- SIPTA News - lists.sipta.org

[SIPTA] Fwd: Faculty Positions In Machine Learning & Artificial Intelligence, and Statistics
by Thomas Augustin Sept. 30, 2020

Sept. 30, 2020

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[SIPTA] [jobs] Research Fellow in Deep Learning for Complex Activity Detection - Deadline extended
by Fabio Cuzzolin Sept. 28, 2020

Sept. 28, 2020

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[SIPTA] CALL FOR PARTICIPATION - IFIP WG 7.3 PERFORMANCE 2020
by Cristina Rottondi Sept. 25, 2020

Sept. 25, 2020

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Re: [SIPTA] New Dates and Call for Abstracts
by Kreinovich Sept. 25, 2020

Sept. 25, 2020

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[SIPTA] ISIPTA 2021: Call for Papers
by Serafin Moral Sept. 22, 2020

Sept. 22, 2020

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[SIPTA] BigDat 2021 Spring: early registration October 15
by IRDTA Sept. 21, 2020

Sept. 21, 2020

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[SIPTA] Post-doctoral positions in learning/inferences under severe uncertainties
by Sébastien Destercke Sept. 15, 2020

Sept. 15, 2020

Dear all, We have two opened post-doctoral positions at the Université de Technologie de Compiègne (nearby Paris) on the following topics: * Inference in graphs (details at https://www.labexms2t.fr/fileadmin/user_upload/SITE_LABEX/Recruitment/Postd…) * Preference learning (details at https://www.hds.utc.fr/~sdesterc/dokuwiki/_media/post_doc_preferences.pdf) Positions will remain open until they are filled. Hiring process may last about two or three months. Do not hesitate to contact me for any question. Best regards Sébastien -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Université de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Avenue de Landshut F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ==================================== -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

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[SIPTA] DeepLearn 2021 Winter: early registration September 14
by IRDTA Sept. 8, 2020

Sept. 8, 2020

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[SIPTA] SLSP 2020: call for posters
by IRDTA Sept. 1, 2020

Sept. 1, 2020

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[SIPTA] CFP IFIP PERFORMANCE Workshops -- submissions due mid September
by Cristina Rottondi Aug. 26, 2020

Aug. 26, 2020

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[SIPTA] TPNC 2020: call for posters
by IRDTA Aug. 25, 2020

Aug. 25, 2020

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[SIPTA] [jobs] AI Engineer position at TU Eindhoven
by Polpo de Campos Aug. 22, 2020

Aug. 22, 2020

The Uncertainty in Artificial Intelligence (UAI) group (https://uai.win.tue.nl/) and the Artificial Intelligence and Data Engineering (AIDE) Lab of Eindhoven University of Technology seek an AI engineer to enhance our strengths in research and education. The successful candidate will work with topics related to AI and machine learning and will improve the group’s capability of developing software solutions for education, research and industry. More details here: https://jobs.tue.nl/en/vacancy/ai-eng...(a)-uai-group-859044.html best, cassio. -- cassio(a)decampos.nl -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

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[SIPTA] BigDat 2021 Spring: early registration September 13
by IRDTA Aug. 19, 2020

Aug. 19, 2020

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[SIPTA] Ph.D. Student Position in Intelligent Tutoring and Assessment Systems in Education - USI, Switzerland
by francesca mangili Aug. 18, 2020

Aug. 18, 2020

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[SIPTA] DeepLearn 2021 Winter: early registration August 21
by IRDTA Aug. 11, 2020

Aug. 11, 2020

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[SIPTA] SCM -> CN
by IGNACIO MONTES GUTIERREZ Aug. 6, 2020

Aug. 6, 2020

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[SIPTA] The deadline for SSCI'2020 has been extended!
by Kreinovich Aug. 6, 2020

