AIMC Topic: Uncertainty

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Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 6, 2021
Brain ageing is a complex neurobiological process associated with morphological changes that can be assessed on MRI scans. Recently, Deep learning (DL)-based approaches have been proposed for the prediction of chronological brain age from MR images y...
Aged Young Adult Adult Humans Brain Deep Learning Cohort Studies Child, Preschool Middle Aged Infant Uncertainty Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Pairwise Difference Regression: A Machine Learning Meta-algorithm for Improved Prediction and Uncertainty Quantification in Chemical Search.

Journal of chemical information and modeling Aug 4, 2021
Machine learning (ML) plays a growing role in the design and discovery of chemicals, aiming to reduce the need to perform expensive experiments and simulations. ML for such applications is promising but difficult, as models must generalize to vast ch...
Algorithms Uncertainty Neural Networks, Computer Machine Learning
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RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection.

IEEE transactions on neural networks and learning systems Aug 3, 2021
The novel 2019 Coronavirus (COVID-19) infection has spread worldwide and is currently a major healthcare challenge around the world. Chest computed tomography (CT) and X-ray images have been well recognized to be two effective techniques for clinical...
Reproducibility of Results Deep Learning Diagnosis, Differential Algorithms Tomography, X-Ray Computed Thorax Information Systems Uncertainty Pneumonia Expert Systems Neural Networks, Computer COVID-19 Humans
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The absorption and multiplication of uncertainty in machine-learning-driven finance.

The British journal of sociology Jul 27, 2021
Uncertainty about market developments and their implications characterize financial markets. Increasingly, machine learning is deployed as a tool to absorb this uncertainty and transform it into manageable risk. This article analyses machine-learning...
Uncertainty Humans Machine Learning Industry
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Adaptive robust synchronized control for cooperative robotic manipulators with uncertain base coordinate system.

ISA transactions Jul 26, 2021
In this paper, cooperative robotic manipulators under uncertain base coordinate are investigated. The coordinate uncertainties result in biases of cooperative robotic dynamics, which involve horizontal and vertical translational errors in the task sp...
Neural Networks, Computer Mechanical Phenomena Robotics Uncertainty Robotic Surgical Procedures
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Explaining distortions in metacognition with an attractor network model of decision uncertainty.

PLoS computational biology Jul 26, 2021
Metacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions in metacognition are common in mental health disorders, though the neural underpinnings of such dysfunction are unknown. One reason for this is that mo...
Mental Disorders Computational Biology Humans Decision Making Neural Networks, Computer Metacognition Models, Neurological Bias Psychomotor Performance Models, Psychological Judgment Linear Models Uncertainty
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Bayesian Fully Convolutional Networks for Brain Image Registration.

Journal of healthcare engineering Jul 26, 2021
The purpose of medical image registration is to find geometric transformations that align two medical images so that the corresponding voxels on two images are spatially consistent. Nonrigid medical image registration is a key step in medical image p...
Bayes Theorem Brain Image Processing, Computer-Assisted Uncertainty Humans Magnetic Resonance Imaging Neural Networks, Computer
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Exploring the potential of utilizing unsupervised machine learning for urban drainage sensor placement under future rainfall uncertainty.

Journal of environmental management Jul 9, 2021
Recently, advanced informatics and sensing techniques show promise of enabling a new generation of smart stormwater systems, where real-time sensors are deployed to detect flooding hotspots. Existing stormwater design criteria assume that historical ...
Rain Cities Floods Uncertainty Unsupervised Machine Learning
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A semi-analytical solution and AI-based reconstruction algorithms for magnetic particle tracking.

PloS one Jul 9, 2021
Magnetic particle tracking is a recently developed technology that can measure the translation and rotation of a particle in an opaque environment like a turbidity flow and fluidized-bed flow. The trajectory reconstruction usually relies on numerical...
Uncertainty Magnetometry Magnetic Fields Wavelet Analysis Artificial Intelligence Algorithms Neural Networks, Computer
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Human-in-the-Loop Low-Shot Learning.

IEEE transactions on neural networks and learning systems Jul 6, 2021
We consider a human-in-the-loop scenario in the context of low-shot learning. Our approach was inspired by the fact that the viability of samples in novel categories cannot be sufficiently reflected by those limited observations. Some heterogeneous s...
Learning Feedback Reinforcement, Psychology Uncertainty Problem Solving Neural Networks, Computer Machine Learning Algorithms Humans
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