Wenhao Shu
Orcid: 0000-0003-2422-6760
According to our database1,
Wenhao Shu
authored at least 65 papers
between 1988 and 2024.
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Bibliography
2024
Multi-label feature selection for missing labels by granular-ball based mutual information.
Appl. Intell., December, 2024
Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency.
Int. J. Mach. Learn. Cybern., October, 2024
Appl. Intell., October, 2024
Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data.
Mach. Learn., September, 2024
Semi-supervised feature selection based on discernibility matrix and mutual information.
Appl. Intell., July, 2024
Incremental feature selection based on uncertainty measure for dynamic interval-valued data.
Int. J. Mach. Learn. Cybern., April, 2024
A composite entropy-based uncertainty measure guided attribute reduction for imbalanced mixed-type data.
J. Intell. Fuzzy Syst., March, 2024
Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data.
Neurocomputing, January, 2024
Multi-label feature selection based on granular ball and fuzzy neighborhood mutual information.
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
Inf. Sci., December, 2023
Inf. Fusion, December, 2023
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball.
Appl. Intell., October, 2023
Disambiguation-based partial label feature selection via feature dependency and label consistency.
Inf. Fusion, June, 2023
Appl. Intell., March, 2023
Knowl. Based Syst., 2023
A multi-measure feature selection method for decision systems with preference relation.
J. Intell. Fuzzy Syst., 2023
Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach.
Int. J. Approx. Reason., 2023
2022
Feature selection for label distribution learning via feature similarity and label correlation.
Inf. Sci., 2022
Information granularity-based incremental feature selection for partially labeled hybrid data.
Intell. Data Anal., 2022
Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set.
Appl. Intell., 2022
2021
Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement.
Appl. Intell., 2021
2020
Knowl. Based Syst., 2020
Mutual information-based label distribution feature selection for multi-label learning.
Knowl. Based Syst., 2020
Parametric modeling and performance analysis of a personalized insole based on 3D scanning and selective laser sintering.
Int. J. Comput. Integr. Manuf., 2020
2019
Incremental approaches for feature selection from dynamic data with the variation of multiple objects.
Knowl. Based Syst., 2019
An Efficient Uncertainty Measure-based Attribute Reduction Approach for Interval-valued Data with Missing Values.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019
Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values.
IEEE Access, 2019
2018
An efficient approximation algorithm for the extension facility location problem on torus internetwork topology.
Int. J. Comput. Sci. Math., 2018
Appl. Soft Comput., 2018
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
Proceedings of the Fuzzy Systems and Data Mining IV, 2018
2017
Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Approximate optimization for facility location on two-dimensional internetwork topology.
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
Pattern Recognit., 2016
Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System.
J. Inf. Sci. Eng., 2016
Improving matrix approximation for recommendation via a clustering-based reconstructive method.
Neurocomputing, 2016
2015
Feature Selection using Compact Discernibility Matrix-based Approach in Dynamic Incomplete Decision System.
J. Inf. Sci. Eng., 2015
Neurocomputing, 2015
An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory.
Data Knowl. Eng., 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
2014
Pattern Recognit., 2014
A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems.
Knowl. Based Syst., 2014
Updating attribute reduction in incomplete decision systems with the variation of attribute set.
Int. J. Approx. Reason., 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014
2013
A rough-set based incremental approach for updating attribute reduction under dynamic incomplete decision systems.
Proceedings of the FUZZ-IEEE 2013, 2013
2012
Proceedings of the Fifth International Symposium on Parallel Architectures, 2012
2010
A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers.
Expert Syst. Appl., 2010
2009
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009
Efficient Algorithm for Attribute Reduction of Incomplete Information Systems Based on Assignment Matrix.
Proceedings of the Fuzzy Information and Engineering, 2009
2005
Pattern Recognit., 2005
2004
Int. J. Pattern Recognit. Artif. Intell., 2004
2003
An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters.
Int. J. Pattern Recognit. Artif. Intell., 2003
2001
2000
Proceedings of the IEEE International Conference on Systems, 2000
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 2000
1998
Feature selection for handwritten Chinese character recognition based on genetic algorithms.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
1996
Traverse Features and Structural Features in Handwritten Chinese Character Recognition.
Proceedings of the Multimedia Technology and Applications, 1996
1988
Proceedings of IAPR Workshop on Computer Vision, 1988
Proceedings of the 9th International Conference on Pattern Recognition, 1988