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Gregory Worrell

2 accepted papers

2021

Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease

NeurIPS 2021poster

We model Alzheimer’s disease (AD) progression by combining differential equations (DEs) and reinforcement learning (RL) with domain knowledge. DEs provide relationships between some, but not all, factors relevant to AD. We assume that the missing relationships must satisfy general criteria about th…

Cited by 18SourcePDFScholar
2017

EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms

NeurIPS 2017poster

This paper presents a probabilistic-graphical model that can be used to infer characteristics of instantaneous brain activity by jointly analyzing spatial and temporal dependencies observed in electroencephalograms (EEG). Specifically, we describe a factor-graph-based model with customized factor-fu…

Cited by 29SourcePDFScholar