FAHT: An Adaptive Fairness-aware Decision Tree Classifier

16 July 2019

Wenbin Zhang

Papers citing "FAHT: An Adaptive Fairness-aware Decision Tree Classifier"

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Title
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data Kathrin Lammers Valerie Vaquet Barbara Hammer 18 0 0 19 May 2025
Software Engineering Principles for Fairer Systems: Experiments with GroupCART Kewen Peng Hao Zhuo Yicheng Yang Tim Menzies FaML 116 0 0 17 Apr 2025
Digital Forensics in the Age of Large Language Models Zhipeng Yin Zichong Wang Weifeng Xu Jun Zhuang Pallab Mozumder Antoinette Smith Wenbin Zhang AILaw 83 2 0 03 Apr 2025
Fairness Amidst Non-IID Graph Data: A Literature Review Wenbin Zhang Shimei Pan Shuigeng Zhou T. Walsh FaML OOD 101 12 0 28 Jan 2025
FairGLVQ: Fairness in Partition-Based Classification Felix Störck Fabian Hinder Johannes Brinkrolf Benjamin Paassen Valerie Vaquet Barbara Hammer VLM FaML 33 0 0 16 Oct 2024
Uncertainty-Aware Fairness-Adaptive Classification Trees Anna Gottard Vanessa Verrina Sabrina Giordano 33 0 0 08 Oct 2024
Fairness-Aware Streaming Feature Selection with Causal Graphs Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 126 4 0 17 Aug 2024
Optimal Mixed Integer Linear Optimization Trained Multivariate Classification Trees B. Alston Illya V. Hicks 26 0 0 02 Aug 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications Sribala Vidyadhari Chinta Zichong Wang Zhipeng Yin Nhat Hoang Matthew Gonzalez Tai Le Quy Wenbin Zhang 79 26 0 26 Jul 2024
Fairness Definitions in Language Models Explained Thang Viet Doan Zhibo Chu Zichong Wang Wenbin Zhang ALM 103 10 0 26 Jul 2024
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning Cedric Kulbach Lucas Cazzonelli Hoang-Anh Ngo Minh-Huong Le Nguyen Albert Bifet 79 2 0 27 May 2024
Curvature-Aligned Federated Learning (CAFe): Harmonizing Loss Landscapes for Fairness Without Demographics Shaily Roy Harshit Sharma Asif Salekin 95 2 0 30 Apr 2024
Algorithmic Fairness: A Tolerance Perspective Renqiang Luo Tao Tang Xiwei Xu Jiaying Liu Chengpei Xu Leo Yu Zhang Wei Xiang Chengqi Zhang FaML 99 0 0 26 Apr 2024
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams Pivithuru Thejan Amarasinghe Diem Pham Binh Tran Su Nguyen Yuan Sun D. Alahakoon 59 0 0 18 Apr 2024
Fairness in Large Language Models: A Taxonomic Survey Zhibo Chu Zichong Wang Wenbin Zhang AILaw 127 42 0 31 Mar 2024
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI Jocelyn Dzuong Zhipeng Yin Zichong Wang Avash Palikhe Wenbin Zhang 53 9 0 31 Mar 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning Teresa Salazar Joao Gama Helder Araújo Pedro Abreu FaML FedML 66 3 0 12 Feb 2024
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 75 10 0 07 Dec 2023
Continuous Management of Machine Learning-Based Application Behavior M. Anisetti C. Ardagna Nicola Bena Ernesto Damiani Paolo G. Panero KELM 65 0 0 21 Nov 2023
From Principle to Practice: Vertical Data Minimization for Machine Learning Robin Staab Nikola Jovanović Mislav Balunović Martin Vechev 76 7 0 17 Nov 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury Nicholas Monath Ahmad Beirami Rahul Kidambi Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 66 2 0 17 Oct 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 64 2 0 31 May 2023
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness J. Álvarez Kristen M. Scott Salvatore Ruggieri Bettina Berendt 63 7 0 27 Feb 2023
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking Zichong Wang Yangze Zhou M. Qiu I. Haque Laura Brown Yi He Jianwu Wang David Lo Wenbin Zhang FaML 71 25 0 16 Feb 2023
Preventing Discriminatory Decision-making in Evolving Data Streams Zichong Wang N. Saxena Tongjia Yu Sneha Karki Tyler Zetty ... Shanlin Zhou Dukka B Kc I. Stockwell Albert Bifet Wenbin Zhang FaML 83 19 0 16 Feb 2023
Individual Fairness under Uncertainty Wenbin Zhang Zichong Wang Juyong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 89 12 0 16 Feb 2023
Discrimination and Class Imbalance Aware Online Naive Bayes Maryam Badar M. Fisichella Vasileios Iosifidis Wolfgang Nejdl FaML 30 1 0 09 Nov 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 210 13 0 13 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 48 5 0 10 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 213 40 0 21 Sep 2022
Sustaining Fairness via Incremental Learning Somnath Basu Roy Chowdhury Snigdha Chaturvedi FaML CLL 75 4 0 25 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 107 177 0 14 Jul 2022
Mixed integer linear optimization formulations for learning optimal binary classification trees B. Alston Hamidreza Validi Illya V. Hicks 41 3 0 10 Jun 2022
How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 56 12 0 01 Jun 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 103 28 0 26 May 2022
Addressing Strategic Manipulation Disparities in Fair Classification Vijay Keswani L. E. Celis 87 3 0 22 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
Attention Mechanism based Cognition-level Scene Understanding Xuejiao Tang Tai Le Quy LRM 80 0 0 17 Apr 2022
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 92 41 0 30 Mar 2022
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences Thomas Guyet Wenbin Zhang Albert Bifet AI4TS 74 8 0 27 Jan 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 92 13 0 24 Jan 2022
Improving Specificity in Mammography Using Cross-correlation between Wavelet and Fourier Transform Liuhua Zhang 47 0 0 20 Jan 2022
Parity-based Cumulative Fairness-aware Boosting Vasileios Iosifidis Arjun Roy Eirini Ntoutsi FaML 59 4 0 04 Jan 2022
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves S. Abebe Claudio Lucchese S. Orlando 38 8 0 29 Dec 2021
A Generic Knowledge Based Medical Diagnosis Expert System Xin Huang Xuejiao Tang Wenbin Zhang Shichao Pei Ji Zhang Mingli Zhang Zhen Liu Ruijun Chen Yiyi Huang 79 9 0 09 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 112 252 0 01 Oct 2021
FARF: A Fair and Adaptive Random Forests Classifier Wenbin Zhang Albert Bifet Xiangliang Zhang Jeremy C. Weiss Wolfgang Nejdl FaML 107 54 0 17 Aug 2021
Online Fairness-Aware Learning with Imbalanced Data Streams Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML AI4TS 47 8 0 13 Aug 2021
Interpretable Visual Understanding with Cognitive Attention Network Xuejiao Tang Wenbin Zhang Yi Yu Kea Turner Hanyu Wang Mengyu Wang Eirini Ntoutsi 136 12 0 06 Aug 2021
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory Xuejiao Tang Xin Huang Wenbin Zhang T. Child Qiong Hu Zhen Liu Ji Zhang LRM 79 19 0 04 Jul 2021