Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
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"
Skin conductance deconvolution for pain estimation
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
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning
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.
Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals
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
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions
Lopez-Martinez, D., Rudovic, O., and Picard, R. "Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions," Computer Vision and Pattern Recognition (CVPR) Workshop on Deep Affective Learning and Context Modeling, Honolulu, Hawaii, July 2017.
Personalized automatic estimation of self-reported pain intensity from facial expressions
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.