Students’ papers 学生論文一覧

2022

  • Yifan He, Claus Aranha, and Antony Hallam,
    Romain Chassagne Optimization of subsurface models with multiple criteria using Lexicase Selection,
    Operation Research Perspectives 2022.
    DOI: 10.1016/j.orp.2022.100237
  • Yifan He, Claus Aranha, and Tetsuya Sakurai,
    Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation,
    Proceedings of the Genetic and Evolutionary Computation Conference 202, 2022.
    DOI: 10.1145/3520304.3528891
  • Meng Huang, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma,
    Journal of Biomedical Informatics, Vol. 128, 2022, 104049.
    DOI: 10.1016/j.jbi.2022.104049
  • Yuri Lavinas, Claus Aranha, and Gabriela Ochoa,
    Search Trajectories NEtworks of Multiobjective Evolutionary Algorithms,
    EvoApplications 2022: Applications of Evolutionary Computation, 2022.
    DOI: 10.1007/978-3-031-02462-7_15
  • Yuri Lavinas, Marcelo Ladeira, Claus Aranha,
    Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition,
    MIT Press, Evolutionary Computation, 2022, pp. 1-26.
    DOI: 10.1162/evco_a_00306
  • Yuri Lavinas, Gabriela Ochoa, and Claus Aranha,
    Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems,
    Proceedings of the Genetic and Evolutionary Computation Conference 2022, 2022 .
    DOI: 10.1145/3512290.3528719
  • Hongmin Li, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Divide-and-conquer based Large-Scale Spectral Clustering,
    Neurocomputing, Vol. 501, 2022, pp. 664-678.
    DOI: 10.1016/j.neucom.2022.06.006
  • Akihiro Mizoguchi, Akira Imakura, and Tetsuya Sakurai,
    Application of data collaboration analysis to distributed data with misaligned features,
    Informatics in Medicine Unlocked, Vol. 32, 2022 101013.
    DOI: 10.1016/j.imu.2022.101013

2021

  • Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, and Ichiro Kataoka,
    Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks,
    In: Uehara H., Yamaguchi T., Bai Q. (eds) Knowledge Management and Acquisition for Intelligent Systems, PKAW 2021, Lecture Notes in Computer Science 12280, 2021 pp. 1-13.
    DOI: 10.1007/978-3-030-69886-7_1
  • Yuri Lavinas, Abe Mitsu Teru, Yuta Kobayashi, and Claus Aranha,
    MOEA/D with Adaptative Number of WeightVectors,
    Theory and Practice of Natural Computing, 2021.
    DOI: 10.1007/978-3-030-90425-8_7

2020

  • Hongmin Li, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Ensemble Learning for Spectral Clustering,
    2020 IEEE International Conference on Data Mining (ICDM) 2020, pp. 1094-1099  (2020).
    DOI: 10.1109/ICDM50108.2020.00131
  • Hongmin Li, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Hubness-based Sampling Method for Nystrom Spectral Clustering,
    In: Proceedings of The 2020 International Joint Conference on Neural Networks (IJCNN 2020), pp. 1-8 (2020).
    DOI: 10.1109/IJCNN48605.2020.9207089
  • Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai,
    Multiclass spectral feature scaling method for dimensionality reduction,
    Intelligent Data Analysis, Vol. 24,  No. 6, pp. 1273-1287 (2020).
    DOI: 10.3233/IDA-194942
  • Xiucai Ye, Hongmin Li, Akira Imakura, and Tetsuya Sakurai,
    An oversampling framework for imbalanced classification based on Laplacian eigenmaps,
    Neurocomputing, Vol. 399, pp. 107-116 (2020).
    DOI: 10.1016/j.neucom.2020.02.081
  • Hiroyuki Yoda, Akira Imakura, Momo Matsuda, Xiucai Ye, and Tetsuya Sakurai,
    Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis, International Journal of Machine Learning and Computing (IJMLC), Vol. 10, No. 4, pp. 527-533 2020).
    DOI: 10.18178/ijmlc.2020.10.4.968

2019

  • Kyohei Matsumoto, Takafumi Nakanishi, Toshitada Sakawa, Kengo Onodera, Shinichiro Orimo, and Hiroyuki Kobayashi,
    AI-Josyu: Thinking Support System in Class by Real-time Speech Recognition and Keyword Extraction,
    EMITTER International Journal of Engineering Technology Vol.7, No.1, pp. 366-383 (2019).
    DOI: 10.24003/emitter.v7i1.373.
  • Xiucai Ye, Hongmin Li, Akira Imakura and Tetsuya Sakurai,
    Distributed Collaborative Feature Selection Based on Intermediate Representation,
    In Proc. Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-2019), pp. 4142-4149 (2019).

    DOI: 10.24963/ijcai.2019/575.
  • 関川悠太,二村保徳,今倉暁,櫻井鉄也,
    複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証,
    日本応用数理学会論文誌,Vol. 29, No. 1, pp. 141-164 (2019).
    DOI: 10.11540/jsiamt.29.1_141.
  • Akira Imakura, Momo Matsuda, Xiucai Ye and Tetsuya Sakurai,
    Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction,
    In Proc. 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), pp. 3910-3918 (2019).
    DOI: 10.1609/aaai.v33i01.33013910.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Semantic-Dependent Access Log Analysis for Predicting the Demographic Data,
    Information Modelling and Knowledge Bases XXX, IOS Press, Vol.312 of Frontiers in Artificial Intelligence and Applications, pp. 415-434, (2019).
    DOI: 10.3233/978-1-61499-933-1-415

