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Conference Item

Maskell, Peter, Ryan, Matt, Karawita, Anjana, Hickson, R.I., and Golchin, Maryam (2023) Building a one-vs-all classifier for spatial prediction of detected pathogens. In: Proceedings of the 25th International Congress on Modelling and Simulation. pp. 560-566. From: MODSIM 2023: 25th International Congress on Modelling and Simulation, 9-14 July 2023, Darwin, NT, Australia.

Darwen, Paul J. (2023) Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction. In: Lecture Notes in Artificial Intelligence (13995) pp. 210-223. From: ACIIDS 2023: 15th Asian Conference on Intelligent Information and Database Systems, 24-26 July 2023, Phuket, Thailand.

Napier, Thomas, Ahn, Euijoon, Allen-Ankins, Slade, and Lee, Ickjai (2023) An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification. In: Lecture Notes in Computer Science (14471) pp. 468-479. From: AI 2023: 36th Australasian Joint Conference on Artificial Intelligence, 28 November - 1 December 2023, Brisbane, QLD, Australia.

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Li, Junlu, and Wei, Yuxing (2022) Evaluation of the market acceptance of vehicles with Random Forest. In: Proceedings of the IEEE 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering. pp. 464-469. From: AEMCSE 2022: IEEE 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering, 22-24 April 2022, Wuhan, China.

Gill, Jaskaran, Chetty, Madhu, Shatte, Adrian, and Hallinan, Jennifer (2022) Integrating steady-state and dynamic gene expression data for improving genetic network modelling. In: Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology. From: CIBCB 2022: IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 15-17 August 2022, Ottawa, Canada.

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Ahn, Euijoon, Feng, Dagan, and Kim, Jinman (2021) A spatial guided self-supervised clustering network for medical image segmentation. In: Lecture Notes in Computer Science (12901) pp. 379-388. From: MICCAI 2021: International Conference on Medical Image Computing and Computer-Assisted Intervention, 27 September - 1 October 2021, Strasbourg, France.

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Thesis

Saleh, Alzayat (2020) Developing deep learning methods for aquaculture applications. Masters (Research) thesis, James Cook University.