A comprehensive survey on feature selection in the various fields of machine learning

[1]  Shang Lei,et al.  A Feature Selection Method Based on Information Gain and Genetic Algorithm , 2012, 2012 International Conference on Computer Science and Electronics Engineering.

[2]  Pushpak Bhattacharyya,et al.  Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis , 2017, Knowl. Based Syst..

[3]  Daoqiang Zhang,et al.  An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images , 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[4]  Keinosuke Fukunaga,et al.  A Branch and Bound Algorithm for Feature Subset Selection , 1977, IEEE Transactions on Computers.

[5]  Lizhuang Ma,et al.  Deep feature selection and projection for cross-age face retrieval , 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

[6]  Muhammad Abuzar Fahiem,et al.  A Statistical-Textural-Features Based Approach for Classification of Solid Drugs Using Surface Microscopic Images , 2014, Comput. Math. Methods Medicine.

[7]  Jun-Wei Mao,et al.  Speech emotion recognition based on feature selection and extreme learning machine decision tree , 2018, Neurocomputing.

[8]  Zhaohui Wu,et al.  MASC: A Speech Corpus in Mandarin for Emotion Analysis and Affective Speaker Recognition , 2006, 2006 IEEE Odyssey - The Speaker and Language Recognition Workshop.

[9]  V. Sharma,et al.  Automated Classification of Fatty and Normal Liver Ultrasound Images Based on Mutual Information Feature Selection , 2018 .

[10]  Carlos Busso,et al.  IEMOCAP: interactive emotional dyadic motion capture database , 2008, Lang. Resour. Evaluation.

[11]  Ben Niu,et al.  A discrete bacterial algorithm for feature selection in classification of microarray gene expression cancer data , 2017, Knowl. Based Syst..

[12]  K. Manikantan,et al.  Shift Invariance based Feature Extraction and Weighted BPSO based Feature Selection for Enhanced Face Recognition , 2013 .

[13]  Jianyu Yang,et al.  Object-oriented feature selection of high spatial resolution images using an improved Relief algorithm , 2013, Math. Comput. Model..

[14]  Judit Bóna,et al.  Temporal characteristics of speech: the effect of age and speech style. , 2014, The Journal of the Acoustical Society of America.

[15]  Huan Liu,et al.  Consistency-based search in feature selection , 2003, Artif. Intell..

[16]  Randal S. Olson,et al.  Relief-Based Feature Selection: Introduction and Review , 2017, J. Biomed. Informatics.

[17]  Pankaj Deep Kaur,et al.  A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment , 2020, Appl. Soft Comput..

[18]  Roliana Ibrahim,et al.  Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis , 2017, Expert Syst. Appl..

[19]  João Paulo Teixeira,et al.  CENTERIS 2013-Conference on ENTERprise Information Systems / HCIST 2013-International Conference on Health and Social Care Information Systems and Technologies Vocal Acoustic Analysis-Jitter , Shimmer and HNR Parameters , 2013 .

[20]  Kaya Oguz,et al.  Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers , 2020, Speech Commun..

[21]  Yu Jiang,et al.  mRMR-based feature selection for classification of cotton foreign matter using hyperspectral imaging , 2015, Comput. Electron. Agric..

[22]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[23]  Yuan-Shun Dai,et al.  Feature selection based on feature interactions with application to text categorization , 2019, Expert Syst. Appl..

[24]  Josef Kittler,et al.  Divergence Based Feature Selection for Multimodal Class Densities , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[25]  Giovanni Costantini,et al.  EMOVO Corpus: an Italian Emotional Speech Database , 2014, LREC.

[26]  Prabhat Ranjan,et al.  Newton's second law based PSO for feature selection: Newtonian PSO , 2019, J. Intell. Fuzzy Syst..

[27]  Elena Lloret,et al.  COMPENDIUM: A text summarization system for generating abstracts of research papers , 2013, Data Knowl. Eng..

[28]  Amparo Alonso-Betanzos,et al.  Distributed Correlation-Based Feature Selection in Spark , 2019, Inf. Sci..

[29]  Nouman Azam,et al.  Comparison of term frequency and document frequency based feature selection metrics in text categorization , 2012, Expert Syst. Appl..

[30]  Lipo Wang,et al.  A Modified T-test Feature Selection Method and Its Application on the HapMap Genotype Data , 2008, Genom. Proteom. Bioinform..

[31]  A. Srikrishna,et al.  Frequent itemset-based feature selection and Rider Moth Search Algorithm for document clustering , 2019, J. King Saud Univ. Comput. Inf. Sci..

[32]  Andrea Esuli,et al.  Using Micro-Documents for Feature Selection: The Case of Ordinal Text Classification , 2013, IIR.

