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20132024
most citedPersonalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

278 citations · 447 across the 23 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach

Behnam Gholami, Pritish Sahu, Ognjen Rudovic +2

Unsupervised domain adaptation (uDA) models focus on pairwise adaptation settings where there is a single, labeled, source and a single target domain. However, in many real-world s…

cs.RO2018★ 44 cited

RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction

Eduardo Castelló Ferrer, Ognjen Rudovic, Thomas Hardjono +1

Robots have potential to revolutionize the way we interact with the world around us. One of their largest potentials is in the domain of mobile health where they can be used to fac…

cs.CV2018★ 24 cited

Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis

Adria Ruiz, Ognjen Rudovic, Xavier Binefa +1

We propose a Multi-Instance-Learning (MIL) approach for weakly-supervised learning problems, where a training set is formed by bags (sets of feature vectors or instances) and only…

cs.LG2018

Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)

Yuria Utsumi, Ognjen Rudovic, Kelly Peterson +2

In this paper, we introduce the use of a personalized Gaussian Process model (pGP) to predict per-patient changes in ADAS-Cog13 -- a significant predictor of Alzheimer's Disease (A…

cs.RO2018★ 278 cited

Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

Ognjen Rudovic, Jaeryoung Lee, Miles Dai +2

Robots have great potential to facilitate future therapies for children on the autism spectrum. However, existing robots lack the ability to automatically perceive and respond to h…