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IEEE Transactions on Artificial Intelligence is a peer-reviewed journal published by IEEE, covering Big Data and Digital Economy, Adversarial Robustness in Machine Learning, Advanced Neural Network Applications. Over its lifetime it has published 1,752 papers, which have received 18,875 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Artificial Intelligence, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Artificial Intelligence style. No sign-up. |
| Publishes research in | Big Data and Digital Economy Adversarial Robustness in Machine Learning Advanced Neural Network Applications Neural Networks and Applications Domain Adaptation and Few-Shot Learning |
| ISSN | 2691-4581 |
| Citation impact (2-yr) | 4.17 |
| h-index | 58 |
| i10-index | 483 |
| Top institutions publishing here | South China University of Technology |
| Journal website | cis.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Transfer learning (TL) has been successfully applied to many real-world problems that traditional machine learning (ML) cannot handle, such as image processing, speech recognition, and natural language processing (NLP). Commonly, TL tends to address three main problems of traditional machine learning: (1) insufficient labeled data, (2) incompatible computation power, and (3) distribution mismatch. In general,…
Graphs are widely used as a popular representation of the network structure of connected data. Graph data can be found in a broad spectrum of application domains such as social systems, ecosystems, biological networks, knowledge graphs, and information systems. With the continuous penetration of artificial intelligence technologies, graph learning (i.e., machine learning on graphs) is…
Artificial intelligence (AI) has profoundly changed and will continue to change our lives. AI is being applied in more and more fields and scenarios such as autonomous driving, medical care, media, finance, industrial robots, and internet services. The widespread application of AI and its deep integration with the economy and society have improved efficiency and…
Clustering is a machine learning paradigm of dividing sample subjects into a number of groups such that subjects in the same groups are more similar to those in other groups. With advances in information acquisition technologies, samples can frequently be viewed from different angles or in different modalities, generating multiview data. Multiview clustering (MVC), that…
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020, more than 21 million people have tested positive worldwide. Infections have been growing rapidly and tremendous efforts are being made to fight the disease. In this paper, we attempt to…
