A survey on feature selection methods

Cited by (1,004)

Items 401–500 of 1,004

1. Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems
   Thaer Thaher, Hamouda Chantar, Jingwei Too, Majdi M. Mafarja, Hamza Turabieh, Essam Halim Houssein · 2022 · Expert Systems with Applications
2. Binary Grey Wolf Optimizer with Mutation and Adaptive K-nearest Neighbour for Feature Selection in Parkinson’s Disease Diagnosis
   R. R. Rajalaxmi, Seyedali Mirjalili, Gothai Ekambaram, Natesan Palanisamy · 2022 · Knowledge-Based Systems
3. A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
   Jafar Abdollahi, Babak Nouri-Moghaddam · 2022 · Iran Journal of Computer Science
4. Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks
   Kexuan Li, Fangfang Wang, Lingli Yang, Ruiqi Liu · 2023 · Neurocomputing
5. Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia
   Dante Trabassi, Stefano Filippo Castiglia, Fabiano Bini, Franco Marinozzi, Arash Ajoudani, Marta Lorenzini, Giorgia Chini, Tiwana Varrecchia, Alberto Ranavolo, Roberto De Icco et al. · 2024 · Sensors
6. Adaptive Prediction Models for Data Center Resources Utilization Estimation
   Shuja-ur-Rehman Baig, Waheed Iqbal, Josep Ll. Berral, Abdelkarim Erradi, David Carrera · 2019 · IEEE Transactions on Network and Service Management
7. RETRACTED ARTICLE: Best features based intrusion detection system by RBM model for detecting DDoS in cloud environment
   M. Mayuranathan, Mahalingam Murugan, V. Dhanakoti · 2019 · Journal of Ambient Intelligence and Humanized Computing · Retracted
8. Developing an Efficient Method for Automatic Threshold Detection Based on Hybrid Feature Selection Approach
   Heba Mamdouh Farghaly, Abdelmgeid Amin Ali, Tarek Abd El‐Hafeez · 2020 · Advances in intelligent systems and computing
9. A Novel Wrapper Approach for Feature Selection in Object-Based Image Classification Using Polygon-Based Cross-Validation
   Lei Ma, Manchun Li, Yu Gao, Tan Chen, Xiaoxue Ma, Le’an Qu · 2017 · IEEE Geoscience and Remote Sensing Letters
10. Research on social data by means of cluster analysis
    Camila Maione, Donald Robert Nelson, Rommel Barbosa · 2018 · Applied Computing and Informatics
11. Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study
    Negin Manshouri · 2021 · Cognitive Neurodynamics
12. Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning
    Miriam Piles, Rob Bergsma, Daniel Gianola B, Hélène Gilbert, Llibertat Tusell · 2021 · Frontiers in Genetics
13. An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
    Mohammed A. Awadallah, Mohammed Azmi Al‐Betar, Malik Shehadeh Braik, Abdelaziz I. Hammouri, Iyad Abu Doush, Raed Abu Zitar · 2022 · Computers in Biology and Medicine
14. Improved Machine Learning Models by Data Processing for Predicting Life-Cycle Environmental Impacts of Chemicals
    Ye Sun, Xiuheng Wang, Nanqi Ren, Yanbiao Liu, Shijie You · 2022 · Environmental Science & Technology
15. A survey on pre-processing techniques: Relevant issues in the context of environmental data mining
    Karina Gibert, Miquel Sànchez–Marrè, Joaquín Izquierdo · 2016 · AI Communications
16. Alternative techniques for forecasting mineral commodity prices
    Carlos A. Tapia Cortez, Serkan Saydam, Jeff Coulton, Claude Sammut · 2017 · International Journal of Mining Science and Technology
17. A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study
    Anna Stief, Ruomu Tan, Yi Cao, James R. Ottewill, Nina F. Thornhill, Jerzy Baranowski · 2019 · Journal of Process Control
18. Heuristic filter feature selection methods for medical datasets
    Mehdi Alirezanejad, Rasul Enayatifar, Homayun Motameni, Hossein Nematzadeh · 2019 · Genomics
19. An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection
    Mohamed Abdel‐Basset, Reda Mohamed, Ripon Kumar Chakrabortty, Michael J. Ryan, Seyedali Mirjalili · 2021 · Computers & Industrial Engineering
20. AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection
