A Hybrid Correlation-PSO Feature Selection Framework with Extreme Learning Machines for High-Accuracy Cancer Classification in Microarray Data

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A Hybrid Correlation-PSO Feature Selection Framework with Extreme Learning Machines for High-Accuracy Cancer Classification in Microarray Data
Συγγραφείς: Ali, Md. Anwar, Devasani, Vaishnapallavi, Vardhan, Soma Harsha, Reethu, Golla, Vishnu, Gotrala
Πηγή: 2026 International Conference on Visual Analytics and Data Visualization (ICVADV) Visual Analytics and Data Visualization (ICVADV), 2026 International Conference on. :717-722 Feb, 2026
Relation: 2026 International Conference on Visual Analytics and Data Visualization (ICVADV)
Βάση Δεδομένων: IEEE Xplore Digital Library