Computing the Fréchet Derivative of the Matrix Logarithm and Estimating the Condition Number. - Awad H. Al-Mohy; Nicholas J. Higham; Samuel D. Relton (SIAM J. Sci. Comput., 2013)

Higher Order Fréchet Derivatives of Matrix Functions and the Level-2 Condition Number. - Nicholas J. Higham; Samuel D. Relton (SIAM J. Matrix Anal. Appl., 2014)

Estimating the Condition Number of the Fréchet Derivative of a Matrix Function. - Nicholas J. Higham; Samuel D. Relton (SIAM J. Sci. Comput., 2014)

New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously. - Awad H. Al-Mohy; Nicholas J. Higham; Samuel D. Relton (SIAM J. Sci. Comput., 2015)

Estimating the Largest Elements of a Matrix. - Nicholas J. Higham; Samuel D. Relton (SIAM J. Sci. Comput., 2016)

Optimized Batched Linear Algebra for Modern Architectures. - Jack J. Dongarra; Sven Hammarling; Nicholas J. Higham; Samuel D. Relton; Mawussi Zounon (Euro-Par, 2017)

The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems. - Jack J. Dongarra; Sven Hammarling; Nicholas J. Higham; Samuel D. Relton; Pedro Valero-Lara; Mawussi Zounon (ICCS, 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. - Peter Kandolf; Samuel D. Relton (SIAM J. Sci. Comput., 2017)

Identifying key players in soccer teams using network analysis and pass difficulty. - Ian G. McHale; Samuel D. Relton (Eur. J. Oper. Res., 2018)

Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos. - David C. Wong 004; Samuel D. Relton; Hui Fang 003; Rami Qhawaji; Christopher D. Graham; Jane E. Alty; Stefan Williams (CBMS, 2019)

PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP. - 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; et al. (ACM Trans. Math. Softw., 2019)

Adaptive Lead Weighted ResNet Trained With Different Duration Signals for Classifying 12-lead ECGs. - Zhibin Zhao; Hui Fang 003; Samuel D. Relton; Ruqiang Yan 001; Yuhong Liu; Zhijing Li 005; Jing Qin 007; David C. Wong 004 (CinC, 2020)

Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia. - Zhibin Zhao; Hui Fang 003; Stefan Williams; Samuel D. Relton; Jane E. Alty; Alexander J. Casson; David C. Wong 004 (EMBC, 2020)

Supervised classification of bradykinesia in Parkinson's disease from smartphone videos. - Stefan Williams; Samuel D. Relton; Hui Fang 003; Jane E. Alty; Rami Qahwaji; Christopher D. Graham; David C. Wong 004 (Artif. Intell. Medicine, 2020)

Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions. - Antti Koskela; Samuel D. Relton (CoRR, 2020)

Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals. - Zuogang Shang; Zhibin Zhao; Hui Fang 003; Samuel D. Relton; Darcy Murphy; Zoe Hancox; Ruqiang Yan 001; David Wong 001 (CinC, 2021)

Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs. - Zhibin Zhao; Darcy Murphy; Hugh Gifford; Stefan Williams; Annie Darlington; Samuel D. Relton; Hui Fang 003; David C. Wong 004 (CoRR, 2021)

Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods. - Peter Kandolf; Antti Koskela; Samuel D. Relton; Marcel Schweitzer (Numer. Linear Algebra Appl., 2021)

Temporal Graph-Based CNNs (TG-CNNs) for Online Course Dropout Prediction. - Zoe Hancox; Samuel D. Relton (ISMIS, 2022)

Moving towards intelligent telemedicine: Computer vision measurement of human movement. - Renjie Li 001; Rebecca J. St George; Xinyi Wang 009; Katherine Lawler; Edward Hill; Saurabh Garg 001; Stefan Williams; Samuel D. Relton; David Hogg 001; Quan Bai 001; Jane E. Alty (Comput. Biol. Medicine, 2022)

Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions. - Benjamin Keel; Aaron Quyn; David G. Jayne; Samuel D. Relton (BMVC, 2023)

Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation. - James Bungay; Osasenaga Emokpae; Samuel D. Relton; Jane E. Alty; Stefan Williams; Hui Fang 003; David C. Wong 004 (EMBC, 2023)

Hypergraphs for Frailty Analysis Research Paper. - Zoe Hancox; Samuel D. Relton; Andrew Clegg; Philip G. Conaghan; Dan Schofield (ICPM Workshops, 2023)

Structured level-2 condition numbers of matrix functions. - Bahar Arslan; Samuel D. Relton; Marcel Schweitzer (CoRR, 2023)

A novel temporal generative adversarial network for electrocardiography anomaly detection. - Jing Qin 007; Fujie Gao; Zumin Wang; David C. Wong 004; Zhibin Zhao; Samuel D. Relton; Hui Fang 003 (Artif. Intell. Medicine, 2023)

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance. - Oliver Mills; Nishant Ravikumar; Philip G. Conaghan; Samuel D. Relton (BMVC, 2024)

Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement Using Electronic Health Records. - Zoe Hancox; Sarah R. Kingsbury; Andrew Clegg; Philip G. Conaghan; Samuel D. Relton (ICMLA, 2024)

A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records. - Zoe Hancox; Allan Pang; Philip G. Conaghan; Sarah R. Kingsbury; Andrew Clegg; Samuel D. Relton (Artif. Intell. Medicine, 2024)

Time-Series Patient-Reported Data and LSTM Predicting Hospital Utilisation During Chemotherapy. - Zuzanna Wójcik; Vania Dimitrova; Lorraine Warrington; Galina Velikova; Kate Absolom; Samuel D. Relton (ICHI, 2025)

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders. - Benjamin Keel; Aaron Quyn; David G. Jayne; Maryam Mohsin; Samuel D. Relton (MIUA (2), 2025)