SOTAVerified

Fairness

Papers

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Showing 1801–1850 of 5676 papers

TitleStatusHype
A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness—0
Evaluating the fairness of fine-tuning strategies in self-supervised learning—0
Evaluating the Fairness of Neural Collapse in Medical Image Classification—0
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools—0
Adversarial Scrutiny of Evidentiary Statistical Software—0
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit—0
Evaluating the Performance of Nigerian Lecturers using Multilayer Perceptron—0
Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions—0
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility—0
Evaluation Framework for AI Systems in "the Wild"—0
Bugs in Machine Learning-based Systems: A Faultload Benchmark—0
Evaluation of Fairness Trade-offs in Predicting Student Success—0
Evaluation of group fairness measures in student performance prediction problems—0
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data—0
Building Better Open-Source Tools to Support Fairness in Automated Scoring—0
Everything is Relative: Understanding Fairness with Optimal Transport—0
Evidence-based explanation to promote fairness in AI systems—0
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations—0
A Novel NOMA Solution with RIS Partitioning—0
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams—0
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
Contrastive Fairness in Machine Learning—0
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing—0
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning—0
Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models—0
Examining risks of racial biases in NLP tools for child protective services—0
Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective—0
Example-based Explanations for Random Forests using Machine Unlearning—0
ExCalibR: Expected Calibration of Recommendations—0
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication—0
Continuous Multi-Link Operation: A Contention-Free Mechanism for the Unlicensed Spectrum—0
Experimental Studies in General Game Playing: An Experience Report—0
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data—0
Expert-Guided Extinction of Toxic Tokens for Debiased Generation—0
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects—0
Explainability-Driven Quality Assessment for Rule-Based Systems—0
AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview—0
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
Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility—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
Contextual Thompson Sampling via Generation of Missing Data—0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank—0
A Suite of Fairness Datasets for Tabular Classification—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