Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I

Bouadi, Tassadit; Kamp, Michael; Bibal, Adrien; Frenay, Benoit; Krishnamurthy, Yamuna; Adilova, Linara; Kang, Bo; Koprinska, Irena; Oramas, Jose; Galarraga, Luis

Springer Nature Switzerland AG

02/2022

882

Mole

Inglês

9783030937355

15 a 20 dias

1365

Descrição não disponível.
Advances in Interpretable Machine Learning and Artificial Intelligence.- Parallel, Distributed, and Federated Learning.- Graph Embedding and Mining.- Machine Learning for Irregular Time Series.- IoT, Edge, and Mobile for Embedded Machine Learning.- eXplainable Knowledge Discovery in Data Mining.- Bias and Fairness in AI.- International Workshop on Active Inference.
artificial intelligence;computer hardware;computer networks;computer security;computer systems;computer vision;engineering;image processing;inference;inference engines;internet;machine learning;network protocols;neural networks;probability;signal processing;software engineering