Shuhei Kimura

Orcid: 0000-0002-6246-2636

According to our database1, Shuhei Kimura authored at least 34 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Inference of Genetic Networks from Steady-State and Pseudo Time-Series of Single-Cell Gene Expression Data using Modified Random Forests.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021
Feature Selection using Modified Null Importance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Admittance Control-based Bilateral Control System Considering Position Error.
Proceedings of the IEEE International Conference on Mechatronics, 2021

2020
Detection of Weak Relevant Variables using Random Forests.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

2019
Inference of genetic networks using random forests: Assigning different weights for gene expression data.
J. Bioinform. Comput. Biol., 2019

Feature Selection based on Random Forests and its Application to a Modeling of Sewage Treatment Plant.
Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

2018
Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-Series and Static Gene Expression Data.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2017
Inference of genetic networks from time-series of gene expression levels using random forests.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016
Simultaneous execution method of gene clustering and network inference.
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016

Recommending paragraphs of wikipedia pages as a travel guide.
Proceedings of the 9th IEEE International Workshop on Computational Intelligence and Applications, 2016

2015
Improvement of reliabilities of regulations using a hierarchical structure in a genetic network.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Does return null matter?
Proceedings of the 2014 Software Evolution Week, 2014

2013
Development of an efficient parameter estimation method for the inference of Vohradský's neural network models of genetic networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Inference of S-system models of genetic networks by solving linear programming problems and sets of linear algebraic equations.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Move code refactoring with dynamic analysis.
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

2011
Computation of restoration of ligand response in the random kinetics of a prostate cancer cell signaling pathway.
Comput. Methods Programs Biomed., 2011

Constrained multimodal function optimization using a simple evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Inference of Genetic Networks Using Lpms: Assessment of Confidence Values of Regulations.
J. Bioinform. Comput. Biol., 2010

Inferring cluster-based networks from differently stimulated multiple time-course gene expression data.
Bioinform., 2010

Bootstrap Analysis of Genetic Networks inferred by the Method Using LPMs.
Proceedings of the Prodeedings of the 2010 International Conference on Computational Science and Its Applications, 2010

Effective parameter estimation for S-system models using LPMs and evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Genetic network inference as a series of discrimination tasks.
Bioinform., 2009

Inference of genetic networks using linear programming machines: Application of a priori knowledge.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Function approximation approach to the inference of reduced NGnet models of genetic networks.
BMC Bioinform., 2008

Density estimation using crossover kernels and its application to a real-coded genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Inference of Genetic Networks using a Reduced NGnet Model.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm.
Bioinform., 2005

Genetic algorithms using low-discrepancy sequences.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Inference of genetic networks using neural network models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
OBIYagns: a grid-based biochemical simulator with a parameter estimator.
Bioinform., 2004

2003
High dimensional function optimization using a new genetic local search suitable for parallel computers.
Proceedings of the IEEE International Conference on Systems, 2003

Inference of S-system models of genetic networks using a genetic local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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