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Conference and Workshop Papers
- 2023
[c7]Junmo An
, Ben Bailey, Richard E. Gregg:
Paradigm Shift from Feature-Based Machine Learning to End-to-End Deep Residual Neural Networks for Pediatric Age Classification from 12-Lead ECG. CinC 2023: 1-4- [c6]Richard E. Gregg, Junmo An, Ben Bailey, Salah S. Al-Zaiti:
An Efficient Linear Phase High-Pass Filter for ECG. CinC 2023: 1-4 - 2022
- [c5]Junmo An, Richard E. Gregg, Soheil Borhani:
Effective Data Augmentation, Filters, and Automation Techniques for Automatic 12-Lead ECG Classification Using Deep Residual Neural Networks. EMBC 2022: 1283-1287 - 2020
- [c4]Junmo An, Jiyeon Kim, Eugene C. Lai, Beom-Chan Lee:
Effects of a Smartphone-Based Wearable Telerehabilitation System for In-Home Dynamic Weight-Shifting Balance Exercises by Individuals with Parkinson's Disease. EMBC 2020: 5678-5681 - 2019
- [c3]Junmo An, Dongyual Yoo, Beom-Chan Lee:
Electrocortical activity changes in response to unpredictable trip perturbations induced by a split-belt treadmill. EMBC 2019: 110-113 - [c2]Mahmut Unan, Junmo An, Ioannis Seimenis, Dipan J. Shah, Nikolaos V. Tsekos:
3D Reconstruction of Tubular Structure Using Radially Deployed Projections. MIPR 2019: 322-327 - 2018
- [c1]Junmo An, Taruna Yadav, Mohammad Badri Ahmadi, Aditya Tarigoppula, Joseph T. Francis:
Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface. EMBC 2018: 73-76
Informal and Other Publications
- 2019
- [i1]Hee-Sun Choi, Junmo An, Jin-Gyun Kim, Jae-Yoon Jung, Juhwan Choi, Grzegorz Orzechowski, Aki Mikkola, Jin-Hwan Choi:
Data-driven simulation for general purpose multibody dynamics using deep neural networks. CoRR abs/1909.02391 (2019)
Coauthor Index
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