Michael J. Watts - researchr profile

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2022	-	present	:	Media Design School
2012	-	2022	:	AIS St Helens
2010	-	2012	:	University of Adelaide
2007	-	2009	:	University of Sydney
2004	-	2007	:	Lincoln University
2000	-	2004	:	University of Otago

A Decade of Kasabov s Evolving Connectionist Systems: A ReviewMichael J. Watts. tsmc, 39(3):253-269, 2009. [doi]

Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer PerceptronsMichael J. Watts, Susan P. Worner. iconip 2009: 901-908 [doi]

Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer PerceptronsDavid R. Pontin, Susan P. Worner, Michael J. Watts. iconip 2009: 909-916 [doi]

Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distributionMichael J. Watts, Susan P. Worner. ecoi, 3(6):354-366, 2008. [doi]

Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest speciesMichael J. Watts, Susan P. Worner. ecoi, 3(1):64-74, 2008. [doi]

Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beachesDavid R. Pontin, Michael J. Watts, Susan P. Worner. ijcnn 2008: 1170-1175 [doi]

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