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Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1.

, , , , , , and . CoRR, (2017)

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Détection de changements dans des flots de données qualitatives., , , and . EGC, volume E-26 of Revue des Nouvelles Technologies de l'Information, page 517-520. Hermann-Éditions, (2014)Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification., , , , and . IGARSS, page 4881-4884. IEEE, (2019)Deep Triplet-Driven Semi-supervised Embedding Clustering., and . DS, volume 11828 of Lecture Notes in Computer Science, page 220-234. Springer, (2019)Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation., , , and . CoRR, (2020)Toward Spatio-Spectral Analysis of Sentinel-2 Time Series Data for Land Cover Mapping., , and . IEEE Geosci. Remote. Sens. Lett., 17 (2): 307-311 (2020)From Context to Distance: Learning Dissimilarity for Categorical Data Clustering., , and . ACM Trans. Knowl. Discov. Data, 6 (1): 1:1-1:25 (2012)Knowledge-Based Representation for Transductive Multilingual Document Classification., , and . ECIR, volume 9022 of Lecture Notes in Computer Science, page 92-103. (2015)Mining frequent subgraphs in multigraphs., , and . Inf. Sci., (2018)Analyse des dynamiques spatio-temporelles à partir de séries temporelles d'images satellitaires., , and . EGC, volume E-33 of Revue des Nouvelles Technologies de l'Information, page 261-272. Éditions RNTI, (2017)Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds., , , and . EGC, volume E-39 of RNTI, page 377-384. Editions RNTI, (2023)