Hong Ming Tan

According to our database, Hong Ming Tan authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EcoVal: An Efficient Data Valuation Framework for Machine Learning.

Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Hong Ming Tan, Bowei Chen, Mohan S. Kankanhalli

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression.

Geoffrey Chern-Yee Tan, Ziying Wang, Ethel Siew Ee Tan, Rachel Jing Min Ong, Pei En Ooi, Danan Lee, Nikita Rane, Sheryl Yu Xuan Tey, Si Ying Chua, Nicole Goh, Glynis Weibin Lam, Atlanta Chakraborty, Anthony Khye Loong Yew, Sin Kee Ong, Jin Lin Kee, Xin Ying Lim, Nawal Hashim, Sharon Huixian Lu, Michael Meany, Serenella Tolomeo, Christopher Asplund Lee, Hong Ming Tan, Jussi Keppo

Frontiers Neuroinformatics, March, 2023

Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation.

Wei Jing Fong, Hong Ming Tan, Rishabh Garg, Ai Ling Teh, Hong Pan, Varsha Gupta, Bernadus Krishna, Zou Hui Chen, Natania Yovela Purwanto, Fabian Yap, Kok Hian Tan, Kok Yen Jerry Chan, Shiao-Yng Chan, Nicole Goh, Nikita Rane, Ethel Siew Ee Tan, Yuheng Jiang, Mei Han, Michael J. Meaney, Dennis Wang, Jussi Keppo, Geoffrey Chern-Yee Tan

Frontiers Neuroinformatics, March, 2023