SOTAVerified

Fairness

Papers

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Showing 3001–3050 of 5676 papers

TitleStatusHype
Explainability for identification of vulnerable groups in machine learning models—0
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence—0
Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset—0
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence—0
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction—0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research—0
Explainable Deep Reinforcement Learning: State of the Art and Challenges—0
Explainable Disparity Compensation for Efficient Fair Ranking—0
Explainable Fairness in Recommendation—0
Explainable Multi-Stakeholder Job Recommender Systems—0
Explainable post-training bias mitigation with distribution-based fairness metrics—0
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments—0
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition—0
Explaining how your AI system is fair—0
Explaining Knock-on Effects of Bias Mitigation—0
Explaining Language Models' Predictions with High-Impact Concepts—0
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies—0
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing—0
Exploiting Cell-Free Massive MIMO for Enabling Simultaneous Wireless Information and Power Transfer—0
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction—0
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning—0
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems—0
Exploring Accuracy-Fairness Trade-off in Large Language Models—0
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives—0
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review—0
Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs—0
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology—0
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond—0
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions—0
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities—0
Exploring Fairness for FAS-assisted Communication Systems: from NOMA to OMA—0
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten—0
Exploring Gender Disparities in Automatic Speech Recognition Technology—0
Exploring Gender Disparities in Time to Diagnosis—0
Exploring Graph Neural Networks for Indian Legal Judgment Prediction—0
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits—0
Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics—0
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective—0
Exploring Rawlsian Fairness for K-Means Clustering—0
Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis—0
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy—0
Exploring the Unfairness of DP-SGD Across Settings—0
Exploring unfairness in Integrated Gradients based attribution methods—0
Exploring User Opinions of Fairness in Recommender Systems—0
Exploring Welfare Maximization and Fairness in Participatory Budgeting—0
Exponential Structure of Income Inequality: Evidence from 67 Countries—0
Exposing Product Bias in LLM Investment Recommendation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified