All Outputs (7)

De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations (2021)
Journal Article
Arshia, A. H., Shadravan, S., Solhjoo, A., Sakhteman, A., & Sami, A. (2021). De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations. Computers in Biology and Medicine, 139, Article 104967. https://doi.org/10.1016/j.compbiomed.2021.104967

The main protease of SARS-CoV-2 is a critical target for the design and development of antiviral drugs. 2.5 M compounds were used in this study to train an LSTM generative network via transfer learning in order to identify the four best candidates ca... Read More about De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations.

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.