A Circumscriptive Theory for Causal and Evidential Support. - Eunok Paek (AAAI, 1990)

A justification-based theory of explanation. - Eunok Paek (1991)

A justification-based approach to causal reasoning. - Eunok Paek (Int. J. Intell. Syst., 1994)

Automating a Classification Task Based on an Augmented Thesaurus. - Eunok Paek; Hye-Jeong Jeon (IUI, 1997)

An English to Korean Transliteration Model of Extended Markov Window. - Sung Young Jung; SungLim Hong; Eunok Paek (COLING, 2000)

Efficient Buffer Allocation for Asynchronous Linear Pipelines by Design Space Localization. - Jeong-Gun Lee; Euiseok Kim; Jeong-A Lee; Eunok Paek (Asia-Pacific Computer Systems Architecture Conference, 2004)

Automatic Extraction of Proteins and Their Interactions from Biological Text. - Kiho Hong; Junhyung Park; Jihoon Yang; Eunok Paek (Discovery Science, 2005)

MODi : a powerful and convenient web server for identifying multiple post-translational peptide modifications from tandem mass spectra. - Sangtae Kim; Seungjin Na; Ji Woong Sim; Heejin Park; Jaeho Jeong; Hokeun Kim; Younghwan Seo; Jawon Seo; Kong-Joo Lee; Eunok Paek (Nucleic Acids Res., 2006)

High-throughput peptide quantification using mTRAQ reagent triplex. - Joo Yoon; Jeonghun Yeom; Heebum Lee; Kyutae Kim; Seungjin Na; Kunsoo Park; Eunok Paek; Cheolju Lee (BMC Bioinform., 2011)

HiXCorr: a portable high-speed XCorr engine for high-resolution tandem mass spectrometry. - Hyunwoo Kim 003; Hosung Jo; Heejin Park; Eunok Paek (Bioinform., 2015)

ACTG: novel peptide mapping onto gene models. - Seung-Hyuk Choi; Hyunwoo Kim 003; Eunok Paek (Bioinform., 2017)

MutCombinator: identification of mutated peptides allowing combinatorial mutations using nucleotide-based graph search. - Seung-Hyuk Choi; Eunok Paek (Bioinform., 2020)

Deephos: predicted spectral database search for TMT-labeled phosphopeptides and its false discovery rate estimation. - Seungjin Na; Hyunjin Choi; Eunok Paek (Bioinform., 2022)

TIDD: tool-independent and data-dependent machine learning for peptide identification. - Honglan Li; Seungjin Na; Kyu-Baek Hwang; Eunok Paek (BMC Bioinform., 2022)

DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. - Jae-Won Lee; Jong-Hyun Won; Seonggwang Jeon; Yujin Choo; Yubin Yeon; Jin-Seon Oh; Minsoo Kim; Seonhwa Kim; InSuk Joung; Cheongjae Jang; Sung Jong Lee; Tae Hyun Kim; et al. (Bioinform., 2023)