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2020 – today
- 2024
[j15]Minkyu Kim
, Hyun-Soo Choi, Jinho Kim:
Explicit Feature Interaction-Aware Graph Neural Network. IEEE Access 12: 15438-15446 (2024)- [j14]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: 34993-35007 (2024) - [j13]Gwiseong Moon, Doohee Lee, Woojin Kim, Yoon Kim, Kun Yong Sung, Hyun-Soo Choi:
Very fast, high-resolution aggregation 3D detection CAM to quickly and accurately find facial fracture areas. Comput. Methods Programs Biomed. 256: 108379 (2024) - [j12]Hyun-Soo Choi, Roger K. Loh:
Physical Frictions and Digital Banking Adoption. Manag. Sci. 70(10): 6597-6621 (2024) - 2023
- [j11]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: 22297-22306 (2023) - [j10]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): 331-342 (2023) - [c11]Jihyeong Park, Hyun-Soo Choi, Sunhwa Jo, Jinho Kim:
Disease Prediction with Heterogeneous Graph of Electronic Health Records and Toxicogenomics Data. DATA 2023: 97-104 - [c10]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. ICML 2023: 12389-12410 - [i7]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. CoRR abs/2305.15734 (2023) - 2022
- [j9]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: 79061-79070 (2022) - [j8]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): 888-898 (2022) - [j7]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): 3343-3356 (2022) - [c9]Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-Series Anomaly Detection. AAAI 2022: 7194-7201 - [i6]Minkyu Kim, Hyun-Soo Choi, Jinho Kim:
Explicit Feature Interaction-aware Graph Neural Networks. CoRR abs/2204.03225 (2022) - [i5]Minkyu Kim, Hyun-Soo Choi, Jinho Kim:
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions. CoRR abs/2209.15409 (2022) - 2021
- [j6]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: 123912-123926 (2021) - [j5]Dong Beom Choi, Hyun-Soo Choi:
The Effect of Monetary Policy on Bank Wholesale Funding. Manag. Sci. 67(1): 388-416 (2021) - [c8]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: 1-4 - [i4]Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-series Anomaly Detection. CoRR abs/2109.05257 (2021) - 2020
- [c7]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: 1-4 - [c6]Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon:
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB 2020: 563-574
2010 – 2019
- 2019
- [j4]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: 96495-96505 (2019) - [j3]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: 146390-146402 (2019) - [c5]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: 664-667 - [i3]Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon:
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR abs/1902.10905 (2019) - [i2]Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. CoRR abs/1912.05625 (2019) - 2018
- [j2]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): 441-451 (2018) - [c4]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: 111-121 - [c3]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: 71-80 - 2017
- [c2]Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. NIPS 2017: 2891-2900 - 2016
- [j1]Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors. IEEE Access 4: 1266-1273 (2016) - [i1]Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. CoRR abs/1605.00017 (2016) - 2015
- [c1]Sungmin Lee, Minsuk Choi, Hyun-Soo Choi, Moon Seok Park, Sungroh Yoon:
FingerNet: Deep learning-based robust finger joint detection from radiographs. BioCAS 2015: 1-4
Coauthor Index
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