Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study
- Title
- Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study
- Description
- Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022 pp.581-588
- Creator
- Zivkovic M.; Bacanin N.; Rakic A.; Arandjelovic J.; Stanojlovic S.; Venkatachalam K.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147546004&doi=10.1109%2fICAISS55157.2022.10011032&partnerID=40&md5=e5a3da3704751308e52e32b96133300f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147546004&doi=10.1109%2fICAISS55157.2022.10011032&partnerID=40&md5=e5a3da3704751308e52e32b96133300f</a>
- Date
- 2022-01-01
Collection
Citation
Zivkovic M.; Bacanin N.; Rakic A.; Arandjelovic J.; Stanojlovic S.; Venkatachalam K., “Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10522.