Hogeon Seo

Associate Professor

Korea University of Science and Technology

South Korea

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About

Hogeon Seo is an Associate Professor at Korea University of Science and Technology, South Korea. His research focuses on advanced methodologies in machine learning and optimization, with recent articles exploring topics such as Bayesian optimization, anomaly detection, and deep learning applications in acoustic signal processing. His work aims to enhance the efficiency of systems in various domains through innovative computational techniques.

Articles (14)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (2)

Seunghyoung Ryu

Assistant Professor

Sejong University

SOUTH KOREA

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Kyoobin Lee

Gwangju Institute of Science and Technology

SOUTH KOREA

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Hogeon Seo

Research Interests

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Articles (14)

Defect estimation using surrogate-based Monte Carlo Bayesian optimization

SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning

Can Untrained Neural Networks Detect Anomalies?

Probability propagation for faster and efficient point cloud segmentation using a neural network

Bayesian Optimization for 3D Source Localization from Multi-channel Time-series Signals

Performance Comparison of a Surrogate Model of Acoustic Wave Propagation According to Sampling Methods

Development of deep autoencoder-based anomaly detection system for HANARO

Symmetry-informed surrogates with data-free constraint for real-time acoustic wave propagation

Deep Reinforcement Learning for 3D Localization from Multi-channel Time-series Signals

Deep Learning for 3D Source Localization from Acoustic Emission Signals

Multi-modal Shape Classification using Point Cloud and Projection Images

Video-based Deep Learning for Pipe Vibration Frequency Visualization

Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data

Video-based Deep Learning for Pipe Leakage Visualization

Collaborators (2)

Seunghyoung Ryu

Kyoobin Lee

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