| Dynamic ensemble selection for multi-class imbalanced datasets S García, ZL Zhang, A Altalhi, S Alshomrani, F Herrera Information Sciences 445, 22-37, 2018 | 172 | 2018 |
| Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data Z Zhang, B Krawczyk, S Garcia, A Rosales-Pérez, F Herrera Knowledge-Based Systems 106, 251-263, 2016 | 126 | 2016 |
| A new framework of intelligent public transportation system based on the internet of things XG Luo, HB Zhang, ZL Zhang, Y Yu, K Li IEEE Access 7, 55290-55304, 2019 | 97 | 2019 |
| PF-SMOTE: A novel parameter-free SMOTE for imbalanced datasets Q Chen, ZL Zhang, WP Huang, J Wu, XG Luo Neurocomputing 498, 75-88, 2022 | 43 | 2022 |
| Cost-sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers ZL Zhang, XG Luo, S García, F Herrera Applied Soft Computing 56, 357-367, 2017 | 43 | 2017 |
| DRCW-ASEG: One-versus-one distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets ZL Zhang, XG Luo, S González, S García, F Herrera Neurocomputing 285, 176-187, 2018 | 41 | 2018 |
| Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme ZL Zhang, XG Luo, S Garcia, JF Tang, F Herrera Knowledge-Based Systems 125, 53-63, 2017 | 39 | 2017 |
| A new hybrid multi-criteria decision-making approach for developing integrated energy systems in industrial parks J Yuan, Y Li, X Luo, Z Zhang, Y Ruan, Q Zhou Journal of Cleaner Production 270, 122119, 2020 | 28 | 2020 |
| A distance-based weighting framework for boosting the performance of dynamic ensemble selection ZL Zhang, YY Chen, J Li, XG Luo Information Processing & Management 56 (4), 1300-1316, 2019 | 27 | 2019 |
| A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets BW Yuan, XG Luo, ZL Zhang, Y Yu, HW Huo, T Johannes, XD Zou Neural Computing and Applications 33, 4457-4481, 2021 | 25 | 2021 |
| Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS K Li, CY Chen, ZL Zhang Applied Soft Computing 139, 110237, 2023 | 24 | 2023 |
| OIS-RF: A novel overlap and imbalance sensitive random forest BW Yuan, ZL Zhang, XG Luo, Y Yu, XH Zou, XD Zou Engineering Applications of Artificial Intelligence 104, 104355, 2021 | 24 | 2021 |
| Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme ZL Zhang, XG Luo, Y Yu, BW Yuan, JF Tang Engineering Applications of Artificial Intelligence 74, 43-53, 2018 | 20 | 2018 |
| Integrated framework of Kansei engineering and Kano model applied to service design M Cai, M Wu, X Luo, Q Wang, Z Zhang, Z Ji International Journal of Human–Computer Interaction 39 (5), 1096-1110, 2023 | 16 | 2023 |
| Sustainable development evaluation on wind power compressed air energy storage projects based on multi-source heterogeneous data J Yuan, X Luo, Z Li, L Li, P Ji, Q Zhou, Z Zhang Renewable Energy 169, 1175-1189, 2021 | 16 | 2021 |
| Stochastic bi-level programming model for home healthcare scheduling problems considering the degree of satisfaction with visit time H Chen, X Luo, Z Zhang, Q Zhou Journal of Systems Science and Systems Engineering 30, 572-599, 2021 | 14 | 2021 |
| Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data HJ Li, XG Luo, ZL Zhang, W Jiang, SW Huang Decision Support Systems 172, 113985, 2023 | 12 | 2023 |
| Strategic analysis of participants in the provision of elderly care services—An evolutionary game perspective J He, X Luo, Z Zhang, Y Yu International Journal of Environmental Research and Public Health 18 (16), 8595, 2021 | 11 | 2021 |
| Product family configuration optimisation considering after-sale service: an adaptive quantum evolutionary algorithm approach X Luo, Y Du, Z Zhang, CK Kwong Journal of Engineering Design 33 (10), 728-759, 2022 | 8 | 2022 |
| Product line pricing under marginal moment model with network effect W Qi, X Luo, X Liu, Y Yu, Z Zhang Complexity 2019 (1), 6104805, 2019 | 8 | 2019 |
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Alejandro Rosales-PérezCIMATVerified email at cimat.mx
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USAVerified email at rit.edu