278 citations · 447 across the 23 of their papers we have counts for
6 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,…
Unsupervised Domain Adaptation with Copula Models
Cuong D. Tran, Ognjen Rudovic, Vladimir Pavlovic
We study the task of unsupervised domain adaptation, where no labeled data from the target domain is provided during training time. To deal with the potential discrepancy between t…
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…
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding
Dieu Linh Tran, Robert Walecki, Ognjen Rudovic +3
Human face exhibits an inherent hierarchy in its representations (i.e., holistic facial expressions can be encoded via a set of facial action units (AUs) and their intensity). Vari…