Bayu Adhi Tama

发表

A Novel Anomaly Detection Method in Wireless Network Using Multi-level Classifier Ensembles

Bayu Adhi Tama, Kyung-Hyune Rhee, K. Rhee, 2017, MUE/FutureTech.

IMPLEMENTASI TEKNIK DATA MINING DIDALAM ANALISIS PENYAKITDIABETES MELLITUS TIPE II MENGGUNAKAN DECISION TREE

Bayu Adhi Tama, S. RodiyatulFitri, S. RodiyatulFitri, 2009 .

An in-depth experimental study of anomaly detection using gradient boosted machine

Bayu Adhi Tama, Kyung-Hyune Rhee, K. Rhee, 2017, Neural Computing and Applications.

Implementation of regular expression (regex) on knowledge management system

Bayu Adhi Tama, Ken Ditha Tania, 2017, 2017 International Conference on Data and Software Engineering (ICoDSE).

An Enhanced Anomaly Detection in Web Traffic Using a Stack of Classifier Ensemble

Bayu Adhi Tama, Lewis Nkenyereye, Kyung-Sup Kwak, 2020, IEEE Access.

Secure and Blockchain-Based Emergency Driven Message Protocol for 5G Enabled Vehicular Edge Computing

Bayu Adhi Tama, Lewis Nkenyereye, Muhammad K. Shahzad, 2019, Sensors.

Anomaly detection using random forest: A performance revisited

Bayu Adhi Tama, Rifkie Primartha, Rifkie Primartha, 2017, 2017 International Conference on Data and Software Engineering (ICoDSE).

STRATEGI PEMILIHAN KONTRAKTOR PERANGKAT LUNAK DENGAN MEMANFAATKAN PENGETAHUAN TERHADAP CAPABILITY MATURITY MODEL INTEGRATION FOR DEVELOPMENT (CMMI FOR DEV)

Bayu Adhi Tama, Indra Silanegara, 2009 .

Analisis Kepuasan Konsumen Terhadap Restoran Cepat Saji Melalui Pendekatan Data Mining: Studi Kasus XYZ

Bayu Adhi Tama, Vina Mandasari, Bayu Adhi Tama, 2013 .

Performance Analysis of Multiple Classifier System in DoS Attack Detection

Bayu Adhi Tama, Kyung Hyune Rhee, K. Rhee, 2015, WISA.

Decision tree combined with PSO-based feature selection for sentiment analysis

Bayu Adhi Tama, Kanda Januar Miraswan, Rifkie Primartha, 2019, Journal of Physics: Conference Series.

Tree-based classifier ensembles for early detection method of diabetes: an exploratory study

Bayu Adhi Tama, Kyung-Hyune Rhee, K. Rhee, 2019, Artificial Intelligence Review.

Reliability-Enhanced Camera Lens Module Classification Using Semi-Supervised Regression Method

Bayu Adhi Tama, Seungchul Lee, Sung Kim, 2020, Applied Sciences.

Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process

Seungchul Lee, Bayu Adhi Tama, Soo Young Lee, 2020, IEEE Access.

Learning to Prevent Inactive Student of Indonesia Open University

Bayu Adhi Tama, B. Tama, 2015, J. Inf. Process. Syst..

A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems

Bayu Adhi Tama, Sunghoon Lim, 2020 .

HFSTE: Hybrid Feature Selections and Tree-Based Classifiers Ensemble for Intrusion Detection System

Bayu Adhi Tama, Kyung Hyune Rhee, K. Rhee, 2017, IEICE Trans. Inf. Syst..

A Combination of PSO-Based Feature Selection and Tree-Based Classifiers Ensemble for Intrusion Detection Systems

Bayu Adhi Tama, Kyung Hyune Rhee, K. Rhee, 2015, CSA/CUTE.

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, 2020, ACM Trans. Intell. Syst. Technol..

Strategi Pemilihan Kontraktor Perangkat Lunak Dengan Memanfaatkan Pengetahuan Terhadap Capability Maturity Model for Development

Bayu Adhi Tama, Indra Silanegara, 2009 .

A Detailed Analysis of Classifier Ensembles for Intrusion Detection in Wireless Network

Bayu Adhi Tama, Kyung Hyune Rhee, K. Rhee, 2017, J. Inf. Process. Syst..

