Multiple Knowledge Representation of Artificial Intelligence

By Yunhe Pan. 2020

37 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Matteo Boschini
2. Simone Calderara
3. Lorenzo Bonicelli
4. Angelo Porrello
5. Pietro Buzzega
6. Yueting Zhuang
7. Yi Yang
8. Yunhe Pan

In Information Systems and Management

1. Yueting Zhuang
2. Yi Yang

Citations in the corpus

• Continual semi-supervised learning through contrastive interpolation consistency (2021, background): “This can be seen as a form of Multi-Knowledge Representation [31] through the application of descriptive knowledge; on the other hand, our proposal remains open for further enrichment if additional knowledge on the target task were available [32].”
• Multiple knowledge representation for big data artificial intelligence: framework, applications, and case studies (2021, methodology): “To comprehensively understand a concept, humans tend to combine multiple knowledge (Pan, 2020b) including intuitive perception, cognition, highly abstract knowledge, and logic.”