ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.04053
  4. Cited By
Fairness in Machine Learning: A Survey

Fairness in Machine Learning: A Survey

ACM Computing Surveys (ACM CSUR), 2020
4 October 2020
Simon Caton
C. Haas
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fairness in Machine Learning: A Survey"

50 / 314 papers shown
Title
Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction
Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction
Yining Yuan
J. Ben Tamo
Wenqi Shi
Yishan Zhong
Micky C. Nnamdi
B. Randall Brenn
Steven W. Hwang
May D. Wang
8
1
0
29 Nov 2025
Happiness as a Measure of Fairness
Happiness as a Measure of Fairness
Georg Pichler
Marco Romanelli
Pablo Piantanida
82
0
0
02 Nov 2025
Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation
Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation
Aditya Parikh
Sneha Das
Aasa Feragen
169
1
0
01 Nov 2025
Who Does Your Algorithm Fail? Investigating Age and Ethnic Bias in the MAMA-MIA Dataset
Who Does Your Algorithm Fail? Investigating Age and Ethnic Bias in the MAMA-MIA Dataset
Aditya Parikh
Sneha Das
Aasa Feragen
72
0
0
31 Oct 2025
flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
Maximilian Willer
Peter Ruckdeschel
FaML
158
0
0
29 Oct 2025
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Enze Shi
Pankaj Bhagwat
Zhixian Yang
Linglong Kong
Bei Jiang
84
0
0
27 Oct 2025
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
Jan Simson
Alessandro Fabris
Cosima Fröhner
Frauke Kreuter
Christoph Kern
91
0
0
25 Oct 2025
Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space
Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space
Sofoklis Kitharidis
Cor J. Veenman
Thomas Bäck
Niki van Stein
FaML
281
0
0
25 Oct 2025
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Riccardo Guidotti
Martina Cinquini
Marta Marchiori Manerba
Mattia Setzu
Francesco Spinnato
112
0
0
23 Oct 2025
Mitigating representation bias caused by missing pixels in methane plume detection
Mitigating representation bias caused by missing pixels in methane plume detection
Julia Wąsala
Joannes D. Maasakkers
Ilse Aben
Rochelle Schneider
Holger Hoos
Mitra Baratchi
40
0
0
22 Oct 2025
Alternatives to the Laplacian for Scalable Spectral Clustering with Group Fairness Constraints
Alternatives to the Laplacian for Scalable Spectral Clustering with Group Fairness Constraints
Iván Ojeda-Ruiz
Young Ju-Lee
Malcolm Dickens
Leonardo Cambisaca
88
0
0
22 Oct 2025
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
Yucong Dai
Lu Zhang
Feng Luo
M. Chowdhury
Yongkai Wu
FaML
198
0
0
05 Oct 2025
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Lutz Oettershagen
Othon Michail
141
0
0
04 Oct 2025
GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models
GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models
Zhangyu Wang
Nemin Wu
Zhongliang Zhou
Jiangnan Xia
Zeping Liu
...
A. Nambi
T. Ganu
Ni Lao
Ninghao Liu
Gengchen Mai
109
1
0
27 Sep 2025
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees
Emmanouil Panagiotou
Benoît Ronval
Arjun Roy
Ludwig Bothmann
B. Bischl
Siegfried Nijssen
Eirini Ntoutsi
60
0
0
24 Sep 2025
Pluralistic Off-policy Evaluation and Alignment
Pluralistic Off-policy Evaluation and Alignment
Chengkai Huang
Junda Wu
Zhouhang Xie
Yu Xia
Rui Wang
Tong Yu
Subrata Mitra
Julian McAuley
L. Yao
OffRL
148
1
0
15 Sep 2025
AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework
AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework
Sofia Vei
Paolo Giudici
Pavlos Sermpezis
Athena Vakali
Adelaide Emma Bernardelli
80
0
0
12 Sep 2025
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
Ho Ming Lee
Katrien Antonio
Benjamin Avanzi
Lorenzo Marchi
Rui Zhou
FaML
279
1
0
09 Sep 2025
On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning''
On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning''
Hua Chang Bakker
Stan Fris
Angela Madelon Bernardy
Stan Deutekom
VLM
91
0
0
08 Sep 2025
A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process MonitoringInternational Conference on Business Process Management (BPM), 2025
Martin Käppel
Julian Neuberger
Felix Möhrlein
Sven Weinzierl
Martin Matzner
Stefan Jablonski
52
1
0
24 Aug 2025
Correct-By-Construction: Certified Individual Fairness through Neural Network Training
Correct-By-Construction: Certified Individual Fairness through Neural Network Training
Ruihan Zhang
Jun Sun
FaML
212
1
0
21 Aug 2025
Design and Validation of a Responsible Artificial Intelligence-based System for the Referral of Diabetic Retinopathy Patients
Design and Validation of a Responsible Artificial Intelligence-based System for the Referral of Diabetic Retinopathy Patients
Eduardo Ulises Moya-Sánchez
Abraham Sánchez Pérez
Raúl Nanclares Da Veiga
Alejandro Zarate-Macías
Edgar Villareal
Alejandro Sánchez-Montes
