A survey on feature selection methods

Cited by (1,004)

Items 201–300 of 1,004

1. Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data
   Mickaël Leclercq, Benjamin Vittrant, Marie‐Laure Martin‐Magniette, Marie‐Pier Scott‐Boyer, Olivier Périn, Alain Bergeron, Yves Fradet, Arnaud Droit · 2019 · Frontiers in Genetics
2. A survey on intrusion detection and prevention systems in digital substations
   Silvio E. Quincozes, Célio V. N. Albuquerque, Diego Gimenez Passos, Daniel Mossé · 2020 · Computer Networks
3. Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models
   Marcus W. H. Wang, Jonathan M. Goodman, Timothy E. H. Allen · 2020 · Chemical Research in Toxicology
4. A novel multi-objective forest optimization algorithm for wrapper feature selection
   Babak Nouri-Moghaddam, Mehdi Ghazanfari, Mohammad Fathian · 2021 · Expert Systems with Applications
5. Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach
   Adel Got, Abdelouahab Moussaouı, Djaafar Zouache · 2021 · Expert Systems with Applications
6. Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection
   Omneya Attallah · 2023 · Horticulturae
7. Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning
   Hadeel M. Saleh, Hend Marouane, Ahmed Fakhfakh · 2024 · IEEE Access
8. Classifier and feature set ensembles for web page classification
   Aytuğ Onan · 2015 · Journal of Information Science
9. Network intrusion detection system based on recursive feature addition and bigram technique
   Tarfa Yaseen Hamed, Rozita A. Dara, Stefan C. Kremer · 2017 · Computers & Security
10. A novel graph-based framework for state of health prediction of lithium-ion battery
    Xingyan Yao, Guolin Chen, MICHAEL G. PECHT, Bin Chen · 2022 · Journal of Energy Storage
11. An Evaluation of the Human-Interpretability of Explanation
    Lage, Isaac, Chen, Emily, He, Jeffrey, Narayanan, Menaka, Kim, Been, Gershman, Sam, Doshi-Velez, Finale · 2019 · arXiv
12. Distributed denial of service attack prediction: Challenges, open issues and opportunities
    Anderson Bergamini de Neira, Burak Kantarcı, Michele Nogueira · 2023 · Computer Networks
13. Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP
    Md. Johir Raihan, Md. Al-Masrur Khan, Seong‐Hoon Kee, Abdullah-Al Nahid · 2023 · Scientific Reports
14. Multi‐objective‐based feature selection for DDoS attack detection in IoT networks
    Monika Roopak, Gui Yun Tian, Jonathon A. Chambers · 2020 · IET Networks
15. Binary Whale Optimization Algorithm for Dimensionality Reduction
    Abdelazim G. Hussien, Diego A. Oliva, Essam Halim Houssein, Angel Alejandro Juan, Xu Yu · 2020 · Mathematics
16. Genetic programming for multiple-feature construction on high-dimensional classification
    Binh Tran, Bing Xue, Mengjie Zhang · 2019 · Pattern Recognition
17. A Novel Blockchain-Based Integrity and Reliable Veterinary Clinic Information Management System Using Predictive Analytics for Provisioning of Quality Health Services
    Naeem Iqbal, Faisal Jamil, Shabir Ahmad, Do‐Hyeun Kim · 2021 · IEEE Access
18. Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review
    Hongbin Sun, Pradeep Ramuhalli, Richard E. Jacob · 2022 · Ultrasonics
19. Gene selection for microarray data classification via multi-objective graph theoretic-based method
    Mehrdad Rostami, Saman Forouzandeh, Kamal Berahmand, Mina Soltani, Meisam Shahsavari, Mourad Oussalah · 2021 · Artificial Intelligence in Medicine
20. Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection
    Saikat Das, Sajal Saha, Annita Tahsin Priyoti, Etee Kawna Roy, Frederick T. Sheldon, Anwar Haque, Sajjan G. Shiva · 2021 · IEEE Transactions on Network and Service Management
21. A Machine Learning Method for Classification of Cervical Cancer
    Jesse Jeremiah Tanimu, Mohamed Hamada, Mohammed Hassan, Habeebah Adamu Kakudi, Oladunjoye John Abiodun · 2022 · Electronics
