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[SIPTA] Special Track on Uncertain Reasoning at Flairs 34 - Last Call for Papers (deadline February 16)
by Antonucci Alessandro Feb. 3, 2021

Feb. 3, 2021

*** Apologies for multiple postings *** [UR @ FLAIRS 34] LAST CALL FOR PAPERS Special Track on Uncertain Reasoning at the 34th Florida Artificial Intelligence Research Society Conference (FLAIRS-34) May 16-19, 2021 - North Miami Beach, Florida (US) FLAIRS 34 will have a safe physical conference to the extent possible, and provide an option for online presentation for those who cannot attend the physical conference. Paper submission deadline: February 16, 2021 Conference website: http://www.flairs-34.info Special 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 this way 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 '21 Special Track at the 34th International Florida Artificial Intelligence Research Society Conference (FLAIRS-34) is the 26th in the series. Like the past tracks, UR'21 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 function, 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 process - 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) All accepted papers will be published as FLAIRS proceedings by AAAI Press. A special issue of an international journal will be devoted to extended versions of the top papers at the track. ::: 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 (Université du Québec en Outaouais) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Ameur Bensefia (Higher Colleges of Technology, United Arab Emirates) Nizar Bouguila (Concordia University, Canada) Cory Butz (University of Regina, Canada) Sebastien Destercke (University of Technology of Compiègne, France) Lluis Godo (Spanish National Research Council, Spain) Love Ekenberg (Stockholm University, Sweden) Christophe Gonzales (LIS, France) Ilyes Jenhani (Prince Mohammad Bin Fahd University, Saudi Arabia) Gabriele Kern-Isberner (University of Technology Dortmund, Germany) Vladik Kreinovich (University of Texas at El Paso, US) Philippe Leray (University of Nantes, France) Nicholas Mattei (Tulane University, US) Jhonatan S. Oliveira (University of Regina, Canada) Rafael Peñaloza (University of Milano-Bicocca, Italy) Lalintha Polpitya (Mathworks, US) Dilip Sarkar (University of Miami, US) Steven Schockaert (Cardiff University, UK) Karima Sedki (University of Paris 13, France) Kari Sentz (Los Alamos National Laboratory, US) Karim Tabia (Artois University, France) Choh Man Teng (Institute for Human and Machine Cognition, US) Thanuka Wickramarathne (University of Massachusetts, Lowell, US) Yang Xiang (University of Guelph, Canada) ::: Other Information ::: FLAIRS 34 will be held in North Miami Beach, Florida. Additional information on the conference location and travel planning can be found here. Feel free to write the organizers (alessandro(a)idsia.ch, kamal(a)miami.edu, benferhat(a)cril.fr) for any further information about the special track. ::: Submission ::: Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (4 pages for a poster) and are due by February 16, 2021. For FLAIRS-34, the 2021 conference, the reviewing is a double-blind process. Author names and affiliations must be omitted on submitted papers to provide double-blind reviewing. The papers will be reviewed by at least three reviewers. Papers must be submitted as PDF through the EasyChair conference system, which can also be accessed through the main conference web site. There are two kinds of submissions: full paper (up to 6 pages) to be presented by the author in a 20 minute oral presentation; short paper (up to 4 pages) to be presented in a poster session. Authors should indicate the special track "Uncertain Reasoning" for submissions. The proceedings of FLAIRS-34 will be published by the AAAI. 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-34.

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[SIPTA] Virtual conference on epistemic uncertainty
by IGNACIO MONTES GUTIERREZ Feb. 1, 2021

Feb. 1, 2021

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[SIPTA] IEEE Conference on Systems, Man, and Cybernetics SMC'2021, 2022, 2023, 2024: mark your calendars
by Kreinovich Jan. 31, 2021

Jan. 31, 2021

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[SIPTA] Re: ViCE Virtual Conference on Epistemic Uncertainty in Engineering
by Kreinovich Jan. 28, 2021

