default search action
Google
Google Scholar
Semantic Scholar
Internet Archive 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
- 2024
[j81]Hiromi Yamashiro
, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai:
Toward the Application of Differential Privacy to Data Collaboration. IEEE Access 12: 63292-63301 (2024)- [j80]Shida He, Xiucai Ye, Lijun Dou, Tetsuya Sakurai:
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery. Comput. Biol. Medicine 168: 107762 (2024) - [j79]Dong Huang, Xiucai Ye, Tetsuya Sakurai:
Multi-party collaborative drug discovery via federated learning. Comput. Biol. Medicine 171: 108181 (2024) - [j78]Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Collaborative causal inference on distributed data. Expert Syst. Appl. 244: 123024 (2024) - [j77]Wen-Yu Xi, Ruheng Wang, Li Wang, Xiucai Ye, Mingyang Liu, Tetsuya Sakurai:
An interpretable deep learning model predicts RNA-small molecule binding sites. Future Gener. Comput. Syst. 159: 557-566 (2024) - [j76]Dai Hai Nguyen, Tetsuya Sakurai:
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems. Mach. Learn. 113(9): 6697-6724 (2024) - [c53]Tianyuan Liu, Xiucai Ye, Tetsuya Sakurai:
Deciphering the Complex Characterization of Coding LncRNA. IJCNN 2024: 1-8 - [c52]Zixu Wang, Yangyang Chen, Xiucai Ye, Tetsuya Sakurai:
CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network. IJCNN 2024: 1-8 - [i25]Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. CoRR abs/2402.02672 (2024) - [i24]Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng:
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR abs/2406.02610 (2024) - [i23]Akira Imakura, Tetsuya Sakurai:
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration. CoRR abs/2409.18356 (2024) - 2023
- [j75]Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j74]Shihu Jiao, Xiucai Ye, Chunyan Ao, Tetsuya Sakurai, Quan Zou, Lei Xu:
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinform. 39(10) (2023) - [j73]Xiucai Ye, Yifan Shang, Tianyi Shi, Weihang Zhang, Tetsuya Sakurai:
Multi-omics clustering for cancer subtyping based on latent subspace learning. Comput. Biol. Medicine 164: 107223 (2023) - [j72]Fumihiko Nakano, Taizo Sadahiro, Tetsuya Sakurai:
Top to random shuffles on colored permutations. Discret. Appl. Math. 339: 336-348 (2023) - [j71]Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai:
Another use of SMOTE for interpretable data collaboration analysis. Expert Syst. Appl. 228: 120385 (2023) - [j70]Momo Matsuda, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. Frontiers Comput. Sci. 17(1): 171310 (2023) - [j69]Anna Bogdanova, Akira Imakura, Tetsuya Sakurai:
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. Hum. Centric Intell. Syst. 3(3): 197-210 (2023) - [j68]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. 27(1): 59-77 (2023) - [j67]Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe:
Non-readily identifiable data collaboration analysis for multiple datasets including personal information. Inf. Fusion 98: 101826 (2023) - [j66]Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai:
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. J. Biomed. Informatics 137: 104264 (2023) - [j65]Akira Imakura, Tetsuya Sakurai:
Complex moment-based eigensolver coupled with two Krylov subspaces. J. Comput. Appl. Math. 432: 115283 (2023) - [j64]Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai:
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15(1): 38 (2023) - [j63]Dai Hai Nguyen, Tetsuya Sakurai:
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains. Mach. Learn. 112(8): 2845-2869 (2023) - [c51]Tianyi Shi, Xiucai Ye, Tetsuya Sakurai:
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. BIBM 2023: 630-635 - [c50]Yifan Shang, Xiucai Ye, Tetsuya Sakurai:
Multi-view Network Embedding with Structure and Semantic Contrastive Learning. ICME 2023: 870-875 - [c49]Changzhou Long, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Quantum Algorithm for Regularized Spectral Clustering. ICMLC 2023: 5-11 - [c48]Yifan Shang, Xiucai Ye, Tetsuya Sakurai:
Common and Unique Features Learning in Multi-view Network Embedding. IJCNN 2023: 1-8 - [i22]Dai Hai Nguyen, Tetsuya Sakurai:
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems. CoRR abs/2307.16358 (2023) - [i21]Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai:
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. CoRR abs/2308.00280 (2023) - [i20]Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka:
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. CoRR abs/2310.16705 (2023) - 2022
- [j62]Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai:
