Leijun Li

Orcid: 0000-0003-2411-3846

According to our database1, Leijun Li authored at least 20 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A real-time and lightweight driver fatigue detection model using anchor-free and visual-attention mechanisms.
Appl. Intell., October, 2024

Enhanced Path Planning and Obstacle Avoidance Based on High-Precision Mapping and Positioning.
Sensors, May, 2024

Granular structure evaluation and selection based on justifiable granularity principle.
Inf. Sci., 2024

Information granule optimization and co-training based on kernel method.
Appl. Soft Comput., 2024

2023
Visual Sensing and Depth Perception for Welding Robots and Their Industrial Applications.
Sensors, December, 2023

Knowledge acquisition of multi-granularity ordered information systems.
Appl. Soft Comput., October, 2023

DAssd-Net: A Lightweight Steel Surface Defect Detection Model Based on Multi-Branch Dilated Convolution Aggregation and Multi-Domain Perception Detection Head.
Sensors, 2023

2021
Prediction confidence-based dynamic selection and weighted integration.
Concurr. Comput. Pract. Exp., 2021

2020
Dynamic granularity selection based on local weighted accuracy and local likelihood ratio.
Appl. Soft Comput., 2020

2019
A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts.
J. Intell. Fuzzy Syst., 2019

2018
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, 2018

2016
A novel approach for ranking in interval-valued information systems.
J. Intell. Fuzzy Syst., 2016

On the use of cut set for attribute reduction in L-fuzzy concept lattice.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2014
Exploration of classification confidence in ensemble learning.
Pattern Recognit., 2014

Exploiting diversity for optimizing margin distribution in ensemble learning.
Knowl. Based Syst., 2014

Attribute reduction based on maximal rules in decision formal context.
Int. J. Comput. Intell. Syst., 2014

2013
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Dynamic classifier ensemble using classification confidence.
Neurocomputing, 2013

Exploring Margin for Dynamic Ensemble Selection.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

2012
Fault diagnosis based on pruned ensemble.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012


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