Papers Uncertainty Visualization
“Uncertainty Visualization” 태그가 달린 논문 10편 · 필터 해제
An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
We present a simple comparative framework for testing and developing uncertainty modeling in uncertain marching cubes implementations. The selection of a model to represent the probability distribution of uncertain value…
Uncertainty VisualizationEnhancing Uncertainty Communication in Time Series Predictions: Insights and Recommendations
As the world increasingly relies on mathematical models for forecasts in different areas, effective communication of uncertainty in time series predictions is important for informed decision making. This study explores h…
Decision MakingTime SeriesUncertainty VisualizationGlyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields
Uncertainty is inherent to most data, including vector field data, yet it is often omitted in visualizations and representations. Effective uncertainty visualization can enhance the understanding and interpretability of …
ManagementUncertainty VisualizationVOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
In this paper, we visualize and quantify the predictive uncertainty of gradient-based post hoc visual explanations for neural networks. Predictive uncertainty refers to the variability in the network predictions under pe…
Uncertainty VisualizationUncertainty Visualization via Low-Dimensional Posterior Projections
In ill-posed inverse problems, it is commonly desirable to obtain insight into the full spectrum of plausible solutions, rather than extracting only a single reconstruction. Information about the plausible solutions and …
Image RestorationUncertainty QuantificationUncertainty VisualizationUncertainty Quantification via Neural Posterior Principal Components
Uncertainty quantification is crucial for the deployment of image restoration models in safety-critical domains, like autonomous driving and biological imaging. To date, methods for uncertainty visualization have mainly …
Autonomous DrivingDenoisingImage DenoisingImage Restoration+4On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
Denoisers play a central role in many applications, from noise suppression in low-grade imaging sensors, to empowering score-based generative models. The latter category of methods makes use of Tweedie's formula, which l…
DenoisingImage DenoisingImage RestorationUncertainty Quantification+1Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles
Visualizing the uncertainty of ensemble simulations is challenging due to the large size and multivariate and temporal features of ensemble data sets. One popular approach to studying the uncertainty of ensembles is anal…
Uncertainty VisualizationAffective Medical Estimation and Decision Making via Visualized Learning and Deep Learning
With the advent of sophisticated machine learning (ML) techniques and the promising results they yield, especially in medical applications, where they have been investigated for different tasks to enhance the decision-ma…
Decision MakingMemorizationSurveyUncertainty VisualizationJoint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning
Optical coherence tomography (OCT) is commonly used to analyze retinal layers for assessment of ocular diseases. In this paper, we propose a method for retinal layer segmentation and quantification of uncertainty based o…
SegmentationUncertainty Visualization