- SIPTA News - lists.sipta.org

[SIPTA] FW: Reliable Engineering Computing (REC2020), May 17-20, 2020, Taormina, Italy-Call for abstracts

by Kreinovich

Aug. 12, 2019

[SIPTA] BigDat 2020: early registration August 13

by IRDTA

Aug. 9, 2019

[SIPTA] SLSP 2019: call for posters

by IRDTA

July 10, 2019

Re: [SIPTA] AMCTM 2020 - Preliminary Announcement

by Kreinovich

July 4, 2019

Re: [SIPTA] SSCI2019 submission deadline extended to August 1

by Kreinovich

July 2, 2019

[SIPTA] Fw: 5th School on Belief Functions and their Applications, Siena, Italy, October 27-31, 2019 (2nd announcement)

by Kreinovich

July 2, 2019

[SIPTA] 5th School on Belief Functions and their Applications, Siena, Italy, October 27-31, 2019 (2nd announcement)

by Thierry Denoeux

July 2, 2019

[SIPTA] TPNC 2019: 3rd call for papers

by IRDTA

July 2, 2019

[SIPTA] Fwd: Calls - Bayes by the Sea

by Serena Doria

*Call for Papers: Bayes By the Sea: “Formal Epistemology, Statistics, and Game Theory”, Ancona, The Marche –Italy, 30-31 August 2019. * Recent proposals for scientific reform highlight the need to develop an integrated approach towards scientific methodology, which accounts for the interaction of foundational, pragmatic, and strategic dimensions of evidence evaluation. The second edition of the Bayes By the Sea conference: “Formal Epistemology, Statistics, and Game Theory” aims to bring together philosophers of statistics and of the scientific method, methodologists and metascientists, as well as economists and game-theorists, in order to refresh the debate on the foundations of the sciences from new perspectives, with a special focus on scientific rationality, scientific misconduct, science economics, foundations of statistics and the scientific method, in diverse scientific ecosystems characterized by distinctive practices, structures, and institutions. A special attention will be devoted this year also to formal/conceptual tools of game theory/rational choice theory in representing and studying the interactions of agents operating in scientific ecosystems as strategic behavior of rational players, whose repeated interactions shape the current scientific practices. *Keynote Speakers:* *Peter Brössel (Bochum)* *Clelia Di Serio (Milan)* *Andrés Pereas (Maastricht)* *Jan Sprenger (Turin)* We welcome contributions from:* (Formal/Social) Epistemology, Philosophy and Foundations of Statistics, Metascience and Scientific Methodology, (Epistemic) Game Theory, Decision Theory, Science Economics, Law, and Ethics.* *Deadline for Paper/Poster Submission: 2nd July 2019.