A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data. - Steven Squires; Rob M. Ewing; Adam Prügel-Bennett; Mahesan Niranjan (ICONIP (5), 2017)

Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data. - Steven Squires; Luis Montesdeoca; Adam Prügel-Bennett; Mahesan Niranjan (ICONIP (2), 2017)

Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length. - Steven Squires; Adam Prügel-Bennett; Mahesan Niranjan (Neural Comput., 2017)

Variational Autoencoder for Non-Negative Matrix Factorization with Exogenous Inputs Applied to Financial Data Modelling. - Luis Montesdeoca; Steven Squires; Mahesan Niranjan (ISPA, 2019)

Minimum description length as an objective function for non-negative matrix factorization. - Steven Squires; Adam Prügel-Bennett; Mahesan Niranjan (CoRR, 2019)

A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation. - Steven Squires; Adam Prügel-Bennett; Mahesan Niranjan (CoRR, 2019)

Non-negative matrix factorisation: algorithms and applications. - Steven Squires (2019)

Breast density distribution among the Saudi screening population and correlation between radiologist visual assessment and two automated methods. - 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; et al. (Image Perception, Observer Performance, and Technology Assessment, 2022)

The effect of variable labels on deep learning models trained to predict breast density. - Steven Squires; Elaine F. Harkness; D. Gareth Evans; Susan M. Astley (CoRR, 2022)

Artificial intelligence for image-based breast cancer risk prediction using attention. - Stepan Romanov; Sacha Howell; Elaine Harkness; Megan Bydder; D. Gareth Evans; Steven Squires; Martin Fergie; Susan M. Astley (Computer-Aided Diagnosis, 2023)