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Efficient labeling technique and interpretable deep neural network for the classification of seizures using continuous electroencephalograms
(Georgia Institute of Technology, 2018-04-24)
This thesis focuses on the classification of seizures, together with finding efficient and scalable ways to obtain high-quality datasets in order to train deep neural networks. It was motivated by the need to automate the ...
Empirical analysis of existing and emerging threats at scale using DNS
(Georgia Institute of Technology, 2018-04-10)
The security landscape is constantly evolving. Therefore, in order to build better defenses, it is critical to evaluate emerging and existing threats to better understand how and where to prioritize future security efforts. ...
Point process modeling and optimization of social networks
(Georgia Institute of Technology, 2018-04-05)
Online social media such as Facebook and Twitter and communities such as Wikipedia and Stackoverflow turn to become an inseparable part of today's lifestyle. Users usually participate via a variety of ways like sharing ...
Distributed memory building blocks for massive biological sequence analysis
(Georgia Institute of Technology, 2018-04-03)
K-mer indices and de Bruijn graphs are important data structures in
bioinformatics with multiple applications ranging from foundational tasks such as error correction, alignment, and genome assembly, to knowledge discovery ...
Energy efficient data driven distributed traffic simulations
(Georgia Institute of Technology, 2018-04-05)
With the growing capabilities of the Internet of Things and proliferation of mobile devices interest in the use of real-time data as a means for input to distributed online simulations has increased. Online simulations ...
Generation of Linux commands using natural language descriptions
(Georgia Institute of Technology, 2018-03-01)
Translating natural language into source code or programs is an important problem in natural language understanding -- both in terms of practical applications and in terms of understanding usage of language to affect action. ...
Evaluating the effectiveness and efficiency of Parsons problems and dynamically adaptive parsons problems as a type of low cognitive load practice problem
(Georgia Institute of Technology, 2018-04-09)
Learning to program can be difficult and time consuming. Learners can spend hours trying to figure out why their program doesn’t compile or run correctly. Many countries, including the United States, want to train thousands ...
Numerical and streaming analyses of centrality measures on graphs
(Georgia Institute of Technology, 2018-03-28)
Graph data represent information about entities (vertices) and the relationships or connections between them (edges). In real-world networks today, new data are constantly being produced, leading to the notion of dynamic ...
A multimodal execution monitor for assistive robots
(Georgia Institute of Technology, 2018-03-16)
Assistive robots have the potential to serve as caregivers, providing assistance with activities of daily living to people with disabilities. Monitoring when something has gone wrong could help assistive robots operate ...
Teaching robots about human environments: Leveraging human interaction to efficiently learn and use multisensory object affordances
(Georgia Institute of Technology, 2018-01-09)
The real world is complex, unstructured, and contains high levels of uncertainty. Although past work shows that robots can successfully operate in situations where a single skill is needed, they will need a framework that ...