櫻井 鉄也(サクライ テツヤ)
- 会議発表等
- 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 - A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sak...
World Congress on Computational Intelligence/2020-07-19--2020-07-24 - Empirical Study of Non-Model Shared Data Collaboration Analysis Using Pseudo-data
Nakai Akie; Takahashi Yuta; Imakura Akira; Okada Yukihik...
サービス学会 第8回国内大会/2020-03-12--2020-03-13 - 組織内に分散された共有不能データのデータコラボレーション解析による活用実験
稲葉 弘明; 今倉 暁; 栗山大輔; 鎮目 進一; 岡田幸彦; 櫻井 鉄也
サービス学会 第8回国内大会/2020-03-12--2020-03-13 - A complex moment-based dimensionality reduction for data analysis
Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
2019 Mini-Workshop on Computational Science (MWCS2019)/2019-08-18 - A novel dimensionality reduction method using a complex momnet-based subspace
Imakura Akira; Sakurai Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15 - Nonlinear semi-NMF based method for deep neural network computations and its improvements
Imakura Akira; Sakurai Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15 - A complex moment-based spectral method for detecting anomalous structures in large graphs
Sakurai Tetsuya; Funamura Yasunori; Ye Xiucai; Imakura A...
International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15 - 複素モーメント型部分空間を用いた教師あり次元削減法の提案
今倉 暁; 松田萌望; 叶 秀彩; 櫻井鉄也
日本応用数理学会 第15回 研究部会連合発表会/2019-03-04--2019-03-05 - さらに表示...
- Advantages of Learning to Rank in Compound-protein Associations Prediction