Aug. 6, 2020

Deadline for the IEEE Series of Symposia on Computational Intelligence has been extended to August 22. Imprecise probabilities is one of the highlighted topics for many of the symposia, including our Symposium on Computational Intelligence for Engineering Solutions. -----Original Message----- From: Dr. Carlos A. Coello Coello <ccoello(a)cs.cinvestav.mx> Sent: Wednesday, August 5, 2020 5:09 PM The deadline for submitting papers to SSCI'2020 has been extended to August 22nd. Please check: http://www.ieeessci2020.org/callofpapers.html Regards, -- Dr. Carlos A. Coello Coello Investigador Cinvestav 3F IEEE Fellow CINVESTAV-IPN Depto. de Computación Av. IPN No. 2508 Col. San Pedro Zacatenco México, D.F. 07300 e-mail: ccoello(a)cs.cinvestav.mx Tel. +52 55 5747 3800 ext. 6564 Fax: 011 52 55 5747 3757 URL: http://delta.cs.cinvestav.mx/~ccoello -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

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[SIPTA] Call for Participation: Workshop on “Explainable Logic-Based Knowledge Representation” (XLoKR 2020) in conjunction with KR 2020
by Francesco Kriegel Aug. 5, 2020

Aug. 5, 2020

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[SIPTA] LATA 2020 & 2021: 1st call for papers
by IRDTA Aug. 4, 2020

Aug. 4, 2020

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Re: [SIPTA] [Second CfP] AMAI Journal Special Issue on Uncertain Reasoning (extended deadline)
by Kreinovich Aug. 3, 2020

Aug. 3, 2020

FYI, imprecise probabilities is one of the highlighted topics -----Original Message----- From: Alessandro Antonucci Sent: Monday, August 3, 2020 5:52 AM Special Issue on Uncertain Reasoning of the Annals of Mathematics and Artificial Intelligence :: Second Call for Papers (Paper Submission Extended to August 31st) :: The AMAI Journal (Annals of Mathematics and Artificial Intelligence, springer.com/journal/10472) will publish a special issue on Uncertain Reasoning (UR) to collect extended versions of papers already accepted by the Uncertain Reasoning Special Track of the 33rd International Florida Artificial Intelligence Research Society Conference (UR(a)FLAIRS-33). The special issue is also open to other contributions in the field of reasoning under uncertainty. Topics of interest include, but is not limited to: - UR formalisms and methodologies based on probability, possibility, fuzzy logic, belief functions, vagueness, granularity, rough sets, imprecise probability, probabilistic logics; - Probabilistic graphical models (e.g., Bayesian networks, Markov random field, probabilistic circuits); - Multi-agent and decision-making UR, planning, Markov decision process, temporal and non-monotonic reasoning; - argumentation theory and belief revision; - knowledge graphs, ontologies and description logics; - UR in information retrieval and data fusion. :: Submission Guidelines :: Guidelines for the preparation of the manuscript can be found on the Springer website (https://www.springer.com/journal/10472/submission-guidelines?IFA) To submit their manuscript the authors should access the AMAI editorial manager (https://www.editorialmanager.com/amai) When asked to select the article type the "S703: Uncertain Reasoning" item should be selected. All the papers will undergo a standard review process. :: Important Dates (tentative) :: - Papers submission: August 31st, 2020 - Notification decisions: October 30th, 2020 - Revised manuscripts: December 15th, 2020 - Final decisions: February 15th, 2021 - Camera ready: March 30th, 2021 :: Contacts :: For any additional information about the special issue please contact the guest editors: Alessandro Antonucci IDSIA, Switzerland alessandro(a)idsia.ch Salem Benferhat University of Artois, France benferhat(a)cril.fr Kamal Premaratne University of Miami, US kamal(a)miami.edu -- This message was scanned by SUPSI mail-scanner and is believed to be clean. -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

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[SIPTA] IEEE Symposium on Computational Intelligence for Engineering Solutions: deadline August 7!
by Kreinovich Aug. 2, 2020

Aug. 2, 2020

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[SIPTA] SLSP 2020: call for posters
by IRDTA July 27, 2020

July 27, 2020

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[SIPTA] TPNC 2020: extended submission deadline August 1st
by IRDTA July 22, 2020

July 22, 2020

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[SIPTA] RV: ISIPTA 2021 dates
by IGNACIO MONTES GUTIERREZ July 20, 2020

July 20, 2020

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[SIPTA] BigDat 2020 Autumn: early registration July 20
by IRDTA July 14, 2020

July 14, 2020

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[SIPTA] DeepLearn 2021 Winter: early registration July 28
by IRDTA July 9, 2020

July 9, 2020

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[SIPTA] IEEE SMC'2020 deadline is July 15, no extensions!
by Kreinovich July 8, 2020

