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Muhamad Erza Aminanto
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2020 – today
- 2023
- [j5]Sarwono Sutikno
, Septafiansyah Dwi Putra
Detecting Unknown Hardware Trojans in Register Transfer Level Leveraging Verilog Conditional Branching Features. IEEE Access 11: 46073-46083 (2023) - [c12]Bahrul Ilmi Nasution
How Resilient is Privacy-preserving Machine Learning Towards Data-Driven Policy? Jakarta COVID-19 Patient Study Case. ARTMAN@CCS 2023: 5-10 - [c11]Muhammad Cendekia Airlangga, Andi Sulasikin, Yudhistira Nugraha, Nur Laily Romadhotul Husna, Muhamad Erza Aminanto, Fajar Kurniawan, Juan Intan Kanggrawan:
Understanding Citizen Feedback of Jakarta Government Super App: Leveraging Deep Learning Models. ISC2 2023: 1-6 - [c10]Aufa Fadhlurohman, Andi Sulasikin, Yudhistira Nugraha, Nur Laily Romadhotul Husna, Muhamad Erza Aminanto, Juan Intan Kanggrawan:
Development of Indonesian Language Intelligent Chatbot for Public Services in JAKI Application. ISC2 2023: 1-7 - 2022
- [j4]Muhamad Erza Aminanto
Multi-Class Intrusion Detection Using Two-Channel Color Mapping in IEEE 802.11 Wireless Network. IEEE Access 10: 36791-36801 (2022) - [c9]Melva Hilda Stephanie Situmorang
Air Pollution Index (API) Analysis at Jakarta in 2019-2020 using Fuzzy C-Means and Gaussian Mixture Model. IC3INA 2022: 174-178 - [c8]Sheila Maulida Intani, Bahrul Ilmi Nasution
Automating Public Complaint Classification Through JakLapor Channel: A Case Study of Jakarta, Indonesia. ISC2 2022: 1-6 - [c7]Andi Sulasikin, Yudhistira Nugraha, Muhamad Erza Aminanto, Bahrul Ilmi Nasution
Developing a knowledge management system for supporting flood decision-making. ISC2 2022: 1-4 - 2020
- [j3]Muhamad Erza Aminanto
Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder With Day-Forward-Chaining Analysis. IEEE Access 8: 217977-217986 (2020)
2010 – 2019
- 2019
- [c6]Muhamad Erza Aminanto
Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest. ICONIP (1) 2019: 756-765 - [c5]Muhamad Erza Aminanto
Automated Threat-Alert Screening for Battling Alert Fatigue with Temporal Isolation Forest. PST 2019: 1-3 - 2018
- [b1]Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja:
Network Intrusion Detection using Deep Learning - A Feature Learning Approach. Springer 2018, ISBN 978-981-13-1443-8, pp. 1-70 - [j2]Muhamad Erza Aminanto
Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection. IEEE Trans. Inf. Forensics Secur. 13(3): 621-636 (2018) - 2017
- [j1]Muhamad Erza Aminanto
Another Fuzzy Anomaly Detection System Based on Ant Clustering Algorithm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(1): 176-183 (2017) - [c4]Kwangjo Kim, Muhamad Erza Aminanto
Deep learning in intrusion detection perspective: Overview and further challenges. IWBIS 2017: 5-10 - [c3]Muhamad Erza Aminanto
Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier. IWBIS 2017: 99-104 - [c2]Muhamad Erza Aminanto
Improving Detection of Wi-Fi Impersonation by Fully Unsupervised Deep Learning. WISA 2017: 212-223 - 2016
- [c1]Muhamad Erza Aminanto
Detecting Impersonation Attack in WiFi Networks Using Deep Learning Approach. WISA 2016: 136-147
Coauthor Index
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