Projects per year
Personal profile
Education/Academic qualification
PhD, Unsupervised Representation Learning and Health Insurance Anomaly Detection
2018 → 2024
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Collaborations and top research areas from the last five years
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HYPER-IP: Hyperspectral Imaging Platform for the European Defence
Haelterman, R. (Promotor), Hosteaux, S. (Researcher) & De Meulemeester, H. (Researcher)
11/12/24 → 10/06/27
Project: Research
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UXO-4D: Detection of UXO using spectro-spatial analysis
Haelterman, R. (Promotor) & De Meulemeester, H. (Researcher)
1/12/26 → 30/11/30
Project: Research
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ARIES: Advanced Resolution and Intelligence for Explosive Sensing
De Meulemeester, H. (Promotor)
1/12/25 → 30/11/28
Project: Research
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DECAT: New systems and techniques for DEtection of CAmouflage Targets
Haelterman, R. (Promotor), De Meulemeester, H. (Researcher) & Vandewal, M. (Promotor)
Project: Research
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Explainable unsupervised anomaly detection for healthcare insurance data
De Meulemeester, H., De Smet, F., van Dorst, J., Derroitte, E. & De Moor, B., Dec 2025, In: BMC Medical Informatics and Decision Making. 25, 1, p. 14 14.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure) -
Duality in Multi-View Restricted Kernel Machines
Achten, S., Pandey, A., Meulemeester, H. D., Moor, B. D. & Suykens, J. A. K., 2023Research output: Other contribution
File11 Downloads (Pure) -
Multi-view kernel PCA for time series forecasting
Pandey, A., Meulemeester, H. D., Moor, B. D. & Suykens, J. A. K., 2023, In: Neurocomputing. 554, p. 126639 1 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure) -
Recurrent restricted kernel machines for time-series forecasting
Pandey, A., De Meulemeester, H., De Plaen, H., Moor, B. D. & Suykens, J. A. K., 2022, Proceedings of ESANN 2022.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile7 Downloads (Pure)