STARLET: un langage pour une programmation logique fiable. - Jean Beney; Jean-François Boulicaut (SPLT, 1986)

STARLET: An Affix-Based Compiler Compiler Designed as a Logic Programming System. - Jean Beney; Jean-François Boulicaut (CC, 1990)

AFFLOG: une implantation de grammaires à deux niveaux pour l'étude de la Programmation Grammaticale Logique. - Sadeph Saidi; Jean-François Boulicaut (SPLT, 1990)

Checking and Debugging of Two-level Grammars. - Sadeph Saidi; Jean-François Boulicaut (PLILP, 1992)

Une approche multi-paradigmes our le test d'applications BDOO. - Christophe Rigotti; Mohand-Said Hacid; Jean-François Boulicaut (BDA, 1994)

Using Queries to Improve Database Reverse Engineering. - Jean-Marc Petit; Jacques Kouloumdjian; Jean-François Boulicaut; Farouk Toumani (ER, 1994)

F-Logic Programming and Terminological Constraints. - Christophe Rigotti; Mohand-Said Hacid; Jean-François Boulicaut (ICLP Workshop: Integration of Declarative Paradigms, 1994)

Vers une typologie des sémantiques opérationnelles pour les extensions de Prolog vers les objets. - Christophe Rigotti; Jean-François Boulicaut; Mohand-Said Hacid (JFPLC, 1994)

Towards the Reverse Engineering of Denormalized Relational Databases. - Jean-Marc Petit; Farouk Toumani; Jean-François Boulicaut; Jacques Kouloumdjian (ICDE, 1996)

Abduction et déduction de structures d'objets: une intégration multiparadigmes. - Jean-François Boulicaut; Christophe Rigotti (JFPLC, 1996)

Spreadsheet Generation from Rule-Based Specifications. - Jean-François Boulicaut; Patrick Marcel; François Pinet; Christophe Rigotti (DDLP, 1998)

Querying Inductive Databases: A Case Study on the MINE RULE Operator. - Jean-François Boulicaut; Mika Klemettinen; Heikki Mannila (PKDD, 1998)

Modeling KDD Processes within the Inductive Database Framework. - Jean-François Boulicaut; Mika Klemettinen; Heikki Mannila (DaWaK, 1999)

Query Driven Knowledge Discovery in Multidimensional Data. - Jean-François Boulicaut; Patrick Marcel; Christophe Rigotti (DOLAP, 1999)

Query Languages for Knowledge Discovery in Databases. - Jean-François Boulicaut (PKDD, 1999)

Association Rule Discovery in Highly-Correlated Data: a Case Study in Web Usage Mining. - Jean-François Boulicaut; Artur Bykowski; L. Gomez-Chantada (ADBIS-DASFAA Symposium, 2000)

Using Constraints during Frequent Set Mining: a Generic Approach. - Jean-François Boulicaut; Baptiste Jeudy (BDA, 2000)

Towards the Tractable Discovery of Association Rules with Negations. - Jean-François Boulicaut; Artur Bykowski; Baptiste Jeudy (FQAS, 2000)

Frequent Closures as a Concise Representation for Binary Data Mining. - Jean-François Boulicaut; Artur Bykowski (PAKDD, 2000)

Approximation of Frequency Queris by Means of Free-Sets. - Jean-François Boulicaut; Artur Bykowski; Christophe Rigotti (PKDD, 2000)

A KDD framework to support database audit. - Jean-François Boulicaut (Inf. Technol. Manag., 2000)

Query-Driven Knowledge Discovery via OLAP manipulations. - Jean-François Boulicaut; Patrick Marcel; Christophe Rigotti (BDA, 2001)

Mining Free Itemsets under Constraints. - Jean-François Boulicaut; Baptiste Jeudy (IDEAS, 2001)

A Comparison between Query Languages for the Extraction of Association Rules. - Marco Botta; Jean-François Boulicaut; Cyrille Masson; Rosa Meo (DaWaK, 2002)

Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining. - Baptiste Jeudy; Jean-François Boulicaut (Pattern Detection and Discovery, 2002)

Extraction de motifs séquentiels sous contraintes de similarité. - Matthieu Capelle; Jean-François Boulicaut; Cyrille Masson (EGC, 2002)