* Please submit a short abstract (max 500 words) via Easychair <https://easychair.org/conferences/?conf=bbs2>. Organisers: Stefano Bonzio (Univpm Ancona) William Peden (Univpm Ancona; Durham) Barbara Osimani (Univpm Ancona; LMU) Mantas Radzvilas (MCMP/LMU Munich) Todd Stambaugh (MCMP/LMU Munich; CUNY) Contact: *s.oreficini(a)staff.univpm.it <s.oreficini(a)staff.univpm.it>* The conference will be embedded in the *BBS Summer School (25 August – 1st September)* and school participants will also actively attend to the conference. We greatly enjoyed our conference last year (*2018 Edition*) and we look forward to a similar success this year! *Summer School: Bayes By the Sea: “Formal Epistemology, Statistics, and Game Theory: The Summer School!”, Ancona, The Marche –Italy, 25 August -1 September 2019. * The School aims to bring together international experts in such fields as philosophy of statistics, philosophy of science, game theory and social epistemology in order to address foundational questions in the sciences from new perspectives, with a special focus on formal models of social interactions and scientific inference. In particular, students will attend to both theoretical lectures held by distinguished scholars in the fields and classes offering tutorials on formal methods and tools, as well as extensive overviews on the school related topics. Each of the school threads will be covered by interactive group work, excercises and one-to-one sessions, which will provide attendees with the opportunity to deepen their proficiency in a particular topic of interest. In-depth *lectures* will be given on: *Bayesian Philosophy of Science, Foundations of Statistics, Bayesian Statistics, Social Epistemology, Epistemic Game Theory, and Game-Theoretic Probability.* *Lecturers:* *Peter Brössel (Bochum)* *Philip Dawid (Cambridge)* *Anna-Maria Asunta Eder (Cologne)* *Stephan Hartmann (Munich)* *Andrés Perea (Maastricht)* *Jan Sprenger (Turin)* Three distinct tutorials will be given by expert scholars, in order to offer students introductory overviews and hands-on classes on the topics, which they feel less familiar. - *Introduction to Imprecise Probability* (Serena Doria) - *Introduction to Bayesian Epistemology* (William Peden) - *Introduction to Game Theory* (Mantas Radzvilas) - *R for Bayesian Statistics* (Momme von Sydow). Tuition Fees (100 Euros) will include breakfast and lunch breaks, social activities, as well as participation to the *Bayes By the Sea Conference* (30-31 August), to which Applicants are strongly encouraged to submit an abstract for a contributing paper/poster. *Deadline for application: 2nd of July 2019*, APPLY HERE <https://www.bayesbytheseaschool.com/application> A rich calendar of *social activities* will complement the fun! Organisers: Stefano Bonzio (Univpm Ancona) William Peden (Univpm Ancona; Durham) Barbara Osimani (Univpm Ancona; LMU) Mantas Radzvilas (MCMP/LMU Munich) Todd Stambaugh (MCMP/LMU Munich; CUNY) Contact: *s.oreficini(a)staff.univpm.it <s.oreficini(a)staff.univpm.it>* ----- Fine messaggio inoltrato. -----

June 26, 2019

[SIPTA] DeepLearn 2019: regular registration July 19

by IRDTA

June 26, 2019

Re: [SIPTA] The 4th international conference on Intelligent Decision Science (IDS-2020)

by Kreinovich

June 24, 2019

[SIPTA] Fw: SUM 2019 -- Last Call for Papers!

by Kreinovich

FYI ________________________________________ From: Martin THEOBALD <martin.theobald(a)uni.lu> Sent: Friday, June 21, 2019 3:44 AM SUM 2019: the 13th international conference on Scalable Uncertainty Management ------------------------------------------------------------------------------ The thirteenth international conference on Scalable Uncertainty Management (SUM 2019) will be held in Compiègne (France), on December 16-18, 2019. The SUM conferences are annual events which gather researchers interested in dealing with imperfect information, in a wide range of fields such as artificial intelligence, databases, information retrieval, machine learning, and risk analysis, with the aim of fostering collaboration and cross-fertilization of ideas from different communities. An originality of the SUM conferences is the care for dedicating a large part of their programs to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a 45-minute survey of one of the research areas in the scope of the conference. Topics of interest: The scope of the conference covers a wide range of topics related to the management of large amounts of information, in particular information of a complex kind, uncertain, incomplete, or inconsistent. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): * Imperfect information in artificial intelligence * - Statistical relational learning, graphical models, probabilistic inference - Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Imperfect information in databases * Methods for modeling, indexing, and querying uncertain databases * - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases - Data provenance and trust - Data summarization - Imperfect information in information retrieval and semantic web applications * Approximate schema and ontology matching * - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web * Risk analysis * - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results Invited keynotes: -Cassio P. de Campos (Utrecht University, Utrecht, the Netherlands): "Scalable reliable machine learning using sum-product networks" - Jérôme Lang (Université Paris Dauphine, Paris, France): "Computational social choice (provisional title)" - Wolfgang Gatterbauer (Northeastern University, Boston, MA, USA): "Algebraic approximations of the Probability of Boolean Functions (provisional title)" Important dates: - June 30th, 2019: submission deadline - Sept. 8th, 2019: notification of acceptance - Sept. 22nd, 2019: camera-ready copies - Dec. 16-18, 2019: conference Submission guidelines and proceedings: SUM 2019 solicits papers in the following three categories: - Long papers: technical papers reporting original research or survey papers - Short papers: papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of current research trends - Extended abstracts of recently published work in a relevant journal or top-tier conference Regular research papers should be at most 14 pages (including references, figures, and tables). Short papers should be between 4 and 7 pages. Extended abstracts should be at most 2 pages and must reference the originally published work. Accepted long and short papers will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). All submissions will be processed using EasyChair: https://easychair.org/conferences/?conf=sum2019 Submissions must be formatted according to Springer's guidelines for LNCS authors, which can be found at http://www.springer.de/comp/lncs/authors.html. Papers not respecting the formatting instructions or page limits may be rejected without review. Except for extended abstracts, submissions must be unpublished and must not be under submission elsewhere. All submitted papers will be reviewed by the Program Committee on the basis of technical quality, relevance, significance, and clarity. Organization committee: Yonatan Carlos Carranza Alarcon, Université de Technologie de Compiègne, France Sébastien Destercke, CNRS, Université de Technologie de Compiègne, France Marie-Hélène Masson, Université de Picardie Jules-Verne, France Benjamin Quost, Université de Technologie de Compiègne, France (conference chair) David Savourey, Université de Technologie de Compiègne, France Program committee chairs: Nahla Ben Amor, Institut Supérieur de Gestion de Tunis, Tunisia Martin Theobald, University of Luxembourg, Luxembourg Steering committee: Didier Dubois, IRIT-CNRS, France Lluis Godo, IIIA-CSIC, Spain Eyke Hüllermeier, Universität Paderborn, Germany Anthony Hunter, University College London, UK Henri Prade, IRIT-CNRS, France Steven Schockaert, Cardiff University, UK V. S. Subrahmanian, University of Maryland, USA

