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Fairness

Papers

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Showing 1651–1700 of 5676 papers

TitleStatusHype
Controlled Mobility for C-V2X Road Safety Reception Optimization—0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
An Empirical Analysis of Fairness Notions under Differential Privacy—0
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—0
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis—0
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations—0
Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul—0
Energy Efficient Fair STAR-RIS for Mobile Users—0
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation—0
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer—0
Enforcing Delayed-Impact Fairness Guarantees—0
Enforcing Equity in Neural Climate Emulators—0
Weighted Envy-Freeness in Indivisible Item Allocation—0
Public Perceptions of Fairness Metrics Across Borders—0
Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back—0
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules—0
Evaluating Machine Learning-based Skin Cancer Diagnosis—0
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness—0
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach—0
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling—0
Balancing Efficiency and Equity in Classroom Assignment under Endogenous Peer Effects—0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Travel Demand Forecasting: A Fair AI Approach—0
Learning Fairer Representations with FairVIC—0
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models—0
Achieving Proportionality up to the Maximin Item with Indivisible Goods—0
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule—0
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation—0
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models—0
Controllable Text Generation for Open-Domain Creativity and Fairness—0
Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications—0
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach—0
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation—0
Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling—0
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review—0
Enhancing Recommender System Performance by Histogram Equalization—0
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training—0
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems—0
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems—0
Bias in Unsupervised Anomaly Detection in Brain MRI—0
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI—0
Enhancing transparency in AI-powered customer engagement—0
Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs—0
Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts—0
FairCal: Fairness Calibration for Face Verification—0
Towards Fairness-Aware Federated Learning—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