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2020 – today
- 2024
[i3]Dogukan Aksu, Ismail Hakki Toroslu, Hasan Davulcu:
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction. CoRR abs/2409.08703 (2024)- 2023
- [c4]Murat Bayraktar, Fatma Ceyda Gökce, Dogukan Aksu, Ismail Sengor Altingovde, Pinar Karagoz, Ismail Hakki Toroslu:
Fusion Enhanced Click-Through-Rate Prediction. SIU 2023: 1-4 - 2022
- [b1]Dogukan Aksu:
Otonom araçlar için makine öğrenmesi teknikleri kullanılarak saldırı tespit sistemi geliştirilmesi (Development of intrusion detection system by using machine learning techniques for autonomous vehicles). İstanbul University-Cerrahpaşa, Turkey, 2022 - [j1]Dogukan Aksu
, Muhammed Ali Aydin:
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach. Comput. Secur. 118: 102717 (2022) - [i2]A. Huzeyfe Demir, Berke Yavas, Mehmet Yazici, Dogukan Aksu, M. Ali Aydin:
Object Detection and Tracking with Autonomous UAV. CoRR abs/2206.12941 (2022)
2010 – 2019
- 2019
- [c3]Dogukan Aksu, M. Ali Aydin:
A Survey of IoT Architectural Reference Models. SSD 2019: 413-417 - [c2]Sükrü Okul, Dogukan Aksu, Muhammed Ali Aydin:
Applications of Deep Learning and Big Data Technologies. SSD 2019: 550-553 - [i1]Sertap Kamçi, Dogukan Aksu, Muhammed Ali Aydin:
Lane Detection For Prototype Autonomous Vehicle. CoRR abs/1912.05220 (2019) - 2018
- [c1]Dogukan Aksu, Serpil Üstebay, Muhammed Ali Aydin, Tülin Atmaca:
Intrusion Detection with Comparative Analysis of Supervised Learning Techniques and Fisher Score Feature Selection Algorithm. ISCIS 2018: 141-149
Coauthor Index
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