Geographic Bias Analysis and Cross-Domain Generalization in Deep Learning-Based Building Damage Assessment
- DOI
- 10.20944/preprints202603.2114.v1
- Published
- 2026-03-26
- Container
- Not recorded
- Publisher
- MDPI AG
- Open access
- unknown
Credibility signals
uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.20944/preprints202603.2114.v1,
title = {Geographic Bias Analysis and Cross-Domain Generalization in Deep Learning-Based Building Damage Assessment},
author = {Shruti Kshirsagar and Bharath Chandra and Unaza Tallal and Rajiv Bagai and Atri Dutta},
year = {2026},
doi = {10.20944/preprints202603.2114.v1},
url = {https://doi.org/10.20944/preprints202603.2114.v1}
}RIS
TY - JOUR TI - Geographic Bias Analysis and Cross-Domain Generalization in Deep Learning-Based Building Damage Assessment AU - Shruti Kshirsagar AU - Bharath Chandra AU - Unaza Tallal AU - Rajiv Bagai AU - Atri Dutta PY - 2026 DO - 10.20944/preprints202603.2114.v1 UR - https://doi.org/10.20944/preprints202603.2114.v1 ER -
APA
Kshirsagar, S., Chandra, B., Tallal, U., Bagai, R., & Dutta, A. (2026). Geographic Bias Analysis and Cross-Domain Generalization in Deep Learning-Based Building Damage Assessment. https://doi.org/10.20944/preprints202603.2114.v1
Source records
- crossref · retrieved 2026-11-10T11:29:29.959Z