Christel Vrain

92 papers A* 4A 8B 15C 6Misc 1Journal 20Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing concept-based image classification via knowledge reasoning. Knowl. Based Syst. Franck Anaël Mbiaya, Frédéric Ros, Christel Vrain, Thi-Bich-Hanh Dao, Yves Lucas
2026	B	`conf`	Heterogeneous Pattern Sampling According to Frequency. IDA Rayane Lachache, Djawad Bekkoucha, Abdelkader Ouali, Bruno Crémilleux, Thi-Bich-Hanh Dao, Christel Vrain
2025	B	`conf`	A Constrained Declarative Based Approach for Explainable Clustering. IDA Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao
2025	Misc	`conf`	Features Leverage in Graph Models for Mineral Prospectivity Mapping. SAC Thi Hai Yen Vu, Thi-Bich-Hanh Dao, Vincent Nguyen, Christel Vrain, Hugo Breuillard
2025	A	`conf`	Memory-efficient Continual Learning with Neural Collapse Contrastive. WACV Trung-Anh Dang, Vincent Nguyen, Ngoc-Son Vu, Christel Vrain
2025	J	`jnl`	SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse. CoRR Trung-Anh Dang, Vincent Nguyen, Ngoc-Son Vu, Christel Vrain
2025	—	`conf`	Une approche déclarative pour le clustering explicable sous contraintes. EGC Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao
2024	J	`jnl`	A review on declarative approaches for constrained clustering. Int. J. Approx. Reason. Thi-Bich-Hanh Dao, Christel Vrain
2024	J	`jnl`	Knowledge graph-based image classification. Data Knowl. Eng. Franck Anaël Mbiaya, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas
2024	J	`jnl`	Memory-efficient Continual Learning with Neural Collapse Contrastive. CoRR Trung-Anh Dang, Vincent Nguyen, Ngoc-Son Vu, Christel Vrain
2024	B	`conf`	Rule-Based Constraint Elicitation For Active Constraint-Incremental Clustering. ICTAI Aymeric Beauchamp, Thi-Bich-Hanh Dao, Samir Loudni, Christel Vrain
2024	J	`jnl`	Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain
2024	J	`jnl`	Towards Explainable Clustering: A Constrained Declarative based Approach. CoRR Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao
2023	A	`conf`	Incremental Constrained Clustering by Minimal Weighted Modification. CP Aymeric Beauchamp, Thi-Bich-Hanh Dao, Samir Loudni, Christel Vrain
2023	—	`conf`	KGIC : Intégration de graphe de connaissances pour la classification d'images. EGC Franck Anaël Mbiaya, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas
2022	B	`conf`	Anchored Constrained Clustering Ensemble. IJCNN Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto
2022	—	`conf`	Knowledge Integration in Deep Clustering. ECML/PKDD (1) Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao
2022	—	`conf`	Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets. ICPRAI (1) Antoine Guillaume, Christel Vrain, Wael Elloumi
2021	J	`jnl`	Convolutional Shapelet Transform: A new approach for time series shapelets. CoRR Antoine Guillaume, Christel Vrain, Wael Elloumi
2020	B	`conf`	Constrained Clustering via Post-processing. DS Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson
2020	—	`ch.`	Designing Algorithms for Machine Learning and Data Mining. A Guided Tour of Artificial Intelligence Research (2) (II) Antoine Cornuéjols, Christel Vrain
2020	—	`conf`	Post-traitement pour la classification probabiliste non supervisée sous contraintes. EGC Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson
2020	J	`jnl`	Time series classification for predictive maintenance on event logs. CoRR Antoine Guillaume, Christel Vrain, Wael Elloumi
2019	J	`jnl`	Constrained Distance-Based Clustering for Satellite Image Time-Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Thomas Andrew Lampert, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Nicolas Serrette, Christel Vrain, Pierre Gançarski
2019	J	`jnl`	From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain
2019	J	`jnl`	Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. Mach. Learn. Nicolas Lachiche, Christel Vrain, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese
2018	J	`jnl`	Constrained distance based clustering for time-series: a comparative and experimental study. Data Min. Knowl. Discov. Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski
2018	A*	`conf`	Descriptive Clustering: ILP and CP Formulations with Applications. IJCAI Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson
2018	B	`ed.`	Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers ILP Nicolas Lachiche, Christel Vrain
