Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
Authors
Keywords
Feature selection, Neighborhood rough sets, Fisher Score, Multilabel classification
Journal
INFORMATION SCIENCES
Volume 578, Issue -, Pages 887-912
Publisher
Elsevier BV
Online
2021-08-12
DOI
10.1016/j.ins.2021.08.032
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy
- (2021) Lin Sun et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems
- (2020) Lin Sun et al. INFORMATION SCIENCES
- Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets
- (2020) Lin Sun et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Multigranulation Supertrust Model for Attribute Reduction
- (2020) Weiping Ding et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems
- (2019) Lin Sun et al. KNOWLEDGE-BASED SYSTEMS
- Reverse-nearest neighborhood based oversampling for imbalanced, multi-label datasets
- (2019) Payel Sadhukhan et al. PATTERN RECOGNITION LETTERS
- Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification
- (2019) Lin Sun et al. INFORMATION SCIENCES
- Manifold regularized discriminative feature selection for multi-label learning
- (2019) Jia Zhang et al. PATTERN RECOGNITION
- A novel approach for learning label correlation with application to feature selection of multi-label data
- (2019) Xiaoya Che et al. INFORMATION SCIENCES
- Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
- (2019) Lin Sun et al. KNOWLEDGE-BASED SYSTEMS
- Fuzzy Rough Attribute Reduction for Categorical Data
- (2019) Changzhong Wang et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Feature Selection Based on Neighborhood Self-Information
- (2019) Changzhong Wang et al. IEEE Transactions on Cybernetics
- Multi-Label Learning with Global and Local Label Correlation
- (2018) Yue Zhu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Multi-label classification using a fuzzy rough neighborhood consensus
- (2018) Sarah Vluymans et al. INFORMATION SCIENCES
- Differential evolution for filter feature selection based on information theory and feature ranking
- (2018) Emrah Hancer et al. KNOWLEDGE-BASED SYSTEMS
- Online Multi-label Streaming Feature Selection Based on Neighborhood Rough Set
- (2018) Jinghua Liu et al. PATTERN RECOGNITION
- Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes
- (2018) Weiping Ding et al. IEEE Transactions on Cybernetics
- Manifold-based constraint Laplacian score for multi-label feature selection
- (2018) Rui Huang et al. PATTERN RECOGNITION LETTERS
- Joint neighborhood entropy-based gene selection method with fisher score for tumor classification
- (2018) Lin Sun et al. APPLIED INTELLIGENCE
- Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces
- (2018) Weiping Ding et al. IEEE Transactions on Neural Networks and Learning Systems
- Optimization approach for feature selection in multi-label classification
- (2017) Hyunki Lim et al. PATTERN RECOGNITION LETTERS
- Multi-label feature selection via feature manifold learning and sparsity regularization
- (2017) Zhiling Cai et al. International Journal of Machine Learning and Cybernetics
- Multi-label feature selection based on neighborhood mutual information
- (2016) Yaojin Lin et al. APPLIED SOFT COMPUTING
- Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification
- (2016) Jun Huang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Multi-label feature selection based on max-dependency and min-redundancy
- (2015) Yaojin Lin et al. NEUROCOMPUTING
- Neighborhood rough sets based multi-label classification for automatic image annotation
- (2013) Ying Yu et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection
- (2012) Zhigang Ma et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Feature selection using rough entropy-based uncertainty measures in incomplete decision systems
- (2012) Lin Sun et al. KNOWLEDGE-BASED SYSTEMS
- Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndrome
- (2009) Salih Güneş et al. EXPERT SYSTEMS WITH APPLICATIONS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now