Germain Forestier
Présentation
Publications
Publications
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Enhancing Time Series Classification with Diversity-Driven Neural Network EnsemblesIEEE International Joint Conference on Neural Networks (IJCNN), Jun 2025, Rome, France. pp.1-10, ⟨10.1109/IJCNN64981.2025.11228372⟩ |
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A Comparative Study of CNNs and Vision-Language Models for Chart Image ClassificationInternational Conference on Agents and Artificial Intelligence (ICAART), Feb 2025, Porto, France. pp.816 - 827, ⟨10.5220/0013374500003890⟩ |
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Urban trees species classification using Sentinel-2 and Planetscope satellite image time series2025 Joint Urban Remote Sensing Event (JURSE), May 2025, Tunis, France. pp.1-4, ⟨10.1109/JURSE60372.2025.11076039⟩ |
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Étude Comparative des CNNs et des Vision-Language Models pour la Classification d'Images de GraphiquesORASIS 2025, ISEN Yncréa Ouest, Jun 2025, Le Croisic, France |
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Automated Coding of French Emergency Calls Using BERTIEEE International Symposium on Computer-Based Medical Systems (CBMS), Jun 2025, Madrid, Spain. pp.220-225, ⟨10.1109/CBMS65348.2025.00053⟩ |
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Deep Neural Network Architectures for Advanced Hiking Map GenerationInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), Feb 2025, Porto, Portugal. pp.531-541, ⟨10.5220/0013351700003905⟩ |
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Prédiction du risque d'échec dans un MOOC : une approche basée sur l'analyse des séries temporelles multivariées12e conférence sur les environnements informatiques pour l’apprentissage humain (Eiah) 2025, Association des technologies de l'information pour l'éducation et la formation (Atief), Jun 2025, Villeneuve d’Ascq (Lille), France. pp.416-426, ⟨10.48550/arXiv.2507.21118⟩ |
Démarche portfolio pour l’APC (Approche Par Compétences), IA et évaluation par les pairs, vers un futur bon ménage à 3Journée de rentrée ELAN, Oct 2024, Mulhouse, France |
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Improving Urban Tree Species Classification with High Resolution Satellite Imagery and Machine LearningIEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2024, Athènes, Greece. pp.4679 - 4682, ⟨10.1109/igarss53475.2024.10642787⟩ |
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A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural NetworksInternational Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Jul 2024, Jeju Island, South Korea. pp.166 - 181, ⟨10.1007/978-981-97-8705-0_11⟩ |
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Weighted Average of Human Motion Sequences for Improving Rehabilitation AssessmentECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2024, Vilnius, Lithuania. pp.131 - 146, ⟨10.1007/978-3-031-77066-1_8⟩ |
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Self-supervised learning for the exploration of continuous seismic records at the Fani Maoré submarine volcano (Mayotte)European Geosciences Union General Assembly 2024 (EGU24), 0000, à renseigner, Unknown Region. ⟨10.5194/egusphere-egu24-15278⟩ |
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Finding Foundation Models for Time Series Classification with a PreText TaskPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) - International Workshop on Temporal Analytics, May 2024, Taipei, Taiwan. pp.123 - 135, ⟨10.1007/978-981-97-2650-9_10⟩ |
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COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series ClassificationIEEE International Conference on Big Data (BigData), Dec 2024, Washington, United States. pp.1229-1236, ⟨10.1109/BigData62323.2024.10825872⟩ |
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Comparison of deep learning architectures for colon cancer mutation detectionIEEE International Symposium on Computer Based Medical Systems (CBMS), Jun 2023, L'Aquila, Italy. ⟨10.1109/CBMS58004.2023.00244⟩ |
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ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter AveragingECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2023, Torino, Italy. pp.127 - 142, ⟨10.1007/978-3-031-49896-1_9⟩ |
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Augmentation de données pour la classification de séries temporelles avec des modèles d'apprentissage profondsORASIS 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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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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LITE: Light Inception with boosTing tEchniques for Time Series ClassificationIEEE 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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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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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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Comparaison des architectures d'apprentissage profond pour la détection des mutations du cancer du côlonORASIS 2023, Laboratoire LIS, UMR 7020, 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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A study of Knowledge Distillation in Fully Convolutional Network for Time Series ClassificationInternational Joint Conference on Neural Networks (IJCNN), Jul 2022, Padua, France. pp.1-8, ⟨10.1109/IJCNN55064.2022.9892915⟩ |
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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⟩ |
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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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Data Augmentation for Time Series Classification with Deep Learning ModelsECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2022, Grenoble, France. pp.117 - 132, ⟨10.1007/978-3-031-24378-3_8⟩ |
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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⟩ |
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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⟩ |
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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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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⟩ |
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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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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⟩ |
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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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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⟩ |
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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 |
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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 |
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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⟩ |
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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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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 |
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Time Series Averaging Using Multi-Tasking AutoencoderIEEE 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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Real-Time Detection of Glomeruli in Renal PathologyIEEE International Symposium on Computer-Based Medical Systems (CBMS), Jul 2020, Rochester (on line), United States. pp.350-355, ⟨10.1109/cbms49503.2020.00072⟩ |
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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⟩ |
