| A Bulirsch-Stoer algorithm using Gaussian processes | May 23, 2019 | Gaussian ProcessesGPR | —Unverified | 0 |
| Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring | Apr 12, 2023 | Decision MakingPredictive Process Monitoring | —Unverified | 0 |
| A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers | Jun 24, 2025 | Autonomous DrivingMedical Diagnosis | —Unverified | 0 |
| Are vision language models robust to uncertain inputs? | May 17, 2025 | Anomaly DetectionMorphology classification | —Unverified | 0 |
| Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control | Sep 21, 2019 | Autonomous DrivingBayesian Inference | —Unverified | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods | Oct 9, 2023 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 |
| A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges | Nov 12, 2020 | Decision MakingEnsemble Learning | —Unverified | 0 |
| A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images | Feb 10, 2025 | Data AugmentationSegmentation | —Unverified | 0 |
| A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises | Aug 2, 2020 | Deep LearningSurvey | —Unverified | 0 |
