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Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe.

, , and . EGC, volume E-38 of RNTI, page 363-370. Editions RNTI, (2022)

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WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data., , and . WSDM, page 1046-1049. ACM, (2024)Parameters Estimation of Block Mixture Models., and . COMPSTAT, page 491-496. Springer, (2002)Tensor-based Graph Modularity for Text Data Clustering., , , , and . SIGIR, page 2227-2231. ACM, (2022)Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices., and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 687-702. Springer, (2018)Unsupervised and self-supervised deep learning approaches for biomedical text mining., and . Briefings Bioinform., 22 (2): 1592-1603 (2021)Ensemble Block Co-clustering: A Unified Framework for Text Data., , and . CIKM, page 5-14. ACM, (2020)How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach., , and . CIKM, page 2837-2841. ACM, (2021)Etude approfondie des représentations de données textuelles dans l'apprentissage non supervisé., and . EGC, volume E-39 of RNTI, page 361-368. Editions RNTI, (2023)Modèle à Blocs Stochastiques corrigé en degrés pour des graphes dynamiques., , and . EGC, volume E-37 of RNTI, page 349-356. Éditions RNTI, (2021)Unsupervised Methods for the Study of Transformer Embeddings., , and . IDA, volume 12695 of Lecture Notes in Computer Science, page 287-300. Springer, (2021)