A Bayesian Framework for Uncertainty-Aware Explanations in Power Quality Disturbance Classification
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Chen, Yinsong, Yu, Samson S., Muttaqi, Kashem M. |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power Forecasting
par: Chen, Yinsong, et autres
Publié: (2026)
par: Chen, Yinsong, et autres
Publié: (2026)
A Unified Framework for Uncertainty-Aware Explainable Artificial Intelligence: A Case Study in Power Quality Disturbance Classification
par: Chen, Yinsong, et autres
Publié: (2026)
par: Chen, Yinsong, et autres
Publié: (2026)
Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation
par: Chen, Yinsong, et autres
Publié: (2024)
par: Chen, Yinsong, et autres
Publié: (2024)
CONFEX: Uncertainty-Aware Counterfactual Explanations with Conformal Guarantees
par: Bilkhoo, Aman, et autres
Publié: (2025)
par: Bilkhoo, Aman, et autres
Publié: (2025)
Estimation of Concept Explanations Should be Uncertainty Aware
par: Piratla, Vihari, et autres
Publié: (2023)
par: Piratla, Vihari, et autres
Publié: (2023)
Shaping Initial State Prevents Modality Competition in Multi-modal Fusion: A Two-stage Scheduling Framework via Fast Partial Information Decomposition
par: Tang, Jiaqi, et autres
Publié: (2025)
par: Tang, Jiaqi, et autres
Publié: (2025)
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
par: Vadillo, Jon, et autres
Publié: (2024)
par: Vadillo, Jon, et autres
Publié: (2024)
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach
par: Wang, Yinsong, et autres
Publié: (2024)
par: Wang, Yinsong, et autres
Publié: (2024)
Uncertainty-Aware Extrapolation in Bayesian Oblique Trees
par: Andonovikj, Viktor, et autres
Publié: (2026)
par: Andonovikj, Viktor, et autres
Publié: (2026)
Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data
par: Wang, Yinsong, et autres
Publié: (2026)
par: Wang, Yinsong, et autres
Publié: (2026)
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality
par: Wang, Yinsong, et autres
Publié: (2023)
par: Wang, Yinsong, et autres
Publié: (2023)
Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classification
par: Ajayi, Oluwaseun T., et autres
Publié: (2024)
par: Ajayi, Oluwaseun T., et autres
Publié: (2024)
Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
par: Chugh, Sumedha, et autres
Publié: (2026)
par: Chugh, Sumedha, et autres
Publié: (2026)
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
par: Löfström, Tuwe, et autres
Publié: (2024)
par: Löfström, Tuwe, et autres
Publié: (2024)
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data
par: Lian, Zhixuan, et autres
Publié: (2025)
par: Lian, Zhixuan, et autres
Publié: (2025)
Uncertainty-Aware Fairness-Adaptive Classification Trees
par: Gottard, Anna, et autres
Publié: (2024)
par: Gottard, Anna, et autres
Publié: (2024)
A Dynamic Bayesian and Machine Learning Framework for Quantitative Evaluation and Prediction of Operator Situation Awareness in Nuclear Power Plants
par: Chen, Shuai, et autres
Publié: (2026)
par: Chen, Shuai, et autres
Publié: (2026)
An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks
par: Mu, Nan, et autres
Publié: (2025)
par: Mu, Nan, et autres
Publié: (2025)
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
par: Qian, Zhenyu, et autres
Publié: (2024)
par: Qian, Zhenyu, et autres
Publié: (2024)
Courtroom Analogy: New Perspective on Uncertainty-Aware Classification
par: Yoon, Taeseong, et autres
Publié: (2026)
par: Yoon, Taeseong, et autres
Publié: (2026)
Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
par: Pian, Yuzhuang, et autres
Publié: (2025)
par: Pian, Yuzhuang, et autres
Publié: (2025)
Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
par: Nezhadettehad, Alireza, et autres
