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Journal Articles
- 2024
[j2]Saroj Gopali
, Faranak Abri, Akbar Siami Namin, Keith S. Jones:
The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets. IEEE Access 12: 136451-136465 (2024)- [j1]Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin:
A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data. IEEE Access 12: 155423-155436 (2024)
Conference and Workshop Papers
- 2024
- [c4]Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones:
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. SAC 2024: 1064-1066 - 2023
- [c3]Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin:
A Survey on Blockchain-Based Federated Learning and Data Privacy. COMPSAC 2023: 1311-1318 - 2022
- [c2]Saroj Gopali, Zulfiqar Ali Khan, Bipin Chhetri, Bimal Karki, Akbar Siami Namin:
Vulnerability Detection in Smart Contracts Using Deep Learning. COMPSAC 2022: 1249-1255 - 2021
- [c1]Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin:
A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. IEEE BigData 2021: 2415-2420
Informal and Other Publications
- 2024
- [i3]Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones:
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. CoRR abs/2404.09802 (2024) - 2023
- [i2]Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin:
A Survey on Blockchain-Based Federated Learning and Data Privacy. CoRR abs/2306.17338 (2023) - 2021
- [i1]Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin:
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models. CoRR abs/2112.09293 (2021)
Coauthor Index
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