Artificial Neural Networks and Machine Learning – ICANN 2023
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.
| ISBN: | 9783031441943 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 529 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Angelov, Plamen Iliadis, Lazaros Jayne, Chrisina Papaleonidas, Antonios |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 22.09.2023 |
| Untertitel: | 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VII |
| Schlagworte: | adversarial neural networks artificial neural networks (NN) convolutional neural networks deep learning federated learning graph neural networks machine learning recurrent neural networks spiking neural networks timeseries |