[33]  Wei Li,et al.  Kernel learning and optimization with Hilbert–Schmidt independence criterion , 2018, Int. J. Mach. Learn. Cybern..

[34]  Turgut Özseven,et al.  A novel feature selection method for speech emotion recognition , 2019, Applied Acoustics.

[35]  Sudarson Jena,et al.  Correlation based feature selection with clustering for high dimensional data , 2018, Journal of Electrical Systems and Information Technology.

[36]  Frans Coetzee,et al.  Correcting the Kullback-Leibler distance for feature selection , 2005, Pattern Recognit. Lett..

[37]  Francisco Herrera,et al.  Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection , 2017, Knowl. Based Syst..

[38]  S. Arivazhagan,et al.  Color texture classification using wavelet transform , 2005, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05).

[39]  S. Ramachandran,et al.  Face recognition using transform domain feature extraction and PSO-based feature selection , 2014, Appl. Soft Comput..

[40]  Dipanjan Das Andr,et al.  A Survey on Automatic Text Summarization , 2007 .

[41]  Maurice Pillet,et al.  Modal features for image texture classification , 2020, Pattern Recognit. Lett..

[42]  Gurpreet Singh Lehal,et al.  A Survey of Text Summarization Extractive Techniques , 2010 .

[43]  Senem Kumova Metin,et al.  Feature selection in multiword expression recognition , 2018, Expert Syst. Appl..

[44]  Jian Su,et al.  Supervised and Traditional Term Weighting Methods for Automatic Text Categorization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[45]  Vadlamani Ravi,et al.  Detection of financial statement fraud and feature selection using data mining techniques , 2011, Decis. Support Syst..

[46]  K. Steiglitz,et al.  Adaptive step size random search , 1968 .

[47]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[48]  Ghazaala Yasmin,et al.  Graph based feature selection investigating boundary region of rough set for language identification , 2020, Expert Syst. Appl..

[49]  Ebrahim Akbari,et al.  A hybrid feature selection method based on information theory and binary butterfly optimization algorithm , 2021, Eng. Appl. Artif. Intell..

[50]  Li Song,et al.  Recognizing Common CT Imaging Signs of Lung Diseases Through a New Feature Selection Method Based on Fisher Criterion and Genetic Optimization , 2015, IEEE Journal of Biomedical and Health Informatics.

[51]  Shun-Ren Xia,et al.  Fractional‐order Darwinian PSO‐based feature selection for media‐adventitia border detection in intravascular ultrasound images , 2019, Ultrasonics.

[52]  Millie Pant,et al.  Link based BPSO for feature selection in big data text clustering , 2017, Future Gener. Comput. Syst..

[53]  Lin Sun,et al.  Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification , 2019, Inf. Sci..

[54]  Huan Liu,et al.  A Probabilistic Approach to Feature Selection - A Filter Solution , 1996, ICML.

[55]  Le Song,et al.  Supervised feature selection via dependence estimation , 2007, ICML '07.

[56]  Giovanni Costantini,et al.  Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure , 2014, Knowl. Based Syst..

[57]  Constantine Kotropoulos,et al.  Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition , 2008, Signal Process..

[58]  R. Vijayanand,et al.  Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection , 2018, Comput. Secur..

[59]  Mohammed Al-Sarem,et al.  Feature selection using an improved Chi-square for Arabic text classification , 2020, J. King Saud Univ. Comput. Inf. Sci..

[60]  Karim Faez,et al.  An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system , 2008, Appl. Math. Comput..

[61]  Tom J. Moir,et al.  Pseudo-color cochleagram image feature and sequential feature selection for robust acoustic event recognition , 2018, Applied Acoustics.

[62]  Han Tong Loh,et al.  Imbalanced text classification: A term weighting approach , 2009, Expert Syst. Appl..

[63]  Satchidananda Dehuri,et al.  A Study on the Relevance of Feature Selection Methods in Microarray Data , 2018, The Open Bioinformatics Journal.

[64]  Astrid Paeschke,et al.  A database of German emotional speech , 2005, INTERSPEECH.

[65]  Ioannis Pitas,et al.  The eNTERFACE’05 Audio-Visual Emotion Database , 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

[66]  Yi-Ping Phoebe Chen,et al.  Acoustic feature selection for automatic emotion recognition from speech , 2009, Inf. Process. Manag..

[67]  Zhe Li,et al.  A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning , 2017, Comput. Biol. Medicine.

[68]  Hélène Kerhervé,et al.  Two-Stage Feature Selection of Voice Parameters for Early Alzheimer's Disease Prediction , 2018, IRBM.

[69]  Harun Uguz,et al.  A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm , 2011, Knowl. Based Syst..

[70]  Lishuang Li,et al.  A Two-Stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings , 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[71]  Jing Liu,et al.  Feature selection based on FDA and F-score for multi-class classification , 2017, Expert Syst. Appl..

