Time domain classification of transient RFI by Czech, Daniel Josef

“…RFI continues to present a problem despite increasingly sophisticated countermeasures developed over the decades. …”
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Resampling algorithms for multi-label classification by Kotze, Ulrich

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Human and animal classification using Doppler radar

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Aspects of Bayesian inference, classification and anomaly detection by Roberts, Ethan

“…We present a hierarchical Bayesian formalism, zBEAMS, which addresses this problem by marginalising over the unknown or uncertain supernova redshifts and types to produce unbiased cosmological estimates that are competitive with supernova data with fully spectroscopically confirmed redshifts. zBEAMS thus provides a unified treatment of both photometric redshifts, classification uncertainty and host galaxy misidentification, effectively correcting the inevitable contamination in the Hubble diagram with little or no loss of statistical power.…”
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Unsupervised classification of simulated black hole shadows

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Classification and visualisation of text documents using networks by Phaweni, Thembani

“…In both the areas of text classification and text visualisation graph/network theoretic methods can be applied effectively. …”
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Variable selection for kernel methods with application to binary classification by Oosthuizen, Surette

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On the classification of time series and cross wavelet phase variance by Pienaar, Marc

“…The methodology is applied to large scale classification problems (using benchmark time series), in which the method clearly outperforms other common distance-based measures. …”
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Improving machine learning techniques for influenza-A classification by Shaltout, Nermin Ashraf

“…The method has the potential to improve the efficiency of other Influenza-A classification problems, as well as other viral classification problems in the Bioinformatics field. …”
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Non-stationary signal classification for radar transmitter identification

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A morphological-anatomical classification of growth forms in monocotyledons by Munro, Sioban Lucille

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The use of bayesian neural networks in thyroid cancer classification by Du Preez, Tiana

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Novel methods of supernova classification and type probability estimation by Newling, James

“…In the second half of this thesis we shift focus from classification to the related problem of type probability estimation, and ask how best to use type probabilities.…”
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Classification of synthesised ISAR images of small complex targets by Stewart-Burger, Cullen

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Single manager hedge funds - aspects of classification and diversification by Bohlandt, Florian Martin

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Hierarchical text classification with transformer-based language models by Du Toit, Jaco

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Nominal classification in Bantu revisited : the perspective from Chichewa by Msaka, Peter Kondwani

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ADR-Miner: An Ant-based data reduction algorithm for classification by Abdel Salam, Ismail Mohamed Anwar

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Recognizing contextual valence shifters in document-level sentiment classification by Morsy, Sara Ahmed

“…Early research has tried to add sentiment features and contextual valence shifters to the machine learning approach to tackle this problem, but the classifier's performance was low.In this study, we would like to improve the performance of document-level sentiment classification using the machine learning approach by proposing new feature sets that refine the traditional sentiment feature extraction method and take contextual valence shifters into consideration from a different perspective than the earlier research. …”
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