Lorenzo Perini
Katholieke Universiteit Leuven
H-index: 7
Europe-Belgium
Top articles of Lorenzo Perini
Deep Neural Network Benchmarks for Selective Classification
arXiv preprint arXiv:2401.12708
2024/1/23
Lorenzo Perini
H-Index: 1
Jesse Davis
H-Index: 24
Semi-Supervised Isolation Forest for Anomaly Detection
2024
Lorenzo Perini
H-Index: 1
Jesse Davis
H-Index: 24
Machine learning with a reject option: A survey
Machine Learning
2024/3/29
Operational, Uncertainty-Aware, and Reliable Anomaly Detection
2024/3/28
Lorenzo Perini
H-Index: 1
Unsupervised anomaly detection with rejection
Advances in Neural Information Processing Systems
2024/2/13
Lorenzo Perini
H-Index: 1
Jesse Davis
H-Index: 24
Detecting Evasion Attacks in Deployed Tree Ensembles
2023/9/18
Semi-supervised Learning from Active Noisy Soft Labels for Anomaly Detection
2023/9/17
Lorenzo Perini
H-Index: 1
Jesse Davis
H-Index: 24
Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection
2023/8/6
Estimating the contamination factor’s distribution in unsupervised anomaly detection
2023/7/3
Lorenzo Perini
H-Index: 1
Arto Klami
H-Index: 18
How to allocate your label budget? choosing between active learning and learning to reject in anomaly detection
arXiv preprint arXiv:2301.02909
2023/1/7
Lorenzo Perini
H-Index: 1
Jesse Davis
H-Index: 24
Multi-domain active learning for semi-supervised anomaly detection
2022/9/19
Transferring the contamination factor between anomaly detection domains by shape similarity
Proceedings of the AAAI Conference on Artificial Intelligence
2022/6/28
The effect of hyperparameter tuning on the comparative evaluation of unsupervised anomaly detection methods
Proceedings of the KDD'21 Workshop on Outlier Detection and Description
2021/8/15
A ranking stability measure for quantifying the robustness of anomaly detection methods
2020
Lorenzo Perini
H-Index: 1
Vincent Vercruyssen
H-Index: 4
Quantifying the confidence of anomaly detectors in their example-wise predictions
2020/9/14
Class prior estimation in active positive and unlabeled learning
Proceedings of the 29th international joint conference on artificial intelligence and the 17th pacific rim international conference on artificial intelligence (ijcai-pricai 2020)
2020/1/1