A comparative study of classifier ensembles for detecting inactive learner in university

Bayu Adhi Tama, Kyung-Hyune Rhee, 2018, Int. J. Data Anal. Tech. Strateg..

Temperature Control Optimization in a Steel‐Making Continuous Casting Process Using a Multimodal Deep Learning Approach

Seungchul Lee, Bayu Adhi Tama, Seong Jin Park, 2019, steel research international.

A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images

Seungchul Lee, Bayu Adhi Tama, Woosung Choi, 2019, IEEE Access.

In-depth analysis of neural network ensembles for early detection method of diabetes disease

Bayu Adhi Tama, Kyung-Hyune Rhee, 2018, Int. J. Medical Eng. Informatics.

Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble

Seungchul Lee, Bayu Adhi Tama, Sun Im, 2020, BioMed research international.

Introduction to Data Mining

Bayu Adhi Tama, 2010 .

Cross-Selling: Perangkat Utama Customer Relationship Management (CRM) Untuk Meningkatkan Loyalitas Pelanggan

Bayu Adhi Tama, 2012 .

Implementasi Teknik Data Mining di Dalam Konsep Customer Relationship Management

Bayu Adhi Tama, 2009 .

Rancang Bangun Data Warehouse Untuk Menunjang Evaluasi Akademik Di Fakultas

Bayu Adhi Tama, Mukhlis Febriady, 2011 .

An empirical comparison of classification techniques for next event prediction using business process event logs

Bayu Adhi Tama, Marco Comuzzi, M. Comuzzi, 2019, Expert Syst. Appl..

A Study about Principle Component Analysis and Eigenface for Facial Extraction

Bayu Adhi Tama, Muhammad Fachrurrozi, Erwin, 2019 .

A Comparative Study of Phishing Websites Classification Based on Classifier Ensembles

Bayu Adhi Tama, Kyung-Hyune Rhee, Kyung-Hyune Rhee, 2018, J. Multim. Inf. Syst..

Penetapan Strategi Penjualan Menggunakan Association Rules dalam Konteks CRM

Bayu Adhi Tama, 2010 .

Classifier Ensemble Design with Rotation Forest to Enhance Attack Detection of IDS in Wireless Network

Bayu Adhi Tama, Kyung Hyune Rhee, K. Rhee, 2016, 2016 11th Asia Joint Conference on Information Security (AsiaJCIS).

Data Mining Techniques in DoS/DDoS Attack Detection: A Literature Review

Bayu Adhi Tama, Kyung-Hyune Rhee, K. Rhee, 2015 .

Detection of Type 2 Diabetes Mellitus Disease with Data Mining Approach Using Support Vector Machine

Bayu Adhi Tama, 2010 .

TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System

Bayu Adhi Tama, Kyung-Hyune Rhee, Marco Comuzzi, 2019, IEEE Access.

A comparative study of classifier ensembles for detecting inactive learner in university

Bayu Adhi Tama, Kyung Hyune Rhee, 2018 .

An Improved Model of Anomaly Detection Using Two-Level Classifier Ensemble

Bayu Adhi Tama, Kyung Hyune Rhee, Akash Suresh Patil, 2017, 2017 12th Asia Joint Conference on Information Security (AsiaJCIS).

Cross-Selling's Product Determination in the Context of Analytical CRM Based on Association Rules

Eko K. Budiardjo, Bayu Adhi Tama, 2009 .

Performance evaluation of intrusion detection system using classifier ensembles

Bayu Adhi Tama, Kyung Hyune Rhee, K. Rhee, 2017, Int. J. Internet Protoc. Technol..

A Fine-Grained Privacy Preserving Protocol over Attribute Based Access Control for VANETs

Bayu Adhi Tama, Youngho Park, Kyung Hyune Rhee, 2015, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

An extensive empirical evaluation of classifier ensembles for intrusion detection task

Bayu Adhi Tama, Kyung-Hyune Rhee, K. Rhee, 2017, Comput. Syst. Sci. Eng..

Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration

Bayu Adhi Tama, Lionel Nkenyereye, Lewis Nkenyereye, 2020, Sensors.

Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps

Seungchul Lee, Bayu Adhi Tama, Kyung Ho Sun, 2020, IEEE Access.

