Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks. - Maya Hilda Lestari Louk; Bayu Adhi Tama (Big Data Cogn. Comput., 2021)

Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit. - Maya Hilda Lestari Louk; Bayu Adhi Tama (Algorithms, 2022)

Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids. - Maya Hilda Lestari Louk; Bayu Adhi Tama (Big Data Cogn. Comput., 2022)

PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection. - Maya Hilda Lestari Louk; Bayu Adhi Tama (Big Data Cogn. Comput., 2022)

Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system. - Maya Hilda Lestari Louk; Bayu Adhi Tama (Expert Syst. Appl., 2023)