June 22, 2019

[SIPTA] Fw: The 2019 IEEE Symposium Series on Computational Intelligence, Xiamen, Dec. 6-9, 2019

by Kreinovich

June 22, 2019

[SIPTA] SLSP 2019: call for posters

by IRDTA

June 19, 2019

Re: [SIPTA] REC2020

by Kreinovich

June 8, 2019

[SIPTA] DeepLearn 2019: early registration June 22

by IRDTA

June 4, 2019

Re: [SIPTA] Extention of deadline submission of AICI 2020 !

by Kreinovich

June 1, 2019

[SIPTA] SLSP 2019: extended submission deadline June 8

by IRDTA

May 30, 2019

[SIPTA] SLSP 2019: 3rd call for papers

by IRDTA

May 22, 2019

[SIPTA] AICI 2020, Vietnam-based conference on AI and soft computing

by Kreinovich

May 18, 2019

[SIPTA] TPNC 2019: 1st call for papers

by IRDTA

May 17, 2019

Re: [SIPTA] SUM 2019 - Call for Papers

by Kreinovich

FYI, imprecise probabilities are one of the highlighted topics -----Original Message----- From: Martin THEOBALD Sent: Monday, May 13, 2019 5:51 AM SUM 2019: the 13th international conference on Scalable Uncertainty Management ------------------------------------------------------------------------------ The thirteenth international conference on Scalable Uncertainty Management (SUM 2019) will be held in Compiègne (France), on December 16-18, 2019. The SUM conferences are annual events which gather researchers interested in dealing with imperfect information, in a wide range of fields such as artificial intelligence, databases, information retrieval, machine learning, and risk analysis, with the aim of fostering collaboration and cross-fertilization of ideas from different communities. An originality of the SUM conferences is the care for dedicating a large part of their programs to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a 45-minute survey of one of the research areas in the scope of the conference. Topics of interest: The scope of the conference covers a wide range of topics related to the management of large amounts of information, in particular information of a complex kind, uncertain, incomplete, or inconsistent. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): * Imperfect information in artificial intelligence * - Statistical relational learning, graphical models, probabilistic inference - Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Imperfect information in databases * Methods for modeling, indexing, and querying uncertain databases * - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases - Data provenance and trust - Data summarization - Imperfect information in information retrieval and semantic web applications * Approximate schema and ontology matching * - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web = Risk analysis * Aleatory vs. epistemic uncertainty * - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results Invited keynotes: -Cassio P. de Campos (Utrecht University, Utrecht, the Netherlands): "Scalable reliable machine learning using sum-product networks" - Jérôme Lang (Université Paris Dauphine, Paris, France): "Computational social choice (provisional title)" - Wolfgang Gatterbauer (Northeastern Polytechnical University, Boston, MA, USA): "Algebraic approximations of the Probability of Boolean Functions (provisional title)" Important dates: - June 15th, 2019: submission deadline - Sept. 1st, 2019: notification of acceptance - Sept. 15th, 2019: camera-ready copies - Dec. 16-18, 2019: conference Submission guidelines and proceedings: SUM 2019 solicits papers in the following three categories: - Long papers: technical papers reporting original research or survey papers - Short papers: papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts of recently published work in a relevant journal or top-tier conference Regular research papers should be at most 14 pages (including references, figures, and tables). Short papers should be between 4 and 7 pages. Extended abstracts should be at most 2 pages and should reference the originally published work. Accepted long and short papers will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). All submissions will be processed using EasyChair: https://easychair.org/conferences/?conf=sum2019 Submissions must be formatted according to Springer's guidelines for LNCS authors, which can be found at http://www.springer.de/comp/lncs/authors.html. Papers not respecting the formatting instructions or page limits may be rejected without review. Except for extended abstracts, submissions must be unpublished and must not be under submission elsewhere. All submitted papers will be reviewed by the Program Committee on the basis of technical quality, relevance, significance, and clarity. Organization committee: Yonatan Carlos Carranza Alarcon, Université de Technologie de Compiègne, France Sébastien Destercke, CNRS, Université de Technologie de Compiègne, France Marie-Hélène Masson, Université de Picardie Jules-Verne, France Benjamin Quost, Université de Technologie de Compiègne, France (conference chair) David Savourey, Université de Technologie de Compiègne, France Program committee chairs: Nahla Ben Amor, Institut Supérieur de Gestion de Tunis, Tunisia Martin Theobald, University of Luxembourg, Luxembourg Steering committee: Didier Dubois, IRIT-CNRS, France Lluis Godo, IIIA-CSIC, Spain Eyke Hüllermeier, Universität Paderborn, Germany Anthony Hunter, University College London, UK Henri Prade, IRIT-CNRS, France Steven Schockaert, Cardiff University, UK V. S. Subrahmanian, University of Maryland, USA

May 13, 2019

[SIPTA] AlCoB 2019: call for participation

by IRDTA

May 7, 2019

[SIPTA] 5th School on Belief Functions and their Applications, Siena, Italy, October 27-31, 2019

