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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Bianconi, A., Dalgaard, T., Manly, B., Govone, J., Watts, M., Nkala, P., Habermann, G., Huang, Y. and Serapião, A. Methodological difficulties of conducting agroecological studies from a statistical perspective 2013 Agroecology and Sustainable Food Systems
Vol. 37(4), pp. 485-506 
article URL 
Bianconi, A., Govone, J., Manly, B. and Watts, M. The use of a multivariate statistical procedure in analysing the germination process of two bean cultivars, compared with a univariate approach 2011 Proceedings of the International Academy of Ecology and Environmental Sciences
Vol. 1(2), pp. 70-76 
article URL 
Bianconi, A., Watts, M.J., Huang, Y., Serapião, A.B.S., Govone, J.S., Mi, X., Habermann, G. and Ferrarini, A. Applying Computational Intelligence Methods to Modeling and Predicting Common Bean Germination Rates 2014 Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2014, pp. 658-662  inproceedings  
Bradshaw, C., McMahon, C., Miller, P., Lacy, R., Verant, M., Pollack, J., Fordham, D., Watts, M., Prowse, T. and Brook, B. Dynamics of bovine tuberculosis in Australian swamp buffalo based on coupled epidemiological and demographic models 2012 Journal of Applied Ecology
Vol. 49(1), pp. 268-277 
article URL 
Fairweather J., Hunt L., Rosin C., Campbell H., Benge, J. and Watts, M. Understanding kiwifruit management using causal mapping 2006 (Research Report 06/09)  techreport URL 
Fordham, D., Akcakaya, H., Araujo, M., Elith, J., Keith, D., Pearson, R.G., Auld, T., Mellin, C., Morgan, J., Regan, T., Tozer, M., Watts, M., White, M., Wintle, B., Yates, C. and Brook, B. Plant extinction risk under climate change: are forecast range shifts alone a good indicator of species vulnerability to global warming? 2012 Global Change Biology
Vol. 18, pp. 1357-1371 
article  
Fordham, D., Watts, M., Delean, S., Brook, B., Heard, L. and Bull, M. Managed relocation as an adaptation strategy for mitigating climate change threats to the persistence of an endangered lizard 2012 Global Change Biology
Vol. 18(9), pp. 2743-2755 
article URL 
Fordham, D., Wigley, T., Watts M.J. and Brook, B. Strengthening forecasts of climate change impacts with multi-model ensemble averaged projections using MAGICC/SCENGEN 5.3 2012 Ecography
Vol. 35, pp. 4-8 
article URL 
Fordham D.A., A.H.B.B.R.A.A.P.C.E.T.M.W.M. and Araujo, M. Adapted conservation measures are required to save the Iberian lynx in a changing climate 2013 Nature Climate Change
Vol. 3(10), pp. 899-903 
article URL 
Ghobakhlou A., Watts, M. and Kasabov, N. Adaptive speech recognition with evolving connectionist systems 2003 Information sciences
Vol. 156(1-2), pp. 71-83 
article URL 
Ghobakhlou A., Watts, M. and Kasabov, N. On-line expansion of output space in evolving fuzzy neural networks 2000 Proceedings of International Conference on Neural Information Processing (ICONIP) 2000. Taejon, Korea, pp. 891-896  inproceedings URL 
Haby, N., Prowse, T., Gregory, S., Watts, M., Delean, S., Fordham, D., Foulkes, J. and Brook, B. Scale dependency of metapopulation models used to predict climate change impacts on small mammals 2013 Ecography
Vol. 36, pp. 832-841 
article URL 
Han, B. and Watts, M. An analysis of factors contributing to international student success in an information technology programme 2016 2016 CRIE International Conference: Trends and Issues in International Education, 19-20 January, 2016, Auckland, New Zealand  inproceedings  
Harris, J., Fordham, D., Mooney, P., Pedler, L., Paton, D., Stead, M., Watts, M., Araújo, M. and Akçakaya, R. Managing the long-term persistence of a rare cockatoo under climate change 2012 Journal of Applied Ecology
