@article{1481091, recid = {1481091}, author = {Iliadis, Lazaros S., and Papaleonidas, Antonios, and Angelov, Plamen P., and Jayne, Chrisina,}, title = {Artificial neural networks and machine learning - ICANN 2023 : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings., Part V /. International Conference on Artificial Neural Networks (European Neural Network Society)}, pages = {1 online resource (xxxv, 589 pages) :}, note = {International conference proceedings.}, abstract = {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 2629, 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. .}, url = {http://library.usi.edu/record/1481091}, doi = {https://doi.org/10.1007/978-3-031-44192-9}, }