An Effective Intrusion Detection System Using Homogeneous Ensemble Techniques

A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine

(2020) Lu Lv et al.   KNOWLEDGE-BASED SYSTEMS

An improved ensemble approach for effective intrusion detection

(2019) Gulshan Kumar   JOURNAL OF SUPERCOMPUTING

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

(2018) Iftikhar Ahmad et al.   IEEE Access

Interference cancellation in cognitive radio-based MC-CDMA system using pre-coding technique

(2018) R. Dhilip Kumar et al.   JOURNAL OF SUPERCOMPUTING

Bagged ensembles with tunable parameters

(2018) Hieu Pham et al.   COMPUTATIONAL INTELLIGENCE

Ensemble feature selection: Homogeneous and heterogeneous approaches

(2017) B. Seijo-Pardo et al.   KNOWLEDGE-BASED SYSTEMS

A novel SVM-kNN-PSO ensemble method for intrusion detection system

(2016) Abdulla Amin Aburomman et al.   APPLIED SOFT COMPUTING

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE