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Implementation of Boruta for Feature Selection in the Detection of Schizophrenia Using Spectral and Connectivity EEG Features: A Machine Learning Approach

Title: Implementation of Boruta for Feature Selection in the Detection of Schizophrenia Using Spectral and Connectivity EEG Features: A Machine Learning Approach
Authors: Salas-Rodriguez, L. RafaelAff12; Alcalá-Rmz, VanessaAff12; Villagrana-Bañuelos, Karen E.Aff12; Villanueva-Maldonado, JuvenalAff12; Soto-Murillo, Manuel A.Aff12
Contributors: Kacprzyk, Janusz, Series EditorAff1; Gomide, Fernando, Advisory EditorAff2; Kaynak, Okyay, Advisory EditorAff3; Liu, Derong, Advisory EditorAff4; Pedrycz, Witold, Advisory EditorAff5; Polycarpou, Marios M., Advisory EditorAff6; Rudas, Imre J., Advisory EditorAff7; Wang, Jun, Advisory EditorAff8; Bravo, José, editorAff9; Fontecha, Jesús, editorAff10; Ballesteros, Joaquín, editorAff11
Source: Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2025), Volume 1. 1818:112-123
Database: Springer Nature eBooks