Christel Vrain

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 24

Top Topics

Pair Wise Constraints

Constraint Programming

Constrained Clustering

Top Venues

Int. J. Approx. Reason.

Publications

Franck Anaël Mbiaya, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas
Knowledge graph-based image classification. Data Knowl. Eng. 151 (2024)
Thi-Bich-Hanh Dao, Christel Vrain
A review on declarative approaches for constrained clustering. Int. J. Approx. Reason. 171 (2024)
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
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. 171 (2024)
Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao
Towards Explainable Clustering: A Constrained Declarative based Approach. CoRR (2024)
Aymeric Beauchamp, Thi-Bich-Hanh Dao, Samir Loudni, Christel Vrain
Incremental Constrained Clustering by Minimal Weighted Modification. CP (2023)
Franck Anaël Mbiaya, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas
KGIC : Intégration de graphe de connaissances pour la classification d'images. EGC (2023)
Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao
Knowledge Integration in Deep Clustering. ECML/PKDD (1) (2022)
Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto
Anchored Constrained Clustering Ensemble. IJCNN (2022)
Antoine Guillaume, Christel Vrain, Wael Elloumi
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets. ICPRAI (1) (2022)
Antoine Guillaume, Christel Vrain, Wael Elloumi
Convolutional Shapelet Transform: A new approach for time series shapelets. CoRR (2021)
Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson
Constrained Clustering via Post-processing. DS (2020)
Antoine Guillaume, Christel Vrain, Wael Elloumi
Time series classification for predictive maintenance on event logs. CoRR (2020)
Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson
Post-traitement pour la classification probabiliste non supervisée sous contraintes. EGC (2020)
Nicolas Lachiche, Christel Vrain, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese
Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. Mach. Learn. 108 (7) (2019)
Thomas Andrew Lampert, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Nicolas Serrette, Christel Vrain, Pierre Gançarski
Constrained Distance-Based Clustering for Satellite Image Time-Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (11) (2019)
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
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR (2019)
Khanh-Chuong Duong, Mostafa Bamha, Arnaud Giacometti, Dominique Li, Arnaud Soulet, Christel Vrain
MapFIM+: Memory Aware Parallelized Frequent Itemset Mining In Very Large Datasets. Trans. Large Scale Data Knowl. Centered Syst. 39 (2018)
Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski
Constrained distance based clustering for time-series: a comparative and experimental study. Data Min. Knowl. Discov. 32 (6) (2018)
Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson
Descriptive Clustering: ILP and CP Formulations with Applications. IJCAI (2018)
Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson
A Framework for Minimal Clustering Modification via Constraint Programming. AAAI (2017)
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
Constrained clustering by constraint programming. Artif. Intell. 244 (2017)
Khanh-Chuong Duong, Mostafa Bamha, Arnaud Giacometti, Dominique Li, Arnaud Soulet, Christel Vrain
MapFIM: Memory Aware Parallelized Frequent Itemset Mining in Very Large Datasets. DEXA (1) (2017)
Tias Guns, Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong
Repetitive Branch-and-Bound Using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering. ECAI (2016)
Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong, Ian Davidson
A Framework for Actionable Clustering Using Constraint Programming. ECAI (2016)
Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard
Learning Characteristic Rules in Geographic Information Systems. RuleML (2015)
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
Constrained Minimum Sum of Squares Clustering by Constraint Programming. CP (2015)
Marie Arcadias, Guillaume Cleuziou, Edmond Lassalle, Christel Vrain
Apprentissage non supervisé de dépendances syntaxiques à partir de texte étiqueté, plusieurs variantes de PCFG légères. EGC (2014)
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
Un nouveau modèle pour la classification non supervisée sous contraintes. Rev. d'Intelligence Artif. 28 (5) (2014)
Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, Daniel Cassard
QuantMiner for mining quantitative association rules. J. Mach. Learn. Res. 14 (1) (2013)
Céline Brouard, Christel Vrain, Julie Dubois, David Castel, Marie-Anne Debily, Florence d'Alché-Buc
Learning a Markov Logic network for supervised gene regulatory network inference. BMC Bioinform. 14 (2013)
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
A Filtering Algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion. ICTAI (2013)
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
Une approche en programmation par contraintes pour la classification non supervisée. EGC (2013)
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
A Declarative Framework for Constrained Clustering. ECML/PKDD (3) (2013)
Quang-Thang Dinh, Christel Vrain, Matthieu Exbrayat
