Sungroh Yoon – Page 27 – Data Science & Artificial Intelligence Laboratory

Category / Sungroh Yoon

Collaborative Analytics for Data Silos

Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, and Sang K Cha, in Proceedings of IEEE International Conference on Data Engineering (ICDE), pp. 743-754, Helsinki, Finland, May 2016.
paper link

02 March 2016

Byung-Gon Chun, Conference, Heonseok Ha, Jinkyu Kim, Sang K Cha, Sungroh Yoon

Mining Internet Media for Monitoring Changes of Public Emotions about Infectious Diseases

Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon-Seok Chang, and Sungroh Yoon, in Proceedings of ICDE Workshop on Health Data Management and Mining, Helsinki, Finland, May 2016.
link

01 March 2016

Conference, Jangho Lee, Sungroh Yoon, Sungwoon Choi

DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility

Hanjoo Kim, Jaehong Park, Jaehee Jang, and Sungroh Yoon, arXiv:1602.08191v2 [cs.LG], Februaray 2016.
paper link code

26 February 2016

-DEEPSPARK, arXiv, Hanjoo Kim, Jaehee Jang, Jaehong Park, Sungroh Yoon

NAND Flash Memory with Multiple Page Sizes for High Performance Storage Devices

Jin-Young Kim, Sang-Hoon Park, Hyeokjun Seo, Ki-Whan Song, Sungroh Yoon, and Eui-Young Chung, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no.2, pp. 764-768, February 2016.
paper link

02 February 2016

Eui-Young Chung, Jin-Young Kim, Journal, Ki-Whan Song, Sang-Hoon Park, Sungroh Yoon

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks

Byunghan Lee, Taehoon Lee, Byunggook Na, and Sungroh Yoon, in NIPS Workshop on Machine Learning in Computational Biology/Systems Biology, Montreal, Canada, December 2015.
paper link

22 December 2015

Byunggook Na, Byunghan Lee, Conference, Sungroh Yoon, Taehoon Lee

Distributed Ensemble Learning for Analyzing Nationwide Health-Insurance Databases

Heonseok Ha, Jinkyu Kim, Jaehong Park and Sungroh Yoon, in NIPS Workshop on Machine Learning in Machine Learning for Healthcare, Montreal, Canada, December 2015.
link

02 December 2015

Conference, Heonseok Ha, Jinkyu Kim, Sungroh Yoon

Manifold Regularized Deep Neural Networks using Adversarial Examples

Taehoon Lee, Minsuk Choi, and Sungroh Yoon, arXiv:1511.06381 [cs.LG], November 2015.
paper link

30 November 2015

arXiv, Minsuk Choi, Sungroh Yoon, Taehoon Lee

Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression

Jaekoo Lee, Gunn Kim, and Sungroh Yoon, in Proceedings of IEEE International Conference on Data Mining (ICDM), pp. 829-834, Atlantic City, New Jersey, USA, November 2015.
paper link

02 November 2015

-RICom, Conference, Gunn Kim, Jaekoo Lee, Sungroh Yoon

Big/Little Deep Neural Network for Ultra Low-Power Inference

Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Sungroh Yoon, Gunhee Kim, and Sungjoo Yoo, in Proceedings of International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), pp. 124-132, Amsterdam, The Netherlands, October 2015.
paper link

30 October 2015

Conference, Dongyoung Kim, Eunhyeok Park, Gunhee Kim, Soobeom Kim, Sungjoo Yoo, Sungroh Yoon

FingerNet: Deep Learning-Based Robust Finger Joint Detection from Radiographs

Sungmin Lee, Minsuk Choi, Hyun-Soo Choi, and Sungroh Yoon, in Proceedings of IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 619-622, Atlanta, Georgia, USA, October 2015.
paper link

29 October 2015

Conference, Hyunsoo Choi, Minsuk Choi, Sungmin Lee, Sungroh Yoon