A Novel Framework Using Deep Auto-Encoders Based Linear Model for Data Classification.

Karim AM, Kaya H, Güzel MS, Tolun MR, Çelebi FV, Mishra A

DOI: 10.3390/s20216378
Published: 2020 Nov 9
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3390/s20216378,
  title = {A Novel Framework Using Deep Auto-Encoders Based Linear Model for Data Classification.},
  author = {Karim AM and Kaya H and Güzel MS and Tolun MR and Çelebi FV and Mishra A},
  year = {2020},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s20216378},
  url = {https://doi.org/10.3390/s20216378}
}

RIS

TY  - JOUR
TI  - A Novel Framework Using Deep Auto-Encoders Based Linear Model for Data Classification.
AU  - Karim AM
AU  - Kaya H
AU  - Güzel MS
AU  - Tolun MR
AU  - Çelebi FV
AU  - Mishra A
PY  - 2020
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s20216378
UR  - https://doi.org/10.3390/s20216378
ER  -

APA

AM, K., H, K., MS, G., MR, T., FV, Ç., & A, M. (2020). A Novel Framework Using Deep Auto-Encoders Based Linear Model for Data Classification.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s20216378

Source records

pubmed · retrieved 2026-11-10T07:13:07.174Z