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Publications
1
Citations
28
H-Index
Active since
2023
Jeonglyul Oh is an author specializing in data augmentation, anomaly detection, and outlier detection.
Top concepts
Data MiningEngineeringForecastingData ScienceDeep LearningComputer ScienceMachine LearningAnomaly DetectionData AugmentationOutlier Detection
Publications per year
2023–2023
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song, Keonwoo Kim, Jeonglyul Oh et al. · arXiv (Cornell University) · 2023 · 28 citations · Full text
Data Augmentation, Anomaly Detection, Machine Learning +15
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