Category / 미분류

Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data

Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, USA, November 2019.
preprint  link

18 November 2019
Conference, Sungroh Yoon, 미분류

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim,  Science Advances, Vol. 5, no. 11, p. eaax9249, November 2019.
paper  link

07 November 2019
Journal, Sungroh Yoon, 미분류

Comprehensive Ensemble in QSAR Prediction for Drug Discovery

Sunyoung Kwon, Ho Bae, Junghee Jo, Sungroh Yoon, in BMC Bioinformatics, vol. 20, no. 1, p. 521, October 2019.
paper link

26 October 2019
Journal, Sungroh Yoon, 미분류

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 146390-146402, October 2019.
paper  link

07 October 2019
Journal, Sungroh Yoon, 미분류

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

Large-Scale Machine Learning of Media Outlets for Understanding Public Reactions to Nation-Wide Viral Infection Outbreaks

Sungwoon Choi, Jangho Lee, Min-Gyu Kang, Hyeyoung Min, Yoon-Seok Chang, and Sungroh Yoon, Methods, vol. 129, pp. 50-59, October 2017.
paper  link

01 October 2017
Hyeyoung Min, Jangho Lee, Journal, Min-Gyu Kang, Sungroh Yoon, Yoon-Seok Chang, 미분류

NC-link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data

Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, and Sungroh Yoon, IEEE Access, vol. 5, no. 1, pp. 5594-5608, April 2017
paper  link

04 April 2017
Jaeyoon Yoo, Jongsun Lee, Journal, Sungroh Yoon, Yongkweon Jeon

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

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

Search

Categories

Annual Archive