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Elucidation of the occurrence of extracolonic cancers in Lynch syndrome
Published 2014Get full text
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Using recency, frequency and monetary variables to predict customer lifetime value with XGBoost
Published 2023“…To test the effectiveness of XGBoost in predicting future timeframes, the dataset was divided into three consecutive periods, where the first period formed the features used to predict the target CLV variables in the second and third periods. …”
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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model
Published 2025“…The three ML models developed were based on domain knowledge of fire behaviour and utilised Google Earth Engine(GEE) weather data and Sentinel Hub burned scars satellite data to train a logistic method for simulating fire burn maps. …”
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Systematic studies of the South African Campanulaceae sensu stricto with and emphasis on generic delimitations
Published 2014“…The results favour retaining of Roella, Prismatocarpus and Merciera as separate genera. A synopsis of these three is provided.…”
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An evaluation of the practice of good governance in the public service of Botswana
Published 2018Get full text
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The use of time series analysis as an analytical and predictive model for share prices on the Johannesburg Stock Exchange
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Mass nouns in Tshivenda
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Multimodal neuroimaging signatures of early cART-treated paediatric HIV - Distinguishing perinatally HIV-infected 7-year-old children from uninfected controls
Published 2021“…For each model, the classification performance for HIV+ vs HIV- was assessed by computing accuracy, specificity, sensitivity, and mean area under the receiver operator characteristic curve (AUC) across 10 CV folds and 100 iterations. …”
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Future applications of near infrared spectroscopy (NIRS) in the South African brandy and distillation industry
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PM Lebopa : Papetso ya Dikanegelotseka tsa Lebopa (Sepedi)
Published 2013Get full text
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Earth observation methods for sustainable Karoo Rangeland Management
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Mapping surface water in complex and heterogeneous environments using remote sensing
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Evaluating soil and terrain variables in a production environment: implications for agricultural land assessment
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Semi-Supervised Transfer Learning for medical images as an alternative to ImageNet Transfer Learning
Published 2023“…We leverage unlabelled data by transferring weights/kernels and representations learned by an autoencoder (specifically the encoder part) during a reconstruction task to a classification task. We show the applicability of features learned by the autoencoder from the collection of unlabelled x-ray images to a pneumonia classification problem. …”
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Remote sensing evaluation of Cape parrot habitat in the Eastern Cape: implications for conservation
Published 2023“…Thus, this study uses remotely sensed imagery at a 10 m resolution and random forest classification to (1) produce a land cover map of the indigenous forest in the Amathole region; (2) determine habitat quality of the indigenous forest, and (3) determine whether forest loss, as reported by Global Forest Watch (GFW), reflects the loss of indigenous forest or the clearing of plantations and woody alien invasives. …”
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