The Use of Analogy in Incremental SBL. - Christel Vrain; Yves Kodratoff (Knowledge Representation and Organization in Machine Learning, 1987)

An Analogical Method to do Incremental Learning of Concepts. - Christel Vrain; Cheng-Ren Lu (EWSL, 1988)

Building a Tool for Software Code Analysis: A Machine Learning Approach. - Gilles Fouqué; Christel Vrain (CAiSE, 1992)

Acquiring first-order knowledge about air traffic control. - Yves Kodratoff; Christel Vrain (Knowl. Acquis., 1993)

Inductive Learning of Normal Clauses. - Christel Vrain; Lionel Martin (ECML, 1994)

Apprentissage de Règles et Bases de Données Déductives. - Christel Vrain; Dominique Laurent 001 (BDA, 1995)

Induction of Constraint Logic Programs. - Lionel Martin; Christel Vrain (ALT, 1996)

Hierarchical Conceptual Clustering in a First Order Representation. - Christel Vrain (ISMIS, 1996)

Learning Query Rules for Optimizing Databases with Update Rules. - Dominique Laurent 001; Christel Vrain (Logic in Databases, 1996)

Learning Linear Constraints in Inductive Logic Programming. - Lionel Martin; Christel Vrain (ECML, 1997)

Systematic Predicate Invention in Inductive Logic Programming. - Lionel Martin; Christel Vrain (ILP, 1997)

Efficient Induction of Numerical Constraints. - Lionel Martin; Christel Vrain (ISMIS, 1997)

A Relational Data Mining Tool Based On Genetic Programming. - Lionel Martin; Frédéric Moal; Christel Vrain (PKDD, 1998)

Learning in Constraint Databases. - Teddy Turmeaux; Christel Vrain (Discovery Science, 1999)

Composition of Biasses of Inductive Logic Programming. - Frédéric Moal; Christel Vrain (ILP Work-in-progress reports, 2000)

Mining Relational Databases. - Frédéric Moal; Teddy Turmeaux; Christel Vrain (PKDD, 2000)

An Application of Association Rules Discovery to Geographic Information Systems. - Ansaf Salleb; Christel Vrain (PKDD, 2000)

A Genetic Algorithm for Propositionalization. - Agnès Braud; Christel Vrain (ILP, 2001)

Cartographie de Textes: Une aide à l'utilisateur dans le cadre de la découverte de nouveaux domaines. - Isabelle Debourges; Sylvie Guilloré-Billot; Christel Vrain (TALN (Posters), 2001)

Mining maximal frequent itemsets by a boolean approach. - Ansaf Salleb; Zahir Maazouzi; Christel Vrain (ECAI, 2002)

Apprentissage de règles caractéristiques. - Teddy Turmeaux; Daniel Cassard; Ansaf Salleb; Christel Vrain (EGC, 2003)

Disjunctive Learning with a Soft-Clustering Method. - Guillaume Cleuziou; Lionel Martin; Christel Vrain (ILP, 2003)

Learning Characteristic Rules Relying on Quantified Paths. - Teddy Turmeaux; Ansaf Salleb; Christel Vrain; Daniel Cassard (PKDD, 2003)

PoBOC: An Overlapping Clustering Algorithm, Application to Rule-Based Classification and Textual Data. - Guillaume Cleuziou; Lionel Martin; Christel Vrain (ECAI, 2004)

PoBOC : un algorithme de "soft-clustering". Applications à l'apprentissage de règles et au traitement de données textuelles. - Guillaume Cleuziou; Lionel Martin; Christel Vrain (EGC, 2004)

BoolLoader : un chargeur efficace dédié aux bases de transactions denses. - Zahir Maazouzi; Ansaf Salleb; Christel Vrain (EGC, 2004)

DDOC: Overlapping Clustering of Words for Document Classification. - Guillaume Cleuziou; Lionel Martin; Viviane Clavier; Christel Vrain (SPIRE, 2004)

Extraction de règles d'association quantitatives - Application à des données médicales. - Cyril Nortet; Ansaf Salleb; Teddy Turmeaux; Christel Vrain (EGC, 2005)

Le rôle de l'utilisateur dans un processus d'extraction de règles d'association. - Cyril Nortet; Ansaf Salleb-Aouissi; Teddy Turmeaux; Christel Vrain (EGC (Ateliers), 2005)

Estimation of the Density of Datasets with Decision Diagrams. - Ansaf Salleb; Christel Vrain (ISMIS, 2005)

Une mesure de proximité et une méthode de regroupement pour l'aide à l'acquisition d'ontologies spécialisées. - Guillaume Cleuziou; Sylvie Billot; Stanislas Lew; Lionel Martin; Christel Vrain (EGC, 2006)

Structuring Natural Language Data by Learning Rewriting Rules. - Guillaume Cleuziou; Lionel Martin; Christel Vrain (ILP, 2006)

