FARF: A Fair and Adaptive Random Forests Classifier

FARF: A Fair and Adaptive Random Forests Classifier

17 August 2021

Wenbin Zhang

Xiangliang Zhang

Jeremy C. Weiss

Papers citing "FARF: A Fair and Adaptive Random Forests Classifier"

7 / 7 papers shown

Title
The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain Xuejiao Tang J. Qiu Wenbin Zhang I. Toure Mingli Zhang Enza Messina Xueping Xie Xuebing Wang Sheng Yu 19 10 0 07 Dec 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate Yuancheng Xu Chenghao Deng Yanchao Sun Ruijie Zheng Xiyao Wang Jieyu Zhao Furong Huang 14 3 0 07 Sep 2023
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 13 5 0 10 Oct 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 33 11 0 04 Jul 2022
Attention Mechanism based Cognition-level Scene Understanding Xuejiao Tang Tai Le Quy LRM 23 0 0 17 Apr 2022
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 14 40 0 30 Mar 2022
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences Thomas Guyet Wenbin Zhang Albert Bifet AI4TS 40 8 0 27 Jan 2022