Signatures de situations boursières représentées par des séquences d'événements. - Marion Leleu; Jean-François Boulicaut (EGC, 2002)

Mining Frequent Sequential Patterns under a Similarity Constraint. - Matthieu Capelle; Cyrille Masson; Jean-François Boulicaut (IDEAL, 2002)

Using Condensed Representations for Interactive Association Rule Mining. - Baptiste Jeudy; Jean-François Boulicaut (PKDD, 2002)

Optimization of association rule mining queries. - Baptiste Jeudy; Jean-François Boulicaut (Intell. Data Anal., 2002)

Comprehensive Log Compression with Frequent Patterns. - Kimmo Hätönen; Jean-François Boulicaut; Mika Klemettinen; Markus Miettinen; Cyrille Masson (DaWaK, 2003)

Using transposition for pattern discovery from microarray data. - François Rioult; Jean-François Boulicaut; Bruno Crémilleux; Jérémy Besson (DMKD, 2003)

A Framework for Frequent Sequence Mining under Generalized Regular Expression Constraints. - Hunor Albert-Lorincz; Jean-François Boulicaut (KDID, 2003)

Mining Concepts from Large SAGE Gene Expression Matrices. - François Rioult; Céline Robardet; Sylvain Blachon; Bruno Crémilleux; Olivier Gandrillon; Jean-François Boulicaut (KDID, 2003)

GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions. - Marion Leleu; Christophe Rigotti; Jean-François Boulicaut; Guillaume Euvrard (MLDM, 2003)

Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions. - Marion Leleu; Christophe Rigotti; Jean-François Boulicaut; Guillaume Euvrard (PKDD, 2003)

Mining Frequent Sequential Patterns under Regular Expressions: A Highly Adaptive Strategy for Pushing Contraints. - Hunor Albert-Lorincz; Jean-François Boulicaut (SDM, 2003)

Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries. - Jean-François Boulicaut; Artur Bykowski; Christophe Rigotti (Data Min. Knowl. Discov., 2003)

Query Languages Supporting Descriptive Rule Mining: A Comparative Study. - Marco Botta; Jean-François Boulicaut; Cyrille Masson; Rosa Meo (Database Support for Data Mining Applications, 2004)

A Survey on Condensed Representations for Frequent Sets. - Toon Calders; Christophe Rigotti; Jean-François Boulicaut (Constraint-Based Mining and Inductive Databases, 2004)

Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach. - Jean-François Boulicaut (Database Support for Data Mining Applications, 2004)

Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. - Ruggero G. Pensa; Jérémy Besson; Céline Robardet; Jean-François Boulicaut (Constraint-Based Mining and Inductive Databases, 2004)

04161 Abstracts Collection - Detecting Local Patterns. - Jean-François Boulicaut; Katharina Morik; Arno Siebes (Detecting Local Patterns, 2004)

Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis. - Ruggero G. Pensa; Jean-François Boulicaut (Local Pattern Detection, 2004)

A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data. - Ruggero G. Pensa; Jérémy Besson; Jean-François Boulicaut (Discovery Science, 2004)

Assessment of discretization techniques for relevant pattern discovery from gene expression data. - Ruggero G. Pensa; Claire Leschi; Jérémy Besson; Jean-François Boulicaut (BIOKDD, 2004)

Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (KDID, 2004)

Constraint-Based Mining of Formal Concepts in Transactional Data. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (PAKDD, 2004)

Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. - Céline Robardet; Ruggero G. Pensa; Jérémy Besson; Jean-François Boulicaut (PaRMa, 2004)

Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. - Cyrille Masson; Céline Robardet; Jean-François Boulicaut (SAC, 2004)

Introduction. - Jean-François Boulicaut; Bruno Crémilleux (Ingénierie des Systèmes d Inf., 2004)

Constraint-Based Data Mining. - Jean-François Boulicaut; Baptiste Jeudy (The Data Mining and Knowledge Discovery Handbook, 2005)

Data Mining Query Languages. - Jean-François Boulicaut; Cyrille Masson (The Data Mining and Knowledge Discovery Handbook, 2005)

