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Peer-reviewedCC BYFrontiers in artificial intelligence

Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning

4 affiliations
  1. 1Department of Information Technology, Washington University of Science and Technology , , ,
  2. 2Department of Business Analytics, Mercy University , , ,
  3. 3St. Francis College , , ,
  4. 4Department of Information Systems Security, University of the Cumberlands , , ,

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BibTeX
@article{khan2026explainable,
  title = {{Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning}},
  author = {Hafiz Aziz Khan and Sonia Akter and Abdur Rahman Lindon and Taslima Akter and Iftekhar Rasul and Mamunur Rahman and Nasrin Akter Tohfa and Iftekhar Hossain},
  journal = {Frontiers in artificial intelligence},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13672667},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning
AU  - Hafiz Aziz Khan
AU  - Sonia Akter
AU  - Abdur Rahman Lindon
AU  - Taslima Akter
AU  - Iftekhar Rasul
AU  - Mamunur Rahman
AU  - Nasrin Akter Tohfa
AU  - Iftekhar Hossain
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in artificial intelligence
UR  - https://europepmc.org/article/PMC/PMC13672667
SN  - 2624-8212
ER  -