Machine Learning and Knowledge Discovery in Databases [electronic resource] : 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.
Contributor(s): Amini, Massih-Reza [editor.]
| Canu, Stéphane [editor.] | Fischer, Asja [editor.] | Guns, Tias [editor.] | Kralj Novak, Petra [editor.] | Tsoumakas, Grigorios [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 13714Publisher: Cham : Springer International Publishing : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XLVII, 759 p. 199 illus., 193 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031263903.Subject(s): Artificial intelligence | Computer engineering | Computer networks | Machine learning | Graph theory | Neural networks (Computer science) | Language and languages -- Study and teaching | Artificial Intelligence | Computer Engineering and Networks | Machine Learning | Graph Theory | Mathematical Models of Cognitive Processes and Neural Networks | Language Teaching and LearningAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online Networks and graphs -- knowledge graphs -- social network analysis -- graph neural networks -- natural language processing and text mining -- conversational systems.
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.
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