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2020 – today
- 2023
[c14]Lorenzo Perini
, Vincent Vercruyssen, Jesse Davis:
Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection. KDD 2023: 1897-1906- [i2]Jonas Soenen, Elia Van Wolputte, Vincent Vercruyssen, Wannes Meert, Hendrik Blockeel:
AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection. CoRR abs/2305.12958 (2023) - 2022
- [c13]Lorenzo Perini, Vincent Vercruyssen, Jesse Davis:
Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity. AAAI 2022: 4128-4136 - [c12]Ioannis Antoniadis, Vincent Vercruyssen, Jesse Davis:
Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection. LIDTA 2022: 8-22 - [c11]Vincent Vercruyssen, Lorenzo Perini, Wannes Meert, Jesse Davis:
Multi-domain Active Learning for Semi-supervised Anomaly Detection. ECML/PKDD (4) 2022: 485-501 - 2021
- [i1]Nirmal Sobha Kartha, Clément Gautrais, Vincent Vercruyssen:
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection. CoRR abs/2112.06858 (2021) - 2020
- [c10]Vincent Vercruyssen, Wannes Meert, Jesse Davis:
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection. AAAI 2020: 6054-6061 - [c9]Lorenzo Perini, Vincent Vercruyssen, Jesse Davis:
Class Prior Estimation in Active Positive and Unlabeled Learning. IJCAI 2020: 2915-2921 - [c8]Lorenzo Perini, Vincent Vercruyssen, Jesse Davis:
Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions. ECML/PKDD (3) 2020: 227-243 - [c7]Lorenzo Perini, Connor Galvin, Vincent Vercruyssen:
A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods. PKDD/ECML Workshops 2020: 397-408 - [c6]Vincent Vercruyssen, Wannes Meert, Jesse Davis:
"Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series. SDM 2020: 127-135
2010 – 2019
- 2019
- [c5]Len Feremans, Vincent Vercruyssen, Wannes Meert, Boris Cule, Bart Goethals:
A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs. NFMCP@PKDD/ECML 2019: 3-20 - [c4]Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals:
Pattern-Based Anomaly Detection in Mixed-Type Time Series. ECML/PKDD (1) 2019: 240-256 - 2018
- [c3]Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis:
Semi-Supervised Anomaly Detection with an Application to Water Analytics. ICDM 2018: 527-536 - 2017
- [c2]Vincent Vercruyssen, Wannes Meert, Jesse Davis:
Transfer Learning for Time Series Anomaly Detection. IAL@PKDD/ECML 2017: 27-36 - 2016
- [c1]Vincent Vercruyssen, Luc De Raedt, Jesse Davis:
Qualitative Spatial Reasoning for Soccer Pass Prediction. MLSA@PKDD/ECML 2016
Coauthor Index
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