A Proximity Measure and a Clustering Method for Concept Extraction in an Ontology Building Perspective. - Guillaume Cleuziou; Sylvie Billot; Stanislas Lew; Lionel Martin; Christel Vrain (ISMIS, 2006)

QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. - Ansaf Salleb-Aouissi; Christel Vrain; Cyril Nortet (IJCAI, 2007)

A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases. - Ansaf Salleb-Aouissi; Christel Vrain (Fundam. Informaticae, 2007)

On the Discovery of Exception Rules: A Survey. - Béatrice Duval; Ansaf Salleb; Christel Vrain (Quality Measures in Data Mining, 2007)

A Comparison between Two Statistical Relational Models. - Lorenza Saitta; Christel Vrain (ILP, 2008)

Abstracting Markov Networks. - Lorenza Saitta; Christel Vrain; Zhaohui Wu 003; Lu Jiang 001; Qinghua Zheng; Jun Liu 002 (Abstraction, Reformulation, and Approximation, 2010)

Discriminative Markov Logic Network Structure Learning Based on Propositionalization and chi2-Test. - Quang-Thang Dinh; Matthieu Exbrayat; Christel Vrain (ADMA (1), 2010)

Heuristic Method for Discriminative Structure Learning of Markov Logic Networks. - Quang-Thang Dinh; Matthieu Exbrayat; Christel Vrain (ICMLA, 2010)

On Learning Constraint Problems. - Arnaud Lallouet; Matthieu Lopez; Lionel Martin; Christel Vrain (ICTAI (1), 2010)

Learning Discriminant Rules as a Minimal Saturation Search. - Matthieu Lopez; Lionel Martin; Christel Vrain (ILP, 2010)

Generative Structure Learning for Markov Logic Networks. - Quang-Thang Dinh; Matthieu Exbrayat; Christel Vrain (STAIRS, 2010)

Apprentissage génératif de la structure de réseaux logiques de Markov à partir d'un graphe des prédicats. - Quang-Thang Dinh; Matthieu Exbrayat; Christel Vrain (EGC, 2011)

Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates. - Quang-Thang Dinh; Matthieu Exbrayat; Christel Vrain (IJCAI, 2011)

A Link-Based Method for Propositionalization. - Quang-Thang Dinh; Christel Vrain; Matthieu Exbrayat (ILP (Late Breaking Papers), 2012)

Une approche en programmation par contraintes pour la classification non supervisée. - Thi-Bich-Hanh Dao; Khanh-Chuong Duong; Christel Vrain (EGC, 2013)

A Filtering Algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion. - Thi-Bich-Hanh Dao; Khanh-Chuong Duong; Christel Vrain (ICTAI, 2013)

A Declarative Framework for Constrained Clustering. - Thi-Bich-Hanh Dao; Khanh-Chuong Duong; Christel Vrain (ECML/PKDD (3), 2013)

Learning a Markov Logic network for supervised gene regulatory network inference. - Céline Brouard; Christel Vrain; Julie Dubois; David Castel; Marie-Anne Debily; Florence d'Alché-Buc (BMC Bioinform., 2013)

QuantMiner for mining quantitative association rules. - Ansaf Salleb-Aouissi; Christel Vrain; Cyril Nortet; Xiangrong Kong; Vivek Rathod; Daniel Cassard (J. Mach. Learn. Res., 2013)

Apprentissage non supervisé de dépendances syntaxiques à partir de texte étiqueté, plusieurs variantes de PCFG légères. - Marie Arcadias; Guillaume Cleuziou; Edmond Lassalle; Christel Vrain (EGC, 2014)

Un nouveau modèle pour la classification non supervisée sous contraintes. - Thi-Bich-Hanh Dao; Khanh-Chuong Duong; Christel Vrain (Rev. d'Intelligence Artif., 2014)

Constrained Minimum Sum of Squares Clustering by Constraint Programming. - Thi-Bich-Hanh Dao; Khanh-Chuong Duong; Christel Vrain (CP, 2015)

Learning Characteristic Rules in Geographic Information Systems. - Ansaf Salleb-Aouissi; Christel Vrain; Daniel Cassard (RuleML, 2015)

A Framework for Actionable Clustering Using Constraint Programming. - Thi-Bich-Hanh Dao; Christel Vrain; Khanh-Chuong Duong; Ian Davidson (ECAI, 2016)

Repetitive Branch-and-Bound Using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering. - Tias Guns; Thi-Bich-Hanh Dao; Christel Vrain; Khanh-Chuong Duong (ECAI, 2016)

A Framework for Minimal Clustering Modification via Constraint Programming. - Chia-Tung Kuo; S. S. Ravi; Thi-Bich-Hanh Dao; Christel Vrain; Ian Davidson (AAAI, 2017)

Constrained clustering by constraint programming. - Thi-Bich-Hanh Dao; Khanh-Chuong Duong; Christel Vrain (Artif. Intell., 2017)

Descriptive Clustering: ILP and CP Formulations with Applications. - Thi-Bich-Hanh Dao; Chia-Tung Kuo; S. S. Ravi; Christel Vrain; Ian Davidson (IJCAI, 2018)

