most citedOversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy

33 citations · 33 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 33 cited

Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy

Louis Hickman, Jason Kuruzovich, Vincent Ng +2

Organizations are increasingly adopting machine learning (ML) for personnel assessment. However, concerns exist about fairness in designing and implementing ML assessments. Supervi…

cs.CL2023

Multimodal Propaganda Processing

Vincent Ng, Shengjie Li

Propaganda campaigns have long been used to influence public opinion via disseminating biased and/or misleading information. Despite the increasing prevalence of propaganda content…