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| Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) | Nov 29, 2022 | Transfer LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness | Jul 5, 2023 | Adversarial RobustnessLearning Theory | —Unverified | 0 | 0 |
| Tree of Uncertain Thoughts Reasoning for Large Language Models | Sep 14, 2023 | Decision MakingResponse Generation | —Unverified | 0 | 0 |
| TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification | Jul 9, 2024 | Conformal Predictionfeature selection | —Unverified | 0 | 0 |
| Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification | Sep 19, 2024 | Decision MakingDiagnostic | —Unverified | 0 | 0 |
| Trustworthy AI Must Account for Intersectionality | Apr 9, 2025 | FairnessPosition | —Unverified | 0 | 0 |
| Trustworthy Artificial Intelligence in the Context of Metrology | Jun 14, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis | Oct 5, 2022 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 | 0 |
| Multi-modal MRI Translation via Evidential Regression and Distribution Calibration | Jul 10, 2024 | Diagnosticregression | —Unverified | 0 | 0 |
