TY  - GEN
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. .
AU  - Iliadis, Lazaros S.,
AU  - Papaleonidas, Antonios,
AU  - Angelov, Plamen P.,
AU  - Jayne, Chrisina,
CN  - QA76.87
DO  - 10.1007/978-3-031-44198-1
DO  - doi
ID  - 1481099
KW  - Neural networks (Computer science)
KW  - Machine learning
KW  - Artificial intelligence
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44198-1
N1  - International conference proceedings.
N1  - Includes author index.
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. .
SN  - 9783031441981
SN  - 3031441982
T1  - Artificial neural networks and machine learning - ICANN 2023 :32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.
TI  - Artificial neural networks and machine learning - ICANN 2023 :32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44198-1
VL  - 14261
ER  -