2018

  • Takahiro Yano, Yasunori Futamura, Akira Imakura and Tetsuya Sakurai,
    Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems,
    JSIAM Letters Vol. 10, pp. 77-80 (2018).
    DOI: 10.14495/jsiaml.10.77.
  • Xiucai Ye, Hongmin Li, Tetsuya Sakurai and Zhi Liu,
    Large Scale Spectral Clustering Using Sparse Representation Based on Hubness,
    In Proc. 4th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2018), pp. 1731-1737 (2018).
    DOI: 10.1109/SmartWorld.2018.00293.
  • Haruka Yamada, Akira Imakura and Tetsuya Sakurai,
    Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition,
    JSIAM Letters Vol. 10, pp. 61-64 (2018).
    DOI: 10.14495/jsiaml.10.61.
  • Momo Matsuda, Keiichi Morikuni and Tetsuya Sakurai,
    Spectral Feature Scaling Method for Supervised Dimensionality Reduction,
    In Proc. the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), pp. 2560-2566 (2018).
    DOI: 10.24963/ijcai.2018/355.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Semantic-Dependent Access Log Analysis for Predicting the Demographic Data,
    In Proceedings of the 28th International Conference on Information Modelling and Knowledge Bases – EJC 2018 (2018)
    DOI: 10.3233/978-1-61499-933-1-415
  • Haruka Yamada, Akira Imakura, Toshiyuki Imamura and Tetsuya Sakurai,
    Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing,
    In Proc. 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 957-966 (2018).
    DOI: 10.1109/IPDPSW.2018.00150.

2017

  • Hongjia Chen, Yasuyuki Maeda, Akira Imakura, Tetsuya Sakurai and Francoise Tissur,
    Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems,
    JSIAM Letters Vol. 9, pp. 17-20 (2017).
    DOI: 10.14495/jsiaml.9.17.
  • Yasunori Futamura, Takahiro Yano, Akira Imakura and Tetsuya Sakurai,
    A real-valued block conjugate gradient type method for solving complex symmetric linear systems with multiple right-hand sides,
    Applications of Mathematics Vol. 62, No. 4, pp. 333-355 (2017).
    DOI: 10.21136/AM.2017.0023-17.
  • Hongjia Chen, Akira Imakura and Tetsuya Sakurai,
    Improving backward stability of Sakurai-Sugiura method with balancing technique in polynomial eigenvalue problem,
    Applications of Mathematics Vol. 62, No. 4, pp. 357-375 (2017).
    DOI: 10.21136/AM.2017.0016-17.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Evaluation Indexes of Customer Journey for Contents of Owned Media,
    Information Modelling and Knowledge Bases XXVIII, IOS Press, Vol.292 of Frontiers in Artificial Intelligence and Applications, pp. 362-369, (2017)
    DOI: 10.3233/978-1-61499-720-7-362

2016

  • Tetsuya Hasegawa, Akira Imakura, Tetsuya Sakurai,
    Recovering from accuracy deterioration in the contour integral-based eigensolver,
    JSIAM Letters Vol. 8, pp. 1-4 (2016).
    DOI: 10.14495/jsiaml.8.1.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Evaluation Indexes of Customer Journey for Contents of Owned Media,
    In Proceedings of the 26th International Conference on Information Modelling and Knowledge Bases – EJC 2016,pp. 395-402, Tampere, Finland, Jun. (2016)
    DOI: 10.3233/978-1-61499-720-7-362

2015

  • 前田恭行, 櫻井鉄也,
    周回積分を用いた固有値解法の円弧領域に対する拡張,
    情報処理学会論文誌 コンピューティングシステム, Vol. 8, No. 4, pp. 88-97 (2015).
  • Yasuyuki Maeda, Yasunori Futamura, Akira Imakura and Tetsuya Sakurai,
    Filter analysis for the stochastic estimation of eigenvalue counts,
    JSIAM Letters Vol. 7, pp. 53-56 (2015).
    DOI: 10.14495/jsiaml.7.53.
  • Lijiong Su, Akira Imakura, Hiroto Tadano and Tetsuya Sakurai,
    Improving the convergence behaviour of BiCGSTAB by applying D-norm minimization,
    JSIAM Letters Vol. 7, pp. 37-40 (2015).
    DOI: 10.14495/jsiaml.7.37.
  • Kyohei MATSUMOTO, Ryotaro OKADA, Takafumi NAKANISHI and Takashi KITAGAWA,
    The method of image feature selection for integration of image classification by Bag-of-Keypoints,
    In Proceedings of 2015 International Conference on Computational Science and Computational Intelligence – CSCI-ISAI 2015, CSCI5084-ISAI, pp. 589-594, Las Vegas, Nevada, USA, (Dec. 2015)
    DOI: 10.1109/CSCI.2015.72.

2013

  • Takahiro Yano, Yasunori Futamura and Tetsuya Sakurai,
    Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems,
    In Proc. 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), pp. 121-127 (2013).
    DOI: 10.1109/3PGCIC.2013.24.
  • Tetsuya Sakurai, Yasunori Futamura and Hiroto Tadano,
    Efficient parameter estimation and implementation of a contour integral-based eigensolver,
    J. Alg. Comput. Tech., 7, 3, pp. 249-269 (2013).
    DOI: 10.1260/1748-3018.7.3.249.
  • Shinnosuke Yokota, Tetsuya Sakurai,
    A projection method for nonlinear eigenvalue problems using contour integrals,
    JSIAM Letters Vol. 5, pp. 41-44 (2013).
    DOI: 10.14495/jsiaml.5.41.

2012

  • Michihiro Naito, Hiroto Tadano, Tetsuya Sakurai,
    A modified Block IDR($s$) method for computing high accuracy solutions,
    JSIAM Letters Vol. 4, pp. 25-28 (2012).
    DOI: 10.14495/jsiaml.4.25.
  • 山本和磨,前田恭行,二村保徳,櫻井鉄也,
    非線形固有値問題の固有値密度推定法における適応的並列アルゴリズム,
    情報処理学会論文誌 コンピューティングシステム, Vol. 5, No. 3, pp. 22-29 (2012).

