - Zhiming Liu, Southwest University - Tiziana Margaria, Lero - Peter Ölveczky, University of Oslo - Charles Pecheur, Université Catholique de Louvain - Matteo Rossi, Politecnico di Milano - Cristina Seceleanu, Mälardalen University - Scott Smolka, Stony Brook University - Maurice ter Beek, ISTI-CNR - Helen Treharne, University of Surrey - Jaco van de Pol, Aarhus University -- T.A.C. Willemse (T.A.C.Willemse(a)TUe.nl) +31 40 2472999 (voice) http://www.win.tue.nl/~timw http://www.linkedin.com/in/tacwillemse http://orcid.org/0000-0003-3049-7962 --

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AlCoB 2019: call for posters
by IRDTA 18 Apr '19

18 Apr '19

AlCoB 2019: call for posters*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* -------------------------------------------------------------- The 6th International Conference on Algorithms for Computational Biology (AlCoB 2019) invites researchers to submit poster presentations. AlCoB 2019 will be held in Berkeley on May 28-30, 2019. See http://alcob2019.irdta.eu/ Poster presentations are intended to enhance informal interactions with conference participants, at the same time allowing for in-depth discussion. TOPICS Presentations displaying novel work in progress on algorithms in computational biology are encouraged on the following topics: - assembling sequence reads into a complete genome, - identifying gene structures in the genome, - recognizing regulatory motifs, - aligning nucleotides and comparing genomes, - reconstructing regulatory networks of genes, and - inferring the evolutionary phylogeny of species. Posters do not need to show final research results. Work that might lead to new interesting developments is welcome. KEY DATES Poster submission deadline: April 21, 2019 Notification of poster acceptance or rejection: April 28, 2019 SUBMISSION Please submit a .pdf abstract through: https://easychair.org/conferences/?conf=alcob2019 It should contain the title, author(s) and affiliation, and should not exceed 500 words. PRESENTATION Posters will be allocated 10 minutes each in the programme for oral presentation. Moreover, they will remain hanging out during the whole conference for discussion. PUBLICATION Posters will not appear in the LNCS/LNBI proceedings volume of AlCoB 2019. However, they will be eligible for submission to the post-conference journal special issue in IEEE/ACM Transactions on Computational Biology and Bioinformatics (2017 JCR impact factor: 2.428). REGISTRATION At least one author of each accepted poster must register to the conference by May 14, 2019. The registration fare is reduced: 285 Euros. It gives the same rights all other conference participants have (attendance, copy of the proceedings volume, lunches, coffee breaks). Contributors of regular papers who in addition get a poster accepted must register for the latter independently.

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DeepLearn 2019: early registration April 27
by IRDTA 17 Apr '19

17 Apr '19

DeepLearn 2019: early registration April 27*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* *************************************************************** 3rd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2019 Warsaw, Poland July 22-26, 2019 Co-organized by: Institute of Computer Science, Polish Academy of Sciences IRDTA – Brussels/London http://deeplearn2019.irdta.eu/ *************************************************************** --- Early registration deadline: April 27, 2019 --- *************************************************************** SCOPE: DeepLearn 2019 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 four-hour and a half courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: DeepLearn 2019 will take place in Warsaw, whose historical Old Town was designated a UNESCO World Heritage Site. The venue will be: Global Expo Modlinska 6D 03-216 Warsaw KEYNOTE SPEAKERS: (to be completed) Mark Gales (University of Cambridge), Use of Deep Learning in Non-native Spoken English Assessment Mihaela van der Schaar (University of Cambridge), tba PROFESSORS AND COURSES: (to be completed) Christopher Bishop (Microsoft Research Cambridge), [introductory] Introduction to the Key Concepts and Techniques of Machine Learning Aaron Courville (University of Montréal), [introductory/intermediate] Deep Generative Models Issam El Naqa (University of Michigan), [introductory/intermediate] Deep Learning for Biomedicine Sergei V. Gleyzer (University of Florida), [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Vasant Honavar (Pennsylvania State University), [introductory/intermediate] Causal Models for Making Sense of Data Qiang Ji (Rensselaer Polytechnic Institute), [introductory/intermediate] Probabilistic Deep Learning for Computer Vision Tomas Mikolov (Facebook), [introductory] Using Neural Networks for Modeling and Representing Natural Languages (with Piotr Bojanowski and Armand Joulin) Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Björn Schuller (Imperial College London), [introductory/intermediate] Deep Learning for Intelligent Signal Processing Alex Smola (Amazon), [introductory] Dive into Deep Learning Sargur Srihari (University at Buffalo), [intermediate/advanced] Explainable Artificial Intelligence Ponnuthurai N Suganthan (Nanyang Technological University), [introductory/intermediate] Learning Algorithms for Classification, Forecasting and Visual Tracking Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Bertrand Thirion (INRIA), [introductory] Understanding the Brain with Machine Learning Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning Haixun Wang (WeWork), [intermediate] Abstractions, Concepts, and Machine Learning Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Multi-resolution Models for Learning Multilevel Abstract Representations of Text Ming-Hsuan Yang (University of California, Merced), [intermediate/advanced] Learning to Track Objects Zhongfei Zhang (Binghamton University), [introductory/advanced] Knowledge Discovery from Complex Data with Deep Learning OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by July 14, 2019. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. ORGANIZING COMMITTEE: Łukasz Kobyliński (Warsaw, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) REGISTRATION: It has to be done at http://deeplearn2019.irdta.eu/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Accommodation can be booked at http://www.deeplearn2019.promoest.com/hp.aspx?s=0 CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institute of Computer Science, Polish Academy of Sciences Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

