Qingquan Zhang, Jialin Liu 0001, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao 0001. Fairer Machine Learning Through Multi-objective Evolutionary Learning. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV. Volume 12894 of Lecture Notes in Computer Science, pages 111-123, Springer, 2021. [doi]
@inproceedings{ZhangLZWMY21,
title = {Fairer Machine Learning Through Multi-objective Evolutionary Learning},
author = {Qingquan Zhang and Jialin Liu 0001 and Zeqi Zhang and Junyi Wen and Bifei Mao and Xin Yao 0001},
year = {2021},
doi = {10.1007/978-3-030-86380-7_10},
url = {https://doi.org/10.1007/978-3-030-86380-7_10},
researchr = {https://researchr.org/publication/ZhangLZWMY21},
cites = {0},
citedby = {0},
pages = {111-123},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV},
editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
volume = {12894},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-86380-7},
}