2011

  • Y. Maeda, Y. Futamura and T. Sakurai,
    Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane,
    JSIAM Letters Vol. 3, pp. 61-64 (2011).
    DOI: 10.14495/jsiaml.3.61.
  • I. Yamazaki, H. Tadano, T. Sakurai and K. Teranishi,
    A convergence improvement of the BSAIC preconditioner by deflation,
    JSIAM Letters Vol. 3, pp. 5-8 (2011).
    DOI: 10.14495/jsiaml.3.5.

2010

  • Y. Futamura, H. Tadano and T. Sakurai,
    Parallel stochastic estimation method of eigenvalue distribution,
    JSIAM Letters Vol. 2, pp. 127-130 (2010).
    DOI: 10.14495/jsiaml.2.127.
  • H. Ohno, Y. Kuramashi, H. Tadano and T. Sakurai,
    A quadrature-based eigensolver with a Krylov subspace method for shifted linear systems for Hermitian eigenproblems in lattice QCD,
    JSIAM Letters Vol. 2, pp. 115-118 (2010).
    DOI: 10.14495/jsiaml.2.115.
  • I. Yamazaki, M. Okada, H. Tadano, T. Sakurai and K. Teranishi,
    A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations,
    JSIAM Letters Vol. 2, pp. 41-44 (2010).
    DOI: 10.14495/jsiaml.2.41.
  • J. Asakura, T. Sakurai, H. Tadano, T. Ikegami and K. Kimura,
    A numerical method for polynomial eigenvalue problems using contour integral,
    Japan J. Indust. Appl. Math., Vol. 27, pp. 73-90 (2010).
    DOI: 10.1007/s13160-010-0005-x.

2009

  • T. Sakurai, J. Asakura, H. Tadano and T. Ikegami,
    Error analysis for a matrix pencil of Hankel matrices with perturbed complex moments,
    JSIAM Letters, Vol. 1, pp. 76-79 (2009).
    DOI: 10.14495/jsiaml.1.76.
  • T. Sakurai, J. Asakura, H. Tadano, T. Ikegami and K. Kimura,
    A method for finding zeros of polynomial equations using a contour integral based eigensolver,
    Proc. Symbolic Numeric Computations 2009, Kyoto, pp. 143-147 (2009).
  • J. Asakura, T. Sakurai, H. Tadano, T. Ikegami and K. Kimura,
    A numerical method for nonlinear eigenvalue problems using contour integrals
    JSIAM Letters, Vol.1, pp. 52-55 (2009).
    DOI: 10.14495/jsiaml.1.52.

2008

  • 杉山 貴俊, 岸本 貞弥, 櫻井 鉄也, 北川 高嗣,
    数理分野を対象とした問題解決支援システム”MathGUIde”の数学教育への応用,
    情報処理学会第70回全国大会講演論文集, コンピュータと人間社会, pp.713 – 714 (2008).
  • 木原崇智, 多田野寛人, 櫻井鉄也,
    精度混合型Krylov部分空間反復法における疎行列ベクトル積のCell BE上での実装と性能評価,
    情報処理学会論文誌 コンピューティングシステム, Vol. 1, No. 1, pp. 51-60 (2008).
  • T. Sakurai, Y. Kodaki, H. Tadano, D. Takahashi, M. Sato and U. Nagashima,
    A parallel method for large sparse generalized eigenvalue problems using a grid RPC system,
    Special Issue of Future Generation Computer Systems on Applications of Distributed and Grid Computing, Vol. 24, pp. 613-619 (2008).
  • 山崎 育朗, 岡田 真幸, 多田野 寛人, 櫻井 鉄也, 寺西 慶太,
    ACutoffを 2 重に用いた前処理の性能評価,
    日本応用数理学会論文誌,Vol. 18, No. 4, pp. 631-651 (2008).

2007

  • 先崎健太,多田野寛人,櫻井鉄也,
    AMLS法による固有値分布の推定, 日本応用数理学会論文誌,
    Vol. 17, pp. 511-521 (2007).
  • T. Sakurai, Y. Kodaki, H. Tadano, H. Umeda, Y. Inadomi, T. Watanabe, U. Nagashima,
    A master-worker type eigensolver for molecular orbital computations,
    Proc. Applied Parallel, Computing. State of the Art in Scientific Computing, Lecture Notes in Computer Science, No. 4699, pp. 617-625 (2007).
  • 木原崇智, 小瀧義久, 多田野寛人, 櫻井鉄也,
    GridRPC/MPIハイブリッドによる修正多重リスタート付きArnoldi法,
    情報処理学会ACS論文誌, Vol. 48, No. SIG8, pp. 94-103 (2007).
  • 岡田真幸, 櫻井鉄也, 寺西慶太,
    近似係数行列に対する疎行列用直接解法を用いた前処理,
    日本応用数理学会論文誌, Vol. 17, No. 3, pp. 319-329 (2007).
  • X. Niu, T. Sakurai and H. Sugiura,
    A verified method for bounding clusters of zeros of analytic functions,
    J. Comput. Appl. Math., Vol. 199, No. 2, pp. 263-270 (2007).
  • 岸本貞弥, 村方衛, 中西崇文, 櫻井鉄也, 北川高嗣,
    数理分野を対象とした問題解決支援システム,
    第18回データ工学ワークショップ(DEWS2007), 電子情報通信学会, 電子版 (2007).