Towards Fault-Tolerant Formal Concept Analysis. - Ruggero G. Pensa; Jean-François Boulicaut (AI*IA, 2005)

Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (CAP, 2005)

From Local Pattern Mining to Relevant Bi-cluster Characterization. - Ruggero G. Pensa; Jean-François Boulicaut (IDA, 2005)

Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. - Jérémy Besson; Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (KDID, 2005)

A Bi-clustering Framework for Categorical Data. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (PKDD, 2005)

Constraint-based concept mining and its application to microarray data analysis. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut; Sophie Rome (Intell. Data Anal., 2005)

Introducing Softness into Inductive Queries on String Databases. - Ieva Mitasiunaite; Jean-François Boulicaut (DB&IS, 2006)

Feature Construction and delta-Free Sets in 0/1 Samples. - Nazha Selmaoui; Claire Leschi; Dominique Gay; Jean-François Boulicaut (Discovery Science, 2006)

Iterative Bayesian Network Implementation by Using Annotated Association Rules. - Clément Fauré; Sylvie Delprat; Jean-François Boulicaut; Alain Mille (EKAW, 2006)

Amélioration des indicateurs techniques pour l'analyse du marché financier. - Hunor Albert-Lorincz; Jean-François Boulicaut (EGC, 2006)

Utilisation des réseaux bayésiens dans le cadre de l'extraction de règles d'association. - Clément Fauré; Sylvie Delprat; Alain Mille; Jean-François Boulicaut (EGC, 2006)

Construction itérative d'un modèle de connaissance par l'exploitation de règles d'association. - Clément Fauré; Sylvie Delprat; Alain Mille; Jean-François Boulicaut (Actes d'IC, 2006)

Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (ICCS, 2006)

Towards Constrained Co-clustering in Ordered 0/1 Data Sets. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (ISMIS, 2006)

Mining Bi-sets in Numerical Data. - Jérémy Besson; Céline Robardet; Luc De Raedt; Jean-François Boulicaut (KDID, 2006)

Looking for monotonicity properties of a similarity constraint on sequences. - Ieva Mitasiunaite; Jean-François Boulicaut (SAC, 2006)

Supporting bi-cluster interpretation in 0/1 data by means of local patterns. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (Intell. Data Anal., 2006)

Pattern-based decision tree construction. - Dominique Gay; Nazha Selmaoui; Jean-François Boulicaut (ICDIM, 2007)

Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. - Sylvain Blachon; Ruggero G. Pensa; Jérémy Besson; Céline Robardet; Jean-François Boulicaut; Olivier Gandrillon (Silico Biol., 2007)

A Parameter-Free Associative Classification Method. - Loïc Cerf; Dominique Gay; Nazha Selmaoui; Jean-François Boulicaut (DaWaK, 2008)

Co-classification sous contraintes par la somme des résidus quadratiques. - Ruggero G. Pensa; Jean-François Boulicaut (EGC, 2008)

Parameter Tuning for Differential Mining of String Patterns. - Jérémy Besson; Christophe Rigotti; Ieva Mitasiunaite; Jean-François Boulicaut (ICDM Workshops, 2008)

If Constraint-Based Mining is the Answer: What is the Constraint? (Invited Talk). - Jean-François Boulicaut (ICDM Workshops, 2008)

Actionability and Formal Concepts: A Data Mining Perspective. - Jean-François Boulicaut; Jérémy Besson (ICFCA, 2008)

Feature Construction Based on Closedness Properties Is Not That Simple. - Dominique Gay; Nazha Selmaoui; Jean-François Boulicaut (PAKDD, 2008)

Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. - Loïc Cerf; Jérémy Besson; Céline Robardet; Jean-François Boulicaut (SDM, 2008)

Constrained Co-clustering of Gene Expression Data. - Ruggero G. Pensa; Jean-François Boulicaut (SDM, 2008)

Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction. - Ruggero G. Pensa; Jean-François Boulicaut (SEBD, 2008)

SQUAT: A web tool to mine human, murine and avian SAGE data. - Johan Leyritz; Stéphane Schicklin; Sylvain Blachon; Céline Keime; Céline Robardet; Jean-François Boulicaut; Jérémy Besson; Ruggero G. Pensa; Olivier Gandrillon (BMC Bioinform., 2008)

