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IJML 2026

Performance of Deep Neural Network for Tabular Data — A Case Study of Loss Cost Prediction in Fire Insurance

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"Performance of Deep Neural Network for Tabular Data — A Case Study of Loss Cost Prediction in Fire Insurance," International Journal of Machine Learning, 2026.

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Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD



Copyright©2011-2026. International Journal of Machine Learning. Unless otherwise stated.

E-mail: editor@ijml.org