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

Category / 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

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks

Byunghan Lee, Junghwan Baek, Seunghyun Park, and Sungroh Yoon, in Proceedings of the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), pp. 434-442, Seattle, USA, October 2016.
paper code

14 July 2016

Byunghan Lee, Conference, Junghwan Baek, Seunghyun Park, Sungroh Yoon

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond

Sungmin Lee, Hyeyoung Min, and Sungroh Yoon, Briefings in Bioinformatics, vol. 17, no. 4, pp. 713-727, July 2016.
paper link suppl

01 July 2016

Hyeyoung Min, Journal, Sungmin Lee, Sungroh Yoon

deepMiRGene: Deep Neural Network based Precursor microRNA Prediction

Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, and Sungroh Yoon, arXiv:1605.00017 [cs.LG], May 2016.
paper link

03 May 2016

arXiv, Hyunsoo Choi, Seonwoo Min, Seunghyun Park, Sungroh Yoon

Regularization and Kernelization of the Maximin Correlation Approach

Taehoon Lee, Taesup Moon, Seung Jean Kim, and Sungroh Yoon, IEEE Access, vol. 4, pp. 1385-1392, April 2016.
paper link arXiv

28 March 2016

Journal, Seung Jean Kim, Sungroh Yoon, Taehoon Lee, Taesup Moon

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors

Hyun-Soo Choi, Byunghan Lee, and Sungroh Yoon, IEEE Access, vol. 4, pp. 1266-1273, March 2016.
paper link

21 March 2016

Byunghan Lee, Hyunsoo Choi, Journal, 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