Co‐training algorithm is one of the main methods of semi‐supervised learning in machine
learning, which explores the effective information in unlabeled data by multi‐learner …

The advent of deep learning has brought a revolutionary transformation to image denoising
techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised …

Fluoxetine (FLX), an emerging pollutant, has been detected in the sewage and excess
sludge (ES) at substantial levels. So far, however, the impacts of FLX on the ES anaerobic …

Abstract Item Response Theory (IRT) models aim to assess latent abilities of $ n $
examinees along with latent difficulty characteristics of $ m $ test items from categorical data …

In recent years, with the continuous breakthrough of computer vision technology, the
accuracy of object detection and target recognition has been improved by leaps and …

Image quality assessment is to simulate subjective human visual perception and realize
image quality inference automatically. Although deep neural networks have achieved great …

The evaluation of machine learning systems has typically been limited to performance
measures on clean and curated datasets, which may not accurately reflect their robustness …

Automatic determination of manufacturing process sequences for the physical production of
given part designs is key to facilitate on-demand cyber manufacturing. In this work, we …

Among the main fault locations of wind turbines, downtime accidents caused by bearing
faults account for the majority. Therefore, it is of practical significance to detect the fault …

One of challenges of artificial intelligence as a whole is robustness. Many issues such as
adversarial examples, out of distribution performance, Clever Hans phenomena, and the …