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Tetsuya Sakurai
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2020 – today
- 2022
- [j56]Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei
:
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinform. 38(6): 1514-1524 (2022) - [j55]Xiaoqing Ru
, Xiucai Ye, Tetsuya Sakurai, Quan Zou
:
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinform. 38(7): 1964-1971 (2022) - [j54]Meng Huang, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. J. Biomed. Informatics 128: 104049 (2022) - [j53]Hongjia Chen, Ke Zhang, Tetsuya Sakurai:
The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method. Numer. Linear Algebra Appl. 29(2) (2022) - [c41]Mitsuteru Abe, Fabio Henrique Kiyoiti dos Santos Tanaka, Jair Pereira Junior, Anna Bogdanova, Tetsuya Sakurai, Claus Aranha:
Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. AAMAS 2022: 1-8 - 2021
- [j52]Xiaoqing Ru
, Xiucai Ye, Tetsuya Sakurai, Quan Zou
:
Application of learning to rank in bioinformatics tasks. Briefings Bioinform. 22(5) (2021) - [j51]Lesong Wei, Xiucai Ye, Yuyang Xue, Tetsuya Sakurai, Leyi Wei
:
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. Briefings Bioinform. 22(5) (2021) - [j50]Akira Imakura, Hiroaki Inaba, Yukihiko Okada
, Tetsuya Sakurai:
Interpretable collaborative data analysis on distributed data. Expert Syst. Appl. 177: 114891 (2021) - [j49]Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai
:
Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. SN Comput. Sci. 2(4): 239 (2021) - [c40]Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML 2021: 932-947 - [c39]Yuta Kobayashi, Claus Aranha, Tetsuya Sakurai:
Dynamic adaptation of decomposition vector set size for MOEA/D. GECCO Companion 2021: 181-182 - [c38]Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia 2021: 83-89 - [c37]Yasunori Futamura, Tetsuya Sakurai:
Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning. HPC Asia 2021: 90-99 - [c36]Yasunori Futamura, Ryota Wakaki, Tetsuya Sakurai:
Spectral Graph Partitioning Using Geodesic Distance-based Projection. HPEC 2021: 1-7 - [c35]Kotaro Sakamoto, Keiichi Morikuni, Tetsuya Sakurai, Sumire Matsumoto, Kaspar Vogt:
Online Spectral Classification for Long-Term Spike Sorting. ICMHI 2021: 89-97 - [c34]Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai:
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN 2021: 1-7 - [i13]Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai:
Accuracy and Privacy Evaluations of Collaborative Data Analysis. CoRR abs/2101.11144 (2021) - [i12]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Divide-and-conquer based Large-Scale Spectral Clustering. CoRR abs/2104.15042 (2021) - [i11]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
LSEC: Large-scale spectral ensemble clustering. CoRR abs/2106.09852 (2021) - [i10]Akira Imakura, Tetsuya Sakurai:
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. CoRR abs/2109.13655 (2021) - [i9]Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. CoRR abs/2112.05395 (2021) - 2020
- [j48]Xiucai Ye
, Weihang Zhang, Tetsuya Sakurai:
Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. IEEE Access 8: 154354-154362 (2020) - [j47]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24(6): 1273-1287 (2020) - [j46]Xiucai Ye
, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing 399: 107-116 (2020) - [c33]Yifan He, Claus Aranha, Tetsuya Sakurai:
Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search. BIOMA 2020: 56-68 - [c32]Jair Pereira Junior, Claus Aranha, Tetsuya Sakurai:
A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design. CEC 2020: 1-8 - [c31]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Ensemble Learning for Spectral Clustering. ICDM 2020: 1094-1099 - [c30]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN 2020: 1-8 - [c29]Suhyeon Baek, Akira Imakura
