Spencer Angus Thomas

According to our database, Spencer Angus Thomas authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features.

Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Cluster Metric Sensitivity to Irrelevant Features.

Miles McCrory, Spencer Angus Thomas

CoRR, 2024

Effects of Primary Capsule Shapes and Sizes in Capsule Networks.

William Tapper, Gustavo Carneiro, Mohammad Hussein, Phillip Evans, Spencer Angus Thomas

Proceedings of the Pattern Recognition - 27th International Conference, 2024

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

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Decreasing Admissions but Increasing Readmissions for Mental Health in-Patient Treatment in Scotland, UK.

Elizabeth A. Cooke, Agnieszka Lemanska, Spencer Angus Thomas

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

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

Information maximization clustering via multi-view self-labelling.

Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas

Knowl. Based Syst., 2022

The Impact of COVID-19 on Mental Health Services in Scotland, UK.

Elizabeth A. Cooke, Agnieszka Lemanska, Jennifer Livings, Spencer Angus Thomas

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers.

Spencer Angus Thomas

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021

Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion.

Spencer Angus Thomas

CoRR, 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, Nadia A. S. Smith, Spencer Angus Thomas, John Williams, Simon de Lusignan

Proceedings of the Public Health and Informatics, 2021

Combining Image Features and Patient Metadata to Enhance Transfer Learning.

Spencer Angus Thomas

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

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

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

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

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

Proceedings of the Medical Imaging 2019: Digital Pathology, 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

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

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

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

2017

Enhancing classification of mass spectrometry imaging data with deep neural networks.

Spencer Angus Thomas, Yaochu Jin, Josephine Bunch, Ian S. Gilmore

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Dimensionality reduction of mass spectrometry imaging data using autoencoders.

Spencer Angus Thomas, Alan M. Race, Rory T. Steven, Ian S. Gilmore, Josephine Bunch

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014

Reconstructing biological gene regulatory networks: where optimization meets big data.

Spencer Angus Thomas, Yaochu Jin

Evol. Intell., 2014

2013

Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms.

Spencer Angus Thomas, Yaochu Jin

J. Bioinform. Comput. Biol., 2013

Reconstructing regulatory networks in Streptomyces using evolutionary algorithms.

Spencer Angus Thomas, Yaochu Jin, Emma Laing, Colin P. Smith

Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators.

Spencer Angus Thomas, Yaochu Jin

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012

Combining genetic oscillators and switches using evolutionary algorithms.

Spencer Angus Thomas, Yaochu Jin

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012