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Intelligent Data Engineering and Automated Learning – IDEAL 2021, 1st ed. 2021 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings Information Systems and Applications, incl. Internet/Web, and HCI Series
Coordonnateurs : Yin Hujun, Camacho David, Tino Peter, Allmendinger Richard, Tallón-Ballesteros Antonio J., Tang Ke, Cho Sung-Bae, Novais Paulo, Nascimento Susana
The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
Date de parution : 11-2021
Ouvrage de 649 p.
15.5x23.5 cm
Thème d’Intelligent Data Engineering and Automated Learning –... :
Mots-clés :
applied computing; bioinformatics; computer vision; computing methodologies; data analytics; data management systems; data mining; deep learning; deep neural networks; human computer interaction; image processing; informatoin retrieval; machine learning; neural neetworks; neural networks; neural systems; signal processing; web applications