Fast Adaptive RNN Encoder–Decoder for Anomaly Detection in SMD Assembly Machine YH Park, ID Yun Sensors 18 (10), 3573, 2018 | 36 | 2018 |
Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG YH Park, ID Yun, SH Kang IEEE Access 7, 99964-99977, 2019 | 19 | 2019 |
Anomaly detection in particulate matter sensor using hypothesis pruning generative adversarial network YH Park, WS Park, YB Kim ETRI Journal, 2020 | 16 | 2020 |
Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model YH Park arXiv preprint arXiv:2201.05748, 2022 | 8 | 2022 |
Boost-up efficiency of defective solar panel detection with pre-trained attention recycling YH Park, MJ Kim, U Gim, J Yi IEEE Transactions on Industry Applications 59 (3), 3110-3120, 2023 | 7 | 2023 |
Design of Cost-Effective Auto-Encoder for Electric Motor Anomaly Detection in Resource Constrained Edge Device YH Park, MJ Kim 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, 2021 | 7 | 2021 |
Comparison of RNN encoder-decoder models for anomaly detection YH Park, ID Yun arXiv preprint arXiv:1807.06576, 2018 | 5 | 2018 |
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection YH Park, JH Jung IEEJ Transactions on Electrical and Electronic Engineering, 2022 | 4 | 2022 |
Arrhythmia detection in electrocardiogram based on recurrent neural network encoder–decoder with Lyapunov exponent YH Park, ID Yun IEEJ Transactions on Electrical and Electronic Engineering 14 (8), 1273-1274, 2019 | 4 | 2019 |
Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise YH Park, JH Jung 3rd IEEE 3rd International Conference on Architecture, Construction …, 2021 | 3 | 2021 |
Enhancing Defective Solar Panel Detection with Attention-Guided Statistical Features Using Pre-Trained Neural Networks H Lee, YH Park, J Yi 2024 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2024 | 2 | 2024 |
Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance YH Park, MJ Kim, WS Park 2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023 | 2 | 2023 |
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection YH Park, JS Lee, MJ Kim, W Park arXiv:2112.07214, 2021 | 2 | 2021 |
Visual defect obfuscation based self-supervised anomaly detection YH Park, S Kang, MJ Kim, Y Lee, HS Kim, J Yi Scientific Reports 14 (1), 18872, 2024 | 1* | 2024 |
Neural Network Training Strategy To Enhance Anomaly Detection Performance: A Perspective On Reconstruction Loss Amplification YH Park, S Kang, MJ Kim, H Jeong, H Park, HS Kim, J Yi ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
Latent Vector Expansion using Autoencoder for Anomaly Detection UJ Gim, YH Park arXiv preprint arXiv:2201.01416, 2022 | 1 | 2022 |
Attention! Is Recycling Artificial Neural Network Effective for Maintaining Renewable Energy Efficiency? YH Park, MJ Kim, U Gim 2022 IEEE Texas Power and Energy Conference (TPEC), 1-5, 2022 | 1 | 2022 |
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability YH Park, JS Lee, W Park arXiv preprint arXiv:2104.04120, 2021 | 1 | 2021 |
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection YH Park, S Kang, MJ Kim, HS Kim, J Yi arXiv preprint arXiv:2407.04597, 2024 | | 2024 |
Scene Depth Estimation from Traditional Oriental Landscape Paintings S Kang, YH Park, H Park, J Yi arXiv preprint arXiv:2403.03408, 2024 | | 2024 |