Research output per year
Research output per year
- 23 results
Search results
-
2024
A Novel Neural Network-based Multi-objective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast
He, Y., Zhu, J. & Wang, S., 31 Jan 2024, (E-pub ahead of print) In: IEEE Transactions on Systems, Man and Cybernetics: Systems.Research output: Contribution to journal › Article › peer-review
Open AccessFile27 Downloads (Pure) -
2023
Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization
Shen, X., Pan, H., Ge, Z., Chen, W., Song, L. & Wang, S., Sept 2023, In: Complex System Modeling and Simulation. 3, 3, p. 202-219 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile37 Downloads (Pure) -
Prediction of Traditional Chinese Medicine Prescriptions Based on Multi-label Resampling
Jiang, X., Wang, S., Liu, W. & Yang, Y., 6 Oct 2023, (E-pub ahead of print) In: Journal of Electronic Business & Digital Economics.Research output: Contribution to journal › Article › peer-review
Open AccessFile25 Downloads (Pure) -
2022
A cooperative ensemble method for multistep wind speed probabilistic forecasting
He, Y., Wang, Y., Wang, S. & Yao, X., 19 Jul 2022, In: Chaos, Solitons and Fractals. 162, 112416.Research output: Contribution to journal › Article › peer-review
Open AccessFile50 Downloads (Pure) -
A Surrogate-Assisted Evolutionary Algorithm for Space Component Thermal Layout Optimization
Han, L., Wang, H. & Wang, S., 30 Jul 2022, In: Space: Science and Technology (United States). 2022, 15 p., 9856362.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Downloads (Pure) -
Nonparametric probabilistic load forecasting based on quantile combination in electrical power systems
He, Y., Cao, C., Wang, S. & Fu, H., 15 Sept 2022, In: Applied Energy. 322, 14 p., 119507.Research output: Contribution to journal › Article › peer-review
Open AccessFile23 Downloads (Pure) -
Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model
Wang, X., Wang, H., Wang, S., Liu, Y., Yu, W., Wang, J., Xu, Q. & Li, X., Apr 2022, In: Remote Sensing of the Environment. 272, 15 p., 112940.Research output: Contribution to journal › Article › peer-review
Open AccessFile121 Downloads (Pure) -
2021
Adaptive fuzzy learning superpixels representation for PolSAR image classification
Guo, Y., Jiao, L., Qu, R., Sun, Z., Wang, S., Wang, S. & Liu, F., 23 Nov 2021, In: IEEE Transactions on Geoscience and Remote Sensing. 9625939.Research output: Contribution to journal › Article › peer-review
Open AccessFile30 Downloads (Pure) -
Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression
He, Y., Li, H., Wang, S. & Yao, X., 21 Mar 2021, In: Neurocomputing. 430, p. 121-137 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)251 Downloads (Pure) -
2019
Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network
He, Y., Qin, Y., Wang, S., Wang, X. & Wang, C., 1 Jan 2019, In: Applied Energy. 233-234, p. 565-575 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile44 Citations (Scopus)148 Downloads (Pure) -
Resample-based ensemble framework for drifting imbalanced data streams
Zhang, H., Liu, W., Wang, S., Shan, J. & Liu, Q., 6 May 2019, In: IEEE Access. 7, p. 65103-65115 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)151 Downloads (Pure) -
2018
A Systematic Study of Online Class Imbalance Learning With Concept Drift
Wang, S., Minku, L. L. & Yao, X., Oct 2018, In: IEEE Transactions on Neural Networks and Learning Systems. 29, 10, p. 4802-4821 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile64 Citations (Scopus)303 Downloads (Pure) -
Fuzzy sparse autoencoder framework for single image per person face recognition
Guo, Y., Jiao, L., Wang, S., Wang, S. & Liu, F., 17 Jul 2018, In: IEEE Transactions on Cybernetics. 48, 8, p. 2402-2415 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile19 Citations (Scopus)221 Downloads (Pure) -
Fuzzy Superpixels for Polarimetric SAR Images Classification
Guo, Y., Jiao, L., Wang, S., Wang, S., Liu, F. & Hua, W., Oct 2018, In: IEEE Transactions on Fuzzy Systems. 26, 5, p. 2846-2860 15 p., 8310927.Research output: Contribution to journal › Article › peer-review
Open AccessFile49 Citations (Scopus)214 Downloads (Pure) -
2017
Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory
He, Y., Liu, R., Li, H., Wang, S. & Lu, X., 1 Jan 2017, In: Applied Energy. 185, p. 254-266 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile82 Citations (Scopus)336 Downloads (Pure) -
2016
Online ensemble learning of data streams with gradually evolved classes
Sun, Y., Tang, K., Minku, L. L., Wang, S. & Yao, X., 1 Jun 2016, In: IEEE Transactions on Knowledge and Data Engineering. 28, 6, p. 1532-1545Research output: Contribution to journal › Article › peer-review
Open AccessFile81 Citations (Scopus)1536 Downloads (Pure) -
2015
A novel dynamic rough subspace based selective ensemble
Guo, Y., Jiao, L., Wang, S., Wang, S., Liu, F., Rong, K. & Xiong, T., 1 May 2015, In: Pattern Recognition. 48, 5, p. 1638-1652 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Citations (Scopus)275 Downloads (Pure) -
Resampling-based ensemble methods for online class imbalance learning
Wang, S., Minku, L. L. & Yao, X., 1 May 2015, In: IEEE Transactions on Knowledge and Data Engineering. 27, 5, p. 1356 - 1368Research output: Contribution to journal › Article › peer-review
Open AccessFile175 Citations (Scopus)271 Downloads (Pure) -
2014
A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem
Shang, R., Wang, Y., Wang, J., Jiao, L., Wang, S. & Qi, L., 1 Sept 2014, In: Information Sciences. 277, p. 609-642 34 p.Research output: Contribution to journal › Article › peer-review
66 Citations (Scopus) -
2013
Online Class Imbalance Learning and Its Applications in Fault Detection
Wang, S., Minku, L. & Yao, X., 16 Dec 2013, In: International Journal of Computational Intelligence and Applications. 12, 4, 19 p., 1340001.Research output: Contribution to journal › Article › peer-review
38 Citations (Scopus) -
Using class imbalance learning for software defect prediction
Wang, S. & Yao, X., 2013, In: IEEE Transactions on Reliability. 62, 2, p. 434-443 10 p., 6509481.Research output: Contribution to journal › Article › peer-review
415 Citations (Scopus) -
2012
Multiclass imbalance problems: Analysis and potential solutions
Wang, S. & Yao, X., 2012, In: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. 42, 4, p. 1119-1130 12 p., 6170916.Research output: Contribution to journal › Article › peer-review
431 Citations (Scopus) -
2011
Relationships Between Diversity of Classification Ensembles and Single-Class Performance Measures
Wang, S. & Yao, X., 6 Oct 2011, In: IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article
90 Citations (Scopus)