Pierre Gançarski

发表

A Generative System for Interactive Animation Based on Reactive System Semantics and on Actor Semantics

Pierre Gançarski, P. Gançarski, 1990, GI Jahrestagung.

Hierarchical Clustering of Composite Objects with a Variable Number of Components

Pierre Gançarski, Alain Ketterlin, Jerzy J. Korczak, 1995, AISTATS.

Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2012, Pattern Recognit..

MACLAW: A modular approach for clustering with local attribute weighting

Pierre Gançarski, Jerzy J. Korczak, Alexandre Blansché, 2006, Pattern Recognit. Lett..

Semi-supervised Collaborative Clustering with Partial Background Knowledge

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Remote sensing image analysis by aggregation of segmentation-classification collaborative agents

Pierre Gançarski, Laure Berti-Équille, Andres Troya-Galvis, 2018, Pattern Recognit..

Conceptual Clustering in Structured Databases: A Practical Approach

Pierre Gançarski, Alain Ketterlin, Jerzy J. Korczak, 1995, KDD.

Mining Multiple Satellite Sensor Data Using Collaborative Clustering

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Stain unmixing in brightfield multiplexed immunohistochemistry

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2013, 2013 IEEE International Conference on Image Processing.

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation

Pierre Gançarski, Sébastien Lefèvre, Jonathan Weber, 2011, ISMM.

Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases

Pierre Gançarski, François Petitjean, Anne Puissant, 2016, AI Commun..

A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis

Pierre Gançarski, Jerzy J. Korczak, Alexandre Blansché, 2005, EvoWorkshops.

Interprétation d'images basée sur une approche évolutive guidée par une ontologie

Germain Forestier, Pierre Gançarski, Sébastien Derivaux, 2008, EGC.

Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2010, EGC.

Pattern Mining and Clustering on Image Databases

Omar Boussaïd, Pierre Gançarski, Marie-Aude Aufaure, 2009, Database Technologies: Concepts, Methodologies, Tools, and Applications.

Comparison between two coevolutionary feature weighting algorithms in clustering

Pierre Gançarski, Alexandre Blansché, Annett Wania, 2008, Pattern Recognit..

Collaborative clustering: Why, when, what and how

Pierre Gançarski, Younès Bennani, Antoine Cornuéjols, 2018, Inf. Fusion.

Ontology-Based Object Recognition for Remote Sensing Image Interpretation

Germain Forestier, Pierre Gançarski, Nicolas Durand, 2007 .

The bane of skew

Pierre Gançarski, Thomas Andrew Lampert, 2013, Machine Learning.

An Evolutionary Approach for Ontology Driven Image Interpretation

Germain Forestier, Pierre Gançarski, Sébastien Derivaux, 2008, EvoWorkshops.

Multiresolution Remote Sensing Image Clustering

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2009, IEEE Geoscience and Remote Sensing Letters.

Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones

Pierre Gançarski, François Petitjean, Jonathan Weber, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI

Pierre Gançarski, Guillaume Latu, Stéphane Genaud, 2007, The Journal of Supercomputing.

Notes de lecture : Fouille de Données Complexes

Omar Boussaïd, Pierre Gançarski, Florent Masseglia, 2006, Monde des Util. Anal. Données.

Hierarchical Segmentation of Multiresolution Remote Sensing Images

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2011, ISMM.

Ontology-Based Object Recognition for Remote Sensing Image Interpretation

Germain Forestier, Omar Boussaïd, Pierre Gançarski, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images

Pierre Gançarski, Alexandre Blansché, Annett Wania, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Un cadre collaboratif pour la segmentation et la classification d'images de télédétection

Pierre Gançarski, Laure Berti-Équille, Andres Troya-Galvis, 2016, EGC.

Detecting land-cover modifications from multi-resolution satellite image time series

Pierre Gançarski, Jordi Inglada, François Petitjean, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Real-Time Fall Detection Method Based on Hidden Markov Modelling

Christophe Collet, Nicolas Lachiche, Pierre Gançarski, 2012, ICISP.

Analysing Satellite Image Time Series by Means of Pattern Mining

Germain Forestier, Pierre Gançarski, Florent Masseglia, 2010, IDEAL.

Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

A context-based approach for the classification of Satellite Image Time Series

Pierre Gançarski, François Petitjean, Camille Kurtz, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Navigation et appariement d'objets géographiques dans une ontologie

Omar Boussaïd, Pierre Gançarski, Nicolas Durand, 2007, EGC.

