Pierre Gançarski

112 papers A* 1A 1B 8C 14Misc 3Journal 42Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Apprendre avec peu d'exemples : Une approche auto-supervisée basée sur les segments avec application à la télédétection. EGC Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2025	J	`jnl`	I-SAMARAH, an incremental constrained clustering applied to remote sensing images. Neural Comput. Appl. Baptiste Lafabregue, Pierre Gançarski
2025	—	`conf`	Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing. TerraBytes Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2025	J	`jnl`	Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing. CoRR Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2024	—	`conf`	Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing. ECML/PKDD (9) Emmanuelle Claeys, Myriam Maumy-Bertrand, Pierre Gançarski
2023	J	`jnl`	Constrained DTW preserving shapelets for explainable time-series clustering. Pattern Recognit. Hussein El Amouri, Thomas Andrew Lampert, Pierre Gançarski, Clément Mallet
2023	—	`conf`	Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. ECML/PKDD (5) Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski
2023	J	`jnl`	Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing. IEEE Trans. Knowl. Data Eng. Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
2023	J	`jnl`	Learning domain invariant representations of heterogeneous image data. Mach. Learn. Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski
2022	—	`conf`	CDPS: Constrained DTW-Preserving Shapelets. ECML/PKDD (1) Hussein El Amouri, Thomas Andrew Lampert, Pierre Gançarski, Clément Mallet
2022	J	`jnl`	Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering. Ecol. Informatics Corinne Grac, Agnès Braud, Pierre Gançarski, Agnès Herrmann, Florence Le Ber
2022	J	`jnl`	End-to-end deep representation learning for time series clustering: a comparative study. Data Min. Knowl. Discov. Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
2022	—	`conf`	Incremental constrained clustering with application to remote sensing images time series. ICDM (Workshops) Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier
2022	J	`jnl`	Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms. Ecol. Informatics Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah, Aurélie Leborgne, Pierre Gançarski
2022	—	`conf`	Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. ISBI Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert
2022	J	`jnl`	Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. CoRR Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert
2021	J	`jnl`	Archetypes of delay: An analysis of online developer conversations on delayed work items in IBM Jazz. Inf. Softw. Technol. Abdoul-Djawadou Salaou, Daniela E. Damian, Casper Lassenius, Dragos Voda, Pierre Gançarski
2021	—	`conf`	Classification de séries temporelles hétérogènes pour le suivi de l'état des cours d'eau. EGC Agnès Braud, Pierre Gançarski, Corinne Grac, Agnès Hermann, Florence Le Ber, Harrison Vernier
2021	B	`conf`	Grad Centroid Activation Mapping for Convolutional Neural Networks. ICTAI Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
2021	J	`jnl`	Mining frequent approximate patterns in large networks. Int. J. Imaging Syst. Technol. Kaouthar Driss, Wadii Boulila, Aurélie Leborgne, Pierre Gançarski
2021	—	`conf`	SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation. MACLEAN@PKDD/ECML Mihailo Obrenovic, Thomas Andrew Lampert, François Monde-Kossi, Milos R. Ivanovic, Pierre Gançarski
2021	J	`jnl`	Supervised quality evaluation of binary partition trees for object segmentation. Pattern Recognit. Jimmy Francky Randrianasoa, Pierre Cettour-Janet, Camille Kurtz, Eric Desjardin, Pierre Gançarski, Nathalie Bednarek, François Rousseau, Nicolas Passat
2020	—	`ch.`	Constrained Clustering: Current and New Trends. A Guided Tour of Artificial Intelligence Research (2) (II) Pierre Gançarski, Thi-Bich-Hanh Dao, Bruno Crémilleux, Germain Forestier, Thomas Andrew Lampert
2020	—	`conf`	FODOMUST - Une plateforme de clustering collaboratif sous contraintes incrémental de séries temporelles. EGC Pierre Gançarski, Baptiste Lafabregue, Abdoul-Djawadou Salaou, Harrison Vernier
2020	—	`conf`	Intégration des séries temporelles dans les A/B-Tests. EGC Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand
