Zilverling

prof.dr.ir. M. van Keulen (Maurice)

Adjunct Hoogleraar
EEMCS-CS-DMB
Zilverling 4061
m.vankeulen@utwente.nl
Visitekaartje

Expertises

  • Computer Science

    • Events
    • Database
    • Models
    • Case Study
    • Data Integration
    • Real World
    • Social Media
    • Machine Learning

Organisaties

Publicaties

2025

Unsupervised Detection of Postoperative Complications in Home-Monitored Patients: Preliminary Results (2025)In 2025 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE. Fatime, O. D., Waanders, I., Lips, D. J., Nane, G. F., van Keulen, M., Witteveen, A. & John, A.https://doi.org/10.1109/MeMeA65319.2025.11068044Unsupervised Change Point Detection for Early Complication Identification in Post-Surgical Oncology Patients (2025)[Contribution to conference › Abstract] 14th Supporting Health by Technology Conference 2025. Fatime, O. D., Waanders, I., Lips, D. J., Witteveen, A., Nane, G. F., van Keulen, M. & John, A.Cognitive biases, Robo advisor and investment decision psychology: An investor's perspective from New York stock exchange (2025)Acta psychologica, 256. Article 105048. Ahmad, U., van Keulen, M., Briassouli, A. & Saad, M.https://doi.org/10.1016/j.actpsy.2025.105048Extended MetaLIRS: Meta-learning for Imputation and Regression Selection Model with Explainability for Different Missing Data Mechanisms (2025)International Journal of Data Science and Analytics. Article 102587 (E-pub ahead of print/First online). Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.https://doi.org/10.1007/s41060-025-00808-wC-SHAP for time series: An approach to high-level temporal explanations (2025)[Working paper › Preprint]. ArXiv.org. Jutte, A., Ahmed, F., Linssen, J. & van Keulen, M.https://doi.org/10.48550/ARXIV.2504.11159Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness (2025)In The Thirteenth International Conference on Learning Representations. Wu, B., Xiao, Q., Wang, S., Strisciuglio, N., Pechenizkiy, M., Keulen, M. v., Mocanu, D. C. & Mocanu, E.https://openreview.net/forum?id=daUQ7vmGapImpact of Data Capture Methods on 3D Reconstruction with Gaussian Splatting (2025)Journal of imaging, 11(2). Article 65. Rangelov, D., Waanders, S., Waanders, K., van Keulen, M. & Miltchev, R.https://doi.org/10.3390/jimaging11020065Dynamic Predictive Models for Side Effects Following Cancer or Cancer Treatment: A Systematic Review (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Fatime, O. D., Schipper, R., Berendsen, A., Nane, G. F., van Keulen, M., Witteveen, A. & John, A.

2024

Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting (2024)Sensors (Switzerland), 24(23). Article 7594. Rangelov, D., Waanders, S., Waanders, K., van Keulen, M. & Miltchev, R.https://doi.org/10.3390/s24237594MetaLIRS: Meta-learning for Imputation and Regression Selection (2024)In Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024. Proceedings, Part I (pp. 155-166) (Lecture Notes in Computer Science; Vol. 15346). Springer. Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.https://doi.org/10.1007/978-3-031-77731-8_15

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Vakken collegejaar 2025/2026

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