Sara Taylor

Orcid: 0000-0003-4133-9230

According to our database1, Sara Taylor authored at least 15 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health.
IEEE Trans. Affect. Comput., 2020

Forecasting stress, mood, and health from daytime physiology in office workers and students.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks.
IEEE J. Biomed. Health Informatics, 2019

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform.
Sensors, 2018

Vomit Comet Physiology: Autonomic Changes in Novice Flyers.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
QuantifyMe: An Automated Single-Case Experimental Design Platform.
Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation.
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017

Multimodal ambulatory sleep detection.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2015
Automatic identification of artifacts in electrodermal activity data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Prediction of Happy-Sad mood from daily behaviors and previous sleep history.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Wavelet-based motion artifact removal for electrodermal activity.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

Predicting students' happiness from physiology, phone, mobility, and behavioral data.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015


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