Narain, J.*, Johnson, K.T.*, O’Brien, A., Wofford, P., Maes, P., Picard, R.W. "Nonverbal Vocalizations as Speech: Characterizing Natural-Environment Audio from Nonverbal Individuals with Autism," Proceedings of the Workshop on Laughter and Other Nonverbal Vocalisations, Bielefeld, Germany, October 2020. (*Co-first authors/Equal contribution)
Johnson, K.T.* & Narain, J.*, Maes, P., Picard, R.W., "Augmenting Natural Communication in Nonverbal Individuals with Autism," International Society for Autism Research (INSAR), Seattle, Washington, May 2020. (*Co-first authors/equal contribution)
Narain, J.*, Quach, T.*, Davey, M.*, Park, H., Braezeal, C., and Picard, R. "Promoting Wellbeing with Sunny, a Chatbot that Facilitates Positive Messages within Social Groups". Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Accepted. *Equal Contribution.
Nosakhare, E., and Picard. R. 2019. Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being. ACM Trans. Comput. Healthcare 1, 1, Article 4 (December 2019), 29 pages.
Zhang Y, Weninger F, Schuller B, Picard R "Holistic Affect Recognition using PaNDA: Paralinguistic Non-metric Dimensional Analysis." IEEE Transactions on Affective Computing, December 2019.
Narain, J.*, Johnson, K.T.*, Picard, R.W., Maes, P. "Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data," NeurIPS Workshop on AI for Social Good, December 2019. (*Co-first authors/Equal contribution)
Johnson, K.T.*, Narain, J.*, Ferguson, C., Picard, R.W., and Maes, P. The ECHOS Platform to Enhance Communication for Nonverbal Children with Autism: A Case Study. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Case Studies Track of CHI 2020). (*Co-first authors/Equal contribution)
Narain, J.*, Johnson, K.T.*, Picard, R.W., and Maes, P. “Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data”. NeurIPS 2019 Joint Workshop on AI for Social Good. (*Co-first authors/Equal contribution)
Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks.", 2019 IEICE Society Conference, Japan, September 2019.
Jones, N., Jaques, N., Pataranutaporn, P., Ghandeharioun, A., & Picard, R. (2019, September). Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-5). IEEE.
Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.
Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738
Belen Saldias F. and Rosalind W. Picard. (2019). Tweet Moodifier: Towards giving emotional awareness to Twitter users. In Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII 2019). Cambridge, UK.
Rudovic, O., Utsumi, Y., Guerrero, R., Peterson, K., Rueckert, D., Picard, R. W. "Meta-weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes" Machine Learning for Healthcare Conference (ML4HC2019), August 2019.
Umematsu, T., Sano, A., and Picard, R. "Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness," the 41st International Engineering in Medicine and Biology Conference (EMBC), p.2186-2190, Berlin, July 2019.
Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)
Lopez-Martinez D, Eschenfeldt P, Ostvar S, Ingram M, Hur C, Picard R. Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks, in Engineering in Medicine and Biology (EMBC). Berlin, Germany ; 2019.
Rudovic, O., Park, H-W., Busche, J., Schuller, B. , Breazeal, C., Picard, R. W., " Personalized Estimation of Engagement from Videos Using Active Learning with Deep Reinforcement Learning," IEEE CVPR -AMFG W, June 2019.
Slavich G.M., Taylor S., Picard R.W. "Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations," Stress, 2019.
Taylor S., Ferguson C., Peng F., Schoeneich M., Picard R.W. "Use of In-Game Rewards to Motivate Daily Self-Report Compliance: Randomized Controlled Trial," Journal of Medical Internet Research, 21(1), e11683, 2019.
Hernandez J., McDuff D., Quigley K., Maes P., and Picard R., "Wearable Motion-based Heart-rate at Rest: A Workplace Evaluation," Journal of Biomedical and Health Informatics, 2018.
Rudovic, O., Utsumi, Y., Lee, J., Hernandez, J., Castello Ferrer, E., Schuller, B., Picard, R. "CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018).
Exposito, M., Hernandez, J., Picard, R., "Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users" In Proceedings of Mobile Human Computer Interaction, Barcelona, Spain, September, 2018
Lopez-Martinez D, Peng K, Steele S, Lee A, Borsook D, Picard R. "Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals." International Conference on Pattern Recognition (ICPR), Beijing, China, August 2018. "BEST STUDENT PAPER AWARD"
Sano A, Chen W, Lopez-Martinez D, Taylor S, Picard R. Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. Journal of Biomedical and Health Informatics. 2018.
