Maya Hilda Lestari Louk

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Gradient Boosting

Wrapper Feature Selection

Classifier Ensemble

Base Classifiers

Top Venues

Big Data Cogn. Comput.

Expert Syst. Appl.

Publications

Maya Hilda Lestari Louk, Bayu Adhi Tama
Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system. Expert Syst. Appl. 213 (Part) (2023)
Maya Hilda Lestari Louk, Bayu Adhi Tama
Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit. Algorithms 15 (9) (2022)
Maya Hilda Lestari Louk, Bayu Adhi Tama
Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids. Big Data Cogn. Comput. 6 (2) (2022)
Maya Hilda Lestari Louk, Bayu Adhi Tama
PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection. Big Data Cogn. Comput. 6 (4) (2022)
Maya Hilda Lestari Louk, Bayu Adhi Tama
Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks. Big Data Cogn. Comput. 5 (4) (2021)