Search
Now showing items 11-20 of 59
Using Machine Learning to Improve the NSSL's Warn-On-Forecast System's Prediction of Thunderstorm Location
(2023-08-04)
Deep learning (DL) models have become immensely popular in recent years, with many models creating accurate and high-skill predictions for a wide range of atmospheric phenomena. Using DL models for predicting convection ...
Theory-Guided Algorithm Design for Scalable Machine Learning
(2023-05-12)
My thesis focuses on designing scalable machine learning algorithms leveraging theoretical advances in mathematics. In particular, I investigate two directions where scalability plays an important role: fair machine learning ...
Development of Deep Learning Methodologies for Modeling Navigational Features in Continuous Spaces
(2021-12)
This thesis proposes generalized methodologies to model navigational features of continuous spaces using deep learning architectural approaches. Navigational features impact how an entity can effectively travel within a ...
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 ...
A Simulation Study Comparing the Use of Supervised Machine Learning Variable Selection Methods in the Psychological Sciences
(2022)
When specifying a predictive model for classification, variable selection (or subset selection) is one of the most important steps for researchers to consider. Reducing the necessary number of variables in a prediction ...
Application of Artificial Neural Networks, Gradient Boosted Decision Trees, and Multilevel Logistic Models in a Supervised Learning Environment to Investigate Differences in Classification Performance when Predicting College Enrollment
(2018-05)
The use of data mining algorithms for applied practice is becoming commonplace in many industries. The application of these models to the domain of educational data and practice could provide significant gains in understanding ...
Analysis of dynamics of road weather information system data
(2023-12)
Road and Weather Information System consists of a network of roadside Environmental Sensor Stations (EES) collecting meteorological data. Equipped with a variety of sensors, these stations gather data including ambient ...
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 ...
Do We Really Need Deep Learning?: A Study on Play Identification using SEM Images
(2021-05-14)
Deep learning has become an integral part of image classification and segmentation, especially with the use of convolutional neural networks (CNN) and their variants. Although computationally expensive and time-consuming, ...
Machine learning for classifying biological radar echoes with S-band polarimetric radar
(2023-12-15)
The S-band WSR-88D weather radar is sensitive enough to observe biological
scatterers like birds and insects. However, their non-spherical shapes and frequent
collocation in the radar resolution volume create challenges ...