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Now showing items 21-30 of 62
IMPROVING MOBILE MALWARE DETECTORS USING CO-EVOLUTION TO CREATE AN ARTIFICIAL ARMS RACES
(2018-08-21)
On the Internet today, mobile malware is one of the most common attack methods.
These attacks are usually established via malicious mobile apps. One technique
used to combat this threat is the deployment of mobile malware ...
An Ensemble Regression Approach For OCR Error Correction
(2017-04-11)
This thesis deals with the problem of error correction for Optical Character Recognation (OCR) generated text, or OCR-postprocessing: how to detect error words in a text generated from OCR process and to suggest the most ...
Analyzing Large Scale Wi-Fi Data Using Supervised and Unsupervised Learning Techniques
(2017-01-06)
With the increasing number of Wi-Fi enabled portable devices, and the ubiquitous Wi-Fi networks, analyzing multiple aspects of a population is becoming more insightful, inexpensive and non-intrusive. Network packets ...
A Machine Learning Approach to Forecasting Consumer Food Prices
(2017-08-24)
Building on the success of the Canada Food Price Report 2017 and its inclusion of a machine learning methodology, this research thesis posed and attempted to answer the following question, “What is the best way to predict ...
Modeling Activity Selection and Scheduling Behavior of Population Cohorts within an Activity-Based Travel Demand Model System
(2018-04-02)
Understanding the time-use activity patterns of population cohorts in the region will contribute greatly to modeling spatio-temporal urban transportation demand models. The research detailed in this dissertation focuses ...
Modelling Human Target Reaching using A novel predictive deep reinforcement learning technique
(2018-04-03)
It is hypothesized that the brain builds an internal representation of the world and its body. Moreover, it is well established that human decision making and instrumental control uses multiple systems, some which are ...
Applying Speech Recognition and Language Processing Methods to Transcribe and Structure Physicians’ Audio Notes to a Standardized Clinical Report Format
(2020-03-10)
Clinical documentation is an audio recording of the clinical encounter by the specialist which is subsequently manually transcribed to be added to the patient’s medical record. The current clinical documentation process ...
Interactive Learning To Rank And Visual Rank Interpretation
(2020-04-08)
Many algorithms in the Information Retrieval domain have been developed considering training models using vast amounts of data. The acquisition of this data, however, is time-consuming and requires lots of human effort. ...
Measurement of Heterogeneity in Computational Psychiatry
(2020-04-14)
We introduce representational Rényi heterogeneity (RRH), which generalizes existing heterogeneity measurement approaches from ecology (biodiversity measures) and economics (inequality measures). We show that RRH retains ...
Ordinal Variable Imputation for Health Survey Data: A Comparison between Machine Learning and non-Machine Learning Methods
(2021-08-31)
Introduction: Large amounts of data are available for analyses from survey datasets. However, missing data can potentially reduce statistical power and/or introduce bias into analyses when not addressed correctly. Data ...