• Login
  • Register

Work for a Member company and need a Member Portal account? Register here with your company email address.

Project

Predicting students' wellbeing from physiology, phone, mobility, and behavioral data

Creative Commons

Attribution-NonCommercial-NoDerivatives 4.0 International

MIT Media Lab

Groups
Publication

Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students

Taylor, S., Jaques, N., Nosakhare, E., Sano, A., Klerman, E., and Picard, R. "Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students," Sleep2017, June 2017.

Publication

Multi-task Learning for Predicting Health, Stress, and Happiness

Jaques, N., Taylor, S., Nosakhare, E., Sano, A., Picard, R. In Proc. NIPS Workshop on ML in Health, Barcelona, Spain, December 2016. **BEST PAPER AWARD**

Publication

Multi-task Multi-Kernel Learning for Estimating Individual Wellbeing

Jaques, N., Taylor, S., Sano, A., and Picard, R.W. "Multi-task, Multi-Kernel Learning for Estimating Individual Wellbeing" In Proc. NIPS Workshop on Multimodal Machine Learning, Montreal, Quebec, December 2015.

Publication

Predicting students' happiness from physiology phone mobility and behavioral data

Jaques, N., Taylor, S., Azaria, A., Ghandeharioun, A., Sano, A., and Picard, R. "Predicting students' happiness from physiology, phone, mobility, and behavioral data" In Proc. Affective Computing and Intelligent Interaction (ACII), Xi'an, China, September 2015.