Germain Forestier
134
Documents
Identifiants chercheurs
germain-forestier-
0000-0002-4960-7554
- IdRef : 148679072
- Google Scholar : https://scholar.google.fr/citations?user=QDtJYqkAAAAJ
Présentation
I'm a professor of computer science working on data science with a special interest in processing temporal data (time series). I mostly apply my work to surgical data science, digital pathology and geosciences.
Find more information about my work on my personnal page: <https://germain-forestier.info/>
Publications
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Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés ManuellementORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France
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LITE: Light Inception with boosTing tEchniques for Time Series Classification2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Oct 2023, Thessaloniki, France. pp.1-10, ⟨10.1109/dsaa60987.2023.10302569⟩
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Une approche multi-grilles pour la génération automatique d'une carte de sentiers de randonnée à partir de données GPSORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France
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Exploring inference of a land use and land cover model trained on MultiSenGE datasetJoint Urban Remote Sensing Event (JURSE), May 2023, Heraklion, Greece. pp.1-4, ⟨10.1109/JURSE57346.2023.10144156⟩
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Comparison of deep learning architectures for colon cancer mutation detectionIEEE 36th International Symposium on Computer Based Medical Systems (CBMS 2023), Jun 2023, L'Aquila, Italy. ⟨10.1109/CBMS58004.2023.00244⟩
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Comparaison des architectures d'apprentissage profond pour la détection des mutations du cancer du côlonORASIS 2023 : journées francophones des jeunes chercheurs en vision par ordinateur,, May 2023, Carqueiranne, France
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Enhancing Time Series Classification with Self-Supervised LearningInternational Conference on Agents and Artificial Intelligence (ICAART), Feb 2023, Lisbon, France. pp.40-47, ⟨10.5220/0011611300003393⟩
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Algebraic Graph Transformations for Merging OntologiesInternational Conference on Model and Data Engineering (MEDI), Sep 2022, Larnaca, Cyprus. pp.154 - 168, ⟨10.1007/978-3-319-11587-0_16⟩
Communication dans un congrès
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Deep Representation Learning for Cluster-Level Time Series ForecastingInternational Conference on Time Series and Forecasting (ITISE), Jun 2022, Gran Canaria, Spain. pp.22, ⟨10.3390/engproc2022018022⟩
Communication dans un congrès
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Deep Clustering Methods Study Applied to Satellite Images Time SeriesIEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2022, Kuala Lumpur, Malaysia. pp.195-198, ⟨10.1109/igarss46834.2022.9884322⟩
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A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification2022 International Joint Conference on Neural Networks (IJCNN), Jul 2022, Padua, France. pp.1-8, ⟨10.1109/IJCNN55064.2022.9892915⟩
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Deep Learning For Time Series Classification Using New Hand-Crafted Convolution FiltersIEEE International Conference on Big Data (Big Data), Dec 2022, Osaka, Japan. pp.972-981, ⟨10.1109/bigdata55660.2022.10020496⟩
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Deep Learning-Based Sentiment Analysis for Predicting Financial MovementsInternational Conference on Knowledge Science, Engineering and Management (KSEM), Aug 2022, Singapore, Singapore. pp.586-596, ⟨10.1007/978-3-031-10986-7_47⟩
Communication dans un congrès
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Smooth Perturbations for Time Series Adversarial AttacksPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2022, Chengdu, China. pp.485 - 496, ⟨10.1007/978-3-031-05933-9_38⟩
Communication dans un congrès
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Méthodes de classification du cancer du sein pour les microscopes à réalité augmentéeRFIAP 2022 (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception), Jul 2022, Vannes, France
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Ensemble clustering for histopathological images segmentation using convolutional autoencodersInternational Conference on Computer Vision Theory and Applications (VISAPP), Feb 2022, En ligne, France. pp.933-940, ⟨10.5220/0010835300003124⟩
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Sentiment Analysis Based on Deep Learning in E-CommerceInternational Conference on Knowledge Science, Engineering and Management (KSEM), Aug 2022, Singapore, Singapore. pp.498-507, ⟨10.1007/978-3-031-10986-7_40⟩
Communication dans un congrès
hal-03800268v1
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Incremental constrained clustering with application to remote sensing images time seriesIEEE International Conference on Data Mining Incr'Learn Workshops, Nov 2022, Orlando, United States. pp.814-823, ⟨10.1109/ICDMW58026.2022.00110⟩
Communication dans un congrès
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Grad Centroid Activation Mapping for Convolutional Neural NetworksIEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2021, Washington (virtual), United States. ⟨10.1109/ICTAI52525.2021.00033⟩
Communication dans un congrès
