Ali el Hassouni

According to our database, Ali el Hassouni authored at least 10 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis.

Luca F. Roggeveen, Ali el Hassouni, Jonas Ahrendt, Tingjie Guo, Lucas M. Fleuren, Patrick Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers

Artif. Intell. Medicine, 2021

Mixing Consistent Deep Clustering.

Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice.

Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

Reinforcement learning for personalization: A systematic literature review.

Floris den Hengst, Eoin Martino Grua, Ali el Hassouni, Mark Hoogendoorn

Data Sci., 2020

Generative Fourier-Based Auto-encoders: Preliminary Results.

Alessandro Zonta, Ali el Hassouni, David W. Romero, Jakub M. Tomczak

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making.

Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Vesa Muhonen

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning.

Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Martijn van Otterlo, Vesa Muhonen

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

2018

Personalization of Health Interventions Using Cluster-Based Reinforcement Learning.

Ali el Hassouni, Mark Hoogendoorn, Martijn van Otterlo, Eduardo Barbaro

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

Using Generative Adversarial Networks to Develop a Realistic Human Behavior Simulator.

Ali el Hassouni, Mark Hoogendoorn, Vesa Muhonen

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

2016

Prediction using patient comparison vs. modeling: A case study for mortality prediction.

Mark Hoogendoorn, Ali el Hassouni, Kwongyen Mok, Marzyeh Ghassemi, Peter Szolovits

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016