Vol. 49, pp. 785-794 
article URL 
Kasabov N., Kim J, Watts, M. and Gray, A. FuNN/2 - A fuzzy neural network architecture for adaptive learning and knowledge acquisition in multi-modular distributed environments 1997 Information Sciences
Vol. 101(3-4), pp. 155-175 
article URL 
Kasabov N., Kozma R., Kilgour R., Laws M., Taylor J., Watts, M. and Gray, A. Hybrid connectionist-based methods and systems for speech data analysis and phoneme-based speech recognition 1999 Neuro-Fuzzy Techniques for Intelligent Information Processing, pp. 241-26  incollection URL 
Kasabov, N., Kozma, R. and Watts, M.J. Phoneme-based speech recognition via fuzzy neural networks modeling and learning 1998 Information Sciences
Vol. 110(1-2), pp. 61-79 
article  
Kasabov, N. and Watts, M. Spatial-Temporal Adaptation in Evolving Fuzzy Neural Networks for On-line Adaptive Phoneme Recognition 1999 (TR99/03)  techreport URL 
Kasabov N.K., Kozma R., Kilgour R., Laws M., Taylor J., Watts, M. and Gray, A. A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks 1997 Progress in Connectionist-Based Information Systems, Proceedings of the ICONIP / ANZIIS / ANNES '97. Dunedin, pp. 1055-1060  inproceedings  
Kasabov N.K., Tuck, D. and Watts, M. Implementing knowledge and data fusion in a versatile software environment for adaptive learning and decision-making 1999 Proceedings of the Second International Conference on Information Fusion (FUSION'99), International Society of Information Fusion (ISIF), pp. 455-462  inproceedings URL 
Kasabov N.K. and Watts, M. Genetic algorithms for structural optimization, dynamic adaptation and automated design of fuzzy neural networks 1997 Proceedings of ICNN '97 Conference. Houston, Texas, pp. 2546-2549  inproceedings URL 
Lam, A., Watts, M.J., Wu, D. and Estévez, P. IEEE CIS Social Media: Have you joined our online community? 2012 IEEE Computational Intelligence
Vol. 7(1), pp. 4-5,79 
article  
Laws M., Kilgour, R. and Watts, M. Analysis of the New Zealand English and Maori on-line translator 2000 Proceedings of the Fifth Joint Conference on Information Sciences. Atlantic City, pp. 848-851  inproceedings  
Laws, M. and Watts, M. Polynesian translation system 2003 Neuro-Computing and Evolving Intelligence, November 20-21, 2003, Auckland, New Zealand  inproceedings  
Moyle, S.A. and Watts, M. Fuzzy Neural Networks in a Palm Environment 2002 Proceedings of the Fourteenth National Conference on Innovative Applications of Artificial Intelligence / IAAI-02 Eighteenth National Conference on Artificial Intelligence (AAAI-02), pp. 1008-1009  inproceedings  
Moyle, S. and Watts, M. Neural Nets Raise the Roof 2003 IEEE Intelligent Systems
Vol. 18(1), pp. 8-10 
article URL 
Moyle, S. and Watts, M. Fuzzy Neural Networks (FuNN) in the Palm Environment 2002   techreport URL 
Moyle, S. and Watts, M. The Roof Maintenance Problem - a Fuzzy Expert System 2001 Proceedings of the Fifth Biannual Conference on Artificial Neural Networks and Expert Systems (ANNES2001), pp. 213-217  inproceedings  
Moyle, S. and Watts, M. The roof maintenance problem — a fuzzy expert system 2001   techreport URL 
Pollock R., Lane, T. and Watts, M. A Kohonen Self-Organizing Map for the functional classification of proteins based on one-dimensional sequence information 2002 Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2002, pp. 189-192  inproceedings URL 
Pontin, D., Schliebs, S., Worner, S. and Watts, M. Finding relevant data in noisy, complex ecological times series: a comparison of two feature selection methods 2011 Ecological Modelling
Vol. ?, pp. ? 
