Kimura Shuhei

キムラシュウヘイ | Kimura Shuhei

Affiliation and department：
Job title： Professor

Research field (2)： Biological, health, and medical informatics , Intelligent informatics

Research keywords (3)： bioinformatics , Machine learning , Evolutionary Computation

Research theme for competitive and other funds (7)：

Show all

Papers (66)：

S.Kimura, Y.Takeda, M.Tokuhisa, M.Okada. Inference of Genetic Networks using Random Forests: Performance Improvement using a New Variable Importance Measure. Chem-Bio Informatics Journal, Vol.22. 2022. 88. 109
S.Kimura, K.Sota, M.Tokuhisa. Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data. Proc. of the 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology. 2022. 123-130
Shuhei Kimura, Daichi Oda, Masato Tokuhisa. Feature Selection using Modified Null Importance. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 2021
S.Kimura, R.Fukutomi, M.Tokuhisa, M.Okada. Inference of genetic networks from time-series and static gene expression data: combining a random-forest-based inference method with feature selection methods. Frontiers in Genetics. 2020. 11. 595912. 1-11
S.Kimura, M.Tokuhisa. Detection of weak relevant variables using random forests. Proc. of the SICE Annual Conference 2020. 2020. 838-845

ｍore...

MISC (20)：

Constructing Corpus of Emotional Responses for Tendency Analysis of Words. 2017. 116. 529. 37-42
Extracting Pairs of Verbs from Blog Entries about Hospital. 2016. 115. 445. 35-39
石原有規, 徳久雅人, 木村周平, 奥健太. Recommending Paragraphs from Wikipedia Page for Tourist. 電子情報通信学会技術研究報告. 2016. 115. 445(NLC2015 44-53). 19-23
KAKINOKI HIDEFUMI, KIMURA SHUHEI, MATSUMURA KOKI. Investment Strategy Optimization to Aim at Risk Management by Evolutionary Algorithm. 2009. 2009. 9. 1-4
KIMURA SHUHEI, MATSUMURA KOKI. Inference of Genetic Networks using LPMs:Assessments of Confidence via Bootstrap Methods. 2009. 2009. 7. 1-6

ｍore...

Books (2)：

Professional career (2)：

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page