AIMC Topic: Uncertainty

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Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models.

Computers in biology and medicine Aug 30, 2019
One of the significant issues in global healthcare systems is improving the supply chain performance and addressing the uncertainties in demand. Blood products, especially platelets, have the most challenging supply chains in the health system given ...
Blood Safety Spain Uncertainty Humans Models, Theoretical Blood Platelets Neural Networks, Computer
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Predicting gamma passing rates for portal dosimetry-based IMRT QA using machine learning.

Medical physics Aug 27, 2019
PURPOSE: Intensity-modulated radiation therapy (IMRT) quality assurance (QA) measurements are routinely performed prior to treatment delivery to verify dose calculation and delivery accuracy. In this work, we applied a machine learning-based approach...
Calibration Radiometry Gamma Rays Radiotherapy, Intensity-Modulated Uncertainty Machine Learning Quality Control Radiotherapy Planning, Computer-Assisted
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Accelerating cardiovascular model building with convolutional neural networks.

Medical & biological engineering & computing Aug 24, 2019
The objective of this work is to reduce the user effort required for 2D segmentation when building patient-specific cardiovascular models using the SimVascular cardiovascular modeling software package. The proposed method uses a fully convolutional n...
Humans Neural Networks, Computer Quality Control Probability Automation Algorithms Image Processing, Computer-Assisted Models, Cardiovascular Uncertainty
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A Natural-language-based Visual Query Approach of Uncertain Human Trajectories.

IEEE transactions on visualization and computer graphics Aug 20, 2019
Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate ge...
Computer Graphics Uncertainty Databases, Factual User-Computer Interface Semantics Humans Movement Natural Language Processing Algorithms
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Efficient training of interval Neural Networks for imprecise training data.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2019
This paper describes a robust and computationally feasible method to train and quantify the uncertainty of Neural Networks. Specifically, we propose a back propagation algorithm for Neural Networks with interval predictions. In order to maintain nume...
Uncertainty Machine Learning Data Accuracy Humans Neural Networks, Computer
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Delay-dependent stability analysis of the QUAD vector field fractional order quaternion-valued memristive uncertain neutral type leaky integrator echo state neural networks.

Neural networks : the official journal of the International Neural Network Society May 28, 2019
This paper studies the robust stability analysis for a class of memristive-based neural networks (NN). The NN consists of a fractional order neutral type quaternion-valued leaky integrator echo state with parameter uncertainties and time-varying dela...
Neural Networks, Computer Uncertainty
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Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach.

International journal of environmental research and public health May 19, 2019
Evaluating the eutrophication level of lakes with a single method alone is challenging since uncertain, fuzzy, and complex processes exist in eutrophication evaluations. The parameters selected for assessing eutrophication include chlorophyII-a, chem...
Fuzzy Logic Nitrogen Monte Carlo Method Uncertainty Phosphorus Eutrophication Lakes China Water Models, Theoretical
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Confidence resets reveal hierarchical adaptive learning in humans.

PLoS computational biology Apr 9, 2019
Hierarchical processing is pervasive in the brain, but its computational significance for learning under uncertainty is disputed. On the one hand, hierarchical models provide an optimal framework and are becoming increasingly popular to study cogniti...
Cognition Uncertainty Choice Behavior Male Deep Learning Young Adult Adult Brain Learning Female Humans
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Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems.

Computational intelligence and neuroscience Apr 1, 2019
Accurate prediction of the short time series with highly irregular behavior is a challenging task found in many areas of modern science. Such data fluctuations are not systematic and hardly predictable. In recent years, artificial neural networks hav...
Data Accuracy Algorithms Nonlinear Dynamics Humans Uncertainty Forecasting Neural Networks, Computer
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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.

NeuroImage Mar 26, 2019
We introduce Bayesian QuickNAT for the automated quality control of whole-brain segmentation on MRI T1 scans. Next to the Bayesian fully convolutional neural network, we also present inherent measures of segmentation uncertainty that allow for qualit...
Magnetic Resonance Imaging Bayes Theorem Deep Learning Image Processing, Computer-Assisted Uncertainty Humans Brain
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