Robust feature selection using label enhancement and β-precision fuzzy rough sets for multilabel fuzzy decision system

[1]  Jiye Liang,et al.  Fuzzy rough discrimination and label weighting for multi-label feature selection , 2021, Neurocomputing.

[2]  Xin Geng,et al.  Label Distribution Learning by Exploiting Label Distribution Manifold , 2021, IEEE Transactions on Neural Networks and Learning Systems.

[3]  Yuhua Qian,et al.  Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion , 2021, IEEE Transactions on Fuzzy Systems.

[4]  Günter Rudolph,et al.  Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade , 2021, SIGIR.

[5]  Deyu Li,et al.  Multilabel Feature Selection Based on Relative Discernibility Pair Matrix , 2021, IEEE Transactions on Fuzzy Systems.

[6]  Tianrui Li,et al.  Unsupervised attribute reduction for mixed data based on fuzzy rough sets , 2021, Inf. Sci..

[7]  Degang Chen,et al.  Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets , 2021, Fuzzy Sets Syst..

[8]  Wenbin Qian,et al.  A ranking-based feature selection for multi-label classification with fuzzy relative discernibility , 2021, Appl. Soft Comput..

[9]  Jimson Mathew,et al.  Multi-objective PSO based online feature selection for multi-label classification , 2021, Knowl. Based Syst..

[10]  Zehong Cao,et al.  Attribute reduction with fuzzy rough self-information measures , 2021, Inf. Sci..

[11]  Yonghong Shi,et al.  Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network , 2021, IEEE Transactions on Neural Networks and Learning Systems.

[12]  Shunxiang Wu,et al.  Multi-label feature selection with constraint regression and adaptive spectral graph , 2021, Knowl. Based Syst..

[13]  Hamido Fujita,et al.  CMC: A consensus multi-view clustering model for predicting Alzheimer's disease progression , 2020, Comput. Methods Programs Biomed..

[14]  Hongbin Dong,et al.  A many-objective feature selection for multi-label classification , 2020, Knowl. Based Syst..

[15]  Wenhao Shu,et al.  Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement , 2020, Applied Intelligence.

[16]  Jiucheng Xu,et al.  Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems , 2020, Inf. Sci..

[17]  Wanfu Gao,et al.  Robust multi-label feature selection with dual-graph regularization , 2020, Knowl. Based Syst..

[18]  Pramod Kumar Singh,et al.  FS-MLC: Feature selection for multi-label classification using clustering in feature space , 2020, Inf. Process. Manag..

[19]  Yinglong Wang,et al.  Mutual information-based label distribution feature selection for multi-label learning , 2020, Knowl. Based Syst..

[20]  Yan Wang,et al.  Fuzzy Rough Attribute Reduction for Categorical Data , 2020, IEEE Transactions on Fuzzy Systems.

[21]  Hossein Nezamabadi-pour,et al.  MLACO: A multi-label feature selection algorithm based on ant colony optimization , 2020, Knowl. Based Syst..

[22]  Philip S. Yu,et al.  Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation , 2020, IEEE Transactions on Multimedia.

[23]  Lin Sun,et al.  Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems , 2019, Knowl. Based Syst..

[24]  Degang Chen,et al.  Alignment Based Feature Selection for Multi-label Learning , 2019, Neural Processing Letters.

[25]  Rui Huang,et al.  Manifold-based constraint Laplacian score for multi-label feature selection , 2018, Pattern Recognit. Lett..

[26]  N. Xu,et al.  Label Enhancement for Label Distribution Learning , 2018, IEEE Transactions on Knowledge and Data Engineering.

[27]  Min-Ling Zhang,et al.  Feature-Induced Labeling Information Enrichment for Multi-Label Learning , 2018, AAAI.

[28]  Qinghua Hu,et al.  Multi-label feature selection with missing labels , 2018, Pattern Recognit..

[29]  Qinghua Hu,et al.  Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information , 2017, IEEE Transactions on Fuzzy Systems.

[30]  Lingyu Xu,et al.  Multi-label feature selection algorithm based on label pairwise ranking comparison transformation , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

[31]  Dae-Won Kim,et al.  Optimization approach for feature selection in multi-label classification , 2017, Pattern Recognit. Lett..

[32]  Hua Li,et al.  A novel attribute reduction approach for multi-label data based on rough set theory , 2016, Inf. Sci..

[33]  Huan Liu,et al.  Multi-Label Informed Feature Selection , 2016, IJCAI.

[34]  Qinghua Hu,et al.  Multi-label feature selection based on max-dependency and min-redundancy , 2015, Neurocomputing.

[35]  Dae-Won Kim,et al.  Fast multi-label feature selection based on information-theoretic feature ranking , 2015, Pattern Recognit..

[36]  Sebastián Ventura,et al.  Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context , 2015, Neurocomputing.

[37]  Yi Yang,et al.  A Convex Formulation for Semi-Supervised Multi-Label Feature Selection , 2014, AAAI.

[38]  Dae-Won Kim,et al.  Feature selection for multi-label classification using multivariate mutual information , 2013, Pattern Recognit. Lett..

[39]  Qinghua Hu,et al.  On Robust Fuzzy Rough Set Models , 2012, IEEE Transactions on Fuzzy Systems.

[40]  Nicu Sebe,et al.  Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection , 2012, IEEE Transactions on Multimedia.

[41]  Qinghua Hu,et al.  Fuzzy preference based rough sets , 2010, Inf. Sci..

[42]  Zhi-Hua Zhou,et al.  Multilabel dimensionality reduction via dependence maximization , 2008, TKDD.

[43]  Zhi-Hua Zhou,et al.  ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..

[44]  J. Demšar.  Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..

[45]  Jesús Manuel Fernández Salido,et al.  Rough set analysis of a general type of fuzzy data using transitive aggregations of fuzzy similarity relations , 2003, Fuzzy Sets Syst..

[46]  D. Dubois,et al.  ROUGH FUZZY SETS AND FUZZY ROUGH SETS , 1990 .

[47]  V. Murali.  Fuzzy equivalence relations , 1989 .

[48]  M. Friedman.  A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .

[49]  Jiazhi Song,et al.  Multi-label feature selection considering label supplementation , 2021, Pattern Recognit..

[50]  Zhejun Wu,et al.  Multi-label feature selection via manifold regularization and dependence maximization , 2021, Pattern Recognit..

[51]  Yonghong Xie,et al.  Label distribution feature selection for multi-label classification with rough set , 2021, Int. J. Approx. Reason..

[52]  Jie Duan,et al.  Multi-label feature selection based on neighborhood mutual information , 2016, Appl. Soft Comput..

[53]  Zdzis?aw Pawlak,et al.  Rough sets , 2005, International Journal of Computer & Information Sciences.