| Artificial neural network modelling: An introduction, chapter 1 S Shanmuganathan Artificial neural network modelling, Series: Studies in Computational …, 2016 | 503 | 2016 |
| Self-organising map methods in integrated modelling of environmental and economic systems S Shanmuganathan, P Sallis, J Buckeridge Environmental Modelling & Software 21 (9), 1247-1256, 2006 | 68 | 2006 |
| Applications of image processing in viticulture: A review JL Whalley, S Shanmuganathan The Modelling and Simulation Society of Australia and New Zealand Inc.(MODSIM), 2013 | 43 | 2013 |
| A comparative analysis of opinion mining and sentiment classification in non-english languages N Medagoda, S Shanmuganathan, J Whalley 2013 International Conference on Advances in ICT for Emerging Regions (ICTer …, 2013 | 37 | 2013 |
| Sentiment lexicon construction using SentiWordNet 3.0 N Medagoda, S Shanmuganathan, J Whalley 2015 11th International Conference on Natural Computation (ICNC), 802-807, 2015 | 33 | 2015 |
| Artificial neural network modelling, vol. 628 S Shanmuganathan, S Samarasinghe Cham: Springer International Publishing, 2016 | 29 | 2016 |
| A hybrid approach to modelling the climate change effects on Malaysia’s oil palm yield at the regional scale S Shanmuganathan, A Narayanan, M Mohamed, R Ibrahim, H Khalid Recent Advances on Soft Computing and Data Mining: Proceedings of The First …, 2014 | 28 | 2014 |
| Modelling the climate change effects on Malaysia's oil palm yield S Shanmuganathan, A Narayanan 2012 IEEE symposium on E-learning, E-management and E-services, 1-6, 2012 | 28 | 2012 |
| Data mining methods to generate severe wind gust models S Shanmuganathan, P Sallis Atmosphere 5 (1), 60-80, 2014 | 26 | 2014 |
| Unsupervised artificial neural nets for modeling movie sentiment WB Claster, DQ Hung, S Shanmuganathan 2010 2nd International Conference on Computational Intelligence …, 2010 | 24 | 2010 |
| Data mining techniques for modelling seasonal climate effects on grapevine yield and wine quality S Shanmuganathan, P Sallis, A Narayanan 2010 2nd International Conference on Computational Intelligence …, 2010 | 21 | 2010 |
| Wireless sensor networks for climate data management systems A Ghobakhlou, S Shanmuganthan, P Sallis 18th World IMACS/MODSIM Congress, Cairns, Australia, 13-17, 2009 | 21 | 2009 |
| Sensor data acquisition for climate change modelling S Shanmuganthan, A Ghobakhlou, P Sallis WSEAS Transactions on Circuits and Systems 7 (11), 942-952, 2008 | 19 | 2008 |
| Social area analysis using SOM and GIS: a preliminary research Y Li, S Shanmuganathan Ritsumeikan Center for Asia Pacific Studies (RCAPS) Working paper, 2007 | 17 | 2007 |
| Text Mining of Medical Records for Radiodiagnostic Decision-Making. W Claster, S Shanmuganathan, N Ghotbi J. Comput. 3 (1), 1-6, 2008 | 15 | 2008 |
| Kohonen Self-organising Maps in the Data Mining of wine taster comments P Sallis, S Shanmuganathan, L Pavesi, MCJ Muñoz WIT Transactions on Information and Communication Technologies 40, 125-139, 2008 | 14 | 2008 |
| Unsupervised Artificial Neural Nets for Modelling the effects of climate change on New Zealand Grape Wines,” S Shanmuganathan, P Sallis, A Narayanan In B. Anderssen et al.(eds)/18th IMACS World Congress-MODSIM09 International …, 2009 | 13 | 2009 |
| A system architecture for collaborative environmental modeling research P Sallis, S Shanmuganathan, L Pavesi, MCJ Muñoz 2008 International Symposium on Collaborative Technologies and Systems, 39-47, 2008 | 13* | 2008 |
| An AI based approach to multiple census data analysis for feature selection S Shanmuganathan, Y Li Journal of Intelligent & Fuzzy Systems 31 (2), 859-872, 2016 | 12 | 2016 |
| Keywords based temporal sentiment analysis N Medagoda, S Shanmuganathan 2015 12th international conference on fuzzy systems and knowledge discovery …, 2015 | 12 | 2015 |
