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Bayu Adhi Tama
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2020 – today
- 2024
- [j32]Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana P. Janeja
:
Discovery of multi-domain spatiotemporal associations. GeoInformatica 28(3): 353-379 (2024) - [c11]Bayu Adhi Tama, Vandana P. Janeja, Sanjay Purushotham:
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. IGARSS 2024: 7572-7575 - [i4]Bayu Adhi Tama, Vandana Pursnani Janeja, Sanjay Purushotham:
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. CoRR abs/2407.09535 (2024) - 2023
- [j31]Malinda Vania
Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions. IEEE Access 11: 66544-66567 (2023) - [j30]Bayu Adhi Tama
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals. Artif. Intell. Rev. 56(5): 4667-4709 (2023) - [j29]Maya Hilda Lestari Louk
Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system. Expert Syst. Appl. 213(Part): 119030 (2023) - [c10]Atefeh Jebeli, Bayu Adhi Tama, Vandana P. Janeja, Nicholas Holschuh, Claire Jensen, Mathieu Morlighem, Joseph A. MacGregor, Mark A. Fahnestock:
TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet. IGARSS 2023: 56-59 - [c9]Naomi Tack, Bayu Adhi Tama, Atefeh Jebeli, Vandana P. Janeja, Don Engel
Metrics for the Quality and Consistency of Ice Layer Annotations. IGARSS 2023: 4935-4938 - [i3]Bayu Adhi Tama, Jaehong Kim, Jaehyuk Park, Lev Manovich, Meeyoung Cha:
Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network. CoRR abs/2306.06176 (2023) - 2022
- [j28]Bayu Adhi Tama
An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals. IEEE Access 10: 34625-34636 (2022) - [j27]Maya Hilda Lestari Louk
Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit. Algorithms 15(9): 332 (2022) - [j26]Maya Hilda Lestari Louk
Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids. Big Data Cogn. Comput. 6(2): 41 (2022) - [j25]Maya Hilda Lestari Louk
PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection. Big Data Cogn. Comput. 6(4): 137 (2022) - [j24]Siti Nurmaini
An improved semantic segmentation with region proposal network for cardiac defect interpretation. Neural Comput. Appl. 34(16): 13937-13950 (2022) - [c8]Misni Harjo Suwito, Bayu Adhi Tama, Bagus Santoso, Sabyasachi Dutta
A Systematic Study of Bulletin Board and Its Application. AsiaCCS 2022: 1213-1215 - [i2]Hansoo Lee, Bayu Adhi Tama, Meeyoung Cha
Prediction of Football Player Value using Bayesian Ensemble Approach. CoRR abs/2206.13246 (2022) - 2021
- [j23]Maya Hilda Lestari Louk
Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks. Big Data Cogn. Comput. 5(4): 72 (2021) - [j22]Bayu Adhi Tama
Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation. Comput. Sci. Rev. 39: 100357 (2021) - [j21]Bayu Adhi Tama
Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection". Expert Syst. Appl. 184: 115488 (2021) - 2020
- [j20]Soo Young Lee
Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process. IEEE Access 8: 21953-21965 (2020) - [j19]Bayu Adhi Tama
An Enhanced Anomaly Detection in Web Traffic Using a Stack of Classifier Ensemble. IEEE Access 8: 24120-24134 (2020) - [j18]Kyung Ho Sun
Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps. IEEE Access 8: 129169-129179 (2020) - [j17]Lewis Nkenyereye
Secure and Blockchain-Based Emergency Driven Message Protocol for 5G Enabled Vehicular Edge Computing. Sensors 20(1): 154 (2020) - [j16]Lionel Nkenyereye
Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration. Sensors 20(4): 1092 (2020) - [j15]Bayu Adhi Tama
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs. ACM Trans. Intell. Syst. Technol. 11(6): 68:1-68:34 (2020) - [c7]Rin Nadia, Bayu Adhi Tama
