Universal consistency of Wasserstein k-NN classifier. - Donlapark Ponnoprat (CoRR, 2020)

Classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on multi-phase CT scans. - Donlapark Ponnoprat; Papangkorn Inkeaw; Jeerayut Chaijaruwanich; Patrinee Traisathit; Patumrat Sripan; Nakarin Inmutto; Wittanee Na Chiangmai; Donsuk Pongnikorn; Imjai Chitapanarux (Medical Biol. Eng. Comput., 2020)

Short-term daily precipitation forecasting with seasonally-integrated autoencoder. - Donlapark Ponnoprat (Appl. Soft Comput., 2021)

Differential Privacy of Dirichlet Posterior Sampling. - Donlapark Ponnoprat (CoRR, 2021)

Detecting Anomalous LAN Activities under Differential Privacy. - Norrathep Rattanavipanon; Donlapark Ponnoprat; Hideya Ochiai; Kuljaree Tantayakul; Touchai Angchuan; Sinchai Kamolphiwong (CoRR, 2022)

An Explainable Machine Learning Approach to Visual-Interactive Labeling: A Case Study on Non-communicable Disease Data. - Donlapark Ponnoprat; Parichart Pattarapanitchai; Phimphaka Taninpong; Suthep Suantai (CoRR, 2022)

Revolutionizing SET50 Stock Portfolio Management with Deep Reinforcement Learning. - Sukrit Thongkairat; Donlapark Ponnoprat; Phimphaka Taninpong; Woraphon Yamaka (IUKM (1), 2023)

Dirichlet Mechanism for Differentially Private KL Divergence Minimization. - Donlapark Ponnoprat (Trans. Mach. Learn. Res., 2023)

Counting Graphlets of Size k under Local Differential Privacy. - Vorapong Suppakitpaisarn; Donlapark Ponnoprat; Nicha Hirankarn; Quentin Hillebrand (AISTATS, 2025)

Investigating privacy leakage in dimensionality reduction methods via reconstruction attack. - Chayadon Lumbut; Donlapark Ponnoprat (J. Inf. Secur. Appl., 2025)

coverforest: Conformal Predictions with Random Forest in Python. - Panisara Meehinkong; Donlapark Ponnoprat (CoRR, 2025)

Counting Graphlets of Size k under Local Differential Privacy. - Vorapong Suppakitpaisarn; Donlapark Ponnoprat; Nicha Hirankarn; Quentin Hillebrand (CoRR, 2025)