• Publications
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Woefzela - An Open-Source Platform for ASR Data Collection in the Developing World
TLDR
This project was made possible through the support of the South African National Centre for Human Language Technology, an initiative of theSouth African Department of Arts and Culture. Expand
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Evaluating topic models with stability
TLDR
We present a topic stability method that uses the average document correlation between topics as the performance metric for topic models. Expand
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Specializing CRISP-DM for Evidence Mining
TLDR
We use the term “evidence mining” to refer to the application of data mining and knowledge discovery techniques to support the analysis phase of digital forensic investigations. Expand
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Research Article Morphological Analysis: A Method for Selecting ICT Applications in South African Government Service Delivery
Successful ICT projects depend on complex, interrelated sociological and technical factors for which there are no standard theoretical framework for prediction or analysis. Morphological analysis isExpand
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A smartphone-based ASR data collection tool for under-resourced languages
TLDR
We provide a brief overview of related data collection strategies, highlighting some of the salient issues pertaining to collecting ASR data for under-resourced languages. Expand
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Modelling cheetah relocation success in southern Africa using an Iterative Bayesian Network Development Cycle
Relocation is one of the strategies used by conservationists to deal with problem cheetahs in southern Africa. The success of a relocation event and the factors that influence it within the broaderExpand
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Simulating Null Games for Uncertainty Evaluation in Green Security Games
TLDR
We introduced a simulation framework and null game for uncertainty evaluation in green security games (GSG). Expand
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Uncertainty representation, quantification and evaluation for data and information fusion
TLDR
We investigate the sources of uncertainty in the modelling process. Expand
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A framework for inferring predictive distributions of rhino poaching events through causal modelling
TLDR
In this paper a Bayesian network causal model is proposed to model the underlying (causal) relationships that lead to rhino poaching events. Expand
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Uncertainty evaluation of data and information fusion within the context of the decision loop
TLDR
The uncertainty representation and reasoning framework (URREF) ontology can only be meaningfully used for evaluation when the subjects of evaluation within the fusion system, and more broadly the decision loop, are defined explicitly. Expand
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