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Dr. PAISIT KHAN-AR-SA

Email: paisit.kha@kmutt.ac.th

Work Affiliations

Strategic Research Themes

Publications

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Data Selection for Close-Domain Data in Medical Continual Pretraining: A Case Study on Data Selection via Importance Resampling (DSIR); Chatiyar Ardchon, Can Udomcharoenchaikit, Nonthakit Chaiwong, et al.; 2025; Conference proceedings article
● Diffusion-Based Parameters for Stock Clustering: Sector Separation and Out-of-Sample Evidence; Piyarat Promsuwan, Paisit Khanarsa, Kittisak Chumpong; 2025; Journal article
● Enhancing diabetes follow-up period prediction through classification algorithms with feature selection techniques; Paisit Khanarsa, Sutikiat Suwanmanee, Supichaya Chumpong, et al.; 2025; Journal article
● Forecast COVID-19 Epidemics by Strengthening Deep Learning Models with Time Series Analysis; Warapree Tangseefa, Tepanata Pumpaibool, Paisit Khanarsa, et al.; 2025; Journal article
● Sequential pattern recognition in CAD operations: A deep learning framework for next-action prediction; Teerapord Lin, Paisit Khanarsa; 2025; Journal article abstract
● Transfer Learning for Course Recommendation Systems: A Comparative Study of Caser and GRU4Rec Models; Teerapord Lin, Suriya Natsupakpong, Paisit Khanarsa; 2025; Conference proceedings article
● Utilizing Demographic Data and Insurance Claims History to Develop Machine Learning for Assessing Cardiovascular Disease Risk; Napat Uraisomsurat, Paisit Khanarsa, Tanet Sriamorn; 2025; Conference proceedings article
● Deep Learning-Based Course Recommendations Using Sentence Embeddings and User Information for Learning Platforms; Teerapord Lin, Suriya Natsupakpong, Paisit Khanarsa; 2024; Conference proceedings article
● Deep Learning-based Ensemble Approach for Conventional Pap Smear Image Classification; Paisit Khanarsa, Satanat Kitsiranuwat; 2024; Journal article
● Generating Synthetic Images Using Stable Diffusion Model for Skin Lesion Classification; Parapat Patcharapimpisut, Paisit Khanarsa; 2024; Conference proceedings article
● Identification and Classification of Diseases Based on Object Detection and Majority Voting of Bounding Boxes; Satanat Kitsiranuwat, Thitipong Kawichai and Paisit Khanarsa; 2023; Journal article

Expertise

Applied Mathematics
Artificial Intelligence
Data Science
Deep Learning
Machine Learning
Natural Language Processing
Time Series Analysis