4 citations · 6 across the 14 of their papers we have counts for
4 papers · 1 filter
A Comprehensive Survey of Deep Learning for Time Series Forecasting: Architectural Diversity and Open Challenges
Jongseon Kim, Hyungjoon Kim, HyunGi Kim +2
Time series forecasting is a critical task that provides key information for decision-making. After traditional statistical and machine learning approaches, various fundamental dee…
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection
Jihun Yi, Sungroh Yoon
In this paper, we address the problem of unsupervised video anomaly detection (UVAD). The task aims to detect abnormal events in test video using unlabeled videos as training data.…
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
Jisoo Mok, Mohammad Kachuee, Shuyang Dai +3
Task-orientated conversational agents interact with users and assist them via leveraging external APIs. A typical task-oriented conversational system can be broken down into three…
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation
Kukjin Choi, Jihun Yi, Jisoo Mok +1
Continuous efforts are being made to advance anomaly detection in various manufacturing processes to increase the productivity and safety of industrial sites. Deep learning replace…