SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Synthesizing Fair Decision Trees via Iterative Constraint Solving
13 references·0 citing·35 second hop
Synthesizing Fair Decision Trees via Iterative Constraint Solving (2022)Synthesizing Fair Decision Trees via Iter…How fair can we go in machine learning ? Assessing the boundaries of accuracy and fairness (2021)How fair can we go in machine…Achieving Fairness with Decision Trees: An Adversarial Approach (2020)Achieving Fairness with Decis…Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (2019)Learning Optimal and Fair Dec…A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…Fair Forests (2018)Fair ForestsAdverse Impact and Test Validation (2017)Adverse Impact and Test Valid…A Confidence-Based Approach for Balancing Fairness and Accuracy (2016)A Confidence-Based Approach f…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessDecision Theory for Discrimination-Aware Classification (2012)Decision Theory for Discrimin…Discrimination Aware Decision Tree Learning (2010)Discrimination Aware Decision…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Three naive Bayes approaches for discrimination-free classification (2010)The Filter Bubble: What the Internet Is Hiding from You (2011)A Survey on Bias and Fairness in Machine Learning (2021)Discrimination-aware data mining (2008)Data preprocessing techniques for classification without discrimination (2011)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Fairness in Machine Learning (2020)Fairness in Machine Learning: A Survey (2023)Learning Fair Representations (2013)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Classifying without discriminating (2009)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Trustworthy Artificial Intelligence: A Review (2022)Big Data's Disparate Impact (2014)Equality of Opportunity in Supervised Learning (2016)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness and Abstraction in Sociotechnical Systems (2019)Model Cards for Model Reporting (2019)Bias Reducing Multitask Learning on Mental Health Prediction (2022)Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers (2022)Algorithmic Social Injustices: Antecedents and Mitigations (2025)Algorithmic Decision Making and the Cost of Fairness (2017)Trustworthy AI: From Principles to Practices (2022)
this work references cited by second hop

References

  • 2012Fairness through awareness3,545 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning617 cited
  • 2010Discrimination Aware Decision Tree Learning303 cited
  • 2012Decision Theory for Discrimination-Aware Classification300 cited
  • 2016A Confidence-Based Approach for Balancing Fairness and Accuracy163 cited
  • 2019Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making135 cited
  • 2021How fair can we go in machine learning ? Assessing the boundaries of accuracy and fairness58 cited
  • 2018Fair Forests55 cited
  • 2017Adverse Impact and Test Validation24 cited
  • 2020Achieving Fairness with Decision Trees: An Adversarial Approach20 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work