櫻井 鉄也(サクライ テツヤ)

研究者情報全体を表示

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...