A survey on feature selection methods

Cited by (1,004)

Items 101–200 of 1,004

1. Review on Machine Learning Algorithm Based Fault Detection in Induction Motors
   Prashant Kumar, Ananda Shankar Hati · 2020 · Archives of Computational Methods in Engineering
2. A novel hierarchical selective ensemble classifier with bioinformatics application
   Leyi Wei, Shixiang Wan, Jiasheng Guo, Kelvin K. L. Wong · 2017 · Artificial Intelligence in Medicine
3. An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
   Kashif Hussain, Nabil Neggaz, William Zhu, Essam Halim Houssein · 2021 · Expert Systems with Applications
4. A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data
   Sohrab Mokhtari, Alireza Abbaspour, Kang K. Yen, Arman Sargolzaei · 2021 · Electronics
5. Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection
   Jiao Hu, Wenyong Gui, Ali Asghar Heidari, Zhennao Cai, Guoxi Liang, Huiling Chen, Zhifang Pan · 2021 · Knowledge-Based Systems
6. From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
   Jorge Benavides-Hernández, Franck Dumeignil · 2024 · ACS Catalysis
7. Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning
   Yu‐Heng Lai, Weining Chen, Te-Cheng Hsu, Che Lin, Yu Tsao, Semon Wu · 2020 · Scientific Reports
8. Integration of graph clustering with ant colony optimization for feature selection
   Parham Moradi, Mehrdad Rostami · 2015 · Knowledge-Based Systems
9. Categorizing feature selection methods for multi-label classification
   Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann · 2016 · Artificial Intelligence Review
10. S-shaped Binary Whale Optimization Algorithm for Feature Selection
    Abdelazim G. Hussien, Aboul Ella Hassanien, Essam Halim Houssein, Siddhartha Bhattacharyya, Mohammed A. Amin · 2018 · Advances in intelligent systems and computing
11. Intrusion Detection Systems for Intra-Vehicle Networks: A Review
    Omar Y. Al-Jarrah, Carsten R. Maple, Mehrdad Dianati, David Oxtoby, Alex Mouzakitis · 2019 · IEEE Access
12. Machine learning provides novel neurophysiological features that predict performance to inhibit automated responses
    Amirali Vahid, Moritz Mückschel, Andres H. Neuhaus, Ann‐Kathrin Stock, Christian Beste · 2018 · Scientific Reports
13. Evaluating Trust Prediction and Confusion Matrix Measures for Web Services Ranking
    Muhammad Ali Hasnain, Muhammad Fermi Pasha, Imran Ghani, Muhammad Imran, Mohammed Yahya Alzahrani, Rahmat Budiarto · 2020 · IEEE Access
14. Feature selection methods on gene expression microarray data for cancer classification: A systematic review
    Esraa Alhenawi, Rizik M. H. Al-Sayyed, Amjad A. Hudaib, Seyedali Mirjalili · 2021 · Computers in Biology and Medicine
15. Supervised feature selection techniques in network intrusion detection: A critical review
    Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta · 2021 · Engineering Applications of Artificial Intelligence
16. Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models
    Tanya Bloch, Rafael Sacks · 2018 · Automation in Construction
17. Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data
    Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, Svetlana Ostapenko, Lakshmi Srinivasan, Christopher P. Bonafide, Fran Balamuth, Melissa Schmatz, Robert W. Grundmeier · 2019 · PLoS ONE
18. Integration of multi-objective PSO based feature selection and node centrality for medical datasets
    Mehrdad Rostami, Saman Forouzandeh, Kamal Berahmand, Mina Soltani · 2020 · Genomics
19. Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques
    Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova, Jill Slay · 2018 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
20. Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids
    Maheen Zahid, Fahad Ahmed, Nadeem Javaid, Raza Abid Abbasi, Hafiza Syeda Zainab Kazmi, Atia Javaid, Muhammad Bilal, Mariam Akbar, Manzoor Ilahi · 2019 · Electronics