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Classification ensembliste de vidéos de mouvements de fouleORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
Communication dans un congrès
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Ensemble classification of video-recorded crowd movementsInternational Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2021, Zagreb, Croatia. pp.152-158, ⟨10.1109/ISPA52656.2021.9552129⟩
Communication dans un congrès
hal-03800450v1
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Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clusteringAtelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France
Communication dans un congrès
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Auto-encodeur multi-tâches pour le calcul de moyennes de séries temporellesAtelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France
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Détection en temps réel des glomérules en pathologie rénaleORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
Communication dans un congrès
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Real-Time Detection of Glomeruli in Renal Pathology2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), Jul 2020, Rochester (on line), United States. pp.350-355, ⟨10.1109/cbms49503.2020.00072⟩
Communication dans un congrès
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Neural Architecture Search for Time Series ClassificationInternational Joint Conference on Neural Networks (IJCNN), Jul 2020, Glasgow, United Kingdom. ⟨10.1109/IJCNN48605.2020.9206721⟩
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Revealing Long-term Physiological Trajectories Of Grasslands From Legacy B&W Aerial PhotographsXXIVth ISPRS congress, Commission III, Aug 2020, En ligne, France. pp.549-557, ⟨10.5194/isprs-annals-V-3-2020-549-2020⟩
Communication dans un congrès
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Knowledge-Based Categorization of Scientific Articles for Similarity PredictionsInternational Conference on Theory and Practice of Digital Libraries (TPDL), Aug 2020, Lyon, France. pp.147-160, ⟨10.1007/978-3-030-54956-5⟩
Communication dans un congrès
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Time Series Averaging Using Multi-Tasking Autoencoder2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2020, Baltimore, MD, United States. pp.1065-1072, ⟨10.1109/ictai50040.2020.00163⟩
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Automated Machine Learning for Information Retrieval in Scientific ArticlesIEEE Congress on Evolutionary Computation (CEC), Jul 2020, Glasgow, United Kingdom. ⟨10.1109/CEC48606.2020.9185893⟩
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Adversarial Attacks on Deep Neural Networks for Time Series ClassificationInternational Joint Conference on Neural Networks (IJCNN), Jul 2019, Budapest, Hungary. pp.1-8, ⟨10.1109/ijcnn.2019.8851936⟩
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Strategies for Training Stain Invariant CNNS2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, Italy. pp.905-909, ⟨10.1109/ISBI.2019.8759266⟩
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Automatic Alignment of Surgical Videos Using Kinematic DataInternational Conference on Artificial Intelligence in Medicine (AIME), Jun 2019, Poznan, Poland. pp.104 - 113, ⟨10.1007/978-3-030-21642-9_14⟩
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Transfer learning for the classification of video-recorded crowd movementsInternational Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2019, Dubrovnik, Croatia. pp.271-276, ⟨10.1109/ISPA.2019.8868704⟩
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Deep constrained clustering applied to satellite image time seriesECML/PKDD Workshop on Machine Learning for Earth Observation Data (MACLEAN), Sep 2019, Würzburg, Germany
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Deep Neural Network Ensembles for Time Series ClassificationInternational Joint Conference on Neural Networks (IJCNN) 2019, Jul 2019, Budapest, Hungary. pp.1-6, ⟨10.1109/ijcnn.2019.8852316⟩
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Efficient search of the best warping window for Dynamic Time WarpingSIAM International Conference on Data Mining (SDM), May 2018, San Diego, United States. pp.225-233, ⟨10.1137/1.9781611975321.26⟩
Communication dans un congrès
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Data augmentation using synthetic data for time series classification with deep residual networks3nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2018, Dublin, Ireland. ⟨10.48550/arXiv.1808.02455⟩
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Data augmentation using synthetic data for time series classification with deep residual networks3nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2018, Dublin, Ireland. ⟨10.48550/arXiv.1808.02455⟩
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Transfer learning for time series classificationIEEE International Conference on Big Data (Big Data), Dec 2018, Seattle, United States. pp.1367-1376, ⟨10.1109/bigdata.2018.8621990⟩
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Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural NetworksMedical Image Computing and Computer Assisted Intervention (MICCAI), Sep 2018, Granada, Spain. pp.214 - 221, ⟨10.1007/978-3-030-00937-3_25⟩
Communication dans un congrès
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Learn and Participate: Crowdsourcing of Image Annotation Supports Interactive Teaching in Histopathology and Involves Medical Students in Systems Medicine ResearchConference of the European Association of Systems Medicine: Big Data - Transition to Practice, Utrecht, Netherlands, janvier 2018, Jan 2018, Utrecht, Netherlands
