@article{1481094,
      note = {International conference proceedings.},
      author = {Iliadis, Lazaros S., and Papaleonidas, Antonios, and  Angelov, Plamen P., and Jayne, Chrisina,},
      url = {http://library.usi.edu/record/1481094},
      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 I /. International Conference on  Artificial Neural Networks (European Neural Network  Society)},
      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. .},
      doi = {https://doi.org/10.1007/978-3-031-44207-0},
      recid = {1481094},
      pages = {1 online resource (xxxv, 593 pages) :},
}