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Byung Suk Lee

TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection

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Dec 03, 2023
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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

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Sep 14, 2023
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Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge

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Aug 21, 2023
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Establishing Trust in ChatGPT BioMedical Generated Text: An Ontology-Based Knowledge Graph to Validate Disease-Symptom Links

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Aug 07, 2023
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Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

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Oct 04, 2022
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Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

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Jun 09, 2022
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SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations

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Aug 26, 2021
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A Benchmark Study on Time Series Clustering

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Apr 26, 2020
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Analysis of Hydrological and Suspended Sediment Events from Mad River Wastershed using Multivariate Time Series Clustering

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Nov 28, 2019
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Real-time Top-K Predictive Query Processing over Event Streams

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Aug 26, 2015
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