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Select Publications

Conference Papers

Tse P; Wang DD, 1996, 'A hybrid neural networks based machine condition forecaster and classifier by using multiple vibration parameters', in ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, IEEE, D.C., WASHINGTON, pp. 2096 - 2100, presented at 1996 IEEE International Conference on Neural Networks (ICNN 96), D.C., WASHINGTON, 02 June 1996 - 06 June 1996

Tse P; Wang DD; Atherton D, 1995, 'Improving learning vector quantization classifier in machine fault diagnosis by adding consistency', in 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, IEEE, AUSTRALIA, UNIV W AUSTRAIA, PERTH, pp. 927 - 931, presented at 1995 IEEE International Conference on Neural Networks (ICNN 95), AUSTRALIA, UNIV W AUSTRAIA, PERTH, 27 November 1995 - 01 December 1995

Conference Posters

Bednarz TP; Arzhaeva Y; Szul P; Burdett N; Wang D; Chen S; Thompson D; Gureyev T; Taylor JA, 2013, 'Cloud-based Image Analysis and Processing Toolbox', Oslo, Norway, presented at Galaxy Community Conference 2013, Oslo, Norway, 30 June 2013 - 02 July 2013, https://galaxyproject.org/events/gcc2013/abstracts/posters/

Bednarz TP; Wang D; Arzhaeva Y; Szul P; Chen S; Khassapov A; Burdett N; Gureyev T; Taylor JA, 2012, 'Cloud-based image analysis and processing toolbox for biomedical applications', Chicago, USA, pp. 8 - 12, presented at 8th IEEE International Conference on eScience, Chicago, USA, 08 October 2012 - 12 October 2012, https://www.ci.uchicago.edu/events/8th-ieee-international-conference-escience-2012

Preprints

Xu H; Wang D; Sowmya A, 2022, Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis, http://dx.doi.org/10.48550/arxiv.2207.01345

Lin K; Wen W; Lipnicki DM; Mewton L; Chen R; Du J; Wang D; Skoog I; Sterner TR; Najar J; Kim KW; Han JW; Kim JS; Ng TP; Ho R; Chua DQL; Anstey KJ; Cherbuin N; Mortby ME; Brodaty H; Kochan N; Sachdev PS; Jiang J; Consortium CSOMIAI, Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium, http://dx.doi.org/10.1101/2023.08.30.23294876


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