by Thierry Denoeux

May 2, 2019

[SIPTA] SLSP 2019: 3rd call for papers

by IRDTA

April 30, 2019

[SIPTA] ISIPTA 2019: call for posters

by Jasper De Bock

April 28, 2019

[SIPTA] DeepLearn 2019: early registration April 27

by IRDTA

April 24, 2019

[SIPTA] AlCoB 2019: call for posters

by IRDTA

April 18, 2019

[SIPTA] DeepLearn 2019: early registration April 27

by IRDTA

April 17, 2019

[SIPTA] FW: IEEE SSCI2020 -- mark your calendars

by Kreinovich

April 16, 2019

[SIPTA] SLSP 2019: 2nd call for papers

by IRDTA

April 14, 2019

Re: [SIPTA] IEEE SMC Conference, Bari, Italy, deadline April 19, 2019

by Kreinovich

April 10, 2019

[SIPTA] AlCoB 2019: call for posters

by IRDTA

March 31, 2019

[SIPTA] DeepLearn 2019: early registration March 30

by IRDTA

March 24, 2019

Re: [SIPTA] conference of interest to imprecise probability researchers

by Kreinovich

March 21, 2019

[SIPTA] SLSP 2019: 1st call for papers

by IRDTA

March 18, 2019

[SIPTA] DARe at LPNMR-19: New Deadline 2 April 2019

by Ivan José Varzinczak

March 15, 2019

[SIPTA] 4th Call for papers: DARe at LPNMR-19

by Ivan José Varzinczak

March 9, 2019

[SIPTA] AlCoB 2019: call for posters

by IRDTA

March 9, 2019

[SIPTA] 12th WPMSIIP 2019 at Durham, 9-12 (13) September 2019

by COOLEN

March 8, 2019

[SIPTA] Special issue IJAR - VSI:RPK

by Barbara Vantaggi

March 6, 2019

[SIPTA] FW: FSTA 2020 - mark the dates

by Kreinovich

March 5, 2019

Re: [SIPTA] 2nd CfP ECSQARU 2019

by Kreinovich

FYI, please note that imprecise probabilities are explicitly mentioned as one of the main topics -----Original Message----- From: Gabriele Kern-Isberner ******************************************************************************** 2nd CALL FOR PAPERS Fifteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty ECSQARU 2019 September 18-20, 2019 Belgrade (Serbia) http://www.mi.sanu.ac.rs/~ecsqaru2019/ Invited Speakers: Fabio Gagliardi Cozman, University of Sao Paulo Lluís Godo, Artificial Intelligence Research Institute (IIIA), CSIC Francesca Toni, Imperial College London ******************************************************************************** The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty, with a focus on bringing symbolic and quantitative aspects together. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms. Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), Belfast (2011), Utrecht (2013), Compiègne (2015), and Lugano (2017). ::: SCOPE ::: For ECSQARU 2019 we invite submissions of original papers on topics which include but are not limited to: - Algorithms for uncertain inference - Applications of uncertain systems - Argumentation systems - Automated planning and acting under uncertainty - Belief functions - Belief change & merging - Classification & clustering - Decision theory & decision graphs - Default reasoning - Description logics with uncertainty - Foundations of reasoning under uncertainty - Fuzzy sets & fuzzy logic - Game theory - Hybrid reasoning - Imprecise probabilities - Inconsistency handling - Information fusion - Learning for uncertainty formalisms - Learning for uncertainty formalisms - Logics for reasoning under uncertainty - Markov decision processes - Possibility theory & possibilistic logic - Preferences - Probabilistic graphical models - Probabilistic logics - Qualitative uncertainty models - Rough sets - Uncertainty & data ::: PROCEEDINGS ::: In accordance with the previous conferences, the proceedings of ECSQARU 2019 will be published in the Springer Lecture Notes in Artificial Intelligence series. In addition to that, extended versions of selected papers will be published in a special issue of the International Journal of Approximate Reasoning. ::: SUBMISSIONS ::: Authors are requested to prepare their conference papers in the LNCS/LNAI format. Submitted papers must be original and not under review in a journal or another venue with formally published proceedings. They will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. Reviewing will be double-blind, so names of authors and affiliations must be omitted from the paper. Authors