Dong-Yeon Cho

Orcid: 0000-0002-4421-9982

According to our database1, Dong-Yeon Cho authored at least 19 papers between 1998 and 2020.

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Bibliography

2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization.
CoRR, 2020

2019
Few-Shot Classification on Unseen Domains by Learning Disparate Modulators.
CoRR, 2019

Discriminative Few-Shot Learning Based on Directional Statistics.
CoRR, 2019

2018
Meta Continual Learning.
CoRR, 2018

2017
NetREX: Network Rewiring Using EXpression - Towards Context Specific Regulatory Networks.
Proceedings of the Research in Computational Molecular Biology, 2017

2016
Understanding Genotype-Phenotype Effects in Cancer via Network Approaches.
PLoS Comput. Biol., 2016

2015
MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types.
Bioinform., 2015

2013
Dissecting Cancer Heterogeneity with a Probabilistic Genotype-Phenotype Model.
Proceedings of the Research in Computational Molecular Biology, 2013

2012
Chapter 5: Network Biology Approach to Complex Diseases.
PLoS Comput. Biol., 2012

2007
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Identification of biochemical networks by S-tree based genetic programming.
Bioinform., 2006

Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks.
Proceedings of the Applications of Evolutionary Computing, 2006

2004
Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model.
Proceedings of the Parallel Problem Solving from Nature, 2004

2002
Evolutionary optimization by distribution estimation with mixtures of factor analyzers.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
System identification using evolutionary Markov chain Monte Carlo.
J. Syst. Archit., 2001

Continuous estimation of distribution algorithms with probabilistic principal component analysis.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Evolving complex group behaviors using genetic programming with fitness switching.
Artif. Life Robotics, 2000

Bayesian evolutionary algorithms for evolving neural tree models of time series data.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1998
Genetic Programming with Active Data Selection.
Proceedings of the Simulated Evolution and Learning, 1998


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