| Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation | Jan 13, 2024 | MisinformationUncertainty Quantification | —Unverified | 0 | 0 |
| Combining Statistical Depth and Fermat Distance for Uncertainty Quantification | Apr 12, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring | Apr 12, 2023 | Decision MakingPredictive Process Monitoring | —Unverified | 0 | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 | 0 |
| Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression | Nov 11, 2022 | regressionTime Series | —Unverified | 0 | 0 |
| Complementing Semi-Supervised Learning with Uncertainty Quantification | Jul 22, 2022 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Compressed particle methods for expensive models with application in Astronomy and Remote Sensing | Jul 18, 2021 | AstronomyBayesian Inference | —Unverified | 0 | 0 |
| Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century | Jan 22, 2025 | DiagnosticUncertainty Quantification | —Unverified | 0 | 0 |
| Computing High-dimensional Confidence Sets for Arbitrary Distributions | Apr 3, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks | Dec 21, 2024 | SensitivityUncertainty Quantification | —Unverified | 0 | 0 |