    Shameem Ahmed, Kushal Kanti Ghosh, Seyedali Mirjalili, Ram Sarkar · 2021 · Knowledge-Based Systems
21. Object-Based Wetland Vegetation Classification Using Multi-Feature Selection of Unoccupied Aerial Vehicle RGB Imagery
    Rui Zhou, Chao Yang, Enhua Li, Xiaobin Cai, Jiao Yang, Ying Xia · 2021 · Remote Sensing
22. A survey on neural networks for (cyber-) security and (cyber-) security of neural networks
    Marek Pawlicki, Rafał Kozik, Michał Choraś · 2022 · Neurocomputing
23. Bio-Inspired Feature Selection Algorithms With Their Applications: A Systematic Literature Review
    Tin H. Pham, Bijan Raahemi · 2023 · IEEE Access
24. Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors
    Xiang Yi Huang, Shengluo Ma, Changying Zhao, Hong Wang, Shenghong Ju · 2023 · npj Computational Materials
25. Sentiment Analysis over Social Networks: An Overview
    Ahmed Khaled, Neamat El-Tazi, Ahmad Hany Hossny · 2015 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
26. Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction
    Beatriz López, Ferran Torrent‐Fontbona, Ramón Viñas, José Manuel Fernández‐Real · 2017 · Artificial Intelligence in Medicine
27. Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey
    Huda Goian, Omar Y. Al-Jarrah, Sami Muhaidat, Yousof Al-Hammadi, Paul D. Yoo, Mehrdad Dianati · 2019 · IEEE Access
28. Relevance Feature Discovery for Text Mining
    Yuefeng Li, Abdulmohsen Algarni, Mubarak Albathan, Yan Shen, Moch Arif Bijaksana · 2014 · IEEE Transactions on Knowledge and Data Engineering
29. Running patterns for male and female competitive and recreational runners based on accelerometer data
    Christian A. Clermont, Lauren C. Benson, Sean T. Osis, Dylan Kobsar, Reed Ferber · 2018 · Journal of Sports Sciences
30. Deep Feature Extraction From the Vocal Vectors Using Sparse Autoencoders for Parkinson’s Classification
    Yanhao Xiong, Yaohua Lu · 2020 · IEEE Access
31. Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm
    Hong S. He, Yonghong Tan, Ying Jun, Wuxiong Zhang · 2020 · Applied Soft Computing
32. A Fuzzy Logic based feature engineering approach for Botnet detection using ANN
    Chirag Joshi, Ranjeet Kumar Ranjan, Vishal Bharti · 2021 · Journal of King Saud University - Computer and Information Sciences
33. Remote sensing-based biomass estimation of dry deciduous tropical forest using machine learning and ensemble analysis
    Chandrakant Singh, Shivesh Kishore Karan, Purnendu Sardar, Sukha Ranjan Samadder · 2022 · Journal of Environmental Management
34. Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset
    Syed Ali Nawaz, Dost Muhammad Khan, Salman Qadri · 2022 · Applied Artificial Intelligence
35. A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations
    Sambandh Bhusan Dhal, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis · 2022 · Sensors
36. A new intrusion detection system based on Moth–Flame Optimizer algorithm
    Moutaz Alazab, Ruba Abu Khurma, Albara W. Awajan, David Camacho · 2022 · Expert Systems with Applications
37. Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction
    Kinjal Chaudhari, Ankit Thakkar · 2023 · Expert Systems with Applications
38. A Review on Feature Selection Methods For Classification Tasks
    Mary Walowe Mwadulo · 2016 · International Journal of Computer Applications Technology and Research
39. A GAN and Feature Selection-Based Oversampling Technique for Intrusion Detection
    Xiaodong Liu, Tong Li, Runzi Zhang, Di Wu, Yongheng Liu, Zhen Yang · 2021 · Security and Communication Networks
40. Improving performance with hybrid feature selection and ensemble machine learning techniques for code smell detection
    Shivani Jain, Anju Saha · 2021 · Science of Computer Programming
41. RETRACTED ARTICLE: Feature selection techniques in the context of big data: taxonomy and analysis
    Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif · 2022 · Applied Intelligence · Retracted
42. Demand forecasting based machine learning algorithms on customer information: an applied approach
    Maryam Zohdi, Majid Rafiee, Vahid Kayvanfar, Amirhossein Salamirad · 2022 · International Journal of Information Technology
43. MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
    Ramin Ranjbarzadeh, Nazanin Tataei Sarshar, Saeid Jafarzadeh Ghoushchi, Mohammad Saleh Esfahani, Mahboub Parhizkar, Yaghoub Pourasad, Shokofeh Anari, Malika Bendechache · 2022 · Annals of Operations Research
44. Review of feature selection approaches based on grouping of features
    Cihan Kuzudisli, Burcu Bakır-Güngör, Nurten Bulut, Bahjat F. Qaqish, Malik Yousef · 2023 · PeerJ
45. Virtual metrology in semiconductor manufacturing: Current status and future prospects
    Varad Maitra, Yutai Su, Jing Shi · 2024 · Expert Systems with Applications
46. Frequency based feature selection method using whale algorithm
    Hossein Nematzadeh, Rasul Enayatifar, Maqsood Mahmud, Ebrahim Akbari · 2019 · Genomics
47. Feature Analysis for Machine Learning-based IoT Intrusion Detection
    Mohanad Sarhan, Siamak Layeghy, Marius Portmann · 2022 · Research Square
48. Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms
    Seyed Omid Nabavi, Leopold Haimberger, Esmail Abbasi · 2018 · Atmospheric Pollution Research
49. Students Performance Prediction in Online Courses Using Machine Learning Algorithms
    Raghad Al-Shabandar, Abir Jaffar Hussain, Robert Keight, Wasiq Khan · 2020 · International Joint Conference on Neural Networks (IJCNN)
50. An optimized case-based software project effort estimation using genetic algorithm
    Shaima Hameed, Yousef Elsheikh, Mohammad Azzeh · 2022 · Information and Software Technology
51. A Survey on Feature Selection Techniques for Internet Traffic Classification
    Yogesh Dhote, Shikha Agrawal, Anjana Jayant Deen · 2015 · International Conference on Computational Intelligence and Communication Networks (CICN)
52. Churn prediction of mobile and online casual games using play log data
    Seungwook Kim, Daeyoung Choi, Eunjung Lee, Wonjong Rhee · 2017 · PLoS ONE
53. Data-driven fault diagnosis of satellite power system using fuzzy Bayes risk and SVM
    Mingliang Suo, Baolong Zhu, Ruoming An, Huimin Sun, Shengzhong Xu, Zhenhua Yu · 2018 · Aerospace Science and Technology
54. No-Reference Video Quality Estimation Based on Machine Learning for Passive Gaming Video Streaming Applications
    Barman, Nabajeet, Jammeh, Emmanuel, Ghorashi, Seyed Ali, Martini, Maria G. · 2019 · IEEE Access
55. Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms
    Joana Leong Chong, Petra Tjurin, Maisa Niemelä, Timo J. Jämsä, Vahid Farrahi · 2021 · Gait & Posture
56. A comprehensive survey on DDoS defense systems: New trends and challenges
    Qing Li, He Huang, Ruoyu Li, Jianhui Lv, Zhenhui Yuan, Lianbo Ma, Yi Han, Yong Jiang · 2023 · Computer Networks
57. Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction
    Alain Hennebelle, Leila Ismail, Huned Materwala, Juma Al Kaabi, Priya Ranjan, Rajiv Janardhanan · 2023 · Computational and Structural Biotechnology Journal
58. Determining relevant biomarkers for prediction of breast cancer using anthropometric and clinical features: A comparative investigation in machine learning paradigm
    Bikesh Kumar Singh · 2019 · Journal of Applied Biomedicine
59. A hybrid mine blast algorithm for feature selection problems
    Mohammed Alweshah, Saleh Alkhalaileh, Dheeb Albashish, Majdi M. Mafarja, Qusay Bsoul, Osama M. Dorgham · 2020 · Soft Computing
60. Automated Feature Selection: A Reinforcement Learning Perspective
    Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charų C. Aggarwal, Hui Xiong · 2021 · IEEE Transactions on Knowledge and Data Engineering
61. Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review
