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2010 – 2019
- 2017
[j3]Jinhyun Ahn
, Jae-Hong Eom, Sejin Nam, Nansu Zong, Dong-Hyuk Im, Hong-Gee Kim:
xStore: Federated temporal query processing for large scale RDF triples on a cloud environment. Neurocomputing 256: 5-12 (2017)- 2015
- [j2]Nansu Zong, Sejin Nam, Jae-Hong Eom, Jinhyun Ahn, Hyunwhan Joe, Hong-Gee Kim:
Aligning ontologies with subsumption and equivalence relations in Linked Data. Knowl. Based Syst. 76: 30-41 (2015) - 2014
- [c17]Jinhyun Ahn, Dong-Hyuk Im, Jae-Hong Eom, Nansu Zong, Hong-Gee Kim:
G-Diff: A Grouping Algorithm for RDF Change Detection on MapReduce. JIST 2014: 230-235 - 2013
- [c16]Sejin Nam, Jinhyun Ahn, Jin-Muk Lim, Jae-Hong Eom, Ju-Hong Jeon, Hong-Gee Kim:
Federating Heterogeneous Biological Resources on the Web: A Case Study on TRP Channel Ontology Construction. JIST 2013: 103-109 - 2011
- [c15]Victoria Nebot Romero, Min Ye, Mario Albrecht, Jae-Hong Eom, Gerhard Weikum:
DIDO: a disease-determinants ontology from web sources. WWW (Companion Volume) 2011: 237-240
2000 – 2009
- 2008
- [j1]Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang:
AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction. Expert Syst. Appl. 34(4): 2465-2479 (2008) - 2007
- [c14]JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang:
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. GECCO (Companion) 2007: 2709-2716 - 2006
- [c13]Jae-Hong Eom, Byoung-Tak Zhang:
Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. ICONIP (3) 2006: 30-39 - [c12]Jae-Hong Eom, Byoung-Tak Zhang:
Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. ISNN (2) 2006: 642-647 - [c11]Jae-Hong Eom:
Neural Feature Association Rule Mining for Protein Interaction Prediction. ISNN (2) 2006: 690-695 - [c10]Sun Kim, Jae-Hong Eom:
Prediction of the Human Papillomavirus Risk Types Using Gap-Spectrum Kernels. ISNN (2) 2006: 710-715 - [c9]Jae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang:
A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. KDLL 2006: 42-52 - 2005
- [c8]Jae-Hong Eom, Byoung-Tak Zhang:
Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule. ICANN (2) 2005: 491-496 - [c7]Jae-Hong Eom, Byoung-Tak Zhang:
Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. KES (2) 2005: 936-942 - 2004
- [c6]Jae-Hong Eom, Byoung-Tak Zhang:
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. AIMSA 2004: 216-225 - [c5]Jae-Hong Eom, Byoung-Tak Zhang:
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. CIT 2004: 11-20 - [c4]Jae-Hong Eom, Byoung-Tak Zhang:
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions. CIT 2004: 49-57 - [c3]Jae-Hong Eom, Seong-Bae Park, Byoung-Tak Zhang:
Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). ICONIP 2004: 1334-1343 - [c2]Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang:
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. IDEAL 2004: 85-91
1990 – 1999
- 1999
- [c1]Dong-Ho Shin, Yu-Hwan Kim, Sun Kim, Jae-Hong Eom, Hyung-Joo Shin, Byoung-Tak Zhang:
SCAI TREC-8 Experiments. TREC 1999
Coauthor Index
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