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Fairness

Papers

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Showing 1801–1825 of 5676 papers

TitleStatusHype
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications—0
A Fair Federated Learning Framework With Reinforcement Learning—0
Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling—0
Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI—0
Approximating Fair k-Min-Sum-Radii in Euclidean Space—0
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness—0
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?—0
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models—0
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms—0
Approximate Birkhoff-von-Neumann decomposition: a differentiable approach—0
A Fair Classifier Using Kernel Density Estimation—0
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity—0
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness—0
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems—0
Can Model Compression Improve NLP Fairness—0
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study—0
Approaching Machine Learning Fairness through Adversarial Network—0
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents—0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models—0
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records—0
Approaching Ethical Guidelines for Data Scientists—0
Can large language models be privacy preserving and fair medical coders?—0
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare—0
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks—0
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction—0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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