| 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 | 214 | 2016 |
| 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 | 70 | 2019 |
| 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 | 64 | 2023 |
| 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 |
| An approach to face shape classification for hairstyle recommendation W Sunhem, K Pasupa 2016 Eighth International Conference on Advanced Computational Intelligence …, 2016 | 45 | 2016 |
| 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 |
| 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 | 42 | 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 | 38 | 2022 |
| 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 | 35 | 2010 |
| 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 | 34 | 2017 |
| 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 | 34 | 2009 |
| Hybrid Deep Learning Models for Thai Sentiment Analysis K Pasupa, T Seneewong Na Ayutthaya Cognitive Computation, 2020 | 33 | 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 | 31 | 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 | 28 | 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 | 24* | 2018 |
| CowXNet: An automated cow estrus detection system T Lodkaew, K Pasupa, CK Loo Expert Systems with Applications 211, 118550, 2023 | 23 | 2023 |
| Counting and classification of malarial parasite from giemsa-stained thin film images W Kudisthalert, K Pasupa, S Tongsima IEEE Access 8, 78663-78682, 2020 | 23 | 2020 |
| 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 | 23 | 2020 |
| Recurrent kernel extreme reservoir machine for time series prediction Z Liu, CK Loo, N Masuyama, K Pasupa IEEE Access 6, 19583-19596, 2018 | 23 | 2018 |
| Modified adaptive thresholding using integral image K Peuwnuan, K Woraratpanya, K Pasupa 2016 13th International Joint Conference on Computer Science and Software …, 2016 | 23 | 2016 |
| White Blood Cell Classification: A Comparison between VGG-16 and ResNet-50 Models S Vatathanavaro, T Suchat, K Pasupa Proceedings of the 6th Joint Symposium on Computational Intelligence (JSCI6 …, 2018 | 20 | 2018 |
| Sentiment analysis of Thai children stories K Pasupa, P Netisopakul, R Lertsuksakda Artificial Life and Robotics 21, 357-364, 2016 | 20 | 2016 |
| Thai sentiment terms construction using the Hourglass of Emotions R Lertsuksakda, P Netisopakul, K Pasupa 2014 6th international conference on knowledge and smart technology (KST), 46-50, 2014 | 20 | 2014 |
| Power system stabilizer tuning based on multiobjective design using hierarchical and parallel micro genetic algorithm K Hongesombut, Y Mitani, S Dechanupaprittha, I Ngamroo, K Pasupa, ... 2004 International Conference on Power System Technology, 2004. PowerCon …, 2004 | 19 | 2004 |
| Identifying SME customers from click feedback on mobile banking apps: Supervised and semi-supervised approaches S Tungjitnob, K Pasupa, B Suntisrivaraporn Heliyon 7 (8), 2021 | 15 | 2021 |
| Water levels forecast in Thailand: A case study of Chao Phraya river K Pasupa, S Jungjareantrat 2016 14th International Conference on Control, Automation, Robotics and …, 2016 | 15 | 2016 |
| Sign language recognition with microsoft Kinect's depth and colour sensors P Usachokcharoen, Y Washizawa, K Pasupa 2015 IEEE International Conference on Signal and Image Processing …, 2015 | 15 | 2015 |
| A simple iterative algorithm for parsimonious binary kernel Fisher discrimination RF Harrison, K Pasupa Pattern Analysis and Applications 13, 15-22, 2010 | 15 | 2010 |
| Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique K Pasupa, W Rathasamuth, S Tongsima BMC bioinformatics 21, 1-28, 2020 | 13 | 2020 |
| Using image features and eye tracking device to predict human emotions towards abstract images K Pasupa, P Chatkamjuncharoen, C Wuttilertdeshar, M Sugimoto Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland …, 2016 | 12 | 2016 |
| Sparse multinomial kernel discriminant analysis (sMKDA) RF Harrison, K Pasupa Pattern Recognition 42 (9), 1795-1802, 2009 | 12 | 2009 |
| Robust and unified VLC decoding system for square wave quadrature amplitude modulation using deep learning approach SAI Alfarozi, K Pasupa, H Hashizume, K Woraratpanya, M Sugimoto IEEE Access 7, 163262-163276, 2019 | 11 | 2019 |
