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[SIPTA] LATA 2020: extended submission deadline October 26

by IRDTA

Oct. 15, 2019

[SIPTA] [CALL FOR PAPERS] Uncertain Reasoning @ Flairs 33

by Alessandro Antonucci

Special Track on Uncertain Reasoning at Flairs 33 - Call for Papers *** Apologies for multiple postings *** [UR @ FLAIRS 33] CALL FOR PAPERS Special Track on Uncertain Reasoning at the 33rd Florida Artificial Intelligence Research Society Conference (FLAIRS-33) May 17-20, 2020 - North Miami Beach, Florida (US) Paper submission deadline: November 18, 2019 Conference website: http://www.flairs-33.info Track website: http://idsia.ch/~alessandro/flairs ::: Call for Papers ::: Many problems in AI (in reasoning, planning, learning, perception and robotics) require the agent to operate with incomplete or uncertain information. The objective of this track is to present and discuss a broad and diverse range of current work on uncertain reasoning, including theoretical and applied research based on different paradigms. We hope that the variety and richness of this track will help to promote cross fertilisation among the different approaches for uncertain reasoning, and in turn foster the development of new ideas and paradigms. The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR'20 Special Track at the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-33) is the 25th in the series. As in the past years, UR'20 track seeks to bring together researchers working on broad issues related to reasoning under uncertainty. Papers on all aspects of uncertain reasoning are invited. Papers of particular interest include, but are not limited to: - Uncertain reasoning formalisms, calculi and methodologies - Reasoning with probability, possibility, fuzzy logic, belief functions, vagueness, granularity, rough sets, and probability logics - Modelling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities - Exact, approximate and qualitative uncertain reasoning - Inference and learning with graphical models of uncertainty (e.g., Bayesian networks) - Multi-agent uncertain reasoning and decision making - Decision-theoretic planning and Markov decision processes - Temporal reasoning and uncertainty, non-monotonic reasoning, similarity-based reasoning - Conditional logics, description logic, logic programming - Argumentation - Belief change and merging - Construction of models from elicitation, data mining and knowledge discovery - Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment - Uncertain reasoning in data management - Practical applications of uncertain reasoning (e.g., machine learning, computer vision and animation) ::: Program Committee ::: : Track Chairs : - Alessandro Antonucci (IDSIA, Switzerland) - Salem Benferhat (University of Artois, France) - Kamal Premaratne (University of Miami, US) : PC Members : - Mohand Said Allili (Universit√© du Qu√©bec en Outaouais, Canada) - Ofer Arieli (The Academic College of Tel-Aviv, Israel) - Nizar Bouguila (Concordia University, Canada) - Cory Butz (University of Regina, Canada) - Martine Ceberio (University of Texas at El Paso, US) - Sebastien Destercke (University of Technology of Compiegne, France) - Love Ekenberg (Stockholm University, Sweden) - Christophe Gonzalez (University of Paris 6, France) - Ilyes Jenhani (Prince Mohammad Bin Fahd University, Saudi Arabia) - Gabriele Kern-Isberner (Technical University of Dortmund, Germany) - Vladik Kreinovich (University of Texas at El Paso, US) - Philippe Leray (University of Nantes, France) - Nicholas Mattei (Tulane University, US) - Rafael Peñaloza (University of Milano-Bicocca, Italy) - Lalintha G. Polpitiya (MathWorks, US) - Dilip Sarkar (University of Miami, US) - Steven Schockaert (Cardiff University, UK) - Karima Sedki (University of Paris 13, France) - Gunasekaran Seetharaman (Navy Research Laboratory, US) - Kari Sentz (Los Alamos National Laboratory, US) - Karim Tabia (Artois University, France) - Choh Man Teng (Institute for Human and Machine Cognition, US) - Barbara Vantaggi (Sapienza University of Rome, Italy) - Thanuka Wickramarathne (University of Massachusetts, Lowell, US) ::: Other Information ::: FLAIRS 33 will be held in North Miami Beach, Florida. Additional information on the conference location and travel planning can be found at http://www.flairs-33.info. Feel free to contact the organizers (alessandro(a)idsia.ch, kamal(a)miami.edu, benferhat(a)cril.fr) for any further information about the UR’20 special track. ::: Submission ::: Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (in that they should not have been submitted and in review or in the process of being submitted for another conference/journal). FLAIRS-33 accepts two types of submissions: full paper (up to 6 pages) to be presented by the author in a 20 minute oral presentation; and short paper (up to 4 pages) to be presented in a poster session. The submission deadline for both types of submissions is November 18, 2019. The 2020 FLAIRS-33 will employ a double-blind review process. Therefore, the author names and affiliations, and other identifying information, must be omitted when submitting papers for review. The papers will be reviewed by at least three reviewers. Papers must be submitted as PDF files through the EasyChair conference system, which can also be accessed through the FLAIRS-33 main conference web site. Authors should indicate the special track "Uncertain Reasoning" for submissions. The proceedings of FLAIRS-33 will be published by AAAI Press. A special issue of an international journal will be devoted to extended versions of the top papers presented within the track. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. At least one author of each accepted paper is required to register, attend, and present the paper at FLAIRS-33.

