| Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization H Abbasimehr, R Paki Chaos, Solitons & Fractals 142, 110511, 2021 | 170 | 2021 |
| Improving time series forecasting using LSTM and attention models H Abbasimehr, R Paki Journal of Ambient Intelligence and Humanized Computing 13 (1), 673-691, 2022 | 144 | 2022 |
| A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting H Abbasimehr, R Paki, A Bahrini Neural Computing and Applications 34 (4), 3135-3149, 2022 | 58 | 2022 |
| Improving the performance of deep learning models using statistical features: The case study of COVID‐19 forecasting H Abbasimehr, R Paki, A Bahrini Mathematical Methods in the Applied Sciences, 2021 | 21 | 2021 |
| A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models H Abbasimehr, R Paki, A Bahrini Sustainable Computing: Informatics and Systems 38, 100863, 2023 | 19 | 2023 |
| Classification of g protein-coupled receptors using attention mechanism R Paki, E Nourani, D Farajzadeh Gene Reports 21, 100882, 2020 | 4 | 2020 |
| A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques H Abbasimehr, A Noshad, R Paki Expert Systems with Applications 235, 121279, 2024 | 3 | 2024 |
| A Novel Multi-Step Ahead Demand Forecasting Model Based on Deep Learning Techniques and Time Series Augmentation H Abbasimehr, R Paki Journal of Information and Communication Technology 53 (53), 1, 2023 | | 2023 |
Hossein AbbasimehrAssociate professor, Azarbaijan Shahid Madani University在 azaruniv.ac.ir 的电子邮件经过验证
