18 citations · 27 across the 5 of their papers we have counts for
9 papers
Longitudinal Fairness with Censorship
Wenbin Zhang, Jeremy C. Weiss
Recent works in artificial intelligence fairness attempt to mitigate discrimination by proposing constrained optimization programs that achieve parity for some fairness statistic.…
FARF: A Fair and Adaptive Random Forests Classifier
Wenbin Zhang, Albert Bifet, Xiangliang Zhang +2
As Artificial Intelligence (AI) is used in more applications, the need to consider and mitigate biases from the learned models has followed. Most works in developing fair learning…
Online Fairness-Aware Learning with Imbalanced Data Streams
Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
Data-driven learning algorithms are employed in many online applications, in which data become available over time, like network monitoring, stock price prediction, job application…
LSTM Based Sentiment Analysis for Cryptocurrency Prediction
Xin Huang, Wenbin Zhang, Xuejiao Tang +5
Recent studies in big data analytics and natural language processing develop automatic techniques in analyzing sentiment in the social media information. In addition, the growing u…
A Data-driven Human Responsibility Management System
Xuejiao Tang, Jiong Qiu, Ruijun Chen +6
An ideal safe workplace is described as a place where staffs fulfill responsibilities in a well-organized order, potential hazardous events are being monitored in real-time, as wel…
Using Machine Learning to Automate Mammogram Images Analysis
Xuejiao Tang, Liuhua Zhang, Wenbin Zhang +6
Breast cancer is the second leading cause of cancer-related death after lung cancer in women. Early detection of breast cancer in X-ray mammography is believed to have effectively…