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ORCIDChristel Vrain
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- affiliation: University of Orléans, France
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2020 – today
- 2024
[j13]Franck Anaël Mbiaya
, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas:
Knowledge graph-based image classification. Data Knowl. Eng. 151: 102285 (2024)- [j12]Thi-Bich-Hanh Dao, Christel Vrain:
A review on declarative approaches for constrained clustering. Int. J. Approx. Reason. 171: 109135 (2024) - [j11]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: 109206 (2024) - [i4]Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao:
Towards Explainable Clustering: A Constrained Declarative based Approach. CoRR abs/2403.18101 (2024) - 2023
- [c61]Aymeric Beauchamp, Thi-Bich-Hanh Dao, Samir Loudni, Christel Vrain:
Incremental Constrained Clustering by Minimal Weighted Modification. CP 2023: 10:1-10:22 - [c60]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: 259-272 - 2022
- [c59]Antoine Guillaume, Christel Vrain, Wael Elloumi:
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets. ICPRAI (1) 2022: 653-664 - [c58]Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto:
Anchored Constrained Clustering Ensemble. IJCNN 2022: 1-8 - [c57]Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao:
Knowledge Integration in Deep Clustering. ECML/PKDD (1) 2022: 174-190 - 2021
- [i3]Antoine Guillaume, Christel Vrain, Wael Elloumi:
Convolutional Shapelet Transform: A new approach for time series shapelets. CoRR abs/2109.13514 (2021) - 2020
- [c56]Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson:
Constrained Clustering via Post-processing. DS 2020: 53-67 - [c55]Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson:
Post-traitement pour la classification probabiliste non supervisée sous contraintes. EGC 2020: 169-180 - [p2]Antoine Cornuéjols, Christel Vrain:
Designing Algorithms for Machine Learning and Data Mining. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 339-410 - [i2]Antoine Guillaume, Christel Vrain, Wael Elloumi:
Time series classification for predictive maintenance on event logs. CoRR abs/2011.10996 (2020)
2010 – 2019
- 2019
- [j10]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): 1057-1059 (2019) - [j9]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): 4606-4621 (2019) - [i1]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 abs/1912.06612 (2019) - 2018
- [j8]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): 1663-1707 (2018) - [j7]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: 200-225 (2018) - [c54]Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson:
Descriptive Clustering: ILP and CP Formulations with Applications. IJCAI 2018: 1263-1269 - [e3]Nicolas Lachiche, Christel Vrain:
Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, Orléans, France, September 4-6, 2017. CEUR Workshop Proceedings 2085, CEUR-WS.org 2018 [contents] - [e2]Nicolas Lachiche, Christel Vrain:
Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10759, Springer 2018, ISBN 978-3-319-78089-4 [contents] - 2017
- [j6]Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
Constrained clustering by constraint programming. Artif. Intell. 244: 70-94 (2017) - [c53]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: 1389-1395 - [c52]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: 478-495 - 2016
- [c51]Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong, Ian Davidson:
A Framework for Actionable Clustering Using Constraint Programming. ECAI 2016: 453-461 - [c50]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: 462-470 - 2015
- [c49]Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
Constrained Minimum Sum of Squares Clustering by Constraint Programming. CP 2015: 557-573 - [c48]Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard:
Learning Characteristic Rules in Geographic Information Systems. RuleML 2015: 431-444 - 2014
- [j5]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): 523-545 (2014) - [c47]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: 155-160 - 2013
- [j4]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: 273 (2013) - [j3]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): 3153-3157 (2013) - [c46]Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
Une approche en programmation par contraintes pour la classification non supervisée. EGC 2013: 55-66 - [c45]Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
A Filtering Algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion. ICTAI 2013: 1060-1067 - [c44]Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
A Declarative Framework for Constrained Clustering. ECML/PKDD (3) 2013: 419-434 - [e1]Christel Vrain, André Péninou, Florence Sèdes:
Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier - 01 février 2013, Toulouse, France. Revue des Nouvelles Technologies de l'Information RNTI-E-24, Hermann-Éditions 2013, ISBN 978-2-70568-656-7 [contents] - 2012
- [c43]Quang-Thang Dinh, Christel Vrain, Matthieu Exbrayat:
A Link-Based Method for Propositionalization. ILP (Late Breaking Papers) 2012: 10-25 - 2011
- [c42]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: 413-424 - [c41]Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain:
Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates. IJCAI 2011: 1249-1254 - 2010
- [c40]Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu:
