Pierre Gançarski

According to our database, Pierre Gançarski authored at least 103 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing.

Emmanuelle Claeys, Myriam Maumy-Bertrand, Pierre Gançarski

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

2023

Constrained DTW preserving shapelets for explainable time-series clustering.

Hussein El Amouri, Thomas Andrew Lampert, Pierre Gançarski, Clément Mallet

Pattern Recognit., November, 2023

Learning domain invariant representations of heterogeneous image data.

Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski

Mach. Learn., October, 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

Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints.

Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

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

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

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

CDPS: Constrained DTW-Preserving Shapelets.

Hussein El Amouri, Thomas Andrew Lampert, Pierre Gançarski, Clément Mallet

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner.

Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Incremental constrained clustering with application to remote sensing images time series.

Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

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, Nicolas Passat

Pattern Recognit., 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

Mining frequent approximate patterns in large networks.

Kaouthar Driss, Wadii Boulila, Aurélie Leborgne, Pierre Gançarski

Int. J. Imaging Syst. Technol., 2021

SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation.

Mihailo Obrenovic, Thomas Andrew Lampert, François Monde-Kossi, Milos R. Ivanovic, Pierre Gançarski

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), 2021

Grad Centroid Activation Mapping for Convolutional Neural Networks.

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

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

Proceedings of the Extraction et Gestion des Connaissances, 2021

2020

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

Pierre Gançarski, Baptiste Lafabregue, Abdoul-Djawadou Salaou, Harrison Vernier

Proceedings of the Extraction et Gestion des Connaissances, 2020

Intégration des séries temporelles dans les A/B-Tests.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand

Proceedings of the Extraction et Gestion des Connaissances, 2020

Constrained Clustering: Current and New Trends.

Pierre Gançarski, Thi-Bich-Hanh Dao, Bruno Crémilleux, Germain Forestier, Thomas Andrew Lampert

Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms, 2020

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

Deep Constrained Clustering applied to Satellite Image Time Series.

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

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

Thomas Andrew Lampert, Baptiste Lafabregue, Pierre Gançarski

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

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

Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille

Pattern Recognit., 2018

Collaborative clustering: Why, when, what and how.

Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani

Inf. Fusion, 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

Approche contextuelle par régression pour les tests A/B.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand

Proceedings of the Extraction et Gestion des Connaissances, 2018

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

Regression Tree for Bandits Models in A/B Testing.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

Proceedings of the Advances in Intelligent Data Analysis XVI, 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

Proceedings of the 2017 IEEE International Conference on Image Processing, 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

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

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

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Approche paramétrique de bandits pour le test A/B.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

Proceedings of the 3ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2017

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

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

Collaborative segmentation and classification for remote sensing image analysis.

Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

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

Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille

Proceedings of the Advances in Knowledge Discovery and Management, 2016

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

Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

FODOMUST: une plateforme pour la fouille de données multistratégie multitemporelle.

Pierre Gançarski, Abdoul-Djawadou Salaou

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

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

Pedro Chahuara, Thomas Andrew Lampert, Pierre Gançarski

Proceedings of the Research and Advanced Technology for Digital Libraries, 2016

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

Semantic rich ICM algorithm for VHR satellite images segmentation.

Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

VHR satellite image segmentation based on topological unsupervised learning.

Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014

The bane of skew - Uncertain ranks and unrepresentative precision.

Thomas Andrew Lampert, Pierre Gançarski

Mach. Learn., 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

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

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2013

A hierarchical semantic-based distance for nominal histogram comparison.

Camille Kurtz, Pierre Gançarski, Nicolas Passat, Anne Puissant

Data Knowl. Eng., 2013

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

François Petitjean, Jordi Inglada, Pierre Gançarski

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Stain unmixing in brightfield multiplexed immunohistochemistry.

Cédric Wemmert, Juliane M. Kruger, Germain Forestier, Ludovic Sternberger, Friedrich Feuerhake, Pierre Gançarski

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Knowledge-based region labeling for remote sensing image interpretation.

Germain Forestier, Anne Puissant, Cédric Wemmert, Pierre Gançarski

Comput. Environ. Urban Syst., 2012

Satellite Image Time Series Analysis Under Time Warping.

François Petitjean, Jordi Inglada, Pierre Gançarski

IEEE Trans. Geosci. Remote. Sens., 2012

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

François Petitjean, Pierre Gançarski

Theor. Comput. Sci., 2012

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

François Petitjean, Camille Kurtz, Nicolas Passat, Pierre Gançarski

Pattern Recognit. Lett., 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

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

Jonathan Weber, François Petitjean, Pierre Gançarski

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Monitoring urban sprawl from Satellite Image Time Series.

François Petitjean, Anne Puissant, Pierre Gançarski

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

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

François Petitjean, Jordi Inglada, Pierre Gançarski

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

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

Camille Kurtz, Anne Puissant, Nicolas Passat, Pierre Gançarski

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Real-Time Fall Detection Method Based on Hidden Markov Modelling.

Alban Meffre, Christophe Collet, Nicolas Lachiche, Pierre Gançarski

Proceedings of the Image and Signal Processing - 5th International Conference, 2012

A histogram semantic-based distance for multiresolution image classification.

Camille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

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

Patrice Roy, Nicolas Lachiche, Pierre Gançarski, Alban Meffre, Christophe Collet

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2011

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

François Petitjean, Alain Ketterlin, Pierre Gançarski

Pattern Recognit., 2011

Discovering Significant Evolution Patterns from Satellite Image Time Series.