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Towards a Semantic Search Engine for Scientific ArticlesInternational Conference on Theory and Practice of Digital Libraries (TPDL), Sep 2017, Thessaloniki, Greece. pp.608 - 611, ⟨10.1007/978-3-319-67008-9_54⟩
Communication dans un congrès
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Using Semantic Relations between Keywords to Categorize Articles from Scientific LiteratureIEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2017, Boston, France. pp.260-264, ⟨10.1109/ictai.2017.00049⟩
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Discovering Discriminative and Interpretable Patterns for Surgical Motion AnalysisInternational Conference on Artificial Intelligence in Medicine (AIME), Jun 2017, Vienna, Austria. pp.136-145, ⟨10.1007/978-3-319-59758-4_15⟩
Communication dans un congrès
hal-01618931v1
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Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities2017 10th International Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2017, Ljubljana, France. pp.19-24, ⟨10.1109/ispa.2017.8073562⟩
Communication dans un congrès
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Judicious Setting of Dynamic Time Warping's Window Width Allows More Accurate Classification of Time SeriesIEEE International Conference on Big Data (Big Data), Dec 2017, Boston, France. pp.917-922, ⟨10.1109/BigData.2017.8258009⟩
Communication dans un congrès
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Generating Synthetic Time Series to Augment Sparse Datasets2017 IEEE International Conference on Data Mining (ICDM), Nov 2017, New Orleans, France. pp.865-870, ⟨10.1109/icdm.2017.106⟩
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Web usage prediction and recommendation using web session clusteringInternational Conference on Digital Information Management (ICDIM), Sep 2016, Porto, France. pp.107-113, ⟨10.1109/icdim.2016.7829779⟩
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Using Glocal Event Alignment for Comparing Sequences of Significantly Different LengthsMachine Learning and Data Mining in Pattern Recognition (MLDM), Jul 2016, New York City, United States. pp.58-72, ⟨10.1007/978-3-319-41920-6_5⟩
Communication dans un congrès
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A Benchmark for Ontologies Merging AssessmentInternational Conference on Knowledge Science, Engineering and Management (KSEM), Oct 2016, Passau, Germany. pp.555 - 566, ⟨10.1007/978-3-319-47650-6_44⟩
Communication dans un congrès
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Synthesizing whole slide images2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2015, Zagreb, France. pp.154-159, ⟨10.1109/ispa.2015.7306050⟩
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hal-03811521v1
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Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical TasksInternational Conference on Artificial Intelligence in Medicine (AIME), Jun 2015, Pavie, Italy. pp.123-132, ⟨10.1007/978-3-319-19551-3_15⟩
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Fast segmentation for texture-based cartography of whole slide imagesInternational Conference on Computer Vision Theory and Applications (VISAPP), 05-08 January 2014, Lisbon, Portugal, Jan 2014, Lisbon, Portugal. pp.309-319, ⟨10.5220/0004687403090319⟩
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Efficient Region-based Classification for Whole Slide ImagesInternational Joint Conference on Computer Vision, Imaging and Computer Graphics, 5-8 january 2017, Lisbon, Portugal, Jan 2014, Lisbonne, Portugal. pp.239-256, ⟨10.1007/978-3-319-25117-2_15⟩
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Dynamic Time Warping Averaging of Time Series allows Faster and more Accurate Classification2014 IEEE International Conference on Data Mining (ICDM), Dec 2014, Shenzhen, China. pp.470-479, ⟨10.1109/ICDM.2014.27⟩
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Approche formelle de fusion d'ontologies à l'aide des grammaires de graphes typésJournées Francophones Extraction et Gestion des Connaissances (EGC)2014:Rennes, France, Jan 2014, Rennes, France. pp.565-568
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Adaptation consistante d'ontologie à l'aide des grammaires de graphesIC - 24èmes Journées francophones d'Ingénierie des Connaissances, Jul 2013, Lille, France
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Learning fuzzy rules to characterize objects of interest from remote sensing imagesIEEE Geoscience and Remote Sensing Symposium (IGARSS), Jul 2013, Melbourne, France. ⟨10.1109/IGARSS.2013.6723453⟩
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Analyzing the composition of cities using spatial clustering2nd ACM SIGKDD International Workshop on Urban Computing (UrbComp 2013). August 11, 2013 - Chicago Sheraton, Chicago, USA, Aug 2013, Chicago, United States. pp.1-8, ⟨10.1145/2505821.2505827⟩
Communication dans un congrès
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Stain unmixing in brightfield multiplexed immunohistochemistryIEEE International Conference on Image Processing (ICIP), Sep 2013, Melbourne, Australia. pp.1125-1129, ⟨10.1109/icip.2013.6738232⟩
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Consistent Ontologies Evolution Using Graph GrammarsInternational Conference on Knowledge Science, Engineering and Management (KSEM), Aug 2013, Dalian, China. pp.64 - 75, ⟨10.1007/978-3-642-39787-5_6⟩
