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Overview

The journal publishes high-quality articles in areas of fundamental research in pattern recognition, machine learning, and their applications in medicine, science, and engineering. The presented research should be analytically and experimentally well tested. In particular, it is essential to verify the quality of the proposed method correctly and compare it with state-of-the-art methods. It is also necessary to ensure that the methods are compared under precisely the same conditions. Thus, all articles should follow the replicable research principle, i.e., the ability for other researchers to repeat the experiment using the same methods and obtain similar results. This ensures the validity and reliability of the original findings. Therefore, providing access to the programming code (e.g., via GitHub) and the data used during the experiments is mandatory.

Editor-in-Chief
  • Michal Wozniak
Deputy Editor-in-Chief
  • Dragos Calitoiu

Journal metrics

Journal Impact Factor
2.0 (2024)
5-year Journal Impact Factor
2.1 (2024)
Submission to first decision (median)
1 day
Downloads
261.8k (2025)

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Journal information

Electronic ISSN
1433-755X
Print ISSN
1433-7541
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. Chinese Academy of Medical Science (CAMS)
  9. Current Contents/Engineering, Computing and Technology
  10. DBLP
  11. Dimensions
  12. EBSCO
  13. Google Scholar
  14. Japanese Science and Technology Agency (JST)
  15. Naver
  16. Norwegian Register for Scientific Journals and Series
  17. OCLC WorldCat Discovery Service
  18. Ovid Discovery
  19. Portico
  20. ProQuest
  21. SCImago
  22. SCOPUS
  23. Science Citation Index Expanded (SCIE)
  24. TD Net Discovery Service
  25. Wanfang
  26. eLibrary.ru
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