Bayu Adhi Tama
Orcid: 0000-0002-1821-6438
According to our database1,
Bayu Adhi Tama
authored at least 43 papers
between 2015 and 2023.
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Bibliography
2023
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals.
Artif. Intell. Rev., May, 2023
Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system.
Expert Syst. Appl., 2023
CoRR, 2023
Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions.
IEEE Access, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
An improved semantic segmentation with region proposal network for cardiac defect interpretation.
Neural Comput. Appl., 2022
Big Data Cogn. Comput., 2022
Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids.
Big Data Cogn. Comput., 2022
Algorithms, 2022
An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals.
IEEE Access, 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
2021
Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection".
Expert Syst. Appl., 2021
Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation.
Comput. Sci. Rev., 2021
Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks.
Big Data Cogn. Comput., 2021
2020
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs.
ACM Trans. Intell. Syst. Technol., 2020
Secure and Blockchain-Based Emergency Driven Message Protocol for 5G Enabled Vehicular Edge Computing.
Sensors, 2020
Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration.
Sensors, 2020
IEEE Access, 2020
Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps.
IEEE Access, 2020
Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process.
IEEE Access, 2020
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
2019
Neural Comput. Appl., 2019
An empirical comparison of classification techniques for next event prediction using business process event logs.
Expert Syst. Appl., 2019
Tree-based classifier ensembles for early detection method of diabetes: an exploratory study.
Artif. Intell. Rev., 2019
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System.
IEEE Access, 2019
A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images.
IEEE Access, 2019
2018
A Comparative Study of Phishing Websites Classification Based on Classifier Ensembles.
J. Multim. Inf. Syst., 2018
In-depth analysis of neural network ensembles for early detection method of diabetes disease.
Int. J. Medical Eng. Informatics, 2018
A comparative study of classifier ensembles for detecting inactive learner in university.
Int. J. Data Anal. Tech. Strateg., 2018
2017
A Detailed Analysis of Classifier Ensembles for Intrusion Detection in Wireless Network.
J. Inf. Process. Syst., 2017
Int. J. Internet Protoc. Technol., 2017
HFSTE: Hybrid Feature Selections and Tree-Based Classifiers Ensemble for Intrusion Detection System.
IEICE Trans. Inf. Syst., 2017
An extensive empirical evaluation of classifier ensembles for intrusion detection task.
Comput. Syst. Sci. Eng., 2017
A Novel Anomaly Detection Method in Wireless Network Using Multi-level Classifier Ensembles.
Proceedings of the Advanced Multimedia and Ubiquitous Engineering, 2017
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017
Proceedings of the 12th Asia Joint Conference on Information Security, 2017
2016
Classifier Ensemble Design with Rotation Forest to Enhance Attack Detection of IDS in Wireless Network.
Proceedings of the 11th Asia Joint Conference on Information Security, 2016
2015
A Fine-Grained Privacy Preserving Protocol over Attribute Based Access Control for VANETs.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2015
J. Inf. Process. Syst., 2015
Proceedings of the Information Security Applications - 16th International Workshop, 2015
A Combination of PSO-Based Feature Selection and Tree-Based Classifiers Ensemble for Intrusion Detection Systems.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2015