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Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data.

T. Lorieul, E. Cole, B. Deneu, M. Servajean, P. Bonnet, и A. Joly. CLEF (Working Notes), том 3180 из CEUR Workshop Proceedings, стр. 1940-1956. CEUR-WS.org, (2022)

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Maximilien Servajean

Maximilien Naveau

Maximilien Guislain

Maximilien Ringelmann

Maximilien Levesque

Другие публикации лиц с тем же именем

Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction.A. Joly, H. Goëau, S. Kahl, B. Deneu, M. Servajean, E. Cole, L. Picek, R. Castañeda, I. Bolon, A. Durso и 8 other автор(ы). CLEF, том 12260 из Lecture Notes in Computer Science, стр. 342-363. Springer, (2020)EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries.A. Delaforge, J. Azé, S. Bringay, C. Mollevi, A. Sallaberry, и M. Servajean. IEEE Trans. Vis. Comput. Graph., 29 (10): 4154-4171 (октября 2023)LIRMM@DEFT-2018 - Modèle de classification de la vectorisation des documents (LIRMM DEFT-2018 - Document Vectorization Classification model ).W. Azmy, B. Moulahi, S. Bringay, и M. Servajean. CORIA-TALN-RJC (DeFT), стр. 319-322. ATALA, (2018)Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.A. Joly, H. Goëau, S. Kahl, L. Picek, T. Lorieul, E. Cole, B. Deneu, M. Servajean, A. Durso, H. Glotin и 9 other автор(ы). CLEF, том 13390 из Lecture Notes in Computer Science, стр. 257-285. Springer, (2022)Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences.C. Botella, M. Servajean, P. Bonnet, и A. Joly. CLEF (Working Notes), том 2380 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)A text and GNN based controversy detection method on social media.S. Benslimane, J. Azé, S. Bringay, M. Servajean, и C. Mollevi. World Wide Web (WWW), 26 (2): 799-825 (марта 2023)Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.B. Deneu, M. Servajean, P. Bonnet, C. Botella, F. Munoz, и A. Joly. PLoS Comput. Biol., (2021)Expliquer les prédictions des réseaux de neurones par l'exploration de l'espace de représentation et de la frontière de décision à l'aide d'EBBE-Text.A. Delaforge, J. Azé, A. Sallaberry, M. Servajean, S. Bringay, и C. Mollevi. EGC, том E-37 из RNTI, стр. 485-492. Éditions RNTI, (2021)Controversy Detection: A Text and Graph Neural Network Based Approach.S. Benslimane, J. Azé, S. Bringay, M. Servajean, и C. Mollevi. WISE (1), том 13080 из Lecture Notes in Computer Science, стр. 339-354. Springer, (2021)How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology?B. Deneu, A. Joly, P. Bonnet, M. Servajean, и F. Munoz. ICPR Workshops (6), том 12666 из Lecture Notes in Computer Science, стр. 148-158. Springer, (2020)

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