A Combination of PSO-Based Feature Selection and Tree-Based Classifiers Ensemble for Intrusion Detection Systems. - Bayu Adhi Tama; Kyung Hyune Rhee (CSA/CUTE, 2015)

Performance Analysis of Multiple Classifier System in DoS Attack Detection. - Bayu Adhi Tama; Kyung Hyune Rhee (WISA, 2015)

Learning to Prevent Inactive Student of Indonesia Open University. - Bayu Adhi Tama (J. Inf. Process. Syst., 2015)

A Fine-Grained Privacy Preserving Protocol over Attribute Based Access Control for VANETs. - Lewis Nkenyereye; Bayu Adhi Tama; Youngho Park 004; Kyung Hyune Rhee (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2015)

Classifier Ensemble Design with Rotation Forest to Enhance Attack Detection of IDS in Wireless Network. - Bayu Adhi Tama; Kyung Hyune Rhee (AsiaJCIS, 2016)

An Improved Model of Anomaly Detection Using Two-Level Classifier Ensemble. - Bayu Adhi Tama; Akash Suresh Patil; Kyung Hyune Rhee (AsiaJCIS, 2017)

A Framework for Blockchain Based Secure Smart Green House Farming. - Akash Suresh Patil; Bayu Adhi Tama; Youngho Park 004; Kyung-Hyune Rhee (CSA/CUTE, 2017)

A Novel Anomaly Detection Method in Wireless Network Using Multi-level Classifier Ensembles. - Bayu Adhi Tama; Kyung-Hyune Rhee (MUE/FutureTech, 2017)

An extensive empirical evaluation of classifier ensembles for intrusion detection task. - Bayu Adhi Tama; Kyung-Hyune Rhee (Comput. Syst. Sci. Eng., 2017)

HFSTE: Hybrid Feature Selections and Tree-Based Classifiers Ensemble for Intrusion Detection System. - Bayu Adhi Tama; Kyung Hyune Rhee (IEICE Trans. Inf. Syst., 2017)

Performance evaluation of intrusion detection system using classifier ensembles. - Bayu Adhi Tama; Kyung Hyune Rhee (Int. J. Internet Protoc. Technol., 2017)

A Detailed Analysis of Classifier Ensembles for Intrusion Detection in Wireless Network. - Bayu Adhi Tama; Kyung Hyune Rhee (J. Inf. Process. Syst., 2017)

A comparative study of classifier ensembles for detecting inactive learner in university. - Bayu Adhi Tama; Kyung-Hyune Rhee (Int. J. Data Anal. Tech. Strateg., 2018)

In-depth analysis of neural network ensembles for early detection method of diabetes disease. - Bayu Adhi Tama; Kyung-Hyune Rhee (Int. J. Medical Eng. Informatics, 2018)

A Comparative Study of Phishing Websites Classification Based on Classifier Ensembles. - Bayu Adhi Tama; Kyung-Hyune Rhee (J. Multim. Inf. Syst., 2018)

A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images. - Woosung Choi; Hyunsuk Huh; Bayu Adhi Tama; Gyusang Park; Seungchul Lee (IEEE Access, 2019)

TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System. - Bayu Adhi Tama; Marco Comuzzi; Kyung-Hyune Rhee (IEEE Access, 2019)

Tree-based classifier ensembles for early detection method of diabetes: an exploratory study. - Bayu Adhi Tama; Kyung-Hyune Rhee (Artif. Intell. Rev., 2019)

An empirical comparison of classification techniques for next event prediction using business process event logs. - Bayu Adhi Tama; Marco Comuzzi (Expert Syst. Appl., 2019)

An in-depth experimental study of anomaly detection using gradient boosted machine. - Bayu Adhi Tama; Kyung-Hyune Rhee (Neural Comput. Appl., 2019)

Seamless Human Impedance-based IoT Authentication with Machine Learning Techniques. - Rin Nadia; Bayu Adhi Tama; JaeSeung Song (ICTC, 2020)

Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process. - Soo Young Lee; Bayu Adhi Tama; Changyun Choi; Jong-Yeon Hwang; Jonggeun Bang; Seungchul Lee (IEEE Access, 2020)

Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps. - Kyung Ho Sun; Hyunsuk Huh; Bayu Adhi Tama; Soo Young Lee; Joon Ha Jung; Seungchul Lee (IEEE Access, 2020)

An Enhanced Anomaly Detection in Web Traffic Using a Stack of Classifier Ensemble. - Bayu Adhi Tama; Lewis Nkenyereye; S. M. Riazul Islam; Kyung-Sup Kwak (IEEE Access, 2020)

Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration. - Lionel Nkenyereye; Lewis Nkenyereye; Bayu Adhi Tama; Alavalapati Goutham Reddy; JaeSeung Song (Sensors, 2020)

Secure and Blockchain-Based Emergency Driven Message Protocol for 5G Enabled Vehicular Edge Computing. - Lewis Nkenyereye; Bayu Adhi Tama; Muhammad Khuram Shahzad; Yoon-Ho Choi (Sensors, 2020)

An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs. - Bayu Adhi Tama; Marco Comuzzi; Jonghyeon Ko (ACM Trans. Intell. Syst. Technol., 2020)

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)

Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation. - Bayu Adhi Tama; Sung Hoon Lim (Comput. Sci. Rev., 2021)

Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection". - Bayu Adhi Tama; Seungchul Lee (Expert Syst. Appl., 2021)

A Systematic Study of Bulletin Board and Its Application. - Misni Harjo Suwito; Bayu Adhi Tama; Bagus Santoso; Sabyasachi Dutta; Haowen Tan; Yoshifumi Ueshige; Kouichi Sakurai (AsiaCCS, 2022)

An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals. - Bayu Adhi Tama; Malinda Vania; Iljung Kim; Sunghoon Lim (IEEE Access, 2022)

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)

Prediction of Football Player Value using Bayesian Ensemble Approach. - Hansoo Lee; Bayu Adhi Tama; Meeyoung Cha (CoRR, 2022)

An improved semantic segmentation with region proposal network for cardiac defect interpretation. - Siti Nurmaini; Bayu Adhi Tama; Muhammad Naufal Rachmatullah; Annisa Darmawahyuni; Ade Iriani Sapitri; Firdaus; Bambang Tutuko (Neural Comput. Appl., 2022)

TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet. - Atefeh Jebeli; Bayu Adhi Tama; Vandana P. Janeja; Nicholas Holschuh; Claire Jensen; Mathieu Morlighem; Joseph A. MacGregor; Mark A. Fahnestock (IGARSS, 2023)

Metrics for the Quality and Consistency of Ice Layer Annotations. - Naomi Tack; Bayu Adhi Tama; Atefeh Jebeli; Vandana P. Janeja; Don Engel; Rebecca Williams (IGARSS, 2023)

Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions. - Malinda Vania; Bayu Adhi Tama; Hasan Maulahela; Sunghoon Lim (IEEE Access, 2023)

Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network. - Bayu Adhi Tama; Jaehong Kim; Jaehyuk Park; Lev Manovich; Meeyoung Cha (CoRR, 2023)

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)

Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals. - Bayu Adhi Tama; Malinda Vania; Seungchul Lee; Sunghoon Lim (Artif. Intell. Rev., 2023)

Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. - Bayu Adhi Tama; Vandana P. Janeja; Sanjay Purushotham (IGARSS, 2024)

Discovery of multi-domain spatiotemporal associations. - Prathamesh Walkikar; Lei Shi; Bayu Adhi Tama; Vandana P. Janeja (GeoInformatica, 2024)

MorphoLayerTrace (MLT): A Modified Automated Radio-Echo Sounding Englacial Layer-tracing Algorithm for Englacial Layer Annotation in Ice Penetrating Radar Data. - Bayu Adhi Tama; Sanjay Purushotham; Vandana P. Janeja (SAC, 2025)

Anomaly Detection Using Graph Deviation Networks Within Spatiotemporal Neighborhoods: A Case Study in Greenland. - Chhaya Kulkarni; Bayu Adhi Tama; Nicole-Jeanne Schlegel; Vandana P. Janeja (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. - Bayu Adhi Tama; Mansa Krishna; Homayra Alam; Mostafa Cham; Omar Faruque; Gong Cheng; Jianwu Wang 001; Mathieu Morlighem; Vandana Pursnani Janeja (CoRR, 2025)