| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 572 | 2021 |
| A study of sentiment analysis using deep learning techniques on Thai Twitter data P Vateekul, T Koomsubha 2016 13th International joint conference on computer science and software …, 2016 | 150 | 2016 |
| Road segmentation of remotely-sensed images using deep convolutional neural networks with landscape metrics and conditional random fields T Panboonyuen, K Jitkajornwanich, S Lawawirojwong, P Srestasathiern, ... Remote Sensing 9 (7), 680, 2017 | 141 | 2017 |
| Semantic segmentation on remotely sensed images using an enhanced global convolutional network with channel attention and domain specific transfer learning T Panboonyuen, K Jitkajornwanich, S Lawawirojwong, P Srestasathiern, ... Remote Sensing 11 (1), 83, 2019 | 112 | 2019 |
| Deep learning for stock market prediction using event embedding and technical indicators P Oncharoen, P Vateekul 2018 5th international conference on advanced informatics: concept theory …, 2018 | 91 | 2018 |
| An evaluation of feature extraction in EEG-based emotion prediction with support vector machines I Wichakam, P Vateekul 2014 11th international joint conference on computer science and software …, 2014 | 66 | 2014 |
| Predicting judicial decisions of criminal cases from Thai Supreme Court using bi-directional GRU with attention mechanism K Kowsrihawat, P Vateekul, P Boonkwan 2018 5th Asian Conference on Defense Technology (ACDT), 50-55, 2018 | 65 | 2018 |
| Federated Learning used for predicting outcomes in SARS-COV-2 patients M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ... Research Square, 2021 | 54 | 2021 |
| Transformer-based decoder designs for semantic segmentation on remotely sensed images T Panboonyuen, K Jitkajornwanich, S Lawawirojwong, P Srestasathiern, ... Remote Sensing 13 (24), 5100, 2021 | 53 | 2021 |
| Combining deep convolutional networks and SVMs for mass detection on digital mammograms I Wichakam, P Vateekul 2016 8th international conference on knowledge and smart technology (KST …, 2016 | 50 | 2016 |
| An enhanced deep convolutional encoder-decoder network for road segmentation on aerial imagery T Panboonyuen, P Vateekul, K Jitkajornwanich, S Lawawirojwong Recent Advances in Information and Communication Technology 2017 …, 2018 | 49 | 2018 |
| Irrelevant attributes and imbalanced classes in multi-label text-categorization domains S Dendamrongvit, P Vateekul, M Kubat Intelligent Data Analysis 15 (6), 843-859, 2011 | 42 | 2011 |
| Fast induction of multiple decision trees in text categorization from large scale, imbalanced, and multi-label data P Vateekul, M Kubat 2009 IEEE International Conference on Data Mining Workshops, 320-325, 2009 | 41 | 2009 |
| Tree-based approach to missing data imputation P Vateekul, K Sarinnapakorn 2009 IEEE International Conference on Data Mining Workshops, 70-75, 2009 | 36 | 2009 |
| Stock trend prediction using deep learning approach on technical indicator and industrial specific information K Prachyachuwong, P Vateekul Information 12 (6), 250, 2021 | 34 | 2021 |
| Model-based deep reinforcement learning for wind energy bidding M Sanayha, P Vateekul International journal of electrical power & energy systems 136, 107625, 2022 | 29 | 2022 |
| Understanding knowledge areas in curriculum through text mining from course materials K Kawintiranon, P Vateekul, A Suchato, P Punyabukkana 2016 IEEE international conference on teaching, assessment, and learning for …, 2016 | 28 | 2016 |
| Software defect prediction in imbalanced data sets using unbiased support vector machine T Choeikiwong, P Vateekul Information science and applications, 923-931, 2015 | 27 | 2015 |
| Hierarchical multi-label classification with SVMs: A case study in gene function prediction P Vateekul, M Kubat, K Sarinnapakorn Intelligent Data Analysis 18 (4), 717-738, 2014 | 26 | 2014 |
| Deep learning using risk-reward function for stock market prediction P Oncharoen, P Vateekul Proceedings of the 2018 2nd International Conference on Computer Science and …, 2018 | 24 | 2018 |
