Zilverling

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

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

Expertises

  • Computer Science

    • Case Study
    • Artificial Intelligence
    • Data Integration
    • Explainable Artificial Intelligence
    • Disambiguation
    • Neural Network
    • Sparsity
    • Search Engine

Organisaties

Publicaties

2026

Enhancing Crime Scene Investigations: From technology to evidence (2026)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Rangelov, D.https://doi.org/10.3990/1.9789036573344From Fiction to Forensics: Mitigating the Digital CSI Effect Through Interactive Workshops on Artificial Intelligence and 3D Crime Scene Reconstruction (2026)Forensic Sciences, 6(3). Article 78. Bhandari, S., Rangelov, D., Waanders, K., Waanders, S. & van Keulen, M.https://doi.org/10.3390/forensicsci6030078ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series (2026)[Working paper › Preprint]. ArXiv.org. Jutte, A., Ahmed, F., Linssen, J. & van Keulen, M.https://doi.org/10.48550/arXiv.2607.18748Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling (2026)In Proceedings of the 43rd International Conference on Machine Learning (pp. 139069-139085) (Proceedings of Machine Learning Research (PMLR); Vol. 306). MLResearchPress. Xiao, Q., Wu, B., Okanovic, P., Sternal, T., van Keulen, M., Mocanu, E., Pechenizkiy, M., Mocanu, D. C. & Hoefler, T.https://proceedings.mlr.press/v306/xiao26t.htmlTowards a Systematic Open-Source Information Fusion Framework for Criminal Investigations (2026)In Information Processing and Management of Uncertainty in Knowledge-Based Systems: IPMU 2026 (pp. 46-60) (Communications in Computer and Information Science; Vol. 3021). Springer (E-pub ahead of print/First online). Bhandari, S., Dinh, T. N. V. & van Keulen, M.https://doi.org/10.1007/978-3-032-29000-7_4Data Management for the AI Era: Ensuring Reliability and Accountability (2026)[Book/Report › Book]. Springer. Ceravolo, P., Barbon, S., Bukhsh, F., van Keulen, M., Maghool, S. & Wrembel, R.https://link.springer.com/book/9783032243904When Data Is Scarce: Scaling Sparse Language Models with Repeated Training (2026)[Working paper › Preprint]. ArXiv.org. Wu, B., Xiao, Q., Okanovic, P., Sternal, T., van Keulen, M., Pechenizkiy, M., Mocanu, E., Hoefler, T. & Mocanu, D. C.https://doi.org/10.48550/arXiv.2606.01155Mitigating the CSI effect in learning about technological innovations in crime investigation (2026)[Contribution to conference › Abstract] 1st International Online Conference on Social Sciences, IOCSS 2026. Bhandari, S., Rangelov, D., Waanders, K., Waanders, S. & van Keulen, M.https://sciforum.net/paper/31172Evaluating 3D Reconstruction: A Side-by-Side Comparison of NeRF and Gaussian Splatting in Indoor and Outdoor Environments (2026)Engineering, Technology and Applied Science Research, 16(2), 33736-33745. Rangelov, D., Waanders, S., Waanders, K., Genchev, E., van Keulen, M. & Miltchev, R.https://doi.org/10.48084/etasr.16947Handling missing data with meta-learning and large language models (2026)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Baysal Erez, I.https://doi.org/10.3990/1.9789036570633

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Vakken collegejaar 2026/2027

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken collegejaar 2025/2026

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