Machine Learning and Principles and Practice of Knowledge Discovery in Databases / Communications in Computer and Information Science Bd.1524 (PDF)
International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
(Sprache: Englisch)
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...
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Produktinformationen zu „Machine Learning and Principles and Practice of Knowledge Discovery in Databases / Communications in Computer and Information Science Bd.1524 (PDF)“
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 IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)
Workshop on eXplainable 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 (MLiSE 2021)
Workshop on MIning Data for financial applications (MIDAS 2021)
Sixth Workshop on Data Science for Social Good (SoGood 2021)
Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 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)
Bibliographische Angaben
- 2022, 1st ed. 2021, 882 Seiten, Englisch
- Herausgegeben: Michael Kamp, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Irena Koprinska, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Adrien Bibal, Christopher Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, Tassadit Bouadi, M. Saqib Nawaz, Sebastian Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Benoît Frénay, Rita Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy
- Verlag: Springer International Publishing
- ISBN-10: 3030937364
- ISBN-13: 9783030937362
- Erscheinungsdatum: 17.02.2022
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- Dateiformat: PDF
- Grösse: 76 MB
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Sprache:
Englisch
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