Germain Forestier
20
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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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
hal-03800178v1
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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⟩
Communication dans un congrès
hal-03469780v1
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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
hal-03451019v1
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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
hal-03339627v1
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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
hal-03339642v1
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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
hal-03604158v1
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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
Communication dans un congrès
hal-03604169v1
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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
hal-03353271v1
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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⟩
Communication dans un congrès
hal-03536043v1
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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⟩
Communication dans un congrès
hal-03668466v1
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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⟩
Communication dans un congrès
hal-03205966v1
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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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