Azam Seilsepour

According to our database, Azam Seilsepour authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

A novel self-supervised sentiment classification approach using semantic labeling based on contextual embeddings.

Mousa Alizadeh, Azam Seilsepour

Multim. Tools Appl., April, 2025

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, March, 2025

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., November, 2024

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

Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023

Topic sentiment analysis based on deep neural network using document embedding technique.

Azam Seilsepour, Reza Ravanmehr, Ramin Nassiri

J. Supercomput., November, 2023