| A global averaging method for dynamic time warping, with applications to clustering F Petitjean, A Ketterlin, P Gançarski Pattern recognition 44 (3), 678-693, 2011 | 1329 | 2011 |
| Satellite image time series analysis under time warping F Petitjean, J Inglada, P Gançarski IEEE transactions on geoscience and remote sensing 50 (8), 3081-3095, 2012 | 393 | 2012 |
| Collaborative clustering: Why, when, what and how A Cornuéjols, C Wemmert, P Gançarski, Y Bennani Information Fusion 39, 81-95, 2018 | 133 | 2018 |
| Ontology-based object recognition for remote sensing image interpretation N Durand, S Derivaux, G Forestier, C Wemmert, P Gançarski, O Boussaid, ... 19th IEEE International Conference on Tools with Artificial Intelligence …, 2007 | 133 | 2007 |
| Spatio-temporal reasoning for the classification of satellite image time series F Petitjean, C Kurtz, N Passat, P Gançarski Pattern Recognition Letters 33 (13), 1805-1815, 2012 | 126 | 2012 |
| Knowledge-based region labeling for remote sensing image interpretation G Forestier, A Puissant, C Wemmert, P Gançarski Computers, Environment and Urban Systems 36 (5), 470-480, 2012 | 123 | 2012 |
| Collaborative clustering with background knowledge G Forestier, P Gançarski, C Wemmert Data & Knowledge Engineering 69 (2), 211-228, 2010 | 121 | 2010 |
| Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology C Kurtz, N Passat, P Gancarski, A Puissant Pattern Recognition 45 (2), 685-706, 2012 | 118 | 2012 |
| Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment F Petitjean, P Gançarski Theoretical Computer Science 414 (1), 76-91, 2012 | 116 | 2012 |
| An empirical study into annotator agreement, ground truth estimation, and algorithm evaluation TA Lampert, A Stumpf, P Gançarski IEEE Transactions on Image Processing 25 (6), 2557-2572, 2016 | 111 | 2016 |
| Hierarchical extraction of landslides from multiresolution remotely sensed optical images C Kurtz, A Stumpf, JP Malet, P Gançarski, A Puissant, N Passat ISPRS Journal of Photogrammetry and Remote Sensing 87, 122-136, 2014 | 92 | 2014 |
| End-to-end deep representation learning for time series clustering: a comparative study B Lafabregue, J Weber, P Gançarski, G Forestier Data Mining and Knowledge Discovery 36 (1), 29-81, 2022 | 65 | 2022 |
| Remote sensing image analysis by aggregation of segmentation-classification collaborative agents A Troya-Galvis, P Gançarski, L Berti-Équille Pattern Recognition 73, 259-274, 2018 | 54 | 2018 |
| A collaborative approach to combine multiple learning methods C Wemmert, P Gançarski, JJ Korczak International Journal on Artificial Intelligence Tools 9 (01), 59-78, 2000 | 52 | 2000 |
| Unsupervised quantification of under-and over-segmentation for object-based remote sensing image analysis A Troya-Galvis, P Gançarski, N Passat, L Berti-Equille IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 50 | 2015 |
| Constrained distance based clustering for time-series: a comparative and experimental study T Lampert, B Lafabregue, N Serrette, G Forestier, B Crémilleux, C Vrain, ... Data Mining and Knowledge Discovery 32 (6), 1663-1707, 2018 | 44 | 2018 |
| Multiresolution remote sensing image clustering C Wemmert, A Puissant, G Forestier, P Gancarski IEEE Geoscience and Remote Sensing Letters 6 (3), 533-537, 2009 | 44 | 2009 |
| Collaborative multi-step mono-level multi-strategy classification P Gançarski, C Wemmert Multimedia Tools and Applications 35, 1-27, 2007 | 43 | 2007 |
| A multi-view voting method to combine unsupervised classifications C Wemmert, P Gançarski 2nd IASTED International Conference on Artificial Intelligence and …, 2002 | 39 | 2002 |
| Constrained clustering: Current and new trends P Gançarski, TBH Dao, B Crémilleux, G Forestier, T Lampert A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms …, 2020 | 37 | 2020 |
Cédric WemmertFull Professor, ICube, University of StrasbourgDirección de correo verificada de unistra.fr