2019	C	`conf`	Constrained Distance based K-Means Clustering for Satellite Image Time-Series. IGARSS Thomas Andrew Lampert, Baptiste Lafabregue, Pierre Gançarski
2019	J	`jnl`	Constrained Distance-Based Clustering for Satellite Image Time-Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Thomas Andrew Lampert, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Nicolas Serrette, Christel Vrain, Pierre Gançarski
2019	—	`conf`	Deep Constrained Clustering applied to Satellite Image Time Series. MACLEAN@PKDD/ECML Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
2018	—	`conf`	Approche contextuelle par régression pour les tests A/B. EGC Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand
2018	J	`jnl`	Collaborative clustering: Why, when, what and how. Inf. Fusion Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani
2018	J	`jnl`	Constrained distance based clustering for time-series: a comparative and experimental study. Data Min. Knowl. Discov. Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski
2018	J	`jnl`	Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. Pattern Recognit. Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2017	—	`conf`	Approche paramétrique de bandits pour le test A/B. APIA Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
2017	—	`conf`	Conception d'un modèle généraliste pour l'évaluation d'un test A/B. EGC Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
2017	B	`conf`	Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation. ICIP Jimmy Francky Randrianasoa, Camille Kurtz, Pierre Gançarski, Eric Desjardin, Nicolas Passat
2017	J	`jnl`	Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection. Rev. d'Intelligence Artif. Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2017	B	`conf`	Regression Tree for Bandits Models in A/B Testing. IDA Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
2017	—	`conf`	Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection. EGC Andrés Troya-Galvis, Pierre Gançarski, Isabelle Mougenot, Laure Berti-Équille
2016	—	`conf`	A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images. EGC (best of volume) Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2016	J	`jnl`	An Empirical Study Into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation. IEEE Trans. Image Process. Thomas Andrew Lampert, André Stumpf, Pierre Gançarski
2016	B	`conf`	Collaborative segmentation and classification for remote sensing image analysis. ICPR Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2016	—	`conf`	FODOMUST: une plateforme pour la fouille de données multistratégie multitemporelle. EGC Pierre Gançarski, Abdoul-Djawadou Salaou
2016	B	`conf`	Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression. TPDL Pedro Chahuara, Thomas Andrew Lampert, Pierre Gançarski
2016	J	`jnl`	Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression. CoRR Pedro Chahuara, Thomas Andrew Lampert, Pierre Gançarski
2016	—	`conf`	Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. EGC Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2016	J	`jnl`	Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases. AI Commun. Pierre Gançarski, Anne Puissant, François Petitjean
2015	Misc	`conf`	Semantic rich ICM algorithm for VHR satellite images segmentation. MVA Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski
2015	J	`jnl`	Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Andres Troya-Galvis, Pierre Gançarski, Nicolas Passat, Laure Berti-Équille
2015	Misc	`conf`	VHR satellite image segmentation based on topological unsupervised learning. MVA Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski
2014	J	`jnl`	ANIMITEX. Analyse d'images fondée sur des informations textuelles. Ingénierie des Systèmes d Inf. Mathieu Roche, Maguelonne Teisseire, Bruno Crémilleux, Pierre Gançarski, Christian Sallaberry
2014	—	`conf`	Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes. EGC Alban Meffre, Nicolas Lachiche, Pierre Gançarski, Christophe Collet
2014	J	`jnl`	The bane of skew - Uncertain ranks and unrepresentative precision. Mach. Learn. Thomas Andrew Lampert, Pierre Gançarski
2013	J	`jnl`	A hierarchical semantic-based distance for nominal histogram comparison. Data Knowl. Eng. Camille Kurtz, Pierre Gançarski, Nicolas Passat, Anne Puissant
2013	J	`jnl`	An Empirical Study into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation. CoRR Thomas Andrew Lampert, André Stumpf, Pierre Gançarski
