| Data-driven fraud detection in international shipping R Triepels, H Daniels, A Feelders Expert Systems with Applications 99, 193-202, 2018 | 48 | 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 | 17 | 2017 |
| Uncovering document fraud in maritime freight transport based on probabilistic classification R Triepels, A Feelders, H Daniels Computer Information Systems and Industrial Management: 14th IFIP TC 8 …, 2015 | 16 | 2015 |
| Anomaly detection in real-time gross settlement systems R Triepels, H Daniels, R Heijmans International Conference on Enterprise Information Systems 2, 433-441, 2017 | 13 | 2017 |
| Monitoring liquidity management of banks with recurrent neural networks R Triepels, H Daniels, R Berndsen Computational Economics 57 (1), 89-112, 2021 | 6 | 2021 |
| Liquidity stress detection in the European banking sector R Heuver, R Triepels De Nederlandsche Bank Working Paper, 2019 | 6 | 2019 |
| 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 | 1 | 2015 |
| Auditing Data Reliability in International Logistics L Liu, H Daniels, R Triepels Proceedings of the 16th International Conference on Enterprise Information …, 2014 | 1 | 2014 |
| Detection of Bank Liquidity Stress using Recurrent Neural Networks R Triepels, R Heuver | | 2023 |
| Development of machine learning models to predict posterior capsule rupture based on the EUREQUO registry RJMA Triepels, MHM Segers, P Rosen, RMMA Nuijts, ... Acta ophthalmologica 101 (6), 644-650, 2023 | | 2023 |
| SASHA: Hyperparameter Optimization by Simulated Annealing and Successive Halving R Triepels IFIP International Conference on Artificial Intelligence Applications and …, 2023 | | 2023 |
| Anomaly Detection by Robust Feature Reconstruction R Triepels Proceedings of the 22nd Engineering Applications of Neural Networks …, 2021 | | 2021 |
| Anomaly detection in the shipping and banking industry R Triepels | | 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 |