article URL 
Pontin, D., Watts, M. and Worner, S. Using Multi-Layer Perceptrons to Predict the Presence of Jellyfish of the Genus Physalia at New Zealand Beaches 2008 International Joint Conference on Neural Networks 2008, Hong Kong, June 1-6, 2008., pp. 1171-1176  inproceedings URL 
Pontin D.R., Worner, S. and Watts, M. Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons 2008 Proceedings of ICONIP 2008, LNCS 5506, pp. 907-914  inproceedings URL 
Prowse, T., Johnson, C., Lacy, R., Bradshaw, C., Pollak, J., Watts, M. and Brook, B. No need for disease: testing extinction hypotheses for the thylacine using multi-species metamodels 2013 Journal of Animal Ecology
Vol. 82(2), pp. 355-364 
article  
Tuck D., Watts. M.J., Song, Q. and Kasabov, N. A practical and flexible environment for adaptive knowledge and data fusion applications 1999 Proceedings of International Conference On Applications of Intelligent Systems, Melbourne, Australia  inproceedings URL 
Ward R., Purvis M., Raykov R., Zhang F. and Watts, M. An architecture for distributed connectionist computation 1997 Progress in Connectionist-Based Information Systems, Proceedings of the ICONIP / ANZIIS / ANNES '97. Dunedin, pp. 721-724  inproceedings URL 
Watts, M. Imputing missing data with evolving connectionist systems 20 13Th International Conference on Neuro-Computing and Evolving Intelligence, 19-20 February, 2015, Auckland, New Zealand  inproceedings  
Watts, M. Evolving Connectionist Systems can Predict Outbreaks of the Aphid Rhopalosiphum padi 2014 Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2014, pp. 646-650  inproceedings  
Watts, M. Using data clustering as a method of estimating the risk of establishment of bacterial crop diseases 2011 Computational Ecology and Software
Vol. 1(1), pp. 1-13 
article URL 
Watts, M. Towards a formalisation of evolving connectionist systems 2010 Artificial Neural Networks  incollection  
Watts, M. A decade of Kasabov’s Evolving Connectionist Systems: A Review 2009 IEEE Transactions on Systems, Man and Cybernetics Part C - Applications and Reviews
Vol. 39(3), pp. 253-269 
article URL 
Watts, M. Nominal-Scale Evolving Connectionist Systems 2006 Proceedings of 2006 International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, Canada,, pp. 4057-4061  inproceedings URL 
Watts, M. ANN Rule Extraction using Evolutionary Programmed Fuzzy Membership Functions 2005 International Journal of Information Technology: Special Issue on Evolutionary Algorithm and Advanced Learning System
Vol. 11(10), pp. 45-53 
article URL 
Watts, M. ANN Rule Extraction using Evolutionary Programmed Fuzzy Membership Functions 2005 Proceedings of 2005 International Conference on Intelligent Computing (ICIC 2005), Hefei, PRC, pp. 2517-2526  inproceedings  
Watts, M. Fuzzy Rule Extraction from Simple Evolving Connectionist Systems 2004 International Journal of Computational Intelligence and Applications, Special Issue on Neuro-Computing and Hybrid Methods for Evolving Intelligence
Vol. 4(3), pp. 299-308 
article URL 
Watts, M. Evolving connectionist systems: characterisation, simplification, formalisation, explanation and optimisation 2004 School: University of Otago  phdthesis URL 
Watts, M. Fuzzy rule extraction from simple evolving connectionist systems 2003 Neuro-Computing and Evolving Intelligence, November 20-21, 2003, Auckland, New Zealand  inproceedings  
Watts, M. Evolving connectionist systems for biochemical applications 1999 Emerging Knowledge Engineering and Connectionist-based Systems (Proceedings of the ICONIP/ANZIIS/ANNES'99 Workshop "Future directions for intelligent systems and information sciences", Dunedin, 22-23 Nov.1999). Dunedin, pp. 147-151  inproceedings  
Watts, M. An investigation of the properties of evolving fuzzy neural networks 1999 Proceedings of International Conference on Neural Information Processing (ICONIP) 1999. Perth, Australia, pp. 217-221  inproceedings URL 
Watts, M., Albakry, K., Choe, K., Han, B., Hookings, A., Fonua, H., Kumar, R. and Ahmadi, K. Experiences with a student laptop roll-out for international students 2016 2016 CRIE International Conference: Trends and Issues in International Education, 19-20 January, 2016, Auckland, New Zealand  inproceedings  
