Fatemeh Chahkoutahi
Fatemeh Chahkoutahi
Mehdi Khashei
Naser Molaverdi
Loss functions in classification: An comprehensive overview and comparative study.
113778
2025
184
Appl. Soft Comput.
https://doi.org/10.1016/j.asoc.2025.113778
db/journals/asc/asc184.html#ChahkoutahiKM25
streams/journals/asc
Mehdi Khashei
Fatemeh Chahkoutahi
Ali Zeinal Hamadani
Reliable jumping deep learning (RJDL) classifiers.
487-503
2025
May
16
J. Ambient Intell. Humaniz. Comput.
4-5
https://doi.org/10.1007/s12652-025-04957-5
db/journals/jaihc/jaihc16.html#KhasheiCH25
streams/journals/jaihc
Fatemeh Chahkoutahi
Mehdi Khashei
Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains.
107415
2024
128
Eng. Appl. Artif. Intell.
https://doi.org/10.1016/j.engappai.2023.107415
db/journals/eaai/eaai128.html#ChahkoutahiK24
Mehdi Khashei
Fatemeh Chahkoutahi
A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting.
107182
2021
155
Comput. Ind. Eng.
https://doi.org/10.1016/j.cie.2021.107182
db/journals/candie/candie155.html#KhasheiC21
Ali Zeinal Hamadani
Mehdi Khashei
Naser Molaverdi