Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini. OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms. In M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin, editors, 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021. pages 1138-1145, IEEE, 2021. [doi]
@inproceedings{ZahediMA21,
title = {OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms},
author = {Leila Zahedi and Farid Ghareh Mohammadi and M. Hadi Amini},
year = {2021},
doi = {10.1109/ICMLA52953.2021.00186},
url = {https://doi.org/10.1109/ICMLA52953.2021.00186},
researchr = {https://researchr.org/publication/ZahediMA21},
cites = {0},
citedby = {0},
pages = {1138-1145},
booktitle = {20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021},
editor = {M. Arif Wani and Ishwar K. Sethi and Weisong Shi and Guangzhi Qu and Daniela Stan Raicu and Ruoming Jin},
publisher = {IEEE},
isbn = {978-1-6654-4337-1},
}