A novel anomaly detection scheme based on principal component classifier ML Shyu, SC Chen, K Sarinnapakorn, LW Chang Proceedings of the IEEE foundations and new directions of data mining …, 2003 | 1094 | 2003 |
Combining subclassifiers in text categorization: A dst-based solution and a case study K Sarinnapakorn, M Kubat IEEE Transactions on Knowledge and Data Engineering 19 (12), 1638-1651, 2007 | 93 | 2007 |
Handling nominal features in anomaly intrusion detection problems ML Shyu, K Sarinnapakorn, I Kuruppu-Appuhamilage, SC Chen, ... 15th International Workshop on Research Issues in Data Engineering: Stream …, 2005 | 79 | 2005 |
Anomaly detection using a sliding window technique and data imputation with machine learning for hydrological time series L Kulanuwat, C Chantrapornchai, M Maleewong, P Wongchaisuwat, ... Water 13 (13), 1862, 2021 | 66 | 2021 |
Image database retrieval utilizing affinity relationships ML Shyu, SC Chen, M Chen, C Zhang, K Sarinnapakorn Proceedings of the 1st ACM international workshop on Multimedia databases, 78-85, 2003 | 58 | 2003 |
Principal component-based anomaly detection scheme ML Shyu, SC Chen, K Sarinnapakorn, LW Chang Foundations and novel approaches in data mining, 311-329, 2006 | 53 | 2006 |
Tree-based approach to missing data imputation P Vateekul, K Sarinnapakorn 2009 IEEE International Conference on Data Mining Workshops, 70-75, 2009 | 36 | 2009 |
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 |
Induction from multi-label examples in information retrieval systems: A case study K Sarinnapakorn, M Kubat Applied Artificial Intelligence 22 (5), 407-432, 2008 | 17 | 2008 |
IEEE 802.11 b High Rate Wireless Local Area Networks K Sarinnapakorn ResearchGate, March 15, 2001 | 15 | 2001 |
Forecasting Thailand’s precipitation with cascading model of CNN and GRU F Manokij, K Sarinnapakorn, P Vateekul 2019 11th International Conference on Information Technology and Electrical …, 2019 | 10 | 2019 |
Future changes in extreme rainfall over Thailand using multi-bias corrected GCM rainfall data W Chaowiwat, K Sarinnapakorn, S Weesakul J. Clim. Chang. Sci. 9, 30-53, 2019 | 7 | 2019 |
An application of air-sea model components in the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System over an Indochina Peninsular sub-region: Impact of … K Torsri, W Wannawong, K Sarinnapakorn, S Boonya-Aroonnet, ... Proceedings of the 2014 Asia Oceania Geosciences Society (2014 AOGS …, 2014 | 7 | 2014 |
Cascading Models of CNN and GRU with Autoencoder Loss for Precipitation Forecast in Thailand F Manokij, P Vateekul, K Sarinnapakorn ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15 (3 …, 2021 | 5 | 2021 |
A Prediction of Future Drought in Thailand under Changing Climate by Using SPI and SPEI Indices S Muangthong, W Chaowiwat, K Sarinnapakorn, K Chaibandit Engineering Access 6 (2), 48-56, 2020 | 5 | 2020 |
A Linear-Clustering algorithm for controlling quality of large scale water-level data in Thailand N Pattanavijit, P Vateekul, K Sarinnapakorn 2015 12th International Joint Conference on Computer Science and Software …, 2015 | 4 | 2015 |
Capturing high-level image concepts via affinity relationships in image database retrieval ML Shyu, SC Chen, M Chen, C Zhang, K Sarinnapakorn Multimedia tools and applications 32, 73-92, 2007 | 4 | 2007 |
Detecting anomaly and replacement prediction for rainfall open data in Thailand I Prakaisak, E Phaisangittisagul, M Maleewong, K Sarinnapakorn, ... 2021 18th International Joint Conference on Computer Science and Software …, 2021 | 3 | 2021 |
Prediction of future agriculture water demand in Thailand using multi bias corrected climate models W Chaowiwat, K Sarinnapakorn, S Weesakul 3rd International Workshop on Sediment Bypass Tunnels Taipei, 2019 | 3 | 2019 |
Improvement of Input Spatial Information to Support Meteorological Modeling K Manomaiphiboon, S Boonya-Aroonnet, K Sarinnapakorn, N Assareh, ... Final report, jointly conducted by Hydro and Agro Informatics Institute and …, 2017 | 3 | 2017 |