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Big Metamodels are EvilACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS), Sep 2013, Miami, United States. pp.138-153, ⟨10.1007/978-3-642-41533-3_9⟩
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Clustering de séquences d'activités pour l'étude de procédures neurochirurgicales12e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances, Feb 2012, Bordeaux, France. pp.489-494
Communication dans un congrès
inserm-00670007v1
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Design of an ontology for the annotation of object models used for medical image simulationNouvelles méthodologies en imagerie du vivant, Dec 2012, Lyon, France
Communication dans un congrès
hal-00829556v1
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OntoVIP: an ontology for the annotation of object models used for medical image simulationIEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), Sep 2012, La Jolla, United States. pp.110, ⟨10.1109/HISB.2012.35⟩
Communication dans un congrès
hal-00830912v1
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Multi-modality image simulation with the Virtual Imaging Platform: Illustration on cardiac echography and MRIIEEE International Symposium on Biomedical Imaging (ISBI), May 2012, Barcelona, Spain. pp.98-101, ⟨10.1109/ISBI.2012.6235493⟩
Communication dans un congrès
hal-00830243v1
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Assessment of surgical skills using Surgical Processes and Dynamic Time WarpingM2CAI 2011 (MICCAI workshop) - Modelling and Monitoring of Computer-Assisted Intervention, Sep 2011, Toronto, Canada
Communication dans un congrès
inserm-00617017v1
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Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP)International Symposium on Computer-Based Medical Systems (CBMS), Jun 2011, Bristol, United Kingdom. pp.1-6, ⟨10.1109/cbms.2011.5999141⟩
Communication dans un congrès
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Sharing object models for multi-modality medical image simulation: a semantic approachInternational Symposium on Computer-Based Medical Systems (CBMS), 2011, Bristol, UK, United Kingdom. pp.1-6, ⟨10.1109/CBMS.2011.5999167⟩
Communication dans un congrès
hal-01922169v1
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Background Knowledge Integration in Clustering Using Purity IndexesInternational Conference on Knowledge Science, Engineering and Management (KSEM)., Sep 2010, Belfast, United Kingdom. pp.28 - 38, ⟨10.1007/978-3-642-15280-1_6⟩
Communication dans un congrès
hal-03813327v1
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Analysing Satellite Image Time Series by means of Pattern MiningIDEAL 2010 - 11th International Conference on Intelligent Data Engineering and Automated Learning, Sep 2010, Paisley, United Kingdom. pp.45-52, ⟨10.1007/978-3-642-15381-5_6⟩
Communication dans un congrès
hal-03813248v1
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Towards conflict resolution in collaborative clusteringIEEE International Conference Intelligent Systems (IS), Jul 2010, London, United Kingdom. pp.361-366, ⟨10.1109/is.2010.5548343⟩
Communication dans un congrès
hal-03813345v1
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Mining spectral libraries to study sensors' discrimination abilitySPIE Europe Remote Sensing, Aug 2009, Berlin, Germany. ⟨10.1117/12.830392⟩
Communication dans un congrès
hal-01887503v1
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On Combining Unsupervised Classification and Ontology KnowledgeIEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2008, Boston, United States. ⟨10.1109/igarss.2008.4779741⟩
Communication dans un congrès
hal-01887351v1
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Extraction de détecteurs d'objets urbains à partir d'une ontologieJournées Francophones Extraction et Gestion des Connaissances (EGC) Atelier Extraction de COnnaissance à partir d'Images (ECOI),, 2008, Sophia Antipolis, France
Communication dans un congrès
hal-00516099v1
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Ontology-based Object Recognition for Remote Sensing Image InterpretationIEEE International Conference on Tools with Artificial Intelligence (ICTAI), Oct 2007, Patras, Greece. pp.472-479, ⟨10.1109/ICTAI.2007.111⟩
Communication dans un congrès
hal-01463170v2
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Fouille de données complexes - FDC 2014RNTI E-27, 2014
Ouvrages
hal-04535120v1
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Deep Learning for Histopathological Image AnalysisMourad Elloumi. Deep Learning for Biomedical Data Analysis. Techniques, Approaches, and Applications, Springer, pp.153-169, 2021, 978-3-030-71675-2. ⟨10.1007/978-3-030-71676-9_7⟩
Chapitre d'ouvrage
hal-03321639v1
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Constrained Clustering: Current and New TrendsPierre Marquis, Odile Papini, Henri Prade. A Guided Tour of AI Research, 2, Springer, 2020
Chapitre d'ouvrage
hal-02548212v1
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Constrained clustering: current and new trendsA guided tour of artificial intelligence research, 2, Springer Verlag, pp.447-484, 2020, 978-3-030-06167-8. ⟨10.1007/978-3-030-06167-8_14⟩
Chapitre d'ouvrage
hal-04234020v1
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An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images2020
Pré-publication, Document de travail
hal-02925040v1
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