22. Wrapper Feature Subset Selection for Dimension Reduction Based on Ensemble Learning Algorithm
    Rattanawadee Panthong, Anongnart Srivihok · 2015 · Procedia Computer Science
23. Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection
    Sadegh Arefnezhad, Sajjad Samiee, Arno Eichberger, Ali Nahvi · 2019 · Sensors
24. Opposition-based moth-flame optimization improved by differential evolution for feature selection
    Mohamed Abd Elaziz, Ahmed A. Ewees, Rehab Ali Ibrahim, Songfeng Lu · 2019 · Mathematics and Computers in Simulation
25. Line-line fault detection and classification for photovoltaic systems using ensemble learning model based on I-V characteristics
    Aref Eskandari, Jafar Milimonfared, Mohammadreza Aghaei · 2020 · Solar Energy
26. Binary Horse herd optimization algorithm with crossover operators for feature selection
    Mohammed A. Awadallah, Abdelaziz I. Hammouri, Mohammed Azmi Al‐Betar, Malik Shehadeh Braik, Mohamed Abd Elaziz · 2021 · Computers in Biology and Medicine
27. Using contextual features and multi-view ensemble learning in product defect identification from online discussion forums
    Yao Liu, Cuiqing Jiang, Huimin Zhao · 2017 · Decision Support Systems
28. Review of Deep Learning Approaches for Thyroid Cancer Diagnosis
    Shokofeh Anari, Nazanin Tataei Sarshar, Negin Mahjoori, Shadi Dorosti, Amirali Rezaie · 2022 · Mathematical Problems in Engineering
29. Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data
    Barbara Pes, Nicoletta Dessì, Marta Angioni · 2016 · Information Fusion
30. Swarming behaviour of salps algorithm for predicting chemical compound activities
    Abdelazim G. Hussien, Aboul Ella Hassanien, Essam Halim Houssein · 2017 · International Conference on Intelligent Computing and Information Systems (ICICIS)
31. Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis
    Prableen Kaur, Manik Sharma · 2019 · Journal of Medical Systems
32. A Steering-Matrix-Based Multiobjective Evolutionary Algorithm for High-Dimensional Feature Selection
    Fan Cheng, Feixiang Chu, Yi Xin Xu, Lei Zhang · 2021 · IEEE Transactions on Cybernetics
33. Real-time prediction model for indoor temperature in a commercial building
    Zakia Afroz, Tania Urmee, GM Shafiullah, Gary Higgins · 2018 · Applied Energy
34. Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics
    Aydın Demircioğlu · 2021 · Insights into Imaging
35. A Survey on Data-driven Software Vulnerability Assessment and Prioritization
    Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar · 2022 · ACM Computing Surveys
36. A hybrid ensemble-filter wrapper feature selection approach for medical data classification
    Namrata Singh, Pradeep Singh · 2021 · Chemometrics and Intelligent Laboratory Systems
37. Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis
    Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu · 2017 · IEEE Transactions on Evolutionary Computation
38. A ranking-based feature selection approach for handwritten character recognition
    Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca · 2018 · Pattern Recognition Letters
39. Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features
    Soe, Yan Naung, Feng, Yaokai, Santosa, Paulus Insap, Hartanto, Rudy, Sakurai, Kouichi · 2020 · Electronics
40. Designing a feature selection method based on explainable artificial intelligence
    Zacharias, Jan, von Zahn, Moritz, Chen, Johannes, Hinz, Oliver · 2022 · Electronic Markets
41. Fidelity assessment of general circulation model simulated precipitation and temperature over Pakistan using a feature selection method
    Kamal Ahmed, Shamsuddin Shahid, Dhanapala Arachchige Sachindra, Nadeem Nawaz, ‪Eun‐Sung Chung · 2019 · Journal of Hydrology
