A Genetic Hybrid For Critical Heat Flux Function Approximation. - Yung-Keun Kwon; Sung-Deok Hong; Byung Ro Moon (GECCO, 2002)

Problem-Independent Schema Synthesis for Genetic Algorithms. - Yong-Hyuk Kim; Yung-Keun Kwon; Byung Ro Moon (GECCO, 2003)

Daily Stock Prediction Using Neuro-genetic Hybrids. - Yung-Keun Kwon; Byung Ro Moon (GECCO, 2003)

Assignment Copy Detection Using Neuro-genetic Hybrids. - Seung-Jin Yang; Yong-Geon Kim; Yung-Keun Kwon; Byung Ro Moon (GECCO, 2003)

Evolving Features in Neural Networks for System Identification. - Yung-Keun Kwon; Byung Ro Moon (GECCO (2), 2004)

Evolutionary Ensemble for Stock Prediction. - Yung-Keun Kwon; Byung Ro Moon (GECCO (2), 2004)

Stock prediction based on financial correlation. - Yung-Keun Kwon; Sung-Soon Choi; Byung Ro Moon (GECCO, 2005)

Nonlinear feature extraction using a neuro genetic hybrid. - Yung-Keun Kwon; Byung Ro Moon (GECCO, 2005)

Nonlinear parametric regression in genetic programming. - Yung-Keun Kwon; Sung-Soon Choi; Byung Ro Moon (GECCO, 2006)

Analysis of feedback loops and robustness in network evolution based on Boolean models. - Yung-Keun Kwon; Kwang-Hyun Cho (BMC Bioinform., 2007)

Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on Boolean network modeling. - Yung-Keun Kwon; Sun Shim Choi; Kwang-Hyun Cho (BMC Bioinform., 2007)

Properties of Symmetric Fitness Functions. - Sung-Soon Choi; Yung-Keun Kwon; Byung Ro Moon (IEEE Trans. Evol. Comput., 2007)

A Hybrid Neurogenetic Approach for Stock Forecasting. - Yung-Keun Kwon; Byung Ro Moon (IEEE Trans. Neural Networks, 2007)

Quantitative analysis of robustness and fragility in biological networks based on feedback dynamics. - Yung-Keun Kwon; Kwang-Hyun Cho (Bioinform., 2008)

Coherent coupling of feedback loops: a design principle of cell signaling networks. - Yung-Keun Kwon; Kwang-Hyun Cho (Bioinform., 2008)

The effects of feedback loops on disease comorbidity in human signaling networks. - Duc-Hau Le; Yung-Keun Kwon (Bioinform., 2011)

NetDS: a Cytoscape plugin to analyze the robustness of dynamics and feedforward/feedback loop structures of biological networks. - Duc-Hau Le; Yung-Keun Kwon (Bioinform., 2011)

GPEC: A Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection. - Duc-Hau Le; Yung-Keun Kwon (Comput. Biol. Chem., 2012)

A coherent feedforward loop design principle to sustain robustness of biological networks. - Duc-Hau Le; Yung-Keun Kwon (Bioinform., 2013)

Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization. - Duc-Hau Le; Yung-Keun Kwon (Comput. Biol. Chem., 2013)

A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction. - Duc-Hau Le; Nguyen Xuan Hoai; Yung-Keun Kwon (KSE, 2014)

Hierarchical closeness efficiently predicts disease genes in a directed signaling network. - Tien-Dzung Tran; Yung-Keun Kwon (Comput. Biol. Chem., 2014)

Effective Boolean dynamics analysis to identify functionally important genes in large-scale signaling networks. - Hung-Cuong Trinh; Yung-Keun Kwon (Biosyst., 2015)

Edge-based sensitivity analysis of signaling networks by using Boolean dynamics. - Hung-Cuong Trinh; Yung-Keun Kwon (Bioinform., 2016)

Properties of Boolean dynamics by node classification using feedback loops in a network. - Yung-Keun Kwon (BMC Syst. Biol., 2016)

MORO: a Cytoscape app for relationship analysis between modularity and robustness in large-scale biological networks. - Cong-Doan Truong; Tien-Dzung Tran; Yung-Keun Kwon (BMC Syst. Biol., 2016)

Dynamical Robustness against Multiple Mutations in Signaling Networks. - Yung-Keun Kwon; Junil Kim; Kwang-Hyun Cho (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Construction and analysis of gene-gene dynamics influence networks based on a Boolean model. - Maulida Mazaya; Hung-Cuong Trinh; Yung-Keun Kwon (BMC Syst. Biol., 2017)

Investigation on changes of modularity and robustness by edge-removal mutations in signaling networks. - Cong-Doan Truong; Yung-Keun Kwon (BMC Syst. Biol., 2017)

A Boolean network inference from time-series gene expression data using a genetic algorithm. - Shohag Barman; Yung-Keun Kwon (Bioinform., 2018)

An Empirical Study on Importance of Modeling Parameters and Trading Volume-Based Features in Daily Stock Trading Using Neural Networks. - Thuy-An Dinh; Yung-Keun Kwon (Informatics, 2018)

A Boolean network inference from time-series gene expression data using a statistical method. - Shohag Barman; Hira Lal Gope; Yung-Keun Kwon (ICCA, 2020)

A neuro-evolution approach to infer a Boolean network from time-series gene expressions. - Shohag Barman; Yung-Keun Kwon (Bioinform., 2020)

A novel constrained genetic algorithm-based Boolean network inference method from steady-state gene expression data. - Hung-Cuong Trinh; Yung-Keun Kwon (Bioinform., 2021)