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Basal Forebrain Degeneration and Cortisol as Biomarkers Mediating Alzheimer’s Disease Pathology: A Machine Learning Approach
(Georgia Institute of Technology, 2020-05)
The impact of Alzheimer’s Disease (AD) on today’s society and healthcare is unprecedented. As a larger portion of today’s population enters an age for which AD becomes a health concern, there is growing support among health ...
A Dynamic Approach to Statistical Debugging: Building Program Specific Models with Neural Networks
(Georgia Institute of Technology, 2007-05)
Computer software is constantly increasing in complexity; this requires more developer time, effort, and knowledge in order to correct bugs inevitably occurring in software production. Eventually, increases in complexity ...
Multi-task learning for neural image classification and segmentation using a 3D/2D contextual U-Net model
(Georgia Institute of Technology, 2020-05)
We present a 3D/2D Contextual U-Net model and apply it to segment and classify samples from a heterogeneous mouse brain dataset obtained via X-ray microtomography, which spans 4 distinct brain areas: Striatum, Ventral ...
A Review of Human Robot Proxemics
(Georgia Institute of Technology, 2019-05)
Robots are increasingly becoming ubiquitous, but are currently limited in their social capabilities. For robots to become ubiquitous in social environments they need to have an understanding of proxemics. Proxemics is a ...
MACHINE LEARNING MODELING OF COVID-19 AND CORONARY HEART DISEASE FOR PUBLIC HEALTH MONITORING AND CLINICAL DECISION SUPPORT
(Georgia Institute of Technology, 2022-05)
Prediction of healthcare trends to improve public health and clinical decision making is a challenge affecting all lives and requires state-of-art mathematical modeling to solve. The use of artificial intelligence (AI) in ...
Snow Coverage Prediction using Machine Learning Techniques
(Georgia Institute of Technology, 2020-05)
Snow coverage is often predicted through analysis of satellite images. Two of the most common satellites used for predictions are MODIS and Landsat. Unfortunately, snow coverage predictions are limited either by MODIS ...
CopyCat: Leveraging American Sign Language Recognition in Educational Games for Deaf Children
(Georgia Institute of Technology, 2022-05)
Deaf children born to hearing parents lack continuous access to language, leading to weaker working memory compared to hearing children and deaf children born to deaf parents. CopyCat is a game where children communicate ...
Pipeline for Assisting Diagnosis of Children with Autism Spectrum Disorder via Automated Method for Classifying Repetitive Behaviors
(Georgia Institute of Technology, 2022-05)
We present automated methods to collect and provide motion data via sensors that can be used to assist the clinical decision-making process when diagnosing autism spectrum disorder (ASD) in children. The current limitation ...
Gaussian Mixture Belief Space Reinforcement Learning
(Georgia Institute of Technology, 2018-12)
In reinforcement learning and optimal control, one successful approach to address system stochasticity and epistemic uncertainty in the dynamics model is to consider, rather than a single state, a distribution over the ...
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
(Georgia Institute of Technology, 2019-05)
The growing capability and accessibility of machine learning has led to its application to many real-world domains and data about people. Despite the benefits algorithmic systems may bring, models can reflect, inject, or ...