Seamless Human Impedance-based IoT Authentication with Machine Learning Techniques. ICTC 2020: 339-343 - [i1]Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko:
An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs. CoRR abs/2008.10748 (2020)
2010 – 2019
- 2019
- [j14]Woosung Choi
A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images. IEEE Access 7: 92151-92160 (2019) - [j13]Bayu Adhi Tama
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System. IEEE Access 7: 94497-94507 (2019) - [j12]Bayu Adhi Tama
Tree-based classifier ensembles for early detection method of diabetes: an exploratory study. Artif. Intell. Rev. 51(3): 355-370 (2019) - [j11]Bayu Adhi Tama
An empirical comparison of classification techniques for next event prediction using business process event logs. Expert Syst. Appl. 129: 233-245 (2019) - [j10]Bayu Adhi Tama
An in-depth experimental study of anomaly detection using gradient boosted machine. Neural Comput. Appl. 31(4): 955-965 (2019) - 2018
- [j9]Bayu Adhi Tama, Kyung-Hyune Rhee:
A comparative study of classifier ensembles for detecting inactive learner in university. Int. J. Data Anal. Tech. Strateg. 10(4): 351-368 (2018) - [j8]Bayu Adhi Tama, Kyung-Hyune Rhee:
In-depth analysis of neural network ensembles for early detection method of diabetes disease. Int. J. Medical Eng. Informatics 10(4): 327-341 (2018) - [j7]Bayu Adhi Tama, Kyung-Hyune Rhee:
A Comparative Study of Phishing Websites Classification Based on Classifier Ensembles. J. Multim. Inf. Syst. 5(2): 99-104 (2018) - 2017
- [j6]Bayu Adhi Tama, Kyung-Hyune Rhee:
An extensive empirical evaluation of classifier ensembles for intrusion detection task. Comput. Syst. Sci. Eng. 32(2) (2017) - [j5]Bayu Adhi Tama
HFSTE: Hybrid Feature Selections and Tree-Based Classifiers Ensemble for Intrusion Detection System. IEICE Trans. Inf. Syst. 100-D(8): 1729-1737 (2017) - [j4]Bayu Adhi Tama, Kyung Hyune Rhee:
Performance evaluation of intrusion detection system using classifier ensembles. Int. J. Internet Protoc. Technol. 10(1): 22-29 (2017) - [j3]Bayu Adhi Tama
A Detailed Analysis of Classifier Ensembles for Intrusion Detection in Wireless Network. J. Inf. Process. Syst. 13(5): 1203-1212 (2017) - [c6]Bayu Adhi Tama
An Improved Model of Anomaly Detection Using Two-Level Classifier Ensemble. AsiaJCIS 2017: 1-4 - [c5]Akash Suresh Patil, Bayu Adhi Tama
A Framework for Blockchain Based Secure Smart Green House Farming. CSA/CUTE 2017: 1162-1167 - [c4]Bayu Adhi Tama
A Novel Anomaly Detection Method in Wireless Network Using Multi-level Classifier Ensembles. MUE/FutureTech 2017: 452-458 - 2016
- [c3]Bayu Adhi Tama
Classifier Ensemble Design with Rotation Forest to Enhance Attack Detection of IDS in Wireless Network. AsiaJCIS 2016: 87-91 - 2015
- [j2]Bayu Adhi Tama
Learning to Prevent Inactive Student of Indonesia Open University. J. Inf. Process. Syst. 11(2): 165-172 (2015) - [j1]Lewis Nkenyereye, Bayu Adhi Tama, Youngho Park, Kyung Hyune Rhee:
A Fine-Grained Privacy Preserving Protocol over Attribute Based Access Control for VANETs. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 6(2): 98-112 (2015) - [c2]Bayu Adhi Tama
A Combination of PSO-Based Feature Selection and Tree-Based Classifiers Ensemble for Intrusion Detection Systems. CSA/CUTE 2015: 489-495 - [c1]Bayu Adhi Tama
Performance Analysis of Multiple Classifier System in DoS Attack Detection. WISA 2015: 339-347
Coauthor Index
aka: Kyung-Hyune Rhee
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last updated on 2024-10-07 22:23 CEST by the dblp team
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