| Universal time-series representation learning: A survey P Trirat, Y Shin, J Kang, Y Nam, J Na, M Bae, J Kim, B Kim, JG Lee arXiv preprint arXiv:2401.03717, 2024 | 11 | 2024 |
| Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection Y Nam, S Yoon, Y Shin, M Bae, H Song, JG Lee, BS Lee Proceedings of the ACM on Web Conference 2024, 4204-4215, 2024 | 6 | 2024 |
| Semi-supervised learning for time series collected at a low sampling rate M Bae, Y Shin, Y Nam, YS Lee, JG Lee Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Reinforcement Learning for Time Series Forecasting M Bae, J Park, Y Seo, J Kang, JG Lee 한국정보과학회 학술발표논문집, 786-788, 2024 | | 2024 |
| 사전학습이 없는 선형 프로빙을 활용한 시계열 예측 강준혁， 배민영， 김연수， 이재길 2024 년 한국컴퓨터종합학술대회, 828-830, 2024 | | 2024 |
| Collaborative Aspect-Based Sentimental Analysis Using Category Y Byeon, M Bae, Y Shin, Y Seo, B Kim 한국정보과학회 학술발표논문집, 697-699, 2023 | | 2023 |
| User-Adaptive Ranking System on Mobile Trading Applications T Kim, M Bae, H Jung, Y Nam, Y Shin, H Min 한국정보과학회 학술발표논문집, 1459-1461, 2022 | | 2022 |
| AIS 데이터를 활용한 선박 궤적의 주기적 패턴 마이닝 나지혜， 강준혁， 배민영， 남영은， 이재길 한국정보과학회 학술발표논문집, 111-113, 2021 | | 2021 |
