Bayu Adhi Tama

56 papers A 1B 2C 3Misc 2Journal 40Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Anomaly Detection Using Graph Deviation Networks Within Spatiotemporal Neighborhoods: A Case Study in Greenland. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Chhaya Kulkarni, Bayu Adhi Tama, Nicole-Jeanne Schlegel, Vandana P. Janeja
2025	—	`conf`	DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. SIGSPATIAL/GIS Bayu Adhi Tama, Mansa Krishna, Homayra Alam, Mostafa Cham, Omar Faruque, Gong Cheng, Jianwu Wang, Mathieu Morlighem, Vandana P. Janeja
2025	J	`jnl`	DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. CoRR Bayu Adhi Tama, Mansa Krishna, Homayra Alam, Mostafa Cham, Omar Faruque, Gong Cheng, Jianwu Wang, Mathieu Morlighem, Vandana Pursnani Janeja
2025	B	`conf`	Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data. IEEE Big Data Bayu Adhi Tama, Homayra Alam, Mostafa Cham, Omar Faruque, Jianwu Wang, Vandana P. Janeja
2025	J	`jnl`	Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data. CoRR Bayu Adhi Tama, Homayra Alam, Mostafa Cham, Omar Faruque, Jianwu Wang, Vandana P. Janeja
2025	J	`jnl`	Learning Subglacial Bed Topography from Sparse Radar with Physics-Guided Residuals. CoRR Bayu Adhi Tama, Jianwu Wang, Vandana P. Janeja, Mostafa Cham
2025	Misc	`conf`	MorphoLayerTrace (MLT): A Modified Automated Radio-Echo Sounding Englacial Layer-tracing Algorithm for Englacial Layer Annotation in Ice Penetrating Radar Data. SAC Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja
2025	B	`conf`	Scalable Deep Learning for Greenland Ice Bed Topography Prediction. IEEE Big Data Homayra Alam, Bayu Adhi Tama, Sikan Li, Mostafa Cham, Omar Faruque, Jianwu Wang
2025	—	`conf`	XCheck: A Consistency-Based Validation Framework for Englacial Layers Annotations. ICDM (Workshops) Muhammad Behroze Hassan, Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja
2024	C	`conf`	Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. IGARSS Bayu Adhi Tama, Vandana P. Janeja, Sanjay Purushotham
2024	J	`jnl`	Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. CoRR Bayu Adhi Tama, Vandana Pursnani Janeja, Sanjay Purushotham
2024	J	`jnl`	Discovery of multi-domain spatiotemporal associations. GeoInformatica Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana P. Janeja
2023	J	`jnl`	Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system. Expert Syst. Appl. Maya Hilda Lestari Louk, Bayu Adhi Tama
2023	C	`conf`	Metrics for the Quality and Consistency of Ice Layer Annotations. IGARSS Naomi Tack, Bayu Adhi Tama, Atefeh Jebeli, Vandana P. Janeja, Don Engel, Rebecca M. Williams
2023	J	`jnl`	Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network. CoRR Bayu Adhi Tama, Jaehong Kim, Jaehyuk Park, Lev Manovich, Meeyoung Cha
2023	J	`jnl`	Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions. IEEE Access Malinda Vania, Bayu Adhi Tama, Hasan Maulahela, Sunghoon Lim
2023	J	`jnl`	Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals. Artif. Intell. Rev. Bayu Adhi Tama, Malinda Vania, Seungchul Lee, Sunghoon Lim
2023	C	`conf`	TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet. IGARSS Atefeh Jebeli, Bayu Adhi Tama, Vandana P. Janeja, Nicholas Holschuh, Claire Jensen, Mathieu Morlighem, Joseph A. MacGregor, Mark A. Fahnestock
2022	A	`conf`	A Systematic Study of Bulletin Board and Its Application. AsiaCCS Misni Harjo Suwito, Bayu Adhi Tama, Bagus Santoso, Sabyasachi Dutta, Haowen Tan, Yoshifumi Ueshige, Kouichi Sakurai
2022	J	`jnl`	An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals. IEEE Access Bayu Adhi Tama, Malinda Vania, Iljung Kim, Sunghoon Lim
2022	J	`jnl`	An improved semantic segmentation with region proposal network for cardiac defect interpretation. Neural Comput. Appl. Siti Nurmaini, Bayu Adhi Tama, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Ade Iriani Sapitri, Firdaus, Bambang Tutuko
2022	J	`jnl`	PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection. Big Data Cogn. Comput. Maya Hilda Lestari Louk, Bayu Adhi Tama
2022	J	`jnl`	Prediction of Football Player Value using Bayesian Ensemble Approach. CoRR Hansoo Lee, Bayu Adhi Tama, Meeyoung Cha
2022	J	`jnl`	Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids. Big Data Cogn. Comput. Maya Hilda Lestari Louk, Bayu Adhi Tama
2022	J	`jnl`	Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit. Algorithms Maya Hilda Lestari Louk, Bayu Adhi Tama
2021	J	`jnl`	Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection". Expert Syst. Appl. Bayu Adhi Tama, Seungchul Lee
2021	J	`jnl`	Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation. Comput. Sci. Rev. Bayu Adhi Tama, Sung Hoon Lim
