Outputs (23)

Reputation Gaming in Crowd Technical Knowledge Sharing (2024)
Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (online). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology, https://doi.org/10.1145/3691627

Stack Overrow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. This paper ooers, for the rst time, a comprehensive study of the reported... Read More about Reputation Gaming in Crowd Technical Knowledge Sharing.

Academic Staff AI Literacy Development Through LLM Prompt Training (2024)
Book Chapter
Drumm, L., & Sami, A. (in press). Academic Staff AI Literacy Development Through LLM Prompt Training. In Effective Practices in AI Literacy Education: Case Studies and Reflections (41-49). Emerald

A foundation in artificial intelligence (AI) literacy among all academic staff is essential for supporting students’ AI literacy effectively. As tools like ChatGPT increasingly influence academic work, educators need to understand prompt engineering... Read More about Academic Staff AI Literacy Development Through LLM Prompt Training.

FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing (2023)
Journal Article
Benzaïd, C., Taleb, T., Sami, A., & Hireche, O. (2024). FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing. IEEE Transactions on Dependable and Secure Computing, 21(4), 2818-2835. https://doi.org/10.1109/tdsc.2023.3318606

Network slicing is envisaged as the key to unlocking revenue growth in 5G and beyond (B5G) networks. However, the dynamic nature of network slicing and the growing sophistication of DDoS attacks rises the menace of reshaping a stealthy DDoS into an E... Read More about FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing.

CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics (2023)
Journal Article
Feizpour, E., Tahayori, H., & Sami, A. (2023). CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics. Journal of Software: Evolution and Process, 35(12), Article e2569. https://doi.org/10.1002/smr.2569

Software development effort estimation (SDEE) is a critical activity in developing software. Accurate effort estimation in the early phases of software design life cycle has important effects on the success of software projects. COCOMO (Constructive... Read More about CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics.

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique (2022)
Journal Article
Moezzi, S. A. R., Ghaedi, A., Rahmanian, M., Mousavi, S. Z., & Sami, A. (2023). Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique. Journal of Digital Imaging, 36(1), 80-90. https://doi.org/10.1007/s10278-022-00692-x

Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniqu... Read More about Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.

Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods (2022)
Journal Article
Forootani, A., Rastegar, M., & Sami, A. (2022). Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods. Electric Power Systems Research, 210, Article 108119. https://doi.org/10.1016/j.epsr.2022.108119

Accurate short-term forecasting of the individual residential load is a challenging task due to the nonlinear behavior of the residential customer. Moreover, there are a large number of features that have impact on the energy consumption of the resid... Read More about Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods.

EfficientMask-Net for face authentication in the era of COVID-19 pandemic (2022)
Journal Article
Azouji, N., Sami, A., & Taheri, M. (2022). EfficientMask-Net for face authentication in the era of COVID-19 pandemic. Signal, Image and Video Processing, 16(7), 1991-1999. https://doi.org/10.1007/s11760-022-02160-z

Today, we are facing the COVID-19 pandemic. Accordingly, properly wearing face masks has become vital as an effective way to prevent the rapid spread of COVID-19. This research develops an Efficient Mask-Net method for low-power devices, such as mobi... Read More about EfficientMask-Net for face authentication in the era of COVID-19 pandemic.

Organ-specific or personalized treatment for COVID-19: rationale, evidence, and potential candidates (2022)
Journal Article
Mousavi, S. Z., Rahmanian, M., & Sami, A. (2022). Organ-specific or personalized treatment for COVID-19: rationale, evidence, and potential candidates. Functional and Integrative Genomics, 22(3), 429-433. https://doi.org/10.1007/s10142-022-00841-z

Although extrapulmonary manifestations of coronavirus disease 2019 (COVID-19) are increasingly reported, no effective therapeutic strategy for these multisystemic complications is available due to a poor understanding of the pathophysiology of COVID-... Read More about Organ-specific or personalized treatment for COVID-19: rationale, evidence, and potential candidates.

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.