Search Results for author: Youngeun Nam

Found 4 papers, 4 papers with code

Universal Time-Series Representation Learning: A Survey

1 code implementation8 Jan 2024 Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee

Time-series data exists in every corner of real-world systems and services, ranging from satellites in the sky to wearable devices on human bodies.

Feature Engineering Representation Learning +1

Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses

1 code implementation European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023 Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee

Detecting anomalies in time series has become increasingly challenging as data collection technology develops, especially in realworld communication services, which require contextual information for precise prediction.

Anomaly Detection Time Series

AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series

1 code implementation Proceedings of the AAAI Conference on Artificial Intelligence 2023 Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee

Here, we show that AnoViz streamlines the process of finding a potential cause of an anomaly with a deeper analysis of anomalous instances, giving explainability to any anomaly detector.

Time Series

Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?

1 code implementation7 Apr 2022 TaeYoung Kang, Eunrang Kwon, Junbum Lee, Youngeun Nam, Junmo Song, JeongKyu Suh

We suggest a multilabel Korean online hate speech dataset that covers seven categories of hate speech: (1) Race and Nationality, (2) Religion, (3) Regionalism, (4) Ageism, (5) Misogyny, (6) Sexual Minorities, and (7) Male.

Cultural Vocal Bursts Intensity Prediction

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