Search
Skip to Search Results- 1Adutwum, Lawrence A
- 1Alireza Kheradmand
- 1Boers, Nicholas M.
- 1Cakiroglu, Celal
- 1Casciaro, Yolanda
- 1Fedon S., Roberto J
-
Spring 2024
In machine learning and data mining, outliers—data points significantly differing from the majority—often pose challenges by introducing irrelevant information. Unsupervised methods are often used for detecting them as the information about outliers is unknown. Global-Local Outlier Scores based...
-
The Estimation of Buttresses Volume and Classification of Leaf, Wood, and Lianas from Terrestrial Laser Scanning data
DownloadSpring 2023
Forests account for one third of land area, and two third of global photosynthesis. The better we know about forests, the better decisions we can make on forest management and carbon cycle modeling. During the last decades, we see the development in remote sensing techniques for forest...
-
Application of Machine Learning to Automate Classification and Information Extraction in Industrial Construction Documents
DownloadSpring 2022
Industrial construction projects are usually mega-projects that involve millions of labour person-hours and generate hundreds of thousands of documents. Construction documents represent a vital source of information and knowledge regarding the project scope. Documents come in different types and...
-
Fall 2021
Deep neural network (DNN) has been developed rapidly in years. While it shows promising results in various tasks of computer vision, DNN typically suffers from accuracy loss due to the domain shift from a source domain to a target domain. To mitigate the accuracy loss without the label from...
-
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...
-
Spring 2021
The electrocardiogram is the standard tool for detecting cardiac abnormalities, such as atrial fibrillation, irregular complexes, and heart blocks. However, the interpretation of this data is an unsolved problem with discrepancies among panels of cardiologists and automated analysis requiring...
-
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...
-
Spring 2020
During collaborative software development, developers often use branches to add features or fix bugs. When merging changes from two branches, conflicts may occur if the changes are inconsistent. Developers need to resolve these conflicts before completing the merge, which is an error-prone and...
-
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...
-
Navigating Protective Custody Classification: Examining the Lived Experiences of PC Inmates
DownloadSpring 2019
Classification systems in prisons have consequences in both formal and informal ways for inmates. Protective custody (PC) units are especially unique spaces in which traditionally the most vilified populations – informally often referred to as “skinners, rats, and scaredy cats” – have been...