Watts, M., Bianconi, A., Serapiao, A., Govone, J. and von Zuben, C. The Effectiveness of Artificial Neural Networks in Modelling the Nutritional Ecology of a Blowfly Species 2011 Ecological Modelling, pp. 97-114  incollection  
Watts, M., Fordham, D., Akcakaya, H., Aiello-Lammens, M. and Brook, B. Tracking metapopulation range margin changes using geographical centroids of patches weighted by population size and density 2013 Ecological Modelling
Vol. 269, pp. 61-69 
article URL 
Watts, M. and Kasabov, N. Neuro-genetic tools and techniques 1999 Neuro-Fuzzy Techniques for Intelligent Information Processing, pp. 97-110  incollection URL 
Watts, M. and Kasabov, N. Hybrid Evolutionary-, Constructive-, and Evolving Fuzzy Neural Networks 2015 Handbook on Computational Intelligence, pp. 745-772  incollection  
Watts, M. and Kasabov, N. Evolutionary Optimisation of Evolving Connectionist Systems 2002 Proceedings of the Congress on Evolutionary Computation (CEC) 2002, pp. 606-610  inproceedings URL 
Watts, M. and Kasabov, N. Simple evolving connectionist systems and experiments on isolated phoneme recognition 2000 Proceedings of the first IEEE conference on evolutionary computation and neural networks. San Antonio, pp. 232-239  inproceedings URL 
Watts, M. and Kasabov, N. Genetic algorithms for the design of fuzzy neural networks 1998 Proceedings of ICONIP'98 Conference. Kitakyushu, Japan, pp. 793-796  inproceedings URL 
Watts, M., Li, Y., Russell, B., Mellin, C., Connell, S. and Fordham, D. A novel method for
mapping reefs and subtidal rocky habitats using artificial neural networks
2011 Ecological Modelling
Vol. 222(15), pp. 2606-2614 
article  
Watts, M. and Worner, S. Modelling Insect Habitat Suitability with Artificial Neural Networks 2010 Insect Habitats: Characteristics, Diversity and Management  incollection  
Watts, M. and Worner, S. Using artificial neural networks to predict the distribution of bacterial crop diseases from biotic and abiotic factors 2012 Computational Ecology and Software
Vol. 2(1), pp. 70-79 
article URL 
Watts, M. and Worner, S. Improving cluster-based methods for investigating potential for insect species establishment: region-specific risk factors 2011 Computational Ecology and Software
Vol. 1(3), pp. 138-145 
article URL 
Watts, M. and Worner, S. Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering 2009 Ecological Modelling
Vol. 220(6), pp. 821-829 
article URL 
Watts, M. and Worner, S. Using Artificial Neural Networks to Determine the Relative Contribution of Abiotic Factors Influencing the Establishment of Insect Pest Species 2008 Ecological Informatics
Vol. 3(1), pp. 64-74 
article URL 
Watts, M. and Worner, S. Comparing Ensemble and Cascaded Neural Networks that Combine Biotic and Abiotic Variables to Predict Insect Species Distribution 2008 Ecological Informatics
Vol. 3(6), pp. 354-366 
article URL 
Watts, M. and Worner, S. Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors using Multi-layer Perceptrons 2008 Proceedings of ICONIP 2008, LNCS 5506, pp. 899-906  inproceedings URL 
Watts, M. and Worner, S. Further Sensitivity Analysis of Simple Evolving Connectionist Systems Applied to the Lincoln Aphid Data Set 2007   techreport URL 
Watts, M. and Worner, S. Comparison of Multi-Layer Perceptrons and Simple Evolving Connectionist Systems over the Lincoln Aphid Data Set 2007   techreport URL 
Watts, M. and Worner, S. Using Multi-Layer Perceptrons to Model the Lincoln Aphid Data Set 2007   techreport URL 
Watts, M. and Worner, S. Comparison of a Self Organising Map and Simple Evolving Connectionist System for Predicting Insect Pest Establishment 2006 International Journal of Information Technology
Vol. 12(6), pp. 35-42 
article URL 
Watts, M. and Worner, S. Using MLP to Determine Abiotic Factors Influencing the Establishment of Insect Pest Species 2006 Proceedings of 2006 International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, Canada, pp. 3506-3511  inproceedings URL 