Su, D., Picard, R., Liu, Y. "AMAI: Adaptive Music for Affect Improvement." Proceedings of the 44th International Computer Music Conference (ICMC), Daegu, Korea, August 2018.
Johnson, K.T., Taylor, S., Fedor, S., Jaques, N., Chen, W., Picard, R.W. "Vomit Comet Physiology: Autonomic Changes in Novice Flyers." Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018.
Lopez-Martinez D, Picard R. Continuous pain intensity estimation from autonomic signals with recurrent neural networks, in IEEE Engineering in Medicine and Biology Society (EMBC). Hawaii ; 2018.
Sano,A., Taylor,S., Jaques,N., Chen,W., Lopez-Martinez,D., Nosakhare,E., Rudovic,O., Umematsu,T., and Picard,R., "Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone," The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2018.
Vujic, A., Tong, S., Picard, R., Maes, P. (2018) Towards Gut-Brain Computer Interfacing: Gastric Myoelectric Activity as an Index of Subcortical Phenomena. In 3rd International Mobile Brain/Body Imaging Conference, 135-136.
Feffer, M., Rudovic, O., Picard, R. "A Mixture of Personalized Experts for Human Affect Estimation." The 14th International Conference on Machine Learning and Data Mining (MLDM). July 2018.
Rudovic, O., Lee, J., Dai, M., Schuller, B. , Picard, R. W., " Personalized machine learning for robot perception of affect and engagement in autism therapy," Science Robotics, June 2018.
Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Stress Forecasting using LSTM Neural Networks." The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018.
Saunders Wilder, O., Sullivan, J., Johnson, K.T., Palumbo, R.V., Cumpanasiou, C., Picard, R.W., Goodwin, M.S. "Dyadic Physiological Interdependence and Social Reciprocity in ASD," International Society for Autism Research (INSAR), Rotterdam, Netherlands, May 2018.
Sano, A., Taylor, S., McHill, A. W., Phillips, A. J. K., Barger, L. K., Klerman, E., and Picard, R., "Identifying objective physiological markers and modifiable behaviors for self-reported stress and mental health status using wearable sensors and Mobile Phones: Observational Study," Journal of Medical Internet Research, 2018;20(6):e210
Utsumi, Y., Rudovic, O., Peterson, K., Guerrero, R., Picard, R. "Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)." The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). May 2018.
Peng F., LaBelle V., Yue E., and Picard R.. "A Trip to the Moon: Personalized Animated Movies for Self-reflection." Proceedings of Conference on Human Factors in Computing Systems. ACM, 2018.
Kleiman, E. M., Turner, B. J., Fedor, S., Beale, E. E., Picard, R. W., Huffman, J. C., & Nock, M. K. "Digital phenotyping of suicidal thoughts." Depression and anxiety, April 2018
Taylor, S.*, Sano, A.*, Ferguson, C., Mohan, A., Picard, R. "QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform," Sensors, April 2018. (*equal contribution)
Jaques, N., Engel, J., Ha, D., Bertsch, F., Picard, R., and Eck, D. "Learning via social awareness: improving sketch representations with facial feedback." International Conference on Learning Representations (ICLR) Workshop, Vancouver, Canada, April 2018.
Lopez-Martinez, D., and Picard, R. "Skin conductance deconvolution for pain estimation". International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, March 2018
Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally.
Peterson, K., Rudovic, O., Guerrero, R., Picard, R. "Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression." ML4H: Machine Learning for Health. NIPS'W (2017)
Lopez-Martinez, D., Rudovic, O., Picard, R. "Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning," NIPS Workshop on Machine Learning for Healthcare, Long Beach, CA, December 2017.
Sano, A.*, Taylor, S.*, Ferguson, C., Mohan A., Picard, R. "QuantifyMe: An Automated Single-Case Experimental Design Platform," In Proc. International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Vienna, Austria, November 2017. (*equal contribution)
Howe, E., Ghandeharioun, A., Pedrelli, P., Mischoulon, D., Picard, R., Fedor, S. "Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study," Association for Behavioral and Cognitive Therapies Annual Convention – Tech SIG, San Diego, CA, November 2017.
Jaques, N., Taylor, S., Sano, A., and Picard, R. International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017
Pedrelli, P., Howe, E., Mischoulon, D., Picard, R., Ghandeharioun, A., Fedor, S."Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use," Connected Health Conference, Boston, MA, October 2017.
Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., Picard, R. "Objective assessment of depressive symptoms with machine learning and wearable sensors data," International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017.
