Machine Learning and Principles and Practice of Knowledge Discovery in Databases (eBook)

International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers, Part IV
Artikelnummer: 978-3-032-25314-9
Einband: PDF
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The 4-volume set CCIS 2558 - 2561 constitutes the refereed proceedings of several workshops held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024, which took place in Vilnius, Lithuania, in September 2024.

The 132 full papers included in these proceedings were carefully reviewed and selected from a total of 272 submissions to the workshops. The papers were organized topical sections as follows:

Part I: Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM Workshop 2024), Machine Learning for Sustainable Power Systems (ML4SPS), Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD) and Workshop on Bias and Fairness in AI (BIAS 2024).

Part II: Workshop on Machine Learning for Chemistry and Chemical Engineering (ML4CCE), Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIM[1][1]works (MLH).

The 4-volume set CCIS 2558 - 2561 constitutes the refereed proceedings of several workshops held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024, which took place in Vilnius, Lithuania, in September 2024.

The 132 full papers included in these proceedings were carefully reviewed and selected from a total of 272 submissions to the workshops. The papers were organized topical sections as follows:

Part I: Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM Workshop 2024), Machine Learning for Sustainable Power Systems (ML4SPS), Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD) and Workshop on Bias and Fairness in AI (BIAS 2024).

Part II: Workshop on Machine Learning for Chemistry and Chemical Engineering (ML4CCE), Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIM[1][1]works (MLH).

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VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2026
Seitenangabe370 S.
AusgabekennzeichenEnglisch
AbbildungenXIII, 370 p. 105 illus., 95 illus. in color.
Masse44'732 KB
PlattformPDF
ReiheCommunications in Computer and Information Science; Artificial Intelligence ; Springer Nature Proceedings excluding Computer Science
AutorCerrato, Mattia (Hrsg.) / Kalinauskaite, Danguole (Hrsg.) / LukoSevicius, Mantas (Hrsg.) / Pechenizkiy, Mykola (Hrsg.) / Sutiene, Kristina (Hrsg.)

Alle Bände der Reihe "Communications in Computer and Information Science; Artificial Intelligence (R0); Springer Nature Proceedings excluding Computer Science"

Weitere Titel von Mattia (Hrsg.) Cerrato

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