Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Cited by (1,004)

Items 301–400 of 1,004

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12. Sources of Uncertainty in Supervised Machine Learning—a Statisticians’ View
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14. Upper Bounds of Uncertainty for Dempster Combination Rule-Based Evidence Fusion Systems
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17. Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimics
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18. Machine learning interatomic potentials at the centennial crossroads of quantum mechanics
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19. Direct quantification of epistemic and aleatoric uncertainty in 3D U-net segmentation
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25. Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces
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26. Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting
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29. Plant science in the age of simulation intelligence
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30. Anomaly Detection Methods in Autonomous Robotic Missions
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33. Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
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34. Epistemic uncertainty challenges aging clock reliability in predicting rejuvenation effects
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36. Virtual Modelling Framework-Based Inverse Study for the Mechanical Metamaterials with Material Nonlinearity
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37. Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
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38. Uncertainty-Aware Machine Translation Evaluation
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40. Quantifying Uncertainty with Conformal Prediction for Heating and Cooling Load Forecasting in Building Performance Simulation
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41. Recent advances in mechanism/data-driven fault diagnosis of complex engineering systems with uncertainties
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42. Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification
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43. A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification
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44. Towards the uncertainty quantification of semi-empirical formulas applied to the added resistance of ships in waves of arbitrary heading
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45. Prediction-Uncertainty-Aware Threat Detection for ADAS: A Case Study on Lane-Keeping Assistance
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46. FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
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47. Thermal Earth model for the conterminous United States using an interpolative physics-informed graph neural network
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48. Enhancing the reliability of deep learning-based head and neck tumour segmentation using uncertainty estimation with multi-modal images
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49. Ensemble Surrogate Models for Fast LIB Performance Predictions
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51. General intelligence requires rethinking exploration
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52. Quantifying uncertainty in deep learning approaches to radio galaxy classification
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55. Probabilistic prediction method for seismic response and post-earthquake capacity of regional high-speed railway bridges
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56. Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
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57. Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning
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66. Bayesian LSTM framework for the surrogate modeling of process engineering systems
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71. I Find Your Lack of Uncertainty in Computer Vision Disturbing
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72. Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour
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73. Deep Probabilistic Learning Model for Prediction of Ionic Liquids Toxicity
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74. A Bayesian Data-Driven Framework for Aleatoric and Epistemic Uncertainty Quantification in Remaining Useful Life Predictions
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75. A hybrid probabilistic battery health management approach for robust inspection drone operations
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84. Uncertainty Quantification of a Machine Learning Subgrid‐Scale Parameterization for Atmospheric Gravity Waves
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85. Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond
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87. Artificial neural networks for monitoring network optimisation—a practical example using a national insect survey
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88. Toward a Trustworthy Classifier With Deep CNN: Uncertainty Estimation Meets Hyperspectral Image
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89. Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection
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90. A Survey on Evidential Deep Learning For Single-Pass Uncertainty Estimation.
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