ROC-AUC evaluates how well the model separates patients with diabetes from those without across the full range of predicted probabilities. It is threshold‑independent, making it a strong choice for ...
Abstract: Capturing cross-pose correlation from a sequence of frame-level 2D poses is essential for 3D human pose estimation (3D-HPE) in the video. Recent studies have shown the promising potential of ...
Abstract: This tutorial explores the class of non-parametric time series basis decomposition methods particularly suited for nonstationary time series known as Empirical Mode Decomposition (EMD). In ...
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