Edtna Jauregui-Ulloa
Héctor Moreno
Ulises Cortés
40
1
0
17 Aug 2025
Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach
Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach
Zeyu Tang
Alex John London
Atoosa Kasirzadeh
Sanmi Koyejo
Peter Spirtes
Kun Zhang
FaML
160
0
0
10 Aug 2025
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
Xenia Heilmann
Luca Corbucci
Mattia Cerrato
Anna Monreale
FedML
193
0
0
26 Jun 2025
Critical Appraisal of Fairness Metrics in Clinical Predictive AI
Critical Appraisal of Fairness Metrics in Clinical Predictive AI
João Matos
Ben Van Calster
Leo Anthony Celi
Paula Dhiman
J. Gichoya
R. Riley
Chris Russell
Sara Khalid
Gary S. Collins
149
1
0
20 Jun 2025
A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies
A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies
Weihong Qi
Fan Huang
Jisun An
Haewoon Kwak
136
0
0
17 Jun 2025
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
Asifullah Khan
Muhammad Zaeem Khan
Saleha Jamshed
Sadia Ahmad
Aleesha Zainab
Kaynat Khatib
Faria Bibi
Abdul Rehman
OffRLLRM
225
3
0
14 Jun 2025
FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines
FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines
Athena Vakali
Ilias Dimitriadis
150
0
0
10 Jun 2025
Gender Fairness of Machine Learning Algorithms for Pain Detection
Gender Fairness of Machine Learning Algorithms for Pain DetectionIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2025
Dylan Green
Yuting Shang
Jiaee Cheong
Yang Liu
Hatice Gunes
137
1
0
10 Jun 2025
PASS: Private Attributes Protection with Stochastic Data Substitution
PASS: Private Attributes Protection with Stochastic Data Substitution
Yizhuo Chen
Chun-Fu
Chen
Hsiang Hsu
Shaohan Hu
Tarek Abdelzaher
275
0
0
08 Jun 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
Preserving AUC Fairness in Learning with Noisy Protected Groups
Mingyang Wu
Li Lin
Wenbin Zhang
Xin Wang
Zhenhuan Yang
Shu Hu
NoLa
338
5
0
24 May 2025
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
198
0
0
23 May 2025
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
Lin Zhu
Yijun Bian
Lei You
TDI
425
0
0
16 May 2025
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness
Héber H. Arcolezi
Mina Alishahi
Adda-Akram Bendoukha
Nesrine Kaaniche
144
0
0
12 May 2025
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine LearningInternational Conference on Information and Knowledge Management (CIKM), 2024
Jarren Briscoe
Assefaw Gebremedhin
FaML
258
3
0
08 May 2025
Causally Fair Node Classification on Non-IID Graph Data
Causally Fair Node Classification on Non-IID Graph Data
Yucong Dai
Jun Liu
Yaowei Hu
Susan Gauch
Yongkai Wu
FaML
286
0
0
03 May 2025
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises
Abdalwahab Almajed
Maryam Tabar
Peyman Najafirad
AI4TS
205
0
0
02 May 2025
Bayes-Optimal Fair Classification with Multiple Sensitive Features
Bayes-Optimal Fair Classification with Multiple Sensitive Features
Yi Yang
Yinghui Huang
Xiangyu Chang
FaML
443
0
0
01 May 2025
Intersectional Divergence: Measuring Fairness in Regression
Intersectional Divergence: Measuring Fairness in Regression
Joe Germino
Nuno Moniz
Nitesh Chawla
FaML
256
0
0
01 May 2025
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Jean-Rémy Conti
Stéphan Clémençon
239
1
0
27 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
Chaofan Li
299
1
0
24 Apr 2025
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
Tina Behzad
Mithilesh Singh
Anthony J. Ripa
Klaus Mueller
219
2
0
22 Apr 2025
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks
Enze Shi
Linglong Kong
Bei Jiang
FaMLFedML
264
2
0
08 Apr 2025
Uncovering Fairness through Data Complexity as an Early Indicator
Uncovering Fairness through Data Complexity as an Early Indicator
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
217
0
0
08 Apr 2025
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
Rajeev Kumar
Harishankar Kumar
Kumari Shalini
252
3
0
01 Apr 2025
The more the merrier: logical and multistage processors in credit scoring
The more the merrier: logical and multistage processors in credit scoring
Arturo Pérez-Peralta
Sandra Benítez-Peña
Rosa E. Lillo
FaML
162
0
0
31 Mar 2025
Active Data Sampling and Generation for Bias Remediation
Active Data Sampling and Generation for Bias Remediation
Antonio Maratea
Rita Perna
324
0
0
26 Mar 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention MapsComputer Vision and Pattern Recognition (CVPR), 2025
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
253
1
0
25 Mar 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time
Xiaotian Han
Tianlong Chen
Kaixiong Zhou
Zhimeng Jiang
Zhangyang Wang
Helen Zhou
781
0
0
10 Mar 2025
Fair Text Classification via Transferable Representations
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
317
0
0
10 Mar 2025
1234567
Next