21. Benchmark of filter methods for feature selection in high-dimensional gene expression survival data
    Bommert, Andrea, Welchowski, Thomas, Schmid, Matthias, Rahnenführer, Jörg · 2022 · Briefings in Bioinformatics
22. Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling
    Wei Li, Denis Becker · 2021 · Energy
23. Modified cuckoo search algorithm with rough sets for feature selection
    Mohamed Abd Elaziz, Aboul Ella Hassanien · 2016 · Neural Computing and Applications
24. Quantifying performance of machine learning methods for neuroimaging data
    Lee Jollans, Rory Thomas Boyle, Éric Artiges, Tobias Banaschewski, Sylvane Desrivières, Antoine Grigis, Jean‐Luc Martinot, Tomáš Paus, Michael N. Smolka, Henrik Walter et al. · 2019 · NeuroImage
25. Feature Selection Using Information Gain for Improved Structural-Based Alert Correlation
    Taqwa Ahmed Alhaj, Maheyzah Md Siraj, Anazida Binti Zainal, Huwaida Tagelsir Ibrahim Elshoush, Fatin A. Elhaj · 2016 · PLoS ONE
26. Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study
    Nguyễn Ngọc Thạch, Dang Bao-Toan Ngo, Pham Xuan-Canh, Thi Hong Thuy Nguyen, Bui Hang Thi, Nhat‐Duc Hoang, Dieu Tien Bui · 2018 · Ecological Informatics
27. A comparative study of machine learning methods for bio-oil yield prediction – A genetic algorithm-based features selection
    Zahid Ullah, Muzammil Khan, Salman Raza Naqvi, Wasif Farooq, Haiping Yang, Shurong Wang, Dai‐Viet N. Vo · 2021 · Bioresource Technology
28. A new hybrid approach for intrusion detection using machine learning methods
    Ünal Çavuşoğlu · 2019 · Applied Intelligence
29. Machine Learning into Metaheuristics
    El‐Ghazali Talbi · 2021 · ACM Computing Surveys
30. A Smartphone-Based Adaptive Recognition and Real-Time Monitoring System for Human Activities
    Wen Qi, Hang Su, Andréa Aliverti · 2020 · IEEE Transactions on Human-Machine Systems
31. Supervised machine learning tools: a tutorial for clinicians
    Lucas Lo Vercio, Kimberly Amador, Jordan J. Bannister, Sebastian Crites, Alejandro Gutierrez, Matthew Ethan MacDonald, Jasmine A. Moore, Pauline Mouchès, Deepthi Rajashekar, Serena Schimert et al. · 2020 · Journal of Neural Engineering
32. Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG
    Muhammad Zeeshan Baig, Nauman Aslam, Hubert P. H. Shum, Li Zhang · 2017 · Expert Systems with Applications
33. Considerations for Evaluation and Generalization in Interpretable Machine Learning
    Doshi-Velez, Finale, Kim, Been · 2018 · The Springer Series on Challenges in Machine Learning
34. Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis
    Ke Yan, Lulu Ma, Yuting Dai, Wen Shen, Zhiwei Ji, Dongqing Xie · 2017 · International Journal of Refrigeration
35. A review on computer vision systems in monitoring of poultry: A welfare perspective
    Cedric Okinda, Innocent Nyalala, Tchalla Korohou, Celestine Okinda, Jintao Wang, Tracy Achieng, Patrick Wamalwa, Tai Mang, Mingxia Shen · 2020 · Artificial Intelligence in Agriculture
36. Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer
    Razieh Sheikhpour, Mehdi Agha Sarram, Robab Sheikhpour · 2015 · Applied Soft Computing
37. Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification
    Xiongshi Deng, Min Li, Shaobo Deng, Lei Wang · 2022 · Medical & Biological Engineering & Computing
38. A feature dependent Naive Bayes approach and its application to the software defect prediction problem
    Omer Faruk Arar, K. Ayan · 2017 · Applied Soft Computing
39. Filtering techniques for channel selection in motor imagery EEG applications: a survey
    Muhammad Zeeshan Baig, Nauman Aslam, Hubert P. H. Shum · 2019 · Artificial Intelligence Review
40. Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field
