Effects of mixed sample data augmentation on interpretability of neural networks.
- DOI
- 10.1016/j.neunet.2025.107611
- Published
- 2025 Oct
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.107611,
title = {Effects of mixed sample data augmentation on interpretability of neural networks.},
author = {Won S and Bae SH and Kim ST},
year = {2025},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2025.107611},
url = {https://doi.org/10.1016/j.neunet.2025.107611}
}RIS
TY - JOUR TI - Effects of mixed sample data augmentation on interpretability of neural networks. AU - Won S AU - Bae SH AU - Kim ST PY - 2025 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2025.107611 UR - https://doi.org/10.1016/j.neunet.2025.107611 ER -
APA
S, W., SH, B., & ST, K. (2025). Effects of mixed sample data augmentation on interpretability of neural networks.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.107611
Source records
- pubmed · retrieved 2026-09-26T10:11:47.906Z