Susan P. Worner

According to our database, Susan P. Worner authored at least 13 papers between 2004 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

NeuCube^(ST) for spatio-temporal data predictive modelling with a case study on ecological data.

Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Extracting temporal knowledge from time series: A case study in ecological data.

Reggio N. Hartono, Russel Pears, Nikola K. Kasabov, Susan P. Worner

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2009

Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models.

Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov

Neural Networks, 2009

Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling.

Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution.

Michael J. Watts, Susan P. Worner

Ecol. Informatics, 2008

Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species.

Michael J. Watts, Susan P. Worner

Ecol. Informatics, 2008

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

Proceedings of the International Joint Conference on Neural Networks, 2008

Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons.

Michael J. Watts, Susan P. Worner

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

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

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2006

Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species.

Michael J. Watts, Susan P. Worner

Proceedings of the International Joint Conference on Neural Networks, 2006

Null-Model Validation of MLP Input Contribution Analysis in Ecology.

Michael J. Watts, Susan P. Worner

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2004

Evolving Computation Offers Potential for Estimation of Pest Establishment.

Snjezana Soltic, Shaoning Pang, Lora Peacock, Susan P. Worner

Int. J. Comput. Syst. Signals, 2004

Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment.

Snjezana Soltic, Shaoning Pang, Nikola K. Kasabov, Susan P. Worner, Lora Peacock

Proceedings of the Neural Information Processing, 11th International Conference, 2004