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Frontiers in Artificial Intelligence|October 17, 2026
Cost-sensitive random forest with adaptive threshold optimization for imbalanced financial fraud detectionJafar Ali, Rahman Shafique, Daniel Gavilanes, et al.
Frontiers in Artificial Intelligence|October 17, 2026
Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learningHafiz Aziz Khan, Sonia Akter, Abdur Rahman Lindon, et al.
Frontiers in Artificial Intelligence|October 22, 2026
scTIME: single-cell-informed interpretable modeling of immunotherapy-associated immune states in non-small cell lung cancerGuozhi Chen, Chenqiu You, Hong Gao, et al.
Frontiers in Artificial Intelligence|October 22, 2026
AI-assisted peer review: efficiency for reviewers, burden for authors-a narrative reviewAsaad Ma Babker
Frontiers in Artificial Intelligence|October 22, 2026
R-GCRED: a retrieval-grounded and calibrated risk estimation for depression prediction and screening recommendation frameworkFiras Saidi, Marwa Almulla
Frontiers in Artificial Intelligence|October 22, 2026
Analysis and generation of motion profiles from positive and negative human actionsAlessio Russo, Alessio Saccuti, Eleonora Iotti, et al.
Frontiers in Artificial Intelligence|October 24, 2026
CyberShield analytics: SHAP-guided stacking ensembles for organizational risk resilienceSadiya Chowdhury, Abdullah Al Imtihan
Frontiers in Artificial Intelligence|October 24, 2026
Transformer models in cardiovascular medicine: current applications, translational challenges, and future directionsYang Yan, Gaoxiang Li, Taiwei Chen, et al.
Frontiers in Artificial Intelligence|October 24, 2026
The dashboard says "perfect:" a systematic audit of label-free model monitoring and test-time adaptation under temporal distribution shift in network intrusion detectionWali Ahmed, Md Azizul Rahaman, Pappu Roy, et al.
Frontiers in Artificial Intelligence|October 27, 2026
Designing robot-to-robot interaction to support early-stage engagement in a teleoperated Robot Avatar system with multiple robotsKiichiro Suemitsu, Midori Ban, Hideyuki Takahashi, et al.
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