François Petitjean, Florent Masseglia, Pierre Gançarski, Germain Forestier

Int. J. Neural Syst., 2011

An interactive approach for extraction of urban patterns from multisource images.

Camille Kurtz, Anne Puissant, Nicolas Passat, Pierre Gançarski

Proceedings of the Joint Urban Remote Sensing Event, 2011

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation.

Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski

Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

Hierarchical Segmentation of Multiresolution Remote Sensing Images.

Camille Kurtz, Nicolas Passat, Anne Puissant, Pierre Gançarski

Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

Interactive video segmentation based on quasi-flat zones.

Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski

Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

Temporal domain adaptation under time warping.

François Petitjean, Jordi Inglada, Pierre Gançarski

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

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

Camille Kurtz, François Petitjean, Pierre Gançarski

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

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

François Petitjean, Florent Masseglia, Pierre Gançarski

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Collaborative clustering with background knowledge.

Germain Forestier, Pierre Gançarski, Cédric Wemmert

Data Knowl. Eng., 2010

Video Object Mining: Issues and Perspectives.

Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski

Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

Background Knowledge Integration in Clustering Using Purity Indexes.

Germain Forestier, Cédric Wemmert, Pierre Gançarski

Proceedings of the Knowledge Science, 2010

Towards conflict resolution in collaborative clustering.

Germain Forestier, Cédric Wemmert, Pierre Gançarski

Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

Analysing Satellite Image Time Series by Means of Pattern Mining.

François Petitjean, Pierre Gançarski, Florent Masseglia, Germain Forestier

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

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

Germain Forestier, Cédric Wemmert, Pierre Gançarski

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009

Multiresolution Remote Sensing Image Clustering.

Cédric Wemmert, Anne Puissant, Germain Forestier, Pierre Gançarski

IEEE Geosci. Remote. Sens. Lett., 2009

Mining Multiple Satellite Sensor Data Using Collaborative Clustering.

Germain Forestier, Cédric Wemmert, Pierre Gançarski, Jordi Inglada

Proceedings of the ICDM Workshops 2009, 2009

Pattern Mining and Clustering on Image Databases.

Marinette Bouet, Pierre Gançarski, Marie-Aude Aufaure, Omar Boussaid

Proceedings of the Database Technologies: Concepts, 2009

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

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

Pierre Gançarski, Alexandre Blansché

IEEE Trans. Evol. Comput., 2008

Comparison between two coevolutionary feature weighting algorithms in clustering.

Pierre Gançarski, Alexandre Blansché, Annett Wania

Pattern Recognit., 2008

Multisource Images Analysis Using Collaborative Clustering.

Germain Forestier, Cédric Wemmert, Pierre Gançarski

EURASIP J. Adv. Signal Process., 2008

On Combining Unsupervised Classification and Ontology Knowledge.

Germain Forestier, Cédric Wemmert, Pierre Gançarski

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Semi-supervised Collaborative Clustering with Partial Background Knowledge.

Germain Forestier, Cédric Wemmert, Pierre Gançarski

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

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

Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

An Evolutionary Approach for Ontology Driven Image Interpretation.

Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski

Proceedings of the Applications of Evolutionary Computing, 2008

2007

Collaborative multi-step mono-level multi-strategy classification.

Pierre Gançarski, Cédric Wemmert

Multim. Tools Appl., 2007

Ontology-Based Object Recognition for Remote Sensing Image Interpretation.

Nicolas Durand, Sébastien Derivaux, Germain Forestier, Cédric Wemmert, Pierre Gançarski, Omar Boussaid, Anne Puissant

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Navigation et appariement d'objets géographiques dans une ontologie.

Rémy Brisson, Omar Boussaid, Pierre Gançarski, Anne Puissant, Nicolas Durand

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006

MACLAW: A modular approach for clustering with local attribute weighting.

Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak

Pattern Recognit. Lett., 2006

Notes de lecture : Fouille de Données Complexes.

Omar Boussaid, Pierre Gançarski, Florent Masseglia, Brigitte Trousse, Dominique Desbois

Monde des Util. Anal. Données, 2006

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

Alexandre Blansché, Annett Wania, Pierre Gançarski

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck.

Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak

Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

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

Pierre Gançarski, Cédric Wemmert

Proceedings of the 6th international workshop on Multimedia data mining, 2005

Representative Individuals Initialisation in Cooperative Coevolution.

Alexandre Blansché, Pierre Gançarski, Jerzy Korczak

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

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

Alexandre Blansché, Pierre Gançarski, Jerzy J. Korczak

Proceedings of the Applications of Evolutionary Computing, 2005

2004

Sélection d'attributs et classification d'objets complexes.

Alexandre Blansché, Pierre Gançarski

Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

2000

A Collaborative Approach to Combine Multiple Learning Methods.

Cédric Wemmert, Pierre Gançarski, Jerzy J. Korczak

Int. J. Artif. Intell. Tools, 2000

1999

An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies.

Cédric Wemmert, Pierre Gançarski, Jerzy Korczak

Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

1995

Conceptual Clustering in Structured Databases: A Practical Approach.

Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Hierarchical Clustering of Composite Objects with a Variable Number of Components.

Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak

Proceedings of the Learning from Data, 1995

1990

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

Pierre Gançarski

Proceedings of the GI, 1990