2018	—	`ed.`	Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, Orléans, France, September 4-6, 2017. ILP (Late Breaking Papers) Nicolas Lachiche, Christel Vrain
2018	J	`jnl`	MapFIM+: Memory Aware Parallelized Frequent Itemset Mining In Very Large Datasets. Trans. Large Scale Data Knowl. Centered Syst. Khanh-Chuong Duong, Mostafa Bamha, Arnaud Giacometti, Dominique Li, Arnaud Soulet, Christel Vrain
2017	A*	`conf`	A Framework for Minimal Clustering Modification via Constraint Programming. AAAI Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson
2017	J	`jnl`	Constrained clustering by constraint programming. Artif. Intell. Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
2017	—	`conf`	MapFIM: Memory Aware Parallelized Frequent Itemset Mining in Very Large Datasets. DEXA (1) Khanh-Chuong Duong, Mostafa Bamha, Arnaud Giacometti, Dominique Li, Arnaud Soulet, Christel Vrain
2016	A	`conf`	A Framework for Actionable Clustering Using Constraint Programming. ECAI Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong, Ian Davidson
2016	A	`conf`	Repetitive Branch-and-Bound Using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering. ECAI Tias Guns, Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong
2015	A	`conf`	Constrained Minimum Sum of Squares Clustering by Constraint Programming. CP Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
2015	—	`conf`	Learning Characteristic Rules in Geographic Information Systems. RuleML Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard
2014	—	`conf`	Apprentissage non supervisé de dépendances syntaxiques à partir de texte étiqueté, plusieurs variantes de PCFG légères. EGC Marie Arcadias, Guillaume Cleuziou, Edmond Lassalle, Christel Vrain
2014	J	`jnl`	Un nouveau modèle pour la classification non supervisée sous contraintes. Rev. d'Intelligence Artif. Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
2013	—	`conf`	A Declarative Framework for Constrained Clustering. ECML/PKDD (3) Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
2013	B	`conf`	A Filtering Algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion. ICTAI Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
2013	—	`ed.`	Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier - 01 février 2013, Toulouse, France EGC Christel Vrain, André Péninou, Florence Sèdes
2013	J	`jnl`	Learning a Markov Logic network for supervised gene regulatory network inference. BMC Bioinform. Céline Brouard, Christel Vrain, Julie Dubois, David Castel, Marie-Anne Debily, Florence d'Alché-Buc
2013	J	`jnl`	QuantMiner for mining quantitative association rules. J. Mach. Learn. Res. Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, Daniel Cassard
2013	—	`conf`	Une approche en programmation par contraintes pour la classification non supervisée. EGC Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
2012	—	`conf`	A Link-Based Method for Propositionalization. ILP (Late Breaking Papers) Quang-Thang Dinh, Christel Vrain, Matthieu Exbrayat
2011	—	`conf`	Apprentissage génératif de la structure de réseaux logiques de Markov à partir d'un graphe des prédicats. EGC Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
2011	A*	`conf`	Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates. IJCAI Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
2010	—	`conf`	Abstracting Markov Networks. Abstraction, Reformulation, and Approximation Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu
2010	—	`conf`	Discriminative Markov Logic Network Structure Learning Based on Propositionalization and ADMA (1) Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
2010	—	`conf`	Generative Structure Learning for Markov Logic Networks. STAIRS Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
2010	C	`conf`	Heuristic Method for Discriminative Structure Learning of Markov Logic Networks. ICMLA Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
2010	B	`conf`	Learning Discriminant Rules as a Minimal Saturation Search. ILP Matthieu Lopez, Lionel Martin, Christel Vrain
2010	—	`conf`	On Learning Constraint Problems. ICTAI (1) Arnaud Lallouet, Matthieu Lopez, Lionel Martin, Christel Vrain
2008	B	`conf`	A Comparison between Two Statistical Relational Models. ILP Lorenza Saitta, Christel Vrain
2007	J	`jnl`	A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases. Fundam. Informaticae Ansaf Salleb-Aouissi, Christel Vrain
2007	—	`ch.`	On the Discovery of Exception Rules: A Survey. Quality Measures in Data Mining Béatrice Duval, Ansaf Salleb, Christel Vrain
