Postdoctoral Researcher @ KU Leuven.
Research Interests: Uncertainty Quantification, Anomaly Detection
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KU Leuven
- Leuven
- https://people.cs.kuleuven.be/~lorenzo.perini/
- @LorenzoPerini95
Highlights
- Pro
Popular repositories Loading
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Active_PU_Learning
Active_PU_Learning PublicClass Prior Estimation in Active Positive and Unlabeled Learning
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Confidence_AD
Confidence_AD PublicEstimation of the confidence measure for anomaly detectors, as explained in the paper "Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions" (ECML-PKDD 2020).
Jupyter Notebook 12
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TransferContamination
TransferContamination PublicCode and supplementary material of the paper "Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity", AAAI22.
Jupyter Notebook 4
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StabilityRankings_AD
StabilityRankings_AD PublicA Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods
Jupyter Notebook 3
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