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  • Home
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    • Selected Papers (2018~)
    • Selected Papers (2004~2017)
    • Others
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Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on FPGA

Seongsik Park, Jahee Jang, Seijoon Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
paper  link  arXiv  code

01 March 2019
Conference, Sungroh Yoon

How Generative Adversarial Networks and Their Variants Work: An Overview

Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon, ACM Computing Surveys, vol. 52, no. 1, article 1, February 2019.
paper  link  arXiv

01 February 2019
Journal, Sungroh Yoon

Changes in Lesional and Non-lesional Skin Microbiome During Treatment of Atopic Dermatitis

Sunyoung Kwon, Ji Young Choi, Jung-Won Shin, Chang-Hun Huh, Kyoung-Chan Park, Mi-Hee Du, Sungroh Yoon, Jung-Im Na, Acta Dermato-Venereologica, vol. 99, no. 3, pp. 284-290, February 2019.
paper  link

01 February 2019
Journal, Sungroh Yoon, Sunyoung Kwon

DNA Steganalysis using Deep Recurrent Neural Networks

Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2019.
paper  link  arXiv

01 January 2019
Conference, Sungroh Yoon

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk

Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon, in Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, December 2018.
preprint  link  

17 December 2018
Conference, Sungroh Yoon

LncRNAnet: Long Noncoding RNA Identification using Deep Learning

Junghwan Baek, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, Bioinformatics, vol. 34, no. 22, pp. 3889-3897, November 2018.
paper   link

15 November 2018
Byunghan Lee, Journal, Junghwan Baek, Sungroh Yoon, Sunyoung Kwon

Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector

Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon, in Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , LNCS vol. 11071, pp. 693–701, Granada, Spain, September 2018.
paper  link  arXiv

18 September 2018
Conference, Sang-gil Lee, Sungroh Yoon

Deep Learning Based Low-cost High-accuracy Diagnostic Framework for Dementia Using Comprehensive Neuropsychological Assessment Profiles

Hyun-Soo Choi, Jin Yeong Choe, Hanjoo Kim, Ji Won Han, Yeon Kyung Chi, Kayoung Kim, Jongwoo Hong, Taehyun Kim, Tae Hui Kim, Sungroh Yoon, Ki Woong Kim, BMC Geriatrics, vol. 18, no. 1, p. 234, October 2018.
paper  link

14 September 2018
Journal, Sungroh Yoon

XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography

Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon, in Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), pp. 111-121, Washington DC, USA, August 2018.
paper  link

29 August 2018
Conference, Sungroh Yoon

CloudSocket: Fine-Grained Power Sensing System for Datacenters

Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, IEEE Access, vol. 6, no. 1, pp. 49601-49610, September 2018.
paper  link

25 August 2018
Journal, Sungroh Yoon
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