ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set

Multi-label feature selection with local discriminant model and label correlations

(2021) Yuling Fan et al.   NEUROCOMPUTING

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification

(2021) Lin Sun et al.   INFORMATION SCIENCES

Feature selection for multi-label learning with streaming label

(2020) Jinghua Liu et al.   NEUROCOMPUTING

Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information

(2020) Zhi-Chao Sha et al.   APPLIED INTELLIGENCE

A context-aware recommendation approach based on feature selection

(2020) Lei Chen et al.   APPLIED INTELLIGENCE

Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification

(2020) Shengxing Bai et al.   APPLIED INTELLIGENCE

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems

(2020) Lin Sun et al.   INFORMATION SCIENCES

Label distribution feature selection for multi-label classification with rough set

(2020) Wenbin Qian et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

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

Streaming Feature Selection for Multi-Label Data with Dynamic Sliding Windows and Feature Repulsion Loss

(2019) Yu Li et al.   Entropy

Distinguishing two types of labels for multi-label feature selection

(2019) Ping Zhang et al.   PATTERN RECOGNITION

Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets

(2018) Qinghua Hu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Multi-label learning with label-specific features by resolving label correlations

(2018) Jia Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Online Multi-label Streaming Feature Selection Based on Neighborhood Rough Set

(2018) Jinghua Liu et al.   PATTERN RECOGNITION

Multi-label feature selection with application to TCM state identification

(2018) Liang Dai et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Feature selection for multi-label learning based on kernelized fuzzy rough sets

(2018) Yuwen Li et al.   NEUROCOMPUTING

OFS-Density: A novel online streaming feature selection method

(2018) Peng Zhou et al.   PATTERN RECOGNITION

Online streaming feature selection using adapted Neighborhood Rough Set

(2018) Peng Zhou et al.   INFORMATION SCIENCES

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information

(2017) Yaojin Lin et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A Fitting Model for Feature Selection With Fuzzy Rough Sets

(2017) Changzhong Wang et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Feature selection and approximate reasoning of large-scale set-valued decision tables based on α -dominance-based quantitative rough sets

(2017) Hong-Ying Zhang et al.   INFORMATION SCIENCES

Feature selection based on generalized variable-precision $$(\vartheta ,\sigma )$$ ( ϑ , σ ) -fuzzy granular rough set model over two universes

(2017) Hong-Ying Zhang et al.   International Journal of Machine Learning and Cybernetics

A novel attribute reduction approach for multi-label data based on rough set theory

(2016) Hua Li et al.   INFORMATION SCIENCES

Multi-label feature selection with streaming labels

(2016) Yaojin Lin et al.   INFORMATION SCIENCES

Online streaming feature selection using rough sets

(2016) S. Eskandari et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Streamwise feature selection: a rough set method

(2016) Mohammad Masoud Javidi et al.   International Journal of Machine Learning and Cybernetics

Lift: Multi-Label Learning with Label-Specific Features

(2015) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-label feature selection based on max-dependency and min-redundancy

(2015) Yaojin Lin et al.   NEUROCOMPUTING

A relative decision entropy-based feature selection approach

(2015) Feng Jiang et al.   PATTERN RECOGNITION

Attribute reduction: A dimension incremental strategy

(2012) Feng Wang et al.   KNOWLEDGE-BASED SYSTEMS

Feature selection for multi-label classification using multivariate mutual information

(2012) Jaesung Lee et al.   PATTERN RECOGNITION LETTERS

Multilabel dimensionality reduction via dependence maximization

(2010) Yin Zhang et al.   ACM Transactions on Knowledge Discovery from Data

Feature selection for multi-label naive Bayes classification

(2009) Min-Ling Zhang et al.   INFORMATION SCIENCES