42. Hybrid intelligent phishing website prediction using deep neural networks with genetic algorithm‐based feature selection and weighting
    Waleed Ali, Adel Ali Ahmed · 2019 · IET Information Security
43. Utilizing Student Time Series Behaviour in Learning Management Systems for Early Prediction of Course Performance
    Fu Chen, Ying De Cui · 2020 · Journal of Learning Analytics
44. A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images
    Hamid Nasiri, Seyyed Ali Alavi · 2022 · Computational Intelligence and Neuroscience
45. Machine learning-based adaptive model identification of systems: Application to a chemical process
    Bhavana Bhadriraju, Abhinav Narasingam, Joseph Sang‐Il Kwon · 2019 · Process Safety and Environmental Protection
46. A predictive model for phishing detection
    Abdul Abiodun Orunsolu, Adesina S. Sodiya, Adio Taofiki Akinwale · 2019 · Journal of King Saud University - Computer and Information Sciences
47. Soil moisture forecast for smart irrigation: The primetime for machine learning
    Rodrigo Marotti Togneri, Diego Felipe dos Santos, Gláuber Camponogara, Hitoshi Nagano, Gilliard Custódio, Ronaldo Cristiano Prati, Stênio Fernandes, Carlos Kamienski · 2022 · Expert Systems with Applications
48. Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market
    Hossam Faris, Ruba Abu Khurma, Waref Almanaseer, Mohammed Saadeh, Antonio Miguel Mora, Pedro Ángel Castillo, Ibrahim Aljarah · 2019 · Progress in Artificial Intelligence
49. Machine Learning in Internet Search Query Selection for Tourism Forecasting
    Xin Li, Hengyun Li, Bing Pan, Rob Law · 2020 · Journal of Travel Research
50. A dynamic locality multi-objective salp swarm algorithm for feature selection
    Ibrahim Aljarah, Maria Habib, Hossam Faris, Nailah Al–Madi, Ali Asghar Heidari, Majdi M. Mafarja, Mohamed Abd Elaziz, Seyedali Mirjalili · 2020 · Computers & Industrial Engineering
51. A self-adaptive weighted differential evolution approach for large-scale feature selection
    Xubin Wang, Yunhe Wang, Ka‐Chun Wong, Xiangtao Li · 2021 · Knowledge-Based Systems
52. A graph theoretic approach for unsupervised feature selection
    Parham Moradi, Mehrdad Rostami · 2015 · Engineering Applications of Artificial Intelligence
53. Predictive modelling and optimization of HVAC systems using neural network and particle swarm optimization algorithm
    Zakia Afroz, GM Shafiullah, Tania Urmee, Md Asaduzzaman Shoeb, Gary Higgins · 2021 · Building and Environment
54. A review of ultrasonic sensing and machine learning methods to monitor industrial processes
    Alexander Lewis Bowler, Michael P. Pound, Nicholas James Watson · 2022 · Ultrasonics
55. Efficient discovery of approximate dependencies
    Sebastian Kruse, Felix Naumann · 2018 · Proceedings of the VLDB Endowment
56. Improved Binary Sailfish Optimizer Based on Adaptive β -Hill Climbing for Feature Selection
    Kushal Kanti Ghosh, Shameem Ahmed, Pawan Kumar Singh, Zong Woo Geem, Ram Sarkar · 2020 · IEEE Access
57. Machine learning in crop yield modelling: A powerful tool, but no surrogate for science
    Gunnar Lischeid, Heidi A. Webber, Michael Sommer, Claas Nendel, Frank A. Ewert · 2021 · Agricultural and Forest Meteorology
58. Land-surface parameters for spatial predictive mapping and modeling
    Maxwell, Aaron E., Shobe, Charles M. · 2022 · Earth-Science Reviews
59. Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression
    Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming · 2018 · IEEE Transactions on Knowledge and Data Engineering
60. A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
    Fateme Moslehi, Abdorrahman Haeri · 2019 · Journal of Ambient Intelligence and Humanized Computing
61. Applying machine learning to identify autistic adults using imitation: An exploratory study
    Baihua Li, Arjun Sharma, James Meng, Senthil Purushwalkam, Emma Gowen · 2017 · PLoS ONE
