SOTAVerified

Fairness

Papers

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Showing 1851–1900 of 5676 papers

TitleStatusHype
AFAFed -- Protocol analysis—0
A Face Fairness Framework for 3D Meshes—0
Abstract Interpretation-Based Feature Importance for SVMs—0
Explainable Fairness in Recommendation—0
Explainable Disparity Compensation for Efficient Fair Ranking—0
Explainable Deep Reinforcement Learning: State of the Art and Challenges—0
Anti-jamming Transmission of Downlink Cell Free Millimeter-Wave MIMO System—0
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments—0
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research—0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction—0
Explaining how your AI system is fair—0
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank—0
Explaining Language Models' Predictions with High-Impact Concepts—0
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification—0
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Calibrated Fairness in Bandits—0
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities—0
Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset—0
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees—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
Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems I—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
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence—0
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten—0
Explainability for identification of vulnerable groups in machine learning models—0
Explainability for fair machine learning—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
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
An Overview of Large Language Models for Statisticians—0
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective—0
Exploring Rawlsian Fairness for K-Means Clustering—0
AestheticNet: Reducing bias in facial data sets under ethical considerations—0
Explainability-Driven Quality Assessment for Rule-Based Systems—0
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education—0
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
Expert-Guided Extinction of Toxic Tokens for Debiased Generation—0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—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