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Journal Articles
- 2020
[j4]Abeer Alzubaidi
, Jonathan A. Tepper, Ahmad Lotfi:
A novel deep mining model for effective knowledge discovery from omics data. Artif. Intell. Medicine 104: 101821 (2020)- 2016
- [j3]Jonathan A. Tepper, Mahmud S. Shertil, Heather M. Powell:
On the importance of sluggish state memory for learning long term dependency. Knowl. Based Syst. 96: 104-114 (2016) - 2005
- [j2]T. McQueen, Adrian A. Hopgood, Tony J. Allen, Jonathan A. Tepper:
Extracting finite structure from infinite language. Knowl. Based Syst. 18(4-5): 135-141 (2005) - 2002
- [j1]Jonathan A. Tepper, Heather M. Powell, Dominic Palmer-Brown:
A corpus-based connectionist architecture for large-scale natural language parsing. Connect. Sci. 14(2): 93-114 (2002)
Conference and Workshop Papers
- 2023
- [c10]Oluwatamilore Orojo, Jonathan A. Tepper, T. Martin McGinnity, Mufti Mahmud:
The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing. INNS DLIA@IJCNN 2023: 488-498 - 2021
- [c9]Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud:
Sluggish State-Based Neural Networks Provide State-of-the-art Forecasts of Covid-19 Cases. AII 2021: 384-400 - 2020
- [c8]Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud:
Time sensitivity and self-organisation in Multi-recurrent Neural Networks. IJCNN 2020: 1-7 - 2019
- [c7]Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud:
A Multi-recurrent Network for Crude Oil Price Prediction. SSCI 2019: 2940-2945 - 2018
- [c6]David Robinson, Ziqi Zhang, Jonathan A. Tepper:
Hate Speech Detection on Twitter: Feature Engineering v.s. Feature Selection. ESWC (Satellite Events) 2018: 46-49 - [c5]Ziqi Zhang, David Robinson, Jonathan A. Tepper:
Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network. ESWC 2018: 745-760 - 2006
- [c4]Jane M. Binner, Barry Jones, Graham Kendall, Jonathan A. Tepper, Peter Tiño:
Does Money Matter? An Artificial Intelligence Approach. JCIS 2006 - 2004
- [c3]T. McQueen, Adrian A. Hopgood, Tony J. Allen, Jonathan A. Tepper:
Extracting Finite Structure from Infinite Language. SGAI Conf. 2004: 3-16 - 2002
- [c2]Sin Wee Lee, Dominic Palmer-Brown, Jonathan A. Tepper, Chris M. Roadknight:
Performance-guided Neural Network for Rapidly Self-Organising Active Network Management. HIS 2002: 21-31 - 1995
- [c1]Jonathan A. Tepper, Heather M. Powell, Dominic Palmer-Brown:
Integrating Symbolic and Subsymbolic Architectures for Parsing Arithmetic Expressions and Natural Language Sentences. SNN Symposium on Neural Networks 1995: 81-84
Coauthor Index
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