Data Ingestion for Data-Driven Service Platform: Royal Project Foundation Case Study. - Suphatchaya Autarrom; Kittayaporn Chantaranimi; Chanwit Chanton; Anchan Chompupoung; Pichan Jinapook; Waranya Mahanan; Pathathai Na-Lumpoon; Juggapong Natwichai; Nontakan Nuntachit; Nitchanan Prapaitrakul; Rattasit Sukhahuta; Prompong Sugunsil; et al. (INCoS, 2022)

Fake Listing or Truth? Using Pre-trained Deep Learning Model with Data Augmentation to Detect the Imposter. - Nontakan Nuntachit; Prompong Sugunnasil; Rattasit Sukhahuta (INCoS, 2022)

Data Architecture for Data-Driven Service Platform: Royal Project Foundation Case Study. - Suphatchaya Autarrom; Kittayaporn Chantaranimi; Chanwit Chanton; Anchan Chompupoung; Pichan Jinapook; Waranya Mahanan; Pathathai Na-Lumpoon; Juggapong Natwichai; Nontakan Nuntachit; Nitchanan Prapaitrakul; Rattasit Sukhahuta; Prompong Sugunsil; et al. (NBiS, 2022)

Do We Need a Specific Corpus and Multiple High-Performance GPUs for Training the BERT Model? An Experiment on COVID-19 Dataset. - Nontakan Nuntachit; Prompong Sugunnasil (Mach. Learn. Knowl. Extr., 2022)

Can ChatGPT Outperform Other Language Models? An Experiment on Using ChatGPT for Entity Matching Versus Other Language Models. - Nontakan Nuntachit; Prompong Sugannasil (3PGCIC, 2023)

Thai Word Disambiguation: An Experiment on Thai Language Dataset with Various Deep Learning Models. - Nontakan Nuntachit; Karn Patanukhom; Prompong Sugunnasil (EIDWT, 2023)