    Seyed Babak Ashrafi, Mohammad Anemangely, Mohammad Sabah, Mohammad Javad Ameri · 2018 · Journal of Petroleum Science and Engineering
41. A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection
    Di Wu, Yi He, Xin Luo, MengChu Zhou · 2021 · IEEE Transactions on Systems Man and Cybernetics Systems
42. A new method proposed for realizing human gait pattern recognition: Inspirations for the application of sports and clinical gait analysis
    Datao Xu, Huiyu Zhou, Wenjing Quan, Xinyan Jiang, Minjun Liang, Shudong Li, Ukadike Chris Ugbolue, Julien S. Baker, Gusztáv Fekete, Xin Ma et al. · 2023 · Gait & Posture
43. Finding near-optimal configurations in product lines by random sampling
    Jeho Oh, Don S. Batory, Margaret Myers, Norbert Siegmund · 2017 · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
44. A hybrid system for Parkinson’s disease diagnosis using machine learning techniques
    Rohit Lamba, Tarun Gulati, Hadeel Fahad Alharbi, Anurag Jain · 2021 · International Journal of Speech Technology
45. Multilabel feature selection: A comprehensive review and guiding experiments
    Shima Kashef, Hossein Nezamabadi–pour, Bahareh Nikpour · 2018 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
46. Binary biogeography-based optimization based SVM-RFE for feature selection
    Albashish, Dheeb, Hammouri, Abdelaziz I., Braik, Malik, Atwan, Jaffar, Sahran, Shahnorbanun · 2021 · Applied Soft Computing
47. Breast Cancer Detection, Segmentation and Classification on Histopathology Images Analysis: A Systematic Review
    R. Krithiga, P. Geetha · 2020 · Archives of Computational Methods in Engineering
48. Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review
    Joerg Leukel, Julián Gil González, Martin Riekert · 2021 · Journal of Manufacturing Systems
49. A review on machine learning algorithms to predict daylighting inside buildings
    Mohammed Ayoub · 2020 · Solar Energy
50. A literature review of feature selection techniques and applications: Review of feature selection in data mining
    S. Visalakshi, V. Radha · 2014 · IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)
51. A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
    Abiodun Esther Omolara, Abdulatif Alabdulatif, Oludare Isaac Abiodun, Moatsum Alawida, Abdullah Alabdulatif, Rami S. Alkhawaldeh · 2021 · Neural Computing and Applications
52. Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism
    Maryam Amoozegar, Behrouz Minaei Bidgoli · 2018 · Expert Systems with Applications
53. FeatureSelect: a software for feature selection based on machine learning approaches
    Yosef Masoudi‐Sobhanzadeh, Habib MotieGhader, Ali Masoudi‐Nejad · 2019 · BMC Bioinformatics
54. Computational Diagnostic Techniques for Electrocardiogram Signal Analysis
    Liping Xie, Zilong Li, Yihan Zhou, Yiliu He, Jiaxin Zhu · 2020 · Sensors
55. A group incremental feature selection for classification using rough set theory based genetic algorithm
    Asit Kumar Das, Shampa Sengupta, Siddhartha Bhattacharyya · 2018 · Applied Soft Computing
56. An enhanced support vector machine model for urban expansion prediction
    Firoozeh Karimi, Selima Sultana, Ali Shirzadi Babakan, Shan Suthaharan · 2019 · Computers Environment and Urban Systems
57. Machine Learning Techniques in Adaptive and Personalized Systems for Health and Wellness
    Oladapo Oyebode, Jonathon Richard Fowles, Darren Steeves, Rita Orji · 2022 · International Journal of Human-Computer Interaction
58. Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department
    Shancheng Jiang, Kwai‐Sang Chin, Long Wang, Gang Qu, Kwok‐Leung Tsui · 2017 · Expert Systems with Applications
59. Automatic driver sleepiness detection using EEG, EOG and contextual information
    Shaibal Barua, Mobyen Uddin Ahmed, Christer H. G. Ahlstrom, Shahina Begum · 2018 · Expert Systems with Applications
60. Distributed multi-label feature selection using individual mutual information measures
    Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano · 2019 · Knowledge-Based Systems
61. Toward Design of an Intelligent Cyber Attack Detection System using Hybrid Feature Reduced Approach for IoT Networks
    Prabhat Kumar, Govind P. Gupta, Rakesh Tripathi · 2021 · Arabian Journal for Science and Engineering
62. Machine learning accelerates the materials discovery
    Jiheng Fang, Ming Xie, Xingqun He, Jiming Zhang, Jieqiong Hu, Yongtai Chen, Youcai Yang, Qinglin Jin · 2022 · Materials Today Communications
63. Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images
    Gülşen Taşkın, Hüseyin Kaya, Lorenzo Bruzzone · 2017 · IEEE Transactions on Image Processing
64. MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality
    Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour · 2019 · Expert Systems with Applications
65. Machine Learning for Data Center Optimizations: Feature Selection Using Shapley Additive exPlanation (SHAP)
    Marta Chinnici, Yibrah Gebreyesus, Damian Dalton, Sebastian Nixon, Davide De Chiara · 2023 · Future Internet
66. Machine learning techniques for quality control in high conformance manufacturing environment
    Carlos A Escobar, Rubén Morales-Menéndez · 2018 · Advances in Mechanical Engineering
67. Literature Review on Feature Selection Methods for High-Dimensional Data
    Danasingh Asir Antony Gnana Singh, S. Appavu, Epiphany Jebamalar Leavline · 2016 · International Journal of Computer Applications
68. Sine cosine optimization algorithm for feature selection
    Ahmed Ibrahem Hafez, Hossam M. Zawbaa, E. Emary, Aboul Ella Hassanien · 2016 · International Conference on Innovations in Intelligent Systems and Applications (INISTA)
69. Financial crisis prediction model using ant colony optimization
    J. Uthayakumar, Noura Metawa, K. Shankar, S. K. Lakshmanaprabu · 2018 · International Journal of Information Management
70. A survey of neural network-based cancer prediction models from microarray data
    Maisa Daoud, Michael Mayo · 2019 · Artificial Intelligence in Medicine
71. Multi‐Layer Feature Selection Incorporating Weighted Score‐Based Expert Knowledge toward Modeling Materials with Targeted Properties
    Yue Liu, Junming Wu, Maxim Avdeev, Siqi Shi · 2020 · Advanced Theory and Simulations
72. Effective multi-sensor data fusion for chatter detection in milling process
    Minh‐Quang Tran, Meng‐Kun Liu, Mahmoud Elsisi · 2021 · ISA Transactions
73. A critical review of recent trends in sample classification using Laser-Induced Breakdown Spectroscopy (LIBS)
    Lukas Brunnbauer, Zuzana Gajarska, Hans Lohninger, Andreas Limbeck · 2022 · TrAC Trends in Analytical Chemistry
74. Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier
    Paul Desbordes, Su Ruan, Romain Modzelewski, Sébastien Vauclin, Pierre Véra, Isabelle Gardin · 2016 · Computerized Medical Imaging and Graphics
75. A new feature selection IDS based on genetic algorithm and SVM
    Hossein Gharaee, Hamid Hosseinvand · 2016 · International Symposium on Telecommunications
76. A feature selection approach for hyperspectral image based on modified ant lion optimizer
    Mingwei Wang, Chunming Wu, Lizhe Wang, Daxiang Xiang, Xiaohui Huang · 2019 · Knowledge-Based Systems
77. An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking
    Madjid Tavana D, Amir‐Reza Abtahi, Debora Di Caprio, Maryam Poortarigh · 2017 · Neurocomputing
78. Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency
    Mischa Schmidt, Christer Åhlund · 2018 · Renewable and Sustainable Energy Reviews
79. A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques
    Weitao Chen, Xianju Li, Haixia He, Lizhe Wang · 2017 · Remote Sensing
80. Temperature-preference learning with neural networks for occupant-centric building indoor climate controls