2006

  • T. Sakurai, Y. Kodaki, H. Umeda, Y. Inadomi, T. Watanabe and U. Nagashima,
    A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G/MPI,
    Lecture Notes in Computer Science, No. 3743, pp. 438-445 (2006).
  • 岡田真幸, 多田野寛人, 櫻井鉄也,
    複素対称行列に対する前処理の評価方法について,
    日本応用数理学会論文誌, Vol. 16, No. 4, pp.497-505 (2006).
  • 呂毅斌, 伊東拓, 櫻井鉄也,
    多重連結領域数値等角写像のPade近似を用いた電荷点配置法,
    日本応用数理学会論文誌, Vol. 16, No. 3, pp. 149-164 (2006).
  • 村方衛, 岸本貞弥, 大塚透, 中西崇文, 櫻井鉄也, 北川高嗣,
    複合数式検索を対象とした入力支, GUI”MathGUIde”の実現,
    第17回データ工学ワークショップ(DEWS2006), 電子情報通信学会, 電子版 (2006).
  • S. Kishimoto, T. Nakanishi, M. Murakata, T. Otsuka, T. Sakurai, T. Kitagawa,
    An implementation method of an integrated associative search for mathematical expressions,
    The IASTED International Conference on Databases and Applications, DBA 2006, Innsbruck, pp.160-167 (2006).

2005

  • 櫻井鉄也, 多田野寛人, 早川賢太郎, 佐藤三久, 高橋大介, 長嶋雲兵, 稲富雄一, 梅田宏明, 渡邊寿雄,
    大規模固有値問題のmaster-worker型並列解法,
    情報処理学会ACS論文誌, Vol. 46, No. 10, pp. 44-51 (2005).
  • T. Sakurai, K. Hayakawa, M. Sato and D. Takahashi,
    A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment,
    Lecture Notes in Computer Science, No. 3732, pp. 1151-1158 (2005).
  • Y. Lu, T. Itoh, S. Itoh, T. Sakurai,
    Improving the accuracy of numerical conformal mapping by Pade approximation using the Arnoldi method,
    J. Inform. Comput. Sci. Vol. 2 No. 2, pp. 289-294 (2005).
  • 呂毅斌, 伊東拓, 伊藤祥司, 櫻井鉄也,
    Pade近似を用いた数値等角写像計算のArnoldi法による精度改善,
    日本応用数理学会論文誌, Vol. 15, No. 3, pp. 495-500 (2005).
  • 中西崇文, 岸本貞弥, 村方衛, 大塚透, 北川高嗣,
    数式データを対象とした複合連想検索システムの実現,
    日本データベース学会Letters Vol.4, No.1, pp.29-32 (2005).
  • T. Nakanishi, S. Kishimoto, T. Sakurai and H. Kitagawa,
    A construction method of a metadata space based on relations between words from an index of a book,
    Proc. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM ’05, Victoria, pp. 438-441 (2005).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    特定分野を対象とした連想検索のための書籍の索引部を用いたメタデータ空間生成方式,
    電子情報通信学会論文誌, Vol. J88, No. 4, pp. 840-851 (2005).
  • 岸本貞弥, 中西崇文, 村方衛, 大塚透, 櫻井鉄也, 北川高嗣,
    数式データを対象とした複合連想検索システム,
    第16回データ工学ワークショップ(DEWS2005), 電子情報通信学会, 電子版 (2005).
  • 村方衛, 大塚透, 岸本貞弥, 中西崇文, 櫻井鉄也, 北川高嗣,
    複合数式検索を対象とした入力支援GUIの実現,
    第16回データ工学ワークショップ(DEWS2005), 電子情報通信学会, 電子版 (2005).

2004

  • 小笠原匡, 多田野寛人, 櫻井鉄也, 伊藤祥司,
    Shifted Linear Systemsに対するKrylov部分空間反復法と固有値問題への応用,
    日本応用数理学会論文誌, Vol. 14, No. 3, pp. 193-205 (2004).
  • 牛暁明, 櫻井鉄也, 杉浦洋,
    解析関数の多項式因子を求める精度保証付き解法,
    日本応用数理学会論文誌, Vol. 14, No. 1, pp. 59-73 (2004).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    複数の書籍の索引部を用いたメタデータ空間拡張統合方式,
    日本データベース学会Letters, Vol. 3, No. 1, pp. 141-144 (2004).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    複数の書籍の索引部を用いたメタデータ空間拡張統合方式,
    第15回データ工学ワークショップ(DEWS2004)論文集, 電子情報通信学会, 電子版 (2004).
  • 岸本貞弥, 中西崇文, 櫻井鉄也, 北川高嗣,
    数式データを対象とした複合連想検索の実現,
    第15回データ工学ワークショップ(DEWS2004)論文集, 電子情報通信学会, 電子版 (2004).

2003

  • 牛暁明, 櫻井鉄也,
    固有値解法による代数方程式の重根を求める方法,
    応用数理学会論文誌, Vol. 13, No. 4, pp. 447-460 (2003).
  • X. Niu and T. Sakurai,
    A method for finding the zeros of polynomials using a companion matrix,
    Japan J. Indust. Appl. Math. Vol. 20, pp. 239-256 (2003).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    特定分野を対象とした連想検索のためのページベースのメタデータ空間生成方式,
    データベースとWeb情報システムに関するシンポジウム(DBWeb2003)論文集, 電子情報通信学会, pp. 45-52 (2003).
  • 岸本貞弥, 中西崇文, 櫻井鉄也, 北川高嗣, 栃木敏子,
    MathMLを用いた類似数式検索方式の実現,
    第14回データ工学ワークショップ(DEWS2003)論文集, 電子情報通信学会, 電子版 (2003).

1999

  • 櫻井鉄也, 高林記誉宣, 名取亮,
    ランチョス多項式の漸化式計算における数値的不安定性の回避法,
    情報処理学会論文誌, Vol. 40, No. 12, pp. 4169-4177 (1999).

