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EBBE-Text : Visualisation de la frontière de décision des réseaux de neurones en classification automatique de textes., , , , , и . EGC, том E-37 из RNTI, стр. 169-180. Éditions RNTI, (2021)Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media., , , и . CLEF (Working Notes), том 2380 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Détection de la controverse : une approche basée sur les réseaux de neurones, appliquée aux graphes et aux textes., , , , и . CNIA, стр. 50-51. PFIA, (2023)Divide to Better Classify., , и . AIME, том 12299 из Lecture Notes in Computer Science, стр. 89-99. Springer, (2020)Patient Electronic Health Record as Temporal Graphs for Health Monitoring., , , , , и . MIE, том 302 из Studies in Health Technology and Informatics, стр. 561-565. IOS Press, (2023)Prediction of In-Hospital Mortality from Administrative Data: A Sequential Pattern Mining Approach., , , , , и . MIE, том 281 из Studies in Health Technology and Informatics, стр. 293-297. IOS Press, (2021)A text and GNN based controversy detection method on social media., , , , и . World Wide Web (WWW), 26 (2): 799-825 (марта 2023)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., , , , , и . EGC, том E-37 из RNTI, стр. 485-492. Éditions RNTI, (2021)Controversy Detection: A Text and Graph Neural Network Based Approach., , , , и . WISE (1), том 13080 из Lecture Notes in Computer Science, стр. 339-354. Springer, (2021)Using Kendall-τ Meta-Bagging to Improve Protein-Protein Docking Predictions., , , , и . PRIB, том 7036 из Lecture Notes in Computer Science, стр. 284-295. Springer, (2011)