Ontology testing-methodology and tool E Blomqvist, A Seil Sepour, V Presutti Knowledge Engineering and Knowledge Management: 18th International …, 2012 | 49 | 2012 |
Topic sentiment analysis based on deep neural network using document embedding technique A Seilsepour, R Ravanmehr, R Nassiri The Journal of Supercomputing 79 (17), 19809-19847, 2023 | 17 | 2023 |
2016 olympic games on twitter: Sentiment analysis of sports fans tweets using big data framework A Seilsepour, R Ravanmehr, HR Sima Journal of Advances in Computer Engineering and Technology 5 (3), 143-160, 2019 | 10 | 2019 |
Self-supervised sentiment classification based on semantic similarity measures and contextual embedding using metaheuristic optimizer A Seilsepour, M Alizadeh, R Ravanmehr, MTH Beheshti, R Nassiri 2022 8th Iranian Conference on Signal Processing and Intelligent Systems …, 2022 | 9 | 2022 |
Optimal Planning Framework for Battery Energy Storage Systems and Electric Vehicle Charging Stations in Distribution Networks M Alizadeh, L Meegahapola, AM Amani, M Jalili, A Seilsepour 2024 IEEE International Conference on Industrial Technology (ICIT), 1-6, 2024 | 7 | 2024 |
Sstsa: A self-supervised topic sentiment analysis using semantic similarity measures and transformers A Seilsepour, R Ravanmehr, R Nassiri International Journal of Information Technology & Decision Making 23 (06 …, 2024 | 2 | 2024 |
A novel self-supervised sentiment classification approach using semantic labeling based on contextual embeddings M Alizadeh, A Seilsepour Multimedia Tools and Applications, 1-26, 2024 | 2 | 2024 |