SCAI TREC-8 Experiments. - Dong-Ho Shin; Yu-Hwan Kim; Sun Kim; Jae-Hong Eom; Hyung-Joo Shin; Byoung-Tak Zhang (TREC, 1999)

PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. - Jae-Hong Eom; Byoung-Tak Zhang (AIMSA, 2004)

BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. - Jae-Hong Eom; Byoung-Tak Zhang (CIT, 2004)

Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions. - Jae-Hong Eom; Byoung-Tak Zhang (CIT, 2004)

Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). - Jae-Hong Eom; Seong-Bae Park; Byoung-Tak Zhang (ICONIP, 2004)

Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. - Jae-Hong Eom; Jeong Ho Chang; Byoung-Tak Zhang (IDEAL, 2004)

Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule. - Jae-Hong Eom; Byoung-Tak Zhang (ICANN (2), 2005)

Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. - Jae-Hong Eom; Byoung-Tak Zhang (KES (2), 2005)

Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. - Jae-Hong Eom; Byoung-Tak Zhang (ICONIP (3), 2006)

Neural Feature Association Rule Mining for Protein Interaction Prediction. - Jae-Hong Eom (ISNN (2), 2006)

Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. - Jae-Hong Eom; Byoung-Tak Zhang (ISNN (2), 2006)

Prediction of the Human Papillomavirus Risk Types Using Gap-Spectrum Kernels. - Sun Kim; Jae-Hong Eom (ISNN (2), 2006)

A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. - Jae-Hong Eom; Sun Kim; Seong-Hwan Kim 006; Byoung-Tak Zhang (KDLL, 2006)

Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. - JungWoo Ha 001; Jae-Hong Eom; Sung-Chun Kim; Byoung-Tak Zhang (GECCO (Companion), 2007)

AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction. - Jae-Hong Eom; Sung-Chun Kim; Byoung-Tak Zhang (Expert Syst. Appl., 2008)

DIDO: a disease-determinants ontology from web sources. - Victoria Nebot Romero; Min Ye 001; Mario Albrecht; Jae-Hong Eom; Gerhard Weikum (WWW (Companion Volume), 2011)

Federating Heterogeneous Biological Resources on the Web: A Case Study on TRP Channel Ontology Construction. - Sejin Nam; Jinhyun Ahn; Jin-Muk Lim; Jae-Hong Eom; Ju-Hong Jeon; Hong-Gee Kim (JIST, 2013)

G-Diff: A Grouping Algorithm for RDF Change Detection on MapReduce. - Jinhyun Ahn; Dong-Hyuk Im; Jae-Hong Eom; Nansu Zong; Hong-Gee Kim (JIST, 2014)

Aligning ontologies with subsumption and equivalence relations in Linked Data. - Nansu Zong; Sejin Nam; Jae-Hong Eom; Jinhyun Ahn; Hyunwhan Joe; Hong-Gee Kim (Knowl. Based Syst., 2015)

xStore: Federated temporal query processing for large scale RDF triples on a cloud environment. - Jinhyun Ahn; Jae-Hong Eom; Sejin Nam; Nansu Zong; Dong-Hyuk Im; Hong-Gee Kim (Neurocomputing, 2017)