22 citations · 34 across the 13 of their papers we have counts for
14 papers
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1
Energy consumption is one of the largest operational expenditure items for mobile network operators, yet site-level energy inefficiencies such as faulty cooling controllers, idle r…
On the link between generative semi-supervised learning and generative open-set recognition
Emile Reyn Engelbrecht, Johan du Preez
This study investigates the relationship between semi-supervised learning (SSL, which is training off partially labelled datasets) and open-set recognition (OSR, which is classific…
Soft-Output Signal Detection for Cetacean Vocalizations Using Spectral Entropy, K-Means Clustering and the Continuous Wavelet Transform
Marco W. Rademan, Daniel J. Versfeld, Johan A. du Preez
Underwater acoustic monitoring systems record many hours of audio data for marine research, making fast and reliable non-causal signal detection paramount. Such detectors assist in…
Rail break and derailment prediction using Probabilistic Graphical Modelling
Rebecca M. C. Taylor, Johan A. du Preez
Rail breaks are one of the most common causes of derailments internationally. This is no different for the South African Iron Ore line. Many rail breaks occur as a heavy-haul train…
SimLDA: A tool for topic model evaluation
Rebecca M. C. Taylor, Johan A. du Preez
Variational Bayes (VB) applied to latent Dirichlet allocation (LDA) has become the most popular algorithm for aspect modeling. While sufficiently successful in text topic extractio…
A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery
Werner van der Merwe, Herman Kamper, Johan du Preez
Latent Dirichlet allocation (LDA) is widely used for unsupervised topic modelling on sets of documents. No temporal information is used in the model. However, there is often a rela…