GENIE: GENetIc Algorithm-Based REliability Assessment Methodology for Deep Neural Networks
autor
vastutusandmed
Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Christian Herglotz, Maksim Jenihhin
allikas
2025 11th International Conference on Computing and Artificial Intelligence : ICCAI 2025 : 28-31 March 2025, Kyoto, Japan : proceedings
ilmumiskoht
Piscataway
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 264-271
konverentsi nimetus, aeg
11th International Conference on Computing and Artificial Intelligence, ICCAI 2025, 28-31 March 2025
konverentsi toimumispaik
Kyoto
ISBN
9798331524913
märkused
Bibliogr.: 15 ref
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
Scopus
klassifikaator
Nazari, S., Taheri, M., Azarpeyvand, A., Afsharchi, M., Herglotz, C., Jenihhin, M. GENIE: GENetIc Algorithm-Based REliability Assessment Methodology for Deep Neural Networks // 2025 11th International Conference on Computing and Artificial Intelligence : ICCAI 2025 : 28-31 March 2025, Kyoto, Japan : proceedings. Piscataway : IEEE, 2025. p. 264-271. https://doi.org/10.1109/ICCAI66501.2025.00049