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ORCID15th SUM 2022, Paris, France
- Florence Dupin de Saint-Cyr
, Meltem Öztürk-Escoffier, Nico Potyka:
Scalable Uncertainty Management - 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings. Lecture Notes in Computer Science 13562, Springer 2022, ISBN 978-3-031-18842-8
Tutorial Articles
- Tanya Braun:
A Glimpse into Statistical Relational AI: The Power of Indistinguishability. 3-18 - Jean-Guy Mailly:
On Incompleteness in Abstract Argumentation: Complexity and Expressiveness. 19-33
Full Papers: Non-classical Reasoning
- Leila Amgoud, Vivien Beuselinck:
Towards a Principle-Based Approach for Case-Based Reasoning. 37-46 - Lydia Castronovo, Giuseppe Sanfilippo:
Iterated Conditionals, Trivalent Logics, and Conditional Random Quantities. 47-63 - Sébastien Destercke, Agnès Rico, Olivier Strauss:
Using Atomic Bounds to Get Sub-modular Approximations. 64-78 - Jonas Haldimann, Christoph Beierle:
Characterizing Multipreference Closure with System W. 79-91 - Kai Sauerwald, Gabriele Kern-Isberner, Alexander Becker, Christoph Beierle:
From Forgetting Signature Elements to Forgetting Formulas in Epistemic States. 92-106
Full Papers: Inconsistency
- Didier Dubois, Henri Prade:
A Capacity-Based Semantics for Inconsistency-Tolerant Inferences. 109-123 - Tommaso Flaminio, Lluís Godo, Sara Ugolini:
An Approach to Inconsistency-Tolerant Reasoning About Probability Based on Łukasiewicz Logic. 124-138 - Isabelle Kuhlmann, Anna Gessler, Vivien Laszlo, Matthias Thimm:
A Comparison of ASP-Based and SAT-Based Algorithms for the Contension Inconsistency Measure. 139-153
Full Papers: Decision Making and Social Choice
- Martin Durand, Fanny Pascual, Olivier Spanjaard:
A Non-utilitarian Discrete Choice Model for Preference Aggregation. 157-171 - Sébastien Konieczny, Stefano Moretti, Ariane Ravier, Paolo Viappiani:
Selecting the Most Relevant Elements from a Ranking over Sets. 172-185 - Nawapon Nakharutai, Sébastien Destercke, Matthias C. M. Troffaes:
Decision Making Under Severe Uncertainty on a Budget. 186-201 - Peiqi Sun, Michel Grabisch, Christophe Labreuche:
An Improvement of Random Node Generator for the Uniform Generation of Capacities. 202-216
Full Papers: Learning
- Myriam Bounhas, Henri Prade:
Logical Proportions-Related Classification Methods Beyond Analogy. 219-234 - Fares Grina, Zied Elouedi, Eric Lefevre:
Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble. 235-248 - Ilyes Jenhani, Ghaith Khlifi, Panagiotis Sidiropoulos, Henk Jansen, George Frangou:
Non-specificity-based Supervised Discretization for Possibilistic Classification. 249-262 - Julian Rodemann, Dominik Kreiss, Eyke Hüllermeier, Thomas Augustin:
Levelwise Data Disambiguation by Cautious Superset Classification. 263-276
Full Papers: Explanation
- Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni:
Descriptive Accuracy in Explanations: The Case of Probabilistic Classifiers. 279-294 - Christophe Labreuche:
Explanation of Pseudo-Boolean Functions Using Cooperative Game Theory and Prime Implicants. 295-308 - Suryani Lim, Henri Prade, Gilles Richard:
Using Analogical Proportions for Explanations. 309-325
Short Papers: Non-classical Reasoning
- Esther Anna Corsi, Tommaso Flaminio, Hykel Hosni:
Towards a Unified View on Logics for Uncertainty. 329-337 - Yassine Hmidy, Agnès Rico, Olivier Strauss:
Extending the Macsum Aggregation to Interval-Valued Inputs. 338-347
Short Papers: Explanation
- Sebastian Link, Henri Prade, Gilles Richard:
Analogical Proportions, Multivalued Dependencies and Explanations. 351-360 - Hénoïk Willot, Sébastien Destercke, Khaled Belahcène:
Explaining Robust Classification Through Prime Implicants. 361-369
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