| Data-driven fraud detection in international shipping R Triepels, H Daniels, A Feelders Expert Systems with Applications 99, 193-202, 2018 | 33 | 2018 |
| 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 | 11 | 2017 |
| Anomaly detection in real-time gross settlement systems R Triepels, H Daniels, R Heijmans International Conference on Enterprise Information Systems 2, 433-441, 2017 | 9 | 2017 |
| 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 | 9 | 2015 |
| Liquidity stress detection in the European banking sector R Heuver, R Triepels De Nederlandsche Bank Working Paper, 2019 | 2 | 2019 |
| Monitoring liquidity management of banks with recurrent neural networks R Triepels, H Daniels, R Berndsen Computational Economics 57 (1), 89-112, 2021 | 1 | 2021 |
| Auditing Data Reliability in International Logistics L Liu, H Daniels, R Triepels Proceedings of the 16th International Conference on Enterprise Information …, 2014 | 1 | 2014 |
| 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 |
