Byung Suk Lee

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Anomaly Detection

Anomalous Behavior

Neural Architecture

Detecting Anomalous

Top Venues

Publications

Ali Javed, Donna M. Rizzo, Byung Suk Lee, Robert Gramling
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. Data Min. Knowl. Discov. 38 (3) (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)
Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
Context Consistency Regularization for Label Sparsity in Time Series. ICML (2023)
Hwan Kim, Junghoon Kim, Byung Suk Lee, Sungsu Lim
Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge. CoRR (2023)
Ijaz Ul Haq, Byung Suk Lee
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection. CoRR (2023)
Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo, Julia N. Perdrial
An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone. CoRR (2023)
Ahmed Abdeen Hamed, Alessandro Crimi, Magdalena M. Misiak, Byung Suk Lee
Establishing Trust in ChatGPT BioMedical Generated Text: An Ontology-Based Knowledge Graph to Validate Disease-Symptom Links. CoRR (2023)
Byung Suk Lee, John Clay Kaufmann, Donna M. Rizzo, Ijaz Ul Haq
Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data. SIMBig (2022)