John Yearwood
John Yearwood
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Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view
W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ...
Journal of medical Internet research 18 (12), e323, 2016
Cayley graphs as classifiers for data mining: the influence of asymmetries
A Kelarev, J Ryan, J Yearwood
Discrete Mathematics 309 (17), 5360-5369, 2009
Unsupervised and supervised data classification via nonsmooth and global optimization
AM Bagirov, AM Rubinov, NV Soukhoroukova, J Yearwood
Top 11 (1), 1-75, 2003
A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems
AM Bagirov, J Yearwood
European Journal of Operational Research 170 (2), 578-596, 2006
An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling
AM Bagirov, AF Barton, H Mala-Jetmarova, A Al Nuaimat, ST Ahmed, ...
Mathematical and Computer Modelling 57 (3-4), 873-886, 2013
Heterogeneous cooperative co-evolution memetic differential evolution algorithm for big data optimization problems
NR Sabar, J Abawajy, J Yearwood
IEEE Transactions on Evolutionary Computation 21 (2), 315-327, 2016
A hybrid feature selection with ensemble classification for imbalanced healthcare data: A case study for brain tumor diagnosis
S Huda, J Yearwood, HF Jelinek, MM Hassan, G Fortino, M Buckland
IEEE access 4, 9145-9154, 2016
Predicting Australian stock market index using neural networks exploiting dynamical swings and intermarket influences
H Pan, C Tilakaratne, J Yearwood
Journal of research and practice in information technology 37 (1), 43, 2005
A global optimization approach to classification
AM Bagirov, AM Rubinov, J Yearwood
Optimization and Engineering 3 (2), 129-155, 2002
Hybrids of support vector machine wrapper and filter based framework for malware detection
S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood
Future Generation Computer Systems 55, 376-390, 2016
On the limitations of scalarisation for multi-objective reinforcement learning of pareto fronts
P Vamplew, J Yearwood, R Dazeley, A Berry
Australasian Joint Conference on Artificial Intelligence, 372-378, 2008
Consensus clustering and supervised classification for profiling phishing emails in internet commerce security
R Dazeley, JL Yearwood, BH Kang, AV Kelarev
Pacific Rim Knowledge Acquisition Workshop, 235-246, 2010
Does the Delphi process lead to increased accuracy in group-based judgmental forecasts or does it simply induce consensus amongst judgmental forecasters?
F Bolger, A Stranieri, G Wright, J Yearwood
Technological Forecasting and Social Change 78 (9), 1671-1680, 2011
Argumentation structures that integrate dialectical and non-dialectical reasoning
A Stranieri, J Zeleznikow, J Yearwood
The Knowledge Engineering Review 16 (4), 331, 2001
The generic/actual argument model of practical reasoning
JL Yearwood, A Stranieri
Decision support systems 41 (2), 358-379, 2006
A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling
J Zhang, DY Gao, J Yearwood
Journal of theoretical biology 284 (1), 149-157, 2011
New algorithms for multi-class cancer diagnosis using tumor gene expression signatures
AM Bagirov, B Ferguson, S Ivkovic, G Saunders, J Yearwood
Bioinformatics 19 (14), 1800-1807, 2003
Protection of privacy in biometric data
I Natgunanathan, A Mehmood, Y Xiang, G Beliakov, J Yearwood
IEEE access 4, 880-892, 2016
Dynamical systems described by relational elasticities with applications
M Mammadov, A Rubinov, J Yearwood
Continuous Optimization, 365-385, 2005
Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data
S Huda, S Miah, MM Hassan, R Islam, J Yearwood, M Alrubaian, ...
Information Sciences 379, 211-228, 2017
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