| Title | Author | Year | SCOPUS | PUBMED | ISI | TCI | |
|---|---|---|---|---|---|---|---|
| 1. | A comparative study of pseudo-inverse computing for the extreme learning machine classifier | Horata, P. Chiewchanwattana, S. Sunat, K. |
2011 | ||||
| 2. | Evolutionary circular extreme learning machine | Atsawaraungsuk, S. Horata, P. Sunat, K. Chiewchanwattana, S. Musigawan, P. |
2013 | ||||
| 3. | Handwritten character recognition using histograms of oriented gradient features in deep learning of artificial neural network | Iamsa-At, S. Horata, P. |
2013 | ||||
| 4. | Robust extreme learning machine | Horata, P. Chiewchanwattana, S. Sunat, K. |
2013 | ||||
| 5. | License plate recognition application using extreme learning machines | Subhadhira, S. Juithonglang, U. Sakulkoo, P. Horata, P. |
2014 | ||||
| 6. | Multi-label classification with extreme learning machine | Kongsorot, Y. Horata, P. |
2014 | ||||
| 7. | Enhancement of online sequential extreme learning machine based on the householder block exact inverse QRD recursive least squares | Punyaphol Horata Sirapat Chiewchanwattana Khamron Sunat |
2015 | ||||
| 8. | Evolutionary circular-ELM for the reduced-reference assessment of perceived image quality | Atsawaraungsuk, S. Horata, P. |
2015 | ||||
| 9. | Extended Hierarchical Extreme Learning Machine with Multilayer Perceptron | Khanittha Phurattanaprapin Punyaphol Horata |
2016 | ||||
| 10. | Harmonic Extreme Learning Machine for Data Clustering | Sarunyoo Boriratrit Sirapat Chiewchanwattana Khamron Sunat Pakarat Musikawan Punyaphol Horata |
2016 | ||||
| 11. | Improved Convex Incremental Extreme Learning Machine Based on Ridgelet and PSO Algorithm | Pakarat Musikawan Khamron Sunat Sirapat Chiewchanwattana Punyaphol Horata Yanika Kongsorot |
2016 | ||||
| 12. | Improvement Flower Pollination Extreme Learning Machine Based on Meta-Learning | Sarunyoo Boriratrit Sirapat Chiewchanwattana Khamron Sunat Pakarat Musikawan Punyaphol Horata |
2016 | ||||
| 13. | A Fast Convolutional Denoising Autoencoder based Fixtreme Learning Machine | Janebhop Sawaengchob Punyaphol Horata Pakarat Musikawan Yanika Kongsorot |
2017 | ||||
| 14. | Ensemble extreme learning machine for multi-instance learning | Horata, P. | 2017 | ||||
| 15. | A Fast Convolutional Denoising Autoencoder Based Extreme Learning Machine | Horata, P. Kongsorot, Y. |
2018 | ||||
| 16. | Enhancement of artificial emotional neural network using Jaya algorithm and the investigation of expanded feature selected for wind power forecasting | Iamsa-At, S. Horata, P. Sunat, K. |
2019 | ||||
| 17. | Kernel extreme learning machine based on fuzzy set theory for multi-label classification | Kongsorot, Y. Horata, P. Sunat, K. |
2019 | ||||
| 18. | Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems | Pakarat Musikawan Khamron Sunat Yanika Kongsorot Punyaphol Horata Sirapat Chiewchanwattana |
2019 | ||||
| 19. | An Incremental Kernel Extreme Learning Machine for Multi-Label Learning with Emerging New Labels | Yanika Kongsorot Punyaphol Horata Pakarat Musikawan |
2020 | ||||
| 20. | Enhanced Local Receptive Fields based Extreme Learning Machine using Dominant Patterns Selection | Keawbor, P. Horata, P. |
2021 | ||||
| 21. | Incident Task Sequence for Service Priority using Cosine Similarity | Boonprapapan, T. Horata, P. Seresangtakul, P. |
2022 | ||||
| 22. | Bias-Boosted ELM for Knowledge Transfer in Brain Emotional Learning for Time Series Forecasting | Iamsa-at, S. Horata, P. Sunat, K. |
2024 | ||||
| 23. | Service priority classification using machine learning | Boonprapapan, T. Seresangtakul, P. Horata, P. |
2024 | ||||
| 24. | AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation | Caibigan, R.N. Horata, P. Seresangtakul, P. |
2025 | ||||
| 25. | Integrating temporal and static features: a novel deep learning architecture for accurate sales prediction | Zhuang, F. Horata, P. Sunat, K. |
