Iliadis Artificial Neural Networks and Machine Learning – ICANN 2023

Artificial Neural Networks and Machine Learning – ICANN 2023

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32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VI

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Beschreibung

The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.

The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.  



Autor*in

Lazaros Iliadis

Themen in »Artificial Neural Networks and Machine Learning – ICANN 2023«

artificial neural networks (NN) machine learning deep learning federated learning convolutional neural networks spiking neural networks timeseries adversarial neural networks recurrent neural networks graph neural networks optimization natural language cybersecurity text mining bioinformatics

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Details

ISBN: 9783031442230
Verlag: Springer International Publishing
Erscheinung: 21.09.2023

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