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NeuronFair
13 references·5 citing·36 second hop
NeuronFair (2022)NeuronFairFair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline (2021)Fair Preprocessing: Towards U…Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline (2021)Fair preprocessing: towards u…"Ignorance and Prejudice" in Software Fairness (2021)"Ignorance and Prejudice" in …White-box fairness testing through adversarial sampling (2020)White-box fairness testing th…Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)Towards Fairness in Visual Re…Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness (2020)Do the machine learning model…Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (2019)Uncovering and Mitigating Alg…Software fairness (2018)Software fairnessFairness definitions explained (2018)Fairness definitions explainedDeep learning models for bankruptcy prediction using textual disclosures (2018)Deep learning models for bank…Automated directed fairness testing (2018)Automated directed fairness t…FairTest: Discovering Unwarranted Associations in Data-Driven Applications (2017)FairTest: Discovering Unwarra…Fairness through awareness (2012)Fairness through awarenessRUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness (2024)RUNNER: Responsible UNfair NE…NeuFair: Neural Network Fairness Repair with Dropout (2024)NeuFair: Neural Network Fairn…Fairness Improvement with Multiple Protected Attributes: How Far Are We? (2024)Fairness Improvement with Mul…FairBalance: How to Achieve Equalized Odds With Data Pre-Processing (2024)FairBalance: How to Achieve E…Towards Understanding Fairness and its Composition in Ensemble Machine Learning (2023)Towards Understanding Fairnes…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)A Survey on Bias and Fairness in Machine Learning (2021)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Certifying and Removing Disparate Impact (2015)A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers (2023)Equality of Opportunity in Supervised Learning (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Financial applications of machine learning: A literature review (2023)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems (2021)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Investigating Bias and Fairness in Facial Expression Recognition (2020)Understanding and Mitigating Annotation Bias in Facial Expression Recognition (2021)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Thirteen Ways to Look at the Correlation Coefficient (1988)The Black Box Society (2015)Ethical Considerations in AI-Based Recruitment (2019)Interventional Fairness (2019)Fairway: a way to build fair ML software (2020)Mitigating Unwanted Biases with Adversarial Learning (2018)In-Processing Modeling Techniques for Machine Learning Fairness: A Survey (2022)Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods (2021)Training data debugging for the fairness of machine learning software (2022)Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (2021)Trustworthy AI: A Computational Perspective (2022)
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References

  • 2012Fairness through awareness3,501 cited
  • 2018Fairness definitions explained1,125 cited
  • 2018Deep learning models for bankruptcy prediction using textual disclosures480 cited
  • 2020Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation285 cited
  • 2019Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure205 cited
  • 2018Automated directed fairness testing200 cited
  • 2017FairTest: Discovering Unwarranted Associations in Data-Driven Applications171 cited
  • 2018Software fairness138 cited
  • 2020White-box fairness testing through adversarial sampling138 cited
  • 2021Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline107 cited
  • 2020Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness99 cited
  • 2021"Ignorance and Prejudice" in Software Fairness80 cited
  • 2021Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline75 cited

Cited by

  • 2024Fairness Improvement with Multiple Protected Attributes: How Far Are We?46 cited
  • 2023

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Towards Understanding Fairness and its Composition in Ensemble Machine Learning
36 cited
  • 2024FairBalance: How to Achieve Equalized Odds With Data Pre-Processing16 cited
  • 2024RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness14 cited
  • 2024NeuFair: Neural Network Fairness Repair with Dropout14 cited