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RT Book, Whole SR Electronic DC OPAC T1 Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II / edited by Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas T2 Lecture Notes in Artificial Intelligence. ISSN:29459141 A1 Amini, Massih-Reza A1 Canu, Stéphane A1 Fischer, Asja A1 Guns, Tias A1 Kralj Novak, Petra A1 Tsoumakas, Grigorios A1 SpringerLink (Online service) YR 2023 FD 2023 SP XLVII, 759 p. 199 illus., 193 illus. in color K1 Artificial intelligence K1 Computer engineering K1 Computer networks K1 Machine learning K1 Graph theory K1 Neural networks (Computer science) K1 Language and languages -- Study and teaching K1 Artificial Intelligence K1 Computer Engineering and Networks K1 Machine Learning K1 Graph Theory K1 Mathematical Models of Cognitive Processes and Neural Networks K1 Language Teaching and Learning ED 1st ed. 2023. PB Springer International Publishing : Imprint: Springer PP Cham SN 9783031263903 LA English (英語) CL LCC:Q334-342 CL LCC:TA347.A78 CL DC23:006.3 NO Networks and graphs -- knowledge graphs -- social network analysis -- graph neural networks -- natural language processing and text mining -- conversational systems NO Chapters “On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis” and “Contextualized Graph Embeddings for Adverse Drug Event Detection” are licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/ by/4.0/). For further details see license information in the chapter NO HTTP:URL=https://doi.org/10.1007/978-3-031-26390-3 NO 書誌ID=EB00004088; LK [E Book]https://doi.org/10.1007/978-3-031-26390-3 OL 30