Abstracting Markov Networks. Abstraction, Reformulation, and Approximation 2010 - [c39]Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain:
Discriminative Markov Logic Network Structure Learning Based on Propositionalization and chi2-Test. ADMA (1) 2010: 24-35 - [c38]Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain:
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks. ICMLA 2010: 163-168 - [c37]Arnaud Lallouet, Matthieu Lopez, Lionel Martin, Christel Vrain:
On Learning Constraint Problems. ICTAI (1) 2010: 45-52 - [c36]Matthieu Lopez, Lionel Martin, Christel Vrain:
Learning Discriminant Rules as a Minimal Saturation Search. ILP 2010: 146-157 - [c35]Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain:
Generative Structure Learning for Markov Logic Networks. STAIRS 2010: 63-75
2000 – 2009
- 2008
- [c34]Lorenza Saitta, Christel Vrain:
A Comparison between Two Statistical Relational Models. ILP 2008: 244-260 - 2007
- [j2]Ansaf Salleb-Aouissi, Christel Vrain:
A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases. Fundam. Informaticae 78(4): 575-594 (2007) - [c33]Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet:
QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. IJCAI 2007: 1035-1040 - [p1]Béatrice Duval, Ansaf Salleb, Christel Vrain:
On the Discovery of Exception Rules: A Survey. Quality Measures in Data Mining 2007: 77-98 - 2006
- [c32]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: 163-174 - [c31]Guillaume Cleuziou, Lionel Martin, Christel Vrain:
Structuring Natural Language Data by Learning Rewriting Rules. ILP 2006: 125-138 - [c30]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: 697-706 - 2005
- [c29]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: 397-402 - [c28]Cyril Nortet, Ansaf Salleb, Teddy Turmeaux, Christel Vrain:
Extraction de règles d'association quantitatives - Application à des données médicales. EGC 2005: 495-506 - [c27]Ansaf Salleb, Christel Vrain:
Estimation of the Density of Datasets with Decision Diagrams. ISMIS 2005: 688-697 - 2004
- [c26]Guillaume Cleuziou, Lionel Martin, Christel Vrain:
PoBOC: An Overlapping Clustering Algorithm, Application to Rule-Based Classification and Textual Data. ECAI 2004: 440-444 - [c25]Zahir Maazouzi, Ansaf Salleb, Christel Vrain:
BoolLoader : un chargeur efficace dédié aux bases de transactions denses. EGC 2004: 71-82 - [c24]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: 217-228 - [c23]Guillaume Cleuziou, Lionel Martin, Viviane Clavier, Christel Vrain:
DDOC: Overlapping Clustering of Words for Document Classification. SPIRE 2004: 127-128 - 2003
- [c22]Teddy Turmeaux, Daniel Cassard, Ansaf Salleb, Christel Vrain:
Apprentissage de règles caractéristiques. EGC 2003: 437-448 - [c21]Guillaume Cleuziou, Lionel Martin, Christel Vrain:
Disjunctive Learning with a Soft-Clustering Method. ILP 2003: 75-92 - [c20]Teddy Turmeaux, Ansaf Salleb, Christel Vrain, Daniel Cassard:
Learning Characteristic Rules Relying on Quantified Paths. PKDD 2003: 471-482 - 2002
- [c19]Ansaf Salleb, Zahir Maazouzi, Christel Vrain:
Mining maximal frequent itemsets by a boolean approach. ECAI 2002: 385-389 - 2001
- [c18]Agnès Braud, Christel Vrain:
A Genetic Algorithm for Propositionalization. ILP 2001: 27-40 - [c17]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: 343-348 - 2000
- [c16]Frédéric Moal, Christel Vrain:
Composition of Biasses of Inductive Logic Programming. ILP Work-in-progress reports 2000 - [c15]Frédéric Moal, Teddy Turmeaux, Christel Vrain:
Mining Relational Databases. PKDD 2000: 536-541 - [c14]Ansaf Salleb, Christel Vrain:
An Application of Association Rules Discovery to Geographic Information Systems. PKDD 2000: 613-618
1990 – 1999
- 1999
- [c13]Teddy Turmeaux, Christel Vrain:
Learning in Constraint Databases. Discovery Science 1999: 196-207 - 1998
- [c12]Lionel Martin, Frédéric Moal, Christel Vrain:
A Relational Data Mining Tool Based On Genetic Programming. PKDD 1998: 130-138 - 1997
- [c11]Lionel Martin, Christel Vrain:
Learning Linear Constraints in Inductive Logic Programming. ECML 1997: 162-169 - [c10]Lionel Martin, Christel Vrain:
Systematic Predicate Invention in Inductive Logic Programming. ILP 1997: 189-204 - [c9]Lionel Martin, Christel Vrain:
Efficient Induction of Numerical Constraints. ISMIS 1997: 167-176 - 1996
- [c8]Lionel Martin, Christel Vrain:
Induction of Constraint Logic Programs. ALT 1996: 169-176 - [c7]Christel Vrain:
Hierarchical Conceptual Clustering in a First Order Representation. ISMIS 1996: 643-652 - [c6]Dominique Laurent, Christel Vrain:
Learning Query Rules for Optimizing Databases with Update Rules. Logic in Databases 1996: 153-172 - 1995
- [c5]Christel Vrain, Dominique Laurent:
Apprentissage de Règles et Bases de Données Déductives. BDA 1995: 303-322 - 1994
- [c4]Christel Vrain, Lionel Martin:
Inductive Learning of Normal Clauses. ECML 1994: 435-438 - 1993
- [j1]Yves Kodratoff, Christel Vrain:
Acquiring first-order knowledge about air traffic control. Knowl. Acquis. 5(1): 1-36 (1993) - 1992
- [c3]Gilles Fouqué, Christel Vrain:
Building a Tool for Software Code Analysis: A Machine Learning Approach. CAiSE 1992: 278-289
1980 – 1989
- 1988
- [c2]Christel Vrain, Cheng-Ren Lu:
An Analogical Method to do Incremental Learning of Concepts. EWSL 1988: 227-235 - 1987
- [c1]Christel Vrain, Yves Kodratoff:
The Use of Analogy in Incremental SBL. Knowledge Representation and Organization in Machine Learning 1987: 231-246
Coauthor Index
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