106 citations · 109 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2023★ 106 cited
Advances of Machine Learning in Materials Science: Ideas and Techniques
Sue Sin Chong, Yi Sheng Ng, Hui-Qiong Wang +1
In this big data era, the use of large dataset in conjunction with machine learning (ML) has been increasingly popular in both industry and academia. In recent times, the field of…
cs.LG2022★ 3 cited
Loss Function Entropy Regularization for Diverse Decision Boundaries
Sue Sin Chong
Is it possible to train several classifiers to perform meaningful crowd-sourcing to produce a better prediction label set without ground-truth annotation? This paper will modify th…