Shapley value optimized differentiable architecture search for lightweight neural networks in resource-constrained environments.
- DOI
- 10.1016/j.neunet.2026.108848
- Published
- 2026 Aug
- 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.2026.108848,
title = {Shapley value optimized differentiable architecture search for lightweight neural networks in resource-constrained environments.},
author = {Li H and Ye Y and Ding Z and Lu Q and Zhu W and Zhang Z and Dong C},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.108848},
url = {https://doi.org/10.1016/j.neunet.2026.108848}
}RIS
TY - JOUR TI - Shapley value optimized differentiable architecture search for lightweight neural networks in resource-constrained environments. AU - Li H AU - Ye Y AU - Ding Z AU - Lu Q AU - Zhu W AU - Zhang Z AU - Dong C PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.108848 UR - https://doi.org/10.1016/j.neunet.2026.108848 ER -
APA
H, L., Y, Y., Z, D., Q, L., W, Z., Z, Z., & C, D. (2026). Shapley value optimized differentiable architecture search for lightweight neural networks in resource-constrained environments.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.108848
Source records
- pubmed · retrieved 2026-09-26T04:48:51.997Z