Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.00695
Cited By
FAE: A Fairness-Aware Ensemble Framework
3 February 2020
Vasileios Iosifidis
B. Fetahu
Eirini Ntoutsi
FaML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"FAE: A Fairness-Aware Ensemble Framework"
34 / 34 papers shown
Improving Recommendation Fairness via Graph Structure and Representation Augmentation
Tongxin Xu
Wenqiang Liu
Chenzhong Bin
Cihan Xiao
Zhixin Zeng
Tianlong Gu
154
0
0
27 Aug 2025
Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
Haishun Chen
Cai Xu
Jinlong Yu
Yilin Zhang
Ziyu Guan
Wei Zhao
Fangyuan Zhao
Xin Yang
180
1
0
18 Aug 2025
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?
Gianmario Voria
Rebecca Di Matteo
Giammaria Giordano
Gemma Catolino
Fabio Palomba
327
0
0
20 Dec 2024
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Wei Chen
Meng Yuan
Zhao Zhang
Ruobing Xie
Fuzhen Zhuang
Deqing Wang
Rui Liu
305
10
0
23 Oct 2024
Fair-OBNC: Correcting Label Noise for Fairer Datasets
European Conference on Artificial Intelligence (ECAI), 2024
Ines Oliveira e Silva
Sérgio Jesus
Hugo Ferreira
Pedro Saleiro
Inês Sousa
P. Bizarro
Carlos Soares
301
1
0
08 Oct 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria
Giulia Sellitto
Carmine Ferrara
Francesco Abate
A. Lucia
F. Ferrucci
Gemma Catolino
Fabio Palomba
FaML
395
5
0
29 Aug 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
289
6
0
11 Jun 2024
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Dacao Zhang
Kun Zhang
Le Wu
Mi Tian
Richang Hong
Ming Wang
212
13
0
05 Jun 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure
Gaurav Maheshwari
A. Bellet
Pascal Denis
Mikaela Keller
344
2
0
23 May 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
498
23
0
26 Mar 2024
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
Feng Chen
Liqin Wang
Julie Hong
Jiaqi Jiang
Li Zhou
474
39
0
30 Oct 2023
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Can Li
Dejian Lai
Xiaoqian Jiang
Kai Zhang
224
7
0
20 Oct 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maryam Molamohammadi
Afaf Taik
Nicolas Le Roux
G. Farnadi
266
2
0
11 Jun 2023
A statistical approach to detect sensitive features in a group fairness setting
G. D. Pelegrina
Miguel Couceiro
L. Duarte
216
5
0
11 May 2023
Improving Recommendation Fairness via Data Augmentation
The Web Conference (WWW), 2023
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Defu Lian
Qing Cui
Jun Zhou
Meng Wang
FedML
252
68
0
13 Feb 2023
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
IEEE Transactions on Evolutionary Computation (TEVC), 2022
Qingquan Zhang
Jialin Liu
Zeqi Zhang
J. Wen
Bifei Mao
Xin Yao
FaML
305
26
0
30 Oct 2022
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification
Knowledge and Information Systems (KAIS), 2022
Vasileios Iosifidis
Symeon Papadopoulos
Bodo Rosenhahn
Eirini Ntoutsi
113
23
0
17 Sep 2022
Survey on Fairness Notions and Related Tensions
EURO Journal on Decision Processes (EJDP), 2022
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
379
35
0
16 Sep 2022
Power of Explanations: Towards automatic debiasing in hate speech detection
International Conference on Data Science and Advanced Analytics (DSAA), 2022
Yitao Cai
Arthur Zimek
Gerhard Wunder
Eirini Ntoutsi
187
9
0
07 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
423
256
0
14 Jul 2022
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education
International Conference on Artificial Intelligence in Education (AIED), 2022
Gianni Fenu
Roberta Galici
Mirko Marras
174
23
0
23 Jun 2022
FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari
Michaël Perrot
FaML
281
12
0
22 Jun 2022
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity
Computers & graphics (Comput. Graph.), 2022
Camila Kolling
Victor Araujo
Adriano Veloso
S. Musse
203
4
0
13 Apr 2022
Parity-based Cumulative Fairness-aware Boosting
Knowledge and Information Systems (KAIS), 2022
Vasileios Iosifidis
Arjun Roy
Eirini Ntoutsi
FaML
148
7
0
04 Jan 2022
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
562
575
0
04 Oct 2021
FARF: A Fair and Adaptive Random Forests Classifier
Wenbin Zhang
Nikolaos Perrakis
Xiangliang Zhang
Jeremy C. Weiss
Wolfgang Nejdl
FaML
292
64
0
17 Aug 2021
Online Fairness-Aware Learning with Imbalanced Data Streams
Vasileios Iosifidis
Wenbin Zhang
Eirini Ntoutsi
FaML
AI4TS
155
9
0
13 Aug 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing
IEEE Transactions on Software Engineering (TSE), 2021
Zhe Yu
Joymallya Chakraborty
Tim Menzies
FaML
454
10
0
17 Jul 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Shucheng Zhou
FaML
485
270
0
12 Jul 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
SIGKDD Explorations (SIGKDD Explor.), 2021
Hemank Lamba
Kit T. Rodolfa
Rayid Ghani
OffRL
161
18
0
13 May 2021
Multi-fairness under class-imbalance
IFIP Working Conference on Database Semantics (IWDS), 2021
Arjun Roy
Vasileios Iosifidis
Eirini Ntoutsi
FaML
217
7
0
27 Apr 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models
International Conference on Machine Learning (ICML), 2021
Yucheng Lu
Youngsuk Park
Lifan Chen
Bernie Wang
Christopher De Sa
Dean Phillips Foster
AI4TS
358
19
0
02 Mar 2021
Fairness in Machine Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
760
841
0
04 Oct 2020
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
IFIP Working Conference on Database Semantics (IWDS), 2020
Tongxin Hu
Vasileios Iosifidis
Wentong Liao
Hang Zhang
M. Yang
Eirini Ntoutsi
Bodo Rosenhahn
FaML
226
19
0
05 Apr 2020
1
Page 1 of 1
