| Recommender system application developments: a survey J Lu, D Wu, M Mao, W Wang, G Zhang Decision support systems 74, 12-32, 2015 | 2086 | 2015 |
| Learning under concept drift: A review J Lu, A Liu, F Dong, F Gu, J Gama, G Zhang IEEE transactions on knowledge and data engineering 31 (12), 2346-2363, 2018 | 1805 | 2018 |
| Transfer Learning using Computational Intelligence: A Survey J Lu, V Behbood, P Hao, H Zuo, S Xue, G Zhang Knowledge-Based Systems 80, 14-23, 2015 | 1077 | 2015 |
| Multi-objective group decision making: methods, software and applications with fuzzy set techniques J Lu, G Zhang, D Ruan, F Wu Imperial College Press, 2007 | 705* | 2007 |
| A kernel fuzzy c-means clustering based fuzzy support vector machine algorithm for classification problems with outliers or noises X Yang, G Zhang, J Lu, J Ma Fuzzy Systems, IEEE Transactions on 19 (1), 105-115, 2011 | 435* | 2011 |
| A Customer Churn Prediction Model in Telecom Industry Using Boosting N Lu, H Lin, J Lu, G Zhang IEEE Transactions on Industrial Informatics 10 (2), 1659-1665, 2014 | 273 | 2014 |
| A hybrid fuzzy-based personalized recommender system for telecom products/services Z Zhang, H Lin, K Liu, D Wu, G Zhang, J Lu Information Sciences 235, 117-129, 2013 | 237 | 2013 |
| Operation properties and δ-equalities of complex fuzzy sets G Zhang, TS Dillon, KY Cai, J Ma, J Lu International journal of approximate reasoning 50 (8), 1227-1249, 2009 | 233 | 2009 |
| Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research Y Zhang, G Zhang, H Chen, AL Porter, D Zhu, J Lu Technological forecasting and social change 105, 179-191, 2016 | 220 | 2016 |
| An extended Kuhn–Tucker approach for linear bilevel programming C Shi, J Lu, G Zhang Applied Mathematics and Computation 162 (1), 51-63, 2005 | 220 | 2005 |
| Learning deep kernels for non-parametric two-sample tests F Liu, W Xu, J Lu, G Zhang, A Gretton, DJ Sutherland International conference on machine learning, 6316-6326, 2020 | 219 | 2020 |
| Concept drift detection via competence models N Lu, G Zhang, J Lu Artificial Intelligence 209, 11-28, 2014 | 211 | 2014 |
| Multi-level decision making G Zhang, J Lu, Y Gao Models, Methods and Applications, 2015 | 210* | 2015 |
| Optimal cloud resource auto-scaling for web applications J Jiang, J Lu, G Zhang, G Long 2013 13th IEEE/ACM international symposium on cluster, Cloud, and Grid …, 2013 | 210 | 2013 |
| Open set domain adaptation: Theoretical bound and algorithm Z Fang, J Lu, F Liu, J Xuan, G Zhang IEEE transactions on neural networks and learning systems 32 (10), 4309-4322, 2020 | 207 | 2020 |
| Multilevel decision-making: A survey J Lu, J Han, Y Hu, G Zhang Information Sciences 346, 463-487, 2016 | 190 | 2016 |
| Decider: a fuzzy multi-criteria group decision support system J Ma, J Lu, G Zhang Knowledge-Based Systems 23 (1), 23-31, 2010 | 189 | 2010 |
| An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria G Zhang, J Lu Group Decision and Negotiation 12, 501-515, 2003 | 188 | 2003 |
| An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks M Pratama, J Lu, E Lughofer, G Zhang, MJ Er IEEE Transactions on Fuzzy Systems 25 (5), 1175-1192, 2016 | 180 | 2016 |
| Deep uncertainty quantification: A machine learning approach for weather forecasting B Wang, J Lu, Z Yan, H Luo, T Li, Y Zheng, G Zhang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 177 | 2019 |
Jie LU AO, FIEEE, FIFSA, FACS, Austr...Distinguished Professor, Director of Australian Artificial Intelligence InstituteOverená e-mailová adresa na: uts.edu.au
