TY  - GEN
N2  - 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. .
DO  - 10.1007/978-3-031-44207-0
DO  - doi
AB  - 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. .
T1  - Artificial neural networks and machine learning - ICANN 2023 :32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.
AU  - Iliadis, Lazaros S.,
AU  - Papaleonidas, Antonios,
AU  - Angelov, Plamen P.,
AU  - Jayne, Chrisina,
VL  - 14254
CN  - QA76.87
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1481094
KW  - Neural networks (Computer science)
KW  - Machine learning
KW  - Artificial intelligence
SN  - 9783031442070
SN  - 3031442075
TI  - Artificial neural networks and machine learning - ICANN 2023 :32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44207-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44207-0
ER  -