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- Christel Vrain
University of Orléans, France
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Publication search results
found 79 matches
- 2024
- Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao:
Towards Explainable Clustering: A Constrained Declarative based Approach. CoRR abs/2403.18101 (2024) - 2023
- Antoine Guillaume, Christel Vrain, Wael Elloumi:
Time series classification with Shapelets: Application to predictive maintenance on event logs. (Classification de séries temporelles avec les Shapelets : application à la maintenance prédictive via journaux d'événements). University of Orléans, France, 2023 - Aymeric Beauchamp, Thi-Bich-Hanh Dao, Samir Loudni, Christel Vrain:
Incremental Constrained Clustering by Minimal Weighted Modification. CP 2023: 10:1-10:22 - 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
- Antoine Guillaume, Christel Vrain, Wael Elloumi:
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets. ICPRAI (1) 2022: 653-664 - Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto:
Anchored Constrained Clustering Ensemble. IJCNN 2022: 1-8 - Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao:
Knowledge Integration in Deep Clustering. ECML/PKDD (1) 2022: 174-190 - 2021
- Antoine Guillaume, Christel Vrain, Wael Elloumi:
Convolutional Shapelet Transform: A new approach for time series shapelets. CoRR abs/2109.13514 (2021) - 2020
- Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson:
Constrained Clustering via Post-processing. DS 2020: 53-67 - 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 - Antoine Guillaume, Christel Vrain, Wael Elloumi:
Time series classification for predictive maintenance on event logs. CoRR abs/2011.10996 (2020) - 2019
- 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) - 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) - 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
- 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) - 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) - 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 - 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] - 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] - 2017
- Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
Constrained clustering by constraint programming. Artif. Intell. 244: 70-94 (2017) - 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 - 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
- Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong, Ian Davidson:
A Framework for Actionable Clustering Using Constraint Programming. ECAI 2016: 453-461 - 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
- Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
Constrained Minimum Sum of Squares Clustering by Constraint Programming. CP 2015: 557-573 - Ansaf Salleb-Aouissi, Christel Vrain, Daniel Cassard:
Learning Characteristic Rules in Geographic Information Systems. RuleML 2015: 431-444 - 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): 523-545 (2014) - 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
- 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) - 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)
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