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Seungwon Jung
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2020 – today
- 2024
- [j14]Sungwoo Park, Jaeuk Moon, Seungwon Jung, Seungmin Rho, Eenjun Hwang:
Explainable influenza forecasting scheme using DCC-based feature selection. Data Knowl. Eng. 149: 102256 (2024) - 2023
- [j13]Jaeuk Moon, Seungwon Jung, Sungwoo Park, Eenjun Hwang:
RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting. IEEE J. Biomed. Health Informatics 27(5): 2585-2596 (2023) - [i1]Jungwoo Lim, Myunghoon Kang, Yuna Hur, Seungwon Jung, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona. CoRR abs/2301.02401 (2023) - 2022
- [j12]Seungwon Jung, Yoona Noh, Jaeuk Moon, Eenjun Hwang:
VAPER: A deep learning model for explainable probabilistic regression. J. Comput. Sci. 63: 101824 (2022) - [j11]Seungwon Jung, Jaeuk Moon, Sungwoo Park, Eenjun Hwang:
Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting. IEEE J. Biomed. Health Informatics 26(2): 922-933 (2022) - 2021
- [j10]Minjae Son, Seungwon Jung, Seungmin Jung, Eenjun Hwang:
BCGAN: A CGAN-based over-sampling model using the boundary class for data balancing. J. Supercomput. 77(9): 10463-10487 (2021) - [j9]Sungwoo Park, Seungmin Jung, Seungwon Jung, Seungmin Rho, Eenjun Hwang:
Sliding window-based LightGBM model for electric load forecasting using anomaly repair. J. Supercomput. 77(11): 12857-12878 (2021) - 2020
- [j8]Jaeuk Moon, Seungwon Jung, Sungwoo Park, Eenjun Hwang:
Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting. IEEE Access 8: 205327-205339 (2020) - [j7]Chung-Il Kim, Yongjang Cho, Seungwon Jung, Jehyeok Rew, Eenjun Hwang:
Animal Sounds Classification Scheme Based on Multi-Feature Network with Mixed Datasets. KSII Trans. Internet Inf. Syst. 14(8): 3384-3398 (2020) - [j6]Chung-Il Kim, Meejoung Kim, Seungwon Jung, Eenjun Hwang:
Simplified Fréchet Distance for Generative Adversarial Nets. Sensors 20(6): 1548 (2020) - [j5]Seungwon Jung, Jihoon Moon, Sungwoo Park, Seungmin Rho, Sung Wook Baik, Eenjun Hwang:
Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation. Sensors 20(6): 1772 (2020) - [c3]Minjae Son, Seungwon Jung, Jihoon Moon, Eenjun Hwang:
BCGAN-Based Over-Sampling Scheme for Imbalanced Data. BigComp 2020: 155-160
2010 – 2019
- 2019
- [j4]Yongsung Kim, Seungwon Jung, Seonmi Ji, Eenjun Hwang, Seungmin Rho:
IoT-based personalized NIE content recommendation system. Multim. Tools Appl. 78(3): 3009-3043 (2019) - [j3]Seungwon Jung, Minjae Son, Chung-Il Kim, Jehyeok Rew, Eenjun Hwang:
Video-based learning assistant scheme for sustainable education. New Rev. Hypermedia Multim. 25(3): 161-181 (2019) - [j2]Jehyeok Rew, Sungwoo Park, Yongjang Cho, Seungwon Jung, Eenjun Hwang:
Animal Movement Prediction Based on Predictive Recurrent Neural Network. Sensors 19(20): 4411 (2019) - 2018
- [j1]Seungwon Jung, Yongsung Kim, Eenjun Hwang:
Real-time car tracking system based on surveillance videos. EURASIP J. Image Video Process. 2018: 133 (2018) - [c2]Yongsung Kim, Seonmi Ji, Seungwon Jung, Jihoon Moon, Eenjun Hwang:
Semantic Enrichment of Twitter News for Differentiated STEAM Education. BigComp 2018: 487-490 - [c1]Seonmi Ji, Yongsung Kim, Seungwon Jung, Eenjun Hwang:
An Educational Video Scoring Scheme for Level and Topic-based Recommendation. IMCOM 2018: 12:1-12:5
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