A Generative System for Interactive Animation Based on Reactive System Semantics and on Actor Semantics. - Pierre Gançarski (GI Jahrestagung (2), 1990)

Hierarchical Clustering of Composite Objects with a Variable Number of Components. - Alain Ketterlin; Pierre Gançarski; Jerzy J. Korczak (AISTATS, 1995)

Conceptual Clustering in Structured Databases: A Practical Approach. - Alain Ketterlin; Pierre Gançarski; Jerzy J. Korczak (KDD, 1995)

An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies. - Cédric Wemmert; Pierre Gançarski; Jerzy Korczak 001 (ICTAI, 1999)

A Collaborative Approach to Combine Multiple Learning Methods. - Cédric Wemmert; Pierre Gançarski; Jerzy J. Korczak (Int. J. Artif. Intell. Tools, 2000)

Sélection d'attributs et classification d'objets complexes. - Alexandre Blansché; Pierre Gançarski (EGC, 2004)

A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis. - Alexandre Blansché; Pierre Gançarski; Jerzy J. Korczak (EvoWorkshops, 2005)

Representative Individuals Initialisation in Cooperative Coevolution. - Alexandre Blansché; Pierre Gançarski; Jerzy Korczak 001 (IICAI, 2005)

Collaborative multi-strategy classification: application to per-pixel analysis of images. - Pierre Gançarski; Cédric Wemmert (MDM@KDD, 2005)

Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck. - Alexandre Blansché; Pierre Gançarski; Jerzy J. Korczak (MICAI, 2005)

Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images. - Alexandre Blansché; Annett Wania; Pierre Gançarski (ICDM Workshops, 2006)

Notes de lecture : Fouille de Données Complexes. - Omar Boussaid; Pierre Gançarski; Florent Masseglia; Brigitte Trousse; Dominique Desbois (Monde des Util. Anal. Données, 2006)

MACLAW: A modular approach for clustering with local attribute weighting. - Alexandre Blansché; Pierre Gançarski; Jerzy J. Korczak (Pattern Recognit. Lett., 2006)

Navigation et appariement d'objets géographiques dans une ontologie. - Rémy Brisson; Omar Boussaid; Pierre Gançarski; Anne Puissant; Nicolas Durand 001 (EGC, 2007)

Ontology-Based Object Recognition for Remote Sensing Image Interpretation. - Nicolas Durand 001; Sébastien Derivaux; Germain Forestier; Cédric Wemmert; Pierre Gançarski; Omar Boussaid; Anne Puissant (ICTAI (1), 2007)

Collaborative multi-step mono-level multi-strategy classification. - Pierre Gançarski; Cédric Wemmert (Multim. Tools Appl., 2007)

An Evolutionary Approach for Ontology Driven Image Interpretation. - Germain Forestier; Sébastien Derivaux; Cédric Wemmert; Pierre Gançarski (EvoWorkshops, 2008)

Interprétation d'images basée sur une approche évolutive guidée par une ontologie. - Germain Forestier; Sébastien Derivaux; Cédric Wemmert; Pierre Gançarski (EGC, 2008)

Semi-supervised Collaborative Clustering with Partial Background Knowledge. - Germain Forestier; Cédric Wemmert; Pierre Gançarski (ICDM Workshops, 2008)

On Combining Unsupervised Classification and Ontology Knowledge. - Germain Forestier; Cédric Wemmert; Pierre Gançarski (IGARSS (4), 2008)

Multisource Images Analysis Using Collaborative Clustering. - Germain Forestier; Cédric Wemmert; Pierre Gançarski (EURASIP J. Adv. Signal Process., 2008)

Comparison between two coevolutionary feature weighting algorithms in clustering. - Pierre Gançarski; Alexandre Blansché; Annett Wania (Pattern Recognit., 2008)

Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in K-means-Based Algorithms. - Pierre Gançarski; Alexandre Blansché (IEEE Trans. Evol. Comput., 2008)

Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI. - Stéphane Genaud; Pierre Gançarski; Guillaume Latu; Alexandre Blansché; Choopan Rattanapoka; Damien Vouriot (J. Supercomput., 2008)

Pattern Mining and Clustering on Image Databases. - Marinette Bouet; Pierre Gançarski; Marie-Aude Aufaure; Omar Boussaid (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Mining Multiple Satellite Sensor Data Using Collaborative Clustering. - Germain Forestier; Cédric Wemmert; Pierre Gançarski; Jordi Inglada (ICDM Workshops, 2009)

