An analysis of hybrid hidden Markov models for cetacean detection by Edwards, David James Erich

Get full text

A model to achieve communicative equivalence in translation dictionaries by Mphahlele, Motlokwe Clifford

Get full text

The mentoring role of unit managers in a clinical psychiatric setting

Get full text
Get full text

Application of data mining and machine learning on occupational health and safety struck-by incidents on south African construction sites: a CRISP-DM approach. by Adams, Logan Charl

Get full text

Few-shot Learning for Joint Classification of Instrument, Pitch, and Playing Technique of Tones Produced by Bowed String Instruments

Get full text

Convolutional Neural Networks for Robust Fynbos Leaf Classification: Enabling Trustworthy Machine Learning in Botanical Science by Govender, Jarushen

“…A part of thesis involved the creation of a novel Image Quality Assessment tool to remove low quality images that negatively influenced the predictive capability of the model. The model evaluation process makes use of SHapley Additive exPlanations (SHAP), a tool for visualising model predictions, to contribute to the explian-ability of the model and to develop trust and confidence in machine-learning algorithms, with the ultimate aim of providing a tool to merge the fields of ecology, botany and electrical engineering. …”
Get full text

Discriminative and Bayesian techniques for hidden Markov model speech recognition systems

Get full text
Get full text

Using social learning environments to leverage traditional supervision of research students: a community of practice perspective by Mlambo, Shepherd

Get full text

A proposed integrated mentoring practice framework to guide university supervisors during work - integrated learning

Get full text

A model for the integrated and transversal monitoring and evaluation of rural development programmes implemented by the Limpopo Provincial Government in South Africa

Get full text

Assessing cartel detection and damages in simulated markets : a comparative study of econometric and machine learning approaches by Visser, Amy Sharon

Get full text

Strategies for combining tree-based learners by Meyer, Nicholas George

Subjects: “…Learning models (Stochastic processes)…”
Get full text

Technology-enhanced teaching and learning: a case of the faculty of Art in Kwame Nkrumah University of Science and Technology by Annku, Epilogue

Get full text

Expansionary engagements : Butterworth's didactic-democratic spectrum model in physical theatre choreography

Get full text

A comparison of a factor-based investment strategy and machine learning for predicting excess returns on the JSE by Drue, Stefan

“…A portfolio-sort method is used to construct portfolios. The machine learning model was trained on historical share data from the Johannesburg Stock Exchange. …”
Get full text

A machine learning hybrid approach to forecasting equity returns volatility: A South African perspective. by Tloubatla, Tabataba Simon

“…Keywords/ Key phrases: Volatility stylised facts, forecasting volatility, conditional volatility, machine learning, hybrid machine learning, loss functions, LSTM, hybrid volatility forecasting models.…”
Get full text

Kritisches denken fördern : erstellung und evaluierung eines unterrichtsmodells im landeskundlichen DaF-Unterricht an der University of Zimbabwe

Get full text
Get full text

Using machine learning to predict the risk severity of late effects o f childhood cancer survivors by Nortje, Lene

Get full text

The use of deep learning to predict HER2 status in breast cancer directly from histopathology slides by Smith, Alexandra Nicole

Get full text

The influence of a flipped classroom on the learning approaches of first year Speech-Language and Hearing Therapy students by Visser, Monique

Get full text