Integrating Symbolic and Subsymbolic Architectures for Parsing Arithmetic Expressions and Natural Language Sentences. - Jonathan A. Tepper; Heather M. Powell; Dominic Palmer-Brown (SNN Symposium on Neural Networks, 1995)

Performance-guided Neural Network for Rapidly Self-Organising Active Network Management. - Sin Wee Lee; Dominic Palmer-Brown; Jonathan A. Tepper; Chris M. Roadknight (HIS, 2002)

A corpus-based connectionist architecture for large-scale natural language parsing. - Jonathan A. Tepper; Heather M. Powell; Dominic Palmer-Brown (Connect. Sci., 2002)

Snap-drift: real-time, performance-guided learning. - Sin Wee Lee; Dominic Palmer-Brown; Jonathan A. Tepper; Chris M. Roadknight (IJCNN, 2003)

Extracting finite structure from infinite language. - T. McQueen; Adrian A. Hopgood; Tony J. Allen; Jonathan A. Tepper (Knowl. Based Syst., 2005)

Does Money Matter? An Artificial Intelligence Approach. - Jane M. Binner; Barry Jones; Graham Kendall; Jonathan A. Tepper; Peter Tiño (JCIS, 2006)

On the importance of sluggish state memory for learning long term dependency. - Jonathan A. Tepper; Mahmud S. Shertil; Heather M. Powell (Knowl. Based Syst., 2016)

Hate Speech Detection on Twitter: Feature Engineering v.s. Feature Selection. - David Robinson; Ziqi Zhang 001; Jonathan A. Tepper (ESWC (Satellite Events), 2018)

Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network. - Ziqi Zhang 001; David Robinson; Jonathan A. Tepper (ESWC, 2018)

A Multi-recurrent Network for Crude Oil Price Prediction. - Oluwatamilore Orojo; Jonathan A. Tepper; T. M. McGinnity; Mufti Mahmud (SSCI, 2019)

Time sensitivity and self-organisation in Multi-recurrent Neural Networks. - Oluwatamilore Orojo; Jonathan A. Tepper; T. M. McGinnity; Mufti Mahmud (IJCNN, 2020)

A novel deep mining model for effective knowledge discovery from omics data. - Abeer Alzubaidi; Jonathan A. Tepper; Ahmad Lotfi (Artif. Intell. Medicine, 2020)

Sluggish State-Based Neural Networks Provide State-of-the-art Forecasts of Covid-19 Cases. - Oluwatamilore Orojo; Jonathan A. Tepper; T. M. McGinnity; Mufti Mahmud (AII, 2021)

The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing. - Oluwatamilore Orojo; Jonathan A. Tepper; T. Martin McGinnity; Mufti Mahmud (INNS DLIA@IJCNN, 2023)