HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
- DOI
- 10.1111/cgf.14726
- Published
- 2022-12-27
- Container
- Computer Graphics Forum
- Publisher
- Wiley
- Open access
- unknown
Credibility signals
uncertain Score 64/100 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.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1111/cgf.14726,
title = {HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques},
author = {A. Chatzimparmpas and F. V. Paulovich and A. Kerren},
year = {2022},
journal = {Computer Graphics Forum},
doi = {10.1111/cgf.14726},
url = {https://doi.org/10.1111/cgf.14726}
}RIS
TY - JOUR TI - HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques AU - A. Chatzimparmpas AU - F. V. Paulovich AU - A. Kerren PY - 2022 JO - Computer Graphics Forum DO - 10.1111/cgf.14726 UR - https://doi.org/10.1111/cgf.14726 ER -
APA
Chatzimparmpas, A., Paulovich, F. V., & Kerren, A. (2022). HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques. Computer Graphics Forum. https://doi.org/10.1111/cgf.14726
Source records
- crossref · retrieved 2026-09-24T23:25:37.101Z