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Exome-Based Genome-Wide Association Study and Risk Assessment using Genetic Risk Score to Prostate Cancer in the Korean Population

Jong Jin Oh, Soo Ji Lee, Joo-Yeon Hwang, Dokyoon Kim, Sang Eun Lee, Sung Kyu Hong, Jin-Nyoung Ho, Sungroh Yoon, Joohon Sung, Wun-Jae Kim, and Seok-Soo Byun, Oncotarget, vol. 8, no. 27, pp. 43934-43943, March 2017.
paper  link

24 March 2017
Jin-Nyoung Ho, JongJin Oh, Journal, Seok-Soo Byun, SungKyu Hong, Sungroh Yoon

Transfer Learning for Deep Learning on Graph-Structured Data

Jaekoo Lee, Hyunjae Kim, Jongsun Lee, and Sungroh Yoon, in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), San Francisco, USA, February 2017.
paper  link

12 February 2017
Conference, Hyunjae Kim, Jaekoo Lee, Jongsun Lee, Sungroh Yoon

Training IBM Watson using Automatically Generated Question-Answer Pairs

Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, and Sungroh Yoon, in Proceedings of the Hawaii International Conference on System Sciences (HICSS), pp. 1683-1691, Waikoloa Village, USA, January 2017.
paper  link  arXiv

11 January 2017
Changwoo Jung, Conference, Gyuwan Kim, Jaeyoon Yoo, Jangho Lee, Minseok Kim, Sungroh Yoon

Development and External Validation of the Korean Prostate Cancer Risk Calculator for High-grade Prostate Cancer: Comparison with Two Western Risk Calculators in an Asian Cohort

Jae Young Park, Sungroh Yoon, Man Sik Park, Hoon Choi, Jae Hyun Bae, Du Geon Moon, Sung Kyu Hong, Sang Eun Lee, Chanwang Park, and Seok-Soo Byun, PLOS ONE, 12(1): e0168917, January 2017.
paper  link

03 January 2017
Du Geon Moon, Jae Young Park, Journal, Man Sik Park, SangEun Lee, Seok-Soo Byun, SungKyu Hong, Sungroh Yoon

LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems

Gyuwan Kim, Hayoon Yi, Jangho Lee, Yunheung Paek, and Sungroh Yoon, arXiv:1611.01726 [cs.CR], November 2016.
paper  link

06 November 2016
arXiv, Gyuwan Kim, Jangho Lee, Sungroh Yoon

Neural Universal Discrete Denoiser

Taesup Moon, Seonwoo Min, Byunghan Lee, and Sungroh Yoon,  in Proceedings of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016.
preprint  suppl  link

01 November 2016
Byunghan Lee, Conference, Seonwoo Min, Sungroh Yoon, Taesup Moon

An Efficient Method to Boosting Performance of Spiking Neural Network Training

Seongsik Park, Sang-gil Lee, Hyunha Nam, and Sungroh Yoon,  in the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS) Workshop on Computing with Spikes, Barcelona, Spain, December 2016.
paper  link  arXiv

31 October 2016
Conference, Hyunha Nam, Sang-gil Lee, Seongsik Park, Sungroh Yoon

CloudSocket: Smart Grid Platform for Datacenters

Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Chang-Sung Jeong, and Sungroh Yoon,  in Proceedings of the 34th IEEE International Conference on Computer Design (ICCD), pp. 436-439, Phoenix, USA, October 2016.
paper  link

15 August 2016
Conference, Hanjoo Kim, Hyeokjun Choe, Seijoon Kim, Seil Lee, Sungroh Yoon

Exploiting Compression-Induced Internal Fragmentation for Power-Off Recovery in SSD

Dongwook Kim, Youjip Won, Jaehyuk Cha, Sungroh Yoon, Jongmoo Choi, and Sooyong Kang, IEEE Transactions on Computers, vol. 65, no. 6, pp. 1720-1733, July 2016.
paper  link

30 July 2016
Dongwook Kim, Jaehyuk Cha, Jongmoo Choi, Journal, Sooyong Kang, Sungroh Yoon, Youjip Won

Deep Learning for Bioinformatics and Health Informatics

Sungroh Yoon, tutorial given at the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Seattle, USA, October 2016.
slides  slides (domestic server)  link

14 July 2016
Conference, Sungroh Yoon
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