Improving time series forecasting using LSTM and attention models. - Hossein Abbasimehr; Reza Paki (J. Ambient Intell. Humaniz. Comput., 2022)

A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting. - Hossein Abbasimehr; Reza Paki; Aram Bahrini (Neural Comput. Appl., 2022)

A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models. - Hossein Abbasimehr; Reza Paki; Aram Bahrini (Sustain. Comput. Informatics Syst., 2023)

A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques. - Hossein Abbasimehr; Ali Noshad; Reza Paki (Expert Syst. Appl., 2024)