Sakurai Tetsuya

Researcher's full information

Conference, etc.
  • 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
  • 複素モーメント型教師あり次元削減法
    今倉 暁; 松田萌望; 叶 秀彩; 櫻井鉄也
    日本応用数理学会 2018年度 年会/2018-09-03--2018-09-05
  • 最小二乗確率的分類器を用いた多峰性のあるデータに対する特異点検出
    与田裕之; 今倉暁; 松田萌望; 叶 秀彩; 櫻井鉄也
    第48回数値解析シンポジウム(NAS2019)/2019-06-10--2019-06-12
  • Distributed Collaborative Feature Selection Based on Intermediate Representation
    Ye Xiucai; Li Hongmin; Akira Imakura; Sakurai Tetsuya
    28th International Joint Conference on Artificial Intelligence (IJCAI-19)/2019-08-10--2019-08-16
  • Matrix Computation-based Approach for Large-scale Simulation and Data Analysis
    Sakurai Tetsuya
    HPDA Forum 2018 Multidisciplinary High Performance Data Analysis for Societal Challenges/2018-06-18--2018-06-19
  • Matrix Computation-based Approach for Large-scale Simulation and Data Analysis
    Sakurai Tetsuya
    2018 International Conference on Medical and Health Informatics/2018-06-08--2018-06-10
  • MOEA/D-RAD Resource Allocation by Diversity
    Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo; Sa...
    Symposium of the Japanese Society of Evolutionary Computation 2018/2018-12-08--2018-12-09
  • Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
    Alvermann Andreas; Basermann Achim; Bungartz Hans-Joac...
    International Workshop on Eigenvalue Problems - Algorithms; Software and Applications, in Petascale Computing (EPASA)/2018-03-05--2018-03-06
  • A complex moment-based method and its improvement for computing partial singular value decomposition
    Imakura Akira; Sakurai Tetsuya
    The 37th JSST Annual International Conference on Simulation Technology (JSST2018)/2018-09-18--2018-09-20
  • Time-efficient tensor reordering procedures for HOTRG in distributed parallel environment
    Yamada Haruka; Imakura Akira; Imamura Toshiyuki; Sakurai ...
    Tensor Network States: Algorithms and Applications (TNSAA)/2018-12-03--2018-12-06
  • Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
    Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
    33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence/2019-01-28--2019-02-01
  • A contour intergral-based stochastic estimator for eigenvalue counts of generalized eigenproblems
    Futamura Yasunori; Yano Takahiro; Imakura Akira; Sakurai ...
    SIAM Conference on Computational Science and Engineering (CSE19)/2019-02-25--2019-03-01
  • Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer
    Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Shueng Pei-Wei
    International Conference on Medical and Health Informatics (ICMHI2019)/2019-05-17--2019-05-19
  • Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver
    Futamura Yasunori; Ye Xiucai; Imakura Akira; Sakurai Tet...
    2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience/2019-03-20--2019-03-20
  • Spectral Clustering with Adaptive Similarity Measure in Kernel Space
    Ye Xiucai; Sakurai Tetsuya
    International Conference on Soft Computing and Machine Learning (SCML2019)/2019-04-26--2019-04-29
  • Experimental Analysis of the Tournament Size on Genetic Algorithms
    Lavinas Yuri; Aranha Claus de Castro; Sakurai Tetsuya; La...
    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)/2018-10-7--2018-10-10
  • 計算科学における、AI、データ活用との連携のあり方
    櫻井 鉄也
    公開シンポジウム 「AI時代のもの・コトづくりに向けた新たな計算科学活用 における課題と期待」/2019-02-14--2019-02-14
  • デジタルイノベーションとAI技術
    櫻井 鉄也
    つくばサイエンスアカデミー(SAT)テクノロジーショーケース/2019-01-29--2019-01-29
  • more...