John Yearwood
John Yearwood
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Cited by
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
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
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
On the limitations of scalarisation for multi-objective reinforcement learning of pareto fronts
P Vamplew, J Yearwood, R Dazeley, A Berry
AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint …, 2008
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
Unsupervised and supervised data classification via nonsmooth and global optimization
AM Bagirov, AM Rubinov, NV Soukhoroukova, J Yearwood
Top 11, 1-75, 2003
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
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
Blockchain-enabled federated learning: A survey
Y Qu, MP Uddin, C Gan, Y Xiang, L Gao, J Yearwood
ACM Computing Surveys 55 (4), 1-35, 2022
Protection of privacy in biometric data
I Natgunanathan, A Mehmood, Y Xiang, G Beliakov, J Yearwood
IEEE access 4, 880-892, 2016
Detection of epileptic seizure based on entropy analysis of short-term EEG
P Li, C Karmakar, J Yearwood, S Venkatesh, M Palaniswami, C Liu
PloS one 13 (3), e0193691, 2018
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
A framework for software defect prediction and metric selection
S Huda, S Alyahya, MM Ali, S Ahmad, J Abawajy, H Al-Dossari, ...
IEEE access 6, 2844-2858, 2017
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
Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks
S Huda, J Yearwood, MM Hassan, A Almogren
Applied soft computing 71, 66-77, 2018
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), 43-55, 2005
A global optimization approach to classification
AM Bagirov, AM Rubinov, J Yearwood
Optimization and Engineering 3, 129-155, 2002
A hybrid wrapper-filter approach for malware detection
M Alazab, S Huda, J Abawajy, MDR Islam, J Yearwood, S Venkatraman, ...
Journal of networks 9 (11), 2878-2891, 2014
Consensus clustering and supervised classification for profiling phishing emails in internet commerce security
R Dazeley, JL Yearwood, BH Kang, AV Kelarev
Knowledge Management and Acquisition for Smart Systems and Services: 11th …, 2010
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