Samuel D. Relton
Orcid: 0000-0003-0634-4587
According to our database1,
Samuel D. Relton
authored at least 27 papers
between 2013 and 2024.
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Bibliography
2024
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records.
CoRR, 2024
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records.
Artif. Intell. Medicine, 2024
2023
A novel temporal generative adversarial network for electrocardiography anomaly detection.
Artif. Intell. Medicine, February, 2023
Proceedings of the Process Mining Workshops, 2023
Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Moving towards intelligent telemedicine: Computer vision measurement of human movement.
Comput. Biol. Medicine, 2022
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
2021
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods.
Numer. Linear Algebra Appl., 2021
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs.
CoRR, 2021
Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions.
CoRR, 2020
Supervised classification of bradykinesia in Parkinson's disease from smartphone videos.
Artif. Intell. Medicine, 2020
Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Adaptive Lead Weighted ResNet Trained With Different Duration Signals for Classifying 12-lead ECGs.
Proceedings of the Computing in Cardiology, 2020
2019
ACM Trans. Math. Softw., 2019
Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
2018
Eur. J. Oper. Res., 2018
2017
A Block Krylov Method to Compute the Action of the Fréchet Derivative of a Matrix Function on a Vector with Applications to Condition Number Estimation.
SIAM J. Sci. Comput., 2017
The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems.
Proceedings of the International Conference on Computational Science, 2017
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
2016
2015
New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously.
SIAM J. Sci. Comput., 2015
2014
SIAM J. Sci. Comput., 2014
Higher Order Fréchet Derivatives of Matrix Functions and the Level-2 Condition Number.
SIAM J. Matrix Anal. Appl., 2014
2013
Computing the Fréchet Derivative of the Matrix Logarithm and Estimating the Condition Number.
SIAM J. Sci. Comput., 2013