Multiresolution Remote Sensing Image Clustering. - Cédric Wemmert; Anne Puissant; Germain Forestier; Pierre Gançarski (IEEE Geosci. Remote. Sens. Lett., 2009)

Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé. - Germain Forestier; Cédric Wemmert; Pierre Gançarski (EGC, 2010)

Analysing Satellite Image Time Series by Means of Pattern Mining. - François Petitjean; Pierre Gançarski; Florent Masseglia; Germain Forestier (IDEAL, 2010)

Towards conflict resolution in collaborative clustering. - Germain Forestier; Cédric Wemmert; Pierre Gançarski (IEEE Conf. of Intelligent Systems, 2010)

Background Knowledge Integration in Clustering Using Purity Indexes. - Germain Forestier; Cédric Wemmert; Pierre Gançarski (KSEM, 2010)

Video Object Mining: Issues and Perspectives. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ICSC, 2010)

Collaborative clustering with background knowledge. - Germain Forestier; Pierre Gançarski; Cédric Wemmert (Data Knowl. Eng., 2010)

Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites. - François Petitjean; Florent Masseglia; Pierre Gançarski (EGC, 2011)

A context-based approach for the classification of Satellite Image Time Series. - Camille Kurtz; François Petitjean; Pierre Gançarski (IGARSS, 2011)

Temporal domain adaptation under time warping. - François Petitjean; Jordi Inglada; Pierre Gançarski (IGARSS, 2011)

Interactive video segmentation based on quasi-flat zones. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ISPA, 2011)

Hierarchical Segmentation of Multiresolution Remote Sensing Images. - Camille Kurtz; Nicolas Passat; Anne Puissant; Pierre Gançarski (ISMM, 2011)

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ISMM, 2011)

An interactive approach for extraction of urban patterns from multisource images. - Camille Kurtz; Anne Puissant; Nicolas Passat; Pierre Gançarski (JURSE, 2011)

Discovering Significant Evolution Patterns from Satellite Image Time Series. - François Petitjean; Florent Masseglia; Pierre Gançarski; Germain Forestier (Int. J. Neural Syst., 2011)

A global averaging method for dynamic time warping, with applications to clustering. - François Petitjean; Alain Ketterlin; Pierre Gançarski (Pattern Recognit., 2011)

Generic architecture for ambient intelligence based on an organizational centered multi-agent approach. - Patrice Roy; Nicolas Lachiche; Pierre Gançarski; Alban Meffre; Christophe Collet 001 (UbiComp, 2012)

A histogram semantic-based distance for multiresolution image classification. - Camille Kurtz; Nicolas Passat; Pierre Gançarski; Anne Puissant (ICIP, 2012)

Real-Time Fall Detection Method Based on Hidden Markov Modelling. - Alban Meffre; Christophe Collet 001; Nicolas Lachiche; Pierre Gançarski (ICISP, 2012)

Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images. - Camille Kurtz; Anne Puissant; Nicolas Passat; Pierre Gançarski (IGARSS, 2012)

Introducing prior knowledge in temporal distances for Satellite Image Time Series analysis. - François Petitjean; Jordi Inglada; Pierre Gançarski (IGARSS, 2012)

Monitoring urban sprawl from Satellite Image Time Series. - François Petitjean; Anne Puissant; Pierre Gançarski (IGARSS, 2012)

Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones. - Jonathan Weber; François Petitjean; Pierre Gançarski (IGARSS, 2012)

Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology. - Camille Kurtz; Nicolas Passat; Pierre Gançarski; Anne Puissant (Pattern Recognit., 2012)

Spatio-temporal reasoning for the classification of satellite image time series. - François Petitjean; Camille Kurtz; Nicolas Passat; Pierre Gançarski (Pattern Recognit. Lett., 2012)

Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment. - François Petitjean; Pierre Gançarski (Theor. Comput. Sci., 2012)

Satellite Image Time Series Analysis Under Time Warping. - François Petitjean; Jordi Inglada; Pierre Gançarski (IEEE Trans. Geosci. Remote. Sens., 2012)

Knowledge-based region labeling for remote sensing image interpretation. - Germain Forestier; Anne Puissant; Cédric Wemmert; Pierre Gançarski (Comput. Environ. Urban Syst., 2012)

Stain unmixing in brightfield multiplexed immunohistochemistry. - Cédric Wemmert; Juliane M. Kruger; Germain Forestier; Ludovic Sternberger; Friedrich Feuerhake; Pierre Gançarski (ICIP, 2013)

