82 citations · 115 across the 12 of their papers we have counts for
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stat.ML2020★ 2 cited
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
Wei Vivian Li, Xin Tong, Jingyi Jessica Li
Asymmetric binary classification problems, in which the type I and II errors have unequal severity, are ubiquitous in real-world applications. To handle such asymmetry, researchers…
stat.AP2020★ 2 cited
Statistical hypothesis testing versus machine-learning binary classification: distinctions and guidelines
Jingyi Jessica Li, Xin Tong
Making binary decisions is a common data analytical task in scientific research and industrial applications. In data sciences, there are two related but distinct strategies: hypoth…