櫻井 鉄也(サクライ テツヤ)

研究者情報全体を表示

論文

• 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回学術大会報文集/pp.270-270, 2021-11
• Current status and future prospects of drug–target interaction prediction
  Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan; Xu Le...
  Briefings in Functional Genomics/20(5)/pp.312-322, 2021-09
• Better Performance with Transformer: CPPFormer in precise prediction of cell-Penetrating Peptides
  Xue Yuyang; Ye Xiucai; Wei Lesong; Zhang Xin; Sakurai Te...
  Current Medicinal Chemistry/29(5)/pp.881-893, 2022-01
• Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
  Bogdanova Anna; Nakai Akie; Okada Yukihiko; Imakura Akir...
  Proceedings of IJCAI 2020 International Workshop on Federated Learning for User Privacy and Data Confidentiality, 2021-01
• Risk and Advantages of Federated Learning for Health Care Data Collaboration
  Bogdanova Anna; Attoh-Okine Nii; Sakurai Tetsuya
  ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering/6(3), 2020-06
• Accuracy and Privacy Evaluations of Collaborative Data Analysis
  Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
  Proceedings of AAAI-21 Workshop on Privacy-Preserving Artificial Intelligence, 2021-02
• Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering
  Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
  Current Bioinformatics/16(4)/pp.505-511, 2021-08
• Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
  Bogdanova A.; Nakai A.; Okada Yukihiko; Imakura A.; Sakur...
  Proceedings of FL-IJCAI 2020/pp.1-7, 2021-01
• Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search
  He Yifan; Aranha Claus; Sakurai Tetsuya
  BIOMA 2020: International Conference on Bioinspired Methods and Their Applications/pp.56-68, 2020-11
• Ensemble Learning for Spectral Clustering
  Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
  Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11
• 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, HPCAsia 2021/pp.90-99, 2021-01
• Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks
  Baek Suhyeon; Imakura Akira; Sakurai Tetsuya; Kataoka Ic...
  Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.1-13, 2021-01
• Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
  Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
  Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.14-29, 2021-01
• Interpretable collaborative data analysis on distributed data
  Imakura Akira; Inaba Hiroaki; Okada Yukihiko; Sakurai Te...
  Expert Systems with Applications/177/p.114891, 2021-09
• 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)/pp.1-7, 2021-07
• Decentralized learning with virtual patients for medical diagnosis of diabetes.
  Yuta Takahashi; Han-ten Chang; Akie Nakai; Rina Kagawa; H...
  SN Computer Science/2(239), 2021-04
• Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
  Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
  Proceedings of HPC Asia 2021: the International Conference on High Performance Computing in Asia-Pacific Region/pp.83-89, 2021-01
• Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems
  Yano Takahiro; Futamura Yasunori; Sakurai Tetsuya
  Proceedings of the Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing/pp.121-127, 2013-12
• 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 Tetsuya; Wei ...
  Briefings in Bioinformatics/22(5), 2021-09
• Application of learning to rank in bioinformatics tasks
  Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan
  Briefings in Bioinformatics/22(5), 2021-01
  
  PubMed
• フェロー特集
  岡本 久; 畔上 秀幸; 菊池 昇; 櫻井 鉄也; 高橋 大輔; 山田 道夫
  応用数理/29(3)/pp.2-5, 2019
  
  CiNii
• Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer
  Ye Xiucai; Zhang Weihang; Sakurai Tetsuya
  IEEE Access/8/pp.154354-154362, 2020-08
• Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning
  Ye Xiucai; Zhang Weihang; Futamura Yasunori; Sakurai Tet...
  Cells/9(9), 2020-08
  
  PubMed
• 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
  関川悠太; 二村保徳; 今倉暁; 櫻井 鉄也
  日本応用数理学会論文誌/29/pp.141-164, 2019-03
• Using diversity as a priority function for resource allocation on MOEA/D
  Lavinas Y. C.; Aranha Claus; Sakurai Tetsuya
  GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion/pp.215-216, 2019-07
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