R.J.M.A. Triepels

Triepels, R. J. M. A., Segers, M. H. M., Rosen, P., Nuijts, R. M. M. A., van den Biggelaar, F. J. H. M., Henry, Y. P., Stenevi, U., Tassignon, M. J., Young, D., Behndig, A., Lundstroem, M., & Dickman, M. M. (2023). Development of machine learning models to predict posterior capsule rupture based on the EUREQUO registry. Acta Ophthalmologica, 101(6), 644-650. https://doi.org/10.1111/aos.15648

Triepels, R. J. M. A., Segers, M. H. M., Nuijts, R. M. M. A., Rosen, P., Henry, Y. P., Stenevi, U., Tassignon, M. J., Young, D., Behndig, A., Lundstrom, M., & Dickman, M. M. (2022). Prediction of posterior capsule rupture with machine learning based on the EUREQUO. Acta Ophthalmologica, 100(s268), 37-38.

Triepels, R., Daniels, H., & Berndsen, R. (2021). Monitoring Liquidity Management of Banks With Recurrent Neural Networks. Computational Economics, 57(1), 89-112. https://doi.org/10.1007/s10614-020-10067-5

Triepels, R., Daniels, H., & Feelders, A. (2018). Data-driven fraud detection in international shipping. Expert Systems with Applications, 99, 193-202. https://doi.org/10.1016/j.eswa.2018.01.007