Machine Learning-Based Feature Extraction and Selection
Source abstract
Abstract
Over the last decade, technological advances have brought breakthroughs in the landscape of data management, transmission, processing, and storage [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Neural Networks and Applications · Face and Expression Recognition · Time Series Analysis and Forecasting
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
CINBIO, Department of Computer Science, ESEI—Escuela Superior de Ingeniería Informática, University of Vigo, 32004 Ourense, Spain
SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain
References (22)
Show source-provided references
1. Ruben, M.A., Stosic, M.D., Correale, J., and Blanch-Hartigan, D. (2021). Is Technology Enhancing or Hindering Interpersonal Communication? A Framework and Preliminary Results to Examine the Relationship between Technology Use and Nonverbal Decoding Skill. Front. Psychol., 11.10.3389/fpsyg.2020.611670 ↗
2. When Do Smartphones Displace Face-to-Face Interactions and What to Do about It?10.1016/j.chb.2020.106550 ↗
3. Kemp, S. (2024, July 22). Digital 2023: Global Overview Report. Available online: https://datareportal.com/reports/digital-2023-global-overview-report.
4. Ceci, L. (2024, July 22). Mobile Messaging Users Worldwide 2025. Available online: https://www.statista.com/statistics/483255/number-of-mobile-messaging-users-worldwide/.
5. Mental Health Concerns in the Digital Age10.1007/s11469-016-9684-0 ↗
6. Social Anxiety and Technology: Face-to-Face Communication versus Technological Communication among Teens10.1016/j.chb.2009.06.003 ↗
7. An Introduction to Feature Extraction10.1007/978-3-540-35488-8_1 ↗
8. Sammut, C., and Webb, G.I. (2011). Feature Selection. Encyclopedia of Machine Learning, Springer.10.1007/978-0-387-30164-8 ↗
9. Feature Selection Methods and Predictive Models in CT Lung Cancer Radiomics10.1002/acm2.13869 ↗
10. Narayan, V., Mall, P.K., Awasthi, S., Srivastava, S., and Gupta, A. (2023, January 27–29). FuzzyNet: Medical Image Classification Based on GLCM Texture Feature. Proceedings of the 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India.10.1109/AISC56616.2023.10085348 ↗
11. Başaran, E. (2022). A New Brain Tumor Diagnostic Model: Selection of Textural Feature Extraction Algorithms and Convolution Neural Network Features with Optimization Algorithms. Comput. Biol. Med., 148.10.1016/j.compbiomed.2022.105857 ↗
12. Deep Learning Based Feature Extraction and a Bidirectional Hybrid Optimized Model for Location Based Advertising10.1007/s11042-022-12457-3 ↗
13. Feature Selection of EEG Signals in Neuromarketing10.7717/peerj-cs.944 ↗
14. An Intelligent Neuromarketing System for Predicting Consumers’ Future Choice from Electroencephalography Signals10.1016/j.physbeh.2022.113847 ↗
15. Survey of Feature Selection and Extraction Techniques for Stock Market Prediction10.1186/s40854-022-00441-7 ↗
16. Ayyappa, Y., and Kumar, A.P.S. (2022, January 21–23). A Compact Literature Review on Stock Market Prediction. Proceedings of the 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.10.1109/ICIRCA54612.2022.9985501 ↗
17. Wu, T., Wang, M., Xi, Y., and Zhao, Z. (2022). Malicious URL Detection Model Based on Bidirectional Gated Recurrent Unit and Attention Mechanism. Appl. Sci., 12.10.3390/app122312367 ↗
18. Ashraf, M., Abid, F., Din, I.U., Rasheed, J., Yesiltepe, M., Yeo, S.F., and Ersoy, M.T. (2023). A Hybrid CNN and RNN Variant Model for Music Classification. Appl. Sci., 13.10.3390/app13031476 ↗
19. Cudjoe, M.N.M., Kwarteng, E.V.S., Anning, E., Bodunrin, I.R., and Andam-Akorful, S.A. (2024). Application of Remote Sensing and Geographic Information System Technologies to Assess the Impact of Mining: A Case Study at Emalahleni. Appl. Sci., 14.10.3390/app14051739 ↗
20. Zubair, I.M., Lee, Y.-S., and Kim, B. (2024). A New Permutation-Based Method for Ranking and Selecting Group Features in Multiclass Classification. Appl. Sci., 14.10.3390/app14083156 ↗
21. Al-Eiadeh, M.R., Qaddoura, R., and Abdallah, M. (2024). Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection. Appl. Sci., 14.10.20944/preprints202405.0441.v1 ↗
22. Liu, Y., Fu, L., Xia, X., and Zhang, Y. (2024). Exploring the Role of Self-Adaptive Feature Words in Relation Quintuple Extraction for Scientific Literature. Appl. Sci., 14.10.3390/app14104020 ↗