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Steven Squires
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Books and Theses
- 2019
- [b1]Steven Squires:
Non-negative matrix factorisation: algorithms and applications. University of Southampton, UK, 2019
Journal Articles
- 2017
- [j1]Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length. Neural Comput. 29(8): 2164-2176 (2017)
Conference and Workshop Papers
- 2023
- [c5]Stepan Romanov, Sacha Howell, Elaine Harkness, Megan Bydder, D. Gareth Evans, Steven Squires, Martin Fergie, Susan M. Astley:
Artificial intelligence for image-based breast cancer risk prediction using attention. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [c4]Areej S. Aloufi, Abdulrahman AlNaeem, Abeer Almousa, Mehreen Malik, Amani Hashem, Fatina Altahan, Mahmoud Elsharkawi, Manal ElMahdy, Reham Altokhais, Sara Alsultan, Rasha Sahloul, Khaled Alzimami, Steven Squires, Elaine F. Harkness, Susan M. Astley:
Breast density distribution among the Saudi screening population and correlation between radiologist visual assessment and two automated methods. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2019
- [c3]Luis Montesdeoca, Steven Squires, Mahesan Niranjan:
Variational Autoencoder for Non-Negative Matrix Factorization with Exogenous Inputs Applied to Financial Data Modelling. ISPA 2019: 312-317 - 2017
- [c2]Steven Squires, Rob M. Ewing, Adam Prügel-Bennett, Mahesan Niranjan:
A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data. ICONIP (5) 2017: 782-790 - [c1]Steven Squires, Luis Montesdeoca, Adam Prügel-Bennett, Mahesan Niranjan:
Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data. ICONIP (2) 2017: 873-881
Informal and Other Publications
- 2022
- [i3]Steven Squires, Elaine F. Harkness, D. Gareth Evans, Susan M. Astley:
The effect of variable labels on deep learning models trained to predict breast density. CoRR abs/2210.04106 (2022) - 2019
- [i2]Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
Minimum description length as an objective function for non-negative matrix factorization. CoRR abs/1902.01632 (2019) - [i1]Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation. CoRR abs/1906.05912 (2019)
Coauthor Index
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