Ghandeharioun, A., Eoff, B., Jou, B., & Picard, R. W. (2019). Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. arXiv preprint arXiv:1909.09285.
Rudovic, O., Lee, J., Dai, M., Schuller, B. , Picard, R. W., " Personalized machine learning for robot perception of affect and engagement in autism therapy," Science Robotics, June 2018.
Bernal, Guillermo, and Pattie Maes. "Emotional Beasts: Visually Expressing Emotions through Avatars in VR." Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2017.
Hernandez, J., McDuff, D., Infante, C., Maes, P., Quigley, K., and Picard, R. W. "Wearable ESM: Comparing the Wearable Experience Sampling Method across Wearable Devices," In Proceedings of Mobile Human Computer Interaction, Florence, Italy, September 2016.
Jaques, N., Engel, J., Ha, D., Bertsch, F., Picard, R., and Eck, D. "Learning via social awareness: improving sketch representations with facial feedback." International Conference on Learning Representations (ICLR) Workshop, Vancouver, Canada, April 2018.
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.
Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally.
Howe, E., Ghandeharioun, A., Pedrelli, P., Mischoulon, D., Picard, R., Fedor, S. "Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study," Association for Behavioral and Cognitive Therapies Annual Convention – Tech SIG, San Diego, CA, November 2017.
Taylor, S., Sano, A., and Picard, R. W. "Findings from Modeling Peaks in Electrodermal Activity during Sleep as a Point Process" 56th Annual Meeting of the Society for Psychophysiological Research, Minnesota, USA, September 2016.
Sano, A., Phillips, A.J., Yu A.Z., McHill, A.W., Taylor, S., Jaques, N., Czeisler, C,A., Klerman, E.B., Picard. R.W., "Recognizing Academic Performance, Sleep Quality, Stress Level, and Mental Health using Personality Traits, Wearable Sensors and Mobile Phones," In the proceedings of Body Sensor Networks, Cambridge, USA, June 2015.
Sano, A., Yu A.Z., McHill, A.W., Phillips, A.J., Taylor, S., Jaques, N., Czeisler, C,A., Klerman, E.B., Picard. R.W. "Prediction of Happy-Sad Mood from Daily Behaviors and Previous Sleep History" In Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015
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.
Pedrelli, P., Howe, E., Mischoulon, D., Picard, R., Ghandeharioun, A., Fedor, S."Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use," Connected Health Conference, Boston, MA, October 2017.
Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., Picard, R. "Objective assessment of depressive symptoms with machine learning and wearable sensors data," International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017.
Ghandeharioun, A., Picard, R."BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus," Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, Denver, May 2017.