Browsing OU - Theses by Author "Grant, Christan"
Now showing items 1-17 of 17
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Applied High-Order Singular Value Decomposition for Weight Compression and Expansion in Deep Neural Networks
Graham, Austin (2019-08)Complex deep learning objectives such as object detection and saliency, semantic segmentation, sequence-to-sequence translation, and others have given rise to training processes requiring increasing amounts of time and ... -
Augmenting faceted browsing of the Isis bibliography of the history of science with small multiple time series visualizations
Gopalachary, Bhavana (2021-05)Bibliographic data can be defined as content of a library catalog, union catalog or abstract and indexing service which connects users to the information they need. A bibliographic record helps users find and access the ... -
CIGARCoil: A New Algorithm for the Compression of DNA Sequencing Data
Womack, Addison (2019-05-10)DNA sequencing machines produce tens of thousands to hundreds of millions of reads. Each read consists of letters from the alphabet X= {A, T, C, G, N} and varies in length between 30 to 120 characters and beyond. The DNA ... -
Compressing Massive Sequencing Data with Multiple Attribute Tree
Selimovic, Dorian (2019-12-13)The significant drop in DNA Sequencing costs caused by Next-Generation Sequencing has led to the production of massive amounts of raw sequencing data. This data is stored in FASTQ files, which are text files containing a ... -
A Constraint Driven Approach to Neural and Muscle Recruitment in Wrist Motor Tasks
Lopez - Santillana, Manuel (2020-07-30)The transformation from visual stimulus to muscle recruitment is a non- linear one: it must take into account the configuration of the body and the lines of action of the muscles. The primary cortex plays a role in the ... -
Evaluating GAM-Like Neural Network Architectures for Interpretable Machine Learning
Booker, William (2019-05)In many machine learning applications, interpretability is of the utmost importance. Artificial intelligence is proliferating, but before you entrust your finances, your well-being, or even your life to a machine, you’d ... -
Evaluating Languages for Bioinformatics: Performance, Expressiveness and Energy
Ray, Randy (2022-12)One of the fastest growing concerns in the technology sector is the increased demand for power in the world's data centers. Global data center electricity use in 2021 was estimated as between 220 and 320 terawatt-hours ... -
Evolving Spiking Neural Networks with NEAT
Hirsch, Mary (2020)Spiking neural networks (SNNs) attempt to computationally model biological neurons. While similar to artificial neural networks (ANNs), SNNs preserve the temporal and binary aspects of neurons. Computational evolution is ... -
A Flexible Schema-Aware Mapping of XML Data into Relational Models
Sunchu, Vamshi Krishna (2016-08)In the last several years, substantial contributions have been made in the development of techniques to transform and store eXtensible Markup Language (XML) data into relational database models. Although there exists rich ... -
Graph Isomorphisms and Homeomorphisms for Part and Assembly Matching: Distributed System and Provenance with Blockchain Technology
Kenney (2020-05)In recent times, the democratization of manufacturing through various developments in the industry, such as 3-D printing and crowdsourcing, has led to increasing levels of innovation and a greater ability for smaller ... -
A Pixel-Based Focus+Context Technique for Visualizing Variation in Classical Text
Asokarajan, Bharathi (2016-05)Before the advent of printed texts, text duplication was primarily done by hand copying. As a result, numerous versions of the same text with errors, alterations, and erasures were often created. Classics scholars synthesize ... -
Question-Answering for Segment Retrieval on Podcast Transcripts
Elaryan, Andrew (2022-08)Podcasting has rapidly ascended as one of the primary forms of spoken-word media in the 21st century. The Spotify Podcast Dataset has compiled transcripts of over 100,000 podcast episodes, making it one of the largest ... -
Recording and Replaying User Intentions in Coordinated Multiple View Visualizations
Vangala, Sudarshan Reddy (2016-08-12)Visualization tools help people gain insights into data. Analysts often want to revisit and review previously visited visualization states to make sense of their previous observations. Browsing a history of visualization ... -
Reinforcement learning for continuous control
Murali Krishnan, Shyam Sundar (2020-12-18)Reinforcement learning is an area in machine learning that concerns how agents should take actions in an environment to maximize its reward. Earlier works on reinforcement learning algorithms work well for discrete action ... -
Scholarship-Student Matching Process Optimization
Rachmawati, Sekar Rizky (2017-12-15)Students need the support of financial aid to help them pay for college tuition and fees. One source of financial aid comes from scholarships. Universities are a primary source for scholarships. The University of Oklahoma ... -
Video Outpainting using Conditional Generative Adverarial Networks
Maggia, Braiden (2021)Recent advancements in machine learning and neural networks have pushed the boundaries of what computers can achieve. Generative adversarial networks are a specific type of neural network that have proved wildly successful ... -
Visualizing Data in Traditional Text Layouts with Application to Classical Latin
Rathnam, Jeyachandran (2017)Scholarship in linguistics, library science, journalism, and classics has long de- pended upon reading and analyzing text in traditional printed formats. Increasingly, manual and automatic text processing techniques are ...