Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
Abstract A Remaining Useful Life prediction with Aleatoric uncertainty is presented in this
paper. A Long Short-Term Memory (LSTM) architecture with probabilistic layer is employed …
paper. A Long Short-Term Memory (LSTM) architecture with probabilistic layer is employed …
Robustness analysis of Gaussian process convolutional neural network with uncertainty quantification
M Javed, L Mihaylova… - International Journal of …, 2022 - eprints.whiterose.ac.uk
This paper presents a novel framework for image classification which comprises a
convolutional neural network (CNN) feature map extractor combined with a Gaussian …
convolutional neural network (CNN) feature map extractor combined with a Gaussian …
Uncertainty Quantifcation in Vision Based Classifcation
M Javed - 2022 - etheses.whiterose.ac.uk
The past decade of artifcial intelligence and deep learning has made tremendous progress
in highly perceptive tasks such as image recognition. Deep learning algorithms map high …
in highly perceptive tasks such as image recognition. Deep learning algorithms map high …
Robustness Analysis for Convolutional Neural Networks with Uncertainty Quantification
M Javed, L Mihaylova - Proc. of the International Forum on Signal …, 2021 - par.nsf.gov
This paper presents a novel framework for training convolutional neural networks (CNNs) to
quantify the impact of gradual and abrupt uncertainties in the form of adversarial attacks …
quantify the impact of gradual and abrupt uncertainties in the form of adversarial attacks …