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Active learning has achieved great success in image classification because of selecting the most informative samples for data labeling and model training. However, the potential of active learning has been far from being realised in object ...

The human brain is the most complex system in the human body, and understanding and treating brain-related diseases has always been a challenge for medical professionals. Recent research suggests that attention deficit hyperactivity disorder (ADHD)...

Recently, in order to improve the naturalness and similarity of speaker features after voice conversion while retaining most of the speaker content, research on voice conversion under non-parallel text conditions has made great progress. This ...

Ethereum has many transaction security issues such as Ponzi schemes, which are hidden in a large number of smart contracts. And they are difficult to be detected. Therefore, we propose a novel multi-granularity multi-scale convolutional neural ...

Brain connectivity network can effectively express the physical connection between the real brain characteristic areas, the brain combined functional connection and the real signal characteristics. Brain connectivity networks are usually compact ...

Dempster-Shafer evidence theory (D-S theory) is applied to process uncertain information in different scenarios. However, traditional Dempster combination rule may produce counterintuitive results while dealing with highly conflicting data. ...

Literature data are often visualized as collaboration networks to show the connection between researchers. However, the static networks barely transfer much information when the dataset including temporal variable. In this paper, we propose an ...