of accepted papers are expected to attend the conference to present their work, at least one author of each paper must register for the conference. Submitted papers must be at most 10 pages (excluding references) in the Springer LNCS/LNAI format. Submissions will be through EasyChair: https://easychair.org/conferences/?conf=ecsqaru2019 ::: IMPORTANT DATES ::: May 3, 2019: Abstract submission deadline May 10, 2019: Paper submission deadline June 11, 2019: Author notification Sept 18-20, 2019: ECSQARU 2019 _________________________________ Co-Chairs: Gabriele Kern-Isberner Department of Computer Science TU Dortmund, Germany gabriele.kern-isberner(a)cs.uni-dortmund.de Zoran Ognjanović (also Local Organization) Mathematical Institute SANU Belgrade, Serbia (ex: Serbia and Montenegro, Yugoslavia) zorano(a)mi.sanu.ac.rs Program Committee: Leila Amgoud, IRIT, France Alessandro Antonucci, IDSIA, Switzerland Ringo Baumann, Leipzig University, Germany Christoph Beierle, University of Hagen, Germany Vaishak Belle, University of Edinburgh, UK Concha Bielza, Technical University of Madrid, Spain Isabelle Bloch, ENST-LTCI, France Guy van den Broeck, University of California, US Giovanni Casini, University of Luxembourg, Luxembourg Laurence Cholvy, ONERA-Toulouse, France Giulianella Coletti, Univesity of Perugia, Italy Ines Couso, University of Oviedo, Spain Fabio G. Cozman, University of Sao Paulo, Brazil Fabio Cuzzolin, Oxford Brookes University, UK Luis (M.) De Campos, University of Granada, Spain Thierry Deneoux, University of Technology of Compiegne, France Sebastien Destercke, University of Technology of Compiegne, France Dragan Doder, University of Belgrade, Serbia Florence Dupin de Saint-Cyr, IRIT, France Zied Elouedi, Institut Superieur de Gestion de Tunis, Tunisia Patricia Everaere, University of Lille 1, France Alessandro Facchini, IDSIA, Switzerland Eduardo Ferme, University of Madeira, Spain Tommaso Flaminio, IIIA - CSIC, Spain Laurent Garcia, University of Angers, France Laura Giordano, Università del Piemonte Orientale, Italy Lluis Godo, Spanish National Research Council, Spain Anthony Hunter, University College London, UK Nebojsa Ikodinovic, University of Belgrade, Serbia Souhila Kaci, LIRMM, France Sebastien Konieczny, CRIL, France Jerome Lang, LAMSADE, France Florence Le Ber, ENGEES, France Philippe Leray, University of Nantes, France Peter Lucas, Radboud University, Netherlands Carsten Lutz, University of Bremen, Germany Francesca Mangili, IDSIA, Switzerland Choh Man Teng, Florida Institute for Human and Machine Cognition, US Pierre Marquis, University of Artois, France Maria Vanina Martinez, University of Oxford, UK David Mercier, University of Artois, France Thomas Meyer, University of Cape Town and CAIR, South Africa Enrique Miranda, University of Oviedo, Spain Serafin Moral, University of Granada, Spain Farid Nouioua, LSIS, France Odile Papini, LSIS UMR CNRS, France Davide Petturiti, University of Perugia, Italy Nico Potyka, University of Osnabrueck, Germany Henri Prade, IRIT, France Silja Renooij, Utrecht University, Netherlands Guillermo Simari, Universidad del Sur in Bahia Blanca, Argentina Karim Tabia, CRIL, France Rafael Testa, Unicamp, Brazil Matthias Thimm, University of Koblenz-Landau, Germany Matthias Troffaes, Durham University, UK Linda Van der Gaag, Utrecht University, Netherlands Leon van der Torre, University of Luxembourg, Ivan Varzinczak, University of Artois and CNRS, France Jirka Vomlel, Czech Academy of Sciences, Czech Republic Renata Wassermann, University of Sao Paulo, Brazil Stefan Woltran, Vienna University of Technology, Austria Eric Würbel, LSIS/INCA, France ******************************************************************************************* -- *************************************************** * Prof. Dr. Gabriele Kern-Isberner * Technische Universitaet Dortmund * Dept. of Computer Science * Chair I - Information Engineering * 44221 Dortmund, Germany * Phone: +49-231-755-2045 * Fax: +49-231-755 6555 * email: gabriele.kern-isberner(a)cs.uni-dortmund.de ***************************************************