Jan. 28, 2021

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[SIPTA] Postdoc Position: The Bayesian Approach to Robust Argumentation Machines, Munich
by Thomas Augustin Jan. 26, 2021

Jan. 26, 2021

Dear SIPTA-list members, I'd like to inform you that Stephan Hartmann from the Munich Centre for Mathematical Philosophy invites applications for a postdoc position. The project uses Bayesian Belief Networks for large-scale applications in the context of robust argumentation machines. For more information see https://www.mcmp.philosophie.uni-muenchen.de/news/post_doc_rob_arg_2021/ind… Stephan and his team are also quite open to IP, providing a very interesting working environment. Best wishes, Thomas -- -- Prof. Dr. Thomas Augustin Studiendekan / Dean of Studies AG Method(olog)ische Grundlagen der Statistik und ihre Anwendungen / Foundations of Statistics and Their Applications Institut für Statistik / Department of Statistics Ludwig-Maximilians-Universität München/ LMU Munich Ludwigstr. 33/II D-80539 München; Germany Tel. +49(0) 89/2180 3520 Fax. +49(0) 89/2180 5044 augustin(a)stat.uni-muenchen.de http://www.foundstat.statistik.uni-muenchen.de/index.html (new!) http://www.foundstat.statistik.uni-muenchen.de/forschung/forschung_int/inde… (new!) http://www.foundstat.statistik.uni-muenchen.de/forschung/publikationen/arte… (new!)

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[SIPTA] CFP: IFIP WG 7.3 Performance conference
by Cristina Rottondi Jan. 21, 2021

Jan. 21, 2021

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[SIPTA] Lecturer job at Heudiasyc + PhD proposal (uncertainty propagation)
by Sébastien Destercke Jan. 21, 2021

Jan. 21, 2021

Dear all, A small mail to inform you that we have two positions opening: * We will open a permanent lecturer position this year in our team, for which strong profiles in uncertainty reasoning and/or statistical learning are welcomed. Although it is possible to teach in english, the usual teaching language here is french. Just let me know if you want more information. * We have a PhD proposal on (espistemic) uncertainty propagation in problems of 3D satellite image reconstruction (used, e.g., to map towns or track ice melting progression). You can check the details there: https://recrutement.cnes.fr/en/annonce/1100115-050-uncertain-and-incomplete… So, if you have strong candidates that could be interested, or are interested yourself, do not hesitate to contact me. -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Université de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Avenue de Landshut F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ====================================

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[SIPTA] UAI 2021 - Call for Papers
by Cassio de Campos Jan. 20, 2021

Jan. 20, 2021

UAI 2021 - Call for Papers The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to learning and reasoning in the presence of uncertainty. UAI 2021 will be held fully online from 27 to 30 July 2021. We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Papers will be assessed based on their novelty, technical quality, potential impact and clarity of writing. More detailed information can be found on the conference website: https://www.auai.org/uai2021/ All accepted papers will be presented in poster sessions and spotlight presentations in a single plenary track to ensure good visibility. Selected papers will have longer presentations and an assigned discussant to foster debate. All accepted papers will be published in a volume of Proceedings of Machine Learning Research (PMLR). Important dates: February 19, 2021 (23:59 UTC): Paper submission deadline April 14-20, 2021: Author response period May 12, 2021: Author notification We are looking forward to building an exciting program and will do our best to leverage the advantages that an online conference can create. If you have any particular positive or negative experience that you would like to share with us, please do not hesitate to write us an email. Very soon there will be a call for workshop proposals too, stay tuned. Cassio de Campos and Marloes Maathuis UAI 2021 Program Chairs uai2021programchairs(a)gmail.com

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[SIPTA] ISIPTA 2021 2nd CFPs: Deadline Approaching
by Serafin Moral Jan. 20, 2021

Jan. 20, 2021

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[SIPTA] Re: Call for Papers: Applications and Systems Track (KR 2021)
by Kreinovich Jan. 17, 2021

