![]() ![]() In this regard, researchers have proposed different UQ methods and examined their performance in a variety of applications such as computer vision (e.g., self-driving cars and object detection), image processing (e.g., image restoration), medical image analysis (e.g., medical image classification and segmentation), natural language processing (e.g., text classification, social media texts and recidivism risk-scoring), bioinformatics, etc. ![]() Bayesian approximation and ensemble learning techniques are two widely-used types of uncertainty quantification (UQ) methods. They have been applied to solve a variety of real-world problems in science and engineering. Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes. ![]()
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