櫻井 鉄也(サクライ テツヤ)
- 論文
- 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 - 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 - 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 - 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 - Scalable Eigen-analysis engine for large-scale eigenvalue problems,
Sakurai Tetsuya; Futamura Yasunori; Imakura Akira
Advanced Software Technologies for Post-Peta Scale Computing/pp.37-57, 2019-06 - Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem
Chen H.; Meng J.; Sakurai Tetsuya; Wang X.
Numerical Linear Algebra with Applications/26(4), 2019-06 - Online spectral classification for long-term spike sorting
Sakamoto Kotaro; Morikuni Keiichi; Sakurai Tetsuya; Matsu...
Proceedings of the 2021 5th International Conference on Medical and Health Informatics/pp.89-97, 2021-05 - A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sak...
Proc. IEEE Congress on Evolutionary Computation (CEC), 2020-07 - さらに表示...
- Risk and Advantages of Federated Learning for Health Care Data Collaboration