Semantic Enrichment of Twitter News for Differentiated STEAM Education. - Yongsung Kim; Seonmi Ji; Seungwon Jung; Jihoon Moon; Eenjun Hwang (BigComp, 2018)

An Educational Video Scoring Scheme for Level and Topic-based Recommendation. - Seonmi Ji; Yongsung Kim; Seungwon Jung; Eenjun Hwang (IMCOM, 2018)

Real-time car tracking system based on surveillance videos. - Seungwon Jung; Yongsung Kim; Eenjun Hwang (EURASIP J. Image Video Process., 2018)

IoT-based personalized NIE content recommendation system. - Yongsung Kim; Seungwon Jung; Seonmi Ji; Eenjun Hwang; Seungmin Rho (Multim. Tools Appl., 2019)

Video-based learning assistant scheme for sustainable education. - Seungwon Jung; Minjae Son; Chung-Il Kim; Jehyeok Rew; Eenjun Hwang (New Rev. Hypermedia Multim., 2019)

Animal Movement Prediction Based on Predictive Recurrent Neural Network. - Jehyeok Rew; Sungwoo Park; Yongjang Cho; Seungwon Jung; Eenjun Hwang (Sensors, 2019)

BCGAN-Based Over-Sampling Scheme for Imbalanced Data. - Minjae Son; Seungwon Jung; Jihoon Moon; Eenjun Hwang (BigComp, 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)

Animal Sounds Classification Scheme Based on Multi-Feature Network with Mixed Datasets. - Chung-Il Kim; Yongjang Cho; Seungwon Jung; Jehyeok Rew; Eenjun Hwang (KSII Trans. Internet Inf. Syst., 2020)

Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation. - Seungwon Jung; Jihoon Moon; Sungwoo Park; Seungmin Rho; Sung Wook Baik; Eenjun Hwang (Sensors, 2020)

Simplified Fréchet Distance for Generative Adversarial Nets. - Chung-Il Kim; Meejoung Kim; Seungwon Jung; Eenjun Hwang (Sensors, 2020)

Sliding window-based LightGBM model for electric load forecasting using anomaly repair. - Sungwoo Park; Seungmin Jung; Seungwon Jung; Seungmin Rho; Eenjun Hwang (J. Supercomput., 2021)

BCGAN: A CGAN-based over-sampling model using the boundary class for data balancing. - Minjae Son; Seungwon Jung; Seungmin Jung; Eenjun Hwang (J. Supercomput., 2021)

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)

You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona. - Jungwoo Lim; Myunghoon Kang; Yuna Hur; Seungwon Jung; Jinsung Kim; Yoonna Jang; Dongyub Lee; Hyesung Ji; Dong-Hoon Shin; Seungryong Kim; Heuiseok Lim (CoRR, 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)

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