Research output per year
Research output per year
Personal profile
Research
My research focuses on machine learning and its applications, the latter primarily applied in the domain of health and wellbeing. The research ranges from more fundamental machine learning research (including efficiency, explainability, safety, incorporating domain knowledge, and hybrid intelligence) to application driven research focusing on for instance predictive modeling for diseases, personalized therapies and support systems, and eHealth and mHealth systems.
Ancillary activities
- Cairus Holding B.V. | Nieuwkoop | Directeur/eigenaar | 2020-10-09 - present
- PersonalAIze B.V. | Amsterdam | Directeur/eigenaar | 2020-10-09 - present
- Volleybalvereniging Waterlanders | Nieuwkoop | Bestuurder | 2023-11-07 - present
Ancillary activities are updated daily
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ModernTCN Revisited: A Critical Look at the Experimental Setup in General Time Series Analysis
Akaçık, Ö. & Hoogendoorn, M., Jun 2025, In: Transactions on Machine Learning Research. 2025, 6, p. 1-29 29 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Associations of Clinical Characteristics With Sudden Cardiac Arrest in People With Type 2 Diabetes With and Without Cardiovascular Disease: A Longitudinal Case-Control Study Using Routine Primary Care Data
RESCUED Investigators, Jan 2025, In: Diabetes care. 48, 1, p. 125-135 11 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open AccessFile19 Downloads (Pure) -
Analyzing Latent Entropy in Deep Q-Learning
Kooi, J. E., Hoogendoorn, M. & Francois-Lavet, V., 2025, 2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media (CISM): [Proceedings]. Institute of Electrical and Electronics Engineers Inc., p. 1-7 7 p.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
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Joint Demapping of QAM and APSK Constellations Using Machine Learning
Gansekoele, A., Balatsoukas-Stimming, A., Brusse, T., Hoogendoorn, M., Bhulai, S. & Van Der Mei, R., 2025, In: IEEE Open Journal of the Communications Society. 6, p. 1695-1709 15 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence
van der Linden, R., Amarti, K., Ciharova, M., Kleiboer, A., Riper, H., Lisowska, A. & Hoogendoorn, M., 2025, Artificial Intelligence in Medicine: 23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part II. Bellazzi, R., Juarez Herrero, J. M., Sacchi, L. & Zupan, B. (eds.). Springer Nature, Vol. 2. p. 416-421 6 p. (Lecture Notes in Computer Science; vol. 15735 LNAI)(AIME: International Conference on Artificial Intelligence in Medicine; vol. 2025).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Courses
Activities
- 1 Editorial work
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Applied Artificial Intelligence (Journal)
Bosse, T. (Member of editorial board) & Hoogendoorn, M. (Member of editorial board)
2015Activity: Peer review and Editorial work › Editorial work › Academic