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Frontiers in Artificial Intelligence|September 9, 2024
AttentionTTE: a deep learning model for estimated time of arrivalMu Li, Yijun Feng, Xiangdong WuFrontiers in Artificial Intelligence|June 5, 2023
Evaluating and selecting arguments in the context of higher order uncertaintyChristian Straßer, Lisa MichajlovaFrontiers in Artificial Intelligence|June 7, 2023
A case study for unlocking the potential of deep learning in asset-liability-managementThomas Krabichler, Josef TeichmannFrontiers in Artificial Intelligence|May 30, 2023
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strongJannis Blüml, Johannes Czech, Kristian KerstingFrontiers in Artificial Intelligence|February 20, 2026
An auditable and source-verified framework for clinical AI decision support: integrating retrieval-augmented generation with data provenanceFidelis Fidelis Alu, Sunkanmi OluwadareFrontiers in Artificial Intelligence|March 2, 2026
A review of optimization strategies for deep and machine learning in diabetic macular edemaA M Mutawa, Khalid Sabti, Bibin Shalini Sundaram Thankaleela, et al.Frontiers in Artificial Intelligence|March 2, 2026
Free will as structured unpredictability: toward a symbiotic human-AI relationshipMory Ghomshei, Karim C AbbaspourFrontiers in Artificial Intelligence|March 5, 2026
An efficient strategy for fine-tuning large language modelsBenjamin Marsh, Adam Michaleas, Darrell O Ricke, et al.Frontiers in Artificial Intelligence|February 27, 2026
The association between national culture and AI readiness: a cross-national studyKumiko Komatsu, Nina Ždanovič, Masaki Yamabe, et al.Frontiers in Artificial Intelligence|March 2, 2026
Improving reliability and accuracy of structured data extraction using a consensus large-language model approach-a use case description in multiple sclerosisPhilip Lennart Poser, Rafael Klimas, Justus Luerweg, et al.Pageof 252