Steven Squires

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 7

Top Topics

Minimum Description Length

Negative Matrix Factorization

Latent Semantic Space

Top Venues

Publications

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 (2022)
Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation. CoRR (2019)
Luis Montesdeoca, Steven Squires, Mahesan Niranjan
Variational Autoencoder for Non-Negative Matrix Factorization with Exogenous Inputs Applied to Financial Data Modelling. ISPA (2019)
Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan
Minimum description length as an objective function for non-negative matrix factorization. CoRR (2019)
Steven Squires, Rob Ewing, Adam Prügel-Bennett, Mahesan Niranjan
A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data. ICONIP (5) (2017)
Steven Squires, Luis Montesdeoca, Adam Prügel-Bennett, Mahesan Niranjan
Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data. ICONIP (2) (2017)
Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan
Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length. Neural Comput. 29 (8) (2017)