Jan. 17, 2021

FYI, applications involving probabilistic techniques are among the highlighted topics -----Original Message----- From: Thanh Dinh Sent: Friday, January 15, 2021 7:46 PM CALL FOR PAPERS *Applications and Systems Track* of the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de/ ------------------ Important Dates ------------------ Submission of title and abstract: March 24, 2021 Paper submission deadline: March 31, 2021 Author response period: May 24-26, 2021 Notification: June 15, 2021 Camera-ready papers: July 14, 2021 Conference dates: November 6-12, 2021 ------------------ Description ------------------ Systems and applications incorporating Knowledge Representation and Reasoning (KR) have made tremendous progress over the last decades and become more and more pervasive in scientific, industrial and everyday life. Popular knowledge representation formalisms range from databases, ontologies, classical, probabilistic and non-monotonic logics to natural language, offering rich means to describe a variety of static as well as dynamic phenomena. Automated reasoning systems harness machine learning, combinatorial search and optimization methods, planning, proving, design and diagnosis techniques to provide powerful tools for analyzing and deriving conclusions from complex input data. Novel, general and interdisciplinary approaches are thus vital contributions at the intersection of science, industry and society, aiming to enhance the capabilities and outreach of KR principles and technologies. This year, for the second time, KR 2021 will host a track on "Applications and Systems". This track aims at providing researchers and industrial practitioners with a dedicated forum for presentation and discussion of new ideas, research experience and emerging results on topics related to applications of KR formalisms and automated reasoning systems. This track provides the opportunity for fostering meaningful connections between researchers from both practical and theoretical areas of AI and, at the same time, offers participants the possibility to learn about progress made on these topics, share their own views and elaborate about approaches that could lead to effective cross-fertilisation among research in challenging KR applications and new innovative systems for solving them. ------------------ Expected Contributions ------------------ The Applications and Systems Track at KR 2021 invites submissions of papers on all aspects of the development, deployment, and evaluation of KR systems to solve significant and challenging application problems, including * case studies, including suitable descriptions of the problem setting, data and tools used, and “lessons learnt”, * use cases, including task specifications, related tasks/approaches, challenges, and a sketch of possible KR solution, * benchmarks, including suitable descriptions of the dataset, reasoning tasks, and ideally some “solution set” or gold standard, * system descriptions, including descriptions of the algorithm, implementation and empirical evaluation on a suitable dataset. We welcome the above kinds of papers on a wide range of topics, including classic KR tools/techniques as well as their usage for solving or supporting tasks in a range of areas, for example: * Computational Biology * Computer Vision and Image/Video Recognition * Creative Computing * Cybersecurity and Blockchain * Data Analytics * Databases and Query Answering * Diagnosis and Explanation * Game Theory and Social Choice * Intelligent Transportation and Logistics * Intelligent User Interfaces * Internet of Things * Machine Learning * Natural Language Processing * Digital Forensics * Robotics and Human Robot Collaboration * Semantic Web and Knowledge Graphs * Software Engineering * System Design We welcome submissions talking about interdisciplinary applications of KR, for example in economics, education, life sciences, medicine, and pharmacology. ------------------ Submission Guidelines and Evaluation Criteria ------------------ The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to Authors Guidelines for KR 2021. The track emphasizes applications of KR and development of KR systems, and welcomes contributions showcasing the impact of KR research as well as driving future research by presenting challenging data, use cases and problems together with observations and insights gained. Submissions will be rigorously peer reviewed by PC members, who are active in applications of KR and/or development of KR systems. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. In this track, the selection process of the highest quality papers will further apply the following criteria: - (for case studies) quality of the evaluation and significance of the “lessons learnt” - (for use cases) importance and novelty of these use cases for KR - (for system descriptions) quality of the empirical evaluation and its reporting - (for benchmarks) reusability, coverage, and complexity of the datasets ------------------ Chairs ------------------ Martin Gebser (University of Klagenfurt & Graz University of Technology, Austria) Martin.Gebser(a)aau.at Uli Sattler (University of Manchester, UK) Uli.Sattler(a)manchester.ac.uk

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