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Frontiers in Artificial Intelligence|May 29, 2026
EcoStack-Pro: an adaptive federated learning framework for interpretable ESG auditing across heterogeneous industrial sectorsMd Abul Kalam Azad, Abdul Kadar Muhammad Masum, Md Abdur Rahman, et al.
Frontiers in Artificial Intelligence|May 25, 2026
Learning instance-specific counterfactual models for continuous treatments using hypernetworksRoger Pros, Jordi Vitrià
Frontiers in Artificial Intelligence|May 25, 2026
Neuro-symbolic reasoning engine for tax optimisationKarthika Veeramani, Allen Joseph N, Pavithran M
Frontiers in Artificial Intelligence|May 25, 2026
Language-based personality assessment from life narratives: a focus on model interpretability and efficiencyRasiq Hussain, Zerui Ma, Ritik Khandelwal, et al.
Frontiers in Artificial Intelligence|May 20, 2026
A lightweight region of interest-level adjudication framework with hard-negative mining and confidence-aware fusion for pediatric fracture detectionC V Aravinda, Noushath Shaffi, Vimbi Viswan, et al.
Frontiers in Artificial Intelligence|May 15, 2026
An explainable machine learning framework for cardiovascular risk prediction using structured health dataValeru Vision Paul, Jafar Ali Ibrahim Syed Masood
Frontiers in Artificial Intelligence|March 16, 2026
Computational hermeneutics: evaluating generative AI as a cultural technologyCody Kommers, Ruth Ahnert, Maria Antoniak, et al.
Frontiers in Artificial Intelligence|March 16, 2026
Classification of Lupinus seeds into sweet and bitter categories using VIS-NIR spectroscopy and machine learningJosefa Díaz-Álvarez, Francisco A Galea-Gragera, Francisco Chávez de la O, et al.
Frontiers in Artificial Intelligence|March 9, 2026
Generalization bounds for a generator-regularized InfoGAN-inspired adversarial objectiveMahmud Hasan, Mathias Nthiani Muia, Md Mahmudul Islam
Frontiers in Artificial Intelligence|March 2, 2026
Large language models as cognitive shortcuts: a systems-theoretic reframing beyond bullshitMurat Sariyar
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