Results 91 to 100 of about 1,665,658 (262)
Uncertainty Quantification for Text Classification
, 2023 This full-day tutorial introduces modern techniques for practical uncertainty quantification specifically in the context of multi-class and multi-label text classification.
Makrehchi, Masoud +5 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song +10 more
wiley +1 more source
Uncertainty Quantification by Adaptive Multifidelity Surrogates of Noisy CFD Data
, 2019 The objective of the present work is to present an adaptive RBF-based N-fidelity (NF) surrogate for uncertainty quantification of complex industrial problems, fully exploiting the potential of simulation methods that naturally produce results spanning a
A Serani +5 more
core
SVM and LS-SVM for the Uncertainty Quantification of Complex Systems [PDF]
, 2018 This paper investigates the application of the support vector machine and the least-squares support vector machine regressions to the uncertainty quantification of complex systems. The feasibility and the accuracy of the above techniques are demonstrated
R. Trinchero, F. G. Canavero
core
Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin +8 more
wiley +1 more source
, 2017 Component-based system simulation models are used throughout all development phases for design and verification of both physical systems and control software, not least in the aeronautical industry.
Eek, Magnus, +2 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Uncertainty-Aware Model Training and Decision Making
, 2020 As the primary contributions of this thesis, the current state-of-the-art uncertainty quantification techniques for medical classification problems are reviewed comprehensively.
Roohallah Alizadehsani (6445298)
core
Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay +15 more
wiley +1 more source
International Journal of Aerospace Engineering, 2017 Airfoil geometric uncertainty can generate aerodynamic characteristics fluctuations. Uncertainty quantification is applied to compute its impact on the aerodynamic characteristics. In addition, the contribution of each uncertainty variable to aerodynamic
Xiaojing Wu, Weiwei Zhang, Shufang Song
doaj +1 more source