34 citations · 85 across the 8 of their papers we have counts for
8 papers
GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data
Ningtao Liu, Ruoxi Gao, Jing Yuan +3
Electronic health records (EHRs) are usually highly dimensional, heterogeneous, and multimodal. Besides, the random recording of clinical variables results in high missing rates an…
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals
Yu Sha, Johannes Faber, Shuiping Gou +9
With the rapid development of smart manufacturing, data-driven machinery health management has received a growing attention. As one of the most popular methods in machinery health…
Adaptively Enhancing Facial Expression Crucial Regions via Local Non-Local Joint Network
Guanghui Shi, Shasha Mao, Shuiping Gou +3
Facial expression recognition (FER) is still one challenging research due to the small inter-class discrepancy in the facial expression data. In view of the significance of facial…
SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network
Yu Sha, Johannes Faber, Shuiping Gou +9
With the rapid development of smart manufacturing, data-driven machinery health management has been of growing attention. In situations where some classes are more difficult to be…
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering
Yu Sha, Johannes Faber, Shuiping Gou +9
Valves are widely used in industrial and domestic pipeline systems. However, during their operation, they may suffer from the occurrence of the cavitation, which can cause loud noi…
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space
Yu Sha, Johannes Faber, Shuiping Gou +9
Anomalous sound detection (ASD) is one of the most significant tasks of mechanical equipment monitoring and maintaining in complex industrial systems. In practice, it is vital to p…
Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition
Shasha Mao, Guanghui Shi, Licheng Jiao +4
By utilizing label distribution learning, a probability distribution is assigned for a facial image to express a compound emotion, which effectively improves the problem of label u…
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach
Wenshuai Chen, Shuiping Gou, Xinlin Wang +3
Existing polarimetric synthetic aperture radar (PolSAR) image classification methods cannot achieve satisfactory performance on complex scenes characterized by several types of lan…