An Abstraction-Based Data Model for Information Retrieval. - Richard A. McAllister; Rafal A. Angryk (Australasian Conference on Artificial Intelligence, 2009)

Taxonomic Dimensionality Reduction in Bayesian Text Classification. - Richard McAllister 001; John Sheppard 001 (ICMLA (1), 2012)

Abstracting for Dimensionality Reduction in Text Classification. - Richard A. McAllister; Rafal A. Angryk (Int. J. Intell. Syst., 2013)

Deep learning for wind vector determination. - Richard McAllister 001; John Sheppard 001 (SSCI, 2017)

Evaluating Spatial Generalization of Stacked Autoencoders in Wind Vector Determination. - Richard McAllister 001; John Sheppard 001 (FLAIRS, 2018)

Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics. - Richard McAllister 001; John Sheppard 001 (IJCNN, 2019)

Enhancing Neural Networks with Locality-Sensitive Clustering of Internal Representations. - Richard A. McAllister; John W. Sheppard (IJCNN, 2020)