2021	J	`jnl`	Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks. Big Data Cogn. Comput. Maya Hilda Lestari Louk, Bayu Adhi Tama
2020	J	`jnl`	An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs. ACM Trans. Intell. Syst. Technol. Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko
2020	J	`jnl`	An Enhanced Anomaly Detection in Web Traffic Using a Stack of Classifier Ensemble. IEEE Access Bayu Adhi Tama, Lewis Nkenyereye, S. M. Riazul Islam, Kyung-Sup Kwak
2020	J	`jnl`	An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs. CoRR Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko
2020	—	`conf`	Seamless Human Impedance-based IoT Authentication with Machine Learning Techniques. ICTC Rin Nadia, Bayu Adhi Tama, JaeSeung Song
2020	J	`jnl`	Secure and Blockchain-Based Emergency Driven Message Protocol for 5G Enabled Vehicular Edge Computing. Sensors Lewis Nkenyereye, Bayu Adhi Tama, Muhammad Khuram Shahzad, Yoon-Ho Choi
2020	J	`jnl`	Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration. Sensors Lionel Nkenyereye, Lewis Nkenyereye, Bayu Adhi Tama, Alavalapati Goutham Reddy, JaeSeung Song
2020	J	`jnl`	Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process. IEEE Access Soo Young Lee, Bayu Adhi Tama, Changyun Choi, Jong-Yeon Hwang, Jonggeun Bang, Seungchul Lee
2020	J	`jnl`	Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps. IEEE Access Kyung Ho Sun, Hyunsuk Huh, Bayu Adhi Tama, Soo Young Lee, Joon Ha Jung, Seungchul Lee
2019	J	`jnl`	A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images. IEEE Access Woosung Choi, Hyunsuk Huh, Bayu Adhi Tama, Gyusang Park, Seungchul Lee
2019	J	`jnl`	An empirical comparison of classification techniques for next event prediction using business process event logs. Expert Syst. Appl. Bayu Adhi Tama, Marco Comuzzi
2019	J	`jnl`	An in-depth experimental study of anomaly detection using gradient boosted machine. Neural Comput. Appl. Bayu Adhi Tama, Kyung-Hyune Rhee
2019	J	`jnl`	TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System. IEEE Access Bayu Adhi Tama, Marco Comuzzi, Kyung-Hyune Rhee
2019	J	`jnl`	Tree-based classifier ensembles for early detection method of diabetes: an exploratory study. Artif. Intell. Rev. Bayu Adhi Tama, Kyung-Hyune Rhee
2018	J	`jnl`	A Comparative Study of Phishing Websites Classification Based on Classifier Ensembles. J. Multim. Inf. Syst. Bayu Adhi Tama, Kyung-Hyune Rhee
2018	J	`jnl`	A comparative study of classifier ensembles for detecting inactive learner in university. Int. J. Data Anal. Tech. Strateg. Bayu Adhi Tama, Kyung-Hyune Rhee
2018	J	`jnl`	In-depth analysis of neural network ensembles for early detection method of diabetes disease. Int. J. Medical Eng. Informatics Bayu Adhi Tama, Kyung-Hyune Rhee
2017	J	`jnl`	A Detailed Analysis of Classifier Ensembles for Intrusion Detection in Wireless Network. J. Inf. Process. Syst. Bayu Adhi Tama, Kyung Hyune Rhee
2017	—	`conf`	A Framework for Blockchain Based Secure Smart Green House Farming. CSA/CUTE Akash Suresh Patil, Bayu Adhi Tama, Youngho Park, Kyung-Hyune Rhee
2017	—	`conf`	A Novel Anomaly Detection Method in Wireless Network Using Multi-level Classifier Ensembles. MUE/FutureTech Bayu Adhi Tama, Kyung-Hyune Rhee
2017	—	`conf`	An Improved Model of Anomaly Detection Using Two-Level Classifier Ensemble. AsiaJCIS Bayu Adhi Tama, Akash Suresh Patil, Kyung Hyune Rhee
2017	J	`jnl`	An extensive empirical evaluation of classifier ensembles for intrusion detection task. Comput. Syst. Sci. Eng. Bayu Adhi Tama, Kyung-Hyune Rhee
2017	J	`jnl`	HFSTE: Hybrid Feature Selections and Tree-Based Classifiers Ensemble for Intrusion Detection System. IEICE Trans. Inf. Syst. Bayu Adhi Tama, Kyung Hyune Rhee
2017	J	`jnl`	Performance evaluation of intrusion detection system using classifier ensembles. Int. J. Internet Protoc. Technol. Bayu Adhi Tama, Kyung Hyune Rhee
2016	—	`conf`	Classifier Ensemble Design with Rotation Forest to Enhance Attack Detection of IDS in Wireless Network. AsiaJCIS Bayu Adhi Tama, Kyung Hyune Rhee
2015	—	`conf`	A Combination of PSO-Based Feature Selection and Tree-Based Classifiers Ensemble for Intrusion Detection Systems. CSA/CUTE Bayu Adhi Tama, Kyung Hyune Rhee
2015	J	`jnl`	A Fine-Grained Privacy Preserving Protocol over Attribute Based Access Control for VANETs. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. Lewis Nkenyereye, Bayu Adhi Tama, Youngho Park, Kyung Hyune Rhee
2015	J	`jnl`	Learning to Prevent Inactive Student of Indonesia Open University. J. Inf. Process. Syst. Bayu Adhi Tama
2015	Misc	`conf`	Performance Analysis of Multiple Classifier System in DoS Attack Detection. WISA Bayu Adhi Tama, Kyung Hyune Rhee