1996

  • 金成海, 張紹良, 名取亮, 櫻井鉄也, 周偉東,
    MCGS法:非対称連立一次方程式のための新しい反復解法,
    情報処理学会論文誌, Vol. 37, No. 11, pp. 2138-2141 (1996).

[:en]

2022

  • Yifan He, Claus Aranha, and Antony Hallam,
    Romain Chassagne Optimization of subsurface models with multiple criteria using Lexicase Selection,
    Operation Research Perspectives 2022.
    DOI: 10.1016/j.orp.2022.100237
  • Yifan He, Claus Aranha, and Tetsuya Sakurai,
    Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation,
    Proceedings of the Genetic and Evolutionary Computation Conference 202, 2022.
    DOI: 10.1145/3520304.3528891
  • Meng Huang, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma,
    Journal of Biomedical Informatics, Vol. 128, 2022, 104049.
    DOI: 10.1016/j.jbi.2022.104049
  • Yuri Lavinas, Gabriela Ochoa, and Claus Aranha,
    Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems,
    Proceedings of the Genetic and Evolutionary Computation Conference 2022, 2022 .
    DOI: 10.1145/3512290.3528719
  • Hongmin Li, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Divide-and-conquer based Large-Scale Spectral Clustering,
    Neurocomputing, Vol. 501, 2022, pp. 664-678.
    DOI: 10.1016/j.neucom.2022.06.006
  • Akihiro Mizoguchi, Akira Imakura, and Tetsuya Sakurai,
    Application of data collaboration analysis to distributed data with misaligned features,
    Informatics in Medicine Unlocked, Vol. 32, 2022 101013.
    DOI: 10.1016/j.imu.2022.101013

2021

  • Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, and Ichiro Kataoka,
    Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks,
    In: Uehara H., Yamaguchi T., Bai Q. (eds) Knowledge Management and Acquisition for Intelligent Systems, PKAW 2021, Lecture Notes in Computer Science 12280, 2021 pp. 1-13.
    DOI: 10.1007/978-3-030-69886-7_1

2020

  • Xiucai Ye, Hongmin Li, Akira Imakura, and Tetsuya Sakurai,
    An oversampling framework for imbalanced classification based on Laplacian eigenmaps,
    Neurocomputing, Vol. 399, pp. 107-116 (2020).
    DOI: 10.1016/j.neucom.2020.02.081
  • Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai,
    Multiclass spectral feature scaling method for dimensionality reduction,
    Intelligent Data Analysis, Vol. 24,  No. 6, pp. 1273-1287 (2020).
    DOI: 10.3233/IDA-194942
  • Hiroyuki Yoda, Akira Imakura, Momo Matsuda, Xiucai Ye, and Tetsuya Sakurai,
    Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis, International Journal of Machine Learning and Computing (IJMLC), Vol. 10, No. 4, pp. 527-533 2020).
    DOI: 10.18178/ijmlc.2020.10.4.968
  • Hongmin Li, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Ensemble Learning for Spectral Clustering,
    2020 IEEE International Conference on Data Mining (ICDM) 2020, pp. 1094-1099  (2020).
    DOI: 10.1109/ICDM50108.2020.00131
  • Hongmin Li, Xiucai Ye, Akira Imakura, and Tetsuya Sakurai,
    Hubness-based Sampling Method for Nystrom Spectral Clustering,
    In: Proceedings of The 2020 International Joint Conference on Neural Networks (IJCNN 2020), pp. 1-8 (2020).
    DOI: 10.1109/IJCNN48605.2020.9207089

2019

  • Kyohei Matsumoto, Takafumi Nakanishi, Toshitada Sakawa, Kengo Onodera, Shinichiro Orimo, and Hiroyuki Kobayashi,
    AI-Josyu: Thinking Support System in Class by Real-time Speech Recognition and Keyword Extraction,
    EMITTER International Journal of Engineering Technology Vol.7, No.1, pp. 366-383 (2019).
    DOI: 10.24003/emitter.v7i1.373.
  • Xiucai Ye, Hongmin Li, Akira Imakura and Tetsuya Sakurai,
    Distributed Collaborative Feature Selection Based on Intermediate Representation,
    In Proc. Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-2019), pp. 4142-4149 (2019).

    DOI: 10.24963/ijcai.2019/575.
  • 関川悠太,二村保徳,今倉暁,櫻井鉄也,
    複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証,
    日本応用数理学会論文誌,Vol. 29, No. 1, pp. 141-164 (2019).
    DOI: 10.11540/jsiamt.29.1_141.
  • Akira Imakura, Momo Matsuda, Xiucai Ye and Tetsuya Sakurai,
    Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction,
    In Proc. 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), pp. 3910-3918 (2019).
    DOI: 10.1609/aaai.v33i01.33013910.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Semantic-Dependent Access Log Analysis for Predicting the Demographic Data,
    Information Modelling and Knowledge Bases XXX, IOS Press, Vol.312 of Frontiers in Artificial Intelligence and Applications, pp. 415-434, (2019).
    DOI: 10.3233/978-1-61499-933-1-415