Agglomerating local patterns hierarchically with ALPHA. - Loïc Cerf; Pierre-Nicolas Mougel; Jean-François Boulicaut (CIKM, 2009)

Extraction de motifs fermés dans des relations n-aires bruitées. - Loïc Cerf; Jérémy Besson; Jean-François Boulicaut (EGC, 2009)

Construction de descripteurs pour classer à partir d'exemples bruités. - Nazha Selmaoui; Dominique Gay; Jean-François Boulicaut (EGC, 2009)

Discovering Relevant Cross-Graph Cliques in Dynamic Networks. - Loïc Cerf; Tran Bao Nhan Nguyen; Jean-François Boulicaut (ISMIS, 2009)

Application-Independent Feature Construction from Noisy Samples. - Dominique Gay; Nazha Selmaoui; Jean-François Boulicaut (PAKDD, 2009)

Extracting Signature Motifs from Promoter Sets of Differentially Expressed Genes. - Ieva Mitasiunaite; Christophe Rigotti; Stéphane Schicklin; Laurène Meyniel; Jean-François Boulicaut; Olivier Gandrillon (Silico Biol., 2009)

Closed patterns meet n-ary relations. - Loïc Cerf; Jérémy Besson; Céline Robardet; Jean-François Boulicaut (ACM Trans. Knowl. Discov. Data, 2009)

Generalizing Itemset Mining in a Constraint Programming Setting. - Jérémy Besson; Jean-François Boulicaut; Tias Guns; Siegfried Nijssen (Inductive Databases and Constraint-Based Data Mining, 2010)

Mining Constrained Cross-Graph Cliques in Dynamic Networks. - Loïc Cerf; Tran Bao Nhan Nguyen; Jean-François Boulicaut (Inductive Databases and Constraint-Based Data Mining, 2010)

Using a Solver Over the String Pattern Domain to Analyze Gene Promoter Sequences. - Christophe Rigotti; Ieva Mitasiunaite; Jérémy Besson; Laurène Meyniel; Jean-François Boulicaut; Olivier Gandrillon (Inductive Databases and Constraint-Based Data Mining, 2010)

Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining. - Jérémy Besson; Ieva Mitasiunaite; Audrone Lupeikiene; Jean-François Boulicaut (BIS, 2010)

Discovering Inter-Dimensional Rules in Dynamic Graphs. - Kim-Ngan Nguyen; Loïc Cerf; Marc Plantevit; Jean-François Boulicaut (NyNaK, 2010)

Co-clustering numerical data under user-defined constraints. - Ruggero G. Pensa; Jean-François Boulicaut; Francesca Cordero; Maurizio Atzori (Stat. Anal. Data Min., 2010)

Constraint-based Data Mining. - Jean-François Boulicaut; Baptiste Jeudy (Data Mining and Knowledge Discovery Handbook, 2010)

Data Mining Query Languages. - Jean-François Boulicaut; Cyrille Masson (Data Mining and Knowledge Discovery Handbook, 2010)

Extraction sous contraintes d'ensembles de cliques homogènes. - Pierre-Nicolas Mougel; Marc Plantevit; Christophe Rigotti; Olivier Gandrillon; Jean-François Boulicaut (EGC, 2011)

Multidimensional Association Rules in Boolean Tensors. - Kim-Ngan Nguyen; Loïc Cerf; Marc Plantevit; Jean-François Boulicaut (SDM, 2011)

Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. - Elise Desmier; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (Discovery Science, 2012)

Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. - Adriana Prado; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (EGC, 2012)

Extraction d'arbres spatio-temporels d'itemsets pour le suivi environnemental. - Jérémy Sanhes; Frédéric Flouvat; Nazha Selmaoui-Folcher; Jean-François Boulicaut (EGC, 2012)

Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. - Julien Salotti; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (ICDM Workshops, 2012)

Mining Disjunctive Rules in Dynamic Graphs. - Kim-Ngan Nguyen; Marc Plantevit; Jean-François Boulicaut (RIVF, 2012)

Application-independent feature construction based on almost-closedness properties. - Dominique Gay; Nazha Selmaoui-Folcher; Jean-François Boulicaut (Knowl. Inf. Syst., 2012)