Collaborative segmentation and classification for remote sensing image analysis

Pierre Gançarski, Laure Berti-Équille, Andres Troya-Galvis, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression pdf

Pierre Gançarski, Pedro Chahuara, Thomas Andrew Lampert, 2016, TPDL.

FODOMUST - Une plateforme de clustering collaboratif sous contraintes incrémental de séries temporelles

Pierre Gançarski, Abdoul-Djawadou Salaou, Baptiste Lafabregue, 2020, EGC.

Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in $K$-means-Based Algorithms

Pierre Gançarski, Alexandre Blansché, P. Gançarski, 2008, IEEE Transactions on Evolutionary Computation.

Generic architecture for ambient intelligence based on an organizational centered multi-agent approach

Christophe Collet, Nicolas Lachiche, Pierre Gançarski, 2012, UbiComp.

Multisource Images Analysis Using Collaborative Clustering

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2008, EURASIP J. Adv. Signal Process..

Constrained distance based clustering for time-series: a comparative and experimental study

Germain Forestier, Thi-Bich-Hanh Dao, Pierre Gançarski, 2018, Data Mining and Knowledge Discovery.

Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes

Christophe Collet, Nicolas Lachiche, Pierre Gançarski, 2014, EGC.

An unsupervised collaborative learning method to refine classification hierarchies

Pierre Gançarski, Cédric Wemmert, Jerzy J. Korczak, 1999, Proceedings 11th International Conference on Tools with Artificial Intelligence.

Collaborative multi-strategy classification: application to per-pixel analysis of images

Pierre Gançarski, Cédric Wemmert, 2005, MDM '05.

An Empirical Study Into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation

André Stumpf, Pierre Gançarski, Thomas Andrew Lampert, 2013, IEEE Transactions on Image Processing.

Semantic rich ICM algorithm for VHR satellite images segmentation

Pierre Gançarski, Younès Bennani, Antoine Cornuéjols, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Conception of a GIS-Platform to simulate urban densification based on the analysis of topographic data

Anne Ruas, Nicolas Lachiche, Julien Perret, 2011 .

Spatio-temporal reasoning for the classification of satellite image time series

Nicolas Passat, Pierre Gançarski, François Petitjean, 2012, Pattern Recognit. Lett..

Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis

Nicolas Passat, Pierre Gançarski, Laure Berti-Équille, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection

Pierre Gançarski, Laure Berti-Équille, Andres Troya-Galvis, 2017, Rev. d'Intelligence Artif..

Monitoring urban sprawl from Satellite Image Time Series

Pierre Gançarski, François Petitjean, Anne Puissant, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Discovering Significant Evolution Patterns from Satellite Image Time Series

Germain Forestier, Pierre Gançarski, Florent Masseglia, 2011, Int. J. Neural Syst..

Approche contextuelle par régression pour les tests A/B

Pierre Gançarski, Myriam Maumy-Bertrand, Emmanuelle Claeys, 2018, EGC.

Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing

Pierre Gançarski, Hubert Wassner, Myriam Maumy-Bertrand, 2023, IEEE Transactions on Knowledge and Data Engineering.

A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images

Pierre Gançarski, Laure Berti-Équille, Andres Troya-Galvis, 2016, EGC.

Background Knowledge Integration in Clustering Using Purity Indexes

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2010, KSEM.

Video Object Mining: Issues and Perspectives

Pierre Gançarski, Sébastien Lefèvre, Jonathan Weber, 2010, 2010 IEEE Fourth International Conference on Semantic Computing.

A histogram semantic-based distance for multiresolution image classification

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2012, 2012 19th IEEE International Conference on Image Processing.

Hierarchical extraction of landslides from multiresolution remotely sensed optical images

André Stumpf, Nicolas Passat, Pierre Gançarski, 2014 .

Supervised quality evaluation of binary partition trees for object segmentation

Nicolas Passat, Pierre Gançarski, Nathalie Bednarek, 2021, Pattern Recognit..

A global averaging method for dynamic time warping, with applications to clustering

Pierre Gançarski, François Petitjean, Alain Ketterlin, 2011, Pattern Recognit..

Intégration des séries temporelles dans les A/B-Tests

Pierre Gançarski, Myriam Maumy-Bertrand, Emmanuelle Claeys, 2020, EGC.