July 8, 2020

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Re: [SIPTA] [First CfP] AMAI Journal Special Issue on Uncertain Reasoning
by Kreinovich July 6, 2020

July 6, 2020

FYI, please note that imprecise probabilities is one of the highlighted topics -----Original Message----- From: Alessandro Antonucci Sent: Monday, July 6, 2020 3:47 AM Special Issue on Uncertain Reasoning of the Annals of Mathematics and Artificial Intelligence :: Fist Call for Papers :: The AMAI Journal (Annals of Mathematics and Artificial Intelligence, springer.com/journal/10472) will publish a special issue on Uncertain Reasoning (UR) to collect extended versions of papers already accepted by the Uncertain Reasoning Special Track of the 33rd International Florida Artificial Intelligence Research Society Conference (UR(a)FLAIRS-33). The special issue is also open to other contributions in the field of reasoning under uncertainty. Topics of interest include, but is not limited to: - UR formalisms and methodologies based on probability, possibility, fuzzy logic, belief functions, vagueness, granularity, rough sets, imprecise probability, probabilistic logics; - Probabilistic graphical models (e.g., Bayesian networks, Markov random field, probabilistic circuits); - Multi-agent and decision-making UR, planning, Markov decision process, temporal and non-monotonic reasoning; - argumentation theory and belief revision; - knowledge graphs, ontologies and description logics; - UR in information retrieval and data fusion. :: Submission Guidelines :: Guidelines for the preparation of the manuscript can be found on the Springer website (https://www.springer.com/journal/10472/submission-guidelines?IFA) To submit their manuscript the authors should access the AMAI editorial manager (https://www.editorialmanager.com/amai) When asked to select the article type the "S703: Uncertain Reasoning" item should be selected. All the papers will undergo a standard review process. :: Important Dates (tentative) :: - Papers submission: July 30th, 2020 - Notification decisions: September 30th, 2020 - Revised manuscripts: November 30th, 2020 - Final decisions: January 30th, 2021 - Camera ready: March 30th, 2021 :: Contacts :: For any additional information about the special issue please contact the guest editors: Alessandro Antonucci IDSIA, Switzerland alessandro(a)idsia.ch Salem Benferhat University of Artois, France benferhat(a)cril.fr Kamal Premaratne University of Miami, US kamal(a)miami.edu -- This message was scanned by SUPSI mail-scanner and is believed to be clean. -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

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[SIPTA] TPNC 2020: 3rd call for papers
by IRDTA June 30, 2020

June 30, 2020

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[SIPTA] Organized session CMStatistics 2020
by Davide Petturiti June 23, 2020

June 23, 2020

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[SIPTA] congratulations to Przemyslaw!
by Kreinovich June 18, 2020

June 18, 2020

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[SIPTA] [UAI] IUKM 2020 Call for Papers [Extended deadline: July 12, 2020]
by Van-Nam HUYNH June 18, 2020

June 18, 2020

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[SIPTA] conferences back to back in 2022, mark your calendars
by Kreinovich June 16, 2020

June 16, 2020

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[SIPTA] NMR'20 Deadlines: June 19 (abstract) and 26 (full paper) 2020
by Ivan José Varzinczak June 16, 2020

