Germain Forestier
15
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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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
hal-03936924v1
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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
Communication dans un congrès
hal-02326219v1
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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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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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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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