Samuel D. Relton

Orcid: 0000-0003-0634-4587

According to our database1, Samuel D. Relton authored at least 25 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A novel temporal generative adversarial network for electrocardiography anomaly detection.
Artif. Intell. Medicine, February, 2023

Structured level-2 condition numbers of matrix functions.
CoRR, 2023

Hypergraphs for Frailty Analysis Research Paper.
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

Temporal Graph-Based CNNs (TG-CNNs) for Online Course Dropout Prediction.
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
PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP.
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
Identifying key players in soccer teams using network analysis and pass difficulty.
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

Optimized Batched Linear Algebra for Modern Architectures.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

2016
Estimating the Largest Elements of a Matrix.
SIAM J. Sci. Comput., 2016

2015
New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously.
SIAM J. Sci. Comput., 2015

2014
Estimating the Condition Number of the Fréchet Derivative of a Matrix Function.
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


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