Analisis Kepuasan Konsumen Terhadap Restoran Cepat Saji Melalui Pendekatan Data Mining

Bayu Adhi Tama, Vina Mandasari, 2011 .

A Stacking-based Deep Neural Network Approach for Effective Network Anomaly Detection

Bayu Adhi Tama, Lewis Nkenyereye, Sunghoon Lim, 2021 .

A Framework for Blockchain Based Secure Smart Green House Farming

Bayu Adhi Tama, Kyung-Hyune Rhee, Young-Ho Park, 2017, CSA/CUTE.

Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection"

Bayu Adhi Tama, Seungchul Lee, 2021, Expert Syst. Appl..

Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation

Bayu Adhi Tama, Sunghoon Lim, B. Tama, 2021, Comput. Sci. Rev..

Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks

Bayu Adhi Tama, Maya Hilda Lestari Louk, B. Tama, 2021, Big Data Cogn. Comput..

Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery

Bayu Adhi Tama, Seungchul Lee, D. H. Kim, 2020, Clinical and experimental otorhinolaryngology.

An Early Detection Method of Type-2 Diabetes Mellitus in Public Hospital

Bayu Adhi Tama, H. Hermansyah, F. Rodiyatul, 2011 .

An Integration of PSO-based Feature Selection and Random Forest for Anomaly Detection in IoT Network

Bayu Adhi Tama, K. Rhee, 2018 .

Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network

Bayu Adhi Tama, Myung-Gyu Choi, H. Lee, 2020, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.

DATA MINING FOR PREDICTING CUSTOMER SATISFACTION IN FAST-FOOD

Bayu Adhi Tama, 2015 .

A critical review of blockchain and its current applications

Bayu Adhi Tama, Bruno Joachim Kweka, K. Rhee, 2017, 2017 International Conference on Electrical Engineering and Computer Science (ICECOS).

Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit

Bayu Adhi Tama, Maya Hilda Lestari Louk, M. Louk, 2022, Algorithms.

Steel Surface Defect Diagnostics Using Deep Convolutional Neural Network and Class Activation Map

Bayu Adhi Tama, Soo Young Lee, Seungchul Lee, 2019, Applied Sciences.

A Systematic Mapping Study and Empirical Comparison of Data-Driven Intrusion Detection Techniques in Industrial Control Networks

Bayu Adhi Tama, Soo Young Lee, Seungchul Lee, 2022, Archives of Computational Methods in Engineering.

An Integration of PSO-based Feature Selection and Random Forest for Anomaly Detection in IoT Network

Bayu Adhi Tama, K. Rhee, B. Tama, 2018 .

Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system

Bayu Adhi Tama, Maya Hilda Lestari Louk, B. Tama, 2022, Expert Syst. Appl..

Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals

Bayu Adhi Tama, Seungchul Lee, B. Tama, 2022, Artificial Intelligence Review.

An EfficientNet-based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals

Bayu Adhi Tama, B. Tama, Malinda Vania, 2022, IEEE Access.

Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions

Bayu Adhi Tama, Sungsu Lim, H. Maulahela, 2023, IEEE Access.

Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network

Bayu Adhi Tama, M. Cha, Jaehyuk Park, 2023, ArXiv.

An in-depth experimental study of anomaly detection using gradient boosted machine

Bayu Adhi Tama, K. Rhee, B. Tama, 2019, Neural Computing and Applications.

Leveraging a Heterogeneous Ensemble Learning for Outcome-Based Predictive Monitoring Using Business Process Event Logs

Bayu Adhi Tama, M. Comuzzi, 2022, Electronics.

PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection

Bayu Adhi Tama, Maya Hilda Lestari Louk, B. Tama, 2022, Big Data Cogn. Comput..

An improved semantic segmentation with region proposal network for cardiac defect interpretation

Bayu Adhi Tama, Ade Iriani Sapitri, M. N. Rachmatullah, 2022, Neural Computing and Applications.

Performance evaluation of intrusion detection system using classifier ensembles

Bayu Adhi Tama, K. Rhee, 2017, Int. J. Internet Protoc. Technol..

Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids

Bayu Adhi Tama, Maya Hilda Lestari Louk, B. Tama, 2022, Big Data Cogn. Comput..

A Systematic Study of Bulletin Board and Its Application

Bayu Adhi Tama, K. Sakurai, Yoshifumi Ueshige, 2022, AsiaCCS.