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Volume 310: Reliable and Trustworthy Artificial Intelligence, 12 December 2025, Multiple
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Editors: Hoang D. Nguyen, Duc-Trong Le, Johanna Björklund, Xuan-Son Vu
Reinforcement Learning in Online Advertising: Challenges, Prospects, and Trust
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:1-10
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AIQTrees: A Drone Imagery Dataset for Tree Segmentation
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:11-18
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Bridging Human Cognition and AI: Enhancing Transparency and Explainability with Hierarchical Conceptual Graphs and the Knowing Protocol
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:19-23
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A lightweight and reliable framework toward real-time student engagement predictions in learning analytics
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:24-33
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Trustworthiness in Multi-Agent UAV Systems: A Scoping Review
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:34-44
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Comparing Genetic Algorithms and Principal Component Analysis in Reducing Feature Dimensionality
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:45-58
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Reliable Cultural Knowledge Preservation in Multilingual LLMs through Model Merging
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:59-66
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Recurrence Analysis of Integrally Private Support Vector Machine
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:67-72
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Reliable-Data-Split (RDS): Maximizing Model Potential with Reinforced Selection Strategy
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:73-89
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Improving Continual Learning Robustness in Medical Imaging via Illumination Adaptive Transformer
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:90-101
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Towards a SAFETY-AI framework for Healthcare Education
; Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:102-114
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