Michael J. Watts
Michael J. Watts
Media Design School
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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
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
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
A decade of Kasabov's evolving connectionist systems: a review
MJ Watts
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009
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
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
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
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
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
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
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
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
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
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
Predicting the risk of biological invasions using environmental similarity and transport network connectedness
RC Cope, JV Ross, TA Wittmann, MJ Watts, P Cassey
Risk Analysis 39 (1), 35-53, 2019
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
Genetic Algorithms for the Design of Fuzzy Neural Networks.
MJ Watts, NK Kasabov
ICONIP, 793-796, 1998
Adaptive speech recognition with evolving connectionist systems
A Ghobakhlou, M Watts, N Kasabov
Information Sciences 156 (1-2), 71-83, 2003
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
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
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