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Hasan Dag
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2020 – today
- 2024
- [j13]Arash Heidari
, Nima Jafari Navimipour
A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models. Cogn. Comput. 16(3): 1073-1091 (2024) - [j12]Berkant Düzgün
Network intrusion detection system by learning jointly from tabular and text-based features. Expert Syst. J. Knowl. Eng. 41(4) (2024) - [j11]Arash Heidari
Deepfake detection using deep learning methods: A systematic and comprehensive review. WIREs Data. Mining. Knowl. Discov. 14(2) (2024) - [c11]Furkan Çolhak, Mert Ilhan Ecevit, Hasan Dag, Reiner Creutzburg:
Comparing Deep Neural Networks and Machine Learning for Detecting Malicious Domain Name Registrations. COINS 2024: 1-4 - [c10]Bilal Emir Uçar, Mert Ilhan Ecevit, Hasan Dag, Reiner Creutzburg:
A Comprehensive Review of Open Source Intelligence in Intelligent Transportation Systems. IE 2024: 109-116 - [c9]Jose Luis Cano Garcia, Izuchukwu Patrick Udechukwu, Isiaq Bolaji Ibrahim, Ikechukwu John Chukwu, Hasan Dag, Vesna Dimitrova, Elissa Mollakuqe
Securing AI Systems: A Comprehensive Overview of Cryptographic Techniques for Enhanced Confidentiality and Integrity. MECO 2024: 1-8 - [i5]Furkan Çolhak, Mert Ilhan Ecevit, Hasan Dag, Reiner Creutzburg:
SecureReg: A Combined Framework for Proactively Exposing Malicious Domain Name Registrations. CoRR abs/2401.03196 (2024) - [i4]Furkan Çolhak, Mert Ilhan Ecevit, Bilal Emir Uçar, Reiner Creutzburg, Hasan Dag:
Phishing Website Detection through Multi-Model Analysis of HTML Content. CoRR abs/2401.04820 (2024) - 2022
- [j10]Ugur Ünal
AnomalyAdapters: Parameter-Efficient Multi-Anomaly Task Detection. IEEE Access 10: 5635-5646 (2022) - [j9]Ferhat Demirkiran
An ensemble of pre-trained transformer models for imbalanced multiclass malware classification. Comput. Secur. 121: 102846 (2022) - 2021
- [j8]Aykut Çayir, Ugur Ünal
Random CapsNet forest model for imbalanced malware type classification task. Comput. Secur. 102: 102133 (2021) - [i3]Berkant Düzgün, Aykut Çayir, Ferhat Demirkiran, Ceyda Nur Kayha, Buket Gençaydin, Hasan Dag:
New Datasets for Dynamic Malware Classification. CoRR abs/2111.15205 (2021) - [i2]Ferhat Demirkiran, Aykut Çayir, Ugur Ünal, Hasan Dag:
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification. CoRR abs/2112.13236 (2021) - 2020
- [j7]Muhittin Isik
The impact of text preprocessing on the prediction of review ratings. Turkish J. Electr. Eng. Comput. Sci. 28(3): 1405-1421 (2020)
2010 – 2019
- 2019
- [j6]Mohammed R. Dahman
Machine learning model to predict an adult learner's decision to continue ESOL course. Educ. Inf. Technol. 24(4): 2429-2452 (2019) - [i1]Aykut Çayir, Ugur Ünal, Hasan Dag:
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task. CoRR abs/1912.10836 (2019) - 2017
- [c8]Muhittin Isik, Hasan Dag
A recommender model based on trust value and time decay: Improve the quality of product rating score in E-commerce platforms. IEEE BigData 2017: 1946-1955 - 2016
- [c7]Ammar Jabakji, Hasan Dag
Improving item-based recommendation accuracy with user's preferences on Apache Mahout. IEEE BigData 2016: 1742-1749
2000 – 2009
- 2009
- [c6]Oguzhan Ceylan, Aydogan Ozdemir, Hasan Dag:
Application of Differential Evolution Method to Branch Outage Problem. GEM 2009: 185-189 - [c5]Taner Dursun, Hasan Dag:
HeteroSim: heterogeneous simulation framework. SpringSim 2009 - 2007
- [j5]Osman Yasar
Preface. Int. J. High Perform. Comput. Appl. 21(1): 3-4 (2007) - [j4]Berk Onat
A Parallel Implementation: Real Space Green's Function Technique. Int. J. High Perform. Comput. Appl. 21(1): 66-74 (2007) - [j3]Osman Yasar
Trends in parallel computing. Parallel Comput. 33(2): 81-82 (2007) - [j2]Hasan Dag
An approximate inverse preconditioner and its implementation for conjugate gradient method. Parallel Comput. 33(2): 83-91 (2007) - [c4]Gonul Uludag, Sima Uyar
Comparison of Evolutionary Techniques for Value-at-Risk Calculation. EvoWorkshops 2007: 218-227 - 2005
- [j1]Hasan Dag
Computational Science and Engineering at Istanbul Technical University. Comput. Sci. Eng. 7(1): 72-77 (2005) - 2004
- [c3]Hasan Dag, Gürkan Soykan, Senol Piskin
Computational Science and Engineering (CSE) Education: Faculty and Student Perspectives. ICCSA (3) 2004: 795-806 - 2003
- [c2]Çagatay Akçadogan, Hasan Dag
A Parallel Implementation of Chebyshev Preconditioned Conjugate Gradient Method. ISPDC 2003: 1-8
1990 – 1999
- 1993
- [c1]Hasan Dag, Osman Yasar, Fernando Alvarado:
Parallel Computation of Orthogonal Factors of Sparse Matrices. PPSC 1993: 486-490
Coauthor Index
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