Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...

This repository contains a Python implementation for uncertainty quantification in binary classification models, focusing on post-hoc calibration methods. The implementation includes techniques such ...

Rice straw pulping is a key process in pulp molding (Wang, 2022). The fibrillation of rice straw directly affects the quality of rice straw pulp. A twin-screw crushing device is typically used to ...

Abstract: Hand-eye calibration plays a fundamental role in robotics by directly influencing the efficiency of critical operations such as manipulation and grasping. In this work, we present a novel ...

Objectives: Hip dislocation is a critical clinical emergency that demands immediate intervention to prevent complications such as avascular necrosis, nerve damage, and long-term joint dysfunction. As ...