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Skip to Search Results- 36Zaiane, Osmar (Computing Science)
- 2Goebel, Randy (Computing Science)
- 1Bolduc, Francois (Pediatrics)
- 1Gross, Douglas (Physical Therapy)
- 1Günther, Johannes (Computing Science)
- 1Hu, Bryan (Electrical and Computer Engineering)
- 2Dziri, Nouha
- 1Abnar, Afra
- 1Adilmagambetov, Aibek
- 1Ahmed, Farrukh
- 1Alam Anik, Md Tanvir
- 1Austin, Eric
- 8Machine Learning
- 6Natural Language Processing
- 3Associative Classification
- 2Association Rules
- 2Community Detection
- 2Community Mining
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Spring 2012
Social networks are ubiquitous. They can be extracted from our purchase history at on-line retailers, our cellphone bills, and even our health records. Mining tech- niques that can accurately and efficiently identify interesting patterns in these net- works are sought after by researchers from a...
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Fall 2016
Current medical imaging professional training uses an apprenticeship model with students following an established doctor and viewing their cases, in what is called a practicum. This posses an issue as students are limited to the cases available during their practicum. To resolve this automated...
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Spring 2011
Comparative analysis is an essential part of understanding how and why things work the way they do. Why postgraduate degree holders really earn more money than those with an undergraduate degree? What factors contribute to pre-term births? Why are some students more successful than others? The...
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Spring 2019
When a machine or a component of a machine fails, corrective maintenance is performed to identify the cause of failure and decide on a repair mechanism to restore the machine to its normal working condition. However, because the machine has failed without any prior warning, a considerable amount...
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Fall 2012
Co-location mining, which focuses on the detection of co-location patterns, is one of the tasks of spatial data mining. A co-location pattern is a set of spatial features frequently located in close proximity of each other. Most previous works are based on transaction-free apriori-like algorithms...
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Fall 2016
Mohomed Jabbar, Mohomed Shazan
Co-location pattern mining is a class of techniques to find associations among spatial features. It has a wide range of applications varying from business to science. Our work is motivated by an application in environmental health where the goal is to investigate whether the maternal exposure...
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Fall 2015
Emotion mining is the science of detecting, analyzing, and evaluating humans’ feelings towards different events, issues, services, or any other interest. One of its specific directions is text emotion mining, that refers to analyzing people’s emotions based on observations of their writings. Text...
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Fall 2020
Motallebi Shabestari, Mohammad Hossein
Present-day advancements in AI, amongst other things, have often been regarding improving the accuracy of classification models. One lagging aspect, however, is justifying the decisions made by those models. Recently, AI researchers are paying more attention to fill this gap, leading to the...
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Fall 2022
Overfitting is a phenomenon when a machine learning system learns the patterns in training data so well that it starts to inauspiciously affect the model performance on unseen data. In practice, machine learning systems that overfit are not deployable rather systems that generalize well and do...
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Spring 2021
This thesis investigates the use of general value functions for detecting anomalous behavior in machines. Identifying abnormal behavior is critical for ensuring the safety and reliability of any machine or industrial process. When the cause of these anomalies is due to accumulated wear on...