Browsing by Author "Mayo, Michael"

• A 3-factor epistatic model predicts digital ulcers in Italian scleroderma patients 

  Beretta, Lorenzo; Santaniello, Alessandro; Mayo, Michael; Cappiello, Francesca; Marchini, Maurizio; Scorza, Raffaella (Elsevier, 2010)

  Background The genetic background may predispose systemic sclerosis (SSc) patients to the development of digital ulcers (DUs). Methods Twenty-two functional cytokine single nucleotide polymorphisms (SNPs) and 3 HLA class ...

• 3D face recognition using multiview keypoint matching 

  Mayo, Michael; Zhang, Edmond Yiwen (IEEE, 2009)

  A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate each 3D point cloud representing an individual’s ...

  

• Adaptive feature thresholding for off-line signature verification 

  Larkins, Robert L.; Mayo, Michael (IEEE Press, 2008)

  This paper introduces Adaptive Feature Thresholding (AFT) which is a novel method of person-dependent off-line signature verification. AFT enhances how a simple image feature of a signature is converted to a binary feature ...

  

• An Adaptive Model-based Mutation Operator for the Wind Farm Layout Optimisation Problem 

  Mayo, Michael; Daoud, Maisa (IEEE, 2015)

  A novel mutation operator for the wind farm layout optimisation problem is proposed and tested. When a wind farm layout is simulated, statistics such as an individual turbine’s wake free ratio can be computed. These ...

  

• Aesthetic local search of wind farm layouts 

  Mayo, Michael; Daoud, Maisa (MDPI, 2017)

  The visual impact of wind farm layouts has seen little consideration in the literature on the wind farm layout optimisation problem to date. Most existing algorithms focus on optimising layouts for power or the cost of ...

  

• Real time analysis of cataract surgery videos using deep learning 

  Whitten, Jesse (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. 

  Hirsz, Malgorzata (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 

  Daoud, Maisa (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 

  Bradley, Neil Christopher (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 

  Zheng, Chen (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 ...

  

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