| Interactive and iterative visual clustering L Boudjeloud-Assala, P Pinheiro, A Blansché, T Tamisier, B Otjacques Information Visualization 15 (3), 181-197, 2016 | 31 | 2016 |
| Visual interactive evolutionary algorithm for high dimensional data clustering and outlier detection L Boudjeloud, F Poulet Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference …, 2005 | 23 | 2005 |
| Visual interactive evolutionary algorithm for high dimensional outlier detection and data clustering problems L Boudjeloud-Assala International Journal of Bio-Inspired Computation 4 (1), 6-13, 2012 | 19 | 2012 |
| Attribute selection for high dimensional data clustering L Boudjeloud, F Poulet ESIEA Recherche, Parc Universitaire de Laval-Change 38, 2005 | 16 | 2005 |
| Interpreting atypical conditions in systems with deep conditional autoencoders: the case of electrical consumption A Marot, A Rosin, L Crochepierre, B Donnot, P Pinson, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 8 | 2020 |
| Interpretable dimensionally-consistent feature extraction from electrical network sensors L Crochepierre, L Boudjeloud-Assala, V Barbesant Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 7 | 2021 |
| Incremental nearest neighborhood graph for data stream clustering I Louhi, L Boudjeloud-Assala, T Tamisier 2016 International Joint Conference on Neural Networks (IJCNN), 2468-2475, 2016 | 7 | 2016 |
| Iterative evolutionary subspace clustering L Boudjeloud-Assala, A Blansché Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 7 | 2012 |
| A genetic approach for outlier detection in high dimensional data sets L Boudjeloud, F Poulet Modelling, Computation and Optimization in Information Systems and …, 2004 | 6 | 2004 |
| Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks. L Crochepierre, L Boudjeloud-Assala, V Barbesant IJCAI, 5900-5903, 2022 | 4 | 2022 |
| A reinforcement learning approach to domain-knowledge inclusion using grammar guided symbolic regression L Crochepierre, L Boudjeloud-Assala, V Barbesant arXiv preprint arXiv:2202.04367, 2022 | 4 | 2022 |
| Visualisation et algorithmes génétiques pour la fouille de grands ensembles de données BL Boudjeloud-Assala Nantes, 2005 | 4 | 2005 |
| Exploration and visualization approach for outlier detection on log files I Louhi, L Boudjeloud-Assala, T Tamisier New Trends in Intelligent Information and Database Systems, 3-12, 2015 | 3 | 2015 |
| Clustering data streams over sliding windows by DCA TM Thuy, LTH An, L Boudjeloud-Assala Advanced Computational Methods for Knowledge Engineering, 65-75, 2013 | 3 | 2013 |
| An efficient clustering method for massive dataset based on DC programming and DCA approach TM Thuy, HA Le Thi, L Boudjeloud-Assala Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 3 | 2013 |
| Clustering data stream by a sub-window approach using DCA MT Ta, HA Le Thi, L Boudjeloud-Assala Machine Learning and Data Mining in Pattern Recognition: 8th International …, 2012 | 3 | 2012 |
| Advances in Knowledge Discovery and Management R Jaziri, A Martin, MC Rousset, L Boudjeloud-Assala, F Guillet Springer, 2024 | 2 | 2024 |
| Approche interactive d'extraction de variables interprétables et explicatives pour la gestion des contraintes du réseau électrique français L Crochepierre, L Boudjeloud-Assala, V Barbesant EGC 2021-21ème édition de la conférence" Extraction et Gestion des …, 2021 | 2 | 2021 |
| Subspace clustering et visualisation des flux de données I Louhi, L Boudjeloud-Assala, T Tamisier 17ème Journées Francophones Extraction et Gestion des Connaissances, EGC'2017, 2017 | 2 | 2017 |
| A clustering algorithm based on elitist evolutionary approach L Boudjeloud-Assala, TM Thuy International Journal of Bio-Inspired Computation 10 (4), 258-266, 2017 | 2 | 2017 |
Alexandre BlanschéLORIA - Université de LorraineVerified email at univ-lorraine.fr
