Sima Siami-Namini

According to our database, Sima Siami-Namini authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data.

Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

IEEE Access, 2024

The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models.

Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2021

A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models.

Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin

CoRR, 2021

A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data.

Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic.

Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

CoRR, 2020

Clustering Time Series Data through Autoencoder-based Deep Learning Models.

Neda Tavakoli, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin

CoRR, 2020

A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic.

Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities.

Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin

CoRR, 2019

A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM.

Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

CoRR, 2019

The Performance of LSTM and BiLSTM in Forecasting Time Series.

Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy?

Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Testing Multi-Threaded Applications Using Answer Set Programming.

Xiaozhen Xue, Sima Siami-Namini, Akbar Siami Namin

Int. J. Softw. Eng. Knowl. Eng., 2018

Assessing the Effectiveness of Coverage-Based Fault Localizations Using Mutants.

Xiaozhen Xue, Sima Siami-Namini, Akbar Siami Namin

Int. J. Softw. Eng. Knowl. Eng., 2018

Forecasting Economics and Financial Time Series: ARIMA vs. LSTM.

Sima Siami-Namini, Akbar Siami Namin

CoRR, 2018

Continuous Authentications Using Frequent English Terms.

Alaa Darabseh, Sima Siami-Namini, Akbar Siami Namin

Appl. Artif. Intell., 2018

A Comparison of ARIMA and LSTM in Forecasting Time Series.

Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018