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Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques

Yu-Cheng Lin et al.

International Journal of Accounting Information Systems2025https://doi.org/10.1016/j.accinf.2025.100744article
AJG 2ABDC A
Weight
0.57

Abstract

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11 citations

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https://doi.org/https://doi.org/10.1016/j.accinf.2025.100744

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@article{yu-cheng2025,
  title        = {{Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques}},
  author       = {Yu-Cheng Lin et al.},
  journal      = {International Journal of Accounting Information Systems},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.accinf.2025.100744},
}

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Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques

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Evidence weight

0.57

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.57 × 0.4 = 0.23
M · momentum0.78 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.