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Neuro-general computing an acceleration-approximation approach
(Georgia Institute of Technology, 2018-07-30)
A growing number of commercial and enterprise systems rely on compute and power intensive tasks. While the demand of these tasks is growing, the performance benefits from general-purpose platforms are diminishing. Without ...
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 ...
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 ...
On Formula Embeddings in Neural-Guided SAT Solving
(Georgia Institute of Technology, 2019-12)
Branching heuristics determine the performance of search-based SAT solvers. We note that recently, Neural Machine Learning approaches have been proposed to learn such heuristics from data. The first step in learning a ...