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  • 2022

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

    el Hassouni, A., Hoogendoorn, M., Ciharova, M., Kleiboer, A., Amarti, K., Muhonen, V., Riper, H. & Eiben, A. E., 2022, Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Revised Selected Papers. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. & Umeton, R. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 13163 LNCS. p. 265-280 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13163 LNCS).

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

  • 2018

    Mood mirroring with an embodied virtual agent: A pilot study on the relationship between personalized visual feedback and adherence

    Provoost, S., Ruwaard, J., Neijenhuijs, K., Bosse, T. & Riper, H., 1 Jan 2018, Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. Corchado, J. M., Julian, V., Osaba Icedo, E., Bajo, J., Hoffa-Dabrowska, P., Silveira, R. A., Fernandez, A., Giroux, S., Navarro Martínez, E. M., Mathieu, P., Castro, A. J., Sanchez-Pi, N., del Val, E., Unland, R. & Fuentes-Fernandez, R. (eds.). Springer-Verlag, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 887).

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