An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data. - Matias Garcia-Constantino; Frans Coenen; P.-J. Noble; Alan D. Radford; Christian Setzkorn; Aine Tierney (MLDM, 2011)

A Semi-Automated Approach to Building Text Summarisation Classifiers. - Matias Garcia-Constantino; Frans Coenen; Peter-J. Noble; Alan D. Radford; Christian Setzkorn (MLDM, 2012)

Questionnaire Free Text Summarisation Using Hierarchical Classification. - Matias Garcia-Constantino; Frans Coenen; P.-J. Noble; Alan D. Radford (SGAI Conf., 2012)

Tick Parasitism Classification from Noisy Medical Records. - James O'Neill; Danushka Bollegala; Peter-J. Noble; Alan D. Radford (KDH@IJCAI, 2019)

Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. - Mercedes Argüello Casteleiro; Robert Stevens 001; Jose Julio Des Diz; Chris Wroe; Maria Jesus Fernandez Prieto; Nava Maroto; Diego Maseda-Fernandez; George Demetriou; Simon Peters; Peter-J. Noble; Phil H. Jones; Jo Dukes-McEwan; et al. (J. Biomed. Semant., 2019)

Mapping tweets to a known disease epidemiology; a case study of Lyme disease in the United Kingdom and Republic of Ireland. - John S. P. Tulloch; Roberto Vivancos; Rob M. Christley; Alan D. Radford; Jenny C. Warner (J. Biomed. Informatics X, 2019)

Visualising spatio-temporal health data: the importance of capturing the 4th dimension. - Alison C. Hale; Charlotte Appleton; Peter-J. Noble; Gina L. Pinchbeck; Barry Rowlingson; Peter J. Diggle; Alan D. Radford; Christopher P. Jewell (CoRR, 2022)

Evaluating ChatGPT text-mining of clinical records for obesity monitoring. - Ivo S. Fins; Heather Davies; Sean Farrell; Jose R. Torres; Gina L. Pinchbeck; Alan D. Radford; Peter-John Noble (CoRR, 2023)