• Login
  • Register

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

Past Member

Sara Taylor

Former Research Assistant
Publication

Forecasting Mental Distress using Healthcare Claims Data

Taylor, Sara. Forecasting Mental Distress using Healthcare Claims Data. 2020. MIT, PhD dissertation.

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

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

Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations

Slavich G.M., Taylor S., Picard R.W. "Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations," Stress, 2019.

Publication

Use of In-Game Rewards to Motivate Daily Self-Report Compliance: Randomized Controlled Trial

Taylor S., Ferguson C., Peng F., Schoeneich M., Picard R.W. "Use of In-Game Rewards to Motivate Daily Self-Report Compliance: Randomized Controlled Trial," Journal of Medical Internet Research, 21(1), e11683, 2019.

Publication

Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks

Sano A, Chen W, Lopez-Martinez D, Taylor S, Picard R. Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. Journal of Biomedical and Health Informatics. 2018.

Publication

Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks

Sano A, Chen W, Lopez-Martinez D, Taylor S, Picard RW. Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. IEEE J Biomed Health Inform. 2019 Jul;23(4):1607-1617. doi: 10.1109/JBHI.2018.2867619. Epub 2018 Aug 29. PMID: 30176613; PMCID: PMC6837840.

Publication

Vomit Comet Physiology: Autonomic Changes in Novice Flyers

Johnson, K.T., Taylor, S., Fedor, S., Jaques, N., Chen, W., Picard, R.W. "Vomit Comet Physiology: Autonomic Changes in Novice Flyers." Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018.

Publication

Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone

Sano,A., Taylor,S., Jaques,N., Chen,W., Lopez-Martinez,D., Nosakhare,E., Rudovic,O., Umematsu,T., and Picard,R., "Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone," The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2018.

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.

Publication

Identifying objective physiological markers and modifiable behaviors for self-reported stress and mental health status using wearable sensor

Sano, A., Taylor, S., McHill, A. W., Phillips, A. J. K., Barger, L. K., Klerman, E., and Picard, R., "Identifying objective physiological markers and modifiable behaviors for self-reported stress and mental health status using wearable sensors and Mobile Phones: Observational Study," Journal of Medical Internet Research, 2018;20(6):e210

Publication

QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform

Taylor, S.*, Sano, A.*, Ferguson, C., Mohan, A., Picard, R. "QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform," Sensors, April 2018. (*equal contribution)

Publication

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

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. WINNER: BEST OF COLLECTION

Publication

QuantifyMe: An Automated Single-Case Experimental Design Platform

Sano, A.*, Taylor, S.*, Ferguson, C., Mohan A., Picard, R. "QuantifyMe: An Automated Single-Case Experimental Design Platform," In Proc. International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Vienna, Austria, November 2017. (*equal contribution)

Publication

Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction

Jaques, N., Taylor, S., Sano, A., and Picard, R. International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017

Publication

Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation

Jaques, N., Rudovic, O., Taylor, S., Sano, A., and Picard, R. Proceedings of Machine Learning Research, 48, 17-33. August 2017.

Publication

Influence of Weekly Sleep Regularity on Self-Reported Wellbeing

Sano A, Phillips AJ, McHill AW, Taylor S, Barger LK, Czeisler CA, Picard RW. "Influence of Weekly Sleep Regularity on Self-Reported Wellbeing," Sleep2017, June 2017.

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

Structure of Electrodermal Responses during Sleep

Taylor, S., Sano, A., and Picard, R. "Structure of Electrodermal Responses during Sleep," Sleep2017, June 2017.

Publication

Multimodal Ambulatory Sleep Detection Using Recurrent Neural Networks

Chen, W.*, Sano, A.*, Lopez, D., Taylor, S., McHlll, A. W., Phillips, A. J., Barger, L.K., Czeisler, C. A., Picard, R. W. "Multimodal Ambulatory Sleep Detection Using Recurrent Neural Networks," Sleep 2017 (oral), June 2017.

Publication

Predicting the timing of Dim Light Melatonin Onset in Real-world Conditions using a Mathematical Model

Phillips AJ, McHill AM, Chen D, Beckett S, Barger LK, O’Brien CS, Sano A, Taylor S, Lockley SW, Czeisler CA, Klerman E.B. "Predicting the timing of Dim Light Melatonin Onset in Real-world Conditions using a Mathematical Model," Sleep2017, June 2017.

