This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on Io T, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on e Xplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLi SE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (So Good 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (Phar ML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)
Linara Adilova & Giuseppina Andresini
Machine Learning and Principles and Practice of Knowledge Discovery in Databases [EPUB ebook]
International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
Machine Learning and Principles and Practice of Knowledge Discovery in Databases [EPUB ebook]
International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
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Język Angielski ● Format EPUB ● ISBN 9783030937362 ● Redaktor Linara Adilova & Giuseppina Andresini ● Wydawca Springer International Publishing ● Opublikowany 2022 ● Do pobrania 3 czasy ● Waluta EUR ● ID 8317994 ● Ochrona przed kopiowaniem Adobe DRM
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