Working with Expert Systems: Three Case Studies. - Peter Senker; Joe Townsend; Joanna Buckingham (AI Soc., 1989)

SPECTRa-T: Machine-Based Data Extraction and Semantic Searching of Chemistry e-Theses. - Jim Downing; Matt J. Harvey; Peter B. Morgan; Peter Murray-Rust; Henry S. Rzepa; Diana C. Stewart; Alan P. Tonge; Joe Townsend (J. Chem. Inf. Model., 2010)

The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age. - Sam E. Adams; Pablo de Castro; Pablo Echenique; Jorge Estrada; Marcus D. Hanwell; Peter Murray-Rust; Paul Sherwood; Jens Thomas; Joe Townsend (J. Cheminformatics, 2011)

Ami - The chemist's amanuensis. - Brian Brooks; Adam L. Thorn; Matthew Smith 003; Peter Matthews; Shaoming Chen; Ben O'Steen; Sam E. Adams; Joe Townsend; Peter Murray-Rust (J. Cheminformatics, 2011)

The semantic architecture of the World-Wide Molecular Matrix (WWMM). - Peter Murray-Rust; Sam E. Adams; Jim Downing; Joe Townsend; Yong Zhang (J. Cheminformatics, 2011)

The semantics of Chemical Markup Language (CML): dictionaries and conventions. - Peter Murray-Rust; Joe Townsend; Sam E. Adams; Weerapong Phadungsukanan; Jens Thomas (J. Cheminformatics, 2011)

CMLLite: a design philosophy for CML. - Joe Townsend; Peter Murray-Rust (J. Cheminformatics, 2011)

The semantics of Chemical Markup Language (CML) for computational chemistry: CompChem. - Weerapong Phadungsukanan; Markus Kraft; Joe Townsend; Peter Murray-Rust (J. Cheminformatics, 2012)

Note on Naive Bayes Based on Binary Descriptors in Cheminformatics. - Joe Townsend; Robert C. Glen; Hamse Y. Mussa (J. Chem. Inf. Model., 2012)

Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm. - Joe Townsend; Ed Keedwell; Antony Galton (GECCO (Companion), 2013)

Artificial Development of Biologically Plausible Neural-Symbolic Networks. - Joe Townsend; Ed Keedwell; Antony Galton (Cogn. Comput., 2014)

ERIC: Extracting Relations Inferred from Convolutions. - Joe Townsend; Theodoros Kasioumis; Hiroya Inakoshi (ACCV (3), 2020)

Elite BackProp: Training Sparse Interpretable Neurons. - Theodoros Kasioumis; Joe Townsend; Hiroya Inakoshi (NeSy, 2021)

Closing the Neural-Symbolic Cycle: Knowledge Extraction, User Intervention and Distillation from Convolutional Neural Networks. - Kwun Ho Ngan; James Phelan; Esma Mansouri-Benssassi; Joe Townsend; Artur S. d'Avila Garcez (NeSy, 2023)

Discovering Visual Concepts and Rules in Convolutional Neural Networks. - Joe Townsend; Esma Mansouri-Benssassi; Kwun Ho Ngan; Artur d'Avila Garcez (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Symbolic Knowledge Extraction and Distillation into Convolutional Neural Networks to Improve Medical Image Classification. - Kwun Ho Ngan; James Phelan; Joe Townsend; Artur d'Avila Garcez (IJCNN, 2024)