Lopez-Martinez, Daniel, Neska Elhaouij, and Rosalind Picard. "Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning." In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 356-361. IEEE, 2019.
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.
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.
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.
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.
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
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.
Lopez-Martinez, D., and Picard, R. "Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals," International Conference on Affective Computing and Intelligent Interaction (ACII) Workshop on Tools and Algorithms for Mental Health and Wellbeing, Pain, and Distress (MHWPD), San Antonio, Texas, October 2017
Daniel Lopez-Martinez, Ognjen Rudovic and Rosalind W. Picard. “Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions.” 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2017): 2318-2327.
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.
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)
Lopez Martinez D. and Picard R. "Wearable Technologies for Multiple Sclerosis: The Future Role of Wearable Stress Measurement in Improving Quality of Life," In the proceedings of the Second International Conference on Smart Portable, Wearable, Implantable and Disability-Oriented Devices and Systems (SPWID'16), May 2016, Valencia, Spain.
Clifford G, Lopez-Martinez D, Li Q, Rezek I. Signal quality indices and data fusion for determining acceptability of electrocardiograms collected in noisy ambulatory environments, in Computing in Cardiology. Hangzhou, China ; 2011 : 285 - 288.