2018

  • Takahiro Yano, Yasunori Futamura, Akira Imakura and Tetsuya Sakurai,
    Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems,
    JSIAM Letters Vol. 10, pp. 77-80 (2018).
    DOI: 10.14495/jsiaml.10.77.
  • Xiucai Ye, Hongmin Li, Tetsuya Sakurai and Zhi Liu,
    Large Scale Spectral Clustering Using Sparse Representation Based on Hubness,
    In Proc. 4th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2018), pp. 1731-1737 (2018).
    DOI: 10.1109/SmartWorld.2018.00293.
  • Haruka Yamada, Akira Imakura and Tetsuya Sakurai,
    Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition,
    JSIAM Letters Vol. 10, pp. 61-64 (2018).
    DOI: 10.14495/jsiaml.10.61.
  • Momo Matsuda, Keiichi Morikuni and Tetsuya Sakurai,
    Spectral Feature Scaling Method for Supervised Dimensionality Reduction,
    In Proc. the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), pp. 2560-2566 (2018).
    DOI: 10.24963/ijcai.2018/355.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Semantic-Dependent Access Log Analysis for Predicting the Demographic Data,
    In Proceedings of the 28th International Conference on Information Modelling and Knowledge Bases – EJC 2018 (2018)
    DOI: 10.3233/978-1-61499-933-1-415
  • Haruka Yamada, Akira Imakura, Toshiyuki Imamura and Tetsuya Sakurai,
    Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing,
    In Proc. 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 957-966 (2018).
    DOI: 10.1109/IPDPSW.2018.00150.

2017

  • Hongjia Chen, Yasuyuki Maeda, Akira Imakura, Tetsuya Sakurai and Francoise Tissur,
    Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems,
    JSIAM Letters Vol. 9, pp. 17-20 (2017).
    DOI: 10.14495/jsiaml.9.17.
  • Yasunori Futamura, Takahiro Yano, Akira Imakura and Tetsuya Sakurai,
    A real-valued block conjugate gradient type method for solving complex symmetric linear systems with multiple right-hand sides,
    Applications of Mathematics Vol. 62, No. 4, pp. 333-355 (2017).
    DOI: 10.21136/AM.2017.0023-17.
  • Hongjia Chen, Akira Imakura and Tetsuya Sakurai,
    Improving backward stability of Sakurai-Sugiura method with balancing technique in polynomial eigenvalue problem,
    Applications of Mathematics Vol. 62, No. 4, pp. 357-375 (2017).
    DOI: 10.21136/AM.2017.0016-17.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Evaluation Indexes of Customer Journey for Contents of Owned Media,
    Information Modelling and Knowledge Bases XXVIII, IOS Press, Vol.292 of Frontiers in Artificial Intelligence and Applications, pp. 362-369, (2017)
    DOI: 10.3233/978-1-61499-720-7-362

2016

  • Tetsuya Hasegawa, Akira Imakura, Tetsuya Sakurai,
    Recovering from accuracy deterioration in the contour integral-based eigensolver,
    JSIAM Letters Vol. 8, pp. 1-4 (2016).
    DOI: 10.14495/jsiaml.8.1.
  • Kyohei MATSUMOTO, Takafumi NAKANISHI and Takashi KITAGAWA,
    Evaluation Indexes of Customer Journey for Contents of Owned Media,
    In Proceedings of the 26th International Conference on Information Modelling and Knowledge Bases – EJC 2016,pp. 395-402, Tampere, Finland, Jun. (2016)
    DOI: 10.3233/978-1-61499-720-7-362

2015

  • 前田恭行, 櫻井鉄也,
    周回積分を用いた固有値解法の円弧領域に対する拡張,
    情報処理学会論文誌 コンピューティングシステム, Vol. 8, No. 4, pp. 88-97 (2015).
  • Yasuyuki Maeda, Yasunori Futamura, Akira Imakura and Tetsuya Sakurai,
    Filter analysis for the stochastic estimation of eigenvalue counts,
    JSIAM Letters Vol. 7, pp. 53-56 (2015).
    DOI: 10.14495/jsiaml.7.53.
  • Lijiong Su, Akira Imakura, Hiroto Tadano and Tetsuya Sakurai,
    Improving the convergence behaviour of BiCGSTAB by applying D-norm minimization,
    JSIAM Letters Vol. 7, pp. 37-40 (2015).
    DOI: 10.14495/jsiaml.7.37.
  • Kyohei MATSUMOTO, Ryotaro OKADA, Takafumi NAKANISHI and Takashi KITAGAWA,
    The method of image feature selection for integration of image classification by Bag-of-Keypoints,
    In Proceedings of 2015 International Conference on Computational Science and Computational Intelligence – CSCI-ISAI 2015, CSCI5084-ISAI, pp. 589-594, Las Vegas, Nevada, USA, (Dec. 2015)
    DOI: 10.1109/CSCI.2015.72.

2013

  • Takahiro Yano, Yasunori Futamura and Tetsuya Sakurai,
    Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems,
    In Proc. 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), pp. 121-127 (2013).
    DOI: 10.1109/3PGCIC.2013.24.
  • Tetsuya Sakurai, Yasunori Futamura and Hiroto Tadano,
    Efficient parameter estimation and implementation of a contour integral-based eigensolver,
    J. Alg. Comput. Tech., 7, 3, pp. 249-269 (2013).
    DOI: 10.1260/1748-3018.7.3.249.
  • Shinnosuke Yokota, Tetsuya Sakurai,
    A projection method for nonlinear eigenvalue problems using contour integrals,
    JSIAM Letters Vol. 5, pp. 41-44 (2013).
    DOI: 10.14495/jsiaml.5.41.

2012

  • Michihiro Naito, Hiroto Tadano, Tetsuya Sakurai,
    A modified Block IDR($s$) method for computing high accuracy solutions,
    JSIAM Letters Vol. 4, pp. 25-28 (2012).
    DOI: 10.14495/jsiaml.4.25.
  • 山本和磨,前田恭行,二村保徳,櫻井鉄也,
    非線形固有値問題の固有値密度推定法における適応的並列アルゴリズム,
    情報処理学会論文誌 コンピューティングシステム, Vol. 5, No. 3, pp. 22-29 (2012).

