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ORCID13th SUM 2019: Compiègne, France
- Nahla Ben Amor, Benjamin Quost, Martin Theobald
:
Scalable Uncertainty Management - 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings. Lecture Notes in Computer Science 11940, Springer 2019, ISBN 978-3-030-35513-5 - Matthias Thimm:
An Experimental Study on the Behaviour of Inconsistency Measures. 1-8 - Matthias Thimm:
Inconsistency Measurement. 9-23 - Isabelle Kuhlmann, Matthias Thimm:
Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study. 24-37 - Silja Renooij, Linda C. van der Gaag:
The Hidden Elegance of Causal Interaction Models. 38-51 - Hugo Martin, Patrice Perny:
Computational Models for Cumulative Prospect Theory: Application to the Knapsack Problem Under Risk. 52-65 - Jiarui Xie, Violaine Antoine:
On a New Evidential C-Means Algorithm with Instance-Level Constraints. 66-78 - Tatsuki Kawasaki, Sosuke Moriguchi, Kazuko Takahashi:
Hybrid Reasoning on a Bipolar Argumentation Framework. 79-92 - Nadjet Bourdache, Patrice Perny, Olivier Spanjaard:
Active Preference Elicitation by Bayesian Updating on Optimality Polyhedra. 93-106 - Cécile L'Héritier, Sébastien Harispe, Abdelhak Imoussaten, Gilles Dusserre, Benoît Roig:
Selecting Relevant Association Rules From Imperfect Data. 107-121 - Lucie Jacquin, Abdelhak Imoussaten, François Trousset, Jacky Montmain, Didier Perrin:
Evidential Classification of Incomplete Data via Imprecise Relabelling: Application to Plastic Sorting. 122-135 - Myriam Bounhas, Henri Prade:
An Analogical Interpolation Method for Enlarging a Training Dataset. 136-152 - Didier Dubois, Henri Prade:
Towards a Reconciliation Between Reasoning and Learning - A Position Paper. 153-168 - Nic Wilson, Didier Dubois, Henri Prade:
CP-Nets, \pi -pref Nets, and Pareto Dominance. 169-183 - Yakoub Salhi:
Measuring Inconsistency Through Subformula Forgetting. 184-191 - Christophe Labreuche:
Explaining Hierarchical Multi-linear Models. 192-206 - Salem Benferhat, Zied Bouraoui, Odile Papini, Éric Würbel:
Assertional Removed Sets Merging of DL-Lite Knowledge Bases. 207-220 - Nawal Benabbou, Thibaut Lust:
An Interactive Polyhedral Approach for Multi-objective Combinatorial Optimization with Incomplete Preference Information. 221-235 - Nico Potyka:
Open-Mindedness of Gradual Argumentation Semantics. 236-249 - Stefania Dumbrava, Angela Bonifati, Amaia Nazabal Ruiz Diaz, Romain Vuillemot:
Approximate Querying on Property Graphs. 250-265 - Eyke Hüllermeier, Sébastien Destercke, Inés Couso:
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. 266-279 - Sébastien Destercke, Sylvain Lagrue:
On Cautiousness and Expressiveness in Interval-Valued Logic. 280-288 - Pierre-Louis Guillot, Sébastien Destercke:
Preference Elicitation with Uncertainty: Extending Regret Based Methods with Belief Functions. 289-309 - Michael Crosscombe, Jonathan Lawry, Palina Bartashevich:
Evidence Propagation and Consensus Formation in Noisy Environments. 310-323 - Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. 324-338 - Myriam Bounhas, Marc Pirlot, Henri Prade, Olivier Sobrie:
Comparison of Analogy-Based Methods for Predicting Preferences. 339-354 - Rihab Bouslama, Raouia Ayachi, Nahla Ben Amor:
Using Convolutional Neural Network in Cross-Domain Argumentation Mining Framework. 355-367 - Zheng Tong, Philippe Xu, Thierry Denoeux:
ConvNet and Dempster-Shafer Theory for Object Recognition. 368-381 - Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier:
On Learning Evidential Contextual Corrections from Soft Labels Using a Measure of Discrepancy Between Contour Functions. 382-389 - Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui:
Efficient Möbius Transformations and Their Applications to D-S Theory. 390-403 - Christophe Gonzales:
Dealing with Continuous Variables in Graphical Models. 404-408 - Alvaro H. C. Correia, Cassio P. de Campos:
Towards Scalable and Robust Sum-Product Networks. 409-422 - Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen:
Learning Models over Relational Data: A Brief Tutorial. 423-432 - Marie-Jeanne Lesot:
Subspace Clustering and Some Soft Variants. 433-443
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