Cédric Wemmert
Cédric Wemmert
Full Professor, ICube, University of Strasbourg
Adresse e-mail validée de unistra.fr - Page d'accueil
TitreCitée parAnnée
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
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
Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation
S Derivaux, G Forestier, C Wemmert, S Lefèvre
Pattern Recognition Letters 31 (15), 2364-2374, 2010
Collaborative clustering: Why, when, what and how
A Cornuéjols, C Wemmert, P Gançarski, Y Bennani
Information Fusion 39, 81-95, 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
Multiresolution remote sensing image clustering
C Wemmert, A Puissant, G Forestier, P Gancarski
IEEE Geoscience and Remote Sensing Letters 6 (3), 533-537, 2009
Multisource images analysis using collaborative clustering
G Forestier, C Wemmert, P Gançarski
EURASIP Journal on Advances in Signal Processing 2008 (1), 374095, 2008
A multi-view voting method to combine unsupervised classifications
C Wemmert, P Gancarski
Artificial Intelligence and Applications, 447-452, 2002
Collaborative multi-step mono-level multi-strategy classification
P Gançarski, C Wemmert
Multimedia Tools and Applications 35 (1), 1-27, 2007
Coastal image interpretation using background knowledge and semantics
G Forestier, C Wemmert, A Puissant
Computers & Geosciences 54, 88-96, 2013
Semi-supervised learning using multiple clusterings with limited labeled data
G Forestier, C Wemmert
Information sciences 361, 48-65, 2016
Watershed segmentation of remotely sensed images based on a supervised fuzzy pixel classification
S Derivaux, S Lefevre, C Wemmert, J Korczak
Stain unmixing in brightfield multiplexed immunohistochemistry
C Wemmert, JM Krüger, G Forestier, L Sternberger, F Feuerhake, ...
2013 IEEE International Conference on Image Processing, 1125-1129, 2013
An evolutionary approach for ontology driven image interpretation
G Forestier, S Derivaux, C Wemmert, P Gançarski
Workshops on Applications of Evolutionary Computation, 295-304, 2008
In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium
JCL Alfonso, NS Schaadt, R Schönmeyer, N Brieu, G Forestier, ...
Scientific reports 6, 33322, 2016
Detection of lobular structures in normal breast tissue
G Apou, NS Schaadt, B Naegel, G Forestier, R Schönmeyer, F Feuerhake, ...
Computers in biology and medicine 74, 91-102, 2016
Template-based hierarchical building extraction
A Sellaouti, A Hamouda, A Deruyver, C Wemmert
IEEE Geoscience and Remote Sensing Letters 11 (3), 706-710, 2013
Towards conflict resolution in collaborative clustering
G Forestier, C Wemmert, P Gancarski
2010 5th IEEE International Conference Intelligent Systems, 361-366, 2010
On machine learning in watershed segmentation
S Derivaux, S Lefèvre, C Wemmert, J Korczak
2007 IEEE Workshop on Machine Learning for Signal Processing, 187-192, 2007
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