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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned
Ciharova, M., Amarti, K., van Breda, W., Gevonden, M. J., Ghassemi, S., Kleiboer, A., Vinkers, C. H., Sep, M. S. C., Trofimova, S., Cooper, A. C., Peng, X., Schulte, M., Karyotaki, E., Cuijpers, P. & Riper, H., 2025, In: Frontiers in psychiatry. 16, 1548287.Research output: Contribution to journal › Article* › Academic › peer-review
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The effectiveness of a mobile intervention to reduce young adults’ alcohol consumption to not exceed low-risk drinking guidelines
Schulte, M. H. J., Boumparis, N., Kleiboer, A., Wind, T. R., Olff, M., Huizink, A. C. & Riper, H., 6 Dec 2022, In: Frontiers in digital health. 4, 1016714.Research output: Contribution to journal › Article* › Academic › peer-review
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Feasibility of Digital Cognitive Behavioral Therapy for Depressed Older Adults With the Moodbuster Platform: Protocol for 2 Pilot Feasibility Studies
Amarti, K., Schulte, M. H. J., Kleiboer, A., van Genugten, C. R., Oudega, M., Sonnenberg, C., Gonçalves, G. C., Rocha, A. & Riper, H., 1 Oct 2022, In: JMIR research protocols. 11, 10, 13 p., e41445.Research output: Contribution to journal › Article* › Academic › peer-review
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