2007	A*	`conf`	QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. IJCAI Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet
2006	C	`conf`	A Proximity Measure and a Clustering Method for Concept Extraction in an Ontology Building Perspective. ISMIS Guillaume Cleuziou, Sylvie Billot, Stanislas Lew, Lionel Martin, Christel Vrain
2006	B	`conf`	Structuring Natural Language Data by Learning Rewriting Rules. ILP Guillaume Cleuziou, Lionel Martin, Christel Vrain
2006	—	`conf`	Une mesure de proximité et une méthode de regroupement pour l'aide à l'acquisition d'ontologies spécialisées. EGC Guillaume Cleuziou, Sylvie Billot, Stanislas Lew, Lionel Martin, Christel Vrain
2005	C	`conf`	Estimation of the Density of Datasets with Decision Diagrams. ISMIS Ansaf Salleb, Christel Vrain
2005	—	`conf`	Extraction de règles d'association quantitatives - Application à des données médicales. EGC Cyril Nortet, Ansaf Salleb, Teddy Turmeaux, Christel Vrain
2005	—	`conf`	Le rôle de l'utilisateur dans un processus d'extraction de règles d'association. EGC (Ateliers) Cyril Nortet, Ansaf Salleb-Aouissi, Teddy Turmeaux, Christel Vrain
2004	—	`conf`	BoolLoader : un chargeur efficace dédié aux bases de transactions denses. EGC Zahir Maazouzi, Ansaf Salleb, Christel Vrain
2004	C	`conf`	DDOC: Overlapping Clustering of Words for Document Classification. SPIRE Guillaume Cleuziou, Lionel Martin, Viviane Clavier, Christel Vrain
2004	—	`conf`	PoBOC : un algorithme de "soft-clustering". Applications à l'apprentissage de règles et au traitement de données textuelles. EGC Guillaume Cleuziou, Lionel Martin, Christel Vrain
2004	A	`conf`	PoBOC: An Overlapping Clustering Algorithm, Application to Rule-Based Classification and Textual Data. ECAI Guillaume Cleuziou, Lionel Martin, Christel Vrain
2003	—	`conf`	Apprentissage de règles caractéristiques. EGC Teddy Turmeaux, Daniel Cassard, Ansaf Salleb, Christel Vrain
2003	B	`conf`	Disjunctive Learning with a Soft-Clustering Method. ILP Guillaume Cleuziou, Lionel Martin, Christel Vrain
2003	—	`conf`	Learning Characteristic Rules Relying on Quantified Paths. PKDD Teddy Turmeaux, Ansaf Salleb, Christel Vrain, Daniel Cassard
2002	A	`conf`	Mining maximal frequent itemsets by a boolean approach. ECAI Ansaf Salleb, Zahir Maazouzi, Christel Vrain
2001	B	`conf`	A Genetic Algorithm for Propositionalization. ILP Agnès Braud, Christel Vrain
2001	—	`conf`	Cartographie de Textes: Une aide à l'utilisateur dans le cadre de la découverte de nouveaux domaines. TALN (Posters) Isabelle Debourges, Sylvie Guilloré-Billot, Christel Vrain
2000	—	`conf`	An Application of Association Rules Discovery to Geographic Information Systems. PKDD Ansaf Salleb, Christel Vrain
2000	—	`conf`	Composition of Biasses of Inductive Logic Programming. ILP Work-in-progress reports Frédéric Moal, Christel Vrain
2000	—	`conf`	Mining Relational Databases. PKDD Frédéric Moal, Teddy Turmeaux, Christel Vrain
1999	B	`conf`	Learning in Constraint Databases. Discovery Science Teddy Turmeaux, Christel Vrain
1998	—	`conf`	A Relational Data Mining Tool Based On Genetic Programming. PKDD Lionel Martin, Frédéric Moal, Christel Vrain
1997	C	`conf`	Efficient Induction of Numerical Constraints. ISMIS Lionel Martin, Christel Vrain
1997	—	`conf`	Learning Linear Constraints in Inductive Logic Programming. ECML Lionel Martin, Christel Vrain
1997	B	`conf`	Systematic Predicate Invention in Inductive Logic Programming. ILP Lionel Martin, Christel Vrain
1996	C	`conf`	Hierarchical Conceptual Clustering in a First Order Representation. ISMIS Christel Vrain
1996	B	`conf`	Induction of Constraint Logic Programs. ALT Lionel Martin, Christel Vrain
1996	—	`conf`	Learning Query Rules for Optimizing Databases with Update Rules. Logic in Databases Dominique Laurent, Christel Vrain
1995	—	`conf`	Apprentissage de Règles et Bases de Données Déductives. BDA Christel Vrain, Dominique Laurent
1994	—	`conf`	Inductive Learning of Normal Clauses. ECML Christel Vrain, Lionel Martin
1993	J	`jnl`	Acquiring first-order knowledge about air traffic control. Knowl. Acquis. Yves Kodratoff, Christel Vrain
1992	A	`conf`	Building a Tool for Software Code Analysis: A Machine Learning Approach. CAiSE Gilles Fouqué, Christel Vrain
1988	—	`conf`	An Analogical Method to do Incremental Learning of Concepts. EWSL Christel Vrain, Cheng-Ren Lu
1987	—	`conf`	The Use of Analogy in Incremental SBL. Knowledge Representation and Organization in Machine Learning Christel Vrain, Yves Kodratoff