Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Abstract: Pedestrian trajectory prediction aims to forecast future movements based on historical paths. Spatial-temporal (ST) methods often separately model spatial interactions among pedestrians and ...

Abstract: In hyperspectral image (HSI) classification tasks, extracting surface features is crucial, but the complexity of HSI brings considerable challenges. Traditional convolutional neural networks ...