When Universal Access is not quite universal enough: Case studies and lessons to be learned (2018)
Journal Article
Keates, S. (2020). When Universal Access is not quite universal enough: Case studies and lessons to be learned. Universal Access in the Information Society, 19, 133-144. https://doi.org/10.1007/s10209-018-0636-2

While the theory of designing for Universal Access is increasingly understood, there remain persistent issues over realising products and systems that meet the goal of being accessible and usable by the broadest possible set of users. Clearly product... Read More about When Universal Access is not quite universal enough: Case studies and lessons to be learned.

Canonical correlation analysis on data with censoring and error information (2013)
Journal Article
Sun, J., & Keates, S. (2013). Canonical correlation analysis on data with censoring and error information. IEEE Transactions on Neural Networks and Learning Systems, 24(12), 1909-1919. https://doi.org/10.1109/TNNLS.2013.2262949

We developed a probabilistic model for canonical correlation analysis in the case when the associated datasets are incomplete. This case can arise where data entries either contain measurement errors or are censored (i.e., nonignorable missing) due t... Read More about Canonical correlation analysis on data with censoring and error information.

External Examining: an Engineering Subject Centre guide. (2009)
Preprint / Working Paper
Cowan, J. External Examining: an Engineering Subject Centre guide

This handbook was prepared for external examiners and for use in training workshops for newly appointed external examiners.