Sara Fagen

Sara Taylor Fagen (born September 15, 1974) is a technology and data entrepreneur, and former staff member in the administration of President George W. Bush. Provided by Wikipedia
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  1. 1
    Characterizing electrodermal responses during sleep in a 30-day ambulatory study

    Characterizing electrodermal responses during sleep in a 30-day ambulatory study by Taylor, Sara Ann

    Published 2017
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    Thesis
  2. 2
    “Kind and Grateful”: A Context-Sensitive Smartphone App Utilizing Inspirational Content to Promote Gratitude

    “Kind and Grateful”: A Context-Sensitive Smartphone App Utilizing Inspirational Content to Promote Gratitude by Ghandeharioun, Asma, Taylor, Sara, Picard, Rosalind W., Azaria, Asaph Mordehai Assaf, Taylor, Sara Ann

    Published 2016
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  3. 3
    Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction

    Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction by Jaques, Natasha, Taylor, Sara, Sano, Akane, Picard, Rosalind

    Published 2021
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    Article
  4. 4
    Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations

    Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations by Slavich, George M., Taylor, Sara Ann, Picard, Rosalind W.

    Published 2020
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    Article
  5. 5
    Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

    Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks by Umematsu, Terumi, Sano, Akane, Taylor, Sara, Picard, Rosalind W

    Published 2021
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    Article
  6. 6
    Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

    Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health by Taylor, Sara, Jaques, Natasha, Nosakhare, Ehimwenma, Sano, Akane, Picard, Rosalind

    Published 2021
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    Article
  7. 7
    Forecasting stress, mood, and health from daytime physiology in office workers and students

    Forecasting stress, mood, and health from daytime physiology in office workers and students by Umematsu, T, Sano, Akane, Taylor, Sara Ann, Tsujikawa, M, Picard, Rosalind W.

    Published 2021
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    Article
  8. 8
    QuantifyMe: An Automated Single-Case Experimental Design Platform

    QuantifyMe: An Automated Single-Case Experimental Design Platform by Sano, Akane, Taylor, Sara, Ferguson, Craig, Mohan, Akshay, Picard, Rosalind W.

    Published 2021
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    Book
  9. 9
    Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction

    Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction by Jaques, Natasha Mary, Taylor, Sara Ann, Sano, Akane, Picard, Rosalind W.

    Published 2022
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    Article
  10. 10
    Common statistical and research design problems in manuscripts submitted to high-impact medical journals

    Common statistical and research design problems in manuscripts submitted to high-impact medical journals by Harris Alex HS, Reeder Rachelle N, Hyun Jenny K, Fernandes-Taylor Sara

    Published 2011-08-01
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    Article
  11. 11
    QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform

    QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform by Taylor, Sara Ann, Sano, Akane, Ferguson, Craig, Mohan, Akshay, Picard, Rosalind W.

    Published 2018
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    Article
  12. 12
    QuantifyMe: An Automated Single-Case Experimental Design Platform

    QuantifyMe: An Automated Single-Case Experimental Design Platform by Sano, Akane, Taylor, Sara Ann, Ferguson, Craig, Mohan, Akshay, Picard, Rosalind W.

    Published 2021
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    Book
  13. 13
    Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

    Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health by Taylor, Sara Ann, Jaques, Natasha Mary, Nosakhare, Ehimwenma, Sano, Akane, Picard, Rosalind W.

    Published 2022
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    Article
  14. 14
    Active learning for electrodermal activity classification

    Active learning for electrodermal activity classification by Xia, Victoria F., Jaques, Natasha Mary, Taylor, Sara Ann, Fedor, Szymon, Picard, Rosalind W.

    Published 2017
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    Article
  15. 15
    Automatic identification of artifacts in electrodermal activity data

    Automatic identification of artifacts in electrodermal activity data by Taylor, Sara Ann, Jaques, Natasha Mary, Chen, Weixuan, Fedor, Szymon, Sano, Akane, Picard, Rosalind W.

    Published 2016
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  16. 16
    Wavelet-based motion artifact removal for electrodermal activity

    Wavelet-based motion artifact removal for electrodermal activity by Chen, Weixuan, Jaques, Natasha Mary, Taylor, Sara Ann, Sano, Akane, Fedor, Szymon, Picard, Rosalind W.

    Published 2017
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  17. 17
    Vomit Comet Physiology: Autonomic Changes in Novice Flyers

    Vomit Comet Physiology: Autonomic Changes in Novice Flyers by Johnson, Kristina T., Taylor, Sara Ann, Fedor, Szymon, Jaques, Natasha Mary, Chen, Weixuan, Picard, Rosalind W.

    Published 2020
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    Article
  18. 18
    Predicting students' happiness from physiology, phone, mobility, and behavioral data

    Predicting students' happiness from physiology, phone, mobility, and behavioral data by Jaques, Natasha Mary, Taylor, Sara Ann, Azaria, Asaph Mordehai Assaf, Ghandeharioun, Asma, Sano, Akane, Picard, Rosalind W.

    Published 2017
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  19. 19
    Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study

    Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study by Sano, Akane, Taylor, Sara, McHill, Andrew W, Phillips, Andrew JK, Barger, Laura K, Klerman, Elizabeth, Picard, Rosalind W.

    Published 2021
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    Article
  20. 20
    Prediction of Happy-Sad mood from daily behaviors and previous sleep history

    Prediction of Happy-Sad mood from daily behaviors and previous sleep history by Sano, Akane, Yu, Amy Z., McHill, Andrew W., Phillips, Andrew J. K., Taylor, Sara Ann, Jaques, Natasha Mary, Klerman, Elizabeth B., Picard, Rosalind W.

    Published 2016
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