櫻井 鉄也(サクライ テツヤ)
- 会議発表等
- 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/2021-12-10--2021-12-10 - 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)/2022-7-18--2022-7-23 - Multi-View Federated Learning with Data Collaboration
Yang Yitao; Ye Xiucai; Sakurai Tetsuya
14th International Conference on Machine Learning and Computing (ICMLC)/2022-2-18--2022-2-21 - Spectral Graph Partitioning Using Geodesic Distance-based Projection
Futamura Yasunori; Wakaki Ryota; Sakurai Tetsuya
2021 IEEE High Performance Extreme Computing Conference (HPEC)/2021-09-20--2021-09-24 - 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)/2022-05-13--2022-05-15 - Complex moment-based method with nonlinear transformation for computing partial singular triplets
Imakura Akira; Sakurai Tetsuya
Numerical Methods for Large Scale Problems/2022-06-06--2022-06-10 - Peptide Toxicity Prediction Based on Transfer Learning
Wei lesong; Ye Xiucai; Sakurai Tetsuya; Mu Zengchao; Wei ...
6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15 - Multi-view Network Embedding for Drug-target Interactions Prediction
Shang Yifan; Ye Xiucai; Futamura Yasunori; Yu Liang; Saku...
6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15 - 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/2022-5-13--2022-5-15 - Sequential Active Gene Selection in Renal Cell Carcinoma
Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15 - Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
Imakura Akira; Ye Xiucai; Sakurai Tetsuya
13th Asian Conference on Machine Learning/2021-11-17--2021-11-19 - 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/2021-11-12--2021-11-14 - Spectral Clustering Joint Deep Embedding Learning by Autoencoder
Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
International Joint Conference on Neural Networks (IJCNN 2021)/2021-07-18--2021-07-22 - 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)/2021-01-20--2021-01-22 - 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/2021-03-01--2021-03-05 - Accuracy and Privacy Evaluations of Collaborative Data Analysis
Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)/2021-02-08--2021-02-09 - Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021)/2021-01-20--2021-01-22 - Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems
Yano Takahiro; Futamura Yasunori; Sakurai Tetsuya
Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2013)/2013-10-28--2013-10-30 - Ensemble Learning for Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
IEEE International Conference on Data Mining (ICDM 2020)/2020-11-17--2020-11-20 - Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
Yoda Hiroyuki; Akira Imakura; Momo Matsuda; Ye Xiucai; Sa...
12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21 - 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)/2020-07-19--2020-07-24 - Distributed Feature Selection by Collaborative Data Analysis
Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21 - Data Collaboration for Robust Anomaly Detection in Cybersecurity
Sakurai Tetsuya
International Symposium on "Digital Science Now"/2019-06-07 - Data Collaboration for Distributed Data Analytic Infrastructure
Sakurai Tetsuya
The 6th Japan-U.S. Digital Innovation Hub Workshop: Alliance for the Future of Digital Science/2019-06-11 - Development of an Eigen-Analysis Engine for Large-Scale Simulation and Big Data Analysis
Sakurai Tetsuya
SIAM Conference on Parallel Processing for Scientific Computing (PP20)/2020-02-11--2020-02-16 - さらに表示...
- 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