    Yuzhen Peng, Zoltán Nagy, Arno Schlueter · 2019 · Building and Environment
81. A machine learning approach to predict drilling rate using petrophysical and mud logging data
    Mohammad Sabah, Mohsen Talebkeikhah, David A. Wood, Rasool Khosravanian, Mohammad Anemangely, Alireza Tayefeh Younesi · 2019 · Earth Science Informatics
82. Identifying Fake News on Social Networks Based on Natural Language Processing: Trends and Challenges
    Nicollas R. de Oliveira, Pedro Silveira Pisa, Martin Andreoni Lopez, Dianne S. V. Medeiros, Diogo M. F. Mattos · 2021 · Information
83. Feature selection methods for text classification: a systematic literature review
    Julliano Trindade Pintas, Leandro A. F. Fernandes, Ana Cristina Bicharra García · 2021 · Artificial Intelligence Review
84. Artificial Neural Networks for the Prediction of Biochar Yield: A Comparative Study of Metaheuristic Algorithms
    Muzammil Khan, Zahid Ullah, Ondřej Mašek, Salman Raza Naqvi, Muhammad Nouman Aslam Khan · 2022 · Bioresource Technology
85. Application of Machine Learning in Epileptic Seizure Detection
    Ly Van Tran, Hieu Minh Tran, Tuan Minh Le, Tri Huynh, Hung T. Tran, Son Vu Truong Dao · 2022 · Diagnostics
86. High-dimensional feature selection via feature grouping: A Variable Neighborhood Search approach
    Miguel García-Torres, Francisco Gómez-Vela, Belén Melián-Batista, José Marcos Moreno-Vega · 2015 · Information Sciences
87. A new hybrid filter–wrapper feature selection method for clustering based on ranking
    Saúl Solorio-Fernández, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad · 2016 · Neurocomputing
88. An innovative approach for real-time network traffic classification
    Klenilmar Lopes Dias, Mateus Almeida Pongelupe, Walmir M. Caminhas, Luciano de Errico · 2019 · Computer Networks
89. Dimensionality Reduction in Surrogate Modeling: A Review of Combined Methods
    Chun Kit Jeffery Hou, Kamran Behdinan · 2022 · Data Science and Engineering
90. Comparison of Feature Selection Methods and Machine Learning Classifiers for Radiomics Analysis in Glioma Grading
    Pan Sun, Defeng Wang, Vincent Mok, Lin Shi · 2019 · IEEE Access
91. Automated Machine Learning for Healthcare and Clinical Notes Analysis
    Akram Mustafa, Mostafa Rahimi Azghadi · 2021 · Computers
92. Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification
    Lingyun Gao, Mingquan Ye, Xiaojie Lu, Daobin Huang · 2017 · Genomics Proteomics & Bioinformatics
93. A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements
    Mohammad Naim RASTGOO, Bahareh Nakisa, Andry Rakotonirainy, Vinod Chandran, Dian Tjondronegoro · 2018 · ACM Computing Surveys
94. Learning in high-dimensional multimedia data: the state of the art
    Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao · 2015 · Multimedia Systems
95. Performance Evaluation of a Proposed Machine Learning Model for Chronic Disease Datasets Using an Integrated Attribute Evaluator and an Improved Decision Tree Classifier
    Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Akash Kumar Bhoi, Alfonso González‐Briones · 2020 · Applied Sciences
96. Toward a Trust Evaluation Mechanism in the Social Internet of Things
    Nguyen B. Truong, Hyunwoo Lee, Bob Askwith, Gyu Myoung Lee · 2017 · Sensors
97. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review
    Camila Maione, Fernando Barbosa, Rommel Barbosa · 2019 · Computers and Electronics in Agriculture
98. A NSGA2-LR wrapper approach for feature selection in network intrusion detection
    Chaouki Khammassi, Saoussen Krichen · 2020 · Computer Networks
99. Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis
    Xiaomo Liu, Gang Alan Wang, Weiguo Fan, Zhongju Zhang · 2020 · Information Systems Research
100. Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches
     Chih‐Fong Tsai, Ya-Ting Sung · 2020 · Knowledge-Based Systems