| Plant extinction risk under climate change: are forecast range shifts alone a good indicator of species vulnerability to global warming? DA Fordham, H Resit Akçakaya, MB Araújo, J Elith, DA Keith, R Pearson, ... Global Change Biology 18 (4), 1357-1371, 2012 | 198 | 2012 |
| FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition NK Kasabov, J Kim, MJ Watts, AR Gray Information sciences 101 (3-4), 155-175, 1997 | 177 | 1997 |
| A decade of Kasabov's evolving connectionist systems: a review MJ Watts IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009 | 101 | 2009 |
| Adapted conservation measures are required to save the Iberian lynx in a changing climate DA Fordham, HR Akçakaya, BW Brook, A Rodríguez, PC Alves, ... Nature Climate Change 3 (10), 899-903, 2013 | 87 | 2013 |
| Strengthening forecasts of climate change impacts with multi‐model ensemble averaged projections using MAGICC/SCENGEN 5.3 DA Fordham, TML Wigley, MJ Watts, BW Brook Ecography, 2012 | 68 | 2012 |
| Managed relocation as an adaptation strategy for mitigating climate change threats to the persistence of an endangered lizard DA Fordham, MJ Watts, S Delean, BW Brook, L Heard, CM Bull Global Change Biology 18 (9), 2743-2755, 2012 | 52 | 2012 |
| No need for disease: testing extinction hypotheses for the thylacine using multi‐species metamodels TAA Prowse, CN Johnson, RC Lacy, CJA Bradshaw, JP Pollak, MJ Watts, ... Journal of Animal Ecology 82 (2), 355-364, 2013 | 42 | 2013 |
| Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering MJ Watts, SP Worner Ecological Modelling 220 (6), 821-829, 2009 | 40 | 2009 |
| Simple evolving connectionist systems and experiments on isolated phoneme recognition M Watts, N Kasabov 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural …, 2000 | 34 | 2000 |
| Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species MJ Watts, SP Worner Ecological Informatics 3 (1), 64-74, 2008 | 33 | 2008 |
| Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution MJ Watts, SP Worner Ecological Informatics 3 (6), 354-366, 2008 | 25 | 2008 |
| Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks NK Kasabov, MJ Watts Proceedings of International Conference on Neural Networks (ICNN'97) 4, 2546 …, 1997 | 25 | 1997 |
| Managing the long‐term persistence of a rare cockatoo under climate change BC Harris, DA Fordham, PA Mooney, LP Pedler, MB Araújo, DC Paton, ... Journal of Applied Ecology 49 (4), 785-794, 2012 | 24 | 2012 |
| Hybrid connectionist-based methods and systems for speech data analysis and phoneme-based speech recognition N Kasabov, R Kozma, R Kilgour, M Laws, J Taylor, M Watts, A Gray Neuro-Fuzzy Techniques for Intelligent Information Processing, 1999 | 24* | 1999 |
| Genetic Algorithms for the Design of Fuzzy Neural Networks. MJ Watts, NK Kasabov ICONIP, 793-796, 1998 | 24 | 1998 |
| Evolving Connectionist Systems: Characterisation, Simplification, Formalisation, Explanation and Optimisation: a Thesis Submitted for the Degree of Doctor of Philosophy at the … MJ Watts University of Otago., 2004 | 22* | 2004 |
| Novel coupling of individual‐based epidemiological and demographic models predicts realistic dynamics of tuberculosis in alien buffalo CJA Bradshaw, CR McMahon, PS Miller, RC Lacy, MJ Watts, ML Verant, ... Journal of Applied Ecology 49 (1), 268-277, 2012 | 21 | 2012 |
| A novel method for mapping reefs and subtidal rocky habitats using artificial neural networks MJ Watts, Y Li, BD Russell, C Mellin, SD Connell, DA Fordham Ecological Modelling 222 (15), 2606-2614, 2011 | 21 | 2011 |
| Adaptive speech recognition with evolving connectionist systems A Ghobakhlou, M Watts, N Kasabov Information Sciences 156 (1-2), 71-83, 2003 | 20 | 2003 |
| Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering S Worner, M Gevrey, R Eschen, M Kenis, D Paini, S Singh, M Watts, ... NeoBiota 18, 83-102, 2013 | 17 | 2013 |
Sue WornerAssociate Professor, Lincoln UniversityVahvistettu sähköpostiosoite verkkotunnuksessa lincoln.ac.nz
