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2024

Book Chapter

Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach

Han, Kun, Koay, Abigail, Ko, Ryan K. L., Chen, Weitong and Xu, Miao (2024). Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. Lecture Notes in Computer Science. (pp. 293-307) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-1242-0_22

Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach

2023

Book Chapter

Words can be confusing: stereotype bias removal in text classification at the word level

Shen, Shaofei, Zhang, Mingzhe, Chen, Weitong, Bialkowski, Alina and Xu, Miao (2023). Words can be confusing: stereotype bias removal in text classification at the word level. Advances in knowledge discovery and data mining. (pp. 99-111) edited by Hisashi Kashima, Tsuyoshi Ide and Wen-Chih Peng. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-33383-5_8

Words can be confusing: stereotype bias removal in text classification at the word level