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SLSP 2019: 2nd call for papers
by IRDTA 14 Apr '19

14 Apr '19

SLSP 2019: 2nd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 7th INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING SLSP 2019 Ljubljana, Slovenia October 14-16, 2019 Co-organized by: Jožef Stefan Institute Institute for Research Development, Training and Advice (IRDTA), Brussels/London http://slsp2019.irdta.eu/ ********************************************************************************** AIMS: SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between the two domains will hopefully happen. In SLSP 2019, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology. VENUE: SLSP 2019 will take place in Ljubljana, a charming city full of art and one of the smallest capital cities in Europe. The venue will be: Jožef Stefan Institute Jamova cesta 39 1000 Ljubljana Slovenia SCOPE: The conference invites submissions discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to: anaphora and coreference resolution authorship identification, plagiarism and spam filtering computer-aided translation corpora and language resources data mining and semantic web information extraction information retrieval knowledge representation and ontologies lexicons and dictionaries machine translation multimodal technologies natural language understanding neural representation of speech and language opinion mining and sentiment analysis parsing part-of-speech tagging question-answering systems semantic role labelling speaker identification and verification speech and language generation speech recognition speech synthesis speech transcription spelling correction spoken dialogue systems term extraction text categorisation text summarisation user modeling STRUCTURE: SLSP 2019 will consist of: invited talks peer-reviewed contributions posters INVITED SPEAKERS: tba PROGRAMME COMMITTEE: (to be completed) Pushpak Bhattacharyya (Indian Institute of Technology, Bombay, IN) Fethi Bougares (University of Le Mans, FR) Philipp Cimiano (Bielefeld University, DE) Nikos Fakotakis (University of Patras, GR) Robert Gaizauskas (University of Sheffield, UK) Julio Gonzalo (National Distance Education University, ES) Reinhold Häb-Umbach (Paderborn University, DE) Julia Hirschberg (Columbia University, US) Jing Huang (JD AI Research, CN) Mei-Yuh Hwang (Mobvoi AI Lab, US) Nancy Ide (Vassar College, US) Martin Karafiát (Brno University of Technology, CZ) Vangelis Karkaletsis (National Center for Scientific Research "Demokritos", GR) Tomi Kinnunen (University of Eastern Finland, FI) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David Milne (University of Technology Sydney, AU) Marie-Francine Moens (KU Leuven, BE) Preslav Nakov (Qatar Computing Research Institute, QA) Elmar Nöth (University of Erlangen-Nuremberg, DE) Stephen Pulman (University of Oxford, UK) Matthew Purver (Queen Mary University of London, UK) Mats Rooth (Cornell University, US) Tony Russell-Rose (UX Labs, UK) Horacio Saggion (Pompeu Fabra University, ES) Tanja Schultz (University of Bremen, DE) Efstathios Stamatatos (University of the Aegean, GR) Erik Tjong Kim Sang (Netherlands eScience Center, NL) Isabel Trancoso (Instituto Superior Técnico, PT) Josef van Genabith (German Research Center for Artificial Intelligence, DE) K. Vijay-Shanker (University of Delaware, US) Atro Voutilainen (University of Helsinki, FI) Hsin-Min Wang (Academia Sinica, TW) Hua Xu (University of Texas, Houston, US) Edmund S. Yu (Syracuse University, US) François Yvon (CNRS - Limsi, FR) Wlodek Zadrozny (University of North Carolina, Charlotte, US) ORGANIZING COMMITTEE: Tina Anžič (Ljubljana) Jan Kralj (Ljubljana) Matej Martinc (Ljubljana) Sara Morales (Brussels) Manuel Parra-Royón (Granada) Senja Pollak (Ljubljana, co-chair) Matthew Purver (London) David Silva (London, co-chair) Anita Valmarska (Ljubljana) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Submissions have to be uploaded to: https://easychair.org/conferences/?conf=slsp2019 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS/LNAI series will be available by the time of the conference. A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The registration form can be found at: http://slsp2019.irdta.eu/Registration.php DEADLINES (all at 23:59 CET): Paper submission: June 1, 2019 Notification of paper acceptance or rejection: July 8, 2019 Final version of the paper for the LNCS/LNAI proceedings: July 15, 2019 Early registration: July 15, 2019 Late registration: September 30, 2019 Submission to the journal special issue: January 16, 2020 QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institut "Jožef Stefan" Institute for Research Development, Training and Advice (IRDTA), Brussels/London

