Jesse Davis

Latest

• Combining Active Learning and Learning to Reject for Anomaly Detection
• Deep neural network benchmarks for selective classification
• Machine learning with a reject option: A survey
• Semi-Supervised Isolation Forest for Anomaly Detection
• Unsupervised anomaly detection with rejection
• Detecting evasion attacks in deployed tree ensembles
• How to allocate your label budget? choosing between active learning and learning to reject in anomaly detection
• Learning from positive and unlabeled multi-instance bags in anomaly detection
• Semi-supervised learning from active noisy soft labels for anomaly detection
• Multi-domain active learning for semi-supervised anomaly detection
• Transferring the contamination factor between anomaly detection domains by shape similarity
• The effect of hyperparameter tuning on the comparative evaluation of unsupervised anomaly detection methods
• Class Prior Estimation in Active Positive and Unlabeled Learning.
• Quantifying the confidence of anomaly detectors in their example-wise predictions