2 papers
cs.LG2025
Unsupervised anomaly detection in large-scale estuarine acoustic telemetry data
Siphendulwe Zaza, Marcellin Atemkeng, Taryn S. Murray +2
Acoustic telemetry data plays a vital role in understanding the behaviour and movement of aquatic animals. However, these datasets, which often consist of millions of individual da…
stat.AP2023
Wine feature importance and quality prediction: A comparative study of machine learning algorithms with unbalanced data
Siphendulwe Zaza, Marcellin Atemkeng, Sisipho Hamlomo
Classifying wine as "good" is a challenging task due to the absence of a clear criterion. Nevertheless, an accurate prediction of wine quality can be valuable in the certification…