2013	C	`conf`	Detecting land-cover modifications from multi-resolution satellite image time series. IGARSS François Petitjean, Jordi Inglada, Pierre Gançarski
2013	B	`conf`	Stain unmixing in brightfield multiplexed immunohistochemistry. ICIP Cédric Wemmert, Juliane M. Kruger, Germain Forestier, Ludovic Sternberger, Friedrich Feuerhake, Pierre Gançarski
2012	B	`conf`	A histogram semantic-based distance for multiresolution image classification. ICIP Camille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant
2012	C	`conf`	Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images. IGARSS Camille Kurtz, Anne Puissant, Nicolas Passat, Pierre Gançarski
2012	J	`jnl`	Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology. Pattern Recognit. Camille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant
2012	Misc	`conf`	Generic architecture for ambient intelligence based on an organizational centered multi-agent approach. UbiComp Patrice Roy, Nicolas Lachiche, Pierre Gançarski, Alban Meffre, Christophe Collet
2012	C	`conf`	Introducing prior knowledge in temporal distances for Satellite Image Time Series analysis. IGARSS François Petitjean, Jordi Inglada, Pierre Gançarski
2012	J	`jnl`	Knowledge-based region labeling for remote sensing image interpretation. Comput. Environ. Urban Syst. Germain Forestier, Anne Puissant, Cédric Wemmert, Pierre Gançarski
2012	C	`conf`	Monitoring urban sprawl from Satellite Image Time Series. IGARSS François Petitjean, Anne Puissant, Pierre Gançarski
2012	C	`conf`	Real-Time Fall Detection Method Based on Hidden Markov Modelling. ICISP Alban Meffre, Christophe Collet, Nicolas Lachiche, Pierre Gançarski
2012	J	`jnl`	Satellite Image Time Series Analysis Under Time Warping. IEEE Trans. Geosci. Remote. Sens. François Petitjean, Jordi Inglada, Pierre Gançarski
2012	J	`jnl`	Spatio-temporal reasoning for the classification of satellite image time series. Pattern Recognit. Lett. François Petitjean, Camille Kurtz, Nicolas Passat, Pierre Gançarski
2012	J	`jnl`	Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment. Theor. Comput. Sci. François Petitjean, Pierre Gançarski
2012	C	`conf`	Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones. IGARSS Jonathan Weber, François Petitjean, Pierre Gançarski
2011	C	`conf`	A context-based approach for the classification of Satellite Image Time Series. IGARSS Camille Kurtz, François Petitjean, Pierre Gançarski
2011	J	`jnl`	A global averaging method for dynamic time warping, with applications to clustering. Pattern Recognit. François Petitjean, Alain Ketterlin, Pierre Gançarski
2011	—	`conf`	An interactive approach for extraction of urban patterns from multisource images. JURSE Camille Kurtz, Anne Puissant, Nicolas Passat, Pierre Gançarski
2011	J	`jnl`	Discovering Significant Evolution Patterns from Satellite Image Time Series. Int. J. Neural Syst. François Petitjean, Florent Masseglia, Pierre Gançarski, Germain Forestier
2011	—	`conf`	Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites. EGC François Petitjean, Florent Masseglia, Pierre Gançarski
2011	C	`conf`	Hierarchical Segmentation of Multiresolution Remote Sensing Images. ISMM Camille Kurtz, Nicolas Passat, Anne Puissant, Pierre Gançarski
2011	C	`conf`	Interactive video segmentation based on quasi-flat zones. ISPA Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski
2011	C	`conf`	Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. ISMM Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski
2011	C	`conf`	Temporal domain adaptation under time warping. IGARSS François Petitjean, Jordi Inglada, Pierre Gançarski
2010	C	`conf`	Analysing Satellite Image Time Series by Means of Pattern Mining. IDEAL François Petitjean, Pierre Gançarski, Florent Masseglia, Germain Forestier
2010	C	`conf`	Background Knowledge Integration in Clustering Using Purity Indexes. KSEM Germain Forestier, Cédric Wemmert, Pierre Gançarski
2010	J	`jnl`	Collaborative clustering with background knowledge. Data Knowl. Eng. Germain Forestier, Pierre Gançarski, Cédric Wemmert
2010	—	`conf`	Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé. EGC Germain Forestier, Cédric Wemmert, Pierre Gançarski
2010	—	`book`	Fouille de données complexes Brigitte Trousse, Pierre Gançarski, Omar Boussaïd
2010	—	`conf`	Towards conflict resolution in collaborative clustering. IEEE Conf. of Intelligent Systems Germain Forestier, Cédric Wemmert, Pierre Gançarski
2010	—	`conf`	Video Object Mining: Issues and Perspectives. ICSC Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski
