| A Comparison of ARIMA and LSTM in Forecasting Time Series S Siami-Namini, A Tavakoli, A Siami Namin IEEE, 2018 | 630 | 2018 |
| The performance of LSTM and BiLSTM in forecasting time series S Siami-Namini, N Tavakoli, AS Namin 2019 IEEE International Conference on Big Data (Big Data), 3285-3292, 2019 | 365 | 2019 |
| Forecasting Economics and Financial Time Series: ARIMA vs. LSTM S Siami-Namini, A Siami Namin arXiv preprint arXiv:1803.06386, 2018 | 226 | 2018 |
| Inflation and Income Inequality in Developed and Developing Countries S Siami-Namini, D Hudson Journal of Economic Studies; SSRN Electronic Journal 46 (3), 611-632, 2019 | 66 | 2019 |
| A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM S Siami-Namini, N Tavakoli, A Siami Namin | 64 | 2019 |
| Forecasting economics and financial time series: ARIMA vs S Siami-Namini, AS Namin LSTM. arXiv 1803, 2018 | 43 | 2018 |
| Can machine/deep learning classifiers detect zero-day malware with high accuracy? F Abri, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin 2019 IEEE international conference on big data (Big Data), 3252-3259, 2019 | 39 | 2019 |
| An autoencoder‑based deep learning approach for clustering time series data N Tavakoli, S Siami‑Namini, M Adl Khanghah, F Mirza Soltani, ... SN Applied Science 2 (937), 2020 | 23 | 2020 |
| The Impacts of Sector Growth and Monetary Policy on Income Inequality in Developing Countries S Siami-Namini, D Hudson Journal of Economic Studies; Available at SSRN 3059381 46 (3), 591-610, 2019 | 19 | 2019 |
| Volatility Transmission Among Oil Price, Exchange Rate and Agricultural Commodities Prices S Siami-Namini Applied Economics and Finance 6 (4), 41-61, 2019 | 18 | 2019 |
| Granger causality between exchange rate and stock price: A Toda Yamamoto approach S Siami-Namini International Journal of Economics and Financial Issues 7 (4), 603-607, 2017 | 18 | 2017 |
| Commodity Price Volatility and U.S. Monetary Policy: Commodity Price Overshooting Revisited S Siami-Namini, D Hudson, AA Trindade, C Lyford Agribusiness 35 (2), 200-218, 2019 | 16 | 2019 |
| Clustering time series data through autoencoder-based deep learning models N Tavakoli, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin arXiv preprint arXiv:2004.07296, 2020 | 10 | 2020 |
| US Monetary Policy and Commodities Price Fluctuations S Siami-Namini, D Hudson | 9 | 2016 |
| Volatility spillover between oil prices, US dollar exchange rates and international agricultural commodities prices S Siami-Namini, D Hudson | 8 | 2017 |
| The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities F Abri, S Siami-Namini, M Adl Khanghah, F Mirza Soltani, A Siami Namin | 7 | 2019 |
| Granger Causality Between Gross Domestic Product and Economic Sectors in Developing Countries: A Panel Co-integration Approach S Siami-Namini International Journal of Economics and Financial Issues 7 (5), 53-58, 2017 | 7 | 2017 |
| The Short and Long Run Effects of Selected Variables on Tax Revenue-A Case Study S Siami-Namini, D Muhammad, F Fahimullah Applied Economics and Finance 5 (5), 23-32, 2018 | 6 | 2018 |
| Knowledge Management Challenges in Public Sectors S Siami-Namini Research Journal of Economics 2 (3), 1-9, 2018 | 6 | 2018 |
| Forecasting Economics and Financial Time Series: ARIMA vs. LSTM.(2018) S Siami-Namini, A Siami Namini arXiv preprint arXiv:1803.06386, 2018 | 6 | 2018 |
Akbar Siami NaminAssociate Professor, Computer Science, Texas Tech UniversityVerified email at ttu.edu
