The cucumber fruits have the same color with leaves and their shapes are all long and
narrow, which is different from other common fruits, such as apples, tomatoes, and …

Machine learning (ML) has become an important paradigm for cyberthreat detection (CTD)
in the recent years. A substantial research effort has been invested in the development of …

Conventional copy-move forgery detection methods mostly make use of hand-crafted
features to conduct feature extraction and patch matching. However, the discriminative …

Wind power forecasting plays a significant role to ensure the safe operation of power
systems. However, due to the stochastic nature and dynamic uncertainty of wind power …

Data labelling is commonly an expensive process that requires expert handling. In multi-
label data, data labelling is further complicated owing to the experts must label several times …

The point process is a solid framework to model sequential data, such as videos, by
exploring the underlying relevance. As a challenging problem for high-level video …

Many predictive tasks require labeled data to induce classification models. The data labeling
process may have a high cost. Several strategies have been proposed to optimize the …

Typically in practical applications, the learning performance of a model is inclined to be
jeopardized by the inadequacy of labeled instances and the unbalance within various …

Automatic defect detection is a critical task in the industrial production process. At present,
many detection methods based on deep learning have been successfully applied in …

Automated ultrasonic signal classification systems are often utilized for the recognition of a
large number of ultrasonic signals in engineering materials. Existing defect classification …