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05/31/2021
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Explaining deep learning model inferences is a promising venue for scien...
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01/12/2021
Personalized Federated Deep Learning for Pain Estimation From Face Images
Standard machine learning approaches require centralizing the users' dat...
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07/27/2020
openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion
A common problem in machine learning is to deal with datasets with disjo...
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09/20/2019
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias
Supporting model interpretability for complex phenomena where annotators...
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07/26/2019
Tweet Moodifier: Towards giving emotional awareness to Twitter users
Emotional contagion in online social networks has been of great interest...
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07/20/2019
Engineering Music to Slow Breathing and Invite Relaxed Physiology
We engineered an interactive music system that influences a user's breat...
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06/07/2019
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach
Human behavior expression and experience are inherently multi-modal, and...
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04/19/2019
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes
We introduce a novel personalized Gaussian Process Experts (pGPE) model ...
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05/24/2018
Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck
Objective: Non-contact physiological measurement is a growing research a...
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02/22/2018
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)
In this paper, we introduce the use of a personalized Gaussian Process m...
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12/01/2017