Constrained distance based clustering for time-series: a comparative and experimental study. - Thomas Andrew Lampert; Thi-Bich-Hanh Dao; Baptiste Lafabregue; Nicolas Serrette; Germain Forestier; Bruno Crémilleux; Christel Vrain; Pierre Gançarski (Data Min. Knowl. Discov., 2018)

MapFIM+: Memory Aware Parallelized Frequent Itemset Mining In Very Large Datasets. - Khanh-Chuong Duong; Mostafa Bamha; Arnaud Giacometti; Dominique Li; Arnaud Soulet; Christel Vrain (Trans. Large Scale Data Knowl. Centered Syst., 2018)

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). - Zied Bouraoui; Antoine Cornuéjols; Thierry Denoeux; Sébastien Destercke; Didier Dubois; Romain Guillaume; João Marques-Silva 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; Christel Vrain (CoRR, 2019)

Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. - Nicolas Lachiche; Christel Vrain; Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese (Mach. Learn., 2019)

Constrained Distance-Based Clustering for Satellite Image Time-Series. - Thomas Andrew Lampert; Baptiste Lafabregue; Thi-Bich-Hanh Dao; Nicolas Serrette; Christel Vrain; Pierre Gançarski (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Designing Algorithms for Machine Learning and Data Mining. - Antoine Cornuéjols; Christel Vrain (A Guided Tour of Artificial Intelligence Research (2) (II), 2020)

Constrained Clustering via Post-processing. - Nguyen-Viet-Dung Nghiem; Christel Vrain; Thi-Bich-Hanh Dao; Ian Davidson (DS, 2020)

Post-traitement pour la classification probabiliste non supervisée sous contraintes. - Nguyen-Viet-Dung Nghiem; Christel Vrain; Thi-Bich-Hanh Dao; Ian Davidson (EGC, 2020)

Time series classification for predictive maintenance on event logs. - Antoine Guillaume; Christel Vrain; Wael Elloumi (CoRR, 2020)

Convolutional Shapelet Transform: A new approach for time series shapelets. - Antoine Guillaume; Christel Vrain; Wael Elloumi (CoRR, 2021)

Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets. - Antoine Guillaume; Christel Vrain; Wael Elloumi (ICPRAI (1), 2022)

Anchored Constrained Clustering Ensemble. - Mathieu Guilbert; Christel Vrain; Thi-Bich-Hanh Dao; Marcilio C. P. de Souto (IJCNN, 2022)

Knowledge Integration in Deep Clustering. - Nguyen-Viet-Dung Nghiem; Christel Vrain; Thi-Bich-Hanh Dao (ECML/PKDD (1), 2022)

Incremental Constrained Clustering by Minimal Weighted Modification. - Aymeric Beauchamp; Thi-Bich-Hanh Dao; Samir Loudni; Christel Vrain (CP, 2023)

KGIC : Intégration de graphe de connaissances pour la classification d'images. - Franck Anaël Mbiaya; Christel Vrain; Frédéric Ros; Thi-Bich-Hanh Dao; Yves Lucas (EGC, 2023)

Rule-Based Constraint Elicitation For Active Constraint-Incremental Clustering. - Aymeric Beauchamp; Thi-Bich-Hanh Dao; Samir Loudni; Christel Vrain (ICTAI, 2024)

Towards Explainable Clustering: A Constrained Declarative based Approach. - Mathieu Guilbert; Christel Vrain; Thi-Bich-Hanh Dao (CoRR, 2024)

Knowledge graph-based image classification. - Franck Anaël Mbiaya; Christel Vrain; Frédéric Ros; Thi-Bich-Hanh Dao; Yves Lucas (Data Knowl. Eng., 2024)

Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. - Ismaïl Baaj; Zied Bouraoui; Antoine Cornuéjols; Thierry Denoeux; Sébastien Destercke; Didier Dubois; Marie-Jeanne Lesot; João Marques-Silva 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; et al. (Int. J. Approx. Reason., 2024)

A review on declarative approaches for constrained clustering. - Thi-Bich-Hanh Dao; Christel Vrain (Int. J. Approx. Reason., 2024)

Une approche déclarative pour le clustering explicable sous contraintes. - Mathieu Guilbert; Christel Vrain; Thi-Bich-Hanh Dao (EGC, 2025)

A Constrained Declarative Based Approach for Explainable Clustering. - Mathieu Guilbert; Christel Vrain; Thi-Bich-Hanh Dao (IDA, 2025)

Features Leverage in Graph Models for Mineral Prospectivity Mapping. - Thi Hai Yen Vu; Thi-Bich-Hanh Dao; Vincent Nguyen 001; Christel Vrain; Hugo Breuillard (SAC, 2025)

Memory-efficient Continual Learning with Neural Collapse Contrastive. - Trung-Anh Dang; Vincent Nguyen 001; Ngoc-Son Vu; Christel Vrain (WACV, 2025)