Detecting land-cover modifications from multi-resolution satellite image time series. - François Petitjean; Jordi Inglada; Pierre Gançarski (IGARSS, 2013)

A hierarchical semantic-based distance for nominal histogram comparison. - Camille Kurtz; Pierre Gançarski; Nicolas Passat; Anne Puissant (Data Knowl. Eng., 2013)

Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes. - Alban Meffre; Nicolas Lachiche; Pierre Gançarski; Christophe Collet 001 (EGC, 2014)

ANIMITEX. Analyse d'images fondée sur des informations textuelles. - Mathieu Roche; Maguelonne Teisseire; Bruno Crémilleux; Pierre Gançarski; Christian Sallaberry (Ingénierie des Systèmes d Inf., 2014)

The bane of skew - Uncertain ranks and unrepresentative precision. - Thomas Andrew Lampert; Pierre Gançarski (Mach. Learn., 2014)

VHR satellite image segmentation based on topological unsupervised learning. - Nistor Grozavu; Nicoleta Rogovschi; Guénaël Cabanes; Andres Troya-Galvis; Pierre Gançarski (MVA, 2015)

Semantic rich ICM algorithm for VHR satellite images segmentation. - Jérémie Sublime; Andres Troya-Galvis; Younès Bennani; Antoine Cornuéjols; Pierre Gançarski (MVA, 2015)

Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. - Andres Troya-Galvis; Pierre Gançarski; Nicolas Passat; Laure Berti-Équille (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression. - Pedro Chahuara; Thomas Andrew Lampert; Pierre Gançarski (TPDL, 2016)

FODOMUST: une plateforme pour la fouille de données multistratégie multitemporelle. - Pierre Gançarski; Abdoul-Djawadou Salaou (EGC, 2016)

Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (EGC, 2016)

A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (EGC (best of volume), 2016)

Collaborative segmentation and classification for remote sensing image analysis. - Andres Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (ICPR, 2016)

Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases. - Pierre Gançarski; Anne Puissant; François Petitjean (AI Commun., 2016)

An Empirical Study Into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation. - Thomas Andrew Lampert; André Stumpf; Pierre Gançarski (IEEE Trans. Image Process., 2016)

Approche paramétrique de bandits pour le test A/B. - Emmanuelle Claeys; Pierre Gançarski; Myriam Maumy-Bertrand; Hubert Wassner (APIA, 2017)

Conception d'un modèle généraliste pour l'évaluation d'un test A/B. - Emmanuelle Claeys; Pierre Gançarski; Myriam Maumy-Bertrand; Hubert Wassner (EGC, 2017)

Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection. - Andrés Troya-Galvis; Pierre Gançarski; Isabelle Mougenot; Laure Berti-Équille (EGC, 2017)

Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation. - Jimmy Francky Randrianasoa; Camille Kurtz; Pierre Gançarski; Eric Desjardin; Nicolas Passat (ICIP, 2017)

Regression Tree for Bandits Models in A/B Testing. - Emmanuelle Claeys; Pierre Gançarski; Myriam Maumy-Bertrand; Hubert Wassner (IDA, 2017)

Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (Rev. d'Intelligence Artif., 2017)

Approche contextuelle par régression pour les tests A/B. - Emmanuelle Claeys; Pierre Gançarski; Myriam Maumy-Bertrand (EGC, 2018)

Constrained distance based clustering for time-series: a comparative and experimental study. - Thomas Andrew Lampert; Thi-Bich-Hanh Dao; Baptiste Lafabregue; Nicolas Serrette; Germain Forestier; Bruno Crémilleux; Christel Vrain; Pierre Gançarski (Data Min. Knowl. Discov., 2018)

Collaborative clustering: Why, when, what and how. - Antoine Cornuéjols; Cédric Wemmert; Pierre Gançarski; Younès Bennani (Inf. Fusion, 2018)

Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (Pattern Recognit., 2018)

Constrained Distance based K-Means Clustering for Satellite Image Time-Series. - Thomas Andrew Lampert; Baptiste Lafabregue; Pierre Gançarski (IGARSS, 2019)

Deep Constrained Clustering applied to Satellite Image Time Series. - Baptiste Lafabregue; Jonathan Weber; Pierre Gançarski; Germain Forestier (MACLEAN@PKDD/ECML, 2019)

