Expertise
Computer Science
- Reinforcement Learning
- Robot
- Computer Interface
- Representation Learning
- Models
- Control
- Robotics
- mobile robot navigation
Organisations
Publications
2024
MetaLIRS: 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_15The interaction between imputation and regression models (2024)[Contribution to conference › Poster] 22nd International Conference of AI in Medicine, AIME 2024. Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.Machine learning-enhanced mass flow measurements using a Coriolis mass flow sensor (2024)In The 5th Conference On MicroFluidic Handling Systems (MFHS 2024) (pp. 65-68). Zubavicius, R., Alveringh, D., Poel, M., Groenesteijn, J., Sanders, R. G. P., Wiegerink, R. J. & Lötters, J. C.Complication Prediction after Esophagectomy with Machine Learning (2024)Diagnostics, 14(4). Article 439. van de Beld, J.-J., Crull, D., Mikhal, J., Geerdink, J., Veldhuis, A., Poel, M. & Kouwenhoven, E. A.https://doi.org/10.3390/diagnostics14040439Fluid Viscosity and Density Determination With Machine Learning-Enhanced Coriolis Mass Flow Sensors (2024)In 2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS) (pp. 82-85). IEEE. Zubavicius, R., Alveringh, D., Poel, M., Groenesteijn, J., Sanders, R. G. P., Wiegerink, R. J. & Lötters, J. C.https://doi.org/10.1109/MEMS58180.2024.10439597The Impact of Missing Data Imputation on Model Performance and Explainability (2024)[Contribution to conference › Paper] BNAIC/BeNeLearn 2024. Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.
2023
Database of lower limb kinematics and electromyography during gait-related activities in able-bodied subjects (2023)Scientific Data, 10. Article 461. Schulte, R. V., Prinsen, E. C., Schaake, L., Paassen, R. P. G., Zondag, M., Staveren, E. S. v., Poel, M. & Buurke, J. H.https://doi.org/10.1038/s41597-023-02341-6Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models (2023)[Working paper › Preprint]. ArXiv.org. Botteghi, N., Califano, F., Poel, M. & Brune, C.https://doi.org/10.48550/arXiv.2306.15512
2022
Up to one's knees in data: Data-driven intent recognition using electromyography for the lower limb (2022)[Thesis › PhD Thesis - Research external, graduation UT]. University of Twente. Schulte, R. V.https://doi.org/10.3990/1.9789036554862Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes (2022)BMC medical informatics and decision making, 22. Article 227. Verma, D., Jansen, D., Bach, K., Poel, M., Mork, P. J. & d'Hollosy, W.https://doi.org/10.1186/s12911-022-01973-9
Research profiles
My main educational topics are Artificial Intelligence, Machine Learning and Brain Computer Interfaces.
Affiliated study programs
Courses academic year 2024/2025
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2023/2024
Address
University of Twente
Zilverling (building no. 11), room 4102
Hallenweg 19
7522 NH Enschede
Netherlands
University of Twente
Zilverling 4102
P.O. Box 217
7500 AE Enschede
Netherlands
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