    Sebastião Rogério da Silva Neto, Thomás Tabosa de Oliveira, Igor Vitor Teixeira, Samuel Benjamin Aguiar de Oliveira, Vanderson de Souza Sampaio, Theo Lynn, Patrícia Takako Endo · 2022 · PLoS neglected tropical diseases
62. Flexible cylinder flow-induced vibration
    Leixin Ma, Ke Lin, Dixia Fan, Jiasong Wang, Michael S. Triantafyllou · 2022 · Physics of Fluids
63. Efficient Intrusion Detection System in the Cloud Using Fusion Feature Selection Approaches and an Ensemble Classifier
    Mhamad Bakro, Rakesh Ranjan Kumar, Amerah A. Alabrah, Zubair Ashraf, Sukant Kishoro Bisoy, Nikhat Parveen, Souheil Khawatmi, Ahmed Abdelsalam · 2023 · Electronics
64. Feature selection method based on hybrid data transformation and binary binomial cuckoo search
    Avinash Chandra Pandey, Dharmveer Singh Rajpoot, Mukesh Saraswat · 2019 · Journal of Ambient Intelligence and Humanized Computing
65. Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop–Livestock System Using Textural Information from PlanetScope Imagery
    Aliny Aparecida dos Reis, J. P. S. Werner, Bruna Corrêa-Silva, Gleyce Kelly Dantas Araújo Figueiredo, J. F. G. Antunes, Júlio César, A. C. Coutinho, Rubens Augusto Camargo Lamparelli, Jansle Vieira Rocha, Paulo Sérgio Graziano Magalhães · 2020 · Remote Sensing
66. Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method
    Somnath Chatterjee, Shreya Biswas, Arindam Majee, Shibaprasad Sen, Diego A. Oliva, Ram Sarkar · 2021 · Computers in Biology and Medicine
67. Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data
    Rabia Musheer Aziz · 2022 · Medical & Biological Engineering & Computing
68. Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets
    Sambandh Bhusan Dhal, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis · 2022 · Artificial Intelligence in Agriculture
69. Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
    Zeyu Wang, Lisha Xia, Hongping Yuan, Ravi Shankar Srinivasan, Xiangnan Song · 2022 · Journal of Building Engineering
70. Separation of pulsar signals from noise using supervised machine learning algorithms
    S. Bethapudi, S. Desai · 2018 · Astronomy and Computing
71. A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines
    Dominik Ślȩzak, Marek Grzegorowski, Andrzej Janusz, Michał Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Łukasz Wróbel · 2018 · Information Sciences
72. Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review
    Osamah Mohammed Alyasiri, Yu–N Cheah, Ammar Kamal Abasi, Omar Mustafa Al-Janabi · 2022 · IEEE Access
73. Network traffic classification using convolutional neural network and ant-lion optimization
    Saadat Izadi, Mahmood Ahmadi, Rojia Nikbazm · 2022 · Computers & Electrical Engineering
74. Evaluating the effectiveness of machine learning techniques in forecasting the severity of traffic accidents
    Izuchukwu Chukwuma Obasi, Chizubem Benson · 2023 · Heliyon
75. Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical infrastructures
    Iqbal Hasan Sarker, Helge Janicke, Mohamed Amine Ferrag, Alsharif Abuadbba · 2024 · Internet of Things
76. A REVIEW OF ECG-BASED DIAGNOSIS SUPPORT SYSTEMS FOR OBSTRUCTIVE SLEEP APNEA
    Oliver Faust, U. Rajendra Acharya, E. Y. K. Ng, Hamido Fujita · 2016 · Journal of Mechanics in Medicine and Biology
77. Minimum redundancy – Maximum relevance with extreme learning machines for global solar radiation forecasting: Toward an optimized dimensionality reduction for solar time series
    Hassen Bouzgou, Christian A. Gueymard · 2017 · Solar Energy
78. A comprehensive overview of feature representation for biometric recognition
    Imad Rida, Noor Almaadeed, Somaya Ali Al-Maadeed, Sambit Bakshi · 2018 · Multimedia Tools and Applications
79. Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning
    Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li · 2019 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
80. A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis
