Artificial Neural Networks and Machine Learning – ICANN 2021

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Artificial Neural Networks and Machine Learning – ICANN 2021 is written by Igor Farkaš and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3030863409 (ISBN 10) and 9783030863401 (ISBN 13).

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks. *The conference was held online 2021 due to the COVID-19 pandemic.