2025 | ||||
| 26. | Research on Hybrid Architecture Neural Networks for Time Series Prediction | Zhuang, F. Chen, X. Horata, P. Sunat, K. |
2025 | Count | 21 | 0 | 10 | 0 |
| Title | Authors | Year | Publication name | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total | ||||||
| 1. | A comparative study of pseudo-inverse computing for the extreme learning machine classifier | Horata, P. Chiewchanwattana, S. Sunat, K. |
2011 |
Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011 (), pp. 40-45 |
||||||||
| 2. | Evolutionary circular extreme learning machine | Atsawaraungsuk, S. Horata, P. Sunat, K. Chiewchanwattana, S. Musigawan, P. |
2013 |
2013 International Computer Science and Engineering Conference, ICSEC 2013 (), pp. 292-297 |
||||||||
| 3. | Handwritten character recognition using histograms of oriented gradient features in deep learning of artificial neural network | Iamsa-At, S. Horata, P. |
2013 |
2013 International Conference on IT Convergence and Security, ICITCS 2013 (), pp. |
||||||||
| 4. | Robust extreme learning machine | Horata, P. Chiewchanwattana, S. Sunat, K. |
2013 |
Neurocomputing (102), pp. 31-44 |
||||||||
| 5. | License plate recognition application using extreme learning machines | Subhadhira, S. Juithonglang, U. Sakulkoo, P. Horata, P. |
2014 |
Proceedings of the 2014 3rd ICT International Senior Project Conference, ICT-ISPC 2014 (), pp. 103-106 |
||||||||
| 6. | Multi-label classification with extreme learning machine | Kongsorot, Y. Horata, P. |
2014 |
Proceedings of the 2014 6th International Conference on Knowledge and Smart Technology, KST 2014 (), pp. 81-86 |
||||||||
| 7. | Enhancement of online sequential extreme learning machine based on the householder block exact inverse QRD recursive least squares | Horata, P. Chiewchanwattana, S. Sunat, K. |
2015 |
Neurocomputing Part A (), pp. 239-252 |
||||||||
| 8. | Evolutionary circular-ELM for the reduced-reference assessment of perceived image quality | Atsawaraungsuk, S. Horata, P. |
2015 |
Lecture Notes in Electrical Engineering (339), pp. 657-664 |
||||||||
| 9. | Ensemble extreme learning machine for multi-instance learning | Horata, P. | 2017 |
ACM International Conference Proceeding Series (Part F128357), pp. 56-60 |
||||||||
| 10. | A Fast Convolutional Denoising Autoencoder Based Extreme Learning Machine | Horata, P. Kongsorot, Y. |
2018 |
ICSEC 2017 - 21st International Computer Science and Engineering Conference 2017, Proceeding (), pp. 185-189 |
||||||||
| 11. | Enhancement of artificial emotional neural network using Jaya algorithm and the investigation of expanded feature selected for wind power forecasting | Iamsa-At, S. Horata, P. Sunat, K. |
2019 |
ACM International Conference Proceeding Series (), pp. 137-142 |
||||||||
| 12. | Kernel extreme learning machine based on fuzzy set theory for multi-label classification | Kongsorot, Y. Horata, P. Sunat, K. |
2019 |
International Journal of Machine Learning and Cybernetics 5 (10), pp. 979-989 |
||||||||
| 13. | Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems | Sunat, K. Kongsorot, Y. Horata, P. Chiewchanwattana, S. |
2019 |
IEEE Access (7), pp. 26909-26932 |
||||||||
| 14. | An Incremental Kernel Extreme Learning Machine for Multi-Label Learning with Emerging New Labels | Kongsorot, Y. Horata, P. |
2020 |
IEEE Access (8), pp. 46055-46070 |
||||||||
| 15. | Enhanced Local Receptive Fields based Extreme Learning Machine using Dominant Patterns Selection | Keawbor, P. Horata, P. |
2021 |
ICSEC 2021 - 25th International Computer Science and Engineering Conference (), pp. 161-166 |
||||||||
| 16. | Incident Task Sequence for Service Priority using Cosine Similarity | Boonprapapan, T. Horata, P. Seresangtakul, P. |
2022 |
Proceedings - 2022 1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022 (), pp. |
||||||||
| 17. | Bias-Boosted ELM for Knowledge Transfer in Brain Emotional Learning for Time Series Forecasting | Iamsa-at, S. Horata, P. Sunat, K. |
