Published
[2023]
Understanding Mental Health Issues in Different Subdomains in Social Networking Services: Computational Analysis of Text-based Reddit Posts
Journal of medical Internet research (JMIR)
SCIE, JCR 2023 IF=7.4, Q1 in Medical Informatics, Health Care Sciences and Services
Kim, S., Cha, J., Kim, D., & Park, E.*
D-ViSA: A Dataset for Detecting Visual Sentiment from Art Images
ICCV23 Artificial Social Intelligence Workshop, Paris, France
In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision
Impact Score=40.60, SJR=5.662, H Index=313
Kim, S., Ahn C., Cha, J., Kim, D., & Park, E.*
[2022]
A lexicon-based approach to examine depression detection in social media: The case of Twitter and university community
Humanities & Social Sciences Communications, 9(325), 1-10
SSCI, A&HCI, JCR 2021 IF=2.731, Q2 in Social Sciences, Interdisciplinary
Cha, J., Kim, S., & Park, E.*
Computational analysis of a collaboration network on human-computer interaction in Korea
Mathematical Biosciences and Engineering, 19(12), 13911–13927
SCIE, JCR 2021 IF=2.194
Lee, S., Kim, J., Choi, E. B., Shin, S., Kim, D., Yu, H., Kim, S., Na, W. S., & Park, E.*
A Study on Building Ground Penetrating Radar Data and Artificial Intelligence-based Cavity Detection
지표 투과 레이더 탐사 데이터 구축과 인공지능 기반 지하 공동 탐지에 대한 연구
In Proceedings of Korea Software Congress 2022 (KSC '22, Korean, pp. 300-302)
Jeong, D., Yu, H., Cha, J., Kim, S., Ahn, H., Chi, Y., Lee, G., Noh, M., & Park, E.*
Accepted
Micro-Locational Fine Dust Prediction Utilizing Machine Learning and Deep Learning Models
Computer Systems Science and Engineering
SCIE, JCR 2022 IF=4.397, Q1 in Computer Science, Hardware & Architecture
Kim, S., Yu, H., Yoon, J., & Park, E.*
EAE-GAN: Emotion-Aware Emoji Generative Adversarial Network for Computationally Modeling Diverse and Fine-Grained Human Emotions
IEEE Transactions on Computational Social Systems
SCIE, JCR 2022 IF=5.0, Q1 in Computer Science, Cybernetics
Lee, S., Kim, S., Chu, Y., Choi, J., & Park, E.* & Woo, S. S.
Under Review
Enhancing Dimensional Image Emotion Detection with a Low-resource Dataset via Two-stage Training
Lee, S., Kim, S., & Park, E.*
MOGAM: A Multimodal Object-oriented Graph Attention Model for depression detection
Cha, J., Kim, S., & Park, E.*