Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli, Theodore B. Trafalis. Optimizing Data Augmentation Policy Through Random Unidimensional Search. In Dimitris E. Simos, Varvara Rasskazova, Francesco Archetti, Ilias S. Kotsireas, Panos M. Pardalos, editors, Learning and Intelligent Optimization - 16th International Conference, LION 2022, Milos Island, Greece, June 5-10, 2022, Revised Selected Papers. Volume 13621 of Lecture Notes in Computer Science, pages 306-318, Springer, 2022. [doi]
@inproceedings{DongPKTST22,
title = {Optimizing Data Augmentation Policy Through Random Unidimensional Search},
author = {Xiaomeng Dong and Michael Potter and Gaurav Kumar and Yun-Chan Tsai and V. Ratna Saripalli and Theodore B. Trafalis},
year = {2022},
doi = {10.1007/978-3-031-24866-5_23},
url = {https://doi.org/10.1007/978-3-031-24866-5_23},
researchr = {https://researchr.org/publication/DongPKTST22},
cites = {0},
citedby = {0},
pages = {306-318},
booktitle = {Learning and Intelligent Optimization - 16th International Conference, LION 2022, Milos Island, Greece, June 5-10, 2022, Revised Selected Papers},
editor = {Dimitris E. Simos and Varvara Rasskazova and Francesco Archetti and Ilias S. Kotsireas and Panos M. Pardalos},
volume = {13621},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-24866-5},
}