2024 |
IEEE Access (12), pp. 35868-35898 |
||||||||
| 18. | Service priority classification using machine learning | Boonprapapan, T. Seresangtakul, P. Horata, P. |
2024 |
Science, Engineering and Health Studies (18), pp. |
||||||||
| 19. | AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation | Caibigan, R.N. Horata, P. Seresangtakul, P. |
2025 |
IEEE Access (13), pp. 114696-114715 |
||||||||
| 20. | Integrating temporal and static features: a novel deep learning architecture for accurate sales prediction | Zhuang, F. Horata, P. Sunat, K. |
2025 |
Proceedings of SPIE the International Society for Optical Engineering (13692), pp. |
||||||||
| 21. | Research on Hybrid Architecture Neural Networks for Time Series Prediction | Zhuang, F. Chen, X. Horata, P. Sunat, K. |
2025 |
IEEE Access (13), pp. 101507-101531 |
||||||||
| Title | Authors | Year | Journal title |
|---|
| Title | Authors | Year | Journal title | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total | ||||||
| 1. | Robust extreme learning machine | Punyaphol Horata Sirapat Chiewchanwattana Khamron Sunat |
2013 |
NEUROCOMPUTING (102.0), pp. 31.0-44.0 |
82 | 0 | 0 | 0 | 0 | 0 | 82 | |
| 2. | Enhancement of online sequential extreme learning machine based on the householder block exact inverse QRD recursive least squares | Punyaphol Horata Sirapat Chiewchanwattana Khamron Sunat |
2015 |
NEUROCOMPUTING (149.0), pp. 239.0-252.0 |
10 | 0 | 0 | 0 | 0 | 0 | 10 | |
| 3. | Extended Hierarchical Extreme Learning Machine with Multilayer Perceptron | Khanittha Phurattanaprapin Punyaphol Horata |
2016 |
2016 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE) (), pp. 212.0-216.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 4. | Harmonic Extreme Learning Machine for Data Clustering | Sarunyoo Boriratrit Sirapat Chiewchanwattana Khamron Sunat Pakarat Musikawan Punyaphol Horata |
2016 |
2016 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE) (), pp. 201.0-205.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 5. | Improved Convex Incremental Extreme Learning Machine Based on Ridgelet and PSO Algorithm | Pakarat Musikawan Khamron Sunat Sirapat Chiewchanwattana Punyaphol Horata Yanika Kongsorot |
2016 |
2016 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE) (), pp. 189.0-194.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 6. | Improvement Flower Pollination Extreme Learning Machine Based on Meta-Learning | Sarunyoo Boriratrit Sirapat Chiewchanwattana Khamron Sunat Pakarat Musikawan Punyaphol Horata |
2016 |
2016 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE) (), pp. 195.0-200.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 7. | A Fast Convolutional Denoising Autoencoder based Fixtreme Learning Machine | Janebhop Sawaengchob Punyaphol Horata Pakarat Musikawan Yanika Kongsorot |
2017 |
2017 21ST INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC 2017) (), pp. 185.0-189.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 8. | Kernel extreme learning machine based on fuzzy set theory for multi-label classification | Yanika Kongsorot Punyaphol Horata Pakarat Musikawan Khamron Sunat |
2019 |
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 5.0 (10.0), pp. 979.0-989.0 |
11 | 0 | 0 | 0 | 0 | 0 | 11 | |
| 9. | Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems | Pakarat Musikawan Khamron Sunat Yanika Kongsorot Punyaphol Horata Sirapat Chiewchanwattana |
2019 |
IEEE ACCESS (7.0), pp. 26909.0-26932.0 |
14 | 0 | 0 | 0 | 0 | 0 | 14 | |
| 10. | An Incremental Kernel Extreme Learning Machine for Multi-Label Learning With Emerging New Labels | Yanika Kongsorot Punyaphol Horata Pakarat Musikawan |
2020 |
IEEE ACCESS (8.0), pp. 46055.0-46070.0 |
3 | 0 | 0 | 0 | 0 | 0 | 3 | |
| Title | Authors | Year | Journal title |
|---|
| Title | Authors | NRIIS type | Year | NRIIS Scholarship |
|---|