SUM 2019: The 13th International Conference on Scalable Uncertainty Management University of Technology of Compiègne Compiègne, France, December 16-18, 2019 |
Conference website | https://sum2019.hds.utc.fr/ |
Submission link | https://easychair.org/conferences/?conf=sum2019 |
Abstract registration deadline | July 8, 2019 |
Submission deadline | July 15, 2019 |
Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program 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.
The 13th International Conference on Scalable Uncertainty Management (SUM 2019) will be held in Compiègne (France), on December 16-18, 2019.
Dates
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June 30th, 2019: submission deadline
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Sept. 8th, 2019: notification of acceptance
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Sept. 22nd, 2019: camera-ready copies
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Dec. 16th-18th, 2019: conference
Submission Guidelines
SUM 2019 solicits original papers in the following three categories:
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Long papers (14 pages): technical papers reporting original research or survey papers
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Short papers (8 pages): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends
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Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference
All SUM submissions must be formatted according to the LNCS/LNAI guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Publication
Accepted long (14 pages) and short papers (8 pages) 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 (2 pages) 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)
Keynote talks
Cassio P. de Campos (Utrecht University, Utrecht, the Netherlands)
Scalable reliable machine learning using sum-product networks
Jérôme Lang (CNRS, Paris, France)
Computational social choice (provisional title)
Wolfgang Gatterbauer (Northeastern University, Boston, MA, USA)
Algebraic approximations of the Probability of Boolean Functions (provisional title)
Committees
Program Committee
- Nahla Ben Amor, LARODEC-ISG, Tunis, Tunisia
- Martin Theobald, University of Luxembourg, Esch-sur-Alzette, Luxembourg
Organizing committee
- Benjamin Quost, Université de Technologie de Compiègne, Compiègne, France (conference chair)
- 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
- David Savourey, Université de Technologie de Compiègne, France
Steering committee
- Didier Dubois, CNRS IRIT, France
- Lluis Godo, IIIA-CSIC, Spain
- Eyke Hüllermeier, Paderborn University, Germany
- Anthony Hunter, University College London, UK
- Henri Prade, CNRS IRIT, France
- Steven Schockaert, Cardiff University, UK
- VS Subrahmanian, University of Maryland, USA
Venue
The conference takes place in the Innovation Center of the Université de Technologie de Compiègne. Compiègne can be reached via Paris (by plane via the Charles de Gaulle airport, by train or by car), and then by train or taxi.
Details on the venue can be found on the website of the conference: https://sum2019.hds.utc.fr/
For any further organizational information, please contact the conference chair.
Contact
Benjamin Quost benjamin.quost@hds.utc.fr (Conference Chair)