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Researcher
Lorenzo Perini
- Disciplines:Computer science
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Oct 2019 → 4 Aug 2020
Projects
1 - 1 of 1
- Flexible and weak supervision techniques for learningFrom18 Sep 2019 → TodayFunding: FWO fellowships
Publications
1 - 6 of 6
- Operational, Uncertainty-Aware, and Reliable Anomaly Detection(2024)
Authors: Lorenzo Perini, Jesse Davis
- Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection(2023)
Authors: Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Pages: 1897 - 1906Number of pages: 10 - Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection(2023)
Authors: Lorenzo Perini
Number of pages: 12 - Detecting Evasion Attacks in Deployed Tree Ensembles(2023)
Authors: Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis
Pages: 120 - 136 - A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods(2021)
Authors: Lorenzo Perini, Vincent Vercruyssen
Pages: 397 - 408 - Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions(2021)
Authors: Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Pages: 227 - 243Number of pages: 17