| Multiple steps time series prediction by a novel recurrent kernel extreme learning machine approach Z Liu, CK Loo, N Masuyama, K Pasupa 2017 9th international conference on information technology and electrical …, 2017 | 11 | 2017 |
| Square wave quadrature amplitude modulation for visible light communication using image sensor SAI Alfarozi, K Pasupa, H Hashizume, K Woraratpanya, M Sugimoto IEEE Access 7, 94806-94821, 2019 | 10 | 2019 |
| Virtual screening by a new clustering-based weighted similarity extreme learning machine approach K Pasupa, W Kudisthalert Plos one 13 (4), e0195478, 2018 | 10 | 2018 |
| Diagnosis of metabolic syndrome using machine learning, statistical and risk quantification techniques: A systematic literature review HA Kakudi, LC Kiong, FM Moy, LC Kau, K Pasupa Malaysian Journal of Computer Science 34 (3), 221-241, 2021 | 9 | 2021 |
| Fashion finder: A system for locating online stores on instagram from product images T Lodkaew, W Supsohmboon, K Pasupa, CK Loo 2018 10th International Conference on Information Technology and Electrical …, 2018 | 9 | 2018 |
| Hairstyle recommendation system for women W Sunhem, K Pasupa, P Jansiripitikul 2016 Fifth ICT International Student Project Conference (ICT-ISPC), 166-169, 2016 | 9 | 2016 |
| Text-background decomposition for thai text localization and recognition in natural scenes K Woraratpanya, K Pasupa, U Suttapakti, P Boonchukusol, T Titijaroonroj, ... 2014 6th International conference on information technology and electrical …, 2014 | 9 | 2014 |
| Font Descriptor Construction for Printed Thai Character Recognition U Suttapakti, K Woraratpanya, K Pasupa Machine Vision Applications (MVA) 2013 13th International Conference on, 45-48, 2013 | 9 | 2013 |
| Hate speech detection in Thai social media with ordinal-imbalanced text classification K Pasupa, W Karnbanjob, M Aksornsiri 2022 19th international joint conference on computer science and software …, 2022 | 8 | 2022 |
| Selection of a Minimal Number of Significant Porcine SNPs by an Information Gain and Genetic Algorithm Hybrid Model W Rathasamuth, K Pasupa, S Tongsima arXiv preprint arXiv:1905.09059, 2019 | 8 | 2019 |
| Detecting text in manga using stroke width transform B Piriyothinkul, K Pasupa, M Sugimoto 2019 11th International Conference on Knowledge and Smart Technology (KST …, 2019 | 8 | 2019 |
| Risk quantification of metabolic syndrome with quantum particle swarm optimisation HA Kakudi, CK Loo, K Pasupa Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 8 | 2017 |
| Hypothesis testing based on observation from Thai sentiment classification P Netisopakul, K Pasupa, R Lertsuksakda Artificial Life and Robotics 22 (2), 184-190, 2017 | 7 | 2017 |
| A coefficient comparison of weighted similarity extreme learning machine for drug screening W Kudisthalert, K Pasupa 2016 8th International Conference on Knowledge and Smart Technology (KST), 43-48, 2016 | 7 | 2016 |
| Hypothesis Testing based on Observation from Thai Sentiment Classification P Netisopakul, R Lertsuksakda, K Pasupa 21th International Symposium on Artificial Life and Robotics (AROB 2016), 8-13, 2016 | 7 | 2016 |
| Error-output recurrent multi-layer Kernel Reservoir Network for electricity load time series forecasting Z Liu, GA Tahir, N Masuyama, HA Kakudi, Z Fu, K Pasupa Engineering Applications of Artificial Intelligence 117, 105611, 2023 | 6 | 2023 |
| Local sigmoid method: non-iterative deterministic learning algorithm for automatic model construction of neural network SAI Alfarozi, K Pasupa, M Sugimoto, K Woraratpanya IEEE Access 8, 20342-20362, 2020 | 6 | 2020 |
| Inside Me: A proposal for healthcare mobile application S Busssadee, S Suwannatria, A Chonrawut, E Thamwiwatthana, ... 2016 Fifth ICT International Student Project Conference (ICT-ISPC), 85-88, 2016 | 6 | 2016 |
| Exploration-exploitation of eye movement enriched multiple feature spaces for content-based image retrieval Z Hussain, AP Leung, K Pasupa, DR Hardoon, P Auer, J Shawe-Taylor Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 6 | 2010 |
| Data mining and decision support in pharmaceutical databases K Pasupa University of Sheffield, 2007 | 6 | 2007 |
| Real-time financial data prediction using meta-cognitive recurrent kernel online sequential extreme learning machine Z Liu, CK Loo, K Pasupa International conference on neural information processing, 488-498, 2019 | 5 | 2019 |
