Master's Theses--UW-Whitewater
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Replicating human bias through synthetic data generation using deep learning
(University of Wisconsin - Whitewater, 2023-12-12)The growth of Artificial Intelligence (AI) emphasizes the need for greater understanding of human and AI interactions. Human models formed during interactions with AI are subjected to cognitive biases, warranting further ... -
Using signature method and deep learning based long short term memory model on time series physiological data to predict sepsis
(University of Wisconsin - Whitewater, 2023-12)Sepsis is a serious medical condition where the body’s immune system reacts to an infection potentially causing organ failure and death. Globally , sepsis affects over 30 million people annually , resulting in around 6 ... -
Analysis of privacy threats in internet of medical things (IoMT) using machine learning
(University of Wisconsin - Whitewater, 2022-12)The growing market for Internet of Medical Things (IoMT) promises new conveniences for consumers while presenting new challenges for preserving consumers’ privacy. Most of the IoMT devices have sensors that keep capturing ... -
Humanness and self-dehumanization in the context of combat-related moral injury: pilot study
(University of Wisconsin - Whitewater, 2022-07)Moral injury (MI) is a relatively new concept that describes negative mental health outcomes resulting from past wrongdoing or the perception of wrongdoing. It emerged in work with military veterans as a counterpoint to ... -
Deep learning for musical form: recognition and analysis
(University of Wisconsin - Whitewater, 2022-04)Musical form analysis is a rigorous task that frequently challenges the expertise of human analysts and signal processing algorithms alike. While numerous systems have been proposed to perform the tasks of musical segmentation, ... -
Audio generation from a single sample using deep convolutional generative adversarial networks
(University of Wisconsin - Whitewater, 2021-12)Training neural networks require sizeable datasets for meaningful output. It is difficult to acquire large datasets for many types of data. This is especially challenging for individuals and small organizations. We have ... -
Explaining agent behavior through intentional sequences
(University of Wisconsin - Whitewater, 2021-12)One of the main goals of this research and Explainable Artificial Intelligence (XAI) is to improve trust between human and AI. Local XAI approaches address trust through explanations of individual decisions but fail to ... -
Censoring the Filthy Fifteen : the rise of the music rating system in America
(University of Wisconsin - Whitewater, 2021-05)This research paper will analyze lyrics used as examples for justification of a music rating system in the 1985 Record Labeling U.S. Senate Hearing. The study contributes an important component to the field of censorship ... -
A simple, space-efficient algorithm for detecting start and stop codons in DNA
(University of Wisconsin - Whitewater, 2021-04)The brute force algorithm for string matching has a worst-case execution complexity of O(MN), where N is the length of the entire string and M is the length of the substring to be matched. The efficiency of brute-force ... -
Repliclade : a simulator of sequence evolution in gene families
(University of Wisconsin - Whitewater, 2021-05)An ever-increasing need in phylogenetic inference entails selection of suitable analytic methods for a given lineage. It also includes identifying appropriate evolutionary models to perform forwards (or backwards) simulation ... -
Building an intuitive and friendly data collection framework to analyze human factors involved in software development
(University of Wisconsin - Whitewater, 2021-04-30)Despite the most important aspect of software products being the people who design them, the research literature concerning the people in question is somewhat sparse and limited. The research that currently exists, while ... -
Solving non-decomposable objectives using linear programming layers in general machine learning models : SVMs and deep neural networks
(University of Wisconsin - Whitewater, 2021-05)Many domain specific machine learning tasks require more fine tuning with respect to nondecomposable metrics to be effective. In many applications such as medical diagnosis and fraud detection, traditional loss measures ... -
Media use and climate change skepticism
(University of Wisconsin--Whitewater, 2020-08)This study examines the relationship among demographic and media variables impacting individual’s climate change skepticism or belief. This study also examines the relationship among climate change skepticism or belief and ... -
Examining the experiences of student veterans on campus : a phenomenological qualitative study
(University of Wisconsin--Whitewater, 2020-05-11)Student veterans represent a rising proportion of university students due to the increased utilization of state and federal education benefits. However, few studies have examined the daily experiences of these individuals ... -
Evaluation of inverse reinforcement learning
(University of Wisconsin--Whitewater, 2019-12)Inverse Reinforcement Learning (IRL) is a technique that is concerned with learning the intrinsic reward function of an expert by observing them perform a task. Many different methods exist from linear programming to deep ... -
Sub-linear algorithms for shortest unique substring and maximal unique matches
(University of Wisconsin--Whitewater, 2019-12)Living in an era where we produce quintillions of data on a daily basis means that there are many intriguing (possibly unrevealed) facts behind them. Some of the data that exists in large quantities is encountered in ... -
Applications of the principle of least effort in data transformation
(University of Wisconsin--Whitewater, 2019-12)I am interested in applying the Principle of Least Effort to data transformation in an effort to solve three important challenges in using video games as a testbed for the study of inverse reinforcement learning. These ... -
Practicability of blockchain technology and scalable blockchain network : sharding
(University of Wisconsin--Whitewater, 2019-12)Currently, some research has been done in the Blockchain domain on how to improve the efficiency of transmissions in Blockchain ecosystem. The effectiveness of the transmissions within a Blockchain network depends on the ... -
Religious adherence and unemployment
(University of Wisconsin--Whitewater, 2019-12)This paper looks at the relationship between unemployment and religious adherence, as a proxy for religiosity. Using data from the Year 2000 US Census and data from the Associate of Religions Data Archives of the same year ... -
An investigation of the effects of peer feedback on cognitive understanding during game play situations in a 7th grade volleyball unit
(University of Wisconsin--Whitewater, 2019-11)The purpose of this study was to determine if peer feedback during game situations affected the cognitive understanding of concepts during a volleyball unit in Physical Education. Physical Education can be an incredibly ...
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