[72]  Ali Aghagolzadeh,et al.  Feature extraction using discrete cosine transform for face recognition , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

[73]  Arun Sundararaman,et al.  Novel Approach to Predict Hospital Readmissions Using Feature Selection from Unstructured Data with Class Imbalance , 2018, Big Data Res..

[74]  Vinod Kumar Jain,et al.  Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification , 2018, Appl. Soft Comput..

[75]  Giovanni Fusco,et al.  Structured multi-class feature selection with an application to face recognition , 2015, Pattern Recognit. Lett..

[76]  Ashutosh Kumar Singh,et al.  Web-Spam Features Selection Using CFS-PSO , 2018 .

[77]  Chandrashekhar Azad,et al.  A novel approach for blood vessel segmentation with exudate detection in diabetic retinopathy , 2020, 2020 International Conference on Artificial Intelligence and Signal Processing (AISP).

[78]  Alma Y. Alanis,et al.  Image Classification Using PSO-SVM and an RGB-D Sensor , 2014 .

[79]  Georgios Paliouras,et al.  Stacking Classifiers for Anti-Spam Filtering of E-Mail , 2001, EMNLP.

[80]  Gary Geunbae Lee,et al.  Information gain and divergence-based feature selection for machine learning-based text categorization , 2006, Inf. Process. Manag..

[81]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[82]  Ahmed Hamza Osman,et al.  A Novel Feature Selection Based on One-Way ANOVA F-Test for E-Mail Spam Classification , 2014 .

[83]  Seung-Hyun Moon,et al.  An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression , 2020 .

[84]  Dost Muhammad Khan,et al.  Feature selection and classification for gene expression data using novel correlation based overlapping score method via Chou’s 5-steps rule , 2020 .

[85]  Abdur Rehman,et al.  Feature selection based on a normalized difference measure for text classification , 2017, Inf. Process. Manag..

[86]  Tansel Özyer,et al.  A Consistency-Based Feature Selection Method Allied with Linear SVMs for HIV-1 Protease Cleavage Site Prediction , 2013, PloS one.

[87]  Curtis Huffman,et al.  Laser-induced breakdown spectroscopy spectral feature selection to enhance classification capabilities: A t-test filter approach , 2019 .

[88]  Bassam Al-Salemi,et al.  Feature ranking for enhancing boosting-based multi-label text categorization , 2018, Expert Syst. Appl..

[89]  C. Neves.  Categorical data analysis, third edition , 2014 .

[90]  Kewei Cheng,et al.  Feature Selection , 2016, ACM Comput. Surv..

[91]  Zhiqiang Toh,et al.  DLIREC: Aspect Term Extraction and Term Polarity Classification System , 2014, *SEMEVAL.

[92]  Deqing Wang,et al.  Feature selection based on term frequency and T-test for text categorization , 2012, CIKM.

[93]  Chaouki Khammassi,et al.  A GA-LR wrapper approach for feature selection in network intrusion detection , 2017, Comput. Secur..

[94]  Yu-Kun Lai,et al.  Example-based image colorization via automatic feature selection and fusion , 2017, Neurocomputing.

[95]  Alper Kursat Uysal,et al.  Improved inverse gravity moment term weighting for text classification , 2019, Expert Syst. Appl..

[96]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[97]  Chen Ma,et al.  Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information , 2020, Applied Intelligence.

[98]  Qingshan Jiang,et al.  Feature selection via maximizing global information gain for text classification , 2013, Knowl. Based Syst..

[99]  Masashi Sugiyama,et al.  High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso , 2012, Neural Computation.

[100]  Miroslaw Bober,et al.  MPEG-7 visual shape descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[101]  Chandrashekhar Azad,et al.  A multi-objective feature selection method using Newton's law based PSO with GWO , 2021, Appl. Soft Comput..

[102]  Wenjiang Huang,et al.  A comparative analysis of mutual information based feature selection for hyperspectral image classification , 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

[103]  S. C. Neoh,et al.  A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition , 2017, IEEE Transactions on Cybernetics.

[104]  Le Song,et al.  Feature Selection via Dependence Maximization , 2012, J. Mach. Learn. Res..

[105]  Vasileios Hatzivassiloglou,et al.  Predicting the Semantic Orientation of Adjectives , 1997, ACL.

[106]  K. Manikantan,et al.  Optimal Feature Selection based on Image Pre-processing using Accelerated Binary Particle Swarm Optimization for Enhanced Face Recognition , 2012 .

[107]  Pramod Kumar Singh,et al.  Opposition chaotic fitness mutation based adaptive inertia weight BPSO for feature selection in text clustering , 2016, Appl. Soft Comput..

[108]  Hiroshi Motoda,et al.  Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.