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FMICS 2019: Formal Methods for Industrial Critical Systems; deadlines: 19 April (abstract); 26 April (paper)
by Tim Willemse 07 Apr '19

07 Apr '19

Apologies for multiple postings. ------------------------------------------------ FMICS 2019: the 24th International Conference on Formal Methods for Industrial Critical Systems Co-located with CONCUR and FORMATS Aug 30-31, 2019, Amsterdam, The Netherlands https://fmics2019.fsa.win.tue.nl ------------------------------------------------ The aim of the FMICS conference series is to provide a forum for researchers who are interested in the development and application of formal methods in industry. In particular, FMICS brings together scientists and engineers who are active in the area of formal methods and interested in exchanging their experiences in the industrial usage of these methods. The FMICS conference series also strives to promote research and development for the improvement of formal methods and tools for industrial applications. Important Dates Abstract submission: 19 April 2019 Paper submission: 26 April 2019 Notifications: 5 June 2019 Camera ready: 19 June 2019 Conference: 30-31 August 2019 Topics Topics of interest include (but are not limited to): - Case studies and experience reports on industrial applications of formal methods, focusing on lessons learned or identification of new research directions. - Methods, techniques and tools to support automated analysis, certification, debugging, descriptions, learning, optimisation and transformation of complex, distributed, real-time, embedded, mobile and autonomous systems. - Verification and validation methods (model checking, theorem proving, SAT/SMT constraint solving, abstract interpretation, etc.) that address shortcomings of existing methods with respect to their industrial applicability (e.g., scalability and usability issues). - Impact of the adoption of formal methods on the development process and associated costs. Application of formal methods in standardisation and industrial forums. Keynote Speakers (confirmed) - Jaco van de Pol (Aarhus University and University of Twente) - Holger Hermanns (Saarland University) Submission and Publication Papers must describe authors' original research work and results. Submitted papers must not have previously appeared in a journal or conference with published proceedings and must not be concurrently submitted to any other peer-reviewed workshop, symposium, conference or archival journal. Any partial overlap with any such published or concurrently submitted paper must be clearly indicated. Submissions should clearly motivate relevance to industrial application. Case study papers should identify lessons learned, validate theoretical results (such as scalability of methods) or provide specific motivation for further research and development. Papers should not exceed 15 pages (excluding max. 2 pages of references) formatted according to the LNCS style (Springer). All submissions will be reviewed by the Programme Committee who will make a selection among the submissions based on the novelty, soundness and applicability of the presented ideas and results. Papers must be written in English and should be submitted as Portable Document Format (PDF) files using the EasyChair submission site: https://easychair.org/conferences/?conf=fmics2019 The conference proceedings will be published by Springer in their LNCS series. Committees ---------- Programme Chairs - Kim Larsen, Aalborg University - Tim Willemse, Eindhoven University of Technology Programme Committee - Bernhard Aichernig, TU Graz - Giovanni Bacci, Aalborg University - Jiri Barnat, Masaryk University - Joerg Brauer, Verified Systems International GmbH - Ana Cavalcanti, University of York - Michael Fisher, University of Liverpool - Wan Fokkink, Vrije Universiteit Amsterdam - Maria-Del-Mar Gallardo, University of Malaga - Hubert Garavel, INRIA - Anne Haxthausen, Technical University of Denmark - Peter Höfner, CSIRO - Jozef Hooman, TNO-ESI/Radboud University Nijmegen - Falk Howar, Dortmund University of Technology/Fraunhofer ISST - Jeroen Keiren, Eindhoven University of Technology - Zhiming Liu, Southwest University - Tiziana Margaria, Lero - Peter Ölveczky, University of Oslo - Charles Pecheur, Université Catholique de Louvain - Matteo Rossi, Politecnico di Milano - Cristina Seceleanu, Mälardalen University - Scott Smolka, Stony Brook University - Maurice ter Beek, ISTI-CNR - Helen Treharne, University of Surrey - Jaco van de Pol, Aarhus University -- T.A.C. Willemse (T.A.C.Willemse(a)TUe.nl) +31 40 2472999 (voice) http://www.win.tue.nl/~timw http://www.linkedin.com/in/tacwillemse http://orcid.org/0000-0003-3049-7962 --

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