| Software defect prediction using Bayesian networks A Okutan, OT Yıldız Empirical Software Engineering 19, 154-181, 2014 | 412 | 2014 |
| Predicting cyber attacks with bayesian networks using unconventional signals A Okutan, SJ Yang, K McConky Proceedings of the 12th Annual Conference on Cyber and Information Security …, 2017 | 57 | 2017 |
| Forecasting cyberattacks with incomplete, imbalanced, and insignificant data A Okutan, G Werner, SJ Yang, K McConky Cybersecurity 1, 1-16, 2018 | 31 | 2018 |
| Differentiating and predicting cyberattack behaviors using lstm I Perry, L Li, C Sweet, SH Su, FY Cheng, SJ Yang, A Okutan 2018 IEEE Conference on Dependable and Secure Computing (DSC), 1-8, 2018 | 30 | 2018 |
| Forecasting cyber attacks with imbalanced data sets and different time granularities A Okutan, SJ Yang, K McConky arXiv preprint arXiv:1803.09560, 2018 | 23 | 2018 |
| POSTER: Cyber Attack Prediction of Threats from Unconventional Resources (CAPTURE) A Okutan, G Werner, K McConky, S Yang, Jay 2017 ACM SIGSAC Conference on Computer and Communications Security, 2563-2565, 2017 | 20 | 2017 |
| Cyberattack forecasting using predictive information A Okutan, SJ Yang, K McConky US Patent 11,632,386, 2023 | 18 | 2023 |
| Constructing a shared infrastructure for software architecture analysis and maintenance J Garcia, M Mirakhorli, L Xiao, Y Zhao, I Mujhid, K Pham, A Okutan, ... 2021 IEEE 18th International Conference on Software Architecture (ICSA), 150-161, 2021 | 16 | 2021 |
| ASSERT: Attack Synthesis and Separation with Entropy Redistribution towards Predictive Cyber Defense A Okutan, SJ Yang Cybersecurity 2, 15, 2019 | 16 | 2019 |
| Capture: cyberattack forecasting using non-stationary features with time lags A Okutan, SJ Yang, K McConky, G Werner 2019 IEEE Conference on Communications and Network Security (CNS), 205-213, 2019 | 15 | 2019 |
| A novel kernel to predict software defectiveness A Okutan, OT Yildiz Journal of Systems and Software 119, 109-121, 2016 | 12 | 2016 |
| Forecasting cyberattacks as time series with different aggregation granularity G Werner, A Okutan, S Yang, K McConky 2018 IEEE International Symposium on Technologies for Homeland Security (HST …, 2018 | 11 | 2018 |
| A Novel Regression Method for Software Defect Prediction with Kernel Methods. A Okutan, OT Yildiz ICPRAM, 216-221, 2013 | 10 | 2013 |
| Use of source code similarity metrics in software defect prediction A Okutan arXiv preprint arXiv:1808.10033, 2018 | 9 | 2018 |
| Çatı kaplama malzemesi seçim kriterlerinin belirlenmesi AE Okutan Fen Bilimleri Enstitüsü, 2007 | 8 | 2007 |
| A grounded theory based approach to characterize software attack surfaces S Moshtari, A Okutan, M Mirakhorli Proceedings of the 44th International Conference on Software Engineering, 13-24, 2022 | 6 | 2022 |
| Predicting the severity and exploitability of vulnerability reports using convolutional neural nets A Okutan, M Mirakhorli Proceedings of the 3rd international workshop on engineering and …, 2022 | 6 | 2022 |
| Software defect prediction using bayesian networks and kernel methods A Okutan ISIK University, 2012 | 5 | 2012 |
| Looking for software defects? First find the nonconformists S Moshtari, JCS Santos, M Mirakhorli, A Okutan 2020 IEEE 20th International Working Conference on Source Code Analysis and …, 2020 | 4 | 2020 |
| Empirical validation of automated vulnerability curation and characterization A Okutan, P Mell, M Mirakhorli, I Khokhlov, JCS Santos, D Gonzalez, ... IEEE Transactions on Software Engineering 49 (5), 3241-3260, 2023 | 2 | 2023 |
Shanchieh (Jay) YangRochester Institute of Technology在 g.rit.edu 的电子邮件经过验证
