研究業績
著書
西井 龍映, 栄 伸一郎, 小磯 深幸, 落合 啓之, 岡田 勘三, 斎藤 新悟, 白井 朋之, A Mathematical Approach to Research Problems of Science and Technology - Theoretical Basis and Developments in Mathematical Modeling, Springer, Mathematics for Industry Vol. 5, 2014.07.
西井 龍映, 栄伸一郎, 岡田勘三, 落合啓之, 小磯深幸, 斎藤新悟, 白井朋之, 科学・技術の研究課題への数学アプローチ - 数学モデリングの基礎と展開, Kyushu University, COE Lecture Note , 46巻, 2013.02.
若山正人, 高木剛, Kirill Morozov, 平岡裕章, 木村正人, 白井朋之, 西井龍映, 栄伸一郎, 穴井宏和, 福本康秀, 拡がっていく数学 - 期待され``見えない力", 九州大学クローバルCOEプログラム Lecture Note, 37巻, 2012.02.
西井龍映，田中章司郎，飯倉善和 を含む１２名, 衛星リモートセンシング(清水邦夫編著), 共立出版, 第２章 Landsat データ 39-101ページ, 2002.02.
原著論文
Koda,S. , Melgani,F. , Zeggada,A. and Nishii,R., Spatial and structured SVM for multilabel image classification, IEEE Transactions on Geoscience and Remote Sensing, 2018.
Koda,S., Onda,Y., Matsui,H., Takahagi,K., Uehara-Yamaguchi,Y., Shimizu,M.,
Inoue,K., Yoshida,T., Sakurai,T., Honda,H.,Eguchi,S.,Nishii,R. and Mochida,K.,
Diurnal transcriptome and gene network represented through sparse modeling
in brachypodium distachyon, Frontiers in plant science, 2017.
M. Hosotsubo and R. Nishii,Relation between awarding of grants-in-aid for scientific research and characteristics of applicants in Japanese universities.,Scientmetrics,Vol109,1097-1116,2016.
S. Koda, R. Nishii and Y. Fukasawa,Novel wrapper approach for variable selection in support vector machine.,Bulletin of Informatics and Cybernetics,Vol48,105-117,2017.
Shojiro Tanaka, Ryuei Nishii, Incorporation of gridded data into the analysis of remotely-sensed images:: Basic quantitative strategy to analyze defoerestation by population growth., IEEE Geosciece and Remote Sensing Society, 2015.07.
Ryuei Nishii, Shojiro Tanaka, Unified modeling based on SVM and SVR for prediction of forest area ratio by human population density and relief energy., IEEE Geosciece and Remote Sensing Society, 2015.07.
Pan Qin, Ryuei Nishii, Statistical prediction of Dst index by solar wind data and t-distributions., IEEE Transactions on Plasma Sciences, 43, 11, 3908-3915, 2015.11.
主要学会発表等
Ryuei Nishii, Ryosuke Kikiyama and Pan Qin, Feature selection of support
vector regression based on information theoretic criteria, The SIAM Workshop
on Parameter Space Dimension Reduction, 2017喜久山良弐, 西井龍映, サポートベクター回帰における変数選択, 統計関連学会連合大会, 2017
江田智尊, Abdallah Zeggada, Farid Melgani, 西井 龍映, Structured support vector machine を用いた土地被覆画像のマルチラベル判別, 日本分類学会第36回大会, 2017
西井 龍映, 太陽風が弱い地震の引き金であることの統計的検証, 共同研究集会 データサイエンスの発展と実社会への応用, 2017
西井 龍映, 異分野と統計学の相互貢献, AIMaPワークショップ, 2017
Satoru Koda, Ryuei Nishii, Keiichi Mochida, Yoshihiko Onda, Statistical gene analysis and contributions to low-carbon society, I2CNER Annual Symposium, 2018
Satoru Koda, Yoshihiko Onda, Hidetoshi Matsui,Ryuei Nishii and Keiichi Mochida, Statistical gene data analysis and applications to plant growth, International workshop: Data driven crop design technology, 2018
Satoru Koda, Yoshihiko Onda, Hidetoshi Matsui, Kotaro Takahagi, Yukiko Uehara-Yamaguchi, Minami Shimizu, Komaki lnoue, Takuhiro Yoshida, Tetsuya Sakurai, Hiroshi Honda, Shinto Eguchi, Ryuei Nishii, Keiichi Mochida, Diurnal transcriptome and gene network represented through sparse modeling in Brachypodium distachyon, 第59回日本植物生理学会年会, 2018
西井 龍映,Detection of hub genes by sparse modeling of gene expression time series,I2CNER-IMI Joint Symposium,2016/5/25
西井 龍映,ベイジアンネットワークによる構造学習と材料品質への応用ー統計的手法の産業界への貢献ー,2016 年度日本機械学会年次大会,2016/9/13.
Ryuei Nishii and Shojiro Tanaka,Overall review of statistical spatial relations of neighbor cells in deforestation models by human population and topographic attributes,科研費共同研究集会,2016/10/28.
江田 智尊,西井 龍映,深沢 祐太,Support Vector Machineにおける変数選択基準,科研費研究集会,2016/11/16
T. Nakamoto,R. Nishii and S. Eguchi,The prediction of ellipsoids for color matching problem,科研費研究集会,2016/11/16
西井 龍映,太陽風が弱い地震の引き金であることの統計的検証,科研費研究集会,2017/1/28 西井 龍映,Statistical analysis of global gene expression data and applications to plant growth,I²CNER Annual Symposium 2017,2017/2/1