June 16, 2020

* Apologies if you receive multiple copies of this call * ============================== Call for Papers NMR 2020 Dates: 12-14 September 2020 Rhodes, Greece * Deadlines: 19 & 26 June 2020 * ============================== The 18th International Workshop on Nonmonotonic Reasoning (NMR) https://nmr2020.dc.uba.ar co-located with the International Conference on Principles of Knowledge Representation and Reasoning (KR) NMR is the premier forum for results in the area of nonmonotonic reasoning. Its aim is to bring together active researchers in this broad field within knowledge representation and reasoning (KRR), including belief revision, uncertain reasoning, reasoning about actions, planning, logic programming, preferences, argumentation, causality, and many other related topics including systems and applications. NMR has a long history - it started in 1984, and has been held every two years since then. Recent previous NMR workshops were held in Tempe (2018), Cape Town (2016), and Vienna (2014). NMR 2020 is co-located with KR 2020 and DL 2020. In particular, NMR 2020 will share a joint session with DL 2020. As in previous editions, NMR 2020 aims to foster connections between the different subareas of nonmonotonic reasoning and provide a forum for emerging topics. We especially invite papers on systems and applications, as well as position papers and papers addressing benchmark issues. The workshop will be structured by topical sessions fitting to the scopes of accepted papers. The workshop will be held in the Greek island of Rhodes, from 12 to 14 September 2020. Workshop activities will include invited talks and presentations of technical papers. -- Submission Information -- Papers should be at most 10 pages in AAAI style including references, figures, and appendices, if any. For further instructions on the format, please see the KR 2020 website. Papers must be submitted in PDF only. Please submit to: https://easychair.org/conferences/?conf=nmr2020 Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. Papers that have already been published or submitted elsewhere may have over length. -- Workshop Proceedings -- There are no formal proceedings for NMR. The accepted papers will be published as a technical report and will be made available in the Computing Research Repository (CoRR). The papers will be compiled in the homepage of NMR 2020 (https://nmr2020.dc.uba.ar) The copyright of the papers lies with the authors, and as far as NMR is concerned, they are free to submit to other conferences and workshops as well. -- Important Dates -- - Paper registration deadline: 19 June 2020 - Paper submission deadline: 26 June 2020 - Notification to authors: 15 July 2020 - Camera ready version: 31 July 2020 - Workshop dates: 12-14 September 2020 -- Invited Speakers -- - Andreas Herzig, IRIT CNRS, France (joint session with DL 2020) - Francesca Toni, Imperial College London, UK -- Workshop Co-Chairs -- - María Vanina Martínez, Universidad de Buenos Aires and CONICET, Argentina - Ivan Varzinczak, CRIL, Univ. Artois & CNRS, France -- Program Committee -- - Ofer Arieli, Academic College of Tel-Aviv, Israel - Christoph Beierle, FernUniversitaet Hagen, Germany - Alexander Bochman, Holon Institute of Technology, Israel - Richard Booth, Cardiff University, UK - Arina Britz, Stellenbosch University, South Africa - Giovanni Casini, Université du Luxembourg - James Delgrande, Simon Fraser University, Canada - Juergen Dix, Clausthal University of Technology, Germany - Wolfgang Faber, Alpen-Adria-Universität Klagenfurt - Jorge Fandinno, IRIT-CNRS, France - Eduardo Fermé, Universidade da Madeira, Portugal - Martin Gebser, University of Potsdam, Germany - Laura Giordano, Universite of Piemonte Orientale, Italy - Lluis Godo Lacasa, IIIA - CSIC, Spain - Andreas Herzig, IRIT-CNRS, France - Aaron Hunter, British Columbia Institute of Technology, Canada - Anthony Hunter, University College London, UK - Katsumi Inoue, National Institute of Informatics, Japan - Tomi Janhunen, Aalto University, Finland - Souhila Kaci, Université Montpellier 2, France - Antonis Kakas, University of Cyprus - Gabriele Kern-Isberner, Technische Universitaet Dortmund, Germany - Sébastien Konieczny, CRIL-CNRS, France - Thomas Lukasiewicz, University of Oxford, UK - Thomas Meyer, University of Cape Town, South Africa - Nir Oren, University of Aberdeen, UK - Odile Papini, Aix-Marseille Université, France - Xavier Parent, Université du Luxembourg - Ramon Pino Perez, Universidad de Los Andes, Venezuela - Laurent Perrussel, Université de Toulouse, France - Ricardo O. Rodriguez, Universidad de Buenos Aires, Argentina - Ken Satoh, National Institute of Informatics and Sokendai, Japan - Gerardo Simari, Universidad Nacional del Sur and CONICET, Argentina - Guillermo R. Simari, Universidad del Sur in Bahia Blanca, Argentina - Christian Straßer, Ruhr-Universitaet Bochum, Germany - Matthias Thimm, Universität Koblenz-Landau, Germany - Leon van der Torre, Université du Luxembourg - Renata Wassermann, Universidade de São Paulo, Brazil - Emil Weydert, Université du Luxembourg - Stefan Woltran, Vienna University of Technology, Austria -- Further Information -- Please visit the workshop website (https://nmr2020.dc.uba.ar) for further information and regular updates. -- Ivan Varzinczak - https://www.ijv.ovh CRIL, Université d'Artois & CNRS, France