Watts, M. and Worner, S. Null-model Validation of MLP Input Contribution Analysis in Ecology 2006 6th International Conference on Hybrid Intelligent Systems (HIS 06') and 4th Conference on Neuro-Computing and Evolving Intelligence (NCEI ‘06). 13-15 December, AUT Technology Park, Auckland, New Zealand  inproceedings  
Watts, M. and Worner, S. Comparison of Artificial Neural Networks Models for Predicting Insect Pest Establishment 2005 Proceedings of 2005 International Conference on Intelligent Computing (ICIC 2005), Hefei, PRC, pp. 520-529  inproceedings  
Watts M. J., Major L., Kasabov N.K. and Tate, W. Neural Network Analysis of Protein Synthesis Termination Signal Efficiency 2001 Proceedings of International Conference on Neural Information Processing (ICONIP) 2001, Shanghai, China, pp. 975-980  inproceedings URL 
Watts M.J. and Kasabov, N. Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy 2001 Proceedings of the Congress on Evolutionary Computation (CEC) 2001. Seoul, Korea, pp. 1335-1342  inproceedings URL 
Watts M.J., Kasabov, N. and Middlemiss, M. mRNA splice site prediction with evolving connectionist systems 1999 FAOBMB Genome Diversity and Bioinformatics, Dunedin, New Zealand, November 28th to December 3rd 1999  inproceedings  
Watts M.J., Major, L. and Tate, W. Evolutionary Optimisation of Multi-layer Perceptrons for Modelling Protein Synthesis Termination Signal Efficiency 2002 Proceedings of the Congress on Evolutionary Computation (CEC) 2002, pp. 193-198  inproceedings  
Watts M.J., Woodford, B. and Kasabov, N. FuzzyCOPE - a software environment for building intelligent systems - the past, the present and the future 1999 Emerging Knowledge Engineering and Connectionist-based Systems (Proceedings of the ICONIP/ANZIIS/ANNES'99 Workshop "Future directions for intelligent systems and information sciences", Dunedin, 22-23 Nov.1999). Dunedin, pp. 188-192  inproceedings URL 
Watts M.J., Worner S.P., Lankin G.O. and Teulon, D. A Comparison of MLP and ECoS Networks for the Prediction of the Flight of Aphids in Autumn Sown Wheat Crops 2004 Proceedings Conference on Neuro-Computing and Evolving Intelligence 2004, NCEI'04, 13-15 December, 2004, AUT Technology Park, 581 Great South Road, Auckland, New Zealand.  inproceedings  
Worner S.P., Watts M.J., J.P.W., P. and M., G. Being prepared: ecological informatics and computational intelligence methods applied to invasive insect risk assessment 2008 International Congress of Entomology, 6-11 July, Durban, South Africa, 2008  inproceedings  
Worner, S., D., P., M.J., W., Ikeda, K. and T., L. The expanding toolbox of
computational intelligence in invasive species risk assessment: Current issues and
future developments
2009 International Congress on Biological Invasions, 2-6 November
Fuzhou, China 
inproceedings  
Worner, S., Eschen, R., Kenis, M., Paini, D., K., S., Suiter, K., Singh, S., Vanninen, I. and Watts, M. Detecting and interpreting patterns within regional pest species assemblages using self-organizing maps and other clustering methods 2015 Pest risk modelling and mapping for invasive alien species, pp. 97-114  incollection URL 
Worner, S., Gevrey, M., Eschen, R., Kenis, M., Paini, D., Singh, S., Suiter, K. and Watts, M. Self-organising maps and other methodologies for pest prioritisation 2013 Neobiota
Vol. 18, pp. 83-102 
article URL 
Worner, S. and Watts, M. Null Model Analysis of a Self Organising Map of Invasive Species Distribution 2006 5th International Conference on Ecological Informatics (ISEI5) Novel Computational Techniques for Improved Management, Understanding and Forecasting of Complex Ecological Data
December 4 – 6, 2006, Santa Barbara, CA, USA 2006 
inproceedings  
Worner, S., Watts, M. and Gevrey, M. Bootstrapping a self organising map model to estimate the uncertainty in assemblages of alien invasive species. Proceedings Management of sustainability and ecological modelling 2006 International Congress of Ecological Modelling, August 28 - September 1, Ube -Yamaguchi, Japan 2006, pp. 206-207  inproceedings  
Worner, S.P., Watts, M., Gevrey, M. and Pitt, J. Neuro-computing methods as aids to assessing the invasion potential of alien insects 2005 IX International Congress of Ecology, August 7-12 2005, Montreal, Canada  inproceedings