Publication

Multimodal Ambulatory Sleep Detection

Chen, W.*, Sano, A.*, Lopez, D., Taylor, S., McHill, A. W., Phillips, A. J. K., Barger, L. K., Klerman, E. B., and Picard, R. W., "Multimodal Ambulatory Sleep Detection," In Proc. IEEE International Conference on Biomedical and Health Informatics (BHI), Orlando, Florida, pp. 465-468, 2017. (*equal contribution)

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

Characterizing Electrodermal Responses during Sleep in a 30-day Ambulatory Study

Taylor, S. "Characterizing Electrodermal Responses during Sleep in a 30-day Ambulatory Study", MIT Master's Thesis, September 2016.

Publication

Findings from Modeling Peaks in Electrodermal Activity during Sleep as a Point Process

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.

Publication

Kind and grateful: A context-sensitive smartphone app utilizing inspirational content to promote gratitude

Ghandeharioun, A., Azaria, A., Taylor, S., and Picard, R. "Kind and grateful": A context-sensitive smartphone app utilizing inspirational content to promote gratitude," Psychology of well-being, Jul 2016, Vol. 6, Issue 9.

Publication

Influence of Sleep Regularity on Self-Reported Mental Health and Wellbeing

Sano A, Phillips A, Taylor S, McHill A, Hidalgo C, O’Brien C, Buie J, Barger L, Czeisler C, Klerman E, Picard R. "Influence of Sleep Regularity on Self-Reported Mental Health and Wellbeing," Sleep2016, June 2016.

Publication

SNAPSHOT Expose: Stage Based and Social Theory Based Applications to Reduce Stress and Improve Wellbeing

Zisook, M., Taylor S., Sano. A., and Picard R. W., "SNAPSHOT Expose: Stage Based and Social Theory Based Applications to Reduce Stress and Improve Wellbeing," CHI 2016 Computing and Mental Health Workshop. May 2016.

Publication

Associations between mental health and academic performance sleep behaviors trait and daily behaviors in college students

Sano. A., Taylor, S., and Picard, R., "Associations between mental health and academic performance, sleep behaviors, trait and daily behaviors in college students," Anxiety and Depression Conference, April 2016

Publication

Promoting kindness and gratitude with a smartphone and triggers

Ghandeharioun, A., Azaria, A., Taylor, S., Maes, P., and Picard, R. "Promoting kindness and gratitude with a smartphone and triggers," Annals of Behavioral Medicine, March 2016, Volume 50, Supplement 1.

Publication

Active Learning for Electrodermal Activity Classification

Xia, V., Jaques, N., Taylor, S., Fedor, S., and Picard, R. "Active Learning for Electrodermal Activity Classification" In Proc. IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, Pennsylvania, December 2015.

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.

Publication

Automatic Identification of Artifacts in Electrodermal Activity Data

Taylor, S., Jaques, N., Chen, W., Fedor, S., Sano, A., and Picard, R. "Automatic Identification of Artifacts in Electrodermal Activity Data" In Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015.

Publication

Prediction of Happy-Sad Mood from Daily Behaviors and Previous Sleep History

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

Publication

Wavelet-Based Motion Artifact Removal for Electrodermal Activity

Chen, W., Jaques, N., Taylor, S., Sano, A., Fedor, S., and Picard, R. "Wavelet-Based Motion Artifact Removal for Electrodermal Activity" In Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015.

Publication

Automatic identification of artifacts in electrodermal activity data

Taylor S, Jaques N, Chen W, Fedor S, Sano A, Picard R. Automatic identification of artifacts in electrodermal activity data. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:1934-7. doi: 10.1109/EMBC.2015.7318762. PMID: 26736662; PMCID: PMC5413200.

Publication

Recognizing Academic Performance Sleep Quality Stress Level and Mental Health using Personality Traits Wearable Sensors and Mobile Phones

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.

Publication

Forecasting stress, mood, and health from daytime physiology in office workers and students

Umematsu, T., Sano, A., Taylor, S., Tsujikawa, M., and Picard, R. "Forecasting stress, mood, and health from daytime physiology in office workers and students," the 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), p.5953-5957, July 2020.