Category / Conference
Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks
Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon, in Proceedings of Computing in Cardiology, vol. 47, pp. 1-4, Rimini, Italy, September 2020.
paper link
Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks
Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint link
Improving the accuracy of blood pressure prediction by distilling the knowledge of neural networks
Sanghyun Baek, Byunghan Lee, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint link
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee, Hyungyu Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral Presentation, pp. 272-281, Seattle, USA, June 2020.
paper slides link arXiv suppl
Spiking-YOLO: Spiking Neural Network for Energy-efficient Object Detection
Seijoon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon, in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), vol. 34, no. 7, pp. 11270-11277, New York, USA, February 2020.
paper link arXiv