A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: Deep learning models deployed in resource-constrained and safety-critical settings must be not only compact and accurate but also trustworthy and capable of expressing predictive uncertainty ...
Abstract: Superpixels facilitate image complexity reduction by over-segmenting it into compact atomic regions that align with object boundaries. However, most superpixel segmentation algorithms ...
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