278 citations · 899 across the 26 of their papers we have counts for
5 papers · 1 filter
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression
Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero +1
In this paper, we introduce the use of a personalized Gaussian Process model (pGP) to predict the key metrics of Alzheimer's Disease progression (MMSE, ADAS-Cog13, CDRSB and CS) ba…
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning
Daniel Lopez-Martinez, Ognjen Rudovic, Rosalind Picard
Pain is a subjective experience commonly measured through patient's self report. While there exist numerous situations in which automatic pain estimation methods may be preferred,…
Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals
Daniel Lopez-Martinez, Rosalind Picard
Pain is a complex and subjective experience that poses a number of measurement challenges. While self-report by the patient is viewed as the gold standard of pain assessment, this…
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
Dianbo Liu, Fengjiao Peng, Andrew Shea +3
Previous research on automatic pain estimation from facial expressions has focused primarily on "one-size-fits-all" metrics (such as PSPI). In this work, we focus on directly estim…
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions
Daniel Lopez Martinez, Ognjen Rudovic, Rosalind Picard
Pain is a personal, subjective experience that is commonly evaluated through visual analog scales (VAS). While this is often convenient and useful, automatic pain detection systems…