| A highly accurate firefly based algorithm for heart disease prediction NC Long, P Meesad, H Unger Expert Systems with Applications 42 (21), 8221-8231, 2015 | 263 | 2015 |
| A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition D Thammasiri, D Delen, P Meesad, N Kasap Expert Systems with Applications 41 (2), 321-330, 2014 | 245 | 2014 |
| Combined numerical and linguistic knowledge representation and its application to medical diagnosis P Meesad, GG Yen IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2003 | 113 | 2003 |
| A chi-square-test for word importance differentiation in text classification P Meesad, P Boonrawd, V Nuipian Proceedings of international conference on information and electronics …, 2011 | 91 | 2011 |
| Predicting stock market price using support vector regression P Meesad, RI Rasel 2013 International Conference on Informatics, Electronics and Vision (ICIEV …, 2013 | 84 | 2013 |
| An effective neuro-fuzzy paradigm for machinery condition health monitoring GG Yen, P Meesad IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001 | 81 | 2001 |
| Pattern classification by a neurofuzzy network: application to vibration monitoring P Meesad, GG Yen ISA transactions 39 (3), 293-308, 2000 | 54 | 2000 |
| Combination of knn-based feature selection and knnbased missing-value imputation of microarray data P Meesad, K Hengpraprohm 2008 3rd International Conference on Innovative Computing Information and …, 2008 | 53 | 2008 |
| Thai fake news detection based on information retrieval, natural language processing and machine learning P Meesad SN Computer Science 2 (6), 425, 2021 | 49 | 2021 |
| Comparison of hybrid feature selection models on gene expression data P Saengsiri, P Meesad, SN Wichian, U Herwig 2010 Eighth International Conference on ICT and Knowledge Engineering, 13-18, 2010 | 40 | 2010 |
| Construction of fuzzy ontology-based terrorism event extraction U Inyaem, P Meesad, C Haruechaiyasak, D Tran 2010 third international conference on knowledge discovery and data mining …, 2010 | 39 | 2010 |
| An innovative recurrent error-based neuro-fuzzy system with momentum for stock price prediction MS Mahmud, P Meesad Soft Computing 20, 4173-4191, 2016 | 35 | 2016 |
| A hybrid intelligent system for medical diagnosis P Meesad, GG Yen IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 34 | 2001 |
| Part-of-Speech tagging enhancement to natural language processing for Thai wh-question classification with deep learning S Chotirat, P Meesad Heliyon 7 (10), 2021 | 33 | 2021 |
| An application of data mining and machine learning for weather forecasting RI Rasel, N Sultana, P Meesad Recent Advances in Information and Communication Technology 2017 …, 2018 | 31 | 2018 |
| Constructing a fuzzy rule-based system using the ILFN network and genetic algorithm GG Yen, P Meesad International journal of neural systems 11 (05), 427-443, 2001 | 31 | 2001 |
| Terrorism event classification using fuzzy inference systems U Inyaem, C Haruechaiyasak, P Meesad, D Tran arXiv preprint arXiv:1004.1772, 2010 | 28 | 2010 |
| An optimal design for type–2 fuzzy logic system using hybrid of chaos firefly algorithm and genetic algorithm and its application to sea level prediction NC Long, P Meesad Journal of Intelligent & Fuzzy Systems 27 (3), 1335-1346, 2014 | 27 | 2014 |
| Fast k-means clustering for very large datasets based on mapreduce combined with a new cutting method D Van Hieu, P Meesad Knowledge and Systems Engineering: Proceedings of the Sixth International …, 2015 | 26 | 2015 |
| Stock trend prediction relying on text mining and sentiment analysis with tweets P Meesad, J Li 2014 4th World Congress on Information and Communication Technologies (WICT …, 2014 | 26 | 2014 |
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