Oct. 14, 2019

[SIPTA] FW: Call for Abstracts: Minisymposium at the joint 14th World Congress in Computational Mechanics and ECCOMAS Congress 2020 (WCCM-ECCOMAS 2020)

by Kreinovich

Oct. 10, 2019

[SIPTA] AlCoB 2020: 1st call for papers

by IRDTA

Oct. 9, 2019

[SIPTA] LATA 2020: 3rd call for papers

by IRDTA

Oct. 5, 2019

[SIPTA] SLSP 2019: call for participation

by IRDTA

Oct. 3, 2019

Re: [SIPTA] Brett Houlding

by Alessio Benavoli

Sept. 25, 2019

Re: [SIPTA] Brett Houlding

by Polpo de Campos

I have had the chance to meet Brett a couple of times, including for the anniversary of the Department of Statistics in Dublin. A very nice person. These are sad news. Regards, cassio. ________________________________________ From: SIPTA [sipta-bounces(a)mailman2.ti-edu.ch] on behalf of Alessandro Antonucci [alessandro(a)idsia.ch] Sent: 23 September 2019 17:04 To: sipta(a)idsia.ch Subject: [SIPTA] Brett Houlding Forwarding a message from Frank Coolen, remembering our colleague Brett Houlding. ===================================== Dear friends, I would like to make the community aware of the sudden and untimely passing away of Brett Houlding on 14 September. Brett completed the MMATH degree at Durham in 2004 and then studied for PhD, it was my pleasure to supervise him. He completed his PhD in 2008 with a thesis entitled 'Sequential decision making with adaptive utility'. Brett made some contributions to imprecision, but in my view his main achievements are in decision theory. His thesis sets out foundations, theory and methods for sequential Bayesian decision theory where one also learns about ones utilities throughout the process. This aspect of decision theory has received surprisingly little attention, although it is relevant in many scenarios, e.g. should one visit a new restaurant, how serious are possible effects of system failure, what are side effects of new medication? In his thesis, Brett provided the starting points of a nice and powerful theory, with many research challenges remaining. After completing his PhD, Brett moved to Trinity College Dublin, first as PostDoc researcher and followed by an Assistant Professorship. This was in years of economic downturn in Ireland, with universities strongly affected. With only few colleagues Brett managed to keep an excellent undergraduate programme running, and he also supervised three students to PhD: Donnacha Bolger ('Reliability updating in linear opinion pooling with multiple decision makers', 2016), Shuaiwei Zhou ('Bayesian modelling and analysis of utility-based maintenance for repairable systems', 2017) and Angela McCourt ('Modelling uncertainty and vagueness within recommender systems via nonparametric predictive inference', 2019). He also collaborated successfully on applied statistics projects with external collaborators, which led to a range of high impact publications, in particular in the field of species richness assessment. About a year ago, Brett moved to an Associate Professor position at University College Cork, also in Ireland, where he looked forward to more research opportunities and a happy family life. I am happy to have known Brett, he was a hard-working, intelligent and nice person who will be greatly missed by all who knew him. Frank Coolen ===================================== _______________________________________________ SIPTA mailing list SIPTA(a)mailman2.ti-edu.ch https://mailman2.ti-edu.ch/mailman/listinfo/sipta

Sept. 24, 2019

[SIPTA] BigDat 2020: early registration October 2

by IRDTA

Sept. 24, 2019

[SIPTA] Brett Houlding

by Alessandro Antonucci

Forwarding a message from Frank Coolen, remembering our colleague Brett Houlding. ===================================== Dear friends, I would like to make the community aware of the sudden and untimely passing away of Brett Houlding on 14 September. Brett completed the MMATH degree at Durham in 2004 and then studied for PhD, it was my pleasure to supervise him. He completed his PhD in 2008 with a thesis entitled 'Sequential decision making with adaptive utility'. Brett made some contributions to imprecision, but in my view his main achievements are in decision theory. His thesis sets out foundations, theory and methods for sequential Bayesian decision theory where one also learns about ones utilities throughout the process. This aspect of decision theory has received surprisingly little attention, although it is relevant in many scenarios, e.g. should one visit a new restaurant, how serious are possible effects of system failure, what are side effects of new medication? In his thesis, Brett provided the starting points of a nice and powerful theory, with many research challenges remaining. After completing his PhD, Brett moved to Trinity College Dublin, first as PostDoc researcher and followed by an Assistant Professorship. This was in years of economic downturn in Ireland, with universities strongly affected. With only few colleagues Brett managed to keep an excellent undergraduate programme running, and he also supervised three students to PhD: Donnacha Bolger ('Reliability updating in linear opinion pooling with multiple decision makers', 2016), Shuaiwei Zhou ('Bayesian modelling and analysis of utility-based maintenance for repairable systems', 2017) and Angela McCourt ('Modelling uncertainty and vagueness within recommender systems via nonparametric predictive inference', 2019). He also collaborated successfully on applied statistics projects with external collaborators, which led to a range of high impact publications, in particular in the field of species richness assessment. About a year ago, Brett moved to an Associate Professor position at University College Cork, also in Ireland, where he looked forward to more research opportunities and a happy family life. I am happy to have known Brett, he was a hard-working, intelligent and nice person who will be greatly missed by all who knew him. Frank Coolen =====================================

Sept. 23, 2019