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[SIPTA] SLSP 2020: call for posters
by IRDTA June 15, 2020

June 15, 2020

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[SIPTA] IPMU'2020, IPMU"2022, and IPMU'2024 Information Processing and Management of Uncertainty in Knowledge-Based Systems
by Kreinovich June 15, 2020

June 15, 2020

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Re: [SIPTA] Kind Reminder：Call for Abstracts for the ICOSSAR2021, June 21-25, 2021, Shanghai, China
by Kreinovich June 14, 2020

June 14, 2020

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[SIPTA] [CFP] Extended deadline (26/6): uncertainty in machine learning workshop (WUML) at ECML/PKDD
by Sébastien Destercke June 11, 2020

June 11, 2020

---------------------------------------------------------- C A L L F O R P A P E R S (extended deadline: 26th June) Uncertainty in Machine Learning Workshop (combined with a tutorial) at ECML/PKDD 2020 September 18, 2020, Ghent, Belgium https://sites.google.com/view/wuml-2020/ ---------------------------------------------------------- Motivation and Focus ---------------------------------------------------------- The notion of uncertainty is of major importance in machine learning and constitutes a key element of modern machine learning methodology. In recent years, it has gained in importance due to the increasing relevance of machine learning for practical applications, many of which are coming with safety requirements. In this regard, new problems and challenges have been identified by machine learning scholars, which call for new methodological developments. Indeed, while uncertainty has long been perceived as almost synonymous with standard probability and probabilistic predictions, recent research has gone beyond traditional approaches and also leverages more general formalisms and uncertainty calculi. For example, a distinction between different sources and types of uncertainty, such as aleatoric and epistemic uncertainty, turns out to be useful in many machine learning applications. The workshop will pay specific attention to recent developments of this kind. This workshop will be preceded by a tutorial, which provides an introduction to the topic of uncertainty in machine learning and gives an overview of existing methods and hitherto approaches to dealing with uncertainty. ---------------------------------------------------------- Aim and Scope ---------------------------------------------------------- The goal of this workshop is to bring together researchers interested in the topic of uncertainty in machine learning. It is meant to provide a forum for the discussion of the most recent developments in the modeling, processing, and quantification of uncertainty in machine learning problems, and the exploration of new research directions in this field. We welcome papers on all facets of uncertainty in machine learning. We solicit original work, which can be theoretical, practical, or applied, and also encourage the submission of work in progress as well as position papers or critical notes. The scope of the workshop covers, but is not limited to, the following topics: -- adversarial examples -- belief functions -- calibration -- classification with reject option -- conformal prediction -- credal classifiers -- deep learning and neural networks -- ensemble methods -- epistemic uncertainty -- imprecise probability -- likelihood and fiducial inference -- model selection and misspecification -- multi-armed bandits -- online learning -- noisy data and outliers -- out-of-sample prediction -- performance evaluation -- hypothesis testing -- probabilistic methods -- Bayesian machine learning -- reliable prediction -- set-valued prediction -- uncertainty quantification ---------------------------------------------------------- Submission and Review Process ---------------------------------------------------------- Authors are supposed to submit original work in the form of regular and short papers written in English. The length of the papers is limited to 6 pages for short contributions (reporting work in progress) and 12 pages for regular contributions (reporting on more mature work) in LNCS format. All papers must be submitted in PDF format online via the EasyChair submission interface: https://easychair.org/conferences/?conf=wuml2020 Each submission will be evaluated by at least two members of the programme committee on the basis of its relevance to the workshop, the significance and technical quality of the contribution, and the quality of presentation. All accepted papers will be included in the workshop proceedings and will be publicly available on the conference web site (unless authors opt out). Currently, possibilities for a follow-up publication are also explored, for example a special issue in a journal. At least one author of each accepted paper is required to attend the workshop to present. ---------------------------------------------------------- Current Invited Speakers: ---------------------------------------------------------- * Meelis Kull, University of Tartu, Associate Professor in Machine Learning and Chair of Data Science ---------------------------------------------------------- Important Dates: ---------------------------------------------------------- 26th June 2020 --- paper submission 24th July 2020 --- notification of acceptance or rejection 30th July 2020 --- camera-ready version 18th September --- workshop date ---------------------------------------------------------- Organization: ---------------------------------------------------------- Eyke Hüllermeier, Paderborn University, eyke(a)upb.de Sébastien Destercke, Heudiasyc, Compiegne, sebastien.destercke(a)hds.utc.fr ---------------------------------------------------------- Programme Committee: ---------------------------------------------------------- * Viktor Bengs, Paderborn University * Hendrik Boström, KTH Royal Institute of Technology, Sweden * Giorgio Corani, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale * Ines Couso, University of Oviedo * Cassio de Campos, Eindhoven University * Juan J, Del Coz, University of Oviedo * Thierry Denoeux, University of Technology of Compiègne * Stefan Depeweg, Siemens * Peter Flach, Bristol University * Hanno Gottschalk, University of Wuppertal * Ulf Johansson, Jönköping University * Meelis Kull, University of Tartu * Benjamin Quost, University of Technology of Compiègne * Steffen Udluft, Siemens * Vladimir Vovk, Royal Holloway, University of London * Willem Waegeman, Ghent University * Marco Zaffalon, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale

