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Fairness

Papers

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Showing 2201–2250 of 5676 papers

TitleStatusHype
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images—0
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems—0
Fairness, Accuracy, and Unreliable Data—0
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems—0
Fairness Amidst Non-IID Graph Data: A Literature Review—0
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification—0
Fairness Analysis with Shapley-Owen Effects—0
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making—0
Fairness and Accuracy in Federated Learning—0
Comparing Fairness Criteria Based on Social Outcome—0
Comparing Fairness of Generative Mobility Models—0
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey—0
Fairness and Bias in Multimodal AI: A Survey—0
Fairness and Bias in Robot Learning—0
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis—0
Fairness and Deception in Human Interactions with Artificial Agents—0
Accelerating Spectral Clustering under Fairness Constraints—0
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets—0
Fairness and Diversity in Information Access Systems—0
Comparing Software Developers with ChatGPT: An Empirical Investigation—0
Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content—0
Fairness and Effectiveness in Federated Learning on Non-independent and Identically Distributed Data—0
Fairness-Driven Private Collaborative Machine Learning—0
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law—0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing—0
Fairness and Friends—0
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Fairness And Performance In Harmony: Data Debiasing Is All You Need—0
Fairness and Privacy Guarantees in Federated Contextual Bandits—0
Towards Secure and Private AI: A Framework for Decentralized Inference—0
Fairness and Privacy in Voice Biometrics:A Study of Gender Influences Using wav2vec 2.0—0
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization—0
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy—0
Fairness and robustness in anti-causal prediction—0
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm—0
Fairness and Robustness in Machine Unlearning—0
Assessing FAIRness of the Digital Shadow Reference Model—0
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities—0
Fairness and Transparency in Recommendation: The Users' Perspective—0
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations—0
Fairness and Welfare Quantification for Regret in Multi-Armed Bandits—0
Fairness as a Program Property—0
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy—0
Fairness Assessment for Artificial Intelligence in Financial Industry—0
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions—0
Assessing Group Fairness with Social Welfare Optimization—0
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models—0
Fairness-aware Agnostic Federated Learning—0
Fairness-aware Bayes optimal functional classification—0
Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders—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