Samuel D. Relton

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 24

Top Topics

Supervised Classification

Condition Numbers

Computing Systems

Top Venues

SIAM J. Sci. Comput.

Artif. Intell. Medicine

Publications

Jing Qin, Fujie Gao, Zumin Wang, David C. Wong, Zhibin Zhao, Samuel D. Relton, Hui Fang
A novel temporal generative adversarial network for electrocardiography anomaly detection. Artif. Intell. Medicine 136 (2023)
James Bungay, Osasenaga Emokpae, Samuel D. Relton, Jane E. Alty, Stefan Williams, Hui Fang, David C. Wong
Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation. EMBC (2023)
James Bungay, Osasenaga Emokpae, Samuel D. Relton, Jane E. Alty, Stefan Williams, Hui Fang, David C. Wong
Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation. CoRR (2023)
Zoe Hancox, Samuel D. Relton, Andrew Clegg, Philip G. Conaghan, Dan Schofield
Hypergraphs for Frailty Analysis Research Paper. ICPM Workshops (2023)
Benjamin Keel, Aaron Quyn, David Jayne, Samuel D. Relton
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions. BMVC (2023)
Bahar Arslan, Samuel D. Relton, Marcel Schweitzer
Structured level-2 condition numbers of matrix functions. CoRR (2023)
Benjamin Keel, Aaron Quyn, David Jayne, Samuel D. Relton
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions. CoRR (2023)
Renjie Li, Rebecca J. St George, Xinyi Wang, Katherine Lawler, Edward Hill, Saurabh Garg, Stefan Williams, Samuel D. Relton, David Hogg, Quan Bai, Jane E. Alty
Moving towards intelligent telemedicine: Computer vision measurement of human movement. Comput. Biol. Medicine 147 (2022)
Zoe Hancox, Samuel D. Relton
Temporal Graph-Based CNNs (TG-CNNs) for Online Course Dropout Prediction. ISMIS (2022)
Peter Kandolf, Antti Koskela, Samuel D. Relton, Marcel Schweitzer
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods. Numer. Linear Algebra Appl. 28 (6) (2021)
Zhibin Zhao, Darcy Murphy, Hugh Gifford, Stefan Williams, Annie Darlington, Samuel D. Relton, Hui Fang, David C. Wong
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs. CoRR (2021)
Zuogang Shang, Zhibin Zhao, Hui Fang, Samuel D. Relton, Darcy Murphy, Zoe Hancox, Ruqiang Yan, David Wong
Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals. CinC (2021)
Zhibin Zhao, Hui Fang, Samuel D. Relton, Ruqiang Yan, Yuhong Liu, Zhijing Li, Jing Qin, David C. Wong
Adaptive Lead Weighted ResNet Trained With Different Duration Signals for Classifying 12-lead ECGs. CinC (2020)
Peter Kandolf, Antti Koskela, Samuel D. Relton, Marcel Schweitzer
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods. CoRR (2020)
Antti Koskela, Samuel D. Relton
Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions. CoRR (2020)
Zhibin Zhao, Hui Fang, Stefan Williams, Samuel D. Relton, Jane E. Alty, Alexander J. Casson, David C. Wong
Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia. EMBC (2020)
Stefan Williams, Samuel D. Relton, Hui Fang, Jane E. Alty, Rami Qahwaji, Christopher D. Graham, David C. Wong
Supervised classification of bradykinesia in Parkinson's disease from smartphone videos. Artif. Intell. Medicine 110 (2020)
Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Panruo Wu, Ichitaro Yamazaki, Asim YarKhan, Maksims Abalenkovs, Negin Bagherpour, Sven Hammarling, Jakub Sístek, David Stevens, Mawussi Zounon, Samuel D. Relton
PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP. ACM Trans. Math. Softw. 45 (2) (2019)
David C. Wong, Samuel D. Relton, Hui Fang, Rami Qhawaji, Christopher D. Graham, Jane E. Alty, Stefan Williams
Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos. CBMS (2019)
Ian G. McHale, Samuel D. Relton
Identifying key players in soccer teams using network analysis and pass difficulty. Eur. J. Oper. Res. 268 (1) (2018)
Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Mawussi Zounon
Optimized Batched Linear Algebra for Modern Architectures. Euro-Par (2017)
Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Pedro Valero-Lara, Mawussi Zounon
The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems. ICCS (2017)
Peter Kandolf, Samuel D. Relton
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. 39 (4) (2017)
Nicholas J. Higham, Samuel D. Relton
Estimating the Largest Elements of a Matrix. SIAM J. Sci. Comput. 38 (5) (2016)
Awad H. Al-Mohy, Nicholas J. Higham, Samuel D. Relton
New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously. SIAM J. Sci. Comput. 37 (1) (2015)
Nicholas J. Higham, Samuel D. Relton
Estimating the Condition Number of the Fréchet Derivative of a Matrix Function. SIAM J. Sci. Comput. 36 (6) (2014)
Nicholas J. Higham, Samuel D. Relton
Higher Order Fréchet Derivatives of Matrix Functions and the Level-2 Condition Number. SIAM J. Matrix Anal. Appl. 35 (3) (2014)
Awad H. Al-Mohy, Nicholas J. Higham, Samuel D. Relton
Computing the Fréchet Derivative of the Matrix Logarithm and Estimating the Condition Number. SIAM J. Sci. Comput. 35 (4) (2013)