Project

Improving wellbeing prediction performance using temporal machine learning models

Terumi Umematsu

Groups

Publication

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks.", 2019 IEICE Society Conference, Japan, September 2019.

Publication

Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness

Umematsu, T., Sano, A., and Picard, R. "Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness," the 41st International Engineering in Medicine and Biology Conference (EMBC), p.2186-2190, Berlin, July 2019.

Publication

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)

Publication

Improving Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Stress Forecasting using LSTM Neural Networks." The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018.