Picard, Rosalind W.

Efficacy of a web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: Randomized controlled trial

Morris, R. R., Schueller, S. M., & Picard, R. W. (2015) · Journal of Medical Internet Research

Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 206

Deep learning-aided decision support for diagnosis of skin disease across skin tones

Groh, M., Badri, O., Daneshjou, R., Koochek, A., Harris, C., Soenksen, L. R., Doraiswamy, P. M., & Picard, R. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationCutaneous Melanoma Detection and Management

Cited by 160

Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors

Pedrelli, P., Fedor, S., Ghandeharioun, A., Howe, E., Ionescu, D. F., Bhathena, D., Fisher, L. B., Cusin, C., Nyer, M., Yeung, A., et al. (2020) · Frontiers in Psychiatry

Digital Mental Health InterventionsMental Health Research Topics

Cited by 158

Quantitative analysis of wrist electrodermal activity during sleep

Sano, A., Picard, R. W., & Stickgold, R. (2014) · International Journal of Psychophysiology

Heart Rate Variability and Autonomic ControlSleep and related disorders

Cited by 141

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Jaques, N., Ghandeharioun, A., Shen, J. H., Ferguson, C., Lapedriza, A., Jones, N., Gu, S., & Picard, R. (2019) · arXiv

Reinforcement Learning in RoboticsSpeech and dialogue systems

Cited by 126

Objective assessment of depressive symptoms with machine learning and wearable sensors data

Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., & Picard, R. (2017) · 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 116

COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera

McDuff, D. J., Hernandez, J., Gontarek, S., & Picard, R. W. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 113

Helping Others Regulate Emotion Predicts Increased Regulation of One’s Own Emotions and Decreased Symptoms of Depression

Doré, B. P., Morris, R. R., Burr, D. A., Picard, R. W., & Ochsner, K. N. (2017) · Personality and Social Psychology Bulletin

Psychological Well-being and Life SatisfactionAttachment and Relationship Dynamics

Cited by 111

Predictive automatic relevance determination by expectation propagation

Qi, Y. (., Minka, T. P., Picard, R. W., & Ghahramani, Z. (2004) · Twenty-first international conference on Machine learning - ICML '04

Gaussian Processes and Bayesian InferenceStatistical Methods and Inference

Cited by 110

Human detection of political speech deepfakes across transcripts, audio, and video

Groh, M., Sankaranarayanan, A., Singh, N., Kim, D. Y., Lippman, A., & Picard, R. (2024) · Nature Communications

Misinformation and Its ImpactsDigital Media Forensic Detection

Cited by 89

AutoEmotive: bringing empathy to the driving experience to manage stress

Hernandez, J., McDuff, D., Benavides, X., Amores, J., Maes, P., & Picard, R. (2014) · Proceedings of the 2014 companion publication on Designing interactive systems

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 79

Automatic measurement of ad preferences from facial responses gathered over the Internet

McDuff, D., El Kaliouby, R., Senechal, T., Demirdjian, D., & Picard, R. (2014) · Image and Vision Computing

Emotion and Mood RecognitionFace recognition and analysis

Cited by 52

Mixed-Initiative Real-Time Topic Modeling & Visualization for Crisis Counseling

Dinakar, K., Chen, J., Lieberman, H., Picard, R., & Filbin, R. (2015) · Proceedings of the 20th International Conference on Intelligent User Interfaces

Data Visualization and AnalyticsComputational and Text Analysis Methods

Cited by 42

Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data

Sano, A., & Picard, R. W. (2014) · 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Context-Aware Activity Recognition SystemsEEG and Brain-Computer Interfaces

Cited by 25

Recognition of sleep dependent memory consolidation with multi-modal sensor data

Sano, A., & Picard, R. W. (2013) · 2013 IEEE International Conference on Body Sensor Networks

Sleep and Wakefulness ResearchEEG and Brain-Computer Interfaces

Cited by 12

Response to Commentaries on “Multiple Arousal Theory and Daily-Life Electrodermal Activity Asymmetry”

Picard, R. W., Fedor, S., & Ayzenberg, Y. (2016) · Emotion Review

Hemispheric Asymmetry in NeuroscienceHeart Rate Variability and Autonomic Control

Cited by 12