2011

  • Y. Maeda, Y. Futamura and T. Sakurai,
    Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane,
    JSIAM Letters Vol. 3, pp. 61-64 (2011).
    DOI: 10.14495/jsiaml.3.61.
  • I. Yamazaki, H. Tadano, T. Sakurai and K. Teranishi,
    A convergence improvement of the BSAIC preconditioner by deflation,
    JSIAM Letters Vol. 3, pp. 5-8 (2011).
    DOI: 10.14495/jsiaml.3.5.

2010

  • Y. Futamura, H. Tadano and T. Sakurai,
    Parallel stochastic estimation method of eigenvalue distribution,
    JSIAM Letters Vol. 2, pp. 127-130 (2010).
    DOI: 10.14495/jsiaml.2.127.
  • H. Ohno, Y. Kuramashi, H. Tadano and T. Sakurai,
    A quadrature-based eigensolver with a Krylov subspace method for shifted linear systems for Hermitian eigenproblems in lattice QCD,
    JSIAM Letters Vol. 2, pp. 115-118 (2010).
    DOI: 10.14495/jsiaml.2.115.
  • I. Yamazaki, M. Okada, H. Tadano, T. Sakurai and K. Teranishi,
    A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations,
    JSIAM Letters Vol. 2, pp. 41-44 (2010).
    DOI: 10.14495/jsiaml.2.41.
  • J. Asakura, T. Sakurai, H. Tadano, T. Ikegami and K. Kimura,
    A numerical method for polynomial eigenvalue problems using contour integral,
    Japan J. Indust. Appl. Math., Vol. 27, pp. 73-90 (2010).
    DOI: 10.1007/s13160-010-0005-x.

2009

  • T. Sakurai, J. Asakura, H. Tadano and T. Ikegami,
    Error analysis for a matrix pencil of Hankel matrices with perturbed complex moments,
    JSIAM Letters, Vol. 1, pp. 76-79 (2009).
    DOI: 10.14495/jsiaml.1.76.
  • T. Sakurai, J. Asakura, H. Tadano, T. Ikegami and K. Kimura,
    A method for finding zeros of polynomial equations using a contour integral based eigensolver,
    Proc. Symbolic Numeric Computations 2009, Kyoto, pp. 143-147 (2009).
  • J. Asakura, T. Sakurai, H. Tadano, T. Ikegami and K. Kimura,
    A numerical method for nonlinear eigenvalue problems using contour integrals
    JSIAM Letters, Vol.1, pp. 52-55 (2009).
    DOI: 10.14495/jsiaml.1.52.

2008

  • 杉山 貴俊, 岸本 貞弥, 櫻井 鉄也, 北川 高嗣,
    数理分野を対象とした問題解決支援システム”MathGUIde”の数学教育への応用,
    情報処理学会第70回全国大会講演論文集, コンピュータと人間社会, pp.713 – 714 (2008).
  • 木原崇智, 多田野寛人, 櫻井鉄也,
    精度混合型Krylov部分空間反復法における疎行列ベクトル積のCell BE上での実装と性能評価,
    情報処理学会論文誌 コンピューティングシステム, Vol. 1, No. 1, pp. 51-60 (2008).
  • T. Sakurai, Y. Kodaki, H. Tadano, D. Takahashi, M. Sato and U. Nagashima,
    A parallel method for large sparse generalized eigenvalue problems using a grid RPC system,
    Special Issue of Future Generation Computer Systems on Applications of Distributed and Grid Computing, Vol. 24, pp. 613-619 (2008).
  • 山崎 育朗, 岡田 真幸, 多田野 寛人, 櫻井 鉄也, 寺西 慶太,
    ACutoffを 2 重に用いた前処理の性能評価,
    日本応用数理学会論文誌,Vol. 18, No. 4, pp. 631-651 (2008).

2007

  • 先崎健太,多田野寛人,櫻井鉄也,
    AMLS法による固有値分布の推定, 日本応用数理学会論文誌,
    Vol. 17, pp. 511-521 (2007).
  • T. Sakurai, Y. Kodaki, H. Tadano, H. Umeda, Y. Inadomi, T. Watanabe, U. Nagashima,
    A master-worker type eigensolver for molecular orbital computations,
    Proc. Applied Parallel, Computing. State of the Art in Scientific Computing, Lecture Notes in Computer Science, No. 4699, pp. 617-625 (2007).
  • 木原崇智, 小瀧義久, 多田野寛人, 櫻井鉄也,
    GridRPC/MPIハイブリッドによる修正多重リスタート付きArnoldi法,
    情報処理学会ACS論文誌, Vol. 48, No. SIG8, pp. 94-103 (2007).
  • 岡田真幸, 櫻井鉄也, 寺西慶太,
    近似係数行列に対する疎行列用直接解法を用いた前処理,
    日本応用数理学会論文誌, Vol. 17, No. 3, pp. 319-329 (2007).
  • X. Niu, T. Sakurai and H. Sugiura,
    A verified method for bounding clusters of zeros of analytic functions,
    J. Comput. Appl. Math., Vol. 199, No. 2, pp. 263-270 (2007).
  • 岸本貞弥, 村方衛, 中西崇文, 櫻井鉄也, 北川高嗣,
    数理分野を対象とした問題解決支援システム,
    第18回データ工学ワークショップ(DEWS2007), 電子情報通信学会, 電子版 (2007).