2009	—	`ed.`	Extraction et gestion des connaissances (EGC'2009), Actes, Strasbourg, France, 27 au 30 janvier 2009 EGC Jean-Gabriel Ganascia, Pierre Gançarski
2009	—	`conf`	Mining Multiple Satellite Sensor Data Using Collaborative Clustering. ICDM Workshops Germain Forestier, Cédric Wemmert, Pierre Gançarski, Jordi Inglada
2009	J	`jnl`	Multiresolution Remote Sensing Image Clustering. IEEE Geosci. Remote. Sens. Lett. Cédric Wemmert, Anne Puissant, Germain Forestier, Pierre Gançarski
2009	—	`ch.`	Pattern Mining and Clustering on Image Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications Marinette Bouet, Pierre Gançarski, Marie-Aude Aufaure, Omar Boussaid
2008	—	`conf`	An Evolutionary Approach for Ontology Driven Image Interpretation. EvoWorkshops Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski
2008	J	`jnl`	Comparison between two coevolutionary feature weighting algorithms in clustering. Pattern Recognit. Pierre Gançarski, Alexandre Blansché, Annett Wania
2008	J	`jnl`	Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in K-means-Based Algorithms. IEEE Trans. Evol. Comput. Pierre Gançarski, Alexandre Blansché
2008	J	`jnl`	Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI. J. Supercomput. Stéphane Genaud, Pierre Gançarski, Guillaume Latu, Alexandre Blansché, Choopan Rattanapoka, Damien Vouriot
2008	—	`conf`	Interprétation d'images basée sur une approche évolutive guidée par une ontologie. EGC Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski
2008	J	`jnl`	Multisource Images Analysis Using Collaborative Clustering. EURASIP J. Adv. Signal Process. Germain Forestier, Cédric Wemmert, Pierre Gançarski
2008	—	`conf`	On Combining Unsupervised Classification and Ontology Knowledge. IGARSS (4) Germain Forestier, Cédric Wemmert, Pierre Gançarski
2008	—	`conf`	Semi-supervised Collaborative Clustering with Partial Background Knowledge. ICDM Workshops Germain Forestier, Cédric Wemmert, Pierre Gançarski
2007	J	`jnl`	Collaborative multi-step mono-level multi-strategy classification. Multim. Tools Appl. Pierre Gançarski, Cédric Wemmert
2007	—	`conf`	Navigation et appariement d'objets géographiques dans une ontologie. EGC Rémy Brisson, Omar Boussaid, Pierre Gançarski, Anne Puissant, Nicolas Durand
2007	—	`conf`	Ontology-Based Object Recognition for Remote Sensing Image Interpretation. ICTAI (1) Nicolas Durand, Sébastien Derivaux, Germain Forestier, Cédric Wemmert, Pierre Gançarski, Omar Boussaid, Anne Puissant
2006	—	`conf`	Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images. ICDM Workshops Alexandre Blansché, Annett Wania, Pierre Gançarski
2006	J	`jnl`	MACLAW: A modular approach for clustering with local attribute weighting. Pattern Recognit. Lett. Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak
2006	J	`jnl`	Notes de lecture : Fouille de Données Complexes. Monde des Util. Anal. Données Omar Boussaid, Pierre Gançarski, Florent Masseglia, Brigitte Trousse, Dominique Desbois
2005	—	`conf`	A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis. EvoWorkshops Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak
2005	—	`conf`	Collaborative multi-strategy classification: application to per-pixel analysis of images. MDM/KDD Pierre Gançarski, Cédric Wemmert
2005	—	`conf`	Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck. MICAI Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak
2005	—	`conf`	Representative Individuals Initialisation in Cooperative Coevolution. IICAI Alexandre Blansché, Pierre Gançarski, Jerzy Korczak
2004	—	`conf`	Sélection d'attributs et classification d'objets complexes. EGC Alexandre Blansché, Pierre Gançarski
2000	J	`jnl`	A Collaborative Approach to Combine Multiple Learning Methods. Int. J. Artif. Intell. Tools Cédric Wemmert, Pierre Gançarski, Jerzy J. Korczak
1999	B	`conf`	An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies. ICTAI Cédric Wemmert, Pierre Gançarski, Jerzy Korczak
1995	A*	`conf`	Conceptual Clustering in Structured Databases: A Practical Approach. KDD Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak
1995	A	`conf`	Hierarchical Clustering of Composite Objects with a Variable Number of Components. AISTATS Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak
1990	—	`conf`	A Generative System for Interactive Animation Based on Reactive System Semantics and on Actor Semantics. GI Jahrestagung (2) Pierre Gançarski