A survey of visual analytics for Explainable Artificial Intelligence methods
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“A survey of visual analytics techniques covered the XAI adoption for interpreting DL models [22].”
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A survey on explainable artificial intelligence for cybersecurity
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A survey of post-hoc xai methods from a visualization perspective: Challenges and opportunities
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- Authors
- Alicioglu, G., & Sun, B.
- Affiliations
- Rowan University (US)
- Venue
- Computers & Graphics
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 102
- Pages
- 502-520
- ISSN
- 0097-8493 (ISSN-L)
- OpenAlex
- W3199384803
- Cited by
- 221
- References
- 115
- Citations by year
- 2026: 20 · 2025: 56 · 2024: 68 · 2023: 54 · 2022: 22 · 2021: 1
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computers & Graphics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Keywords
- visual analytics, explainable AI, deep learning interpretability, model visualization, black-box models, neural network interpretation, explainable deep learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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