An approach for measuring semantic similarity between words using multiple information sources Y Li, ZA Bandar, D McLean IEEE Transactions on knowledge and data engineering 15 (4), 871-882, 2003 | 1625 | 2003 |
Sentence similarity based on semantic nets and corpus statistics Y Li, D McLean, ZA Bandar, JD O'shea, K Crockett IEEE transactions on knowledge and data engineering 18 (8), 1138-1150, 2006 | 1109 | 2006 |
A conversational intelligent tutoring system to automatically predict learning styles A Latham, K Crockett, D McLean, B Edmonds Computers & Education 59 (1), 95-109, 2012 | 238 | 2012 |
An adaptation algorithm for an intelligent natural language tutoring system A Latham, K Crockett, D McLean Computers & Education 71, 97-110, 2014 | 142 | 2014 |
A comparative study of two short text semantic similarity measures J O’Shea, Z Bandar, K Crockett, D McLean Agent and Multi-Agent Systems: Technologies and Applications: Second KES …, 2008 | 104 | 2008 |
Oscar: An intelligent conversational agent tutor to estimate learning styles AM Latham, KA Crockett, DA McLean, B Edmonds, K O'shea International conference on fuzzy systems, 1-8, 2010 | 84 | 2010 |
Silent talker: a new computer‐based system for the analysis of facial cues to deception J Rothwell, Z Bandar, J O'Shea, D McLean Applied Cognitive Psychology: The Official Journal of the Society for …, 2006 | 73 | 2006 |
A Method for Measuring Sentence Similarity and iIts Application to Conversational Agents. Y Li, Z Bandar, D McLean, J O'shea Flairs, 820-825, 2004 | 66 | 2004 |
On constructing a fuzzy inference framework using crisp decision trees K Crockett, Z Bandar, D Mclean, J O’Shea Fuzzy sets and systems 157 (21), 2809-2832, 2006 | 60 | 2006 |
On global-local artificial neural networks for function approximation DC Wedge, DM Ingram, DA McLean, CG Mingham, ZA Bandar IEEE, 2006 | 57 | 2006 |
Logistic model tree extraction from artificial neural networks D Dancey, ZA Bandar, D McLean IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 49 | 2007 |
Profiling student learning styles with multilayer perceptron neural networks A Latham, K Crockett, D Mclean 2013 IEEE International Conference on Systems, Man, and Cybernetics, 2510-2515, 2013 | 43 | 2013 |
Cluster analysis of twitter data: A review of algorithms KA Crockett, D Mclean, A Latham, N Alnajran Proceedings of the 9th International Conference on Agents and Artificial …, 2017 | 41 | 2017 |
Sentence similarity based on semantic nets and corpus statistics K Crockett, D McLean, JD O’Shea, ZA Bandar, Y Li IEEE Trans. Knowl. Data Eng 18 (8), 1138-1150, 2006 | 40 | 2006 |
ArabChat: An arabic conversational agent M Hijjawi, Z Bandar, K Crockett, D Mclean 2014 6th International Conference on Computer Science and Information …, 2014 | 34 | 2014 |
A fuzzy model for predicting learning styles using behavioral cues in an conversational intelligent tutoring system K Crockett, A Latham, D Mclean, J O'Shea 2013 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2013 | 28 | 2013 |
Benchmarking short text semantic similarity J O'Shea, Z Bandar, K Crockett, D McLean International Journal of Intelligent Information and Database Systems 4 (2 …, 2010 | 28 | 2010 |
Pilot short text semantic similarity benchmark data set: Full listing and description J O'Shea, Z Bandar, K Crockett, D McLean Computing, 2008 | 28 | 2008 |
Adaptive tutoring in an intelligent conversational agent system A Latham, K Crockett, D McLean, B Edmonds Transactions on computational collective intelligence viii, 148-167, 2012 | 27 | 2012 |
On the optimization of T-norm parameters within fuzzy decision trees K Crockett, Z Bandar, D Mclean 2007 IEEE International Fuzzy Systems Conference, 1-6, 2007 | 26 | 2007 |