Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting. - Jaeuk Moon; Seungwon Jung; Sungwoo Park; Eenjun Hwang (IEEE Access, 2020)

VAPER: A deep learning model for explainable probabilistic regression. - Seungwon Jung; Yoona Noh; Jaeuk Moon; Eenjun Hwang (J. Comput. Sci., 2022)

Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting. - Seungwon Jung; Jaeuk Moon; Sungwoo Park; Eenjun Hwang (IEEE J. Biomed. Health Informatics, 2022)

Instance segmentation-based review photo validation scheme. - Sungwoo Park; Jaeuk Moon; Seongkuk Cho; Eenjun Hwang (J. Supercomput., 2023)

Model-agnostic meta-learning-based region-adaptive parameter adjustment scheme for influenza forecasting. - Jaeuk Moon; Yoona Noh; Sungwoo Park; Eenjun Hwang (J. King Saud Univ. Comput. Inf. Sci., 2023)

DualDiscWaveGAN-Based Data Augmentation Scheme for Animal Sound Classification. - Eunbeen Kim; Jaeuk Moon; Jonghwa Shim; Eenjun Hwang (Sensors, 2023)

RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting. - Jaeuk Moon; Seungwon Jung; Sungwoo Park; Eenjun Hwang (IEEE J. Biomed. Health Informatics, 2023)

Data generation scheme for photovoltaic power forecasting using Wasserstein GAN with gradient penalty combined with autoencoder and regression models. - Sungwoo Park; Jaeuk Moon; Eenjun Hwang (Expert Syst. Appl., 2024)

Explainable influenza forecasting scheme using DCC-based feature selection. - Sungwoo Park; Jaeuk Moon; Seungwon Jung; Seungmin Rho; Eenjun Hwang (Data Knowl. Eng., 2024)

Predicting invasive species distributions using incremental ensemble-based pseudo-labeling. - Eunbeen Kim; Jaeuk Moon; Jonghwa Shim; Eenjun Hwang (Ecol. Informatics, 2024)