March 2, 2019

Re: [SIPTA] Poster of ECONVN2020

by Kreinovich

March 2, 2019

[SIPTA] DeepLearn 2019: early registration March 2

by IRDTA

Feb. 26, 2019

[SIPTA] IFSA/NAFIPS'2019: additional deadline April 1 (not a joke!)

by Kreinovich

Feb. 25, 2019

[SIPTA] AlCoB 2019: call for posters

by IRDTA

Feb. 22, 2019

[SIPTA] Funded PhD position on "Reasoning under inconsistencies in support to maritime surveillance"

by frederic.pichon

* Title of the PhD project : Reasoning under inconsistencies in support to maritime surveillance * Starting date and duration: Octobre 2019, 36 months * Supervision: Supervisor: Frédéric Pichon, Associate Professor (Maître de conférences HDR), Laboratory of Computer Engineering and Automation of Artois (LGI2A) Co-supervisor: Anne-Laure Jousselme, Scientist, NATO Centre for Maritime Research & Experimentation (CMRE) * Topic of the project: In maritime surveillance, the detection, identification and management of inconsistencies in available information is of crucial importance for understanding the situation and analyzing ship behaviors. These inconsistencies may reflect illicit or malicious acts, ships in distress, or simply sensor malfunction. This task of monitoring is particularly difficult for an operator because of the volume, the variety and the lack of veracity of information. Moreover, the characterization of what constitutes an inconsistency represents a challenge in itself since it depends strongly on the operational context (mission, weather, geopolitics, environment). The objective of the project is to develop a formal and tooled approach to help reasoning in the presence of inconsistencies. Building on previous work [1-5] including recent work at LGI2A and CMRE [6-10], the project will aim at proposing one or more measures of the degree of inconsistency having clear semantics and behavior, adapted to the operational context and meaningful to the operator. The major challenge will therefore be to reconcile inconsistency measurement and human intuition as to its behavior. The formal framework chosen should be rich enough to handle the heterogeneity and imperfection of information, and to reflect different facets of human reasoning. As such, the theory of belief functions will be favored. The approach developed will be tested on real data from AIS (Automatic Identification System), possibly supplemented by information extracted from radar or satellite images, from past events, intelligence reports, patterns-of-life, nautical charts or social networks. References [1] D. Dubois, W. Liu, J. Ma, H. Prade. The basic principles of uncertain information fusion. An organised review of merging rules in different representation frameworks. Information Fusion 32:12-39, 2016. [2] A. Hunter, S. Konieczny. Measuring inconsistency through minimal inconsistent sets. Proc. of the 11th Int. Conf. on Principles of Knowledge Representation and Reasoning (KR'08), pp. 358-366, 2008. [3] S. Destercke, T. Burger. Toward an axiomatic definition of conflict between belief functions. IEEE Trans. Syst. Man Cybern. B 43(2):585-596, 2013. [4] T. George, N. R. Pal. Quantification of conflict in Dempster-Shafer framework: A new approach. Int. J. of General Systems 24(4):407-423, 1996. [5] R. R. Yager. On considerations of credibility of evidence. Int. J. Approx. Reason. 7(1/2):45-72, 1992. [6] G. Pallotta, A.-L. Jousselme. Data-driven detection and context-based classification of maritime anomalies. In Proc. of the 18th Int. Conf. on Information Fusion, Washington, D. C., USA, pp. 1152-1159, 2015. [7] F. Pichon, A.-L. Jousselme, N. Ben Abdallah. Several shades of conflict. Fuzzy Sets and Systems (2019), https://doi.org/10.1016/j.fss.2019.01.014 [8] F. Pichon, S. Destercke, T. Burger. A consistency-specificity trade-off to select source behavior in information fusion. IEEE Transactions on Cybernetics 45(4):598-609, 2015. [9] N. Ben Abdallah, A.-L. Jousselme, F. Pichon. An ordered family of consistency measures of belief functions. In F. Cuzzolin, S. Destercke, T. Denoeux and A. Martin, editors, Belief Functions: Theory and Applications, Proc. of the 5th International Conference, BELIEF 2018, Compi√®gne, France, September 17-21, 2018, volume 11069 of Lecture Notes in Computer Science, pages 199-207, Springer, 2018. [10] N. Ben Abdallah, A.-L. Jousselme, An evidential solution to support reasoning with partially reliable and conflicting sources in maritime surveillance, Under review, 2019. * Keywords: Belief functions, Dempster-Shafer theory, Consistency, Conflict, Anomaly, Maritime surveillance. * (Pending) Funding: Université d'Artois, French Région Hauts-de-France and/or research funding entity, for an expected gross salary of approximately 1800 euros per month for 3 years (standard duration and salary to complete doctoral studies in computer science in France). * Environment: The work will be carried out in the Laboratory of Computer Engineering and Automation of Artois (https://www.lgi2a.univ-artois.fr/spip/?lang=en) located in Béthune, France. Stays at the NATO Centre for Maritime Research & Experimentation (https://www.cmre.nato.int) located in La Spezia, Italy, may also be necessary. * Candidate profile: The candidate must hold a master's degree (or equivalent) in computer science. Knowledge in artificial intelligence will be an asset. * Application: Send CV, cover letter, grades and rankings of the last two years of studies as well as letters of recommendation to: Frédéric Pichon (frederic.pichon(a)univ-artois .fr) and Anne-Laure Jousselme (anne-laure.jousselme(a)cmre.nato.int)

Feb. 21, 2019

[SIPTA] CoProd'2019: additional deadline April 1 (not a joke!)

by Kreinovich

Feb. 19, 2019

[SIPTA] DeepLearn 2019: early registration March 2

by IRDTA

Feb. 16, 2019