2006

  • T. Sakurai, Y. Kodaki, H. Umeda, Y. Inadomi, T. Watanabe and U. Nagashima,
    A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G/MPI,
    Lecture Notes in Computer Science, No. 3743, pp. 438-445 (2006).
  • 岡田真幸, 多田野寛人, 櫻井鉄也,
    複素対称行列に対する前処理の評価方法について,
    日本応用数理学会論文誌, Vol. 16, No. 4, pp.497-505 (2006).
  • 呂毅斌, 伊東拓, 櫻井鉄也,
    多重連結領域数値等角写像のPade近似を用いた電荷点配置法,
    日本応用数理学会論文誌, Vol. 16, No. 3, pp. 149-164 (2006).
  • 村方衛, 岸本貞弥, 大塚透, 中西崇文, 櫻井鉄也, 北川高嗣,
    複合数式検索を対象とした入力支, GUI”MathGUIde”の実現,
    第17回データ工学ワークショップ(DEWS2006), 電子情報通信学会, 電子版 (2006).
  • S. Kishimoto, T. Nakanishi, M. Murakata, T. Otsuka, T. Sakurai, T. Kitagawa,
    An implementation method of an integrated associative search for mathematical expressions,
    The IASTED International Conference on Databases and Applications, DBA 2006, Innsbruck, pp.160-167 (2006).

2005

  • 櫻井鉄也, 多田野寛人, 早川賢太郎, 佐藤三久, 高橋大介, 長嶋雲兵, 稲富雄一, 梅田宏明, 渡邊寿雄,
    大規模固有値問題のmaster-worker型並列解法,
    情報処理学会ACS論文誌, Vol. 46, No. 10, pp. 44-51 (2005).
  • T. Sakurai, K. Hayakawa, M. Sato and D. Takahashi,
    A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment,
    Lecture Notes in Computer Science, No. 3732, pp. 1151-1158 (2005).
  • Y. Lu, T. Itoh, S. Itoh, T. Sakurai,
    Improving the accuracy of numerical conformal mapping by Pade approximation using the Arnoldi method,
    J. Inform. Comput. Sci. Vol. 2 No. 2, pp. 289-294 (2005).
  • 呂毅斌, 伊東拓, 伊藤祥司, 櫻井鉄也,
    Pade近似を用いた数値等角写像計算のArnoldi法による精度改善,
    日本応用数理学会論文誌, Vol. 15, No. 3, pp. 495-500 (2005).
  • 中西崇文, 岸本貞弥, 村方衛, 大塚透, 北川高嗣,
    数式データを対象とした複合連想検索システムの実現,
    日本データベース学会Letters Vol.4, No.1, pp.29-32 (2005).
  • T. Nakanishi, S. Kishimoto, T. Sakurai and H. Kitagawa,
    A construction method of a metadata space based on relations between words from an index of a book,
    Proc. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM ’05, Victoria, pp. 438-441 (2005).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    特定分野を対象とした連想検索のための書籍の索引部を用いたメタデータ空間生成方式,
    電子情報通信学会論文誌, Vol. J88, No. 4, pp. 840-851 (2005).
  • 岸本貞弥, 中西崇文, 村方衛, 大塚透, 櫻井鉄也, 北川高嗣,
    数式データを対象とした複合連想検索システム,
    第16回データ工学ワークショップ(DEWS2005), 電子情報通信学会, 電子版 (2005).
  • 村方衛, 大塚透, 岸本貞弥, 中西崇文, 櫻井鉄也, 北川高嗣,
    複合数式検索を対象とした入力支援GUIの実現,
    第16回データ工学ワークショップ(DEWS2005), 電子情報通信学会, 電子版 (2005).

2004

  • 小笠原匡, 多田野寛人, 櫻井鉄也, 伊藤祥司,
    Shifted Linear Systemsに対するKrylov部分空間反復法と固有値問題への応用,
    日本応用数理学会論文誌, Vol. 14, No. 3, pp. 193-205 (2004).
  • 牛暁明, 櫻井鉄也, 杉浦洋,
    解析関数の多項式因子を求める精度保証付き解法,
    日本応用数理学会論文誌, Vol. 14, No. 1, pp. 59-73 (2004).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    複数の書籍の索引部を用いたメタデータ空間拡張統合方式,
    日本データベース学会Letters, Vol. 3, No. 1, pp. 141-144 (2004).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    複数の書籍の索引部を用いたメタデータ空間拡張統合方式,
    第15回データ工学ワークショップ(DEWS2004)論文集, 電子情報通信学会, 電子版 (2004).
  • 岸本貞弥, 中西崇文, 櫻井鉄也, 北川高嗣,
    数式データを対象とした複合連想検索の実現,
    第15回データ工学ワークショップ(DEWS2004)論文集, 電子情報通信学会, 電子版 (2004).

2003

  • 牛暁明, 櫻井鉄也,
    固有値解法による代数方程式の重根を求める方法,
    応用数理学会論文誌, Vol. 13, No. 4, pp. 447-460 (2003).
  • X. Niu and T. Sakurai,
    A method for finding the zeros of polynomials using a companion matrix,
    Japan J. Indust. Appl. Math. Vol. 20, pp. 239-256 (2003).
  • 中西崇文, 岸本貞弥, 櫻井鉄也, 北川高嗣,
    特定分野を対象とした連想検索のためのページベースのメタデータ空間生成方式,
    データベースとWeb情報システムに関するシンポジウム(DBWeb2003)論文集, 電子情報通信学会, pp. 45-52 (2003).
  • 岸本貞弥, 中西崇文, 櫻井鉄也, 北川高嗣, 栃木敏子,
    MathMLを用いた類似数式検索方式の実現,
    第14回データ工学ワークショップ(DEWS2003)論文集, 電子情報通信学会, 電子版 (2003).

1999

  • 櫻井鉄也, 高林記誉宣, 名取亮,
    ランチョス多項式の漸化式計算における数値的不安定性の回避法,
    情報処理学会論文誌, Vol. 40, No. 12, pp. 4169-4177 (1999).

1996

  • 金成海, 張紹良, 名取亮, 櫻井鉄也, 周偉東,
    MCGS法:非対称連立一次方程式のための新しい反復解法,
    情報処理学会論文誌, Vol. 37, No. 11, pp. 2138-2141 (1996).