Multi-resolution region-based clustering for urban analysis

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2010 .

Regression Tree for Bandits Models in A/B Testing

Pierre Gançarski, Hubert Wassner, Myriam Maumy-Bertrand, 2017, IDA.

Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites

Pierre Gançarski, Florent Masseglia, François Petitjean, 2011, EGC.

Constrained Distance based K-Means Clustering for Satellite Image Time-Series

Pierre Gançarski, Baptiste Lafabregue, Thomas Lampert, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Representative Individuals Initialisation in Cooperative Coevolution

Pierre Gançarski, Jerzy J. Korczak, Alexandre Blansché, 2005, Indian International Conference on Artificial Intelligence.

Collaborative multi-step mono-level multi-strategy classification

Pierre Gançarski, Cédric Wemmert, Cédric Wemmert, 2007, Multimedia Tools and Applications.

Knowledge-based region labeling for remote sensing image interpretation

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2012, Comput. Environ. Urban Syst..

Sélection d'attributs et classification d'objets complexes

Pierre Gançarski, Alexandre Blansché, 2004, EGC.

Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2008 .

Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection

Pierre Gançarski, Isabelle Mougenot, Laure Berti-Équille, 2017, EGC.

Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment

Pierre Gançarski, François Petitjean, P. Gançarski, 2012, Theor. Comput. Sci..

On Combining Unsupervised Classification and Ontology Knowledge

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Intrinsic quality analysis of binary partition trees

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2018 .

An interactive approach for extraction of urban patterns from multisource images

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2011, 2011 Joint Urban Remote Sensing Event.

A hierarchical semantic-based distance for nominal histogram comparison

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2013, Data Knowl. Eng..

Approche paramétrique de bandits pour le test A/B

Pierre Gançarski, Hubert Wassner, Myriam Maumy-Bertrand, 2017, APIA.

Collaborative clustering with background knowledge

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2010, Data Knowl. Eng..

A Collaborative Approach to Combine Multiple Learning Methods

Pierre Gançarski, Cédric Wemmert, Jerzy J. Korczak, 2000, Int. J. Artif. Intell. Tools.

Conception d'un modèle généraliste pour l'évaluation d'un test A/B

Pierre Gançarski, Hubert Wassner, Myriam Maumy-Bertrand, 2017, EGC.

FODOMUST: une plateforme pour la fouille de données multistratégie multitemporelle

Pierre Gançarski, Abdoul-Djawadou Salaou, 2016, EGC.

Introducing prior knowledge in temporal distances for Satellite Image Time Series analysis

Pierre Gançarski, Jordi Inglada, François Petitjean, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

VHR satellite image segmentation based on topological unsupervised learning

Pierre Gançarski, Nicoleta Rogovschi, Nistor Grozavu, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

End-to-end deep representation learning for time series clustering: a comparative study

Germain Forestier, Pierre Gançarski, Jonathan Weber, 2021, Data Mining and Knowledge Discovery.

Mining frequent approximate patterns in large networks

Wadii Boulila, Pierre Gançarski, Aurélie Leborgne, 2020, Int. J. Imaging Syst. Technol..

Grad Centroid Activation Mapping for Convolutional Neural Networks

Germain Forestier, Pierre Gançarski, Jonathan Weber, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

Assessing the quality of temporal high-resolution classifications with low-resolution satellite image time series

Pierre Gançarski, Jordi Inglada, François Petitjean, 2014 .

Temporal domain adaptation under time warping

Pierre Gançarski, Jordi Inglada, François Petitjean, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Spatial Evolution of Urban Fabrics Extracted from Spatiotemporal Topographic Database using Symbolic Dynamic Time Warping

Pierre Gançarski, François Petitjean, Anne Puissant, 2016 .

Combat or surveillance? Evaluation of the heterogeneous inflammatory breast cancer microenvironment

Pierre Gançarski, Cédric Wemmert, Friedrich Feuerhake, 2013, The Journal of pathology.

Towards conflict resolution in collaborative clustering

Germain Forestier, Pierre Gançarski, Cédric Wemmert, 2010, 2010 5th IEEE International Conference Intelligent Systems.

Interactive video segmentation based on quasi-flat zones

Pierre Gançarski, Sébastien Lefèvre, Jonathan Weber, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).