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Skip to Search Results- 84Machine learning
- 6Artificial intelligence
- 4Directionality
- 4Image processing
- 4Reinforcement learning
- 3Data mining
- 2White, Martha
- 1Adegun, Ibironke
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alexandra Marie Claire Beatty
- 1Alinezhad, Haniyeh Seyed
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Spring 2010
This thesis presents Pathway Informed Analysis (PIA), a classification method for predicting disease states (diagnosis) from metabolic profile measurements that incorporates biological knowledge in the form of metabolic pathways. A metabolic pathway describes a set of chemical reactions that...
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A framework for offsite construction manufacturing process improvement through digitalization and automated real-time data collection
DownloadFall 2022
This thesis proposes methods to apply real-time data to improve manufacturing operations in offsite construction using a combination of tools such as simulation, machine learning, and exploratory data analysis. These methods are applied to increase flexibility in operations and digitalize the...
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Spring 2010
In this work, we present a unified, general approach to variance reduction in agent evaluation using machine learning to minimize variance. Evaluating an agent's performance in a stochastic setting is necessary for agent development, scientific evaluation, and competitions. Traditionally,...
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A Machine Learning Approach to Predict Production Time in Industrialized Building Construction
DownloadFall 2021
Industrialized building construction is an effective approach for improving the performance and management of construction projects by offering higher quality products, minimized environmental impacts, and improved schedule predictability. The industrialized building construction approach...
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Advanced Machine Learning Techniques for Analysis of 4D Brain Images in Ischemic Stroke Diagnosis and Assessment
DownloadFall 2023
Acute Ischemic Stroke (AIS), a devastating cerebrovascular disorder, is one of the leading causes of disability and mortality worldwide. It occurs when the blood supply to a part of the brain is interrupted, resulting in the deprivation of oxygen and nutrients, leading to neuronal damage and...
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Fall 2023
Monitoring industrial processes is essential to maintain efficient and safe operation. An alarm system is an imperative component of industrial process monitoring, as it alerts operators to abnormal conditions. Alarms indicate when the process is disrupted, which allows operators to react...
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Advances in Probabilistic Generative Models: Normalizing Flows, Multi-View Learning, and Linear Dynamical Systems
DownloadFall 2020
This thesis considers some aspects of generative models including my contributions in deep probabilistic generative architectures and linear dynamical systems. First, some advances in deep probabilistic generative models are contributed. Flow-based generative modelling is an emerging and highly...
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Advancing Automated Depression Diagnosis: Multimodal Analysis and a Novel Clinical Interview Corpus with Guidelines for Reproducibility and Generalizability
DownloadFall 2024
Depression is a major public health issue globally and is challenging to diagnose and treat in the early clinical stage due to the lack of understanding of the pathogenic mechanism. Traditional diagnosis heavily relies on physicians' experience and is subject to bias. With the advancement of...
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Alzheimer’s Dementia Detection Through Machine Learning: Analyzing Linguistic and Acoustic Features in Spontaneous Speech
DownloadFall 2023
With the rapid aging of the world’s population, the global burden of aging related mental disorders, such as Alzheimer’s dementia (AD), is also on the rise. Unfortunately global healthcare systems are vastly under-resourced, which means that many people who need mental health services are unable...