| An empirical study of distance metrics for k-nearest neighbor algorithm K Chomboon, P Chujai, P Teerarassamee, K Kerdprasop, N Kerdprasop Proceedings of the 3rd international conference on industrial application …, 2015 | 327 | 2015 |
| Time series analysis of household electric consumption with ARIMA and ARMA models P Chujai, N Kerdprasop, K Kerdprasop Proceedings of the international multiconference of engineers and computer …, 2013 | 249 | 2013 |
| Weighted k-means for density-biased clustering K Kerdprasop, N Kerdprasop, P Sattayatham International conference on data warehousing and knowledge discovery, 488-497, 2005 | 92 | 2005 |
| Text-independent speaker identification using deep learning model of convolution neural network S Bunrit, T Inkian, N Kerdprasop, K Kerdprasop International Journal of Machine Learning and Computing 9 (2), 143-148, 2019 | 75 | 2019 |
| The silhouette width criterion for clustering and association mining to select image features N Kaoungku, K Suksut, R Chanklan, K Kerdprasop, N Kerdprasop International journal of machine learning and computing 8 (1), 69-73, 2018 | 65 | 2018 |
| Improving the representation of cnn based features by autoencoder for a task of construction material image classification S Bunrit, N Kerdprasop, K Kerdprasop Journal of Advances in Information Technology 11 (4), 2020 | 64 | 2020 |
| A data mining approach to automate fault detection model development in the semiconductor manufacturing process K Kerdprasop, N Kerdprasop Int. J. Mech 5 (4), 336-344, 2011 | 41 | 2011 |
| Dermatological classification using deep learning of skin image and patient background knowledge K Sriwong, S Bunrit, K Kerdprasop, N Kerdprasop International Journal of Machine Learning and Computing 9 (6), 862-867, 2019 | 39 | 2019 |
| On transforming the ER model to ontology using protégé OWL tool P Chujai, N Kerdprasop, K Kerdprasop International Journal of Computer Theory and Engineering 6 (6), 484, 2014 | 38 | 2014 |
| Feature selection and boosting techniques to improve fault detection accuracy in the semiconductor manufacturing process K Kerdprasop, N Kerdprasop World Congress on Engineering 2012. July 4-6, 2012. London, UK. 2188, 398-403, 2010 | 36 | 2010 |
| Evaluating on the transfer learning of CNN architectures to a construction material image classification task S Bunrit, N Kerdprasop, K Kerdprasop International Journal of Machine Learning and Computing 9 (2), 201-207, 2019 | 33 | 2019 |
| Parallelization of k-means clustering on multi-core processors K Kerdprasop, N Kerdprasop Proceedings of the 10th WSEAS international conference on Applied computer …, 2010 | 30 | 2010 |
| SMS spam detection based on long short-term memory and gated recurrent unit P Poomka, W Pongsena, N Kerdprasop, K Kerdprasop International Journal of Future Computer and Communication 8 (1), 11-15, 2019 | 26 | 2019 |
| Runoff prediction with a combined artificial neural network and support vector regression R Chanklan, N Kaoungku, K Suksut, K Kerdprasop, N Kerdprasop International Journal of Machine Learning and Computing 8 (1), 39-43, 2018 | 24 | 2018 |
| Database reverse engineering based on association rule mining N Pannurat, N Kerdprasop, K Kerdprasop arXiv preprint arXiv:1004.3272, 2010 | 23 | 2010 |
| Rare class discovery techniques for highly imbalance data K Chomboon, K Kerdprasop, N Kerdprasop Proc. International multi conference of engineers and computer scientists 1, 2013 | 22 | 2013 |
| Constraint mining in business intelligence: a case study of customer churn prediction N Kerdprasop, P Kongchai, K Kerdprasop International Journal of Multimedia and Ubiquitous Engineering 8 (3), 11-20, 2013 | 21 | 2013 |
| Machine learning versus deep learning performances on the sentiment analysis of product reviews P Poomka, N Kerdprasop, K Kerdprasop International Journal of Machine Learning and Computing 11 (2), 103-109, 2021 | 20 | 2021 |
| Using rough set theory for automatic data analysis P Varapron 29th congress on science and technology of Thailand, 2003 | 20 | 2003 |
| A Study of Job Failure Prediction at Job Submit-State and Job Start-State in High-Performance Computing System: Using Decision Tree Algorithms [J] A Banjongkan, W Pongsena, N Kerdprasop, K Kerdprasop Journal of Advances in Information Technology 12 (2), 2021 | 19 | 2021 |
