Qikang Wan, Xiongshi Deng, Min Li, Haotian Yang. SDDSMOTE: Synthetic Minority Oversampling Technique based on Sample Density Distribution for Enhanced Classification on Imbalanced Microarray Data. In ICCDA 2022: The 6th International Conference on Compute and Data Analysis, Virtual Event / Shanghai China, February 25 - 27, 2022. pages 35-42, ACM, 2022. [doi]
@inproceedings{WanDLY22,
title = {SDDSMOTE: Synthetic Minority Oversampling Technique based on Sample Density Distribution for Enhanced Classification on Imbalanced Microarray Data},
author = {Qikang Wan and Xiongshi Deng and Min Li and Haotian Yang},
year = {2022},
doi = {10.1145/3523089.3523096},
url = {https://doi.org/10.1145/3523089.3523096},
researchr = {https://researchr.org/publication/WanDLY22},
cites = {0},
citedby = {0},
pages = {35-42},
booktitle = {ICCDA 2022: The 6th International Conference on Compute and Data Analysis, Virtual Event / Shanghai China, February 25 - 27, 2022},
publisher = {ACM},
isbn = {978-1-4503-9547-2},
}