Publié: (2026)
par: Nezhadettehad, Alireza, et autres
Publié: (2026)
Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification
par: Li, Yuqi, et autres
Publié: (2026)
par: Li, Yuqi, et autres
Publié: (2026)
Sanity Checks for Explanation Uncertainty
par: Valdenegro-Toro, Matias, et autres
Publié: (2024)
par: Valdenegro-Toro, Matias, et autres
Publié: (2024)
Bayesian Uncertainty Quantification with Anchored Ensembles for Robust EV Power Consumption Prediction
par: Farhani, Ghazal, et autres
Publié: (2025)
par: Farhani, Ghazal, et autres
Publié: (2025)
Mutual Information Surprise: Rethinking Unexpectedness in Autonomous Systems
par: Wang, Yinsong, et autres
Publié: (2025)
par: Wang, Yinsong, et autres
Publié: (2025)
Succinct Interaction-Aware Explanations
par: Xu, Sascha, et autres
Publié: (2024)
par: Xu, Sascha, et autres
Publié: (2024)
Preliminary Investigation into Uncertainty-Aware Attack Stage Classification
par: Gaudenzi, Alessandro, et autres
Publié: (2025)
par: Gaudenzi, Alessandro, et autres
Publié: (2025)
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties
par: Schodt, David J., et autres
Publié: (2024)
par: Schodt, David J., et autres
Publié: (2024)
Locating and Mitigating Gradient Conflicts in Point Cloud Domain Adaptation via Saliency Map Skewness
par: Tang, Jiaqi, et autres
Publié: (2025)
par: Tang, Jiaqi, et autres
Publié: (2025)
ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression
par: Yu, Wneya, et autres
Publié: (2026)
par: Yu, Wneya, et autres
Publié: (2026)
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
par: Valero-Leal, Enrique, et autres
Publié: (2025)
par: Valero-Leal, Enrique, et autres
Publié: (2025)
Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations
par: Kamarthi, Harshavardhan, et autres
Publié: (2026)
par: Kamarthi, Harshavardhan, et autres
Publié: (2026)
Calibrated Explanations: with Uncertainty Information and Counterfactuals
par: Lofstrom, Helena, et autres
Publié: (2023)
par: Lofstrom, Helena, et autres
Publié: (2023)
Efficient RF Passive Components Modeling with Bayesian Online Learning and Uncertainty Aware Sampling
par: Zhang, Huifan, et autres
Publié: (2025)
par: Zhang, Huifan, et autres
Publié: (2025)
A Novel Framework for Uncertainty Quantification via Proper Scores for Classification and Beyond
par: Gruber, Sebastian G.
Publié: (2025)
par: Gruber, Sebastian G.
Publié: (2025)
Uncertainty-Aware Sparse Identification of Dynamical Systems via Bayesian Model Averaging
par: Kashiwamura, Shuhei, et autres
Publié: (2026)
par: Kashiwamura, Shuhei, et autres
Publié: (2026)
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
par: Ashhad, Mohd, et autres
Publié: (2025)
par: Ashhad, Mohd, et autres
Publié: (2025)
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
par: Scheurer, Stefania, et autres
Publié: (2025)
par: Scheurer, Stefania, et autres
Publié: (2025)
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation
par: Gillis, H. Martin, et autres
Publié: (2026)
par: Gillis, H. Martin, et autres
Publié: (2026)
Documents similaires
-
A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power Forecasting
par: Chen, Yinsong, et autres
Publié: (2026) -
A Unified Framework for Uncertainty-Aware Explainable Artificial Intelligence: A Case Study in Power Quality Disturbance Classification
par: Chen, Yinsong, et autres
Publié: (2026) -
Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation
par: Chen, Yinsong, et autres
Publié: (2024) -
CONFEX: Uncertainty-Aware Counterfactual Explanations with Conformal Guarantees
par: Bilkhoo, Aman, et autres
Publié: (2025) -
Estimation of Concept Explanations Should be Uncertainty Aware
par: Piratla, Vihari, et autres
Publié: (2023)