Francesco Onorati, Giulia Regalia, Chiara Caborni, Matteo Migliorini, Daniel Bender, Ming-Zher Poh, Cherise Frazier, Eliana Kovitch Thropp, Elizabeth D. Mynatt, Jonathan Bidwell, Roberto Mai, W. Curt LaFrance Jr, Andrew S. Blum, Daniel Friedman, Tobias Loddenkemper, Fatemeh Mohammadpour-Touserkani, Claus Reinsberger, Simone Tognetti, Rosalind W. Picard. DOI: 10.1111/epi.13899
Hernandez J., Ferguson C., Sano A., Chen W., Weihui L., Yeung A. and Picard R. "Stress Measurement from Tongue Color Imaging," International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017.
Jaques, N., Rudovic, O., Taylor, S., Sano, A., and Picard, R. Proceedings of Machine Learning Research, 48, 17-33. August 2017.
Rudovic, O., Lee, J., Mascarell-Maricic, L., Schuller, B., Picard, R. "Measuring Engagement in Robot-assisted Autism Therapy: A Cross-cultural Study," Frontiers in Robotics and AI, July 2017.
Phillips AJ, Clerx WM, Sano A, Barger LK, Picard RW, Lockley WE, Klerman EB, Czeisler CA, "Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing," Scientific Reports 7, Article number: 3216 (2017).
Chen, W.*, Sano, A.*, Lopez, D., Taylor, S., McHlll, A. W., Phillips, A. J., Barger, L.K., Czeisler, C. A., Picard, R. W. "Multimodal Ambulatory Sleep Detection Using Recurrent Neural Networks," Sleep 2017 (oral), June 2017.
Taylor, S., Jaques, N., Nosakhare, E., Sano, A., Klerman, E., and Picard, R. "Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students," Sleep2017, June 2017.
Taylor, S., Sano, A., and Picard, R. "Structure of Electrodermal Responses during Sleep," Sleep2017, June 2017.
Sano A, Phillips AJ, McHill AW, Taylor S, Barger LK, Czeisler CA, Picard RW. "Influence of Weekly Sleep Regularity on Self-Reported Wellbeing," Sleep2017, June 2017.
Ghandeharioun, A., Fedor, S., Sangermano, L., Alpert, J., Dale, C., Ionescu, D., Picard, R. "Location Variability from Commodity Phone Sensors Is Negatively Associated with Self-Reported Depression Score: A Pilot Study," Association for Psychological Science (APS) annual convention, Boston, May 2017.
Ghandeharioun, A., Picard, R."BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus," Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, Denver, May 2017.
Ghandeharioun, A., Sangermano, L., Picard, R., Alpert, J., Dale, C., Ionescu, D., Fedor, S. "Objective vs. Subjective Reports of Sleep Quality in Major Depressive Disorder: A Pilot Study," Anxiety and Depression Conference (ADAA), San Fransisco, April 2017.
Sangermano, L., Ghandeharioun, A., Picard, R., Alpert, J., Dale, C., Fedor, S., Ionescu, D. "Incoming Cell Phone Data as a Potential Predictor of Depression Severity: A Pilot Study," Anxiety and Depression Conference (ADAA), San Fransisco, April 2017.
Chen, W.*, Sano, A.*, Lopez, D., Taylor, S., McHill, A. W., Phillips, A. J. K., Barger, L. K., Klerman, E. B., and Picard, R. W., "Multimodal Ambulatory Sleep Detection," In Proc. IEEE International Conference on Biomedical and Health Informatics (BHI), Orlando, Florida, pp. 465-468, 2017. (*equal contribution)
Jaques, N., Taylor, S., Nosakhare, E., Sano, A., Picard, R. In Proc. NIPS Workshop on ML in Health, Barcelona, Spain, December 2016.
Jaques, N., Kim, Y. L., and Picard, R. W. "Personality, Attitudes, and Bonding in Conversations," In Proceedings of Intelligent Virtual Agents, California, USA, September 2016.
Taylor, S., Sano, A., and Picard, R. W. "Findings from Modeling Peaks in Electrodermal Activity during Sleep as a Point Process" 56th Annual Meeting of the Society for Psychophysiological Research, Minnesota, USA, September 2016.
Hernandez, J., McDuff, D., Infante, C., Maes, P., Quigley, K., and Picard, R. W. "Wearable ESM: Comparing the Wearable Experience Sampling Method across Wearable Devices," In Proceedings of Mobile Human Computer Interaction, Florence, Italy, September 2016.
Natasha Jaques, Travis Rich, Karthik Dinakar, Niaja Farve, Weixuan 'Vincent' Chen, Pattie Maes, Rosalind W. Picard, Kevin Slavin