AIMC Topic: Uncertainty

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Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities.

Neural networks : the official journal of the International Neural Network Society Jul 6, 2020
In this paper, the protocol-based remote state estimation problem is considered for a kind of delayed artificial neural networks. The random time-varying delays fall into certain intervals with known probability distributions. For the sake of reducin...
Uncertainty Time Factors Probability Markov Chains Stochastic Processes Neural Networks, Computer Communication
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Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2020
In this paper we investigate controller design problem for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks (FMCVBAMNNs) with uncertain parameters and time-varying delays. By using the Lyapuno...
Time Factors Uncertainty Neural Networks, Computer
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Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm.

Environmental science and pollution research international Jul 3, 2020
Suspended sediment load (SSL) estimation is a required exercise in water resource management. This article proposes the use of hybrid artificial neural network (ANN) models, for the prediction of SSL, based on previous SSL values. Different input sce...
Iran Uncertainty Neural Networks, Computer Algorithms
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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.

Medical image analysis Jun 27, 2020
Although having achieved great success in medical image segmentation, deep learning-based approaches usually require large amounts of well-annotated data, which can be extremely expensive in the field of medical image analysis. Unlabeled data, on the...
Supervised Machine Learning Uncertainty Humans
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Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity.

Scientific reports Jun 12, 2020
During the development of new drugs or compounds there is a requirement for preclinical trials, commonly involving animal tests, to ascertain the safety of the compound prior to human trials. Machine learning techniques could provide an in-silico alt...
Machine Learning Animals Humans Drug-Related Side Effects and Adverse Reactions Quality Control Gene Expression Profiling Models, Theoretical Uncertainty
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Uncertainty-aware domain alignment for anatomical structure segmentation.

Medical image analysis Jun 9, 2020
Automatic and accurate segmentation of anatomical structures on medical images is crucial for detecting various potential diseases. However, the segmentation performance of established deep neural networks may degenerate on different modalities or de...
Uncertainty Humans Neural Networks, Computer Tomography, Optical Coherence Heart
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Leveraging spatial uncertainty for online error compensation in EMT.

International journal of computer assisted radiology and surgery May 22, 2020
PURPOSE: Electromagnetic tracking (EMT) can potentially complement fluoroscopic navigation, reducing radiation exposure in a hybrid setting. Due to the susceptibility to external distortions, systematic error in EMT needs to be compensated algorithmi...
Algorithms Fluoroscopy Electromagnetic Phenomena Radiation Exposure Uncertainty Humans Neural Networks, Computer
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Dynamic performances of a bird-like flapping wing robot under randomly uncertain disturbances.

PloS one May 5, 2020
The nonlinear dynamics of a bird-like flapping wing robot under randomly uncertain disturbances was studied in this study. The bird-like flapping wing robot was first simplified into a two-rod model with a spring connection. Then, the dynamic model o...
Uncertainty Flight, Animal Biomimetics Nonlinear Dynamics Robotics Computer Simulation Birds Wind Wings, Animal Aircraft Animals Models, Theoretical
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DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images.

Medical image analysis Apr 30, 2020
Diabetic retinopathy (DR) grading is crucial in determining the adequate treatment and follow up of patient, but the screening process can be tiresome and prone to errors. Deep learning approaches have shown promising performance as computer-aided di...
Deep Learning Diabetes Mellitus Fundus Oculi Uncertainty Diabetic Retinopathy Humans Diagnosis, Computer-Assisted
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Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction.

Journal of chemical information and modeling Apr 24, 2020
Advances in deep neural network (DNN)-based molecular property prediction have recently led to the development of models of remarkable accuracy and generalization ability, with graph convolutional neural networks (GCNNs) reporting state-of-the-art pe...
Deep Learning Uncertainty Bayes Theorem Neural Networks, Computer
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