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Queen's University Belfast: N/A, GB

Employment
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Queen's University Belfast - PURE

Works (11)

Neighborhood search with heuristic-based feature selection for click-through rate prediction

Engineering Applications of Artificial Intelligence
2025-04 | Journal article
Contributors: Dogukan Aksu; Ismail Hakki Toroslu; Hasan Davulcu
Source: check_circle
Crossref

Fusion Enhanced Click-Through-Rate Prediction

2023 31st Signal Processing and Communications Applications Conference (SIU)
2023 | Conference paper
Contributors: Bayraktar, Murat; Gökce, Fatma Ceyda; Aksu, Dogukan; Altingovde, Ismail Sengor; Karagoz, Pinar; Toroslu, Ismail Hakki
Source: Self-asserted source
Dogukan Aksu

MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach

Computers & Security
2022-07 | Journal article
Contributors: Dogukan Aksu; Muhammed Ali Aydin
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Crossref

New Approach for Risk Estimation Algorithms of BRCA1/2 Negativeness Detection with Modelling Supervised Machine Learning Techniques

Disease Markers
2020-12-08 | Journal article
Contributors: Hulya Yazici; Demet Akdeniz Odemis; Dogukan Aksu; Ozge Sukruoglu Erdogan; Seref Bugra Tuncer; Mukaddes Avsar; Seda Kilic; Gozde Kuru Turkcan; Betul Celik; Muhammed Ali Aydin et al.
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Crossref

A Survey of IoT Architectural Reference Models

16th International Multi-Conference on Systems, Signals and Devices, SSD 2019
2019 | Conference paper
EID:

2-s2.0-85075639435

Contributors: Aksu, D.; Aydin, M.A.
Source: Self-asserted source
Dogukan Aksu via Scopus - Elsevier

Applications of Deep Learning and Big Data Technologies

16th International Multi-Conference on Systems, Signals and Devices, SSD 2019
2019 | Conference paper
EID:

2-s2.0-85075639016

Contributors: Okul, S.; Aksu, D.; Aydin, M.A.
Source: Self-asserted source
Dogukan Aksu via Scopus - Elsevier

Detecting Port Scan Attempts with Comparative Analysis of Deep Learning and Support Vector Machine Algorithms

International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism, IBIGDELFT 2018 - Proceedings
2019 | Conference paper
EID:

2-s2.0-85062687352

Contributors: Aksu, D.; Aydin, M.A.
Source: Self-asserted source
Dogukan Aksu via Scopus - Elsevier

Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms

International Journal of Hydrogen Energy
2019 | Journal article
EID:

2-s2.0-85062810468

Part of ISBN:

03603199

Contributors: Ozbas, E.E.; Aksu, D.; Ongen, A.; Aydin, M.A.; Ozcan, H.K.
Source: Self-asserted source
Dogukan Aksu via Scopus - Elsevier

Phishing analysis of websites using classification techniques

Lecture Notes in Electrical Engineering
2019 | Book
EID:

2-s2.0-85049985643

Part of ISBN:

18761119 18761100

Contributors: Aksu, D.; Turgut, Z.; Üstebay, S.; Aydin, M.A.
Source: Self-asserted source
Dogukan Aksu via Scopus - Elsevier

Human computer interaction by eye blinking on real time

Proceedings - 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017
2018 | Conference paper
EID:

2-s2.0-85050849431

Contributors: Aksu, D.; Aydin, M.A.
Source: Self-asserted source
Dogukan Aksu via Scopus - Elsevier

Intrusion detection with comparative analysis of supervised learning techniques and fisher score feature selection algorithm

Communications in Computer and Information Science
2018 | Book
EID:

2-s2.0-85054375242

Part of ISBN:

18650929

Contributors: Aksu, D.; Üstebay, S.; Aydin, M.A.; Atmaca, T.
Source: Self-asserted source
Dogukan Aksu via Scopus - Elsevier