Hyun-Soo Choi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Hidden Information

Machine Learning

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Minkyu Kim, Hyun-Soo Choi, Jinho Kim
Explicit Feature Interaction-Aware Graph Neural Network. IEEE Access 12 (2024)
Vo-Nguyen Tuyet-Doan, Youngwoo Youn, Hyun-Soo Choi, Yong-Hwa Kim
Shared Knowledge-Based Contrastive Federated Learning for Partial Discharge Diagnosis in Gas-Insulated Switchgear. IEEE Access 12 (2024)
Dong Hwan Hwang, So Hyeon Bak, Tae-Jun Ha, Yoon Kim, Woojin Kim, Hyun-Soo Choi
Multi-View Computed Tomography Network for Osteoporosis Classification. IEEE Access 11 (2023)
Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
On the Impact of Knowledge Distillation for Model Interpretability. ICML (2023)
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
On the Impact of Knowledge Distillation for Model Interpretability. CoRR (2023)
Jihyeong Park, Hyun-Soo Choi, Sunhwa Jo, Jinho Kim
Disease Prediction with Heterogeneous Graph of Electronic Health Records and Toxicogenomics Data. DATA (2023)
Minkyu Kim, Hyun-Soo Choi, Jinho Kim
Explicit Feature Interaction-aware Graph Neural Networks. CoRR (2022)
Gwiseong Moon, Seola Kim, Woojin Kim, Yoon Kim, Yeonjin Jeong, Hyun-Soo Choi
Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model. IEEE Access 10 (2022)
Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Minkyu Kim, Hyun-Soo Choi, Jinho Kim
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions. CoRR (2022)
Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Towards a Rigorous Evaluation of Time-Series Anomaly Detection. AAAI (2022)
Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. IEEE Access 9 (2021)
Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Towards a Rigorous Evaluation of Time-series Anomaly Detection. CoRR (2021)
Dong Beom Choi, Hyun-Soo Choi
The Effect of Monetary Policy on Bank Wholesale Funding. Manag. Sci. 67 (1) (2021)
Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Sungroh Yoon
Towards High Generalization Performance on Electrocardiogram Classification. CinC (2021)
Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon
Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks. CinC (2020)
Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB (2020)
Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. CoRR (2019)
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR (2019)
Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon
Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. IEEE Access 7 (2019)
Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim
Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks. IEEE Access 7 (2019)
Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon
Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data. BIBM (2019)
Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon
Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk. BDCAT (2018)
Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, Sungroh Yoon
hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon
XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography. BCB (2018)
Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. NIPS (2017)
Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. CoRR (2016)
Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors. IEEE Access 4 (2016)
Sungmin Lee, Minsuk Choi, Hyun-Soo Choi, Moon Seok Park, Sungroh Yoon
FingerNet: Deep learning-based robust finger joint detection from radiographs. BioCAS (2015)