, Tetsuya Sakurai, Ichiro Kataoka:
Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. PKAW 2020: 1-13 - [c28]Akira Imakura
, Xiucai Ye
, Tetsuya Sakurai:
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW 2020: 14-29 - [p1]Christie L. Alappat, Andreas Alvermann, Achim Basermann, Holger Fehske, Yasunori Futamura, Martin Galgon, Georg Hager, Sarah Huber, Akira Imakura, Masatoshi Kawai, Moritz Kreutzer, Bruno Lang, Kengo Nakajima, Melven Röhrig-Zöllner, Tetsuya Sakurai, Faisal Shahzad, Jonas Thies
, Gerhard Wellein:
ESSEX: Equipping Sparse Solvers For Exascale. Software for Exascale Computing 2020: 143-187 - [i8]Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai:
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. CoRR abs/2010.10162 (2020) - [i7]Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai:
Interpretable collaborative data analysis on distributed data. CoRR abs/2011.04437 (2020) - [i6]Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. CoRR abs/2011.06803 (2020)
2010 – 2019
- 2019
- [j45]Lei Du, Akira Imakura, Tetsuya Sakurai:
Simultaneous band reduction of two symmetric matrices. Comput. Math. Appl. 77(8): 2207-2220 (2019) - [j44]Hongjia Chen
, Jie Meng, Tetsuya Sakurai, Xiang Wang
:
Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem. Numer. Linear Algebra Appl. 26(4) (2019) - [c27]Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai:
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI 2019: 3910-3918 - [c26]Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai:
Using diversity as a priority function for resource allocation on MOEA/D. GECCO (Companion) 2019: 215-216 - [c25]Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI 2019: 4142-4149 - [i5]Akira Imakura, Tetsuya Sakurai:
Data collaboration analysis for distributed datasets. CoRR abs/1902.07535 (2019) - [i4]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. CoRR abs/1910.07174 (2019) - 2018
- [j43]Xiucai Ye, Tetsuya Sakurai:
Spectral clustering with adaptive similarity measure in Kernel space. Intell. Data Anal. 22(4): 751-765 (2018) - [j42]Haruka Yamada, Akira Imakura, Tetsuya Sakurai:
Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. JSIAM Lett. 10: 61-64 (2018) - [j41]Takahiro Yano, Yasunori Futamura, Akira Imakura, 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 Lett. 10: 77-80 (2018) - [j40]Xiucai Ye, Tetsuya Sakurai:
Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. J. Univers. Comput. Sci. 24(6): 725-741 (2018) - [j39]Akira Imakura
, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura:
Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. Neural Process. Lett. 47(3): 815-827 (2018) - [j38]Akira Imakura
, Tetsuya Sakurai:
Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. Parallel Comput. 74: 34-48 (2018) - [c24]Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai:
Spectral Feature Scaling Method for Supervised Dimensionality Reduction. IJCAI 2018: 2560-2566 - [c23]Haruka Yamada, Akira Imakura
, Toshiyuki Imamura, Tetsuya Sakurai:
Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. IPDPS Workshops 2018: 957-966 - [c22]Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira:
Experimental Analysis of the Tournament Size on Genetic Algorithms. SMC 2018: 3647-3653 - [c21]Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Zhi Liu:
Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1731-1737 - [i3]Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai:
Spectral feature scaling method for supervised dimensionality reduction. CoRR abs/1805.07006 (2018) - [i2]Yusei Miura, Tetsuya Sakurai, Claus Aranha, Toshiya Senda, Ryuichi Kato, Yusuke Yamada:
Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module. CoRR abs/1812.10087 (2018) - 2017
- [j37]Hongjia Chen
, Yasuyuki Maeda, Akira Imakura, Tetsuya Sakurai, Françoise Tisseur
:
Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems. JSIAM Lett. 9: 17-20 (2017) - [j36]Akira Imakura
, Tetsuya Sakurai:
Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. Numer. Algorithms 75(2): 413-433 (2017) - [c20]Xiucai Ye, Tetsuya Sakurai:
Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. ICMHI 2017: 101-106 - [c19]Xiucai Ye, Tetsuya Sakurai:
Similarity Measure Based on Adaptive Neighbors for Spectral Clustering. ICMLC 2017: 405-409 - [c18]Akira Imakura
, Yasunori Futamura, Tetsuya Sakurai:
Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) 2017: 600-611 - [c17]Shigeru Iwase, Yasunori Futamura, Akira Imakura
, Tetsuya Sakurai, Tomoya Ono:
Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. SC 2017: 40:1-40:12 - 2016
- [j35]Tetsuya Hasegawa, Akira Imakura, Tetsuya Sakurai:
Recovering from accuracy deterioration in the contour integral-based eigensolver. JSIAM Lett. 8: 1-4 (2016) - [j34]Akira Imakura
, Lei Du, Tetsuya Sakurai:
Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems. Numer. Algorithms 71(1): 103-120 (2016) - [c16]Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai:
Spectral clustering and discriminant analysis for unsupervised feature selection. ESANN 2016 - [c15]Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai:
Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. FLAIRS Conference 2016: 454-459 - [c14]Tetsuya Sakurai, Akira Imakura
, Yuto Inoue, Yasunori Futamura
:
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. ICONIP (4) 2016: 354-362 - [i1]Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura:
Alternating optimization method based on nonnegative matrix factorizations for deep neural networks. CoRR abs/1605.04639 (2016) - 2015
- [j33]Lijiong Su, Akira Imakura, Hiroto Tadano, Tetsuya Sakurai:
Improving the convergence behaviour of BiCGSTAB by applying D-norm minimization. JSIAM Lett. 7: 37-40 (2015) - [j32]Yasuyuki Maeda, Yasunori Futamura
, Akira Imakura, Tetsuya Sakurai:
Filter analysis for the stochastic estimation of eigenvalue counts. JSIAM Lett. 7: 53-56 (2015) - [c13]Xiucai Ye, Tetsuya Sakurai:
Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. IJCNN 2015: 1-8 - 2014
- [j31]Akira Imakura
, Lei Du
, Tetsuya Sakurai:
A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems. Appl. Math. Lett. 32: 22-27 (2014) - [j30]Atsushi Kurotani, Alexander A. Tokmakov, Yutaka Kuroda, Yasuo Fukami, Kazuo Shinozaki
, Tetsuya Sakurai
:
Correlations between predicted protein disorder and post-translational modifications in plants. Bioinform. 30(8): 1095-1103 (2014) - [j29]Lei Du, Yasunori Futamura
, Tetsuya Sakurai:
Block conjugate gradient type methods for the approximation of bilinear form CHA-1B. Comput. Math. Appl. 66(12): 2446-2455 (2014) - [j28]Ayaka Hieno
, Hushna Ara Naznin, Mitsuro Hyakumachi, Tetsuya Sakurai
, Mututomo Tokizawa
, Hiroyuki Koyama
, Naoki Sato
, Tomoaki Nishiyama
, Mitsuyasu Hasebe
, Andreas D. Zimmer
, Daniel Lang
, Ralf Reski, Stefan A. Rensing, Junichi Obokata, Yoshiharu Y. Yamamoto
:
ppdb: plant promoter database version 3.0. Nucleic Acids Res. 42(Database-Issue): 1188-1192 (2014) - 2013
- [j27]Shinnosuke Yokota, Tetsuya Sakurai:
A projection method for nonlinear eigenvalue problems using contour integrals. JSIAM Lett. 5: 41-44 (2013) - [j26]Ichitaro Yamazaki, Hiroto Tadano, Tetsuya Sakurai, Tsutomu Ikegami:
Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method. Parallel Comput. 39(6-7): 280-290 (2013) - [c12]Takahiro Yano, Yasunori Futamura, Tetsuya Sakurai:
Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems. 3PGCIC 2013: 121-127 - 2012
- [j25]Yoshifumi Nakamura, Ken-Ichi Ishikawa, Yoshinobu Kuramashi, Tetsuya Sakurai, Hiroto Tadano:
Modified block BiCGSTAB for lattice QCD. Comput. Phys. Commun. 183(1): 34-37 (2012) - [j24]Michihiro Naito, Hiroto Tadano, Tetsuya Sakurai:
A modified Block IDR($s$) method for computing high accuracy solutions. JSIAM Lett. 4: 25-28 (2012) - [j23]Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru:
A parameter optimization technique for a weighted Jacobi-type preconditioner. JSIAM Lett. 4: 41-44 (2012) - [c11]Akira Imakura
, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru:
An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods. MCSoC 2012: 183-190 - [c10]Yasunori Futamura
, Tetsuya Sakurai, Shinnosuke Furuya, Jun-ichi Iwata:
Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations. VECPAR 2012: 226-235 - 2011
- [j22]Ikuro Yamazaki, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi:
A convergence improvement of the BSAIC preconditioner by deflation. JSIAM Lett. 3: 5-8 (2011) - [j21]Yasuyuki Maeda, Yasunori Futamura, Tetsuya Sakurai:
Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane. JSIAM Lett. 3: 61-64 (2011) - 2010
- [j20]Keiichi Mochida
, Takuhiro Yoshida, Tetsuya Sakurai
, Kazuko Yamaguchi-Shinozaki
, Kazuo Shinozaki
, Lam-Son Phan Tran
:
LegumeTFDB: an integrative database of Glycine max, Lotus japonicus and Medicago truncatula transcription factors. Bioinform. 26(2): 290-291 (2010) - [j19]Kousuke Hanada, Kenji Akiyama, Tetsuya Sakurai
, Tetsuro Toyoda, Kazuo Shinozaki
, Shin-Han Shiu
:
sORF finder: a program package to identify small open reading frames with high coding potential. Bioinform. 26(3): 399-400 (2010) - [j18]Tetsuya Sakurai, Hiroto Tadano, Yoshinobu Kuramashi:
Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD. Comput. Phys. Commun. 181(1): 113-117 (2010) - [j17]Hiroto Tadano, Yoshinobu Kuramashi, Tetsuya Sakurai:
Application of preconditioned block BiCGGR to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD. Comput. Phys. Commun. 181(5): 883-886 (2010) - [j16]Tsutomu Ikegami, Tetsuya Sakurai, Umpei Nagashima:
A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method. J. Comput. Appl. Math. 233(8): 1927-1936 (2010) - [j15]Hiroaki Umeda, Yuichi Inadomi, Toshio Watanabe
, Toru Yagi, Takayoshi Ishimoto
, Tsutomu Ikegami, Hiroto Tadano, Tetsuya Sakurai, Umpei Nagashima:
Parallel Fock matrix construction with distributed shared memory model for the FMO-MO method. J. Comput. Chem. 31(13): 2381-2388 (2010) - [j14]Ikuro Yamazaki, Masayuki Okada, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi:
A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations. JSIAM Lett. 2: 41-44 (2010) - [j13]Hiroshi Ohno, Yoshinobu Kuramashi, Tetsuya Sakurai, Hiroto Tadano:
A quadrature-based eigensolver with a Krylov subspace method for shifted linear systems for Hermitian eigenproblems in lattice QCD. JSIAM Lett. 2: 115-118 (2010) - [j12]Yasunori Futamura
, Hiroto Tadano, Tetsuya Sakurai:
Parallel stochastic estimation method of eigenvalue distribution. JSIAM Lett. 2: 127-130 (2010)
2000 – 2009
- 2009
- [j11]Hiroto Tadano, Tetsuya Sakurai, Yoshinobu Kuramashi:
Block BiCGGR: a new Block Krylov subspace method for computing high accuracy solutions. JSIAM Lett. 1: 44-47 (2009) - [j10]Junko Asakura, Tetsuya Sakurai, Hiroto Tadano, Tsutomu Ikegami, Kinji Kimura:
A numerical method for nonlinear eigenvalue problems using contour integrals. JSIAM Lett. 1: 52-55 (2009) - [j9]Tetsuya Sakurai, Junko Asakura, Hiroto Tadano, Tsutomu Ikegami:
