Administrator – Page 20 – Data Science & Artificial Intelligence Laboratory

Automated facies identification using unsupervised clustering

Youngjun Hong, Shinjo Wang, Jeehoon Bae, Jaeyoon Yoo, Sungroh Yoon, Offshore Technology Conference (OTC), Houston, USA, May 2020.
paper link

04 May 2020

Conference, Sungroh Yoon

Anomaly Detection by Learning Dynamics from a Graph

Jaekoo Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 8, no. 1, pp. 64356-64365, March 2020.
paper link

30 March 2020

Journal, Sungroh Yoon

High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells

Hui Kwon Kim, Sungtae Lee, Younggwang Kim, Jinman Park, Seonwoo Min, Jae Woo Choi, Tony P Huang, Sungroh Yoon, David R Liu, Hyongbum Henry Kim, Nature Biomedical Engineering, vol. 4, pp. 111-124, January 2020.
paper link

14 January 2020

Journal, Seonwoo Min, Sungroh Yoon

AnomiGAN: Generative adversarial networks for anonymizing private medical data

Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), vol. 25, pp. 563-574, Hawaii, USA, January 2020.
paper link arXiv

03 January 2020

Conference, Sungroh Yoon

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

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in Proceedings of IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
paper link arXiv

27 October 2019

Conference, Sungroh Yoon

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

End-to-end Representation Learning for Chemical-Chemical Interaction Prediction

Sunyoung Kwon and Sungroh Yoon, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 16, no. 5, pp. 1436-1447, October 2019.
paper link

01 October 2019

Journal, Sunyoung Kwon

Mutual Suppression Network for Video Prediction using Disentangled Features

Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon, in Proceedings of British Machine Vision Conference (BMVC), Cardiff, UK, September 2019.
paper arXiv arXiv

09 September 2019

Conference, Sungroh Yoon

PuVAE: A Variational Autoencoder to Purify Adversarial Examples

Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho, IEEE Access, vol.7, no.1, pp.125682-126593, September 2019.
paper link arXiv

04 September 2019

Journal, Sungroh Yoon

Automated facies identification using unsupervised clustering

Anomaly Detection by Learning Dynamics from a Graph

High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells

AnomiGAN: Generative adversarial networks for anonymizing private medical data

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

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation

Comprehensive Ensemble in QSAR Prediction for Drug Discovery

End-to-end Representation Learning for Chemical-Chemical Interaction Prediction

Mutual Suppression Network for Video Prediction using Disentangled Features

PuVAE: A Variational Autoencoder to Purify Adversarial Examples

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