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A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19 (2021)
Journal Article
Azouji, N., Sami, A., Taheri, M., & Müller, H. (2021). A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19. Computers in Biology and Medicine, 139, Article 104927. https://doi.org/10.1016/j.compbiomed.2021.104927

The world has experienced epidemics of coronavirus infections several times over the last two decades. Recent studies have shown that using medical imaging techniques can be useful in developing an automatic computer-aided diagnosis system to detect... Read More about A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19.

Particular matter prediction using synergy of multiple source urban big data in smart cities (2021)
Journal Article
Honarvar, A. R., & Sami, A. (2021). Particular matter prediction using synergy of multiple source urban big data in smart cities. Intelligent Decision Technologies, 15(3), 371-385. https://doi.org/10.3233/idt-200147

At present, the issue of air quality in populated urban areas is recognized as an environmental crisis. Air pollution affects the sustainability of the city. In controlling air pollution and protecting its hazards from humans, air quality data are ve... Read More about Particular matter prediction using synergy of multiple source urban big data in smart cities.

Characterization and Prediction of Questions without Accepted Answers on Stack Overflow (2021)
Presentation / Conference Contribution
Yazdaninia, M., Lo, D., & Sami, A. (2021, May). Characterization and Prediction of Questions without Accepted Answers on Stack Overflow. Presented at 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC), Madrid, Spain

A fast and effective approach to obtain information regarding software development problems is to search them to find similar solved problems or post questions on community question answering (CQA) websites. Solving coding problems in a short time is... Read More about Characterization and Prediction of Questions without Accepted Answers on Stack Overflow.

An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples (2021)
Presentation / Conference Contribution
Verdi, M., Sami, A., Akhondali, J., Khomh, F., Uddin, G., & Karami Motlagh, A. (2021, May). An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. Presented at 43rd International Conference on Software Engineering, Online

Software developers share programming solutions in Q&A sites like Stack Overflow, Stack Exchange, Android forum, and so on. The reuse of crowd-sourced code snippets can facilitate rapid prototyping. However, recent research shows that the shared code... Read More about An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples.

Intrusion Detection, Measurement Correction, and Attack Localization of PMU Networks (2021)
Journal Article
Khalafi, Z. S., Dehghani, M., Khalili, A., Sami, A., Vafamand, N., & Dragicevic, T. (2022). Intrusion Detection, Measurement Correction, and Attack Localization of PMU Networks. IEEE Transactions on Industrial Electronics, 69(5), 4697-4706. https://doi.org/10.1109/tie.2021.3080212

Accurate state estimation is essential for correct supervision of power grids. With the existence of cyber-attacks, state estimation may become inaccurate, which can eventually lead to wrong supervisory decision making. To detect cyber-attacks in pow... Read More about Intrusion Detection, Measurement Correction, and Attack Localization of PMU Networks.

How Do Users Answer MATLAB Questions on Q&A Sites? A Case Study on Stack Overflow and MathWorks (2021)
Presentation / Conference Contribution
Naghashzadeh, M., Haghshenas, A., Sami, A., & Lo, D. (2021, March). How Do Users Answer MATLAB Questions on Q&A Sites? A Case Study on Stack Overflow and MathWorks. Presented at 28th IEEE International Conference on Software Analysis, Evolution and Reengineering 2021 (SANER 2021), Honolulu, HI, USA

MATLAB is an engineering programming language with various toolboxes that has a dedicated Question and Answer (Q&A) platform on the MathWorks website, which is similar to Stack Overflow (SO). Moreover, some MATLAB users ask their questions on SO. Thi... Read More about How Do Users Answer MATLAB Questions on Q&A Sites? A Case Study on Stack Overflow and MathWorks.

An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples (2020)
Journal Article
Verdi, M., Sami, A., Akhondali, J., Khomh, F., Uddin, G., & Karami Motlagh, A. (2022). An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. IEEE Transactions on Software Engineering, 48(5), 1497-1514. https://doi.org/10.1109/tse.2020.3023664

Software developers share programming solutions in Q&A sites like Stack Overflow, Stack Exchange, Android forum, and so on. The reuse of crowd-sourced code snippets can facilitate rapid prototyping. However, recent research shows that the shared code... Read More about An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples.

Malware detection based on mining API calls (2010)
Presentation / Conference Contribution
Sami, A., Yadegari, B., Rahimi, H., Peiravian, N., Hashemi, S., & Hamze, A. (2010, March). Malware detection based on mining API calls. Presented at The 2010 ACM Symposium, Sierre, Switzerland

Financial loss due to malware nearly doubles every two years. For instance in 2006, malware caused near 33.5 Million GBP direct financial losses only to member organizations of banks in UK. Recent malware cannot be detected by traditional signature b... Read More about Malware detection based on mining API calls.