| Shared bicycles in a city: A signal processing and data analysis perspective P Borgnat, P Abry, P Flandrin, C Robardet, JB Rouquier, E Fleury Advances in Complex Systems 14 (03), 415-438, 2011 | 338 | 2011 |
| Characterizing the speed and paths of shared bicycle use in Lyon P Jensen, JB Rouquier, N Ovtracht, C Robardet Transportation research part D: transport and environment 15 (8), 522-524, 2010 | 309 | 2010 |
| Electricity price forecasting on the day-ahead market using machine learning L Tschora, E Pierre, M Plantevit, C Robardet Applied Energy 313, 118752, 2022 | 175 | 2022 |
| Closed patterns meet n-ary relations L Cerf, J Besson, C Robardet, JF Boulicaut ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (1), 1-36, 2009 | 165 | 2009 |
| From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset M Vogel, R Hamon, G Lozenguez, L Merchez, P Abry, J Barnier, ... Journal of Transport Geography 41, 280-291, 2014 | 136 | 2014 |
| Constraint-based concept mining and its application to microarray data analysis J Besson, C Robardet, JF Boulicaut, S Rome Intelligent Data Analysis journal 9 (1), 59-82, 2005 | 116 | 2005 |
| Description and simulation of dynamic mobility networks A Scherrer, P Borgnat, E Fleury, JL Guillaume, C Robardet Computer Networks 52 (15), 2842-2858, 2008 | 114 | 2008 |
| Mining graph topological patterns: Finding covariations among vertex descriptors A Prado, M Plantevit, C Robardet, JF Boulicaut IEEE Transactions on Knowledge and Data Engineering 25 (9), 2090-2104, 2012 | 89 | 2012 |
| Data-Peeler: Constraint-Based Closed Pattern Mining in n-ary Relations L Cerf, J Besson, C Robardet, JF Boulicaut proceedings of the 2008 SIAM International conference on Data Mining, 37-48, 2008 | 88 | 2008 |
| Mining a new fault-tolerant pattern type as an alternative to formal concept discovery J Besson, C Robardet, JF Boulicaut International Conference on Conceptual Structures, 144-157, 2006 | 73 | 2006 |
| Cohesive co-evolution patterns in dynamic attributed graphs E Desmier, M Plantevit, C Robardet, JF Boulicaut International conference on discovery science, 110-124, 2012 | 69 | 2012 |
| Constraint-based pattern mining in dynamic graphs C Robardet 2009 ninth IEEE international conference on data mining, 950-955, 2009 | 67 | 2009 |
| Constraint-based mining of formal concepts in transactional data J Besson, C Robardet, JF Boulicaut Pacific-Asia Conference on Knowledge Discovery and Data Mining, 615-624, 2004 | 62 | 2004 |
| Parameter-less co-clustering for star-structured heterogeneous data D Ienco, C Robardet, RG Pensa, R Meo Data Mining and Knowledge Discovery 26, 217-254, 2013 | 60 | 2013 |
| A dynamical network view of Lyon’s Vélo’v shared bicycle system P Borgnat, C Robardet, P Abry, P Flandrin, JB Rouquier, N Tremblay Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying …, 2013 | 60 | 2013 |
| Complex systems science: dreams of universality, interdisciplinarity reality S Grauwin, G Beslon, E Fleury, S Franceschelli, C Robardet, JB Rouquier, ... Journal of the American Society for Information Science and Technology 63 (7 …, 2012 | 59 | 2012 |
| A bi-clustering framework for categorical data RG Pensa, C Robardet, JF Boulicaut European Conference on Principles of Data Mining and Knowledge Discovery …, 2005 | 59 | 2005 |
| Clustering formal concepts to discover biologically relevant knowledge from gene expression data S Blachon, RG Pensa, J Besson, C Robardet, JF Boulicaut, O Gandrillon In Silico Biology 7 (4-5), 467-483, 2007 | 58 | 2007 |
| Chemical features mining provides new descriptive structure-odor relationships CC Licon, G Bosc, M Sabri, M Mantel, A Fournel, C Bushdid, ... PLoS computational biology 15 (4), e1006945, 2019 | 57 | 2019 |
| Exceptional contextual subgraph mining M Kaytoue, M Plantevit, A Zimmermann, A Bendimerad, C Robardet Machine Learning 106, 1171-1211, 2017 | 49 | 2017 |
Marc PlantevitProfessor at EPITA, Deputy head of EPITA Research Lab (LRE)Email được xác minh tại lrde.epita.fr
