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2020 – today
- 2024
[j4]Niwan Wattanakitrungroj
, Pimchanok Wijitkajee, Saichon Jaiyen, Sunisa Sathapornvajana, Sasiporn Tongman:
Enhancing Supervised Model Performance in Credit Risk Classification Using Sampling Strategies and Feature Ranking. Big Data Cogn. Comput. 8(3): 28 (2024)- 2023
- [c10]Pongsathorn Pichaiyuth, Puwa Termnuphan, Tuul Triyason, Olarn Rojanapornpun, Saichon Jaiyen:
Price Trend Forecasting of Cryptocurrency Using Multiple Technical Indicators and SHAP. JCSSE 2023: 150-154 - [c9]Sittichai Sukreep, Piyapat Dajpratham, Chakarida Nukoolkit, Siam Yamsaengsung, Thanapong Khajontantichaikun, Pornchai Mongkolnam, Saichon Jaiyen, Vithida Chongsuphajaisiddhi:
Recognizing Fall Risk Factors with Convolutional Neural Network. JCSSE 2023: 391-396 - [c8]Thanapong Khajontantichaikun, Saichon Jaiyen, Siam Yamsaengsung, Pornchai Mongkolnam, Thanitsorn Chirapornchai:
Facial Emotion Detection for Thai Elderly People using YOLOv7. KST 2023: 1-4 - [c7]Kit Thananukhun, Saichon Jaiyen, Kulsawasd Jitkajornwanich, Anantaporn Hanskunatai:
Question Classification for Thai Conversational Chatbots Using Artificial Neural Networks and Multilingual BERT Models. KST 2023: 1-4
2010 – 2019
- 2019
- [j3]Ployphan Sornsuwit, Saichon Jaiyen:
A New Hybrid Machine Learning for Cybersecurity Threat Detection Based on Adaptive Boosting. Appl. Artif. Intell. 33(5): 462-482 (2019) - [c6]Thaloengpattarakoon Sanboon, Kamol Keatruangkamala, Saichon Jaiyen:
A Deep Learning Model for Predicting Buy and Sell Recommendations in Stock Exchange of Thailand using Long Short-Term Memory. ICCCS 2019: 757-760 - [c5]Boonyawee Grodniyomchai, Khattiya Chalapat, Kulsawasd Jitkajornwanich, Saichon Jaiyen:
A Hybrid of Shallow and Deep Learning for Odor Classification Based on Adaptive Boosting. ICCSCE 2019: 61-65 - 2017
- [j2]Mongkhon Thakong, Suphakant Phimoltares, Saichon Jaiyen, Chidchanok Lursinsap:
Fast Learning and Testing for Imbalanced Multi-Class Changes in Streaming Data by Dynamic Multi-Stratum Network. IEEE Access 5: 10633-10648 (2017) - [c4]Niphat Claypo, Anantaporn Hanskunatai, Saichon Jaiyen:
A New Streaming Learning for Stream Chunk Data Classification Based on Incremental Learning and Adaptive Boosting Algorithm. IC2IT 2017: 160-168 - 2016
- [c3]Pumitara Ruangthong, Saichon Jaiyen:
Hybrid ensembles of decision trees and Bayesian network for class imbalance problem. KST 2016: 39-42 - 2013
- [c2]Mongkhon Thakong, Suphakant Phimoltares, Saichon Jaiyen, Chidchanok Lursinsap:
One-Pass-Throw-Away Learning Algorithm Based on Hybridization of LDA and PCA. ICISA 2013: 1-4 - 2010
- [j1]Saichon Jaiyen, Chidchanok Lursinsap, Suphakant Phimoltares:
A very fast neural learning for classification using only new incoming datum. IEEE Trans. Neural Networks 21(3): 381-392 (2010)
2000 – 2009
- 2009
- [c1]Saichon Jaiyen, Chidchanok Lursinsap, Suphakant Phimoltares:
A Versatile Hyper-Ellipsoidal Basis Function for Function Approximation in High Dimensional Space. ISNN (1) 2009: 756-765
Coauthor Index
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