Suping Xu

According to our database1, Suping Xu authored at least 18 papers between 2012 and 2023.

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Bibliography

2023
Multi-label learning with Relief-based label-specific feature selection.
Appl. Intell., August, 2023

A Q-learning approach to attribute reduction.
Appl. Intell., February, 2023

2022
Triple-G: a new MGRS and attribute reduction.
Int. J. Mach. Learn. Cybern., 2022

2021
Attribute-driven image captioning via soft-switch pointer.
Pattern Recognit. Lett., 2021

Research on Comprehensive Evaluation of Data Source Quality in Big Data Environment.
Int. J. Comput. Intell. Syst., 2021

Robust supervised rough granular description model with the principle of justifiable granularity.
Appl. Soft Comput., 2021

2020
Label distribution learning: A local collaborative mechanism.
Int. J. Approx. Reason., 2020

2019
Foreground Mask Guided Network for Crowd Counting.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Latent Semantics Encoding for Label Distribution Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method).
计算机科学, 2017

Multigranulation rough set: A multiset based strategy.
Int. J. Comput. Intell. Syst., 2017

Attribute Reduction: An Ensemble Strategy.
Proceedings of the Rough Sets - International Joint Conference, 2017

2016
Multi-label learning with label-specific feature reduction.
Knowl. Based Syst., 2016

基于样本选择的启发式属性约简方法研究 (New Heuristic Attribute Reduction Algorithm Based on Sample Selection).
计算机科学, 2016

Neighborhood collaborative classifiers.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
Sparse auto-encoder based feature learning for human body detection in depth image.
Signal Process., 2015

Prediction of protein structural classes by decreasing nearest neighbor error rate.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2012
The Models of Variable Precision Multigranulation Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012


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