Youngeun Nam

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Semi Supervised Learning Algorithms

Multivariate Time Series

Manifold Regularization

Top Venues

Publications

Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee
Universal Time-Series Representation Learning: A Survey. CoRR (2024)
Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee
Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. KDD (2024)
Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. WWW (2024)
Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. ECML/PKDD (6) (2023)
Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. AAAI (2023)
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. AAAI (2022)
Taeyoung Kang, Eunrang Kwon, Junbum Lee, Youngeun Nam, Junmo Song, JeongKyu Suh
Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech? CoRR (2022)
Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. KDD (2020)