Extraction de motifs condensés dans un unique graphe orienté acyclique attribué. - Jérémy Sanhes; Frédéric Flouvat; Claude Pasquier; Nazha Selmaoui-Folcher; Jean-François Boulicaut (EGC, 2013)

Weighted Path as a Condensed Pattern in a Single Attributed DAG. - Jérémy Sanhes; Frédéric Flouvat; Claude Pasquier; Nazha Selmaoui-Folcher; Jean-François Boulicaut (IJCAI, 2013)

Strategic Patterns Discovery in RTS-games for E-Sport with Sequential Pattern Mining. - Guillaume Bosc; Mehdi Kaytoue; Chedy Raïssi; Jean-François Boulicaut (MLSA@PKDD/ECML, 2013)

Trend Mining in Dynamic Attributed Graphs. - Elise Desmier; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (ECML/PKDD (1), 2013)

Closed and noise-tolerant patterns in n-ary relations. - Loïc Cerf; Jérémy Besson; Kim-Ngan Nguyen; Jean-François Boulicaut (Data Min. Knowl. Discov., 2013)

Parameter-free classification in multi-class imbalanced data sets. - Loïc Cerf; Dominique Gay; Nazha Selmaoui-Folcher; Bruno Crémilleux; Jean-François Boulicaut (Data Knowl. Eng., 2013)

Discovering descriptive rules in relational dynamic graphs. - Kim-Ngan Nguyen; Loïc Cerf; Marc Plantevit; Jean-François Boulicaut (Intell. Data Anal., 2013)

Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors. - Adriana Prado; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (IEEE Trans. Knowl. Data Eng., 2013)

A method for characterizing communities in dynamic attributed complex networks. - Günce Keziban Orman; Vincent Labatut; Marc Plantevit; Jean-François Boulicaut (ASONAM, 2014)

Mining Balanced Sequential Patterns in RTS Games. - Guillaume Bosc; Mehdi Kaytoue-Uberall; Chedy Raïssi; Jean-François Boulicaut; Philip Tan (ECAI, 2014)

Improving pattern discovery relevancy by deriving constraints from expert models. - Frédéric Flouvat; Jérémy Sanhes; Claude Pasquier; Nazha Selmaoui-Folcher; Jean-François Boulicaut (ECAI, 2014)

Fouille de motifs séquentiels pour l'élicitation de stratégies à partir de traces d'interactions entre agents en compétition. - Guillaume Bosc; Mehdi Kaytoue-Uberall; Chedy Raïssi; Jean-François Boulicaut (EGC, 2014)

Granularité des motifs de co-variations dans des graphes attribués dynamiques. - Elise Desmier; Marc Plantevit; Jean-François Boulicaut (EGC, 2014)

Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. - Günce Keziban Orman; Vincent Labatut; Marc Plantevit; Jean-François Boulicaut (EGC, 2014)

Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. - Elise Desmier; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (IDA, 2014)

When cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliases. - Olivier Cavadenti; Víctor Codocedo; Jean-François Boulicaut; Mehdi Kaytoue (DSAA, 2015)

Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs. - Guillaume Bosc; Mehdi Kaytoue; Marc Plantevit; Fabien De Marchi; Moustafa Bensafi; Jean-François Boulicaut (EGC, 2015)

Extraction complète efficace de chemins pondérés dans un a-DAG. - Nazha Selmaoui-Folcher; Frédéric Flouvat; Chengcheng Mu; Jérémy Sanhes; Jean-François Boulicaut (EGC, 2015)

Profiling Users of the Velo'v Bike Sharing System. - Albrecht Zimmermann; Mehdi Kaytoue; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (MUD@ICML, 2015)

Identifying Avatar Aliases in StarCraft 2. - Olivier Cavadenti; Víctor Codocedo; Mehdi Kaytoue; Jean-François Boulicaut (MLSA@PKDD/ECML, 2015)

Interpreting communities based on the evolution of a dynamic attributed network. - Günce Keziban Orman; Vincent Labatut; Marc Plantevit; Jean-François Boulicaut (Soc. Netw. Anal. Min., 2015)

