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ORCIDSpencer Angus Thomas
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2020 – today
- 2024
[j6]Foivos Ntelemis
, Yaochu Jin, Spencer Angus Thomas:
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12938-12952 (2024)- [c16]William Tapper, Gustavo Carneiro, Mohammad Hussein, Phillip Evans, Spencer Angus Thomas:
Effects of Primary Capsule Shapes and Sizes in Capsule Networks. ICPR (5) 2024: 141-158 - [i7]Miles McCrory, Spencer Angus Thomas:
Cluster Metric Sensitivity to Irrelevant Features. CoRR abs/2402.12008 (2024) - 2023
- [c15]Elizabeth A. Cooke, Agnieszka Lemanska, Spencer Angus Thomas:
Decreasing Admissions but Increasing Readmissions for Mental Health in-Patient Treatment in Scotland, UK. ICIMTH 2023: 145-148 - [c14]Taranpreet Rai, Ioannis Papanikolaou, N. Dave, A. Morisi, B. Bacci, Spencer Angus Thomas, R. M. La Ragione, Kevin Wells:
Investigating the potential of untrained convolutional layers and pruning in computational pathology. Digital and Computational Pathology 2023 - 2022
- [j5]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Information maximization clustering via multi-view self-labelling. Knowl. Based Syst. 250: 109042 (2022) - [j4]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7461-7474 (2022) - [c13]Spencer Angus Thomas:
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers. CIBCB 2022: 1-8 - [c12]Elizabeth A. Cooke, Agnieszka Lemanska, Jennifer Livings, Spencer Angus Thomas:
The Impact of COVID-19 on Mental Health Services in Scotland, UK. ICIMTH 2022: 59-62 - [i6]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. CoRR abs/2202.06914 (2022) - [i5]Spencer Angus Thomas:
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers. CoRR abs/2207.10469 (2022) - 2021
- [c11]Spencer Angus Thomas:
Combining Image Features and Patient Metadata to Enhance Transfer Learning. EMBC 2021: 2660-2663 - [c10]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:
Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data. MIE 2021: 759-763 - [i4]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Information Maximization Clustering via Multi-View Self-Labelling. CoRR abs/2103.07368 (2021) - [i3]Spencer Angus Thomas:
Combining Image Features and Patient Metadata to Enhance Transfer Learning. CoRR abs/2110.05239 (2021) - [i2]Spencer Angus Thomas:
Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion. CoRR abs/2111.14388 (2021) - 2020
- [c9]Agnieszka Lemanska, Sara Faithfull, Harshana Liyanage, Sophie Otter, Marina Romanchikova, Julian Sherlock, Nadia A. S. Smith, Spencer Angus Thomas, Simon de Lusignan:
Primary Care Prostate Cancer Case Ascertainment. MIE 2020: 1369-1370 - [i1]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization. CoRR abs/2011.04094 (2020)
2010 – 2019
- 2019
- [j3]Spencer Angus Thomas, Nadia A. S. Smith, Valerie N. Livina, Ivelina Yonova, Rebecca Webb, Simon de Lusignan:
Analysis of Primary Care Computerized Medical Records (CMR) Data With Deep Autoencoders (DAE). Frontiers Appl. Math. Stat. 5: 42 (2019) - [c8]Simon de Lusignan, Nadia A. S. Smith, Valerie N. Livina, Ivelina Yonova, Rebecca Webb, Spencer Angus Thomas:
Analysis of Primary Care Computerised Medical Records with Deep Learning. EFMI-STC 2019: 249-250 - [c7]Taranpreet Rai, A. Morisi, B. Bacci, N. J. Bacon, Spencer Angus Thomas, R. M. La Ragione, M. Bober, Kevin Wells:
An investigation of aggregated transfer learning for classification in digital pathology. Digital Pathology 2019: 109560U - [c6]Taranpreet Rai, A. Morisi, B. Bacci, N. J. Bacon, Spencer Angus Thomas, R. M. La Ragione, M. Bober, Kevin Wells:
Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images? Digital Pathology 2019: 109560V - 2017
- [c5]Spencer Angus Thomas, Yaochu Jin, Josephine Bunch, Ian S. Gilmore:
Enhancing classification of mass spectrometry imaging data with deep neural networks. SSCI 2017: 1-8 - 2016
- [c4]Spencer Angus Thomas, Alan M. Race, Rory T. Steven, Ian S. Gilmore, Josephine Bunch:
Dimensionality reduction of mass spectrometry imaging data using autoencoders. SSCI 2016: 1-7 - 2014
- [j2]Spencer Angus Thomas, Yaochu Jin:
Reconstructing biological gene regulatory networks: where optimization meets big data. Evol. Intell. 7(1): 29-47 (2014) - 2013
- [j1]Spencer Angus Thomas, Yaochu Jin:
Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms. J. Bioinform. Comput. Biol. 11(3) (2013) - [c3]Spencer Angus Thomas, Yaochu Jin:
Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. EMO 2013: 696-709 - [c2]Spencer Angus Thomas, Yaochu Jin, Emma Laing, Colin P. Smith:
Reconstructing regulatory networks in Streptomyces using evolutionary algorithms. UKCI 2013: 24-30 - 2012
- [c1]Spencer Angus Thomas, Yaochu Jin:
Combining genetic oscillators and switches using evolutionary algorithms. CIBCB 2012: 28-34
Coauthor Index
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