SUM: Scalable Uncertainty Management

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2020 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
SUM 2019 Thirteenth International Conference on Scalable Uncertainty Management
Dec 16, 2019 - Dec 18, 2019 Compiègne Jun 30, 2019
SUM 2018 12th International Conference on Scalable Uncertainty Management
Oct 3, 2018 - Oct 5, 2018 Milan, Italy Apr 1, 2018
SUM 2016 Scalable Uncertainty Management
Sep 21, 2016 - Sep 23, 2016 Nice, France May 22, 2016
SUM 2015 Ninth International Conference on Scalable Uncertainty Management
Sep 16, 2015 - Sep 18, 2015 Quebec, Canada May 10, 2015 (May 3, 2015)
SUM 2014 8th International Conference on Scalable Uncertainty Management
Sep 15, 2014 - Sep 17, 2014 Oxford, UK Apr 11, 2014 (Apr 4, 2014)
SUM 2013 7th International Conference on Scalable Uncertainty Management
Sep 16, 2013 - Sep 18, 2013 Washington DC Area, USA Apr 12, 2013 (Apr 5, 2013)
SUM 2012 Sixth International Conference on Scalable Uncertainty Management
Sep 17, 2012 - Sep 19, 2012 Marburg, Germany Apr 22, 2012
SUM 2011 Fifth International Conference on Scalable Uncertainty Management
Oct 10, 2011 - Oct 12, 2011 Dayton, Ohio May 4, 2011
SUM 2009 Third International Conference on Scalable Uncertainty Management
Sep 28, 2009 - Sep 30, 2009 Washington, DC, USA May 20, 2009
SUM 2008 Second International Conference on Scalable Uncertainty Management
Oct 1, 2008 - Oct 3, 2008 Napoli, Italy May 25, 2008
 
 

Present CFP : 2019

SUM 2019: the 13th international conference on Scalable Uncertainty Management
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The thirteenth international conference on Scalable Uncertainty Management (SUM 2019) will be held in Compiègne (France), on December 16-18, 2019, see: https://sum2019.hds.utc.fr

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
 

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