Shuo Wang
Cited by
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Using class imbalance learning for software defect prediction
S Wang, X Yao
IEEE Transactions on Reliability 62 (2), 434-443, 2013
Multiclass Imbalance Problems: Analysis and Potential Solutions
S Wang, X Yao
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 1-12, 2012
Diversity analysis on imbalanced data sets by using ensemble models
S Wang, X Yao
Computational Intelligence and Data Mining, 2009. CIDM'09. IEEE Symposium on …, 2009
Resampling-based ensemble methods for online class imbalance learning
S Wang, LL Minku, X Yao
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1356-1368, 2014
A systematic study of online class imbalance learning with concept drift
S Wang, LL Minku, X Yao
IEEE transactions on neural networks and learning systems 29 (10), 4802-4821, 2018
Online ensemble learning of data streams with gradually evolved classes
Y Sun, K Tang, LL Minku, S Wang, X Yao
IEEE Transactions on Knowledge and Data Engineering 28 (6), 1532-1545, 2016
Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory
Y He, R Liu, H Li, S Wang, X Lu
Applied energy 185, 254-266, 2017
Relationships Between Diversity of Classification Ensembles and Single-Class Performance Measures
S Wang, X Yao
Knowledge and Data Engineering, IEEE Transactions on, 1-1, 2011
Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network
Y He, Y Qin, S Wang, X Wang, C Wang
Applied energy 233, 565-575, 2019
A learning framework for online class imbalance learning
S Wang, LL Minku, X Yao
2013 IEEE Symposium on Computational Intelligence and Ensemble Learning …, 2013
Negative correlation learning for classification ensembles
S Wang, H Chen, X Yao
Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010
Concept drift detection for online class imbalance learning
S Wang, LL Minku, D Ghezzi, D Caltabiano, P Tino, X Yao
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013
Online class imbalance learning and its applications in fault detection
S Wang, LL Minku, X Yao
International Journal of Computational Intelligence and Applications 12 (04 …, 2013
Dealing with Multiple Classes in Online Class Imbalance Learning.
S Wang, LL Minku, X Yao
IJCAI, 2118-2124, 2016
Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression
Y He, H Li, S Wang, X Yao
Neurocomputing 430, 121-137, 2021
A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem
R Shang, Y Wang, J Wang, L Jiao, S Wang, L Qi
Information Sciences 277, 609-642, 2014
Fuzzy superpixels for polarimetric SAR images classification
Y Guo, L Jiao, S Wang, S Wang, F Liu, W Hua
IEEE Transactions on Fuzzy Systems 26 (5), 2846-2860, 2018
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study
K Li, Z Xiang, T Chen, S Wang, KC Tan
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
Fuzzy sparse autoencoder framework for single image per person face recognition
Y Guo, L Jiao, S Wang, S Wang, F Liu
IEEE transactions on cybernetics 48 (8), 2402-2415, 2017
Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model
X Zhang, H Wang, S Wang, Y Liu, W Yu, J Wang, Q Xu, X Li
Remote Sensing of Environment 272, 112940, 2022
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