[109]  J. Maxwell.  Using Numbers in Qualitative Research , 2010 .

[110]  Lichao Cao,et al.  Improved particle swarm optimization algorithm and its application in text feature selection , 2015, Appl. Soft Comput..

[111]  Tuomas Eerola,et al.  Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[112]  Zafer Cömert,et al.  Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks , 2020 .

[113]  M. Anisha,et al.  Techniques Tanimoto correlated feature selection system and hybridization of clustering and boosting ensemble classification of remote sensed big data for weather forecasting , 2020, Comput. Commun..

[114]  Liangxiao Jiang,et al.  Modified DFS-based term weighting scheme for text classification , 2021, Expert Syst. Appl..

[115]  Yishi Zhang,et al.  Divergence-based feature selection for separate classes , 2013, Neurocomputing.

[116]  Vincent Lepetit,et al.  BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.

[117]  Jinpeng Zhang,et al.  An Analysis of CNN Feature Extractor Based on KL Divergence , 2018, Int. J. Image Graph..

[118]  Yudong Zhang,et al.  Binary PSO with mutation operator for feature selection using decision tree applied to spam detection , 2014, Knowl. Based Syst..

[119]  Ben Niu,et al.  Bacterial-inspired feature selection algorithm and its application in fault diagnosis of complex structures , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

[120]  Mustafa Karabulut,et al.  Fuzzy unordered rule induction algorithm in text categorization on top of geometric particle swarm optimization term selection , 2013, Knowl. Based Syst..

[121]  Mangal Sain,et al.  Prediction of Quality for Different Type of Wine based on Different Feature Sets Using Supervised Machine Learning Techniques , 2019, 2019 21st International Conference on Advanced Communication Technology (ICACT).

[122]  Fei Cheng,et al.  Facial Expression Recognition in JAFFE Dataset Based on Gaussian Process Classification , 2010, IEEE Transactions on Neural Networks.

[123]  Xin Yao,et al.  A Survey on Evolutionary Computation Approaches to Feature Selection , 2016, IEEE Transactions on Evolutionary Computation.

[124]  Tanveer J. Siddiqui,et al.  Multi-document summarization using sentence clustering , 2012, 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI).

[125]  Hasan Demirel,et al.  Feature selection for improved 3D facial expression recognition , 2014, Pattern Recognit. Lett..

[126]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[127]  Max Q.-H. Meng,et al.  Tumor Recognition in Wireless Capsule Endoscopy Images Using Textural Features and SVM-Based Feature Selection , 2012, IEEE Transactions on Information Technology in Biomedicine.

[128]  Alessandra Russo,et al.  Multistyle classification of speech under stress using feature subset selection based on genetic algorithms , 2007, Speech Commun..

[129]  Ivan Smetannikov,et al.  Feature Selection Algorithms as One of the Python Data Analytical Tools , 2020, Future Internet.

[130]  Deqing Wang,et al.  t-Test feature selection approach based on term frequency for text categorization , 2014, Pattern Recognit. Lett..

[131]  Ben Niu,et al.  Feature selection for classification of microarray gene expression cancers using Bacterial Colony Optimization with multi-dimensional population , 2019, Swarm Evol. Comput..

[132]  M. Punniyamoorthy,et al.  Scaling feature selection method for enhancing the classification performance of Support Vector Machines in text mining , 2018, Comput. Ind. Eng..

[133]  Dragomir R. Radev,et al.  LexRank: Graph-based Lexical Centrality as Salience in Text Summarization , 2004, J. Artif. Intell. Res..

[134]  James Ze Wang,et al.  Classification of textured and non-textured images using region segmentation , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[135]  Ahmed A. Rafea,et al.  Automatic text summarization: A comprehensive survey , 2021, Expert Syst. Appl..

[136]  Yang Yu,et al.  Automatic image annotation using group sparsity , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[137]  Seyedali Mirjalili,et al.  Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification , 2020, IEEE Access.

[138]  Gabriele Steidl,et al.  Combined SVM-Based Feature Selection and Classification , 2005, Machine Learning.

[139]  Jacob Scharcanski,et al.  Feature selection for face recognition based on multi-objective evolutionary wrappers , 2013, Expert Syst. Appl..

[140]  Adrian Barbu,et al.  Are screening methods useful in feature selection? An empirical study , 2018, PloS one.

[141]  Ketan Kotecha,et al.  Expert Systems With Applications , 2022 .

[142]  Sai Prasad Potharaju,et al.  Distributed feature selection (DFS) strategy for microarray gene expression data to improve the classification performance , 2018, Clinical Epidemiology and Global Health.

[143]  Zhenwu Wang,et al.  Partial Classifier Chains with Feature Selection by Exploiting Label Correlation in Multi-Label Classification , 2020, Entropy.