| 2011 | WWW | DIDO: a disease-determinants ontology from web sources. | Victoria Nebot Romero, Min Ye, Mario Albrecht, Jae-Hong Eom, Gerhard Weikum |
| 2007 | GECCO | Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. | JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang |
| 2006 | ICONIP | Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2006 | ISNN | Neural Feature Association Rule Mining for Protein Interaction Prediction. | Jae-Hong Eom |
| 2006 | ISNN | Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2006 | ISNN | Prediction of the Human Papillomavirus Risk Types Using Gap-Spectrum Kernels. | Sun Kim, Jae-Hong Eom |
| 2006 | PAKDD | A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. | Jae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang |
| 2005 | ICANN | Prediction of | Jae-Hong Eom, Byoung-Tak Zhang |
| 2005 | KES | Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | AIMSA | PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | CIT | BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | CIT | Adaptive Neural Network-Based Clustering of | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | ICONIP | 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 |
| 2004 | IDEAL | Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. | Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang |