uncertainty-quantification

Documents about uncertainty-quantification

• Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text#797509arXiv (OAI Expanded)
• Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text#798923arXiv (All)
• Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review#925703arXiv (All)
• Quadratic Point Estimate Method for Uncertainty Quantification with Dependent Non-Gaussian Inputs#986660arXiv (All)
• Online Bayesian Model Averaging with Joint Uncertainty Quantification for Models and Regression Coefficients in Binary Regression#1034781arXiv (All)
• Uncertainty-aware forecasting of economic and socio-economic inputs for environmental and sustainability indicator assessment#977434ULRR
• Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability#155518arXiv (OAI)
• Uncertainty quantification in FEM simulation of human liver: sensitivity analysis, Gradient-Enhanced Kriging, and Monte Carlo simulation.#421217NCBI PubMed Central
• Consensus Risk Modeling and Uncertainty Quantification of Alzheimers Disease Using 5ADCSI Plasma Biomarkers and Multiple External Machine-Learning Frameworks#619214bioRxiv / medRxiv
• Uncertainty Quantification for Multi-level Models Using the Survey-Weighted Pseudo-Posterior#920834arXiv (OAI Expanded)
• Uncertainty Quantification for Multi-level Models Using the Survey-Weighted Pseudo-Posterior#925068arXiv (All)
• Physics-based prediction, uncertainty quantification and decision-making for IN718 crystallographic texture intensity across LPBF defocus regimes#965413arXiv CS
• Uncertainty quantification design principles for machine learning interatomic potentials: lessons learned from hierarchical Bayesian inference#1014438arXiv (All)
• Constructing Reliable Social Networks from Conversational Data: An Ensemble Prompt Engineering Approach with Uncertainty Quantification#1037697arXiv (All)
• Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes.#251284NCBI PubMed Central
• Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model.#288723NCBI PubMed Central
• Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts#363256arXiv CS
• Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification#925651arXiv (All)
• UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models#1037659arXiv (All)
• Conditional emissivity prior for improved Bayesian pyrometry estimates of advanced high strength steel#261251Borealis Dataverse OAI Archive
• Functional Safety in Industrial Automation: Integrating Programmable Logic Controllers, Safety PLCs, AI/ML/DL, Control Theory, Safety Invariants, and Uncertainty Quantification#30177DataCite
• Functional Safety in Industrial Automation: Integrating Programmable Logic Controllers, Safety PLCs, AI/ML/DL, Control Theory, Safety Invariants, and Uncertainty Quantification#30178DataCite
• A New Method of Modeling the Multi-stage Decision-Making Process of CRT Using Machine Learning with Uncertainty Quantification.#258385NCBI PubMed Central
• A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification#797004arXiv (OAI Expanded)
• A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification#798417arXiv (All)
• Uncertainty Quantification of State Variables Trajectories in the Context of Inverse Problems: An Approach from Bayesian Inference and FDA#822337arXiv (All)
• Use of Uncertainty Quantification to Determine the Impact of Manufacturing Error on the Handling Qualities of Tiltrotor Aircraft#284090Enlighten Publications
• Machine learning-based prediction of bacterial infection foci: model development, calibration and uncertainty quantification using conformal prediction methods.#678391NCBI PubMed Central
• Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification#971658arXiv (All)
• THE EXCESS PATH LENGTH DISTRIBUTION: A STOCHASTIC MODEL FOR SAMPLE-BASED PATH PLANNERS#200251Digital Commons @ Michigan Tech
• Problems in High-Dimensional Estimation and Large Language Models#643872Harvard DASH
• REVISITING THE ROLE OF STOCHASTICITY IN MITIGATING NON-MONOTONICITY IN COMBAT MODELS#668678Calhoun
• Physics-Informed Neural Networks for Methane Sorption: Cross-Gas Transfer Learning, Ensemble Collapse Under Physics Constraints, and Monte Carlo Dropout Uncertainty Quantification#14020arXiv CS
• High resolution spatiotemporal DIC based on coupling of high-speed and low-speed cameras#202644HAL (France)
• The collaborative Basilica Iulia Project. A Digital Knowledge Ecosystem for Integrated Archaeological Research#652981IRIS
• BAYESIAN HIERARCHICAL AND MULTILEVEL MODELS FOR PREDICTING THE IMPACT OF CLIMATE CHANGE ON ENVIRONMENTAL SYSTEMS WITH UNCERTAINTY QUANTIFICATION#127043DataCite
• BAYESIAN HIERARCHICAL AND MULTILEVEL MODELS FOR PREDICTING THE IMPACT OF CLIMATE CHANGE ON ENVIRONMENTAL SYSTEMS WITH UNCERTAINTY QUANTIFICATION#127044DataCite
• Deep Learning For Surrogate Modeling And Uncertainty Quantification In Science & Engineering#263697ScholarlyCommons at Penn
• The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering#481450Zenodo (CERN)
• Dynamical Models of Biology and Medicine#486645Directory of Open Access Books
• New mathematical approaches to the quantification of uncertainty affecting the measurement of U-value#649239University of Nottingham Repository
• Physics-based prediction, uncertainty quantification and decision-making for IN718 crystallographic texture intensity across LPBF defocus regimes#1013021arXiv (All)
• Identification of non linear parameters from masonry triplet shear tests using digital image correlation#14426HAL (France)
• NEURAL NETWORK SURROGATES FOR AIR DEFENSE SIMULATION WITH BAYESIAN UNCERTAINTY QUANTIFICATION#657710Calhoun
• Planification numérique sous incertitudes de campagnes d'essais de ténacité#254147HAL (France)
• Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification#485367Europe PMC
• Challenges and Opportunities in Predicting Future Beach Evolution: A Review of Processes, Remote Sensing, and Modeling Approaches#262097HAL (France)
• A quasi-optimal sparse grids procedure for groundwater flows#308394Infoscience
• Large-Eddy Simulations with remeshed Vortex methods: An assessment and calibration of subgrid-scale models#320307IRIS
• LuKARS 3.0: a high-performance computing software to model flow and transport processes in karst aquifers#685047HAL (France)