| ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis ME Basiri, S Nemati, M Abdar, E Cambria, UR Acharya Future Generation Computer Systems 115, 279-294, 2021 | 884 | 2021 |
| Text feature selection using ant colony optimization MH Aghdam, N Ghasem-Aghaee, ME Basiri Expert systems with applications 36 (3), 6843-6853, 2009 | 554 | 2009 |
| A novel ACO–GA hybrid algorithm for feature selection in protein function prediction S Nemati, ME Basiri, N Ghasem-Aghaee, MH Aghdam Expert systems with applications 36 (10), 12086-12094, 2009 | 270 | 2009 |
| A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets ME Basiri, S Nemati, M Abdar, S Asadi, UR Acharrya Knowledge-Based Systems 228, 107242, 2021 | 229 | 2021 |
| A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques ME Basiri, M Abdar, MA Cifci, S Nemati, UR Acharya Knowledge-Based Systems 198, 105949, 2020 | 166 | 2020 |
| Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach E Nasarian, M Abdar, MA Fahami, R Alizadehsani, S Hussain, ME Basiri, ... Pattern Recognition Letters 133, 33-40, 2020 | 140 | 2020 |
| A hybrid latent space data fusion method for multimodal emotion recognition S Nemati, R Rohani, ME Basiri, M Abdar, NY Yen, V Makarenkov IEEE Access 7, 172948-172964, 2019 | 110 | 2019 |
| Sentence-level sentiment analysis in Persian ME Basiri, A Kabiri 2017 3rd international conference on pattern recognition and image analysis …, 2017 | 82 | 2017 |
| A Framework for Sentiment Analysis in Persian ME Basiri, AR Naghsh-Nilchi, N Ghassem-Aghaee OPEN TRANSACTIONS ON INFORMATION PROCESSING 1 (3), 1-14, 2014 | 81 | 2014 |
| Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets M Abdar, ME Basiri, J Yin, M Habibnezhad, G Chi, S Nemati, S Asadi Renewable and Sustainable Energy Reviews 124, 109781, 2020 | 76 | 2020 |
| Words are important: Improving sentiment analysis in the Persian language by lexicon refining ME Basiri, A Kabiri ACM transactions on Asian and low-resource language information processing …, 2018 | 75 | 2018 |
| Sentiment prediction based on dempster‐shafer theory of evidence ME Basiri, AR Naghsh-Nilchi, N Ghasem-Aghaee Mathematical Problems in Engineering 2014 (1), 361201, 2014 | 75 | 2014 |
| Using ant colony optimization-based selected features for predicting post-synaptic activity in proteins ME Basiri, N Ghasem-Aghaee, MH Aghdam European Conference on Evolutionary Computation, Machine Learning and Data …, 2008 | 70 | 2008 |
| A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews UA Chauhan, MT Afzal, A Shahid, M Abdar, ME Basiri, X Zhou World Wide Web 23 (3), 1811-1829, 2020 | 69 | 2020 |
| A novel hybrid ACO-GA algorithm for text feature selection ME Basiri, S Nemati 2009 IEEE Congress on Evolutionary Computation, 2561-2568, 2009 | 57 | 2009 |
| Exploiting reviewers’ comment histories for sentiment analysis ME Basiri, N Ghasem-Aghaee, AR Naghsh-Nilchi Journal of Information Science 40 (3), 313-328, 2014 | 54 | 2014 |
| Application of ant colony optimization for feature selection in text categorization MH Aghdam, N Ghasem-Aghaee, ME Basiri 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 54 | 2008 |
| HOMPer: A new hybrid system for opinion mining in the Persian language ME Basiri, A Kabiri Journal of Information Science 46 (1), 101-117, 2020 | 48 | 2020 |
| Text-independent speaker verification using ant colony optimization-based selected features S Nemati, ME Basiri Expert Systems with Applications 38 (1), 620-630, 2011 | 45 | 2011 |
| The effect of aggregation methods on sentiment classification in Persian reviews ME Basiri, A Kabiri, M Abdar, WK Mashwani, NY Yen, JC Hung Enterprise Information Systems 14 (9-10), 1394-1421, 2020 | 41 | 2020 |
Shahla NematiAssociate Professor of Computer Engineering, Shahrekord UniversityVerified email at sku.ac.ir
