Training deep neural networks on imbalanced data sets S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy Neural Networks (IJCNN), 2016 International Joint Conference on, 4368-4374, 2016 | 532 | 2016 |
Relational autoencoder for feature extraction Q Meng, D Catchpoole, D Skillicom, PJ Kennedy 2017 International Joint Conference on Neural Networks (IJCNN), 364-371, 2017 | 249 | 2017 |
Scholarly paper recommendation based on social awareness and folksonomy NY Asabere, F Xia, Q Meng, F Li, H Liu International Journal of Parallel, Emergent and Distributed Systems 30 (3 …, 2015 | 39 | 2015 |
L-SHADE-E: Ensemble of two differential evolution algorithms originating from L-SHADE X Wang, C Li, J Zhu, Q Meng Information Sciences 552, 201-219, 2021 | 32 | 2021 |
Discovering influential authors in heterogeneous academic networks by a co-ranking method Q Meng, PJ Kennedy Proceedings of the 22nd ACM international conference on Conference on …, 2013 | 18 | 2013 |
Dynamic island model based on spectral clustering in genetic algorithm Q Meng, J Wu, J Ellis, PJ Kennedy 2017 International Joint Conference on Neural Networks (IJCNN), 1724-1731, 2017 | 16 | 2017 |
Community detection on heterogeneous networks by multiple semantic-path clustering Q Meng, S Tafavogh, PJ Kennedy Computational Aspects of Social Networks (CASoN), 2014 6th International …, 2014 | 16 | 2014 |
DBNorm: normalizing high-density oligonucleotide microarray data based on distributions Q Meng, D Catchpoole, D Skillicorn, PJ Kennedy BMC bioinformatics 18 (1), 527, 2017 | 15 | 2017 |
Using field of research codes to discover research groups from co-authorship networks Q Meng, PJ Kennedy Proceedings of the 2012 International Conference on Advances in Social …, 2012 | 8 | 2012 |
Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach B Culbert, B Fu, J Brownlow, C Chu, Q Meng, G Xu Australasian Database Conference, 123-134, 2018 | 6 | 2018 |
Determining the number of clusters in co-authorship networks using social network theory Q Meng, PJ Kennedy Cloud and Green Computing (CGC), 2012 Second International Conference on …, 2012 | 5 | 2012 |
Cost-Sensitive Churn Prediction in Fund Management Services J Brownlow, C Chu, B Fu, G Xu, B Culbert, Q Meng International Conference on Database Systems for Advanced Applications, 776-788, 2018 | 4 | 2018 |
Automated quantitative and qualitative analysis of the whole slide images of neuroblastoma tumour for making a prognosis decision S Tafavogh, Q Meng, D Catchpoole, P Kennedy Proceedings of the IASTED 11th International Conference on Biomedical …, 2014 | 4 | 2014 |
Survey on spectral clustering and its applications in social networks Q Meng, PJ Kennedy Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications) 49 (3 …, 2013 | 3 | 2013 |
A Multiple Source based Transfer Learning Framework for Marketing Campaigns J Brownlow, C Chu, G Xu, B Culbert, B Fu, Q Meng 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 2 | 2018 |
Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks Q Meng, PJ Kennedy Proceedings of the Tenth Australasian Data Mining Conference-Volume 134, 175-181, 2012 | 2 | 2012 |
Combining heterogeneous features for time series prediction C Chu, J Brownlow, Q Meng, B Fu, B Culbert, M Zhu, G Xu, X He Behavioral, Economic, Socio-cultural Computing (BESC), 2017 International …, 2017 | 1 | 2017 |
Insights from using a subject specific Facebook group for student engagement and learning K Willey, Q Meng, AP Gardner Research in Engineering Education Symposium 2015, 2015 | | 2015 |
Heterogeneous network analysis on academic collaboration networks Q Meng | | 2014 |
Master Assessment Q Meng | | |