Louk, Maya Hilda Lestari and Tama, Bayu Adhi (2023) Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system. Expert Systems With Applications, 213 (Part B). p. 119030. (In Press)
Louk, Maya Hilda Lestari and Tama, Bayu Adhi (2022) PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection. Big Data and Cognitive Computing, 6 (4). 137/1-13. ISSN 2504-2289
Louk, Maya Hilda Lestari and Tama, Bayu Adhi (2022) Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit. Algorithms, 15 (9). 332_1-15. ISSN 1999-4893
Louk, Maya Hilda Lestari and Tama, Bayu Adhi (2022) Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids. Big Data Cognitive Computing, 6 (2). 41/1-9. ISSN 2504-2289
Louk, Maya Hilda Lestari and Tama, Bayu Adhi (2021) Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks. Big Data and Cognitive Computing, 5 (4). 72/1-11. ISSN 2504-2289