- SIPTA News - lists.sipta.org

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

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[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

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

May 30, 2020

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

May 25, 2020

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[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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Re: [SIPTA] IUKM 2020 Call for Papers [Phuket, Thailand, November 11-13, 2020]
by Kreinovich May 22, 2020

May 22, 2020

FYI, papers related to interval, fuzzy, and imprecise probability uncertainty and their combination are always welcome at this series of conferences. -----Original Message----- From: Van-Nam HUYNH [Apologies for cross-posting. Your help in circulating this call for papers to potentially interested parties will be highly appreciated.] ———————————————————————————————————————————————————— CALL FOR PAPERS ———————————————————————————————————————————————————— IUKM 2020: The Eighth International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING Phuket, Thailand, November 11-13, 2020 Conference website http://www.jaist.ac.jp/IUKM/IUKM2020/ Submission link https://easychair.org/conferences/?conf=iukm2020 Submission deadline June 12, 2020 ———————————————————————————————————————————————————— The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application. The Eighth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2020) will take place in the coastal city of Phuket, Thailand, during 11-13 November, 2020, and be jointly organized by Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand's National Electronics and Computer Technology Center (NECTEC), and Japan Advanced Institute of Science and Technology (JAIST). Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. The authors are invited to submit their full papers by June 12, 2020. The submissions will be peer-reviewed for originality and scientific quality. Authors are requested to prepare their papers in the Springer format. Submissions should not exceed 12 pages and must be submitted as PDF electronically through the conference's Easychair submission page. List of Topics Relevant topics for the IUKM 2020 Symposium include (but are not limited to) the following: — Theory and Methodology Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval-based models Modelling uncertainty and inconsistency in big data Learning and reasoning with uncertainty Logics for reasoning under uncertainty Uncertainty modelling in deep learning Information fusion and knowledge integration in uncertain environments Decision making under various types of uncertainty Aggregation operators for decision making Copulas for dependence modelling Granular and soft computing Computational intelligence — Application Data mining and knowledge discovery Ontology engineering and Semantic Web Intelligent data analysis and modelling Agents and argumentation Natural language processing Medical informatics and bioinformatics Ranking and recommendation systems Big data and cloud computing Social network analysis and mining Sensor fusion System identification and modelling Diagnosis and reliability Decision support systems Kansei/affective engineering Service computing Engineering management Supply chain management Environmental management Economics and econometrics --------------------------------------------------------------------------------------- Publication As done in previous editions, the proceedings of IUKM 2020 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Symposium. Venue The conference will be held in Patong Merlin Hotel, 44 Thaveewong Rd., Patong Beach, 83150 Patong Beach, Thailand. Contact All questions about submissions should be emailed to Dr. Warut PANNAKKONG at warut(a)siit.tu.ac.th

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[SIPTA] FW: submit papers to SSCI'2020?
by Kreinovich May 17, 2020

May 17, 2020

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[SIPTA] IFIP WG 7.3 PERFORMANCE 2020 - Deadline extension
by Cristina Rottondi May 12, 2020

May 12, 2020

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[SIPTA] IJAR Special Issue on 'Probability and Statistics: Foundations and History. In honor of Glenn Shafer'
by Thierry Denoeux May 11, 2020

May 11, 2020

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[SIPTA] SIPTA School in Liverpool postponed
by De Angelis May 10, 2020

May 10, 2020

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[SIPTA] BigDat 2020 Autumn: early registration May 9
by IRDTA May 4, 2020

May 4, 2020

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[SIPTA] FW: Advanced Mathematical and Computational Tools for Metrology XII Book – Deadline for ABSTRACTS 15th May 2020
by Kreinovich May 2, 2020

May 2, 2020

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[SIPTA] SLSP 2020: 2nd call for papers
by IRDTA April 30, 2020

April 30, 2020

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[SIPTA] Workshop on Nonmonotonic Reasoning (NMR 2020)
by Ivan José Varzinczak April 29, 2020

April 29, 2020

* Apologies if you receive multiple copies of this call * ============================== Call for Papers NMR 2020 Dates: 12-14 September 2020 Rhodes, Greece *** Deadline: 12 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: 12 June 2020 - Paper submission deadline: 19 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] BigDat 2020 Autumn: early registration May 9
by IRDTA April 25, 2020

April 25, 2020

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Re: [SIPTA] ESREL2020-PSAM15 - COVID-19 UPDATE: Conference postponed to November 1-6, 2020 in Venice
by Kreinovich April 21, 2020

April 21, 2020

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[SIPTA] CFP: ECML-PKDD colocated Workshop on Uncertainty in Machine Learning (WUML)
by Sébastien Destercke April 20, 2020

April 20, 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: ---------------------------------------------------------- T.B.A.

