Ron Triepels
Ron Triepels
Verified email at maastrichtuniversity.nl
Title
Cited by
Cited by
Year
Data-driven fraud detection in international shipping
R Triepels, H Daniels, A Feelders
Expert Systems with Applications 99, 193-202, 2018
332018
Detection and explanation of anomalous payment behavior in real-time gross settlement systems
R Triepels, H Daniels, R Heijmans
International Conference on Enterprise Information Systems, 145-161, 2017
112017
Uncovering document fraud in maritime freight transport based on probabilistic classification
R Triepels, A Feelders, H Daniels
IFIP International Conference on Computer Information Systems and Industrial …, 2015
112015
Anomaly detection in real-time gross settlement systems
R Triepels, H Daniels, R Heijmans
International Conference on Enterprise Information Systems 2, 433-441, 2017
92017
Liquidity stress detection in the European banking sector
R Heuver, R Triepels
De Nederlandsche Bank Working Paper, 2019
22019
Monitoring liquidity management of banks with recurrent neural networks
R Triepels, H Daniels, R Berndsen
Computational Economics 57 (1), 89-112, 2021
12021
Auditing Data Reliability in International Logistics
L Liu, H Daniels, R Triepels
Proceedings of the 16th International Conference on Enterprise Information …, 2014
12014
Anomaly Detection by Robust Feature Reconstruction
R Triepels
International Conference on Engineering Applications of Neural Networks, 42-53, 2021
2021
Anomaly detection in the shipping and banking industry
R Triepels
Tilburg University, 2019
2019
A comparison of three models to predict liquidity flows between banks based on daily payments transactions
R Triepels, H Daniels
CentER Discussion Paper Series, 2016
2016
Detecting shipping fraud in global supply chains using probabilistic trajectory classification
R Triepels, H Daniels
17th International Conference on Enterprise Information Systems (ICEIS 2015 …, 2015
2015
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Articles 1–11