徳久 雅人

Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data 

2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) 2022年8月15日  査読有り

Feature Selection using Modified Null Importance 

2021 IEEE Symposium Series on Computational Intelligence (SSCI) 2021年12月5日  査読有り

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 11 2020年12月15日  査読有り

Detection of Weak Relevant Variables using Random Forests 

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) 2020年9月23日  査読有り

Feature Selection based on Random Forests and its Application to a Modeling of Sewage Treatment Plant 

2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI) 2019年11月  査読有り

Inference of genetic networks using random forests: Assigning different weights for gene expression data 

Journal of Bioinformatics and Computational Biology 17(04) 1950015-1950015 2019年8月  査読有り

小型計算機におけるサービス指向発話文解析 

自然言語処理 26(3) 545-578 2019年  査読有り

Inference of genetic networks from time-series of gene expression levels using random forests 

2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2017 2017年10月4日  査読有り

Correcting Redundant Japanese Sentences Using Patterns and Machine Learning for the Development of Writing Support Systems. 

Int. J. Comput. Linguistics Appl. 7(2) 183-199 2016年  査読有り

Order Estimation of Japanese Paragraphs by Supervised Machine Learning and Various Textual Features 

Journal of Artificial Intelligence and Soft Computing Research 5(4) 247-255 2015年  査読有り