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A promising combination of approaches for solving complex text classification tasks: application to the classification of scientific papers into patents classes., , and . Int. J. Knowl. Learn., 9 (1/2): 142-163 (2014)Classification dynamique d'un flux documentaire : une évaluation statique préalable de l'algorithme GERMEN, , and . CoRR, (2008)Feature Selection and Graph Representation for an Analysis of Science Fields Evolution: An Application to the Digital Library ISTEX., and . BIR@ECIR, volume 2345 of CEUR Workshop Proceedings, page 88-99. CEUR-WS.org, (2019)A New Incremental Growing Neural Gas Algorithm Based on Clusters Labeling Maximization: Application to Clustering of Heterogeneous Textual Data., , , and . IEA/AIE (3), volume 6098 of Lecture Notes in Computer Science, page 139-148. Springer, (2010)Performing and Visualizing Temporal Analysis of Large Text Data Issued for Open Sources: Past and Future Methods., , and . BDAS, volume 613 of Communications in Computer and Information Science, page 56-76. Springer, (2016)Efficient supervised and semi-supervised approaches for affiliations disambiguation., , and . Scientometrics, 97 (1): 47-58 (2013)Diachronic'Explorer: Keep track of your clusters., , and . RCIS, page 1-2. IEEE, (2016)Optimizing text classification through efficient feature selection based on quality metric., , , and . J. Intell. Inf. Syst., 45 (3): 379-396 (2015)Enhancing Patent Expertise through Automatic Matching with Scientific Papers., , , and . Discovery Science, volume 7569 of Lecture Notes in Computer Science, page 299-312. Springer, (2012)Une nouvelle approche pour la sélection de variables basée sur une métrique d'estimation de la qualité., , and . EGC, volume E-26 of Revue des Nouvelles Technologies de l'Information, page 143-154. Hermann-Éditions, (2014)