| Robust extreme learning machine P Horata, S Chiewchanwattana, K Sunat Neurocomputing 102, 31-44, 2013 | 197 | 2013 |
| An improved grey wolf optimizer for training q-Gaussian Radial Basis Functional-link nets N Muangkote, K Sunat, S Chiewchanwattana 2014 international computer science and engineering conference (ICSEC), 209-214, 2014 | 117 | 2014 |
| Efficient algorithms based on the k-means and Chaotic League Championship Algorithm for numeric, categorical, and mixed-type data clustering T Wangchamhan, S Chiewchanwattana, K Sunat Expert Systems with Applications 90, 146-167, 2017 | 64 | 2017 |
| A new artificial intelligence approach using extreme learning machine as the potentially effective model to predict and analyze the diagnosis of anemia DCE Saputra, K Sunat, T Ratnaningsih Healthcare 11 (5), 697, 2023 | 61 | 2023 |
| An advanced onlooker-ranking-based adaptive differential evolution to extract the parameters of solar cell models N Muangkote, K Sunat, S Chiewchanwattana, S Kaiwinit Renewable Energy 134, 1129-1147, 2019 | 55 | 2019 |
| Multilevel thresholding for satellite image segmentation with moth-flame based optimization N Muangkote, K Sunat, S Chiewchanwattana 2016 13th international joint conference on computer science and software …, 2016 | 53 | 2016 |
| Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced Harris’ hawks optimization for solving single-objective problems FY Arini, S Chiewchanwattana, C Soomlek, K Sunat Expert Systems with Applications 188, 116001, 2022 | 43 | 2022 |
| Kernel extreme learning machine based on fuzzy set theory for multi-label classification Y Kongsorot, P Horata, P Musikawan, K Sunat International Journal of Machine Learning and Cybernetics 10, 979-989, 2019 | 31 | 2019 |
| A discrimination analysis for unsupervised feature selection via optic diffraction principle P Padungweang, C Lursinsap, K Sunat IEEE transactions on neural networks and learning systems 23 (10), 1587-1600, 2012 | 31 | 2012 |
| Comparative study of computational time that HOG-based features used for vehicle detection N Laopracha, K Sunat Recent Advances in Information and Communication Technology 2017 …, 2018 | 29 | 2018 |
| Omfo: A new opposition-based moth-flame optimization algorithm for solving unconstrained optimization problems W Apinantanakon, K Sunat Recent Advances in Information and Communication Technology 2017 …, 2018 | 27 | 2018 |
| Enhancing modified cuckoo search by using Mantegna Lévy flights and chaotic sequences P Nasa-ngium, K Sunat, S Chiewchanwattana The 2013 10th International Joint Conference on Computer Science and …, 2013 | 27 | 2013 |
| A novel feature selection in vehicle detection through the selection of dominant patterns of histograms of oriented gradients (DPHOG) N Laopracha, K Sunat, S Chiewchanwattana IEEE Access 7, 20894-20919, 2019 | 26 | 2019 |
| Rr-cr-IJADE: An efficient differential evolution algorithm for multilevel image thresholding N Muangkote, K Sunat, S Chiewchanwattana Expert Systems with Applications 90, 272-289, 2017 | 26 | 2017 |
| PFP-PCA: parallel fixed point PCA face recognition K Rujirakul, C So-In, B Arnonkijpanich, K Sunat, S Poolsanguan 2013 4th International Conference on Intelligent Systems, Modelling and …, 2013 | 20 | 2013 |
| The Differentiated Creative search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems P Duankhan, K Sunat, S Chiewchanwattana, P Nasa-ngium Expert Systems with Applications 252, 123734, 2024 | 19 | 2024 |
| A global multilevel thresholding using differential evolution approach K Charansiriphaisan, S Chiewchanwattana, K Sunat Mathematical Problems in Engineering 2014 (1), 974024, 2014 | 19 | 2014 |
| Golden jackal optimization with joint opposite selection: An enhanced nature-inspired optimization algorithm for solving optimization problems FY Arini, K Sunat, C Soomlek IEEE Access 10, 128800-128823, 2022 | 18 | 2022 |
| Parallelized metaheuristic-ensemble of heterogeneous feedforward neural networks for regression problems P Musikawan, K Sunat, Y Kongsorot, P Horata, S Chiewchanwattana IEEE Access 7, 26909-26932, 2019 | 18 | 2019 |
| A combination of shape and texture classifiers for a face verification system S Srisuk, M Petrou, R Fooprateep, K Sunat, W Kurutach, P Chopaka Biometric Authentication: First International Conference, ICBA 2004, Hong …, 2004 | 18 | 2004 |
Sirapat Chiewchanwattana, Ph.D.Associate Professor in Computer Science, College of Computing, Khon Kaen UniversityE-mailová adresa ověřena na: kku.ac.th
