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Ancillary activities

  • bunq B.V. | Amsterdam | Medewerker | 2017-06-13

Ancillary activities are updated daily

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Reinforcement learning Engineering & Materials Science
Reinforcement Learning Mathematics
Electronic medical equipment Engineering & Materials Science
Simulators Engineering & Materials Science
Personalization Mathematics
Health Engineering & Materials Science
Human Behavior Mathematics
Simulator Mathematics

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Research Output 2016 2018

  • 3 Conference contribution

Personalization of health interventions using cluster-based reinforcement learning

el Hassouni, A., Hoogendoorn, M., van Otterlo, M. & Barbaro, E., 2018, PRIMA 2018 Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings. Oren, N., Sakurai, Y., Noda, I., Cao Son, T., Miller, T. & Savarimuthu, B. T. (eds.). Springer/Verlag, p. 467-475 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11224 LNAI)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Personalization
Reinforcement learning
Reinforcement Learning
Health
Learning algorithms

Using generative adversarial networks to develop a realistic human behavior simulator

el Hassouni, A., Hoogendoorn, M. & Muhonen, V., 2018, PRIMA 2018 Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings. Oren, N., Sakurai, Y., Noda, I., Cao Son, T., Miller, T. & Savarimuthu, B. T. (eds.). Springer/Verlag, p. 476-483 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11224 LNAI)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Human Behavior
Simulator
Simulators
Simulation Environment
Reinforcement learning

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

Hoogendoorn, M., El Hassouni, A., Mok, K., Ghassemi, M. & Szolovits, P., 13 Oct 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers, Inc., Vol. 2016-October, p. 2464-2467 4 p. 7591229

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Electronic medical equipment
Electronic Health Records
Mortality
Intensive care units
Learning systems