62. Data‐driven modelling methods in sintering process: Current research status and perspectives
    Yan Feng, Xinmin Zhang, Chunjie Yang, Bing Hu, Weidong Qian, Zhihuan Song · 2022 · The Canadian Journal of Chemical Engineering
63. A proposed framework for crop yield prediction using hybrid feature selection approach and optimized machine learning
    Mahmoud Abdel-Salam, Neeraj Kumar, Shubham Mahajan · 2024 · Neural Computing and Applications
64. Firefly Optimization Algorithm for Feature Selection
    E. Emary, Hossam M. Zawbaa, Kareem Kamal A. Ghany, Aboul Ella Hassanien, Bazil Pârv · 2015 · Balkan Conference in Informatics
65. Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
    Fannia Pacheco, Mariela Cerrada, René–Vinicio Sánchez, Diego R. Cabrera, Chuan Li, José Valente de Oliveira · 2016 · Expert Systems with Applications
66. A novel binary gaining–sharing knowledge-based optimization algorithm for feature selection
    Prachi Agrawal, Talari Ganesh, Ali Wagdy Mohamed · 2020 · Neural Computing and Applications
67. Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models
    Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmad, Muhammad Tahir, Muhammad Shafi · 2023 · Information
68. A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines
    Khanh T.P. Nguyen, Kamal Medjaher, Thanh-Do Tran · 2022 · Artificial Intelligence Review
69. The power of Deep Learning techniques for predicting student performance in Virtual Learning Environments: A systematic literature review
    Bayan Alnasyan, Mohammed Basheri, Madini Obad Alassafi · 2024 · Computers and Education Artificial Intelligence
70. New hybrid method for attack detection using combination of evolutionary algorithms, SVM, and ANN
    Soodeh Hosseini, Behnam Mohammad Hasani Zade · 2020 · Computer Networks
71. An hybrid particle swarm optimization with crow search algorithm for feature selection
    Abdulhameed Adamu, Mohammed Abdullahi, Sahalu Balarabe Junaidu, Ibrahim Hayatu Hassan · 2021 · Machine Learning with Applications
72. An efficient Pareto-based feature selection algorithm for multi-label classification
    Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour · 2021 · Information Sciences
73. Comprehensive Chemometrics
    Shuxia Guo, Oleg Ryabchykov, Nairveen Ali, Rola Houhou, Thomas Wilhelm Bocklitz · 2020 · Elsevier eBooks
74. Feature selection and feature learning in machine learning applications for gas turbines: A review
    Jiarui Xie, Manuel Sage, Yaoyao Fiona Zhao · 2022 · Engineering Applications of Artificial Intelligence
75. Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment
    Vepa Atamuradov, Kamal Medjaher, Fatih Camci, Pierre Dersin, Noureddine Zerhouni A · 2018 · IEEE Transactions on Instrumentation and Measurement
76. Feature Selection via Mutual Information: New Theoretical Insights
    Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli · 2019 · Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
77. SLGBM: An Intrusion Detection Mechanism for Wireless Sensor Networks in Smart Environments
    Shuai Jiang, Juan Zhao, Xiaolong Xu · 2020 · IEEE Access
78. A modified feature selection method based on metaheuristic algorithms for speech emotion recognition
    Serdar Yıldırım, Yasin Kaya, Fatih Kılıç · 2020 · Applied Acoustics
79. A comprehensive review: Fault detection, diagnostics, prognostics, and fault modeling in HVAC systems
    Vijay Singh, Jyotirmay Mathur, Aviruch Bhatia · 2022 · International Journal of Refrigeration
80. Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods
    Jianbin Li, Zuyu Chen, Xu Li, Liujie Jing, Yunpei Zhang, Haohan Xiao, Shuangjing Wang, Wenkun Yang, Lei-jie Wu, Pengyu Li et al. · 2023 · Underground Space
81. Sequence-based predictive modeling to identify cancerlectins
