ホーム > 櫻井鉄也/ Sakurai, Tetsuya

櫻井鉄也

Sakurai, Tetsuya

システム情報系 , 教授
Institute of Systems and Information Engineering , Professor

http://www.cs.tsukuba.ac.jp/~sakurai

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

61. Flexible subspace iteration with moments for an effective contour integration-based eigensolver Huber, Sarah; Futamura, Yasunori; Galgon, Martin; Imakura, Akira (+1 著者) Sakurai, Tetsuya
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS 29: (2022) Semantic Scholar
62. Analysis of Drug Repositioning and Prediction Techniques: A Concise Review He, Shida; Liu, Xin; Ye, Xiucai; Sakurai, Tetsuya
Current Topics in Medicinal Chemistry 22: 1897 (2022) Semantic Scholar
63. ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning Wei, Lesong; Ye, Xiucai; Sakurai, Tetsuya; Wu, ZengchaoWei, Leyi
Bioinformatics 38: 1514 (2022) Semantic Scholar
64. Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data Mitsuteru, Abe; Tanaka, Fabio; Junior, Jair Pereira; Bogdanova, Anna (+2 著者) Claus de Castro
AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (2022) Semantic Scholar
65. Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration Bogdanova, Anna; Imakura, Akira; Sakurai, Tetsuya; Fujii, Tomoya (+1 著者) Abe, Hiroyuki
In: Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022) (2022)
66. Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations Tamura, Ryo; Matsuda, Momo; Lin, Jianbo; Futamura, Yasunori (+1 著者) Miyazaki, Tsuyoshi
Physical Review B 105: 075107 (2022) Semantic Scholar
67. Multi-View Federated Learning with Data Collaboration Yang, Yitao; Ye, Xiucai; Sakurai, Tetsuya
Proceeding of 14th International Conference on Machine Learning and Computing (ICMLC) 178 (2022)
68. Better Performance with Transformer: CPPFormer in precise prediction of cell-Penetrating Peptides Xue, Yuyang; Ye, Xiucai; Wei, Lesong; Zhang, Xin (+1 著者) Wei, Leyi
Current Medicinal Chemistry 29: 881 (2022) Semantic Scholar
69. 機械学習を用いた子宮頸がん放射線治療後の予後予測後藤, 雅明; 二村, 保徳; 斎藤, 高; 石田, 俊樹 (+2 著者) 櫻井, 英幸
日本放射線腫瘍学会第34回学術大会報文集 270 (2021)
70. Collaborative Novelty Detection for Distributed Data by a Probabilistic Method Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya
Proceeding of Asian Conference on Machine Learning (ACML) (accepted): 932 (2021)
71. Spectral Graph Partitioning Using Geodesic Distance-based Projection Futamura, Yasunori; Wakaki, Ryota; Sakurai, Tetsuya
2021 IEEE High Performance Extreme Computing Conference (HPEC) (2021) Semantic Scholar
72. ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism Wei, Lesong; Ye, Xiucai; Xue, Yuyang; Sakurai, TetsuyaWei, Leyi
Briefings in Bioinformatics 22: (2021) Semantic Scholar
73. Interpretable collaborative data analysis on distributed data Imakura, Akira; Inaba, Hiroaki; Okada, Yukihiko; Sakurai, Tetsuya
Expert Systems with Applications 177: 114891 (2021) Semantic Scholar
74. Current status and future prospects of drug–target interaction prediction Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan (+1 著者) Lin, Chen
Briefings in Functional Genomics 20: 312 (2021) Semantic Scholar
75. The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method Chen, Hongjia; Zhang, Ke; Sakurai, Tetsuya
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS Epub: (2021) Semantic Scholar
76. Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
Current Bioinformatics 16: 505 (2021) Semantic Scholar
77. Spectral Clustering Joint Deep Embedding Learning by Autoencoder Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2021) (accepted): 1 (2021)
78. Dynamic Adaptation of Decomposition Vector Set Size for MOEA/D Kobayashi, Yuta; Aranha; Claus de Castro; Sakurai, Tetsuya
Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2021) 181 (2021) Semantic Scholar
79. Online spectral classification for long-term spike sorting Sakamoto, Kotaro; Morikuni, Keiichi; Sakurai, Tetsuya; Matsumoto, SumireVogt, Kaspar
Proceedings of the 2021 5th International Conference on Medical and Health Informatics 89 (2021) Semantic Scholar
80. Decentralized learning with virtual patients for medical diagnosis of diabetes. Yuta, Takahashi; Han-ten, Chang; Akie, Nakai; Rina, Kagawa (+5 著者) Tetsuya, Sakurai
SN Computer Science 2: (2021)