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[SIPTA] CFP: PERFORMANCE 2020
by Cristina Rottondi April 17, 2020

April 17, 2020

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[SIPTA] JOBS: Research Associate - Epistemic Utility for Imprecise Probability x 2
by Jason Konek April 15, 2020

April 15, 2020

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[SIPTA] SLSP 2020: 2nd call for papers
by IRDTA April 13, 2020

April 13, 2020

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[SIPTA] CfP: Workshop on “Explainable Logic-Based Knowledge Representation” (XLoKR 2020) in conjunction with KR 2020
by Francesco Kriegel April 13, 2020

April 13, 2020

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[SIPTA] Fwd: [UAI] SUM 2020: EXTENDED SUBMISSION DEADLINE: NEW DATE IS MAY 4TH, 2020
by Thomas Augustin April 10, 2020

April 10, 2020

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[SIPTA] Fwd: [GAMM COMINDS] Independent Junior Research Group Leader Positions
by Thomas Augustin April 8, 2020

April 8, 2020

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[SIPTA] BELIEF 2020 - Second call for papers
by frederic.pichon April 8, 2020

April 8, 2020

============================================================ 6th International Conference on Belief Functions (BELIEF 2020) Dates: October 23rd-25th, 2020 Location: Shanghai, China Submission deadline: April 15th, 2020 Notification: May 31st, 2020 Final version: June 30th, 2020 Further information: https://www.lgi2a.univ-artois.fr/events/belief2020/ ============================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modelling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. The first edition of this conference series was held in Brest, France, in 2010, the second edition in Compiègne, France, in 2012, the third edition in Oxford, UK, in 2014, the fourth edition in Prague, Czech Republic, in 2016, and the fifth edition in Compiègne, France, in 2018. The Sixth International Conference on Belief Functions (BELIEF 2020) will be held in Shanghai, China, on October 23-25, 2020. It will be co-located with the 2020 International Conference on Cognitive analytics, Granular computing, and Three-way decisions (CCGT). The co-location of the two events is intended to favour cross-fertilization among researchers active in both communities. Submission and Proceedings ======================= The proceedings of the BELIEF 2020 conference will be published by Springer-Verlag in a volume of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. Previous BELIEF proceedings can be found on SpringerLink. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. IJAR Special issue ============== Authors of selected papers from the BELIEF 2020 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. Invited speakers ============= We are very happy to announce that Prof. Huynh Van-Nam (Japan Advanced Institute of Science and Technology) has agreed to give an invited talk at the conference. More to be announced soon. ============================================================ BELIEF-CCGT Conference co-chairs Denoeux Thierry (Université de Technologie de Compiègne, France), Miao Duoqian (Tongji University, Shanghai, China), Yao Yiyu (University of Regina, Canada). BELIEF 2020 Program Committee co-chairs Liu Zhunga (liuzhunga(a)nwpu.edu.cn, Northwestern Polytechnical University, Xian, China), Pichon Frédéric (frederic.pichon(a)univ-artois.fr, Université d'Artois, France). BELIEF 2020 Steering committee Lefevre Eric (Université d'Artois, France), Liu Zhunga (Northwestern Polytechnical University, Xian, China), Mercier David (Université d'Artois, France), Pichon Frederic (Université d'Artois, France), Wei Zhihua (Tongji University, Shanghai, China), Yue Xiaodong (Shanghai University, China) BELIEF 2020 Organisation chair Yue Xiaodong, Shanghai University, China The organisers would be grateful if you could inform potentially interested participants of this conference.

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