Spencer Angus Thomas

Orcid: 0000-0002-9260-1561

According to our database1, Spencer Angus Thomas authored at least 22 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Cluster Metric Sensitivity to Irrelevant Features.
CoRR, 2024

2023
Decreasing Admissions but Increasing Readmissions for Mental Health in-Patient Treatment in Scotland, UK.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022
Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization.
IEEE Trans. Neural Networks Learn. Syst., 2022

Information maximization clustering via multi-view self-labelling.
Knowl. Based Syst., 2022

The Impact of COVID-19 on Mental Health Services in Scotland, UK.
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.
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.
CoRR, 2021

Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data.
Proceedings of the Public Health and Informatics, 2021

Combining Image Features and Patient Metadata to Enhance Transfer Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Primary Care Prostate Cancer Case Ascertainment.
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).
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?
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

An investigation of aggregated transfer learning for classification in digital pathology.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Analysis of Primary Care Computerised Medical Records with Deep Learning.
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.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Dimensionality reduction of mass spectrometry imaging data using autoencoders.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014
Reconstructing biological gene regulatory networks: where optimization meets big data.
Evol. Intell., 2014

2013
Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms.
J. Bioinform. Comput. Biol., 2013

Reconstructing regulatory networks in Streptomyces using evolutionary algorithms.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
Combining genetic oscillators and switches using evolutionary algorithms.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012


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