Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups

Ebtisam AlJalaud, Manar Hosny

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DOI: 10.3390/math12233727
Published: 11
Container: Mathematics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/math12233727,
  title = {Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups},
  author = {Ebtisam AlJalaud and Manar Hosny},
  year = {2024},
  journal = {Mathematics},
  doi = {10.3390/math12233727},
  url = {https://doi.org/10.3390/math12233727}
}

RIS

TY  - JOUR
TI  - Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups
AU  - Ebtisam AlJalaud
AU  - Manar Hosny
PY  - 2024
JO  - Mathematics
DO  - 10.3390/math12233727
UR  - https://doi.org/10.3390/math12233727
ER  -

APA

AlJalaud, E., & Hosny, M. (2024). Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups. Mathematics. https://doi.org/10.3390/math12233727

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doaj · retrieved 2026-11-10T10:14:02.012Z