Fairness-aware Model-agnostic Positive and Unlabeled Learning

Keyphrases

• Model Explanation 100%
• Positive Learning 100%
• Fairness-aware 100%
• Unlabeled Learning 100%
• Medical Diagnosis 40%
• Fairness Metrics 40%
• Learning Methods 20%
• Learning Context 20%
• Processing Framework 20%
• Social Groups 20%
• Negative Impact 20%
• False Positive Rate 20%
• Binary Classification 20%
• Learning Classification 20%
• Machine Learning Applications 20%
• Positive Instances 20%
• Misclassification Error 20%
• Unlabeled Data 20%
• Decision-making Problem 20%
• Fairness Concern 20%
• True Positive Rate 20%
• Recommender Systems 20%
• Positive Data 20%
• Risk Assessment System 20%
• Semi-supervised Setting 20%
• Unsupervised Setting 20%
• Positive Unlabelled 20%
• Algorithmic Bias 20%
• Fair Classification 20%
• High-stakes Decision Making 20%
• Criminal Risk 20%
• Fairness-aware Machine Learning 20%

Computer Science

• Medical Diagnosis 100%
• Machine Learning 100%
• Learning System 100%
• Decision-Making 50%
• Assessment System 50%
• Postprocessing 50%
• Classification Error 50%
• Unlabeled Data 50%
• Negative Impact 50%
• True Positive Rate 50%
• Recommender Systems 50%
• False Positive Rate 50%
• Positive Example 50%
• Binary Classification 50%
• Algorithmic Bias 50%