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1. 固有値計算と特異値計算櫻井,鉄也 (担当:分担執筆, 範囲:第5章櫻井-杉浦法)
丸善出版 2019年12月
2. 数値線形代数の数理とHPC 櫻井,鉄也 (担当:分担執筆, 範囲:固有値問題の数値解法)
共立出版 2018年8月 (ISBN: 9784320019553)
3. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) Ye, Xiucai; Sakurai, Tetsuya (担当:分担執筆, 範囲:Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors)
IEEE 2015年 (ISBN: 9781479919598)
4. 数値の処理と数値解析櫻井,鉄也
放送大学教育振興会 2014年3月
5. 計算力学理論ハンドブック櫻井, 鉄也 (担当:分担執筆, 範囲:線形方程式の解法と固有値解析)
朝倉書店 2010年1月
6. 現代数理科学事典第2版櫻井, 鉄也 (担当:分担執筆, 範囲:非線形方程式の解法)
丸善 2010年1月
7. SNC'09: PROCEEDINGS OF THE 2009 INTERNATIONAL WORKSHOP ON SYMBOLIC-NUMERIC COMPUTATION Sakurai, Tetsuya; Asakura, Junko; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji (担当:分担執筆, 範囲:A Method for Finding Zeros of Polynomial Equations using a Contour Integral Based Eigensolver)
ASSOC COMPUTING MACHINERY 2009年1月 (ISBN: 9781605586649)
8. 2007 IEEE International Workshop on Databases for Next Generation Researchers Kishimoto, Sadaya; Murakata, Mamoru; Nakanishi, Takafumi; Sakurai, Tetsuya; Kitagawa, Takashi (担当:分担執筆, 範囲:Problem-solving support system for mathematical sciences)
IEEE 2007年1月 (ISBN: 9781424409037)
9. Applied Parallel Computing - STATE OF THE ART IN SCIENTIFIC COMPUTING Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Nagashima, Umpei (担当:分担執筆, 範囲:A master-worker type eigensolver for molecular orbital computations)
SPRINGER-VERLAG BERLIN 2007年1月 (ISBN: 9783540757542)
10. Proceedings of the IASTED International Conference on Databases and Applications Kishimoto, Sadaya; Nakanishi, Takafumi; Murakata, Mamoru; Otsuka, Toru; Sakurai, Tetsuya; Kitagawa, Takashi (担当:分担執筆, 範囲:An implementation method of an integrated associative search for mathematical expressions)
ACTA PRESS ANAHEIM 2006年1月
11. ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS Aida, Y; Nakajima, Y; Sato, M; Sakurai, T; Takahashi, D; Boku, T (担当:分担執筆, 範囲:Performance improvement by data management layer in a grid RPC system)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540338098)
12. APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING Sakurai, T; Hayakawa, K; Sato, M; Takahashi, D (担当:分担執筆, 範囲:A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540290672)
13. LARGE-SCALE SCIENTIFIC COMPUTING Sakurai, T; Kodaki, Y; Umeda, H; Inadomi, Y; Watanabe, T; Nagashima, U (担当:分担執筆, 範囲:A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G/MPI)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540319948)
14. 数値計算のわざ櫻井, 鉄也
共立出版 2006年1月
15. ICNAAM 2004: INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2004 Tadano, H; Sakurai, T (担当:分担執筆, 範囲:A method for avoiding breakdown in product-type iterative methods and its behavior for Toeplitz linear systems)
WILEY-V C H VERLAG GMBH 2004年1月 (ISBN: 3527405631)
16. ICNAAM 2004: INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2004 Sakurai, T; Tadano, H; Inadomi, Y; Nagashima, U (担当:分担執筆, 範囲:A moment-based method for large scale eigenvalue problems)
WILEY-V C H VERLAG GMBH 2004年1月 (ISBN: 3527405631)
17. 数値計算のつぼ櫻井, 鉄也
共立出版 2004年1月
18. MATLAB/Scilabで理解する数値計算櫻井鉄也
東京大学出版会東京大学出版会 2003年1月
19. 大規模一般化固有値問題の並列解法櫻井鉄也 (担当:監修)
応用数理応用数理 2003年1月
20. 数値計算法櫻井, 鉄也
オーム社オーム社 1998年1月

1. Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering Zhang, Weihang; Ye, Xiucai; Sakurai, Tetsuya
International Joint Conference on Neural Networks (IJCNN 2022) 2022年7月18日
2. Complex moment-based method with nonlinear transformation for computing partial singular triplets Imakura, Akira; Sakurai, Tetsuya
Numerical Methods for Large Scale Problems 2022年6月6日
3. Sequential Active Gene Selection in Renal Cell Carcinoma Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
6th International Conference on Medical and Health Informatics 2022年5月13日
4. Advantages of Learning to Rank in Compound-protein Associations Prediction Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan
6th International Conference on Medical and Health Informatics 2022年5月13日
5. Multi-view Network Embedding for Drug-target Interactions Prediction Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya
6th International Conference on Medical and Health Informatics 2022年5月13日
6. Peptide Toxicity Prediction Based on Transfer Learning Wei, lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi
6th International Conference on Medical and Health Informatics 2022年5月13日
7. Application of Data Collaboration Analysis to Distributed Metabolomics Data with Misaligned Features Mizoguchi, Akihiro; Imakura, Akira; Sakurai, Tetsuya
2022 6th International Conference on Medical and Health Informatics (ICMHI 2022) 2022年5月13日
8. Multi-View Federated Learning with Data Collaboration Yang, Yitao; Ye, Xiucai; Sakurai, Tetsuya
14th International Conference on Machine Learning and Computing (ICMLC) 2022年2月18日
9. 測地線距離に基づくスペクトラルグラフ分割による並列Nested Dissection 若木良太; 二村, 保徳; 櫻井鉄也
日本応用数理学会「行列・固有値問題の解法とその応用」研究部会第32回研究会 2021年12月10日
10. Collaborative Novelty Detection for Distributed Data by a Probabilistic Method Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya
13th Asian Conference on Machine Learning 2021年11月17日
11. 機械学習を用いた子宮頸がん放射線治療後の予後予測後藤, 雅明; 二村, 保徳; 斎藤, 高; 石田, 俊樹; 玉木, 義雄; 櫻井, 鉄也; 櫻井, 英幸
日本放射線腫瘍学会第34回学術大会 2021年11月12日
12. Spectral Graph Partitioning Using Geodesic Distance-based Projection Futamura, Yasunori; Wakaki, Ryota; Sakurai, Tetsuya
2021 IEEE High Performance Extreme Computing Conference (HPEC) 2021年9月20日
13. Spectral Clustering Joint Deep Embedding Learning by Autoencoder Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya
International Joint Conference on Neural Networks (IJCNN 2021) 2021年7月18日
14. Parallel Contour Integral-Based Eigenvalue Computation using a Block Krylov Linear Solver with Shift-Invert Preconditioning Futamura, Yasunori; Sakurai, Tetsuya
SIAM Conference on Computational Science and Engineering 2021年3月1日 SIAM
15. Accuracy and Privacy Evaluations of Collaborative Data Analysis Imakura, Akira; Bogdanova, Anna; Yamazoe, Takaya; Omote, Kazumasa; Sakurai, Tetsuya
The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21) 2021年2月8日
16. Efficient Contour Integral-based Eigenvalue Computation using an Iterative Linear Solver with Shift-Invert Preconditioning Futamura, Yasunori; Sakurai, Tetsuya
The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021) 2021年1月20日
17. Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya
The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021) 2021年1月20日
18. Ensemble Learning for Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
IEEE International Conference on Data Mining (ICDM 2020) 2020年11月17日
19. Hubness-Based Sampling Method For Nystrom Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
2020 International Joint Conference on Neural Networks (IJCNN 2020) 2020年7月19日
20. A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design Jair; Pereira Junior; ARANHA, CLAUS DE CASTRO; Tetsuya, Sakurai
World Congress on Computational Intelligence 2020年7月19日

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1. 特願2018-243376: 分散データ統合装置、分散データ統合方法及び分散データ統合プログラム
今倉, 暁; 櫻井, 鉄也
2. 2022-010035: 端末、データ処理装置、端末制御プログラム、データ処理プログラム、端末制御方法及びデータ処理方法
今倉暁; 櫻井鉄也; 岡田, 幸彦; 藤井智也; 坂元哲平
3. 特願2020-563129: 分散データ統合装置、分散データ統合解析装置、分散データ統合方法、及びプログラム
今倉, 暁; sakurai, tetsuya
4. 特願2017-113630: 画像処理システム、評価モデル構築方法、画像処理方法及びプログラム
櫻井, 鉄也; 木村宇任
5. 特願2017-113759: 画像処理システム、評価モデル構築方法、画像処理方法及びプログラム
櫻井, 鉄也; 木村宇任
6. 特願2017-005786: 画像処理システム、画像処理方法及び画像処理プログラム
永田, 毅; 渋木, 尚; 前川, 秀正; 佐野, 碧; 檜作, 彰良; 浅井, 剛; 吉田, 貢; 六角, 広介; 櫻井, 鉄也; 祖平, 明夫