| A modified binary flower pollination algorithm: A fast and effective combination of feature selection techniques for SNP classification W Rathasamuth, K Pasupa 2019 11th International Conference on Information Technology and Electrical …, 2019 | 5 | 2019 |
| A new approach to automatic heat detection of cattle in video K Pasupa, T Lodkaew Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 5 | 2019 |
| Investigations and comparisons of government open data websites through systematic functional analysis and efficient promotion approach P Iamamphai, J Noymanee, W San-Um, K Pasupa 2016 Management and Innovation Technology International Conference (MITicon …, 2016 | 5 | 2016 |
| A Comparative Study of Feature Point Matching versus Foreground Detection for Computer Detection of Dairy Cows in Video Frames S Nopparit, N Pantuwong, K Pasupa 20th International Symposium on Artificial Life and Robotics (AROB 2015 …, 2015 | 5* | 2015 |
| Sentiment analysis of Thai children stories on support vector machine R Lertsuksakda, K Pasupa, P Netisopakul 20th International Symposium on Artificial Life and Robotics (AROB 2015 …, 2015 | 5 | 2015 |
| Basic metric learning Z Hussain, J Shawe-Taylor, C Saunders, K Pasupa | 5 | 2008 |
| Particle size estimation in mixed commercial waste images using deep learning P Kittiworapanya, K Pasupa, P Auer Proceedings of the 12th International Conference on Advances in Information …, 2021 | 4 | 2021 |
| Hybrid training of speaker and sentence models for one-shot lip password K Ruengprateepsang, S Wangsiripitak, K Pasupa Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 4 | 2020 |
| A Scenario-based Analysis of Front-facing Camera Eye Tracker for UX-UI Survey on Mobile Banking App W Sunhem, K Pasupa 2020 12th International Conference on Knowledge and Smart Technology (KST …, 2020 | 4 | 2020 |
| Image enhancement in embedded devices for internet of things G Jeon, K Pasupa, M Anisetti, A Ahmad Concurrency and Computation: Practice and Experience, e5398, 2019 | 4 | 2019 |
| Combining multiple features for product categorisation by multiple kernel learning C Chavaltada, K Pasupa, DR Hardoon Recent Advances in Information and Communication Technology 2018 …, 2019 | 4 | 2019 |
| Diagnosing metabolic syndrome using genetically optimised Bayesian ARTMAP HA Kakudi, CK Loo, FM Moy, N Masuyama, K Pasupa IEEE Access 7, 8437-8453, 2018 | 4 | 2018 |
| Empirical monocomponent image decomposition U Suttapakti, K Pasupa, K Woraratpanya IEEE Access 6, 38706-38735, 2017 | 4 | 2017 |
| Utilising Kronecker decomposition and tensor-based multi-view learning to predict where people are looking in images K Pasupa, S Szedmak Neurocomputing 248, 80-93, 2017 | 4 | 2017 |
| Analytical incremental learning: Fast constructive learning method for neural network SAI Alfarozi, NA Setiawan, TB Adji, K Woraratpanya, K Pasupa, ... Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 4 | 2016 |
| Pinview: Implicit feedback in content-based image retrieval Z Hussain, A Klami, J Kujala, AP Leung, K Pasupa, P Auer, S Kaski, ... arXiv preprint arXiv:1410.0471, 2014 | 4 | 2014 |
| Drug screening with elastic-net multiple kernel learning K Pasupa, Z Hussain, J Shawe-Taylor, P Willett 13th IEEE International Conference on BioInformatics and BioEngineering, 1-5, 2013 | 4 | 2013 |
| Prediction of reference evapotranspiration with missing data in Thailand K Pasupa, E Thamwiwatthana 2013 International Conference on Information Technology and Electrical …, 2013 | 4 | 2013 |
| Augmenting differentiable neural computer with read network and key-value memory A Yadav, K Pasupa 2021 25th International Computer Science and Engineering Conference (ICSEC …, 2021 | 3 | 2021 |
| Learning to Drive with Deep Reinforcement Learning N Chukamphaeng, K Pasupa, M Antenreiter, P Auer 2021 13th International Conference on Knowledge and Smart Technology (KST), 2021 | 3 | 2021 |
| An Image Segment-based Classification for Chest X-Ray Image P Kittiworapanya, K Pasupa CSBio'20: Proceedings of the Eleventh International Conference on …, 2020 | 3 | 2020 |
| Diagnosis of Metabolic Syndrome Using Radar Chart R Thaweecharoen, W Chaiwong, C Boonma, K Pasupa, P Massa-Ard, ... The Bangkok Medical Journal 15 (1), 11-18, 2019 | 3 | 2019 |
| Selection of SNP Subsets for Severity of Beta-thalassaemia Classification Problem E Thamwiwatthana, K Pasupa, S Tongsima Proceedings of the 9th International Conference on Computational Systems …, 2018 | 3 | 2018 |
| Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction Z Liu, CK Loo, K Pasupa 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 3 | 2017 |
| Local variance image-based for scene text binarization under illumination effects K Peuwnuan, K Woraratpanya, K Pasupa, Y Kuroki 2017 2nd International Conference on Image, Vision and Computing (ICIVC …, 2017 | 3 | 2017 |
| Clustering-based weighted extreme learning machine for classification in drug discovery process W Kudisthalert, K Pasupa Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 3 | 2016 |
| An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting Z Wu, CK Loo, K Pasupa, L Xu Neural Information Processing: 29th International Conference, ICONIP 2022 …, 2023 | 2 | 2023 |
| SELM: Siamese extreme learning machine with application to face biometrics W Kudisthalert, K Pasupa, A Morales, J Fierrez Neural Computing and Applications 34 (14), 12143-12157, 2022 | 2 | 2022 |
| Handling concept drift in time-series data: Meta-cognitive recurrent recursive-kernel OS-ELM Z Liu, CK Loo, K Pasupa Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 2 | 2018 |
| Hinge loss projection for classification SAI Alfarozi, K Woraratpanya, K Pasupa, M Sugimoto Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 2 | 2016 |
| Vibrotactile brain–computer interface with error-detecting codes S Apichartstaporn, K Pasupa, Y Washizawa Advances in Cognitive Neurodynamics (V) Proceedings of the Fifth …, 2016 | 2 | 2016 |
| A comparison of dimensionality reduction techniques in virtual screening K Pasupa Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 2 | 2013 |
| The Review of Virtual Screening Techniques K Pasupa KMITL Journal of Information Technology 1 (1), 60-82, 2012 | 2* | 2012 |
| Learning relevant eye movement feature spaces across users Z Hussain, K Pasupa, J Shawe-Taylor Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications …, 2010 | 2 | 2010 |
| Prediction of relevance of an image from a scan pattern A Klami, S Kaski, K Pasupa, C Saunders, T de Campos | 2 | 2008 |
| Parsimonious kernel Fisher discrimination K Pasupa, RF Harrison, P Willett Iberian Conference on Pattern Recognition and Image Analysis, 531-538, 2007 | 2 | 2007 |
| Revisiting echo state networks for continuous gesture recognition A Yadav, K Pasupa, CK Loo 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 978-983, 2022 | 1 | 2022 |
| Fastthaicaps: a transformer based capsule network for hate speech detection in Thai language K Maity, S Bhattacharya, S Saha, S Janoai, K Pasupa International Conference on Neural Information Processing, 425-437, 2022 | 1 | 2022 |
| Deep Learning-Based Early Detection and Avoidance of Traffic Congestion in Software-Defined Networks S Prabhavat, T Thongthavorn, K Pasupa 2022 14th International Conference on Information Technology and Electrical …, 2022 | 1 | 2022 |
| Online Sequential Extreme Learning Machine based Instinct Plasticity for Classification Z Liu, K Pasupa 2020 12th International Conference on Information Technology and Electrical …, 2020 | 1 | 2020 |
| Improved identification of imbalanced multiple annotation intent labels with a hybrid BLSTM and CNN model and hybrid loss function S Vatathanavaro, K Pasupa, S Sirirattanajakarin, B Suntisrivaraporn Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 1 | 2020 |
| Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V H Yang, K Pasupa, ACS Leung, JT Kwok, JH Chan, I King Springer Nature, 2020 | 1 | 2020 |
| Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV H Yang, K Pasupa, ACS Leung, JT Kwok, JH Chan, I King Springer Nature, 2020 | 1 | 2020 |
| Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part III H Yang, K Pasupa, ACS Leung, JT Kwok, JH Chan, I King Springer Nature, 2020 | 1 | 2020 |
| Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part II H Yang, K Pasupa, ACS Leung, JT Kwok, JH Chan, I King Springer Nature, 2020 | 1 | 2020 |
| Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part I H Yang, K Pasupa, ACS Leung, JT Kwok, JH Chan, I King Springer Nature, 2020 | 1 | 2020 |
| SME user classification from click feedback on a mobile banking apps S Tungjitnob, K Pasupa, E Thamwiwatthana, B Suntisrivaraporn Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 1 | 2020 |
Chu Kiong LooProfessor of Computer Science, University of MalayaVerified email at um.edu.my
