Vincent Vercruyssen

16 papers A* 5A 1Journal 2Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection. CoRR Jonas Soenen, Elia Van Wolputte, Vincent Vercruyssen, Wannes Meert, Hendrik Blockeel
2023	A*	`conf`	Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection. KDD Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
2022	—	`conf`	Multi-domain Active Learning for Semi-supervised Anomaly Detection. ECML/PKDD (4) Vincent Vercruyssen, Lorenzo Perini, Wannes Meert, Jesse Davis
2022	—	`conf`	Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection. LIDTA Ioannis Antoniadis, Vincent Vercruyssen, Jesse Davis
2022	A*	`conf`	Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity. AAAI Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
2021	J	`jnl`	Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection. CoRR Nirmal Sobha Kartha, Clément Gautrais, Vincent Vercruyssen
2020	A	`conf`	"Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series. SDM Vincent Vercruyssen, Wannes Meert, Jesse Davis
2020	—	`conf`	A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods. PKDD/ECML Workshops Lorenzo Perini, Connor Galvin, Vincent Vercruyssen
2020	A*	`conf`	Class Prior Estimation in Active Positive and Unlabeled Learning. IJCAI Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
2020	—	`conf`	Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions. ECML/PKDD (3) Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
2020	A*	`conf`	Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection. AAAI Vincent Vercruyssen, Wannes Meert, Jesse Davis
2019	—	`conf`	A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs. NFMCP@PKDD/ECML Len Feremans, Vincent Vercruyssen, Wannes Meert, Boris Cule, Bart Goethals
2019	—	`conf`	Pattern-Based Anomaly Detection in Mixed-Type Time Series. ECML/PKDD (1) Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals
2018	A*	`conf`	Semi-Supervised Anomaly Detection with an Application to Water Analytics. ICDM Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis
2017	—	`conf`	Transfer Learning for Time Series Anomaly Detection. IAL@PKDD/ECML Vincent Vercruyssen, Wannes Meert, Jesse Davis
2016	—	`conf`	Qualitative Spatial Reasoning for Soccer Pass Prediction. MLSA@PKDD/ECML Vincent Vercruyssen, Luc De Raedt, Jesse Davis