A survey on feature selection methods

Cited by (1,004)

Items 801–900 of 1,004

1. Empirical Evaluation of the Ensemble Framework for Feature Selection in DDoS Attack
   Saikat Das, Deepak Venugopal, Sajjan G. Shiva, Frederick T. Sheldon · 2020 · IEEE International Conference on Cyber Security and Cloud Computing / IEEE International Conference on Edge Computing and Scalable Cloud (CSCloud/EdgeCom)
2. Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks
   Tarun S. Cousik, Vijay K. Shah, Tugba Erpek, Yalin E. Sagduyu, Jeffrey H. Reed · 2022 · IEEE Transactions on Network Science and Engineering
3. A New Machine Learning Approach in Detecting the Oil Palm Plantations Using Remote Sensing Data
   Kaibin Xu, Jing Qian, Zengyun Hu, Zheng Duan, Chaoliang Chen, Jun Liu, Jiayu Sun, Shujie Wei, Xiuwei Xing · 2021 · Remote Sensing
4. EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning
   Shatha Awawdeh, Hossam Faris, Hazem Hiary · 2021 · Knowledge-Based Systems
5. Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records
   Pavol Mikoláš, Amirali Vahid, Fabio Bernardoni, Mathilde Süß, Julia Martini, Christian Beste, Annet Bluschke · 2022 · Scientific Reports
6. Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm
   Rahim Azadnia, Kamran Kheiralipour · 2022 · Ecological Informatics
7. An AI-Based Shortlisting Model for Sustainability of Human Resource Management
   Erdinç Aydın, Meti̇n Turan · 2023 · Sustainability
8. Building energy performance prediction: A reliability analysis and evaluation of feature selection methods
   Razak Olu-Ajayi, Hafiz Alaka, Ismail Abiodun Sulaimon, Habeeb Balogun, Godoyon Ebenezer Wusu, Wasiu Yusuf, Muideen Adegoke · 2023 · Expert Systems with Applications
9. Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
   Nebojša Bačanin, Miodrag Z. Zivkovic, Miloš Antonijević, K. Venkatachalam, Jinseok Lee, Yunyoung Nam, Marina Marjanovic, Ivana Strumberger, Mohamed Abouhawwash · 2023 · Complex & Intelligent Systems
10. Machine learning in physical activity, sedentary, and sleep behavior research
    Vahid Farrahi, Mehrdad Rostami · 2024 · Journal of Activity Sedentary and Sleep Behaviors
11. Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
    Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, Maria Antonia Brovelli · 2024 · Remote Sensing
12. OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning
    Md. Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik H. W. Meijering · 2025 · Scientific Reports
13. Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm
    Nooshin Nabizadeh, Miroslav Kubát · 2017 · Expert Systems with Applications
14. Short-Term Traffic Flow Forecasting for Urban Roads Using Data-Driven Feature Selection Strategy and Bias-Corrected Random Forests
    Jishun Ou, Jingxin Xia, Yao‐Jan Wu, Wenming Rao · 2017 · Transportation Research Record Journal of the Transportation Research Board
15. Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine
    Nattane Luíza da Costa, Laura Andrea García Llobodanin, Márcio Dias de Lima, Inar Alves de Castro, Rommel Barbosa · 2018 · Measurement
16. iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection
    Zaheer Ullah Khan, Farman Ali, Irfan Ahmad, Maqsood Hayat, Dechang Pi · 2019 · Chemometrics and Intelligent Laboratory Systems
17. A Multidimensional Trust Evaluation Framework for Online Social Networks Based on Machine Learning
    Xu Chen, Yuyu Yuan, Lilei Lu, Jincui Yang · 2019 · IEEE Access
18. Compiling Measurement Invariant Short Scales in Cross–Cultural Personality Assessment Using Ant Colony Optimization
    Kristin Jankowsky, Gabriel Olaru, Ulrich Schroeders · 2020 · European Journal of Personality
19. Comprehensive study on sensitive parameters for chiller fault diagnosis
    Yu Gao, Hua Han, Zhengxiong Ren, J.Q. Gao, SongXuan Jiang, Y.T Yang · 2021 · Energy and Buildings
20. Optimal Feature Selection for Defect Classification in Semiconductor Wafers
    José Luis Gómez-Sirvent, Francisco López de la Rosa, Roberto Sánchez-Reolid, Antonio Fernández‐Caballero, Rafael Morales · 2022 · IEEE Transactions on Semiconductor Manufacturing
21. A Survey of Automated Financial Statement Fraud Detection with Relevance to the South African Context
    Wilson Tsakane Mongwe, Katherine Mary Malan · 2020 · South African Computer Journal
22. Medical Images Segmentation Based on Unsupervised Algorithms: A Review
    Revella E. A. Armya, Adnan Mohsin Abdulazeez · 2021 · Qubahan Academic Journal
23. A robust multiobjective Harris’ Hawks Optimization algorithm for the binary classification problem
    Tansel Dökeroğlu, Ayça Deniz, Hakan Ezgi Kızılöz · 2021 · Knowledge-Based Systems
24. Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels
    Mahshad Javidan, Mohammadreza Yazdchi, Zahra Baharlouei, Amin Mahnam · 2021 · Biomedical Signal Processing and Control
25. Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics
    Nebojša Bačanin, Aleksandar Petrović, Miodrag Z. Zivkovic, Timea Bezdan, Miloš Antonijević · 2021 · Communications in computer and information science
26. An application of machine learning regression to feature selection: a study of logistics performance and economic attribute
    Suriyan Jomthanachai, Wai Peng Wong, Khai Wah Khaw · 2022 · Neural Computing and Applications
27. Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases
    Rui-Si Hu, Abd El‐Latif Hesham, Quan Zou · 2022 · Frontiers in Cellular and Infection Microbiology
28. Natural gas spot price prediction research under the background of Russia-Ukraine conflict - based on FS-GA-SVR hybrid model
    Yunan Zheng, Jian Luo, Jinbiao Chen, Zanyu Chen, Peipei Shang · 2023 · Journal of Environmental Management
29. Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions
    Bruna Maria Vittoria Guerra, Emanuele Torti, Elisa Marenzi, Micaela Schmid, Stefano Ramat, Francesco Leporati, Giovanni Danese · 2023 · Frontiers in Neuroscience
30. An enhanced harmony search based algorithm for feature selection: Applications in epileptic seizure detection and prediction
    Zarita Zainuddin, Kee Huong Lai, Pauline Ong · 2016 · Computers & Electrical Engineering
31. Online Signature Verification Based on Stable Features Extracted Dynamically
    Xiaoyu Song, Xinghua Xia, Fangjun Luan · 2016 · IEEE Transactions on Systems Man and Cybernetics Systems
32. Hypergraph Based Feature Selection Technique for Medical Diagnosis
    Nivethitha Somu, M. R. Gauthama Raman, Kannan Kirthivasan, V. S. Shankar Sriram · 2016 · Journal of Medical Systems
33. Review on Feature Selection and Classification using Neuro-Fuzzy Approaches
    Saroj K. Biswas, Monali Bordoloi, Biswajit Purkayastha · 2016 · International Journal of Applied Evolutionary Computation
34. A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis
    Marwa Trabelsi, Nida Meddouri, Mondher Maddouri · 2017 · Procedia Computer Science
35. CCFS: A cooperating coevolution technique for large scale feature selection on microarray datasets
    Mohammad Kazem Ebrahimpour, Hossein Nezamabadi–pour, Mahdi Eftekhari · 2018 · Computational Biology and Chemistry
36. Effects of Learning Analytics on Students' Self-Regulated Learning in Flipped Classroom
    João Carlos Sedraz Silva, Erik de Gouveia Zambom, Rodrigo Lins Rodrigues, Jorge Luís Cavalcanti Ramos, Fernando da Fonseca de Souza · 2018 · International Journal of Information and Communication Technology Education
37. A fast unsupervised preprocessing method for network monitoring
    Martin Andreoni Lopez, Diogo M. F. Mattos, Otto Carlos M. B. Duarte, Guy Pujolle · 2018 · Annals of Telecommunications
38. Fully automated scheme for computer‐aided detection and breast cancer diagnosis using digitised mammograms
    Ahmed S. Eltrass, Mohamed S. Salama · 2019 · IET Image Processing
39. Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection
    Yiming Tian, Jie Zhang, Jie Wang, Yanli Geng, Xitai Wang · 2020 · Systems Science & Control Engineering
40. Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries
    Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Paweł Pławiak, Ru‐San Tan, U. Rajendra Acharya · 2020 · Expert Systems
41. A Hybrid Approach for Feature Selection Based on Genetic Algorithm and Recursive Feature Elimination
    Pooja Rani, Rajneesh Kumar, Anurag Jain, Sunil Kumar Chawla · 2021 · International Journal of Information System Modeling and Design
42. Feature Selection Methods for Protein Biomarker Discovery from Proteomics or Multiomics Data
    Zhiao Shi, Bo Wen, Qiang Gao, Bing Zhang · 2021 · Molecular & Cellular Proteomics
43. Non-invasive physical demand assessment using wearable respiration sensor and random forest classifier
    Milad Sadat‐Mohammadi, Shahrad Shakerian, Yizhi Liu, Somayeh Asadi, Houtan Jebelli · 2021 · Journal of Building Engineering
44. How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning
    Corrales, David, Corrales, Juan, Ledezma, Agapito · 2018 · Symmetry
45. Binary Label Learning for Semi-supervised Feature Selection
    Dan Shi, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zhenguang Liu · 2021 · IEEE Transactions on Knowledge and Data Engineering
46. Interpretable boosting tree ensemble method for multisource building fire loss prediction
    Ning Wang, Yan Qiu Xu, Sutong Wang · 2022 · Reliability Engineering & System Safety
