Combining genetic oscillators and switches using evolutionary algorithms. - Spencer Angus Thomas; Yaochu Jin (CIBCB, 2012)

Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. - Spencer Angus Thomas; Yaochu Jin (EMO, 2013)

Reconstructing regulatory networks in Streptomyces using evolutionary algorithms. - Spencer Angus Thomas; Yaochu Jin; Emma Laing; Colin P. Smith (UKCI, 2013)

Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms. - Spencer Angus Thomas; Yaochu Jin (J. Bioinform. Comput. Biol., 2013)

Reconstructing biological gene regulatory networks: where optimization meets big data. - Spencer Angus Thomas; Yaochu Jin (Evol. Intell., 2014)

Dimensionality reduction of mass spectrometry imaging data using autoencoders. - Spencer Angus Thomas; Alan M. Race; Rory T. Steven; Ian S. Gilmore; Josephine Bunch (SSCI, 2016)

Enhancing classification of mass spectrometry imaging data with deep neural networks. - Spencer Angus Thomas; Yaochu Jin; Josephine Bunch; Ian S. Gilmore (SSCI, 2017)

Analysis of Primary Care Computerised Medical Records with Deep Learning. - Simon de Lusignan; Nadia A. S. Smith; Valerie N. Livina; Ivelina Yonova; Rebecca Webb; Spencer Angus Thomas (EFMI-STC, 2019)

An investigation of aggregated transfer learning for classification in digital pathology. - Taranpreet Rai; A. Morisi; B. Bacci; N. J. Bacon; Spencer Angus Thomas; R. M. La Ragione; M. Bober; Kevin Wells (Digital Pathology, 2019)

Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images? - Taranpreet Rai; A. Morisi; B. Bacci; N. J. Bacon; Spencer Angus Thomas; R. M. La Ragione; M. Bober; Kevin Wells (Digital Pathology, 2019)

Analysis of Primary Care Computerized Medical Records (CMR) Data With Deep Autoencoders (DAE). - Spencer Angus Thomas; Nadia A. S. Smith; Valerie N. Livina; Ivelina Yonova; Rebecca Webb; Simon de Lusignan (Frontiers Appl. Math. Stat., 2019)

Primary Care Prostate Cancer Case Ascertainment. - Agnieszka Lemanska; Sara Faithfull; Harshana Liyanage; Sophie Otter; Marina Romanchikova; Julian Sherlock; Nadia A. S. Smith; Spencer Angus Thomas; Simon de Lusignan (MIE, 2020)

Combining Image Features and Patient Metadata to Enhance Transfer Learning. - Spencer Angus Thomas (EMBC, 2021)

Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data. - Agnieszka Lemanska; Uy Hoang; Nathan Jeffreys; Clare Bankhead; Kam Bhui; Filipa Ferreira; Sally Harcourt; Anthony James; Harshana Liyanage; Brian D. Nicholson; Julian Sherlock; Gillian E. Smith; et al. (MIE, 2021)

Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion. - Spencer Angus Thomas (CoRR, 2021)

Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers. - Spencer Angus Thomas (CIBCB, 2022)

The Impact of COVID-19 on Mental Health Services in Scotland, UK. - Elizabeth A. Cooke; Agnieszka Lemanska; Jennifer Livings; Spencer Angus Thomas (ICIMTH, 2022)

Information maximization clustering via multi-view self-labelling. - Foivos Ntelemis; Yaochu Jin; Spencer Angus Thomas (Knowl. Based Syst., 2022)

Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization. - Foivos Ntelemis; Yaochu Jin; Spencer Angus Thomas (IEEE Trans. Neural Networks Learn. Syst., 2022)

Decreasing Admissions but Increasing Readmissions for Mental Health in-Patient Treatment in Scotland, UK. - Elizabeth A. Cooke; Agnieszka Lemanska; Spencer Angus Thomas (ICIMTH, 2023)

Investigating the potential of untrained convolutional layers and pruning in computational pathology. - Taranpreet Rai; Ioannis Papanikolaou; N. Dave; A. Morisi; B. Bacci; Spencer Angus Thomas; R. M. La Ragione; Kevin Wells (Digital and Computational Pathology, 2023)

Effects of Primary Capsule Shapes and Sizes in Capsule Networks. - William Tapper; Gustavo Carneiro 001; Mohammad Hussein; Phillip Evans; Spencer Angus Thomas (ICPR (5), 2024)

Cluster Metric Sensitivity to Irrelevant Features. - Miles McCrory; Spencer Angus Thomas (CoRR, 2024)

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. - Foivos Ntelemis; Yaochu Jin; Spencer Angus Thomas (IEEE Trans. Neural Networks Learn. Syst., 2024)