Topic sentiment analysis based on deep neural network using document embedding technique. - Azam Seilsepour; Reza Ravanmehr; Ramin Nassiri (J. Supercomput., 2023)

Optimal Planning Framework for Battery Energy Storage Systems and Electric Vehicle Charging Stations in Distribution Networks. - Mousa Alizadeh; Lasantha Meegahapola; Ali Moradi Amani; Mahdi Jalili; Azam Seilsepour (ICIT, 2024)

SSTSA: A Self-Supervised Topic Sentiment Analysis Using Semantic Similarity Measures and Transformers. - Azam Seilsepour; Reza Ravanmehr; Ramin Nassiri (Int. J. Inf. Technol. Decis. Mak., 2024)

Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study. - Mousa Alizadeh; Mohammad Hossein Samaei; Azam Seilsepour; Mohammad T. H. Beheshti (CoRR, 2025)

A novel self-supervised sentiment classification approach using semantic labeling based on contextual embeddings. - Mousa Alizadeh; Azam Seilsepour (Multim. Tools Appl., 2025)