| Lstm based sentiment analysis for cryptocurrency prediction X Huang, W Zhang, X Tang, M Zhang, J Surbiryala, V Iosifidis, Z Liu, ... Database Systems for Advanced Applications: 26th International Conference …, 2021 | 73 | 2021 |
| A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion Z Liu, R Wang, M Tao, X Cai Neurocomputing 168, 365-381, 2015 | 61 | 2015 |
| Research on unsupervised feature learning for Android malware detection based on restricted Boltzmann machines Z Liu, R Wang, N Japkowicz, D Tang, W Zhang, J Zhao Future Generation Computer Systems 120, 91-108, 2021 | 56 | 2021 |
| A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems D Tang, J Yang, S Dong, Z Liu Applied Soft Computing 49, 641-662, 2016 | 54 | 2016 |
| A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data ZhenLiu, DeyuTang, YongmingCai, RuoyuWang, FuhuaChena Neurocomputing 266 (2017), 641-650, 2017 | 52 | 2017 |
| A new feature selection method for internet traffic classification using ml L Zhen, L Qiong Physics Procedia 33, 1338-1345, 2012 | 44 | 2012 |
| Mobile app traffic flow feature extraction and selection for improving classification robustness Z Liu, R Wang, N Japkowicz, Y Cai, D Tang, X Cai Journal of Network and Computer Applications 125, 190-208, 2019 | 37 | 2019 |
| A comparison of improving multi-class imbalance for internet traffic classification Q Liu, Z Liu Information Systems Frontiers 16, 509-521, 2014 | 30 | 2014 |
| Adaptive learning on mobile network traffic data Z Liu, N Japkowicz, R Wang, D Tang Connection Science 31 (2), 185-214, 2019 | 29 | 2019 |
| Using machine learning to automate mammogram images analysis X Tang, L Zhang, W Zhang, X Huang, V Iosifidis, Z Liu, M Zhang, ... 2020 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2020 | 28 | 2020 |
| A statistical pattern based feature extraction method on system call traces for anomaly detection Z Liu, N Japkowicz, R Wang, Y Cai, D Tang, X Cai Information and Software Technology 126, 106348, 2020 | 27 | 2020 |
| Adaptive threshold for outlier detection on data streams J Clark, Z Liu, N Japkowicz 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 27 | 2018 |
| Spherical search optimizer: a simple yet efficient meta-heuristic approach J Zhao, D Tang, Z Liu, Y Cai, S Dong Neural Computing and Applications 32, 9777-9808, 2020 | 25 | 2020 |
| Flexible and adaptive fairness-aware learning in non-stationary data streams W Zhang, M Zhang, J Zhang, Z Liu, Z Chen, J Wang, E Raff, E Messina 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 21 | 2020 |
| Memetic frog leaping algorithm for global optimization D Tang, Z Liu, J Yang, J Zhao Soft Computing 23, 11077-11105, 2019 | 20 | 2019 |
| Extending labeled mobile network traffic data by three levels traffic identification fusion Z Liu, R Wang, D Tang Future Generation Computer Systems 88, 453-466, 2018 | 20 | 2018 |
| SmoteAdaNL: a learning method for network traffic classification Zhen Liu, Ruoyu Wang, Ming Tao Journal of Ambient Intelligence and Humanized Computing 7 (1), 121-130, 2016 | 18 | 2016 |
| Studying cost-sensitive learning for multi-class imbalance in Internet traffic classification LIU Zhen, LIU Qiong The Journal of China Universities of Posts and Telecommunications 19 (6), 63-72, 2012 | 17 | 2012 |
| Benchmark data for mobile app traffic research R Wang, Z Liu, Y Cai, D Tang, J Yang, Z Yang Proceedings of the 15th EAI international conference on mobile and …, 2018 | 15 | 2018 |
| Balanced feature selection method for Internet traffic classification Z Liu, Q Liu IET networks 1 (2), 74-83, 2012 | 11 | 2012 |
Nathalie JapkowiczAmerican UniversityVerified email at american.edu
