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Efficient Feature Selection for Static Analysis Vulnerability Prediction

Research article (Sensors, 2021) · cited 27× · AI/ML
academia openalex:W3128658155
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Efficient Feature Selection for Static Analysis Vulnerability Prediction

Summary

Efficient Feature Selection for Static Analysis Vulnerability Prediction is a scholarly article[1].

Key Facts

  • Efficient Feature Selection for Static Analysis Vulnerability Prediction's instance of is recorded as scholarly article[2].

Related Entities

Erol Gelenbe

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Efficient Feature Selection for Static Analysis Vulnerability Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-feature-selection-for-static-analysis-vulnerability-prediction
MLA “Efficient Feature Selection for Static Analysis Vulnerability Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-feature-selection-for-static-analysis-vulnerability-prediction.
BibTeX @misc{4ortxyz_efficient-feature-selection-for-static-analysis-vulnerability-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Feature Selection for Static Analysis Vulnerability Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-feature-selection-for-static-analysis-vulnerability-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient Feature Selection for Static Analysis Vulnerability Prediction — https://4ort.xyz/entity/efficient-feature-selection-for-static-analysis-vulnerability-prediction (retrieved 2026-05-24)

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