Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDTetsuya Sakurai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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)
Coauthor Index