Steven Squires

According to our database, Steven Squires authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

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

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, Steven Squires, Elaine F. Harkness, Susan M. Astley

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2019

Non-negative matrix factorisation: algorithms and applications.

Steven Squires

PhD thesis, 2019

A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation.

Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan

CoRR, 2019

Minimum description length as an objective function for non-negative matrix factorization.

Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan

CoRR, 2019

Variational Autoencoder for Non-Negative Matrix Factorization with Exogenous Inputs Applied to Financial Data Modelling.

Luis Montesdeoca, Steven Squires, Mahesan Niranjan

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2017

Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length.

Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan

Neural Comput., 2017

Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data.

Steven Squires, Luis Montesdeoca, Adam Prügel-Bennett, Mahesan Niranjan

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data.

Steven Squires, Rob M. Ewing, Adam Prügel-Bennett, Mahesan Niranjan

Proceedings of the Neural Information Processing - 24th International Conference, 2017