Comparison of Logistic Regression and Classification Trees to Forecast Short Term Defaults on Repeat Consumer Loans by Naicker, Keeland

“…Classification trees remains a popular technique due to its ease of application (algorithm machine learning basis) and model interpretation. …”
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The impact of technological change on jobs and workforce structures

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Gaussian Process Regression for Option Pricing and Hedging by Patel, Ishani

“…Recent literature in the field of quantitative finance has employed machine learning methods to speed up typical numerical calculations including derivative pricing, fitting Greek profiles, constructing volatility surfaces and modelling counterparty credit risk, to name a few. …”
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Gaussian Process Regression for a Single Underlying Autocallable Security by Herbert, Rebecca

“…This dissertation considers the use of the machine learning technique Gaussian Process Regression (GPR) as a faster pricing alternative to Monte Carlo simula- tions. …”
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The quantification of white grape juice phenolics using various spectroscopic methods and chemometrics by Clarke, Sarah

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A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients by Mohamed, Hanya

“…The second aim of this thesis is to use machine learning models to predict the severity of COVID-19 and clinical outcomes based on demographic, epidemiological, comorbidities, and laboratory findings among the Egyptian population during the lockdown period.…”
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Adoption of ICT4D frameworks to support screening for depression in Nigerian universities by Ojeme, Blessing Onuwa

“…The study investigated the effectiveness of developing computer-based methodologies, derived from machine learning and human computer interaction techniques for guiding depression identification process in Nigerian universities. …”
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Automatic Prediction of Comment Quality by Brand, Dirk Johannes

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Improved explainability through uncertainty estimation in automatic target recognition of SAR images

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The variable selection problem and the application of the roc curve for binary outcome variables

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Stock Prediction using Natural Language Processing Sentiment Analysis on News Headlines During COVID-19 by Ibrahim, Mina

“…Due to the technological advancement and abundance of data, the introduction of machine learning tools accelerated that approach. …”
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Gaussian process regression approach to pricing multi-asset American options by Mokone, Christoffel Maboe

“…This dissertation explores the problem of pricing American options in high dimensions using machine learning. In particular, the Gaussian Process Regression Monte Carlo (GPR-MC) algorithm developed by Goudenege et al (2019). is explored, and ` its performance, i.e., its accuracy and efficiency, is benchmarked against the Least Squares Regression Method (LSM) developed by Carriere (1996) and popularised by Longstaff and Schwartz (2001). …”
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A legal and economic analysis of non-fungible tokens on the art market by Chembezi, Titose

“…To counteract speculative volatility and establish more grounded valuations, it suggests the adoption of a hybrid approach that combines the expertise of curators with machine learning models and standardized valuation frameworks. …”
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An integrated furnace co-simulation methodology based on a reduced order CFD approach by Rawlins, Brad

“…The aims of this study was: to develop a reduced order computational fluid dynamics (CFD) model of the furnace and radiative heat exchangers that captures all the important particulate effects while using a Eulerian-Eulerian (EE) approach; using the reduced order CFD model to generate a database of results that covers a wide range of operating conditions; to develop a data-driven surrogate model using machine learning techniques; to integrate the surrogate model with a 1-D process model of the complete boiler; and finally to demonstrate the use of the integrated model to investigate flexible operation and off-design operating conditions. …”
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Estimation and monitoring of grass nitrogen and phosphorus using Sentinel-2 derived spectral information and vegetation indices in a Savanna ecosystem

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Development of a computer vision pipeline for the analysis of Aliivibrio fischeri bioluminescence inhibition on solid media by Parker, Irshaad Ahmad

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Validation of a severity scoring tool for Covid-19 illness in Sudan by Omer, Yasein

“…In the context of the COVID-19 crisis, a low-input severity scoring tool could be a cornerstone of ensuring timely access to appropriate care and justified use of critically limited resources. Machine learning was used on data from a retrospective cohort of Sudanese COVID-19 patients to derive a contextually appropriate mortality scale for COVID-19, the African Federation for Emergency Medicine COVID-19 Mortality Scale (AFEM-CMS) model. …”
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Development of a methodology for artificial intelligence-based clustering of stow and pick operations in order to improve logistics performance in small and medium-sized enterprise... by Schroth, Timo Friedrich

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Automated detection and classification of red roman in unconstrained underwater environments using Mask R-CNN by Conrady, Christopher

“…This research serves as a proof-of-concept that machine learning based methods of video analysis of marine data can replace or at least supplement human analysis.…”
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Real-Time behaviour classification techniques in low-power animal borne sensor applications by Solomon Petrus, Le Roux

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