Pierre Gancarski
Cited by
Cited by
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
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
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
Collaborative clustering: Why, when, what and how
A Cornuéjols, C Wemmert, P Gançarski, Y Bennani
Information Fusion 39, 81-95, 2018
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
Collaborative clustering with background knowledge
G Forestier, P Gançarski, C Wemmert
Data & Knowledge Engineering 69 (2), 211-228, 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
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
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
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
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
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
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
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
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
Multiresolution remote sensing image clustering
C Wemmert, A Puissant, G Forestier, P Gancarski
IEEE Geoscience and Remote Sensing Letters 6 (3), 533-537, 2009
Collaborative multi-step mono-level multi-strategy classification
P Gançarski, C Wemmert
Multimedia Tools and Applications 35, 1-27, 2007
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
A multi-view voting method to combine unsupervised classifications
C Wemmert, P Gançarski
2nd IASTED International Conference on Artificial Intelligence and …, 2002
Combat or surveillance? Evaluation of the heterogeneous inflammatory breast cancer microenvironment
JM Krüger, C Wemmert, L Sternberger, C Bonnas, G Dietmann, ...
The Journal of Pathology 229 (4), 569-578, 2013
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