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Skip to Search Results- 1Adutwum, Lawrence A
- 1Alireza Kheradmand
- 1Armstrong, Michael D S
- 1Barker-Rothschild, Daniel
- 1Boers, Nicholas M.
- 1Cakiroglu, Celal
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Decomposition and Feature Selection of Comprehensive 2-DimensionalGas Chromatography - Time-of-Flight Mass Spectrometry(GC×GC-TOFMS) Data
DownloadFall 2021
Comprehensive Two-Dimensional Gas Chromatography - Time-of-Flight Mass Spectrometry (GC×GC-TOFMS) is an advanced instrumental technique that separates complex mixtures along two chromatographic dimensions, followed by multivariate detection that collects mass spectral information at a high...
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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Fall 2012
Functional Magnetic Resonance Imaging (fMRI) measures the dynamic activity of each voxel of a brain. This dissertation addresses the challenge of learning a diagnostic classifier that uses a subject’s fMRI data to distinguish subjects with neuropsychiatric disorders from healthy controls. fMRI...
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Fall 2019
The growth of an organization in the market relies on customer’s satisfaction towards its products and services. Due to the dynamic nature of the internet, and increasing blogs, forums, and customer feedback, it usually remains a key issue in any industry to identify and extract data attributes...
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High-dimensional data mining: subspace clustering, outlier detection and applications to classification
DownloadSpring 2010
Data mining in high dimensionality almost inevitably faces the consequences of increasing sparsity and declining differentiation between points. This is problematic because we usually exploit these differences for approaches such as clustering and outlier detection. In addition, the exponentially...
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Fall 2010
In this dissertation, a hydrologic classification approach was tested using the shape factor of hydrographs to represent variation in streamflow regimes across Alberta. Hydrograph shape factor was effective at separating the forested landbase into 6 spatially distinct regions. Further statistical...
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Inferring Semantic Information from Websites: A View into Contextual Advertising and User Behavior Profiling
DownloadFall 2015
The World Wide Web has become an important platform for the execution of diverse types of human endeavor. There are billions of webpages covering different subjects and users with varied backgrounds on the web. Every day, colossal volumes of data are collected about the usage of websites....
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Integrated Classification of Cannabis Strains Marketed in Canada for Medical Purposes Based on Genetic, Chemical Profiles, and Morphological Traits
DownloadFall 2021
The vernacular naming convention commonly used by the cannabis community (“Sativa” and “Indica”) is inadequate for identifying or selecting strains for clinical research and medicinal production because they are arbitrary and inconsistent. In addition, they mostly contain tetrahydrocannabinol...
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Latent Class and Functional Data Analyses for the Investigation of Stiffness in Low Back Pain
DownloadFall 2018
Low back pain (LBP) is known to be a prevalent, debilitating and costly condition, not to mention the difficulty clinicians have treating it. But progress has been made, as it has recently been shown that instrumented L3 indentation generates force-displacement (F-D) data that is associated with...