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[SIPTA] BigDat 2020 Autumn: early registration June 26
by IRDTA June 9, 2020

June 9, 2020

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[SIPTA] IFSA/EUSFLAT'2021: mark your calendars
by Kreinovich June 8, 2020

June 8, 2020

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[SIPTA] [Online Conference]{3rd batch CFP} -9th International Conference on Data Mining & Knowledge Management Process (CDKP 2020)
by s kareem June 8, 2020

June 8, 2020

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[SIPTA] CfP: Workshop on “Explainable Logic-Based Knowledge Representation” (XLoKR 2020) in conjunction with KR 2020
by Francesco Kriegel June 8, 2020

June 8, 2020

1 1

[SIPTA] CFP Workshop on Uncertainty in Machine Learning at ECML/PKDD 2020
by Sébastien Destercke June 4, 2020

June 4, 2020

---------------------------------------------------------- C A L L F O R P A P E R S Uncertainty in Machine Learning Workshop (combined with a tutorial) at ECML/PKDD 2020 September 14–18, 2020, Ghent, Belgium https://sites.google.com/view/wuml-2020/ ---------------------------------------------------------- Motivation and Focus ---------------------------------------------------------- The notion of uncertainty is of major importance in machine learning and constitutes a key element of modern machine learning methodology. In recent years, it has gained in importance due to the increasing relevance of machine learning for practical applications, many of which are coming with safety requirements. In this regard, new problems and challenges have been identified by machine learning scholars, which call for new methodological developments. Indeed, while uncertainty has long been perceived as almost synonymous with standard probability and probabilistic predictions, recent research has gone beyond traditional approaches and also leverages more general formalisms and uncertainty calculi. For example, a distinction between different sources and types of uncertainty, such as aleatoric and epistemic uncertainty, turns out to be useful in many machine learning applications. The workshop will pay specific attention to recent developments of this kind. This workshop will be preceded by a tutorial, which provides an introduction to the topic of uncertainty in machine learning and gives an overview of existing methods and hitherto approaches to dealing with uncertainty. ---------------------------------------------------------- Aim and Scope ---------------------------------------------------------- The goal of this workshop is to bring together researchers interested in the topic of uncertainty in machine learning. It is meant to provide a forum for the discussion of the most recent developments in the modeling, processing, and quantification of uncertainty in machine learning problems, and the exploration of new research directions in this field. We welcome papers on all facets of uncertainty in machine learning. We solicit original work, which can be theoretical, practical, or applied, and also encourage the submission of work in progress as well as position papers or critical notes. The scope of the workshop covers, but is not limited to, the following topics: -- adversarial examples -- belief functions -- calibration -- classification with reject option -- conformal prediction -- credal classifiers -- deep learning and neural networks -- ensemble methods -- epistemic uncertainty -- imprecise probability -- likelihood and fiducial inference -- model selection and misspecification -- multi-armed bandits -- online learning -- noisy data and outliers -- out-of-sample prediction -- performance evaluation -- hypothesis testing -- probabilistic methods -- Bayesian machine learning -- reliable prediction -- set-valued prediction -- uncertainty quantification ---------------------------------------------------------- Submission and Review Process ---------------------------------------------------------- Authors are supposed to submit original work in the form of regular and short papers written in English. The length of the papers is limited to 6 pages for short contributions (reporting work in progress) and 12 pages for regular contributions (reporting on more mature work) in LNCS format. All papers must be submitted in PDF format online via the EasyChair submission interface: https://easychair.org/conferences/?conf=wuml2020 Each submission will be evaluated by at least two members of the programme committee on the basis of its relevance to the workshop, the significance and technical quality of the contribution, and the quality of presentation. All accepted papers will be included in the workshop proceedings and will be publicly available on the conference web site (unless authors opt out). Currently, possibilities for a follow-up publication are also explored, for example a special issue in a journal. At least one author of each accepted paper is required to attend the workshop to present. ---------------------------------------------------------- Invited Speakers: ---------------------------------------------------------- * Meelis Kull, University of Tartu, Associate Professor in Machine Learning and Chair of Data Science More T.B.A. ---------------------------------------------------------- Important Dates: ---------------------------------------------------------- 11 June 2020 --- paper submission 20 July 2020 --- notification of acceptance or rejection 27 July 2020 --- camera-ready version 14th or 18th September --- workshop date ---------------------------------------------------------- Organization: ---------------------------------------------------------- Eyke Hüllermeier, Paderborn University, eyke(a)upb.de Sébastien Destercke, Heudiasyc, Compiegne, sebastien.destercke(a)hds.utc.fr ---------------------------------------------------------- Programme Committee: ---------------------------------------------------------- * Viktor Bengs, Paderborn University * Hendrik Boström, KTH Royal Institute of Technology, Sweden * Giorgio Corani, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale * Ines Couso, University of Oviedo * Cassio de Campos, Eindhoven University * Juan J, Del Coz, University of Oviedo * Thierry Denoeux, University of Technology of Compiègne * Stefan Depeweg, Siemens * Peter Flach, Bristol University * Hanno Gottschalk, University of Wuppertal * Ulf Johansson, Jönköping University * Meelis Kull, University of Tartu * Benjamin Quost, University of Technology of Compiègne * Steffen Udluft, Siemens * Vladimir Vovk, Royal Holloway, University of London * Willem Waegeman, Ghent University * Marco Zaffalon, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale

