| A comparison between shallow and deep architecture classifiers on small dataset K Pasupa, W Sunhem 2016 8th International Conference on Information Technology and Electrical …, 2016 | 244 | 2016 |
| Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification K Pasupa, S Vatathanavaro, S Tungjitnob Journal of Ambient Intelligence and Humanized Computing 14 (11), 15259-15275, 2023 | 87 | 2023 |
| Thai sentiment analysis with deep learning techniques: A comparative study based on word embedding, POS-tag, and sentic features K Pasupa, T Seneewong Na Ayutthaya Sustainable Cities and Society 50, 101615, 2019 | 81 | 2019 |
| Evaluation of deep learning algorithms for semantic segmentation of car parts K Pasupa, P Kittiworapanya, N Hongngern, K Woraratpanya Complex & Intelligent Systems 8 (5), 3613-3625, 2022 | 55 | 2022 |
| An approach to face shape classification for hairstyle recommendation W Sunhem, K Pasupa 2016 Eighth International Conference on Advanced Computational Intelligence …, 2016 | 52 | 2016 |
| Image ranking with implicit feedback from eye movements DR Hardoon, K Pasupa Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications …, 2010 | 49 | 2010 |
| A hybrid approach to building face shape classifier for hairstyle recommender system K Pasupa, W Sunhem, CK Loo Expert Systems with Applications 120, 14-32, 2019 | 46 | 2019 |
| Virtual screening using binary kernel discrimination: effect of noisy training data and the optimization of performance B Chen, RF Harrison, K Pasupa, P Willett, DJ Wilton, DJ Wood, XQ Lewell Journal of chemical information and modeling 46 (2), 478-486, 2006 | 43 | 2006 |
| Hybrid Deep Learning Models for Thai Sentiment Analysis K Pasupa, T Seneewong Na Ayutthaya Cognitive Computation, 2020 | 38 | 2020 |
| CowXNet: An automated cow estrus detection system T Lodkaew, K Pasupa, CK Loo Expert Systems with Applications 211, 118550, 2023 | 37 | 2023 |
| A comparative study of machine learning techniques for automatic product categorisation C Chavaltada, K Pasupa, DR Hardoon Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017 | 37 | 2017 |
| Pinview: Implicit feedback in content-based image retrieval P Auer, Z Hussain, S Kaski, A Klami, J Kujala, J Laaksonen, A Leung, ... JMLR: Workshop and Conference Proceedings 11, 51-57, 2010 | 36 | 2010 |
| Learning to rank images from eye movements K Pasupa, CJ Saunders, S Szedmak, A Klami, S Kaski, SR Gunn 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 35 | 2009 |
| Counting and classification of malarial parasite from giemsa-stained thin film images W Kudisthalert, K Pasupa, S Tongsima IEEE Access 8, 78663-78682, 2020 | 34 | 2020 |
| Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification K Pasupa, S Tungjitnob, S Vatathanavaro Multimedia tools and applications 79 (45), 34209-34226, 2020 | 33 | 2020 |
| A novel error-output recurrent two-layer extreme learning machine for multi-step time series prediction Z Liu, CK Loo, K Pasupa Sustainable Cities and Society 66, 102613, 2021 | 30 | 2021 |
| Thai Sentiment Analysis via Bidirectional LSTM-CNN Model with Embedding Vectors and Sentic Features T Seneewong Na Ayutthaya, K Pasupa The 13th International Joint Symposium on Artificial Intelligence and …, 2018 | 29* | 2018 |
| Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling Z Liu, CK Loo, K Pasupa, M Seera Engineering Applications of Artificial Intelligence 88, 103327, 2020 | 24 | 2020 |
| Recurrent kernel extreme reservoir machine for time series prediction Z Liu, CK Loo, N Masuyama, K Pasupa IEEE Access 6, 19583-19596, 2018 | 24 | 2018 |
| Sentiment analysis of Thai children stories K Pasupa, P Netisopakul, R Lertsuksakda Artificial Life and Robotics 21, 357-364, 2016 | 24 | 2016 |
Chu Kiong LooProfessor of Computer Science, University of MalayaEmail verificata su um.edu.my
