Simulations of core-collapse supernovae in spatial axisymmetry with full Boltzmann neutrino transport H Nagakura, W Iwakami, S Furusawa, H Okawa, A Harada, K Sumiyoshi, ... The Astrophysical Journal 854 (2), 136, 2018 | 115 | 2018 |
Three-dimensional Boltzmann-hydro code for core-collapse in massive stars. II. the implementation of moving-mesh for neutron star kicks H Nagakura, W Iwakami, S Furusawa, K Sumiyoshi, S Yamada, ... The Astrophysical Journal Supplement Series 229 (2), 42, 2017 | 57 | 2017 |
A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems A Imakura, L Du, T Sakurai Applied Mathematics Letters 32, 22-27, 2014 | 44 | 2014 |
Data collaboration analysis framework using centralization of individual intermediate representations for distributed data sets A Imakura, T Sakurai ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2020 | 41 | 2020 |
An oversampling framework for imbalanced classification based on Laplacian eigenmaps X Ye, H Li, A Imakura, T Sakurai Neurocomputing 399, 107-116, 2020 | 38 | 2020 |
Error bounds of Rayleigh–Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems A Imakura, L Du, T Sakurai Numerical Algorithms 71 (1), 103-120, 2016 | 34 | 2016 |
Relationships among contour integral-based methods for solving generalized eigenvalue problems A Imakura, L Du, T Sakurai Japan Journal of Industrial and Applied Mathematics 33, 721-750, 2016 | 32 | 2016 |
Distributed Collaborative Feature Selection Based on Intermediate Representation. X Ye, H Li, A Imakura, T Sakurai IJCAI, 4142-4149, 2019 | 30 | 2019 |
Interpretable collaborative data analysis on distributed data A Imakura, H Inaba, Y Okada, T Sakurai Expert Systems with Applications 177, 114891, 2021 | 25 | 2021 |
mdx: A cloud platform for supporting data science and cross-disciplinary research collaborations T Suzumura, A Sugiki, H Takizawa, A Imakura, H Nakamura, K Taura, ... 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022 | 23 | 2022 |
Federated learning system without model sharing through integration of dimensional reduced data representations A Bogdanova, A Nakai, Y Okada, A Imakura, T Sakurai arXiv preprint arXiv:2011.06803, 2020 | 23 | 2020 |
Ensemble learning for spectral clustering H Li, X Ye, A Imakura, T Sakurai 2020 IEEE International Conference on Data Mining (ICDM), 1094-1099, 2020 | 22 | 2020 |
Collaborative data analysis: Non-model sharing-type machine learning for distributed data A Imakura, X Ye, T Sakurai Knowledge Management and Acquisition for Intelligent Systems: 17th Pacific …, 2021 | 21 | 2021 |
Fast algorithm for low-rank tensor completion in delay-embedded space R Yamamoto, H Hontani, A Imakura, T Yokota Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 20 | 2022 |
Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems A Imakura, T Sakurai Numerical Algorithms 75, 413-433, 2017 | 20 | 2017 |
Complex moment-based supervised eigenmap for dimensionality reduction A Imakura, M Matsuda, X Ye, T Sakurai Proceedings of the AAAI conference on artificial intelligence 33 (01), 3910-3918, 2019 | 19 | 2019 |
Locally optimal and heavy ball GMRES methods A Imakura, RC Li, SL Zhang Japan Journal of Industrial and Applied Mathematics 33, 471-499, 2016 | 18 | 2016 |
Divide-and-conquer based large-scale spectral clustering H Li, X Ye, A Imakura, T Sakurai Neurocomputing 501, 664-678, 2022 | 16 | 2022 |
Accuracy and privacy evaluations of collaborative data analysis A Imakura, A Bogdanova, T Yamazoe, K Omote, T Sakurai arXiv preprint arXiv:2101.11144, 2021 | 16 | 2021 |
Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects A Alvermann, A Basermann, HJ Bungartz, C Carbogno, D Ernst, H Fehske, ... Japan Journal of Industrial and Applied Mathematics 36, 699-717, 2019 | 16 | 2019 |