Browsing by Supervisor "Mayo, Michael"
Now showing items 1-11 of 11
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Hierarchical, informed and robust machine learning for surgical tool management
(The University of Waikato, 2023)This thesis focuses on the development of a computer vision and deep learning based system for the intelligent management of surgical tools. The work accomplished included the development of a new dataset, creation of state ... -
Real time analysis of cataract surgery videos using deep learning
(The University of Waikato, 2022)A deep learning framework is proposed that classifies surgical instruments within cataract surgery videos and generates clinical summary reports, proving objective reporting and analysis. This framework is run in real time ... -
Epidemiological evidence that can help to improve timely diagnosis of colorectal cancer in New Zealand.
(The University of Waikato, 2021)Incidence rates of colorectal cancer (CRC) in New Zealand (NZ) are among the highest in the world. The long-term survival rates in NZ are poor, which has partially been attributed to late diagnosis. Considering that CRC ... -
Autoencoder-based techniques for improved classification in settings with high dimensional and small sized data
(The University of Waikato, 2020)Neural network models have been widely tested and analysed usinglarge sized high dimensional datasets. In real world application prob-lems, the available datasets are often limited in size due to reasonsrelated to the ... -
Hokohoko: A comprehensive framework for evaluating artificial intelligence-based and statistical techniques for foreign exchange speculation
(The University of Waikato, 2020)This thesis investigates the measurement of predictor performance as applied to foreign exchange speculation. It outlines the development of key ideas and techniques over the course of the last 120 years, and examines the ... -
Surrogate-Assisted Evolutionary Algorithms for Wind Farm Layout Optimisation Problem
(University of Waikato, 2016)Due to the increasing need for computationally expensive optimisation in many real-world applications, surrogate-assisted evolutionary algorithms have attracted growing attention. In the literature, surrogate-assisted ... -
Linear Genetic Programming with Experience
(University of Waikato, 2015)A novel method of using Machine Learning (ML) algorithms to improve the performance of Linear Genetic Programming (LGP) is studied. In this study, structures used to organize the trained ML models are called Experience ... -
Meta-Learning and the Full Model Selection Problem
(University of Waikato, 2014)When working as a data analyst, one of my daily tasks is to select appropriate tools from a set of existing data analysis techniques in my toolbox, including data preprocessing, outlier detection, feature selection, learning ... -
Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach
(University of Waikato, 2013)Currently, the evaluation of network anomaly detection methods is often not repeatable. It is difficult to ascertain if different implementations of the same methods have the same performance or the relative performance ... -
Improving Bags-of-Words model for object categorization
(University of Waikato, 2013)In the past decade, Bags-of-Words (BOW) models have become popular for the task of object recognition, owing to their good performance and simplicity. Some of the most effective recent methods for computer-based object ... -
Sequence-based protein classification: binary Profile Hidden Markov Models and propositionalisation
(University of Waikato, 2011)Detecting similarity in biological sequences is a key element to understanding the mechanisms of life. Researchers infer potential structural, functional or evolutionary relationships from similarity. However, the concept ...
