Kouassi, B.M.; Ballo, A.B.; Ayikpa, K.J.; Mamadou, D.; Coulibaly, M.Z.J.
Top-K Feature Selection for IoT Intrusion Detection: Contributions of XGBoost, LightGBM, and Random Forest. Future Internet 2025, 17, 529.
https://doi.org/10.3390/fi17110529
AMA Style
Kouassi BM, Ballo AB, Ayikpa KJ, Mamadou D, Coulibaly MZJ.
Top-K Feature Selection for IoT Intrusion Detection: Contributions of XGBoost, LightGBM, and Random Forest. Future Internet. 2025; 17(11):529.
https://doi.org/10.3390/fi17110529
Chicago/Turabian Style
Kouassi, Brou Médard, Abou Bakary Ballo, Kacoutchy Jean Ayikpa, Diarra Mamadou, and Minfonga Zié Jérôme Coulibaly.
2025. "Top-K Feature Selection for IoT Intrusion Detection: Contributions of XGBoost, LightGBM, and Random Forest" Future Internet 17, no. 11: 529.
https://doi.org/10.3390/fi17110529
APA Style
Kouassi, B. M., Ballo, A. B., Ayikpa, K. J., Mamadou, D., & Coulibaly, M. Z. J.
(2025). Top-K Feature Selection for IoT Intrusion Detection: Contributions of XGBoost, LightGBM, and Random Forest. Future Internet, 17(11), 529.
https://doi.org/10.3390/fi17110529