A Link-Based Method for Propositionalization. ILP (Late Breaking Papers) (2012)
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates. IJCAI (2011)
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
Apprentissage génératif de la structure de réseaux logiques de Markov à partir d'un graphe des prédicats. EGC (2011)
Matthieu Lopez, Lionel Martin, Christel Vrain
Learning Discriminant Rules as a Minimal Saturation Search. ILP (2010)
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
Generative Structure Learning for Markov Logic Networks. STAIRS (2010)
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks. ICMLA (2010)
Arnaud Lallouet, Matthieu Lopez, Lionel Martin, Christel Vrain
On Learning Constraint Problems. ICTAI (1) (2010)
Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu
Abstracting Markov Networks. Abstraction, Reformulation, and Approximation (2010)
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
-Test. ADMA (1) (2010)
Lorenza Saitta, Christel Vrain
A Comparison between Two Statistical Relational Models. ILP (2008)
Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet
QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. IJCAI (2007)
Ansaf Salleb-Aouissi, Christel Vrain
A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases. Fundam. Informaticae 78 (4) (2007)
Guillaume Cleuziou, Sylvie Billot, Stanislas Lew, Lionel Martin, Christel Vrain
A Proximity Measure and a Clustering Method for Concept Extraction in an Ontology Building Perspective. ISMIS (2006)
Guillaume Cleuziou, Sylvie Billot, Stanislas Lew, Lionel Martin, Christel Vrain
Une mesure de proximité et une méthode de regroupement pour l'aide à l'acquisition d'ontologies spécialisées. EGC (2006)
Guillaume Cleuziou, Lionel Martin, Christel Vrain
Structuring Natural Language Data by Learning Rewriting Rules. ILP (2006)
Cyril Nortet, Ansaf Salleb, Teddy Turmeaux, Christel Vrain
Extraction de règles d'association quantitatives - Application à des données médicales. EGC (2005)
Cyril Nortet, Ansaf Salleb-Aouissi, Teddy Turmeaux, Christel Vrain
Le rôle de l'utilisateur dans un processus d'extraction de règles d'association. EGC (Ateliers) (2005)
Ansaf Salleb, Christel Vrain
Estimation of the Density of Datasets with Decision Diagrams. ISMIS (2005)
Zahir Maazouzi, Ansaf Salleb, Christel Vrain
BoolLoader : un chargeur efficace dédié aux bases de transactions denses. EGC (2004)
Guillaume Cleuziou, Lionel Martin, Viviane Clavier, Christel Vrain
DDOC: Overlapping Clustering of Words for Document Classification. SPIRE (2004)
Guillaume Cleuziou, Lionel Martin, Christel Vrain
PoBOC: An Overlapping Clustering Algorithm, Application to Rule-Based Classification and Textual Data. ECAI (2004)
Guillaume Cleuziou, Lionel Martin, Christel Vrain
PoBOC : un algorithme de "soft-clustering". Applications à l'apprentissage de règles et au traitement de données textuelles. EGC (2004)
Teddy Turmeaux, Daniel Cassard, Ansaf Salleb, Christel Vrain
Apprentissage de règles caractéristiques. EGC (2003)
Teddy Turmeaux, Ansaf Salleb, Christel Vrain, Daniel Cassard
Learning Characteristic Rules Relying on Quantified Paths. PKDD (2003)
Guillaume Cleuziou, Lionel Martin, Christel Vrain
Disjunctive Learning with a Soft-Clustering Method. ILP (2003)
Ansaf Salleb, Zahir Maazouzi, Christel Vrain
Mining maximal frequent itemsets by a boolean approach. ECAI (2002)
Isabelle Debourges, Sylvie Guilloré-Billot, Christel Vrain
Cartographie de Textes: Une aide à l'utilisateur dans le cadre de la découverte de nouveaux domaines. TALN (Posters) (2001)
Agnès Braud, Christel Vrain
A Genetic Algorithm for Propositionalization. ILP (2001)
Frédéric Moal, Teddy Turmeaux, Christel Vrain
Mining Relational Databases. PKDD (2000)
Ansaf Salleb, Christel Vrain
An Application of Association Rules Discovery to Geographic Information Systems. PKDD (2000)
Frédéric Moal, Christel Vrain
Composition of Biasses of Inductive Logic Programming. ILP Work-in-progress reports (2000)
Teddy Turmeaux, Christel Vrain
Learning in Constraint Databases. Discovery Science (1999)
Lionel Martin, Frédéric Moal, Christel Vrain
A Relational Data Mining Tool Based On Genetic Programming. PKDD (1998)
Lionel Martin, Christel Vrain
Efficient Induction of Numerical Constraints. ISMIS (1997)
Lionel Martin, Christel Vrain
Systematic Predicate Invention in Inductive Logic Programming. ILP (1997)
Lionel Martin, Christel Vrain
Learning Linear Constraints in Inductive Logic Programming. ECML (1997)
Lionel Martin, Christel Vrain
Induction of Constraint Logic Programs. ALT (1996)
Christel Vrain
Hierarchical Conceptual Clustering in a First Order Representation. ISMIS (1996)
Dominique Laurent, Christel Vrain
Learning Query Rules for Optimizing Databases with Update Rules. Logic in Databases (1996)
Christel Vrain, Dominique Laurent
Apprentissage de Règles et Bases de Données Déductives. BDA (1995)
Christel Vrain, Lionel Martin
Inductive Learning of Normal Clauses. ECML (1994)
Gilles Fouqué, Christel Vrain
Building a Tool for Software Code Analysis: A Machine Learning Approach. CAiSE (1992)
Christel Vrain, Cheng-Ren Lu
An Analogical Method to do Incremental Learning of Concepts. EWSL (1988)
Christel Vrain, Yves Kodratoff
The Use of Analogy in Incremental SBL. Knowledge Representation and Organization in Machine Learning (1987)