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Now showing items 1-10 of 11
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 ...
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 ...
Essays on organizational ambidexterity, financial reporting quality, and investment efficiency
(University of Wisconsin - Whitewater, 2021-08)
Organizational ambidexterity is a corporate strategy where a firm simultaneously seeks to pursue exploration and exploitation (March, 1991). Despite being described as one of the most interesting subjects in strategy ...
Regime-switching advantage in statistical arbitrage strategies conditioned on time series momentum and volatility in leveraged exchange traded funds : theory and evidence
(University of Wisconsin--Whitewater, 2019-09)
The phenomena of volatility decay (also known as time decay) and path dependence in leveraged exchange traded funds (ETF) markets have been documented in the literature. This dissertation examined whether it is possible ...
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 ...
The impact of community social capital and trust on levels of accounting conservatism
(University of Wisconsin - Whitewater, 2021-08)
Accounting conservatism reflects the judgment and potential bias allowed per accrual-based accounting by choosing to disclose bad news ahead of holding a higher bar for reporting good news. Financial reporting aggressiveness ...
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 ...
Emergent behavior in neuroevolved agents
(University of Wisconsin--Whitewater, 2018-11)
Neural networks have been widely used for their ability to create generalized rulesets for a given set of training data. In applications where no such training data exists such as new video games, they are often overlooked ...
Superresolution recurrent convolutional neural networks for learning with multi-resolution whole slide images
(University of Wisconsin--Whitewater, 2018-11)
A recurrent convolutional neural network is supervised machine learning way to process images that has both properties of convolutional and recurrent networks. We propose Convolutional Neural Network (CNN) based approach ...
A residual recurrent convolutional neural network for image superresolution with whole slide images
(University of Wisconsin--Whitewater, 2019-04)
Presented is a deep learning based computational approach to solve the problem of enhancing the resolution of images gained from commonly available low magnification scanners, also known as the image super-resolution (SR) ...