| 2016 | IJCNN | Sleep learning and Max-Min aggregation of Evolving Connectionist Systems. | Michael J. Watts |
| 2014 | IJCNN | Applying computational intelligence methods to modeling and predicting common bean germination rates. | Andr Bianconi, Michael J. Watts, Yanbo Huang, Adriane Beatriz de Souza Serapio, Jos Silvio Govone, X. Mi, Gustavo Habermann, Alessandro Ferrarini |
| 2014 | IJCNN | Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi. | Michael J. Watts |
| 2008 | ICONIP | Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons. | David R. Pontin, Susan P. Worner, Michael J. Watts |
| 2008 | ICONIP | Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons. | Michael J. Watts, Susan P. Worner |
| 2008 | IJCNN | Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beaches. | David R. Pontin, Michael J. Watts, Susan P. Worner |
| 2006 | HIS | Null-Model Validation of MLP Input Contribution Analysis in Ecology. | Michael J. Watts, Susan P. Worner |
| 2006 | IJCNN | Nominal-scale Evolving Connectionist Systems. | Michael J. Watts |
| 2006 | IJCNN | Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species. | Michael J. Watts, Susan P. Worner |
| 2002 | AAAI | Fuzzy Neural Networks in a Palm Environment. | Samuel Moyle, Michael J. Watts |
| 2002 | CEC | Evolutionary optimisation of evolving connectionist systems. | Michael J. Watts, Nikola K. Kasabov |
| 2002 | CEC | Evolutionary optimisation of MLP for modelling protein synthesis termination signal efficiency. | Michael J. Watts, Louise Major, Warren Tate |
| 2001 | CEC | Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy. | Michael J. Watts, Nikola K. Kasabov |
| 1998 | ICONIP | Genetic Algorithms for the Design of Fuzzy Neural Networks. | Michael J. Watts, Nikola K. Kasabov |
| 1997 | ICONIP | A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks. | Nikola K. Kasabov, Robert Kozma, Richard Kilgour, Mark R. Laws, J. Taylor, Michael J. Watts, Andrew R. Gray |