Shuhei Kimura
Orcid: 0000-0002-6246-2636
According to our database1,
Shuhei Kimura
authored at least 36 papers
between 2003 and 2024.
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Bibliography
2024
A Bias in Training Data Degrades the Quality of Variable Importance Scores of Random Forests.
Proceedings of the Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, 2024
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
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE International Conference on Mechatronics, 2021
2020
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
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016
Proceedings of the 9th IEEE International Workshop on Computational Intelligence and Applications, 2016
2015
An Effective Method for the Inference of Reduced S-system Models of Genetic Networks.
Inf. Media Technol., 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
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
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
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
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
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2003