A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle. - Praisan Padungweang; Chidchanok Lursinsap; Khamron Sunat (IEEE Trans. Neural Networks Learn. Syst., 2012)

TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification. - Praisan Padungweang; Worrawat Engchuan; Jonathan H. Chan (ICONIP (1), 2015)

Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts. - Wutthipong Kongburan; Praisan Padungweang; Worarat Krathu; Jonathan H. Chan (ICACI, 2016)

Data mining approach for automatic discovering success factors relationship statements in full text articles. - Worarat Krathu; Praisan Padungweang; Chakarida Nukoolkit (ICACI, 2016)

Metabolite Named Entity Recognition: A Hybrid Approach. - Wutthipong Kongburan; Praisan Padungweang; Worarat Krathu; Jonathan H. Chan (ICONIP (1), 2016)

A linear discriminant analysis using weighted local structure information. - Raywut Ketsuwan; Praisan Padungweang (JCSSE, 2017)

Dog cough sound classification using artificial neural network and the selected relevant features from discrete wavelet transform. - Panchana Kakabutr; Kullanan Sae Chen; Viewpaka Wangvisavawit; Praisan Padungweang; Olarn Rojanapornpun (KST, 2017)

Automatic discovering success factor relationship entities in articles using named entity recognition. - Supattra Niboonkit; Worarat Krathu; Praisan Padungweang (KST, 2017)

Network analysis of inter-organizational success factor relationships. - Wutthipong Kongburan; Praisan Padungweang; Worarat Krathu; Jonathan H. Chan (VINCI, 2017)

Stock Selection Using Association Rules on Cash Flow and Accrual Financial Indicators. - Amontep Wijitcharoen; Praisan Padungweang; Sanit Sirisawatvatana; Bunthit Watanapa (IAIT, 2018)

Auto-scaling microservices on IaaS under SLA with cost-effective framework. - Issaret Prachitmutita; Wachirawit Aittinonmongkol; Nasoret Pojjanasuksakul; Montri Supattatham; Praisan Padungweang (ICACI, 2018)

Logistic Principle Component Analysis (L-PCA) for Feature Selection in Classification. - Jitrawadee Rapeepongpan; Praisan Padungweang; Kittichai Lavangnananda (ICNC-FSKD, 2018)

Enhancing metabolic event extraction performance with multitask learning concept. - Wutthipong Kongburan; Praisan Padungweang; Worarat Krathu; Jonathan H. Chan (J. Biomed. Informatics, 2019)

Diabetic Retinopathy Classification with pre-trained Image Enhancement Model. - Wahidullah Mudaser; Praisan Padungweang; Pornchai Mongkolnam; Patcharaporn Lavangnananda (UEMCON, 2021)

Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges. - Chanon Dechsupa; Teerapong Panboonyuen; Wiwat Vatanawood; Praisan Padungweang; Chakchai So-In (IEEE Access, 2025)