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Akane Sano

Showing results (21-30 of 83) with videos related to

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IEEE Transactions on Affective Computing|June 4, 2020
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and HealthSara Taylor, Natasha Jaques, Ehimwenma Nosakhare, et al.
JMIR Mhealth and Uhealth|April 11, 2022
Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster AnalysisJoanne Zhou, Bishal Lamichhane, Dror Ben-Zeev, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Forecasting stress, mood, and health from daytime physiology in office workers and studentsTerumi Umematsu, Akane Sano, Sara Taylor, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 13, 2011
Contextual learning requires synaptic AMPA receptor delivery in the hippocampusDai Mitsushima, Kouji Ishihara, Akane Sano, et al.
Sensors (Basel, Switzerland)|April 6, 2018
QuantifyMe: An Open-Source Automated Single-Case Experimental Design PlatformSara Taylor, Akane Sano, Craig Ferguson, et al.
Neuroendocrinology|November 2, 2002
Role of gamma-aminobutyric acid neurons in the release of gonadotropin-releasing hormone in cultured rat embryonic olfactory placodesToshiya Funabashi, Shigeo Daikoku, Kumiko Suyama, et al.
The European Journal of Neuroscience|March 21, 2013
Social isolation perturbs experience-driven synaptic glutamate receptor subunit 4 delivery in the developing rat barrel cortexTomoyuki Miyazaki, Misako Kunii, Susumu Jitsuki, et al.
International Conference on Affective Computing and Intelligent Interaction and Workshops : [Proceedings]. ACII (Conference)|May 19, 2017
Predicting students' happiness from physiology, phone, mobility, and behavioral dataNatasha Jaques, Sara Taylor, Asaph Azaria, et al.
JMIR Mhealth and Uhealth|February 7, 2024
Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing StudyZachary D King, Han Yu, Thomas Vaessen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Automatic identification of artifacts in electrodermal activity dataSara Taylor, Natasha Jaques, Weixuan Chen, et al.
Pageof 9

Showing results (21-30 of 83) with videos related to

Sort By:
Pageof 9
IEEE Transactions on Affective Computing|June 4, 2020
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and HealthSara Taylor, Natasha Jaques, Ehimwenma Nosakhare, et al.
JMIR Mhealth and Uhealth|April 11, 2022
Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster AnalysisJoanne Zhou, Bishal Lamichhane, Dror Ben-Zeev, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Forecasting stress, mood, and health from daytime physiology in office workers and studentsTerumi Umematsu, Akane Sano, Sara Taylor, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 13, 2011
Contextual learning requires synaptic AMPA receptor delivery in the hippocampusDai Mitsushima, Kouji Ishihara, Akane Sano, et al.
Sensors (Basel, Switzerland)|April 6, 2018
QuantifyMe: An Open-Source Automated Single-Case Experimental Design PlatformSara Taylor, Akane Sano, Craig Ferguson, et al.
Neuroendocrinology|November 2, 2002
Role of gamma-aminobutyric acid neurons in the release of gonadotropin-releasing hormone in cultured rat embryonic olfactory placodesToshiya Funabashi, Shigeo Daikoku, Kumiko Suyama, et al.
The European Journal of Neuroscience|March 21, 2013
Social isolation perturbs experience-driven synaptic glutamate receptor subunit 4 delivery in the developing rat barrel cortexTomoyuki Miyazaki, Misako Kunii, Susumu Jitsuki, et al.
International Conference on Affective Computing and Intelligent Interaction and Workshops : [Proceedings]. ACII (Conference)|May 19, 2017
Predicting students' happiness from physiology, phone, mobility, and behavioral dataNatasha Jaques, Sara Taylor, Asaph Azaria, et al.
JMIR Mhealth and Uhealth|February 7, 2024
Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing StudyZachary D King, Han Yu, Thomas Vaessen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Automatic identification of artifacts in electrodermal activity dataSara Taylor, Natasha Jaques, Weixuan Chen, et al.
Pageof 9