Abstract: This paper presents a comprehensive evaluation of the Multi-Layer Perceptron (MLP) and ensemble learning classifiers, including Random Forest, GBM (Gradient Boosting Machine) and XGBoost, ...
Abstract: This study evaluates the effectiveness of a novel ensemble transfer learning (TL) method for tuberculosis (TB) detection. We employed the recently introduced ConvNeXt convolutional-based ...
Currently (due to historic reasons) PIPT unnassarily relies on file IO which is slow and ineffcient. When we run an ML proxy we can parallell process the full ensemble on GPU while keeping all results ...
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