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Disambiguation of "Servajean, Maximilien"

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

, , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1940-1956. CEUR-WS.org, (2022)

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Maximilien Servajean

Maximilien Naveau

Maximilien Guislain

Maximilien Ringelmann

Maximilien Levesque

 

Other publications of authors with the same name

Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction., , , , , , , , , and 8 other author(s). CLEF, volume 12260 of Lecture Notes in Computer Science, page 342-363. Springer, (2020)EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries., , , , , and . IEEE Trans. Vis. Comput. Graph., 29 (10): 4154-4171 (October 2023)LIRMM@DEFT-2018 - Modèle de classification de la vectorisation des documents (LIRMM DEFT-2018 - Document Vectorization Classification model )., , , and . CORIA-TALN-RJC (DeFT), page 319-322. ATALA, (2018)Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction., , , , , , , , , and 9 other author(s). CLEF, volume 13390 of Lecture Notes in Computer Science, page 257-285. Springer, (2022)Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences., , , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Attention-based Modeling for Emotion Detection and Classification in Textual Conversations., , , and . CoRR, (2019)Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet., , , and . CLEF, volume 11696 of Lecture Notes in Computer Science, page 248-259. Springer, (2019)Pourquoi dois-je croire ta prédiction ? Comment expliquer les résultats d'une classification automatique de sentiments à partir de textes., , , and . IC, page 112-124. (2019)Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide., , , and . IEEE Trans. Knowl. Data Eng., 35 (1): 770-783 (2023)Explaining controversy through community analysis on Twitter., , , , , and . IDEAS, page 148-155. ACM, (2023)