| A comparative assessment of ensemble learning for credit scoring G Wang, J Hao, J Ma, H Jiang Expert systems with applications 38 (1), 223-230, 2011 | 668 | 2011 |
| A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering G Wang, J Hao, J Ma, L Huang Expert systems with applications 37 (9), 6225-6232, 2010 | 667 | 2010 |
| Sentiment classification: The contribution of ensemble learning G Wang, J Sun, J Ma, K Xu, J Gu Decision support systems 57, 77-93, 2014 | 464 | 2014 |
| Two credit scoring models based on dual strategy ensemble trees G Wang, J Ma, L Huang, K Xu Knowledge-Based Systems 26, 61-68, 2012 | 293 | 2012 |
| An improved boosting based on feature selection for corporate bankruptcy prediction G Wang, J Ma, S Yang Expert Systems with Applications 41 (5), 2353-2361, 2014 | 226 | 2014 |
| A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine G Wang, J Ma Expert Systems with Applications, 2011 | 198 | 2011 |
| Mining affective text to improve social media item recommendation J Sun, G Wang, X Cheng, Y Fu Information Processing & Management 51 (4), 444-457, 2015 | 101 | 2015 |
| POS-RS: A Random Subspace method for sentiment classification based on part-of-speech analysis G Wang, Z Zhang, J Sun, S Yang, CA Larson Information Processing & Management 51 (4), 458-479, 2015 | 95 | 2015 |
| Study of Corporate Credit Risk Prediction Based on Integrating Boosting and Random Subspace G Wang, J Ma Expert Systems with Applications, 2011 | 80 | 2011 |
| A new random subspace method incorporating sentiment and textual information for financial distress prediction G Wang, G Chen, Y Chu Electronic Commerce Research and Applications 29, 30-49, 2018 | 64 | 2018 |
| HAR-SI: A novel hybrid article recommendation approach integrating with social information in scientific social network G Wang, XR He, CI Ishuga Knowledge-Based Systems 148, 85-99, 2018 | 55 | 2018 |
| Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures G Wang, J Ma, G Chen, Y Yang Applied Soft Computing 90, 106152, 2020 | 46 | 2020 |
| SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media J Liu, S Zhao, G Wang Artificial intelligence in medicine 84, 34-49, 2018 | 37 | 2018 |
| A feature extraction-and ranking-based framework for electricity spot price forecasting using a hybrid deep neural network Z Shao, Q Zheng, C Liu, S Gao, G Wang, Y Chu Electric Power Systems Research 200, 107453, 2021 | 35 | 2021 |
| Semi-random subspace with Bi-GRU: Fusing statistical and deep representation features for bearing fault diagnosis XT Mao, F Zhang, G Wang, Y Chu, KF Yuan Measurement 173, 108603, 2021 | 32 | 2021 |
| Research and development project risk assessment using a belief rule-based system with random subspaces Y Yang, J Wang, G Wang, YW Chen Knowledge-Based Systems 178, 51-60, 2019 | 31 | 2019 |
| A sequence-to-sequence model with attention and monotonicity loss for tool wear monitoring and prediction G Wang, F Zhang IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 29 | 2021 |
| Scientific collaborator recommendation in heterogeneous bibliographic networks C Yang, J Sun, J Ma, S Zhang, G Wang, Z Hua 2015 48th Hawaii international conference on system sciences, 552-561, 2015 | 29 | 2015 |
| DAMER: A novel diagnosis aggregation method with evidential reasoning rule for bearing fault diagnosis G Wang, F Zhang, B Cheng, F Fang Journal of Intelligent Manufacturing 32, 1-20, 2021 | 25 | 2021 |
| IGF-BAGGING: INFORMATION GAIN BASED FEATURE SELECTION FOR BAGGING G Wang, J Ma, SL Yang | 25 | 2011 |
Jianshan SunAssociate Professor, Hefei University of Technology在 hfut.edu.cn 的电子邮件经过验证