    Lai, Hong-Yan, Chen, Xin-Xin, Chen, Wei, Tang, Hua, Lin, Hao · 2017 · Oncotarget
82. A robust method for early diagnosis of autism spectrum disorder from EEG signals based on feature selection and DBSCAN method
    Donya Abdolzadegan, Mohammad Hossein Moattar, Majid Ghoshuni · 2020 · Journal of Applied Biomedicine
83. Hybridizing genetic algorithm and grey wolf optimizer to advance an intelligent and lightweight intrusion detection system for IoT wireless networks
    Azam Davahli, Mahboubeh Shamsi, Golnoush Abaei · 2020 · Journal of Ambient Intelligence and Humanized Computing
84. Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection
    S. Sreejith, H. Khanna Nehemiah, A. Kannan · 2020 · Computers in Biology and Medicine
85. Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier
    Hao Fei, Zehua Fan, Chengkun Wang, Nannan Zhang, Tao Wang, Rengu Chen, Tiecheng Bai · 2022 · Remote Sensing
86. Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt
    Heba Mamdouh Farghaly, Mahmoud Y. Shams, Tarek Abd El‐Hafeez · 2023 · Knowledge and Information Systems
87. A Data Driven Cycle Time Prediction With Feature Selection in a Semiconductor Wafer Fabrication System
    Junliang Wang, Jie Zhang, Xiaoxi Wang · 2018 · IEEE Transactions on Semiconductor Manufacturing
88. Intelligent decisions to stop or mitigate lost circulation based on machine learning
    Ahmed K. Abbas, Ali A. Bashikh, Hayder Hassan Abbas, Haider Q. Mohammed · 2019 · Energy
89. Correlated Differential Privacy: Feature Selection in Machine Learning
    Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou · 2019 · IEEE Transactions on Industrial Informatics
90. Improving the Performance of Machine Learning‐Based Network Intrusion Detection Systems on the UNSW‐NB15 Dataset
    Soulaiman Moualla, Khaldoun I. Khorzom, Assef Jafar · 2021 · Computational Intelligence and Neuroscience
91. Multiobjective Differential Evolution for Feature Selection in Classification
    Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang · 2021 · IEEE Transactions on Cybernetics
92. A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
    Gang Yao, Xiaojian Hu, Guanxiong Wang · 2022 · Expert Systems with Applications
93. Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection
    Farid Saberi-Movahed, Mehrdad Rostami, Kamal Berahmand, Saeed Karami, Prayag Tiwari, Mourad Oussalah, Shahab S. Band · 2022 · Knowledge-Based Systems
94. Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
    Eduarda Martiniano de Oliveira Silveira, Volker Christian Radeloff, Sebastián Martinuzzi, Guillermo José Martínez Pastur, Julieta Bono, Natalia Politi, Leónidas Lizárraga, Luis Rivera, Lucía Ciuffoli, Yamina Micaela Rosas et al. · 2022 · Remote Sensing of Environment
95. Image biomarkers and explainable AI: handcrafted features versus deep learned features
    Leonardo Rundo, Carmelo Militello · 2024 · European Radiology Experimental
96. Radiomics and radiogenomics for precision radiotherapy
    Jia Wu, Khin Khin Tha, Lei Xing, Ruijiang Li · 2018 · Journal of Radiation Research
97. A novel filter feature selection method using rough set for short text data
    Rasim Çekіk, Alper Kürşat Uysal · 2020 · Expert Systems with Applications
98. Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches
    Md. Mahmudul Hasan, Christopher N. Watling, Grégoire S. Larue · 2021 · Journal of Safety Research
99. Hydrogen production optimization from sewage sludge supercritical gasification process using machine learning methods integrated with genetic algorithm
    Zeeshan Ul Haq, Hafeez Ullah, Muhammad Nouman Aslam Khan, Salman Raza Naqvi, Muhammad Ahsan · 2022 · Process Safety and Environmental Protection
100. Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction
     Mei Yang, Ming Kim Lim, Yingchi Qu, Xingzhi Li, Du Ni · 2022 · Expert Systems with Applications