A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat R Harper, J Southern IEEE Transactions on Affective Computing, 2019 | 86 | 2019 |
Sensory conflict disrupts activity of the Drosophila circadian network REF Harper, P Dayan, JT Albert, R Stanewsky Cell reports 17 (7), 1711-1718, 2016 | 33 | 2016 |
End-to-end prediction of emotion from heartbeat data collected by a consumer fitness tracker R Harper, J Southern 2019 8th international conference on affective computing and intelligent …, 2019 | 16 | 2019 |
Light Dominates Peripheral Circadian Oscillations in Drosophila melanogaster During Sensory Conflict REF Harper, M Ogueta, P Dayan, R Stanewsky, JT Albert Journal of biological rhythms 32 (5), 423-432, 2017 | 13 | 2017 |
Closing the accessibility gap to mental health treatment with a personalized self-referral Chatbot J Habicht, S Viswanathan, B Carrington, TU Hauser, R Harper, ... Nature Medicine, 1-8, 2024 | 8 | 2024 |
Conversational AI facilitates mental health assessments and is associated with improved recovery rates M Rollwage, K Juchems, J Habicht, B Carrington, T Hauser, R Harper medRxiv, 2022.11. 03.22281887, 2022 | 7 | 2022 |
How many clocks, how many times? on the sensory basis and computational challenges of circadian systems J Somers, REF Harper, JT Albert Frontiers in Behavioral Neuroscience 12, 211, 2018 | 6 | 2018 |
Using conversational AI to facilitate mental health assessments and improve clinical efficiency within psychotherapy services: real-world observational study M Rollwage, J Habicht, K Juechems, B Carrington, M Stylianou, ... JMIR AI 2 (1), e44358, 2023 | 4* | 2023 |
'Time flies': multisensory processing by circadian clocks in Drosophila melanogaster REF Harper University of London, University College London (United Kingdom), 2017 | 2 | 2017 |
Closing the accessibility gap to mental health treatment with a conversational AI-enabled self-referral tool J Habicht, S Viswanathan, B Carrington, T Hauser, R Harper, M Rollwage medRxiv, 2023.04. 29.23289204, 2023 | 1 | 2023 |
Promises and Challenges of AI-Enabled Mental Healthcare: A Foundational Study S Viswanathan, M Rollwage, R Harper Empowering Communities: A Participatory Approach to AI for Mental Health, 2022 | 1 | 2022 |
Mental state determination method and system J Southern, R Harper, S De Vries US Patent App. 17/426,208, 2022 | 1 | 2022 |
Emotion data training method and system REF Harper, S De Vries US Patent App. 16/982,997, 2021 | 1 | 2021 |
Generative AI-Enabled Therapy Support Tool Improves Clinical Outcomes and Patient Engagement in NHS Talking Therapies J Habicht, LM Dina, M Stylianou, R Harper, TU Hauser, M Rollwage OSF, 2024 | | 2024 |
Correction: Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study M Rollwage, J Habicht, K Juechems, B Carrington, S Viswanathan, ... JMIR AI 3, 2024 | | 2024 |
Cognitive Distortion Detection Method and System M Rollwage, REF Harper US Patent App. 18/117,019, 2023 | | 2023 |
Dynamic user response data collection method R Harper, S De Vries, J Southern US Patent App. 17/791,520, 2023 | | 2023 |
Gaussian Process Regression Under a Granger Causality Framework as a Means of Identifying Novel Circadian Zeitgebers REF Harper, G Clifford | | |