Pierre Gançarski

ORCID

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 40

Top Venues

Publications

Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski
Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. ECML/PKDD (5) (2023)
Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski
Learning domain invariant representations of heterogeneous image data. Mach. Learn. 112 (10) (2023)
Hussein El Amouri, Thomas Andrew Lampert, Pierre Gançarski, Clément Mallet
Constrained DTW preserving shapelets for explainable time-series clustering. Pattern Recognit. 143 (2023)
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Hussein El Amouri, Thomas Andrew Lampert, Pierre Gançarski, Clément Mallet
CDPS: Constrained DTW-Preserving Shapelets. ECML/PKDD (1) (2022)
Corinne Grac, Agnès Braud, Pierre Gançarski, Agnès Herrmann, Florence Le Ber
Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering. Ecol. Informatics 72 (2022)
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
End-to-end deep representation learning for time series clustering: a comparative study. Data Min. Knowl. Discov. 36 (1) (2022)
Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. CoRR (2022)
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah, Aurélie Leborgne, Pierre Gançarski
Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms. Ecol. Informatics 69 (2022)
Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier
Incremental constrained clustering with application to remote sensing images time series. ICDM (Workshops) (2022)
Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. ISBI (2022)
Kaouthar Driss, Wadii Boulila, Aurélie Leborgne, Pierre Gançarski
Mining frequent approximate patterns in large networks. Int. J. Imaging Syst. Technol. 31 (3) (2021)
Agnès Braud, Pierre Gançarski, Corinne Grac, Agnès Hermann, Florence Le Ber, Harrison Vernier
Classification de séries temporelles hétérogènes pour le suivi de l'état des cours d'eau. EGC (2021)
Mihailo Obrenovic, Thomas Andrew Lampert, François Monde-Kossi, Milos Ivanovic, Pierre Gançarski
SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation. MACLEAN@PKDD/ECML (2021)
Jimmy Francky Randrianasoa, Pierre Cettour-Janet, Camille Kurtz, Eric Desjardin, Pierre Gançarski, Nathalie Bednarek, François Rousseau, Nicolas Passat
Supervised quality evaluation of binary partition trees for object segmentation. Pattern Recognit. 111 (2021)
Abdoul-Djawadou Salaou, Daniela E. Damian, Casper Lassenius, Dragos Voda, Pierre Gançarski
Archetypes of delay: An analysis of online developer conversations on delayed work items in IBM Jazz. Inf. Softw. Technol. 129 (2021)
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
Grad Centroid Activation Mapping for Convolutional Neural Networks. ICTAI (2021)
Pierre Gançarski, Baptiste Lafabregue, Abdoul-Djawadou Salaou, Harrison Vernier
FODOMUST - Une plateforme de clustering collaboratif sous contraintes incrémental de séries temporelles. EGC (2020)
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand
Intégration des séries temporelles dans les A/B-Tests. EGC (2020)
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
Deep Constrained Clustering applied to Satellite Image Time Series. MACLEAN@PKDD/ECML (2019)
Thomas Andrew Lampert, Baptiste Lafabregue, Pierre Gançarski
Constrained Distance based K-Means Clustering for Satellite Image Time-Series. IGARSS (2019)
Thomas Andrew Lampert, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Nicolas Serrette, Christel Vrain, Pierre Gançarski
Constrained Distance-Based Clustering for Satellite Image Time-Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (11) (2019)
Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski
Constrained distance based clustering for time-series: a comparative and experimental study. Data Min. Knowl. Discov. 32 (6) (2018)
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand
Approche contextuelle par régression pour les tests A/B. EGC (2018)
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. Pattern Recognit. 73 (2018)
Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani
Collaborative clustering: Why, when, what and how. Inf. Fusion 39 (2018)
Jimmy Francky Randrianasoa, Camille Kurtz, Pierre Gançarski, Eric Desjardin, Nicolas Passat
Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation. ICIP (2017)
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
Regression Tree for Bandits Models in A/B Testing. IDA (2017)
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection. Rev. d'Intelligence Artif. 31 (1-2) (2017)
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
Conception d'un modèle généraliste pour l'évaluation d'un test A/B. EGC (2017)
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
Approche paramétrique de bandits pour le test A/B. APIA (2017)
Andrés Troya-Galvis, Pierre Gançarski, Isabelle Mougenot, Laure Berti-Équille
Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection. EGC (2017)
Pedro Chahuara, Thomas Andrew Lampert, Pierre Gançarski
Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression. TPDL (2016)
Pedro Chahuara, Thomas Andrew Lampert, Pierre Gançarski
Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression. CoRR (2016)
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. EGC (2016)
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images. EGC (best of volume) (2016)
Thomas Andrew Lampert, André Stumpf, Pierre Gançarski
An Empirical Study Into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation. IEEE Trans. Image Process. 25 (6) (2016)
Pierre Gançarski, Abdoul-Djawadou Salaou
FODOMUST: une plateforme pour la fouille de données multistratégie multitemporelle. EGC (2016)
Pierre Gançarski, Anne Puissant, François Petitjean
Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases. AI Commun. 29 (6) (2016)
Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Collaborative segmentation and classification for remote sensing image analysis. ICPR (2016)
Andres Troya-Galvis, Pierre Gançarski, Nicolas Passat, Laure Berti-Équille
Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (5) (2015)
Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski
Semantic rich ICM algorithm for VHR satellite images segmentation. MVA (2015)
Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski
VHR satellite image segmentation based on topological unsupervised learning. MVA (2015)
Thomas Andrew Lampert, Pierre Gançarski
The bane of skew - Uncertain ranks and unrepresentative precision. Mach. Learn. 97 (1-2) (2014)
Mathieu Roche, Maguelonne Teisseire, Bruno Crémilleux, Pierre Gançarski, Christian Sallaberry
ANIMITEX. Analyse d'images fondée sur des informations textuelles. Ingénierie des Systèmes d Inf. 19 (3) (2014)
Alban Meffre, Nicolas Lachiche, Pierre Gançarski, Christophe Collet
Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes. EGC (2014)
Thomas Andrew Lampert, André Stumpf, Pierre Gançarski
An Empirical Study into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation. CoRR (2013)
François Petitjean, Jordi Inglada, Pierre Gançarski
Detecting land-cover modifications from multi-resolution satellite image time series. IGARSS (2013)
Camille Kurtz, Pierre Gançarski, Nicolas Passat, Anne Puissant
A hierarchical semantic-based distance for nominal histogram comparison. Data Knowl. Eng. 87 (2013)
Cédric Wemmert, Juliane M. Kruger, Germain Forestier, Ludovic Sternberger, Friedrich Feuerhake, Pierre Gançarski
Stain unmixing in brightfield multiplexed immunohistochemistry. ICIP (2013)
François Petitjean, Pierre Gançarski
Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment. Theor. Comput. Sci. 414 (1) (2012)
François Petitjean, Camille Kurtz, Nicolas Passat, Pierre Gançarski
Spatio-temporal reasoning for the classification of satellite image time series. Pattern Recognit. Lett. 33 (13) (2012)
Camille Kurtz, Anne Puissant, Nicolas Passat, Pierre Gançarski
Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images. IGARSS (2012)
Alban Meffre, Christophe Collet, Nicolas Lachiche, Pierre Gançarski
Real-Time Fall Detection Method Based on Hidden Markov Modelling. ICISP (2012)
Germain Forestier, Anne Puissant, Cédric Wemmert, Pierre Gançarski
Knowledge-based region labeling for remote sensing image interpretation. Comput. Environ. Urban Syst. 36 (5) (2012)
Patrice Roy, Nicolas Lachiche, Pierre Gançarski, Alban Meffre, Christophe Collet
Generic architecture for ambient intelligence based on an organizational centered multi-agent approach. UbiComp (2012)
François Petitjean, Jordi Inglada, Pierre Gançarski
Introducing prior knowledge in temporal distances for Satellite Image Time Series analysis. IGARSS (2012)
François Petitjean, Jordi Inglada, Pierre Gançarski
Satellite Image Time Series Analysis Under Time Warping. IEEE Trans. Geosci. Remote. Sens. 50 (8) (2012)
Jonathan Weber, François Petitjean, Pierre Gançarski
Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones. IGARSS (2012)
Camille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology. Pattern Recognit. 45 (2) (2012)
Camille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant
A histogram semantic-based distance for multiresolution image classification. ICIP (2012)
François Petitjean, Anne Puissant, Pierre Gançarski
Monitoring urban sprawl from Satellite Image Time Series. IGARSS (2012)
Camille Kurtz, Nicolas Passat, Anne Puissant, Pierre Gançarski
Hierarchical Segmentation of Multiresolution Remote Sensing Images. ISMM (2011)
François Petitjean, Florent Masseglia, Pierre Gançarski
Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites. EGC (2011)
Camille Kurtz, François Petitjean, Pierre Gançarski
A context-based approach for the classification of Satellite Image Time Series. IGARSS (2011)
François Petitjean, Alain Ketterlin, Pierre Gançarski
A global averaging method for dynamic time warping, with applications to clustering. Pattern Recognit. 44 (3) (2011)
Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski
Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. ISMM (2011)
Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski
Interactive video segmentation based on quasi-flat zones. ISPA (2011)
François Petitjean, Florent Masseglia, Pierre Gançarski, Germain Forestier
Discovering Significant Evolution Patterns from Satellite Image Time Series. Int. J. Neural Syst. 21 (6) (2011)
Camille Kurtz, Anne Puissant, Nicolas Passat, Pierre Gançarski
An interactive approach for extraction of urban patterns from multisource images. JURSE (2011)
François Petitjean, Jordi Inglada, Pierre Gançarski
Temporal domain adaptation under time warping. IGARSS (2011)
Germain Forestier, Cédric Wemmert, Pierre Gançarski
Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé. EGC (2010)
Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski
Video Object Mining: Issues and Perspectives. ICSC (2010)
Germain Forestier, Cédric Wemmert, Pierre Gançarski
Towards conflict resolution in collaborative clustering. IEEE Conf. of Intelligent Systems (2010)
Germain Forestier, Cédric Wemmert, Pierre Gançarski
Background Knowledge Integration in Clustering Using Purity Indexes. KSEM (2010)
François Petitjean, Pierre Gançarski, Florent Masseglia, Germain Forestier
Analysing Satellite Image Time Series by Means of Pattern Mining. IDEAL (2010)
Germain Forestier, Pierre Gançarski, Cédric Wemmert
Collaborative clustering with background knowledge. Data Knowl. Eng. 69 (2) (2010)
Cédric Wemmert, Anne Puissant, Germain Forestier, Pierre Gançarski
Multiresolution Remote Sensing Image Clustering. IEEE Geosci. Remote. Sens. Lett. 6 (3) (2009)
Germain Forestier, Cédric Wemmert, Pierre Gançarski, Jordi Inglada
Mining Multiple Satellite Sensor Data Using Collaborative Clustering. ICDM Workshops (2009)
Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski
Interprétation d'images basée sur une approche évolutive guidée par une ontologie. EGC (2008)
Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski
An Evolutionary Approach for Ontology Driven Image Interpretation. EvoWorkshops (2008)
Germain Forestier, Cédric Wemmert, Pierre Gançarski
On Combining Unsupervised Classification and Ontology Knowledge. IGARSS (4) (2008)
Stéphane Genaud, Pierre Gançarski, Guillaume Latu, Alexandre Blansché, Choopan Rattanapoka, Damien Vouriot
Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI. J. Supercomput. 43 (1) (2008)
Pierre Gançarski, Alexandre Blansché, Annett Wania
Comparison between two coevolutionary feature weighting algorithms in clustering. Pattern Recognit. 41 (3) (2008)
Germain Forestier, Cédric Wemmert, Pierre Gançarski
Multisource Images Analysis Using Collaborative Clustering. EURASIP J. Adv. Signal Process. 2008 (2008)
Pierre Gançarski, Alexandre Blansché
Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in K-means-Based Algorithms. IEEE Trans. Evol. Comput. 12 (5) (2008)
Germain Forestier, Cédric Wemmert, Pierre Gançarski
Semi-supervised Collaborative Clustering with Partial Background Knowledge. ICDM Workshops (2008)
Rémy Brisson, Omar Boussaid, Pierre Gançarski, Anne Puissant, Nicolas Durand
Navigation et appariement d'objets géographiques dans une ontologie. EGC (2007)
Nicolas Durand, Sébastien Derivaux, Germain Forestier, Cédric Wemmert, Pierre Gançarski, Omar Boussaid, Anne Puissant
Ontology-Based Object Recognition for Remote Sensing Image Interpretation. ICTAI (1) (2007)
Pierre Gançarski, Cédric Wemmert
Collaborative multi-step mono-level multi-strategy classification. Multim. Tools Appl. 35 (1) (2007)
Omar Boussaid, Pierre Gançarski, Florent Masseglia, Brigitte Trousse, Dominique Desbois
Notes de lecture : Fouille de Données Complexes. Monde des Util. Anal. Données 34 (2006)
Alexandre Blansché, Annett Wania, Pierre Gançarski
Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images. ICDM Workshops (2006)
Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak
MACLAW: A modular approach for clustering with local attribute weighting. Pattern Recognit. Lett. 27 (11) (2006)
Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak
Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck. MICAI (2005)
Pierre Gançarski, Cédric Wemmert
Collaborative multi-strategy classification: application to per-pixel analysis of images. MDM@KDD (2005)
Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak
Representative Individuals Initialisation in Cooperative Coevolution. IICAI (2005)
Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak
A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis. EvoWorkshops (2005)
Alexandre Blansché, Pierre Gançarski
Sélection d'attributs et classification d'objets complexes. EGC (2004)
Cédric Wemmert, Pierre Gançarski, Jerzy J. Korczak
A Collaborative Approach to Combine Multiple Learning Methods. Int. J. Artif. Intell. Tools 9 (1) (2000)
Cédric Wemmert, Pierre Gançarski, Jerzy J. Korczak
An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies. ICTAI (1999)

Pierre Gançarski.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pierre Gançarski