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Briefings Bioinform. 23(3) (2022) - [j61]Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin:
iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Briefings Bioinform. 23(5) (2022) - [j60]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) - [j59]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) - [j58]Takumi Yamashita, Tetsuya Sakurai:
A parallel computing method for the higher order tensor renormalization group. Comput. Phys. Commun. 278: 108423 (2022) - [j57]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Divide-and-conquer based large-scale spectral clustering. Neurocomputing 501: 664-678 (2022) - [j56]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) - [j55]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) - [j54]Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai:
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. Numer. Linear Algebra Appl. 29(6) (2022) - [c47]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 - [c46]Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai:
A study of the privacy perspective on principal component analysis via a realistic attack model. CIS 2022: 376-380 - [c45]Yifan He, Claus Aranha, Tetsuya Sakurai:
Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation. GECCO Companion 2022: 554-557 - [c44]Yitao Yang, Xiucai Ye, Tetsuya Sakurai:
Multi-View Federated Learning with Data Collaboration. ICMLC 2022: 178-183 - [c43]Dong Huang, Xiucai Ye, Tetsuya Sakurai:
Knowledge distillation-based privacy-preserving data analysis. RACS 2022: 15-20 - [c42]Lesong Wei, Xiucai Ye, Tetsuya Sakurai:
ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. RACS 2022: 77-82 - [c41]Yifan He, Claus Aranha, Tetsuya Sakurai:
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. SSCI 2022: 14-21 - [i19]Dai Hai Nguyen, Tetsuya Sakurai:
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent. CoRR abs/2208.00587 (2022) - [i18]Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Collaborative causal inference on distributed data. CoRR abs/2208.07898 (2022) - [i17]Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai:
Another Use of SMOTE for Interpretable Data Collaboration Analysis. CoRR abs/2208.12458 (2022) - [i16]Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe:
Non-readily identifiable data collaboration analysis for multiple datasets including personal information. CoRR abs/2208.14611 (2022) - [i15]Yifan He, Claus Aranha, Tetsuya Sakurai:
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. CoRR abs/2209.03736 (2022) - [i14]Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe:
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. CoRR abs/2212.03373 (2022) - 2021
- [j53]Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou:
Application of learning to rank in bioinformatics tasks. Briefings Bioinform. 22(5) (2021) - [j52]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) - [j51]Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai:
Interpretable collaborative data analysis on distributed data. Expert Syst. Appl. 177: 114891 (2021) - [j50]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
- [j49]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) - [j48]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) - [j47]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
- [j46]Lei Du, Akira Imakura, Tetsuya Sakurai:
Simultaneous band reduction of two symmetric matrices. Comput. Math. Appl. 77(8): 2207-2220 (2019) - [j45]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
- [j44]Xiucai Ye, Tetsuya Sakurai:
Spectral clustering with adaptive similarity measure in Kernel space. Intell. Data Anal. 22(4): 751-765 (2018) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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
- [j38]Xiucai Ye, Tetsuya Sakurai:
Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data. J. Comput. Sci. Eng. 11(4): 121-129 (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 - 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 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. Syst. Comput. Jpn. 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
[j81] [j78] [i25] [i23] [j71] [j69] [j68] [j67] [j66] [j65] [i21] [j57] [j56] [j54] [c46] [i18] [i17] [i16] [i14] [j51] [j50] [c40] [c38] [c34] [i13] [i12] [i11] [i10] [j48] [j47] [c31] [c30] [c29] [c28] [p1] [i8] [i7] [i6] [j46] [c27] [c25] [i5] [i4] [j43] [j42] [j40] [j39] [c23] [j37] [j36] [c18] [c17] [j35] [j34] [c14] [i1] [j33] [j32] [j31] [j23] [c11]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 20:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
