Artificial Neural Networks and Machine Learning – ICANN 2020

Discover the groundbreaking insights in "Artificial Neural Networks and Machine Learning – ICANN 2020," edited by Igor Farkas and published by Springer Nature Switzerland AG. This comprehensive volume, part of the prestigious LNCS series (volume 12396 and 12397), compiles the proceedings from the 29th International Conference on Artificial Neural Networks, held in Bratislava, Slovakia, in September 2020. Spanning an impressive 891 pages, this first edition features 139 meticulously reviewed full papers that were selected from a competitive pool of 249 submissions. Ideal for researchers, practitioners, and enthusiasts in the field of artificial intelligence, this collection offers a wealth of knowledge on the latest advancements in neural networks and machine learning. Enhance your understanding of cutting-edge technologies and join the conversation in this dynamic field by adding this essential resource to your library.