47. Machine Learning Models and Data-Balancing Techniques for Credit Scoring: What Is the Best Combination?
    Ahmed Almustfa Hussin Adam Khatir, Marco Bee · 2022 · Risks
48. Online and offline streaming feature selection methods with bat algorithm for redundancy analysis
    Sadegh Eskandari, Maryam Seifaddini · 2022 · Pattern Recognition
49. Building feature‐based machine learning regression to quantify urban material stocks: A Hong Kong study
    Liang Yuan, Wei-Sheng Lu, Fan Xue, Mao-Su Li · 2023 · Journal of Industrial Ecology
50. Apatite trace element composition as an indicator of ore deposit types: A machine learning approach
    Kun‐Feng Qiu, Tong Zhou, David Chew, Zhaoliang Hou, Axel B. Müller, Hao-Cheng Yu, Robert G. Lee, Huan Chen, Jun Deng · 2023 · American Mineralogist
51. Feature Selection Using Golden Jackal Optimization for Software Fault Prediction
    Himansu Das, Sanjay Prajapati, Mahendra Kumar Gourisaria, Radha Mohan Pattanayak, Abdalla Abdelrahim Mohamed Alameen, Manjur Kolhar · 2023 · Mathematics
52. Artificial intelligence perspectives: A systematic literature review on modeling, control, and optimization of fluid catalytic cracking
    Mustapha K. Khaldi, Mujahed Al‐Dhaifallah, Othman Taha · 2023 · Alexandria Engineering Journal
53. A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
    Suraj Gupta, Akhilesh Kumar, Jhareswar Maiti · 2024 · Safety Science
54. Car make and model recognition under limited lighting conditions at night
    Noppakun Boonsim, Simant Prakoonwit · 2016 · Pattern Analysis and Applications
55. DoS Detection Method based on Artificial Neural Networks
    Mohamed Idhammad, Karim Afdel, Mustapha Belouch · 2017 · International Journal of Advanced Computer Science and Applications
56. Empirical Analysis of Rank Aggregation-Based Multi-Filter Feature Selection Methods in Software Defect Prediction
    Abdullateef Oluwagbemiga Balogun, Shuib B. Basri, Saipunidzam Mahamad, Said Jadid Abdulkadir, Luiz Fernando Capretz, Abdullahi Abubakar Imam, Malek Ahmad Almomani, Victor Elijah Adeyemo, Ganesh Kumar · 2021 · Electronics
57. Binary Grey Wolf Optimization-Regularized Extreme Learning Machine Wrapper Coupled with the Boruta Algorithm for Monthly Streamflow Forecasting
    Jihong Qu, Kun Ren, Xiaoyu Shi · 2021 · Water Resources Management
58. Use of Machine Learning and Deep Learning to Predict the Outcomes of Major League Baseball Matches
    Mei‐Ling Huang, Yunzhi Li · 2021 · Applied Sciences
59. piEnPred: a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-level subset feature selection algorithm
    Zaheer Ullah Khan, Dechang Pi, Shuanglong Yao, Asif Nawaz, Farman Ali, Shaukat Ali · 2021 · Frontiers of Computer Science
60. An ensemble feature selection algorithm based on PageRank centrality and fuzzy logic
    Mehdi Joodaki, Mohammad Bagher Dowlatshahi, Nazanin Zahra Joodaki · 2021 · Knowledge-Based Systems
61. A Novel Method for Performance Measurement of Public Educational Institutions Using Machine Learning Models
    Talha Mahboob Alam, Mubbashar Mushtaq, Kamran Shaukat, Ibrahim A. Hameed, Muhammad Umer Sarwar, Suhuai Luo · 2021 · Applied Sciences
62. Interpretable Battery Cycle Life Range Prediction Using Early Cell Degradation Data
    Huang Zhang, Yang Su, Faisal Altaf, Torsten Wik, Sébastien Gros · 2022 · IEEE Transactions on Transportation Electrification
63. Feature Selection Method Based on Class Discriminative Degree for Intelligent Medical Diagnosis
    Shengqun Fang, Zhiping Cai, Wencheng Sun, Anfeng Liu, Fang Liu, Zhiyao Liang, Guoyan Wang · 2018
64. Machine Learning Smart System for Parkinson Disease Classification Using the Voice as a Biomarker
    Ilias Tougui, Abdelilah Jilbab, Jamal El Mhamdi · 2022 · Healthcare Informatics Research
65. Apache Spark and Deep Learning Models for High-Performance Network Intrusion Detection Using CSE-CIC-IDS2018