Constrained Distance-Based Clustering for Satellite Image Time-Series. - Thomas Andrew Lampert; Baptiste Lafabregue; Thi-Bich-Hanh Dao; Nicolas Serrette; Christel Vrain; Pierre Gançarski (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Constrained Clustering: Current and New Trends. - Pierre Gançarski; Thi-Bich-Hanh Dao; Bruno Crémilleux; Germain Forestier; Thomas Andrew Lampert (A Guided Tour of Artificial Intelligence Research (2) (II), 2020)

Intégration des séries temporelles dans les A/B-Tests. - Emmanuelle Claeys; Pierre Gançarski; Myriam Maumy-Bertrand (EGC, 2020)

FODOMUST - Une plateforme de clustering collaboratif sous contraintes incrémental de séries temporelles. - Pierre Gançarski; Baptiste Lafabregue; Abdoul-Djawadou Salaou; Harrison Vernier (EGC, 2020)

Classification de séries temporelles hétérogènes pour le suivi de l'état des cours d'eau. - Agnès Braud; Pierre Gançarski; Corinne Grac; Agnès Hermann; Florence Le Ber; Harrison Vernier (EGC, 2021)

Grad Centroid Activation Mapping for Convolutional Neural Networks. - Baptiste Lafabregue; Jonathan Weber; Pierre Gançarski; Germain Forestier (ICTAI, 2021)

SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation. - Mihailo Obrenovic; Thomas Andrew Lampert; François Monde-Kossi; Milos R. Ivanovic; Pierre Gançarski (MACLEAN@PKDD/ECML, 2021)

Mining frequent approximate patterns in large networks. - Kaouthar Driss; Wadii Boulila; Aurélie Leborgne; Pierre Gançarski (Int. J. Imaging Syst. Technol., 2021)

Archetypes of delay: An analysis of online developer conversations on delayed work items in IBM Jazz. - Abdoul-Djawadou Salaou; Daniela E. Damian; Casper Lassenius; Dragos Voda; Pierre Gançarski (Inf. Softw. Technol., 2021)

Supervised quality evaluation of binary partition trees for object segmentation. - Jimmy Francky Randrianasoa; Pierre Cettour-Janet; Camille Kurtz; Eric Desjardin; Pierre Gançarski; Nathalie Bednarek; François Rousseau 002; Nicolas Passat (Pattern Recognit., 2021)

Incremental constrained clustering with application to remote sensing images time series. - Baptiste Lafabregue; Pierre Gançarski; Jonathan Weber; Germain Forestier (ICDM (Workshops), 2022)

Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. - Zeeshan Nisar; Jelica Vasiljevic; Pierre Gançarski; Thomas Andrew Lampert (ISBI, 2022)

CDPS: Constrained DTW-Preserving Shapelets. - Hussein El Amouri; Thomas Andrew Lampert; Pierre Gançarski; Clément Mallet (ECML/PKDD (1), 2022)

End-to-end deep representation learning for time series clustering: a comparative study. - Baptiste Lafabregue; Jonathan Weber; Pierre Gançarski; Germain Forestier (Data Min. Knowl. Discov., 2022)

Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms. - Zouhayra Ayadi; Wadii Boulila; Imed Riadh Farah; Aurélie Leborgne; Pierre Gançarski (Ecol. Informatics, 2022)

Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering. - Corinne Grac; Agnès Braud; Pierre Gançarski; Agnès Herrmann; Florence Le Ber (Ecol. Informatics, 2022)

Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. - Mihailo Obrenovic; Thomas Andrew Lampert; Milos R. Ivanovic; Pierre Gançarski (ECML/PKDD (5), 2023)

Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing. - Emmanuelle Claeys; Pierre Gançarski; Myriam Maumy-Bertrand; Hubert Wassner (IEEE Trans. Knowl. Data Eng., 2023)

Learning domain invariant representations of heterogeneous image data. - Mihailo Obrenovic; Thomas Andrew Lampert; Milos R. Ivanovic; Pierre Gançarski (Mach. Learn., 2023)

Constrained DTW preserving shapelets for explainable time-series clustering. - Hussein El Amouri; Thomas Andrew Lampert; Pierre Gançarski; Clément Mallet (Pattern Recognit., 2023)

Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing. - Emmanuelle Claeys; Myriam Maumy-Bertrand; Pierre Gançarski (ECML/PKDD (9), 2024)

Apprendre avec peu d'exemples : Une approche auto-supervisée basée sur les segments avec application à la télédétection. - Antoine Saget; Baptiste Lafabregue; Antoine Cornuéjols; Pierre Gançarski (EGC, 2025)

Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing. - Antoine Saget; Baptiste Lafabregue; Antoine Cornuéjols; Pierre Gançarski (CoRR, 2025)