| Robust extreme learning machine P Horata, S Chiewchanwattana, K Sunat Neurocomputing 102, 31-44, 2013 | 193 | 2013 |
| Handwritten character recognition using histograms of oriented gradient features in deep learning of artificial neural network S Iamsa-at, P Horata 2013 international conference on IT convergence and security (ICITCS), 1-5, 2013 | 61 | 2013 |
| License plate recognition application using extreme learning machines S Subhadhira, U Juithonglang, P Sakulkoo, P Horata 2014 Third ICT International Student Project Conference (ICT-ISPC), 103-106, 2014 | 26 | 2014 |
| Multi-label classification with extreme learning machine Y Kongsorot, P Horata 2014 6th International Conference on Knowledge and Smart Technology (KST), 81-86, 2014 | 26 | 2014 |
| 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 | 25 | 2019 |
| 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 | 16 | 2019 |
| A comparative study of pseudo-inverse computing for the extreme learning machine classifier P Horata, S Chiewchanwattana, K Sunat The 3rd International Conference on Data Mining and Intelligent Information …, 2011 | 13 | 2011 |
| An incremental kernel extreme learning machine for multi-label learning with emerging new labels Y Kongsorot, P Horata, P Musikawan IEEE Access 8, 46055-46070, 2020 | 12 | 2020 |
| Enhancement of online sequential extreme learning machine based on the householder block exact inverse QRD recursive least squares P Horata, S Chiewchanwattana, K Sunat Neurocomputing 149, 239-252, 2015 | 10 | 2015 |
| Extended hierarchical extreme learning machine with multilayer perceptron K Phurattanaprapin, P Horata 2016 13th International Joint Conference on Computer Science and Software …, 2016 | 9 | 2016 |
| Evolutionary circular-ELM for the reduced-reference assessment of perceived image quality S Atsawaraungsuk, P Horata Information Science and Applications, 657-664, 2015 | 9 | 2015 |
| Harmonic extreme learning machine for data clustering S Boriratrit, S Chiewchanwattana, K Sunat, P Musikawan, P Horata 2016 13th International Joint Conference on Computer Science and Software …, 2016 | 7 | 2016 |
| Evolutionary circular extreme learning machine S Atsawaraungsuk, P Horata, K Sunat, S Chiewchanwattana, ... 2013 International Computer Science and Engineering Conference (ICSEC), 292-297, 2013 | 6 | 2013 |
| Improvement flower pollination extreme learning machine based on meta-learning S Boriratrit, S Chiewchanwattana, K Sunat, P Musikawan, P Horata 2016 13th International Joint Conference on Computer Science and Software …, 2016 | 5 | 2016 |
| Improving butterfly family classification using past separating features extraction in extreme learning machine S Iamsa-ata, P Horataa, K Sunata, N Thipayanga Proceedings of the 2nd International Conference on Intelligent Systems and …, 2014 | 5 | 2014 |
| Improved convex incremental extreme learning machine based on ridgelet and PSO algorithm P Musikawan, K Sunat, S Chiewchanwattana, P Horata, Y Kongsorot 2016 13th International Joint Conference on Computer Science and Software …, 2016 | 4 | 2016 |
| Applying regularization least squares canonical correlation analysis in extreme learning machine for multi-label classification problems Y Kongsorot, P Horata, K Sunat Proceedings of ELM-2014 Volume 1: Algorithms and Theories, 377-396, 2015 | 4 | 2015 |
| Ensemble extreme learning machine for multi-instance learning S Sastrawaha, P Horata Proceedings of the 9th International Conference on Machine Learning and …, 2017 | 3 | 2017 |
| A fast convolutional denoising autoencoder based extreme learning machine J Sawaengchob, P Horata, P Musikawan, Y Kongsorot 2017 21st International Computer Science and Engineering Conference (ICSEC), 1-5, 2017 | 2 | 2017 |
| Generalized stability of artificial emotional neural network in predicting domestic power peak demand S Iamsa-at, P Horata, K Sunat Science, Engineering and Health Studies, 22020004-22020004, 2022 | 1 | 2022 |
Khamron Sunat, Ph.D.Assistant Professor in Computer Science, College of Computing, Khon Kaen University, ThailandVerified email at kku.ac.th
