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Artificial Intelligence Review

An International Science and Engineering Journal

1997 - 2026
Volumes
214
Issues
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Issue 4/2026
Latest issue

Artificial Intelligence Review OnlineFirst articles

Systematic literature review of multi-objective hyper-heuristics: a human-in-the-loop large language model methodology

  • Open Access

Beyond the black box: lessons in explainability from AI in mammography

  • Open Access

Graph neural networks for anomaly detection: a systematic review of dynamic temporal approaches

  • Open Access

A survey on multimodal learning for industrial diagnostics: a data dimensionality perspective

  • Open Access

Intelligent traffic signal control based on reinforcement learning: a survey

  • Open Access

A survey of privacy-preserving federated learning for intrusion detection systems

  • Open Access

A unified framework for training deep neural networks with better generalization via self-ensemble label correction

  • Open Access

A systematic review of Green Machine Learning: practices and challenges for sustainability

  • Open Access

Artificial neural networks fighting real neural decline: a systematic review of AI in Alzheimer’s research

  • Open Access

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About this journal

Artificial Intelligence Review publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms in artificial intelligence, cognitive science and related disciplines. It serves as a forum for the work of researchers and application developers from these fields.

Artificial Intelligence Review also presents refereed survey and tutorial articles, as well as reviews and commentary on significant developments.

Title
Artificial Intelligence Review
Coverage
Volume 11/1997 - Volume 59/2026
Publisher
Springer Netherlands
Electronic ISSN
1573-7462
Print ISSN
0269-2821
Journal ID
10462
DOI
https://doi.org/10.1007/10462.1573-7462

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