Vincent Vercruyssen

Orcid: 0000-0003-3645-3135

According to our database1, Vincent Vercruyssen authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection.
CoRR, 2023

Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Multi-domain Active Learning for Semi-supervised Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection.
CoRR, 2021

2020
"Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Class Prior Estimation in Active Positive and Unlabeled Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs.
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

Pattern-Based Anomaly Detection in Mixed-Type Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Semi-Supervised Anomaly Detection with an Application to Water Analytics.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Transfer Learning for Time Series Anomaly Detection.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

2016
Qualitative Spatial Reasoning for Soccer Pass Prediction.
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016


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