Error analysis for a matrix pencil of Hankel matrices with perturbed complex moments. JSIAM Lett. 1: 76-79 (2009) - [c9]Tetsuya Sakurai, Junko Asakura, Hiroto Tadano, Tsutomu Ikegami, Kinji Kimura:
A method for finding zeros of polynomial equations using a contour integral based eigensolver. SNC 2009: 143-148 - 2008
- [j8]Tetsuya Sakurai, Yoshihisa Kodaki, Hiroto Tadano, Daisuke Takahashi
, Mitsuhisa Sato, Umpei Nagashima:
A parallel method for large sparse generalized eigenvalue problems using a GridRPC system. Future Gener. Comput. Syst. 24(6): 613-619 (2008) - [j7]Kenji Akiyama, Eisuke Chikayama, Hiroaki Yuasa, Yukihisa Shimada, Takayuki Tohge, Kazuo Shinozaki, Masami Y. Hirai, Tetsuya Sakurai, Jun Kikuchi, Kazuki Saito:
PRIMe: A Web Site That Assembles Tools for Metabolomics and Transcriptomics. Silico Biol. 8(3-4): 339-345 (2008) - [c8]Norio Kobayashi, Yuko Makita, Eli Kaminuma, Shuji Kawaguchi, Yuko Yoshida, Yoshiki Mochizuki, Akihiro Matsushima, Manabu Ishii, Ryo Umetsu, Satomi Asano, Naohiko Heida, Tetsuya Sakurai, Takashi Kuromori, Kazuo Shinozaki, Tetsuro Toyoda:
A Secure Data Repository Integrating Huge Volumes of Digital Contents as a Semantic Web. SWAT4LS 2008 - 2007
- [j6]Takafumi Nakanishi, Sadaya Kishimoto, Tetsuya Sakurai, Takashi Kitagawa:
Construction of a metadata space for a specific field of knowledge from an index of a document. Systems and Computers in Japan 38(5): 30-42 (2007) - [c7]Hiroto Tadano, Tetsuya Sakurai:
On Single Precision Preconditioners for Krylov Subspace Iterative Methods. LSSC 2007: 721-728 - 2006
- [c6]Sadaya Kishimoto, Takafumi Nakanishi, Mamoru Murakata, Toru Otsuka, Tetsuya Sakurai, Takashi Kitagawa:
An Implementation Method of an Integrated Associative Search for Mathematical Expressions. Databases and Applications 2006: 160-167 - [c5]Yoshiaki Aida, Yoshihiro Nakajima, Mitsuhisa Sato, Tetsuya Sakurai, Daisuke Takahashi
, Taisuke Boku:
Performance Improvement by Data Management Layer in a Grid RPC System. GPC 2006: 324-335 - [c4]Tetsuya Sakurai, Yoshihisa Kodaki, Hiroto Tadano, Hiroaki Umeda, Yuichi Inadomi, Toshio Watanabe
, Umpei Nagashima:
A Master-Worker Type Eigensolver for Molecular Orbital Computations. PARA 2006: 617-625 - 2005
- [j5]Tetsuya Sakurai, Masakazu Satou, Kenji Akiyama, Kei Iida
, Motoaki Seki, Takashi Kuromori
, Takuya Ito, Akihiko Konagaya, Tetsuro Toyoda, Kazuo Shinozaki:
RARGE: a large-scale database of RIKEN Arabidopsis resources ranging from transcriptome to phenome. Nucleic Acids Res. 33(Database-Issue): 647-650 (2005) - [c3]Tetsuya Sakurai, Yoshihisa Kodaki, Hiroaki Umeda, Yuichi Inadomi, Toshio Watanabe
, Umpei Nagashima:
A Hybrid Parallel Method for Large Sparse Eigenvalue Problems on a Grid Computing Environment Using Ninf-G/MPI. LSSC 2005: 438-445 - 2004
- [c2]Tetsuya Sakurai, Kentaro Hayakawa, Mitsuhisa Sato, Daisuke Takahashi
:
A Parallel Method for Large Sparse Generalized Eigenvalue Problems by OmniRPC in a Grid Environment. PARA 2004: 1151-1158 - 2003
- [j4]Peter Kravanja, Tetsuya Sakurai, Marc Van Barel
:
Error Analysis of a Derivative-Free Algorithm for Computing Zeros of Holomorphic Functions. Computing 70(4): 335-347 (2003) - 2000
- [j3]Tetsuya Sakurai, Hiroshi Sugiura:
On Factorization of Analytic Functions and Its Verification. Reliab. Comput. 6(4): 459-470 (2000)
1990 – 1999
- 1996
- [c1]Yanjie Zhao, Tetsuya Sakurai, Hiroshi Sugiura, Tatsuo Torii:
A Methodology of Parsing Mathematical Notation for Mathematical Computation. ISSAC 1996: 292-300 - 1992
- [j2]Tetsuya Sakurai, Hiroshi Sugiura, Tatsuo Torii:
Numerical factorization of a polynomial by rational Hermite interpolation. Numer. Algorithms 3(1): 411-418 (1992) - 1991
- [j1]Tetsuya Sakurai, Tatsuo Torii, Hiroshi Sugiura:
An iterative method for algebraic equation by Padé approximation. Computing 46(2): 131-141 (1991)