Jaeuk Moon

According to our database, Jaeuk Moon authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Predicting invasive species distributions using incremental ensemble-based pseudo-labeling.

Eunbeen Kim, Jaeuk Moon, Jonghwa Shim, Eenjun Hwang

Ecol. Informatics, March, 2024

Explainable influenza forecasting scheme using DCC-based feature selection.

Sungwoo Park, Jaeuk Moon, Seungwon Jung, Seungmin Rho, Eenjun Hwang

Data Knowl. Eng., January, 2024

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

2023

RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting.

Jaeuk Moon, Seungwon Jung, Sungwoo Park, Eenjun Hwang

IEEE J. Biomed. Health Informatics, May, 2023

DualDiscWaveGAN-Based Data Augmentation Scheme for Animal Sound Classification.

Eunbeen Kim, Jaeuk Moon, Jonghwa Shim, Eenjun Hwang

Sensors, February, 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., January, 2023

Instance segmentation-based review photo validation scheme.

Sungwoo Park, Jaeuk Moon, Seongkuk Cho, Eenjun Hwang

J. Supercomput., 2023

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

VAPER: A deep learning model for explainable probabilistic regression.

Seungwon Jung, Yoona Noh, Jaeuk Moon, Eenjun Hwang

J. Comput. Sci., 2022

2020

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