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2020 – today
- 2024
[j16]Ji Wang, Baoming Li, Zhaoye Li, Peiquan Xu
, Leijun Li:
A real-time and lightweight driver fatigue detection model using anchor-free and visual-attention mechanisms. Appl. Intell. 54(20): 9811-9829 (2024)- [j15]Yuzhang Bai, Jusheng Mi, Leijun Li:
Information granule optimization and co-training based on kernel method. Appl. Soft Comput. 158: 111584 (2024) - [j14]Leijun Li, Meizheng Li, Ju-Sheng Mi:
Granular structure evaluation and selection based on justifiable granularity principle. Inf. Sci. 665: 120403 (2024) - [j13]Feng Zhang, Leijun Li, Peiquan Xu, Pengyu Zhang:
Enhanced Path Planning and Obstacle Avoidance Based on High-Precision Mapping and Positioning. Sensors 24(10): 3100 (2024) - 2023
- [j12]Zhiyong Hu, Mingwen Shao, Weizhi Wu, Leijun Li:
Knowledge acquisition of multi-granularity ordered information systems. Appl. Soft Comput. 146: 110674 (2023) - [j11]Ji Wang, Peiquan Xu, Leijun Li, Feng Zhang:
DAssd-Net: A Lightweight Steel Surface Defect Detection Model Based on Multi-Branch Dilated Convolution Aggregation and Multi-Domain Perception Detection Head. Sensors 23(12): 5488 (2023) - [j10]Ji Wang, Leijun Li, Peiquan Xu:
Visual Sensing and Depth Perception for Welding Robots and Their Industrial Applications. Sensors 23(24): 9700 (2023) - 2021
- [j9]Leijun Li, Meizheng Li, Ju-Sheng Mi, Bin Xie:
Prediction confidence-based dynamic selection and weighted integration. Concurr. Comput. Pract. Exp. 33(8) (2021) - 2020
- [j8]Leijun Li, Meizheng Li, Ju-Sheng Mi, Bin Xie:
Dynamic granularity selection based on local weighted accuracy and local likelihood ratio. Appl. Soft Comput. 89: 106087 (2020)
2010 – 2019
- 2019
- [j7]Leijun Li, Meizheng Li, Ju-Sheng Mi, Bin Xie:
A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts. J. Intell. Fuzzy Syst. 37(3): 4325-4337 (2019) - 2018
- [j6]Meizheng Li, Leijun Li, Jusheng Mi, Bin Xie:
概念格中基于粗糙熵的属性约简方法 (Rough Entropy Based Algorithm for Attribute Reduction in Concept Lattice). 计算机科学 45(1): 84-89 (2018) - 2016
- [j5]Bin Xie, Leijun Li, Ju-Sheng Mi:
A novel approach for ranking in interval-valued information systems. J. Intell. Fuzzy Syst. 30(1): 523-534 (2016) - [c3]Leijun Li, Bin Xie, Ju-Sheng Mi, Meizheng Li:
On the use of cut set for attribute reduction in L-fuzzy concept lattice. ICMLC 2016: 323-330 - 2014
- [j4]Leijun Li, Ju-Sheng Mi, Bin Xie:
Attribute reduction based on maximal rules in decision formal context. Int. J. Comput. Intell. Syst. 7(6): 1044-1053 (2014) - [j3]Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer, Daren Yu:
Exploiting diversity for optimizing margin distribution in ensemble learning. Knowl. Based Syst. 67: 90-104 (2014) - [j2]Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu:
Exploration of classification confidence in ensemble learning. Pattern Recognit. 47(9): 3120-3131 (2014) - 2013
- [j1]Leijun Li, Bo Zou, Qinghua Hu, Xiangqian Wu, Daren Yu:
Dynamic classifier ensemble using classification confidence. Neurocomputing 99: 581-591 (2013) - [c2]Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu:
Exploring Margin for Dynamic Ensemble Selection. RSKT 2013: 178-187 - [p1]Qinghua Hu, Leijun Li, Pengfei Zhu:
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning. Rough Sets and Intelligent Systems (1) 2013: 277-307 - 2012
- [c1]Jian Sun, Leijun Li, Qinghua Hu:
Fault diagnosis based on pruned ensemble. ICMLC 2012: 35-40
Coauthor Index
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