Category / Conference
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.
Collaborative Analytics for Data Silos
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.
NASCUP: Nucleic Acid Sequence Classification by Universal Probability
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks
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.
Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression
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.