AIMC Topic: Uncertainty

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A Surrogate Model Based on Artificial Neural Network for RF Radiation Modelling with High-Dimensional Data.

International journal of environmental research and public health Apr 9, 2020
This paper focuses on quantifying the uncertainty in the specific absorption rate valuesof the brain induced by the uncertain positions of the electroencephalography electrodes placed onthe patient's scalp. To avoid running a large number of simulati...
Data Analysis Brain Electrodes Uncertainty Humans Electroencephalography Neural Networks, Computer
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Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals.

Journal of chemical information and modeling Apr 6, 2020
Computational high throughput screening (HTS) has emerged as a significant tool in material science to accelerate the discovery of new materials with target properties in recent years. However, despite many successful cases in which HTS led to the no...
Density Functional Theory Neural Networks, Computer High-Throughput Screening Assays Machine Learning Uncertainty
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Sustainable feedstocks selection and renewable products allocation: A new hybrid adaptive utility-based consensus model.

Journal of environmental management Mar 20, 2020
Nowadays, preferred compromise response of renewable energies' demands regarding the candidate sustainable feedstocks is a crucial issue for market change management. Thus, selecting the most suitable sustainable feedstock is a key factor for optimum...
Decision Making Entropy Consensus Uncertainty Fuzzy Logic
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Deep learning-based target metabolite isolation and big data-driven measurement uncertainty estimation in proton magnetic resonance spectroscopy of the brain.

Magnetic resonance in medicine Mar 5, 2020
PURPOSE: The aim of this study was to develop a method for metabolite quantification with simultaneous measurement uncertainty estimation in deep learning-based proton magnetic resonance spectroscopy ( H-MRS).
Uncertainty Magnetic Resonance Spectroscopy Proton Magnetic Resonance Spectroscopy Big Data Rats Brain Animals Deep Learning Reproducibility of Results
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Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy.

Medical image analysis Feb 28, 2020
There are two challenges associated with the interpretability of deep learning models in medical image analysis applications that need to be addressed: confidence calibration and classification uncertainty. Confidence calibration associates the class...
Uncertainty Bayes Theorem Calibration Reproducibility of Results Colonoscopy Humans Deep Learning
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Reachable set bounding for neural networks with mixed delays: Reciprocally convex approach.

Neural networks : the official journal of the International Neural Network Society Feb 15, 2020
This paper discusses the reachable set estimation problem of neural networks with mixed delays. Firstly, by means of the maximal Lyapunov-Krasovskii functional, we obtain a non-ellipsoid form of the reachable set. Further more, when calculating the d...
Uncertainty Humans Computer Simulation Time Factors Neural Networks, Computer
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Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis.

Physical and engineering sciences in medicine Feb 10, 2020
While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it can be difficult to predict whether a benefit can be expected for an individual patient. Predictive modelling may aid in this respect. However, the pre...
Life Expectancy Models, Theoretical Quality of Life Probability Humans Fuzzy Logic Markov Chains Child, Preschool Proton Therapy Female Uncertainty Patient Selection Quality-Adjusted Life Years Radiotherapy, Intensity-Modulated
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Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2020
Recent findings suggest that acetylcholine mediates uncertainty-seeking behaviors through its projection to dopamine neurons - another neuromodulatory system known for its major role in reinforcement learning and decision-making. In this paper, we pr...
Neural Networks, Computer Animals Models, Neurological Humans Acetylcholine Dopamine Uncertainty Decision Making Reward Dopaminergic Neurons Cholinergic Neurons
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An artificial neural network to model response of a radiotherapy beam monitoring system.

Medical physics Feb 3, 2020
PURPOSE: The integral quality monitor (IQM) is a real-time radiotherapy beam monitoring system, which consists of a spatially sensitive large-area ion chamber, mounted at the collimator of the linear accelerator (linac), and a calculation algorithm t...
Particle Accelerators Neural Networks, Computer Radiotherapy Uncertainty
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Neuromodulated attention and goal-driven perception in uncertain domains.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2020
In uncertain domains, the goals are often unknown and need to be predicted by the organism or system. In this paper, contrastive Excitation Backprop (c-EB) was used in two goal-driven perception tasks - one with pairs of noisy MNIST digits and the ot...
Neural Networks, Computer Models, Neurological Attention Goals Reaction Time Humans Perception Uncertainty
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