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[SIPTA] TPNC 2020: 2nd call for papers
by IRDTA June 4, 2020

June 4, 2020

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[SIPTA] Call for papers: minisymposium at ICOSSAR
by Matthias Faes June 1, 2020

June 1, 2020

1 0

[SIPTA] SLSP 2020: extended submission deadline June 8
by IRDTA May 30, 2020

May 30, 2020

1 0

[SIPTA] BigDat 2020 Autumn: early registration June 2
by IRDTA May 25, 2020

May 25, 2020

1 0

[SIPTA] 2nd CFP: NMR 2020 at KR
by Ivan José Varzinczak May 24, 2020

May 24, 2020

* Apologies if you receive multiple copies of this call * ============================== Call for Papers NMR 2020 Dates: 12-14 September 2020 Rhodes, Greece * Deadlines: 19 & 26 June 2020 * ============================== The 18th International Workshop on Nonmonotonic Reasoning (NMR) https://nmr2020.dc.uba.ar co-located with the International Conference on Principles of Knowledge Representation and Reasoning (KR) NMR is the premier forum for results in the area of nonmonotonic reasoning. Its aim is to bring together active researchers in this broad field within knowledge representation and reasoning (KRR), including belief revision, uncertain reasoning, reasoning about actions, planning, logic programming, preferences, argumentation, causality, and many other related topics including systems and applications. NMR has a long history - it started in 1984, and has been held every two years since then. Recent previous NMR workshops were held in Tempe (2018), Cape Town (2016), and Vienna (2014). NMR 2020 is co-located with KR 2020 and DL 2020. In particular, NMR 2020 will share a joint session with DL 2020. As in previous editions, NMR 2020 aims to foster connections between the different subareas of nonmonotonic reasoning and provide a forum for emerging topics. We especially invite papers on systems and applications, as well as position papers and papers addressing benchmark issues. The workshop will be structured by topical sessions fitting to the scopes of accepted papers. The workshop will be held in the Greek island of Rhodes, from 12 to 14 September 2020. Workshop activities will include invited talks and presentations of technical papers. -- Submission Information -- Papers should be at most 10 pages in AAAI style including references, figures, and appendices, if any. For further instructions on the format, please see the KR 2020 website. Papers must be submitted in PDF only. Please submit to: https://easychair.org/conferences/?conf=nmr2020 Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. Papers that have already been published or submitted elsewhere may have over length. -- Workshop Proceedings -- There are no formal proceedings for NMR. The accepted papers will be published as a technical report and will be made available in the Computing Research Repository (CoRR). The papers will be compiled in the homepage of NMR 2020 (https://nmr2020.dc.uba.ar) The copyright of the papers lies with the authors, and as far as NMR is concerned, they are free to submit to other conferences and workshops as well. -- Important