Machine learning for astronomy [link to the micro page]
Learning from noisy labels
High-dimensional data analysis
Aomsap Inkongngam: Automatic Ontology Construction for Heterogeneous Data
Watcharakiart Insri
Xiaofan Zhou
Putanyn Manee
Natthaphong Tangchaiphat
Sukanya Meethong
Taned Singlor: Multi-view Globular Cluster Detection (graduated 2024)
Nathakit Kaewtoomla (co-supervised) working on sentiment analysis (graduated 2024)
Yosawimon Attawong (co-supervised) worked on fabric pattern analysis
Vasin Jinopong (co-supervised) worked on matrix factorisation for recommender systems
Todsapol Kuntharos: Thai Characters Recognition Through Hand Movements in Real-time Video Using Deep Learning Technique on Low-powered devices
Parinya Punsin: Optimising Misclassification Cost for Cost-sensitive Learning on Imbalanced Datasets for Patient Diagnosis Data
Watcharin Sarachai (co-supervised) worked on "Orchids images classification"
Piyawat Khunsongkiat (co-supervised) worked on "Content-based Image Retrieval"
Sangapong Punyakaew (co-supervised) -- "Reinforcement learning for stock price forecasting"
Nida Chinudomsub -- "Learning to classify counterfeit products from unreliable data"
Kraisorawat Punyo (co-supervised) -- "Online regression model for estimating public transport arrival times"
Pichayanart Reerak -- "Analysis of Factors Affecting the Robustness of Convolutional Neural Network Towards Random Noisy Label"