    Abdulnaser A. Hagar, Bharti W. Gawali · 2022 · Computational Intelligence and Neuroscience
66. Embedded Feature Selection and Machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China
    Jianuo Li, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Rihan Wu, Guorong Deng · 2022 · Remote Sensing
67. Machine and Deep Learning-based XSS Detection Approaches: A Systematic Literature Review
    Isam Kareem Thajeel, Khairulmizam B. Samsudin, Shaiful Jahari Hashim, Fazirulhisyam Hashim · 2023 · Journal of King Saud University - Computer and Information Sciences
68. An interpretable machine learning model for predicting bond strength of CFRP-steel epoxy-bonded interface
    Lu Ke, Mingdong Qiu, Zheng Chen, Jiale Zhou, Zheng Feng, Jiejie Long · 2023 · Composite Structures
69. Neuronal sequences in population bursts encode information in human cortex
    Weizhen Xie, John H. Wittig, Julio I. Chapeton, Mostafa M. El-Kalliny, Samantha N Jackson, Sara K. Inati, Kareem A. Zaghloul · 2024 · Nature
70. A comparative study of imputation techniques for missing values in healthcare diagnostic datasets
    Luke Oluwaseye Joel, Wesley Doorsamy, Babu Sena Paul · 2025 · International Journal of Data Science and Analytics
71. Melanoma recognition in dermoscopy images using lesion's peripheral region information
    Neda Zamani Tajeddin, Babak Mohammadzadeh Asl · 2018 · Computer Methods and Programs in Biomedicine
72. Prediction of aerosol optical depth in West Asia using deterministic models and machine learning algorithms
    Seyed Omid Nabavi, Leopold Haimberger, Reyhaneh Abbasi, Cyrus Samimi · 2018 · Aeolian Research
73. A gastric cancer LncRNAs model for MSI and survival prediction based on support vector machine
    Tao Chen, Cangui Zhang, Yingqiao Liu, Yuyun Zhao, Dingyi Lin, Yanfeng Hu, Jiang Yu, Guoxin Li · 2019 · BMC Genomics
74. A case-based method of selecting covariates for digital soil mapping
    Peng Liang, Cheng‐Zhi Qin, A‐Xing Zhu, Zhiwei Hou, Naiqing Fan, Yijie Wang · 2020 · Journal of Integrative Agriculture
75. A hybrid fuzzy feature selection algorithm for high-dimensional regression problems: An mRMR-based framework
    Fatemeh Aghaeipoor, Mohammad Masoud Javidi · 2020 · Expert Systems with Applications
76. A novel Android malware detection system: adaption of filter-based feature selection methods
    Durmuş Özkan Şahi̇n, Oğuz Emre Kural, Sedat Akleylek, Erdal Kılıç · 2021 · Journal of Ambient Intelligence and Humanized Computing
77. Identifying opportunities to improve digital soil mapping in India: A systematic review
    Prava Kiran Dash, Niranjan Panigrahi, Antaryami Mishra · 2021 · Geoderma Regional
78. An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data
    Hamed Khosravi, Babak Amiri, Navid Yazdanjue, Vahide Babaiyan · 2022 · Expert Systems with Applications
79. An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics
    Matt P. Spick, Holly-May Lewis, Cécile Frampas, Katie Longman, Catia Costa, Alexander Stewart, Deborah K. Dunn‐Walters, Danni Greener, George Evetts, Michael J. Wilde et al. · 2022 · Scientific Reports
80. Assessing Human Motion During Exercise Using Machine Learning: A Literature Review
    Fotos Frangoudes, Maria Matsangidou, Eirini C Schiza, Kleanthis Neokleous, Constantinos S. Pattichis · 2022 · IEEE Access
81. The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation
    Carlos A. Escobar, Daniela Macías Arregoyta, Rubén Morales-Menéndez · 2023 · Quality Engineering
82. Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation
    Roberto Bertolini, Stephen J. Finch, Ross H. Nehm · 2021 · International Journal of Educational Technology in Higher Education
83. An empirical study on the joint impact of feature selection and data resampling on imbalance classification
    Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding · 2022 · Applied Intelligence
84. A Machine Learning Methodology for Predicting Geothermal Heat Flow in the Bohai Bay Basin, China
    Jifu He, Kewen Li, Xinwei Wang, Nanan Gao, Xiaoping Mao, Lin Jia · 2022 · Natural Resources Research
85. Machine Learning Methods for Automated Fault Detection and Diagnostics in Building Systems—A Review
    William Nelson, Charles Henry Culp · 2022 · Energies
86. Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives
    Keke Qin, Wu Xin Huang, Tao Zhang, Shiqi Tang · 2022 · Artificial Intelligence Review
87. Artificial intelligence-navigated development of high-performance electrochemical energy storage systems through feature engineering of multiple descriptor families of materials
    Haruna Adamu, Sani Isah Abba, Paul Betiang Anyin, Yusuf Sani, Mohammad Qamar · 2023 · Energy Advances
88. Comparative analysis of machine learning models for coronary artery disease prediction with optimized feature selection
    David B. Olawade, Afeez Adekunle Soladoye, Bolaji A Omodunbi, Nicholas Aderinto, Ibrahim Adeyanju · 2025 · International Journal of Cardiology
89. On efficiency enhancement of the correlation-based feature selection for intrusion detection systems
    Mahsa Bataghva Shahbaz, Xianbin Wang, Aydin Behnad, Jagath K. Samarabandu · 2016 · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
90. The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction
    Raed Shatnawi · 2017 · Innovations in Systems and Software Engineering
91. Efficient Conversion of Deep Features to Compact Binary Codes Using Fourier Decomposition for Multimedia Big Data
    Jamil Ahmad, Khan Muhammad, Jaime Lloret, Sung Wook Baik · 2018 · IEEE Transactions on Industrial Informatics
92. MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features
    Shervin Minaee, Yao Wang, Alp Aygar, Sohae Chung, Xiuyuan Wang, Yvonne W. Lui, Els Fieremans, Steven R. Flanagan, Joseph F. Rath · 2019 · IEEE Transactions on Medical Imaging
93. Computational intelligence modelling of pharmaceutical tabletting processes using bio-inspired optimization algorithms
    Hossam M. Zawbaa, Serena Schiano, Lucía Pérez-Gandarillas, Crina Groşan, Abderrahim Michrafy, Chuan‐Yu Wu · 2018 · Advanced Powder Technology
94. Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification
    Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael R. Folkert, Steve B Jiang, Jing Wang · 2019 · IEEE Journal of Biomedical and Health Informatics
95. Credit risk modeling on data with two timestamps in peer-to-peer lending by gradient boosting
    Ligang Zhou, Hamido Fujita, Hao Ding, Rui Ma · 2021 · Applied Soft Computing
96. Automatic recommendation of feature selection algorithms based on dataset characteristics
    Antonio Rafael Sabino Parmezan, Huei Lee, Newton Spolaôr, Feng Chung Wu · 2021 · Expert Systems with Applications
97. Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms
    Om Prakash Singh, Marta Vallejo, Ismail M. El-Badawy, Aysha Ali, Jagannathan Madhanagopal, Ahmad Athif Mohd Faudzi · 2021 · Computers in Biology and Medicine
98. Advanced strategies on update mechanism of Sine Cosine Optimization Algorithm for feature selection in classification problems
    Gizem Ataç Kale, Uğur Yüzgeç · 2021 · Engineering Applications of Artificial Intelligence
99. Enhanced COOT optimization algorithm for Dimensionality Reduction
    Reham Reda Mostafa, Abdelazim G. Hussien, Muhammad Attique Khan, Seifedine Kadry, Fatma A. Hashim · 2022 · International Women in Data Science Conference at Prince Sultan University (WiDS PSU)
100. Hybrid binary whale with harris hawks for feature selection
     Ranya Al-wajih, Said Jadid Abdulkadir, Hitham Alhussian, Norshakirah Aziz, Qasem Al-Tashi, Seyedali Mirjalili, Alawi Alqushaibi · 2022 · Neural Computing and Applications