Dates -- - Paper registration deadline: 19 June 2020 - Paper submission deadline: 26 June 2020 - Notification to authors: 15 July 2020 - Camera ready version: 31 July 2020 - Workshop dates: 12-14 September 2020 -- Invited Speakers -- - Andreas Herzig, IRIT CNRS, France (joint session with DL 2020) - Francesca Toni, Imperial College London, UK -- Workshop Co-Chairs -- - María Vanina Martínez, Universidad de Buenos Aires and CONICET, Argentina - Ivan Varzinczak, CRIL, Univ. Artois & CNRS, France -- Program Committee -- - Ofer Arieli, Academic College of Tel-Aviv, Israel - Christoph Beierle, FernUniversitaet Hagen, Germany - Alexander Bochman, Holon Institute of Technology, Israel - Richard Booth, Cardiff University, UK - Arina Britz, Stellenbosch University, South Africa - Giovanni Casini, Université du Luxembourg - James Delgrande, Simon Fraser University, Canada - Juergen Dix, Clausthal University of Technology, Germany - Wolfgang Faber, Alpen-Adria-Universität Klagenfurt - Jorge Fandinno, IRIT-CNRS, France - Eduardo Fermé, Universidade da Madeira, Portugal - Martin Gebser, University of Potsdam, Germany - Laura Giordano, Universite of Piemonte Orientale, Italy - Lluis Godo Lacasa, IIIA - CSIC, Spain - Andreas Herzig, IRIT-CNRS, France - Aaron Hunter, British Columbia Institute of Technology, Canada - Anthony Hunter, University College London, UK - Katsumi Inoue, National Institute of Informatics, Japan - Tomi Janhunen, Aalto University, Finland - Souhila Kaci, Université Montpellier 2, France - Antonis Kakas, University of Cyprus - Gabriele Kern-Isberner, Technische Universitaet Dortmund, Germany - Sébastien Konieczny, CRIL-CNRS, France - Thomas Lukasiewicz, University of Oxford, UK - Thomas Meyer, University of Cape Town, South Africa - Nir Oren, University of Aberdeen, UK - Odile Papini, Aix-Marseille Université, France - Xavier Parent, Université du Luxembourg - Ramon Pino Perez, Universidad de Los Andes, Venezuela - Laurent Perrussel, Université de Toulouse, France - Ricardo O. Rodriguez, Universidad de Buenos Aires, Argentina - Ken Satoh, National Institute of Informatics and Sokendai, Japan - Gerardo Simari, Universidad Nacional del Sur and CONICET, Argentina - Guillermo R. Simari, Universidad del Sur in Bahia Blanca, Argentina - Christian Straßer, Ruhr-Universitaet Bochum, Germany - Matthias Thimm, Universität Koblenz-Landau, Germany - Leon van der Torre, Université du Luxembourg - Renata Wassermann, Universidade de São Paulo, Brazil - Emil Weydert, Université du Luxembourg - Stefan Woltran, Vienna University of Technology, Austria -- Further Information -- Please visit the workshop website (https://nmr2020.dc.uba.ar) for further information and regular updates. -- Ivan Varzinczak - https://www.ijv.ovh CRIL, Université d'Artois & CNRS, France

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[SIPTA] FW: REC2020 postponed to May 16-20, 2021
by Kreinovich May 23, 2020

May 23, 2020

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[SIPTA] TPNC 2020: 1st call for papers
by IRDTA May 22, 2020

May 22, 2020

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