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Evaluating GAM-Like Neural Network Architectures for Interpretable Machine Learning
(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 ...
Automated Detection of Bird Roosts Using NEXRAD Radar Data and Convolutional Neural Networks
(2017-12-15)
NEXRAD radars have proven to be an effective tool for detecting bird roosts for several species or birds, however manually locating these roosts in radar images is a time consuming process. We introduce a Convolutional ...
Real-Time Gesture Recognition with Mini Drones
(2018-12-14)
Drones are being used worldwide to perform many functions - medical deliveries, video recording, and surveying to name a few. Their growing presence is paralleled by the growing world of Machine Learning (ML). This thesis ...
MISSISSIPPIAN MERAMEC LITHOLOGIES AND PETROPHYSICAL PROPERTY VARIABILITY, STACK TREND, ANADARKO BASIN, OKLAHOMA
(2019-05)
Mississippian Meramec reservoirs of the STACK (Sooner Trend in the Anadarko [Basin] in Canadian and Kingfisher counties) play are comprised of silty limestones, calcareous siltstones, argillaceous-calcareous siltstones, ...
Predicting wine quality and/or taste through the use of a latent ODE-RNN Neural Net
(2019-12-13)
It is common for recommendation systems to use clustering techniques for finding similar products for the downstream user. These models do not always incorporate time as a variable when recommending an item. If our ...
BIG DATA ANALYTICS IN TRANSPORTATION NETWORKS USING THE NPMRDS
(2016-05-06)
Urban traffic congestion is common and the cause for loss of productivity (due to trip delays) and higher risk to passenger safety (due to increased time in the automobile), not to mention an increase in fuel consumption, ...
Imbalanced Learning with Parametric Linear Programming Support Vector Machine For Weather Data Application
(2019-05-10)
Learning from imbalanced data sets is one of the aspects of predictive modeling and machine learning that has taken a lot of attention in the last decade. Multiple research projects have been carried out to adjust the ...
Secure Decentralized Decisions in Consolidated Hospital Systems: Intelligent Agents and Blockchain
(2018)
Shared decision making has become a very important solution in order to build a consolidated healthcare system. While there is some research in the healthcare literature discussing the advantages and disadvantages of the ...
Analysis of the relationships between eye tracking information and text comprehension levels in healthcare
(2017-12)
Health information can be found more easily than ever through a variety of digital texts: from health forums online, informative websites, or phone apps that monitor your health. It is important that the patients are able ...
Seismic Reprocessing of a Granite Wash Survey, Buffalow Wallow Field, Anadarko Basin, Texas
(2017-12-16)
Although considered one of the more productive oil and gas reservoirs in the United States, the Pennsylvanian-age Granite Wash reservoir remain poorly understood. Amongst a myriad of issues that hinder development of ...