Développement d'une méthode de modélisation pour le problème de la coopération entre systèmes d'information. - Frédéric Koriche (INFORSID, 1995)

Approximate Reasoning about Combined Knowledge. - Frédéric Koriche (ATAL, 1997)

Fault-Tolerant and Approximate Reasoning in Multi-Source Environments. - Frédéric Koriche (CoopIS, 1997)

Modeling Knowledge Merging Systems. - Frédéric Koriche (DEXA Workshop, 1997)

A Logic for Anytime Deduction and Anytime Compilation. - Frédéric Koriche (JELIA, 1998)

A Logic for Approximate First-Order Reasoning. - Frédéric Koriche (CSL, 2001)

On Anytime Coherence-Based Reasoning. - Frédéric Koriche (ECSQARU, 2001)

A Roadmap of Epistemic Logics for Learning Agents. - Frédéric Koriche (Intelligent Tutoring Systems, 2002)

Approximate coherence-based reasoning. - Frédéric Koriche (J. Appl. Non Class. Logics, 2002)

Robust k-DNF Learning via Inductive Belief Merging. - Frédéric Koriche; Joël Quinqueton (ECML, 2003)

Un modèle efficace de normes pour les systèmes multi-agents organisationnels. - Jacques Ferber; Frédéric Koriche; John Tranier (Tech. Sci. Informatiques, 2003)

Bias Windowing for Relational Learning. - Frédéric Koriche (ECAI, 2004)

A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems. - Christian Bessiere; Remi Coletta; Frédéric Koriche; Barry O'Sullivan (ECML, 2005)

Online Closure-Based Learning of Relational Theories. - Frédéric Koriche (ILP, 2005)

Acquiring Constraint Networks Using a SAT-based Version Space Algorithm. - Christian Bessiere; Remi Coletta; Frédéric Koriche; Barry O'Sullivan (AAAI, 2006)

Online Rule Learning via Weighted Model Counting. - Frédéric Koriche (ECAI, 2008)

Learning to assign degrees of belief in relational domains. - Frédéric Koriche (Mach. Learn., 2008)

Learning Conditional Preference Networks with Queries. - Frédéric Koriche; Bruno Zanuttini (IJCAI, 2009)

Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. - Yann Chevaleyre; Frédéric Koriche; Jérôme Lang; Jérôme Mengin; Bruno Zanuttini (Preference Learning, 2010)

Learning conditional preference networks. - Frédéric Koriche; Bruno Zanuttini (Artif. Intell., 2010)

Relational Networks of Conditional Preferences - (Extended Abstract). - Frédéric Koriche (ILP, 2011)

Relational networks of conditional preferences. - Frédéric Koriche (Mach. Learn., 2012)

Rounding Methods for Discrete Linear Classification. - Yann Chevaleyre; Frédéric Koriche; Jean-Daniel Zucker (ICML (1), 2013)

Knowledge Compilation for Model Counting: Affine Decision Trees. - Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis; Samuel Thomas (IJCAI, 2013)

Symmetry-Driven Decision Diagrams for Knowledge Compilation. - Anicet Bart; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (ECAI, 2014)

Compiling Constraint Networks into Multivalued Decomposable Decision Graphs. - Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis; Samuel Thomas (IJCAI, 2015)

An Improved CNF Encoding Scheme for Probabilistic Inference. - Anicet Bart; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (ECAI, 2016)

Fixed-Parameter Tractable Optimization Under DNNF Constraints. - Frédéric Koriche; Daniel Le Berre; Emmanuel Lonca; Pierre Marquis (ECAI, 2016)

Online Forest Density Estimation. - Frédéric Koriche (UAI, 2016)

General game playing with stochastic CSP. - Frédéric Koriche; Sylvain Lagrue; Éric Piette; Sébastien Tabary (Constraints An Int. J., 2016)

Constraint-Based Symmetry Detection in General Game Playing. - Frédéric Koriche; Sylvain Lagrue; Éric Piette; Sébastien Tabary (IJCAI, 2017)

Constraint acquisition. - Christian Bessiere; Frédéric Koriche; Nadjib Lazaar; Barry O'Sullivan (Artif. Intell., 2017)

WoodStock : un programme-joueur générique. - Frédéric Koriche; Sylvain Lagrue; Éric Piette; Sébastien Tabary (Rev. d'Intelligence Artif., 2017)

Compiling Combinatorial Prediction Games. - Frédéric Koriche (ICML, 2018)

Sur la Compilation de Jeux de Prédiction Combinatoire. - Frédéric Koriche (JFPDA, 2018)

Online Feature Selection by Adaptive Sub-gradient Methods. - Tingting Zhai; Hao Wang 013; Frédéric Koriche; Yang Gao 001 (ECML/PKDD (2), 2018)

Tracking Sparse Linear Classifiers. - Tingting Zhai; Frédéric Koriche; Hao Wang 013; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Statistical Computational Learning. - Antoine Cornuéjols; Frédéric Koriche; Richard Nock (A Guided Tour of Artificial Intelligence Research (1) (I), 2020)

Learning Variable Ordering Heuristics with Multi-Armed Bandits and Restarts. - Hugues Wattez; Frédéric Koriche; Christophe Lecoutre; Anastasia Paparrizou; Sébastien Tabary (ECAI, 2020)

On Tractable XAI Queries based on Compiled Representations. - Gilles Audemard; Frédéric Koriche; Pierre Marquis (KR, 2020)

On the Computational Intelligibility of Boolean Classifiers. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (KR, 2021)

On the Explanatory Power of Decision Trees. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (CoRR, 2021)

Trading Complexity for Sparsity in Random Forest Explanations. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (AAAI, 2022)

Les raisons majoritaires : des explications abductives pour les forêts aléatoires. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (EGC, 2022)

Sur le pouvoir explicatif des arbres de décision. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (EGC, 2022)

On Preferred Abductive Explanations for Decision Trees and Random Forests. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (IJCAI, 2022)

Best Heuristic Identification for Constraint Satisfaction. - Frédéric Koriche; Christophe Lecoutre; Anastasia Paparrizou; Hugues Wattez (IJCAI, 2022)

On the explanatory power of Boolean decision trees. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (Data Knowl. Eng., 2022)

Online active classification via margin-based and feature-based label queries. - Tingting Zhai; Frédéric Koriche; Yang Gao 001; Junwu Zhu; Bin Li 006 (Mach. Learn., 2022)

Sur les explications abductives préférées pour les arbres de décision et les forêts aléatoires. - Gilles Audemard; Steve Bellart; Louenas Bounia; Frédéric Koriche; Jean-Marie Lagniez; Pierre Marquis (EGC, 2023)

Approximating probabilistic explanations via supermodular minimization. - Louenas Bounia; Frédéric Koriche (UAI, 2023)

Approximation des explications probabilistes via la minimisation super-modulaire. - Louenas Bounia; Frédéric Koriche (EGC, 2024)

Learning Model Agnostic Explanations via Constraint Programming. - Frédéric Koriche; Jean-Marie Lagniez; Stefan Mengel; Chi Tran (ECML/PKDD (4), 2024)

Probabilistic Explanations for Regression Models. - Frédéric Koriche; Jean-Marie Lagniez; Chi Tran (UAI, 2025)