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Ali el Hassouni
Titel
Zitiert von
Zitiert von
Jahr
Reinforcement learning for personalization: a systematic literature review
F den Hengst, EM Grua, A el Hassouni, M Hoogendoorn
Journal of Data Science: Methods, Infrastructure, and Applications, 2020
412020
Prediction using patient comparison vs. modeling: A case study for mortality prediction
M Hoogendoorn, A El Hassouni, K Mok, M Ghassemi, P Szolovits
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
392016
Personalization of health interventions using cluster-based reinforcement learning
A el Hassouni, M Hoogendoorn, M van Otterlo, E Barbaro
International Conference on Principles and Practice of Multi-Agent Systems …, 2018
272018
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis
L Roggeveen, A El Hassouni, J Ahrendt, T Guo, L Fleuren, P Thoral, ...
Artificial Intelligence in Medicine 112, 102003, 2021
252021
End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning
A El Hassouni, M Hoogendoorn, AE Eiben, M van Otterlo, V Muhonen
2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 258-264, 2019
92019
Using generative adversarial networks to develop a realistic human behavior simulator
A el Hassouni, M Hoogendoorn, V Muhonen
International Conference on Principles and Practice of Multi-Agent Systems …, 2018
62018
Release of the systematic literature review into reinforcement learning for personalization
F den Hengst, E Grua, A el Hassouni, M Hoogendoorn
Zenodo, 2020
52020
Mixing Consistent Deep Clustering
D Lutscher, A Hassouni, M Stol, M Hoogendoorn
International Conference on Machine Learning, Optimization, and Data Science …, 2021
12021
pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice
A Hassouni, M Hoogendoorn, M Ciharova, A Kleiboer, K Amarti, ...
arXiv preprint arXiv:2103.15908, 2021
12021
A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions
A el Hassouni, M Hoogendoorn, M van Otterlo, AE Eiben, V Muhonen, ...
https://arxiv.org/abs/1804.03592, 2020
12020
Data-driven models for mortality assessment at the Intensive Care Unit
A el Hassouni, M Hoogendoorn
12016
Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation
LF Roggeveen, A Hassouni, HJ de Grooth, ARJ Girbes, M Hoogendoorn, ...
Intensive Care Medicine Experimental 12 (1), 1-13, 2024
2024
A model a day keeps the doctor away: Reinforcement learning for personalized healthcare
A el Hassouni
2022
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse: the first 1633 critically ill COVID-19 …
PJ Thoral, L Roggeveen, F van Diggelen, A el Hassouni, DR Guzman, ...
Intensive care medicine 47 (4), 478-481, 2021
2021
Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making
A el Hassouni, M Hoogendoorn, AE Eiben, V Muhonen
International Conference on Machine Learning, Optimization, and Data Science …, 2020
2020
Generative Fourier-Based Auto-encoders: Preliminary Results
A Zonta, A El Hassouni, DW Romero, JM Tomczak
Machine Learning, Optimization, and Data Science: 6th International …, 2020
2020
Fraud detection using machine learning methods
A el Hassouni
Vrije Universiteit Amsterdam, 2016
2016
Automated Transaction Monitoring
R Hageman, B Kostense, B van Walraven, HJ van der Wilk
VU Research Portal
A el Hassouni, M Hoogendoorn
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