Local Pattern Detection in Attributed Graphs. - Jean-François Boulicaut; Marc Plantevit; Céline Robardet (Solving Large Scale Learning Tasks, 2016)

Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. - Guillaume Bosc; Jérôme Golebiowski; Moustafa Bensafi; Céline Robardet; Marc Plantevit; Jean-François Boulicaut; Mehdi Kaytoue (DS, 2016)

What Did I Do Wrong in My MOBA Game? Mining Patterns Discriminating Deviant Behaviours. - Olivier Cavadenti; Víctor Codocedo; Jean-François Boulicaut; Mehdi Kaytoue (DSAA, 2016)

Découverte de motifs intelligibles et caractéristiques d'anomalies dans les traces unitaires. - Olivier Cavadenti; Víctor Codocedo; Mehdi Kaytoue; Jean-François Boulicaut (EGC, 2016)

h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. - Guillaume Bosc; Marc Plantevit; Jean-François Boulicaut; Moustafa Bensafi; Mehdi Kaytoue (ECML/PKDD (3), 2016)

Any-time Diverse Subgroup Discovery with Monte Carlo Tree Search. - Guillaume Bosc; Chedy Raïssi; Jean-François Boulicaut; Mehdi Kaytoue (CoRR, 2016)

Découverte de sous-groupes avec les arbres de recherche de Monte Carlo. - Guillaume Bosc; Jean-François Boulicaut; Chedy Raïssi; Mehdi Kaytoue (EGC, 2017)

A Proposition for Sequence Mining Using Pattern Structures. - Víctor Codocedo; Guillaume Bosc; Mehdi Kaytoue; Jean-François Boulicaut; Amedeo Napoli (ICFCA, 2017)

A Pattern Mining Approach to Study Strategy Balance in RTS Games. - Guillaume Bosc; Philip Tan; Jean-François Boulicaut; Chedy Raïssi; Mehdi Kaytoue (IEEE Trans. Comput. Intell. AI Games, 2017)

Anytime discovery of a diverse set of patterns with Monte Carlo tree search. - Guillaume Bosc; Jean-François Boulicaut; Chedy Raïssi; Mehdi Kaytoue (Data Min. Knowl. Discov., 2018)

SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences. - Romain Mathonat; Diana Nurbakova; Jean-François Boulicaut; Mehdi Kaytoue (DSAA, 2019)

Découverte de sous-groupes à partir de données séquentielles par échantillonnage et optimisation locale. - Romain Mathonat; Jean-François Boulicaut; Mehdi Kaytoue (EGC, 2019)

A Behavioral Pattern Mining Approach to Model Player Skills in Rocket League. - Romain Mathonat; Jean-François Boulicaut; Mehdi Kaytoue (CoG, 2020)

Découverte d'un sous-groupe optimal dans des données purement numériques. - Alexandre Millot; Rémy Cazabet; Jean-François Boulicaut (EGC, 2020)

Actionable Subgroup Discovery and Urban Farm Optimization. - Alexandre Millot; Romain Mathonat; Rémy Cazabet; Jean-François Boulicaut (IDA, 2020)

Optimal Subgroup Discovery in Purely Numerical Data. - Alexandre Millot; Rémy Cazabet; Jean-François Boulicaut (PAKDD (2), 2020)

Mining evolutions of complex spatial objects using a single-attributed Directed Acyclic Graph. - Frédéric Flouvat; Nazha Selmaoui-Folcher; Jérémy Sanhes; Chengcheng Mu; Claude Pasquier; Jean-François Boulicaut (Knowl. Inf. Syst., 2020)

Anytime Subgroup Discovery in High Dimensional Numerical Data. - Romain Mathonat; Diana Nurbakova; Jean-François Boulicaut; Mehdi Kaytoue (DSAA, 2021)

Exceptional Model Mining meets Multi-objective Optimization. - Alexandre Millot; Rémy Cazabet; Jean-François Boulicaut (SDM, 2021)

Anytime mining of sequential discriminative patterns in labeled sequences. - Romain Mathonat; Diana Nurbakova; Jean-François Boulicaut; Mehdi Kaytoue (Knowl. Inf. Syst., 2021)