240 citations · 274 across the 20 of their papers we have counts for
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An Empirical Study of Machine Learning Robustness and Scalability for Imbalanced Tabular Clinical Data in Emergency and Critical Care
Yusuf Brima, Marcellin Atemkeng
Every year, millions of patients pass through emergency departments and intensive care units, where clinicians must make high-stakes decisions under time pressure and uncertainty.…
Clustering-Based Low-Rank Matrix Approximation for Medical Image Compression
Sisipho Hamlomo, Marcellin Atemkeng
Medical images are inherently high-resolution and contain locally varying structures crucial for diagnosis. Efficient compression must preserve diagnostic fidelity while minimizing…
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…