Conditional tabular GAN-based two-stage data generation scheme for short-term load forecasting J Moon, S Jung, S Park, E Hwang IEEE Access 8, 205327-205339, 2020 | 63 | 2020 |
Self-attention-based deep learning network for regional influenza forecasting S Jung, J Moon, S Park, E Hwang IEEE Journal of Biomedical and Health Informatics 26 (2), 922-933, 2021 | 17 | 2021 |
Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting. J Moon, S Jung, S Park, E Hwang Computers, Materials & Continua 68 (3), 2021 | 10 | 2021 |
Anomaly detection using a model-agnostic meta-learning-based variational auto-encoder for facility management J Moon, Y Noh, S Jung, J Lee, E Hwang Journal of Building Engineering 68, 106099, 2023 | 9 | 2023 |
DualDiscWaveGAN-Based Data Augmentation Scheme for Animal Sound Classification E Kim, J Moon, J Shim, E Hwang Sensors 23 (4), 2024, 2023 | 6 | 2023 |
Model-agnostic meta-learning-based region-adaptive parameter adjustment scheme for influenza forecasting J Moon, Y Noh, S Park, E Hwang Journal of King Saud University-Computer and Information Sciences 35 (1 …, 2023 | 5 | 2023 |
Explainable Photovoltaic Power Forecasting Scheme Using BiLSTM S Park, S Jung, J Moon, E Hwang KIPS Trans. Softw. Data Eng 11, 339-346, 2022 | 5 | 2022 |
Cluster-based analysis of infectious disease occurrences using tensor decomposition: a case study of South Korea S Jung, J Moon, E Hwang International journal of environmental research and public health 13 (21), 5634, 2020 | 5 | 2020 |
랜덤 포레스트를 활용한 지역별 하루 단위 감염병 발생 예측 문재욱, 정승원, 김형준, 황인준 한국정보과학회 학술발표논문집, 335-337, 2019 | 4 | 2019 |
RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting J Moon, S Jung, S Park, E Hwang IEEE Journal of Biomedical and Health Informatics, 2023 | 2 | 2023 |
Zero‐Shot Photovoltaic Power Forecasting Scheme Based on a Deep Learning Model and Correlation Coefficient S Park, D Kim, J Moon, E Hwang International Journal of Energy Research 2023 (1), 9936542, 2023 | 2 | 2023 |
VAPER: A deep learning model for explainable probabilistic regression S Jung, Y Noh, J Moon, E Hwang Journal of Computational Science 63, 101824, 2022 | 2 | 2022 |
사회적 변수를 고려한 LSTM 기반 코로나 19 일별 확진자 수 예측 기법 노윤아, 정승원, 문재욱, 황인준 정보과학회 컴퓨팅의 실제 논문지 28 (2), 116-121, 2022 | 2 | 2022 |
Predicting invasive species distributions using incremental ensemble-based pseudo-labeling E Kim, J Moon, J Shim, E Hwang Ecological Informatics 79, 102407, 2024 | 1 | 2024 |
태양광 주기성에 적합한 시간 변수를 반영한 SHAP 기반의 태양광 발전량 예측 정원용, 박성우, 문재욱, 황인준 정보과학회 컴퓨팅의 실제 논문지 28 (3), 196-201, 2022 | 1 | 2022 |
BiLSTM 기반의 설명 가능한 태양광 발전량 예측 기법 박성우, 정승민, 문재욱, 황인준 정보처리학회논문지. 소프트웨어 및 데이터 공학 11 (8), 339-346, 2022 | 1 | 2022 |
LightGBM 을 사용한 SHAP 기반의 설명 가능한 인플루엔자 발생 예측 박성우, 문재욱, 정승원, 정승민, 황인준 한국정보과학회 학술발표논문집, 666-668, 2020 | 1 | 2020 |
A Task-Adaptive Parameter Transformation Scheme for Model-Agnostic-Meta-Learning-Based Few-Shot Animal Sound Classification J Moon, E Kim, J Hwang, E Hwang Applied Sciences 14 (3), 1025, 2024 | | 2024 |
Explainable influenza forecasting scheme using DCC-based feature selection S Park, J Moon, S Jung, S Rho, E Hwang Data & Knowledge Engineering 149, 102256, 2024 | | 2024 |
PCC 기반 기상 변수 유사도를 고려한 제로 샷 태양광 발전율 예측 기법 김동준, 박성우, 문재욱, 황인준 정보과학회논문지 50 (7), 581-587, 2023 | | 2023 |