| 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), e5870, 2016 | 429 | 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 | 191 | 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 | 143 | 2016 |
| Unsupervised and supervised data classification via nonsmooth and global optimization AM Bagirov, AM Rubinov, NV Soukhoroukova, J Yearwood Top 11 (1), 1-75, 2003 | 141 | 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 | 138 | 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 | 123 | 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 | 115 | 2016 |
| 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 | 105 | 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 | 104 | 2008 |
| 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 | 81 | 2011 |
| Protection of privacy in biometric data I Natgunanathan, A Mehmood, Y Xiang, G Beliakov, J Yearwood IEEE access 4, 880-892, 2016 | 80 | 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), 43-55, 2005 | 80 | 2005 |
| A global optimization approach to classification AM Bagirov, AM Rubinov, J Yearwood Optimization and Engineering 3 (2), 129-155, 2002 | 77 | 2002 |
| 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 | 72 | 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 | 69 | 2017 |
| 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 | 68 | 2018 |
| 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 | 68 | 2017 |
| 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 | 66 | 2010 |
| 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 | 64 | 2011 |
| Attribute weighted Naive Bayes classifier using a local optimization S Taheri, J Yearwood, M Mammadov, S Seifollahi Neural Computing and Applications 24 (5), 995-1002, 2014 | 61 | 2014 |
Andrew StranieriFederation University Australia, VictoriaBestätigte E-Mail-Adresse bei federation.edu.au