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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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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_11⟩ |
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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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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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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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Strategies for Training Stain Invariant CNNSIEEE International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, Italy. pp.905-909, ⟨10.1109/ISBI.2019.8759266⟩ |
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Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduelsJournées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2019, Metz, France. pp.375-376 |
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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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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⟩ |
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Data augmentation using synthetic data for time series classification with deep residual networksECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), 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⟩ |
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Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clésEGC 2018, 2018, Paris, France. pp.371-372 |
Role of Task Complexity and Training in Crowdsourced Image AnnotationMICCAI Workshop on Computational Pathology, Sep 2018, Grenade, Spain. pp.44-51, ⟨10.1007/978-3-030-00949-6_6⟩ |
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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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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⟩ |
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Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalitiesInternational Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2017, Ljubljana, Slovenia. pp.19-24, ⟨10.1109/ispa.2017.8073562⟩ |
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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, United States. pp.260-264, ⟨10.1109/ictai.2017.00049⟩ |
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Generating Synthetic Time Series to Augment Sparse DatasetsIEEE International Conference on Data Mining (ICDM), Nov 2017, New Orleans, United States. pp.865-870, ⟨10.1109/icdm.2017.106⟩ |
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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⟩ |
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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, United States. pp.917-922, ⟨10.1109/BigData.2017.8258009⟩ |
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Web usage prediction and recommendation using web session clusteringInternational Conference on Digital Information Management (ICDIM), Sep 2016, Porto, Portugal. pp.107-113, ⟨10.1109/icdim.2016.7829779⟩ |
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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⟩ |
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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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⟩ |
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Synthesizing whole slide imagesInternational 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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Web site audience segmentation using hybrid alignment techniquesInternational Workshop on Pattern Mining and Application of Big Data, PAKDD, May 2015, Hô Chi Minh-Ville, Vietnam. pp.29-40, ⟨10.1007/978-3-319-25660-3_3⟩ |
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Fast segmentation for texture-based cartography of whole slide imagesInternational Conference on Computer Vision Theory and Applications (VISAPP), Jan 2014, Lisbon, Portugal. pp.309-319, ⟨10.5220/0004687403090319⟩ |
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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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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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Dynamic Time Warping Averaging of Time Series allows Faster and more Accurate ClassificationIEEE International Conference on Data Mining (ICDM), Dec 2014, Shenzhen, China. pp.470-479, ⟨10.1109/ICDM.2014.27⟩ |
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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⟩ |
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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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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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Analyzing the composition of cities using spatial clusteringACM SIGKDD International Workshop on Urban Computing (UrbComp), Aug 2013, Chicago, United States. pp.1-8, ⟨10.1145/2505821.2505827⟩ |
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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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Learning fuzzy rules to characterize objects of interest from remote sensing imagesIEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2013, Melbourne, France. ⟨10.1109/IGARSS.2013.6723453⟩ |
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⟩ |
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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 |
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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⟩ |
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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 |
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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 |
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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⟩ |
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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⟩ |
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Analysing Satellite Image Time Series by means of Pattern MiningInternational Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Sep 2010, Paisley, United Kingdom. pp.45-52, ⟨10.1007/978-3-642-15381-5_6⟩ |
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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⟩ |
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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⟩ |
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Mining spectral libraries to study sensors' discrimination abilitySPIE Europe Remote Sensing, Aug 2009, Berlin, Germany. ⟨10.1117/12.830392⟩ |
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An Evolutionary Approach for Ontology Driven Image InterpretationEuropean Workshop on Evolutionary Computation in Image Analysis and Signal Processing, Jun 2008, Naples, Italy. pp.295-305, ⟨10.1007/978-3-540-78761-7_30⟩ |
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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⟩ |
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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 |
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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⟩ |
Software and seminar format to jointly teach computational pathology in biomedical and computational academic curriculaEuropean Congress on Digital Pathology, Jun 2025, Barcelone, Spain. 2025 |
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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⟩ |
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Constrained Clustering: Current and New TrendsPierre Marquis; Odile Papini; Henri Prade. A Guided Tour of Artificial Intelligence Research, 2, Springer, pp.447-484, 2020, 978-3-030-06167-8. ⟨10.1007/978-3-030-06167-8_14⟩ |
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An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images2020 |