| Analysis of significant factors for dengue fever incidence prediction P Siriyasatien, A Phumee, P Ongruk, K Jampachaisri, K Kesorn BMC bioinformatics 17 (1), 166, 2016 | 106 | 2016 |
| Personalized attraction recommendation system for tourists through check-in data K Kesorn, W Juraphanthong, A Salaiwarakul IEEE access 5, 26703-26721, 2017 | 97 | 2017 |
| An Enhanced Bag-of-Visual Word Vector Space Model to Represent Visual Content in Athletics Images K Kesorn, S Poslad IEEE Transactions on Multimedia 14 (1), 211, 2012 | 95 | 2012 |
| Dengue epidemics prediction: A survey of the state-of-the-art based on data science processes P Siriyasatien, S Chadsuthi, K Jampachaisri, K Kesorn IEEE Access 6, 53757-53795, 2018 | 91 | 2018 |
| Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and … K Kesorn, P Ongruk, J Chompoosri, A Phumee, U Thavara, A Tawatsin, ... PloS one 10 (5), e0125049, 2015 | 78 | 2015 |
| Semantic data mining in the information age: A systematic review C Sirichanya, K Kraisak International Journal of Intelligent Systems 36 (8), 3880-3916, 2021 | 66 | 2021 |
| A Multi-Modal Incompleteness Ontology model (MMIO) to enhance information fusion for image retrieval S Poslad, K Kesorn Information Fusion 20, 225-241, 2014 | 28 | 2014 |
| Semantic decision Trees: A new learning system for the ID3-Based algorithm using a knowledge base S Chanmee, K Kesorn Advanced engineering informatics 58, 102156, 2023 | 22 | 2023 |
| Semantic restructuring of natural language image captions to enhance image retrieval K Kesorn, S Poslad J. MultiMedia (JMM, 2009 | 17 | 2009 |
| Toward semantic data imputation for a dengue dataset N Kamkhad, K Jampachaisri, P Siriyasatien, K Kesorn Knowledge-Based Systems 196, 105803, 2020 | 13 | 2020 |
| Data quality enhancement for decision tree algorithm using knowledge-based model S Chanmee, K Kesorn Current Applied Science and Technology, 259-277, 2020 | 12 | 2020 |
| Visual content representation using semantically similar visual words K Kesorn, S Chimlek, S Poslad, P Piamsa-Nga Expert Systems with Applications 38 (9), 11472-11481, 2011 | 12 | 2011 |
| Optical Character Recognition (OCR) enhancement using an approximate string matching technique K Kesorn, P Phawapoothayanchai Engineering and Applied Science Research 45 (4), 282-289, 2018 | 11 | 2018 |
| Use of granularity and coverage in a user profile model to personalise visual content retrieval K Kesorn, Z Liang, S Poslad 2009 Second International Conference on Advances in Human-Oriented and …, 2009 | 10 | 2009 |
| Intelligent approach to automated star-schema construction using a knowledge base N Sanprasit, K Jampachaisri, T Titijaroonroj, K Kesorn Expert Systems with Applications 182, 115226, 2021 | 9 | 2021 |
| Time series data enrichment using semantic information for dengue incidence forecasting W Juraphanthong, K Kesorn Science, Engineering and Health Studies, 21050013-21050013, 2021 | 6 | 2021 |
| A novel technique for Thai document plagiarism detection using syntactic parse trees W Massagram, S Prapanitisatian, K Kesorn Engineering and Applied Science Research 45 (4), 290-300, 2018 | 6 | 2018 |
| Unify framework for crime data summarization using RSS feed service T NETSUWAN, K KESORN Walailak Journal of Science and Technology (WJST) 14 (10), 769-781, 2017 | 6 | 2017 |
| Semantically similar visual words discovery to facilitate visual invariance S Chimlek, K Kesorn, P Piamsa-Nga, S Poslad 2010 IEEE International Conference on Multimedia and Expo, 1242-1247, 2010 | 6 | 2010 |
| Exploiting a knowledge base for intelligent decision tree construction to enhance classification power S Chanmee, K Kesorn Engineering and Applied Science Research 49 (4), 545-561, 2022 | 5 | 2022 |
Stefan PosladAssociate Professor /Senior Lecturer, Queen Mary University of LondonVerified email at qmul.ac.uk