    Sen Liang, Anjun Ma, Sen Yang, Yan Wang, Qin Ma · 2018 · Computational and Structural Biotechnology Journal
81. ARDA
    Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David Ron Karger · 2020 · Proceedings of the VLDB Endowment
82. Enhanced NSGA-II-based feature selection method for high-dimensional classification
    Min Li, Huan Ma, Siyu Lv, Lei Wang, Shaobo Deng · 2024 · Information Sciences
83. An innovative approach for feature selection based on chicken swarm optimization
    Ahmed Ibrahem Hafez, Hossam M. Zawbaa, E. Emary, Hamdi A. Mahmoud, Aboul Ella Hassanien · 2015 · International Conference of Soft Computing and Pattern Recognition (SoCPaR)
84. A survey of the applications of text mining for agriculture
    Brett Drury, Mathieu Roche A · 2019 · Computers and Electronics in Agriculture
85. Multi modal decision fusion for continuous authentication
    Fridman, Lex, Stolerman, Ariel, Acharya, Sayandeep, Brennan, Patrick, Juola, Patrick, Greenstadt, Rachel, Kam, Moshe · 2015 · Computers & Electrical Engineering
86. Personalized prediction of early childhood asthma persistence: A machine learning approach
    Saurav Bose, Chén Collin Kenyon, Aaron J. Masino · 2021 · PLoS ONE
87. A novel sensitivity-based method for feature selection
    Dayakar L. Naik, Ravi Kiran · 2021 · Journal Of Big Data
88. Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis
    Burak Kolukısa, Burcu Bakır-Güngör · 2022 · Computer Standards & Interfaces
89. Elastic net-based high dimensional data selection for regression
    Hasna Chamlal, Asmaa Benzmane, Tayeb Ouaderhman · 2023 · Expert Systems with Applications
90. Land use/land cover (LULC) classification using deep-LSTM for hyperspectral images
    Ganji Tejasree, L. Agilandeeswari · 2024 · The Egyptian Journal of Remote Sensing and Space Science
91. Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques
    Muhammad Bisri Musthafa, Samsul Huda, Yuta Kodera, Md. Arshad Ali, Shunsuke Araki, Jedidah Mwaura, Yasuyuki Nogami · 2024 · Sensors
92. Supervised Feature Selection With a Stratified Feature Weighting Method
    Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu · 2018 · IEEE Access
93. Classification of Recurrence Plots’ Distance Matrices with a Convolutional Neural Network for Activity Recognition
    Enrique Garcia-Ceja, Md. Zia Uddin, Jim Tørresen · 2018 · Procedia Computer Science
94. A Memory-Efficient Encoding Method for Processing Mixed-Type Data on Machine Learning
    Iván López-Arévalo, Edwin Aldana-Bobadilla, Alejandro Molina-Villegas, Hiram Galeana‐Zapién, Víctor Muñiz-Sánchez, Saul Gausin-Valle · 2020 · Entropy
95. Machine learning for molecular thermodynamics
    Jiaqi Ding, Nan Xu, Manh Tien Nguyen, Qi Qiao, Yao Shi, Yi He, Qing Shao · 2021 · Chinese Journal of Chemical Engineering
96. Synergisms of machine learning and constraint‐based modeling of metabolism for analysis and optimization of fermentation parameters
    Mohammad Karim Khaleghi, Iman Shahidi Pour Savizi, Nathan E. Lewis, Seyed Abbas Shojaosadati · 2021 · Biotechnology Journal
97. Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data
    Essam Halim Houssein, Mosa E. Hosney, Waleed M. Mohamed, Abdelmgeid Amin Ali, Eman M. G. Younis · 2022 · Neural Computing and Applications
98. Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data
    Taehoon Ko, Je Hyuk Lee, Hyunchang Cho, Sungzoon Cho, Wounjoo Lee, Miji Lee · 2017 · Industrial Management & Data Systems
99. A New Transformer FRA Measurement Technique to Reach Smart Interpretation for Inter-Disk Faults
    Venera Nurmanova, Mehdi Bagheri, Amin Zollanvari, Kamilla Aliakhmet, Yerbol Akhmetov, Gevork Babamalek Gharehpetian · 2019 · IEEE Transactions on Power Delivery
100. Many-objective optimization of feature selection based on two-level particle cooperation
     Yu Zhou, Junhao Kang, Hainan Guo · 2020 · Information Sciences