Another use of SMOTE for interpretable data collaboration analysis von Imakura, Akira, Kihira, Masateru, Okada, Yukihiko, Sakurai, Tetsuya

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Simulations of Core-collapse Supernovae in Spatial Axisymmetry with Full Boltzmann Neutrino Transport von Nagakura, Hiroki, Iwakami, Wakana, Furusawa, Shun, Okawa, Hirotada, Harada, Akira, Sumiyoshi, Kohsuke, Yamada, Shoichi, Matsufuru, Hideo, Imakura, Akira

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Three-dimensional Boltzmann-Hydro Code for Core-collapse in Massive Stars. II. The Implementation of Moving-mesh for Neutron Star Kicks von Nagakura, Hiroki, Iwakami, Wakana, Furusawa, Shun, Sumiyoshi, Kohsuke, Yamada, Shoichi, Matsufuru, Hideo, Imakura, Akira

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Collaborative causal inference on distributed data von Kawamata, Yuji, Motai, Ryoki, Okada, Yukihiko, Imakura, Akira, Sakurai, Tetsuya

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Complex moment-based eigensolver coupled with two Krylov subspaces von Imakura, Akira, Sakurai, Tetsuya

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Interpretable collaborative data analysis on distributed data von Imakura, Akira, Inaba, Hiroaki, Okada, Yukihiko, Sakurai, Tetsuya

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Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets von Imakura, Akira, Sakurai, Tetsuya

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Non-readily identifiable data collaboration analysis for multiple datasets including personal information von Imakura, Akira, Sakurai, Tetsuya, Okada, Yukihiko, Fujii, Tomoya, Sakamoto, Teppei, Abe, Hiroyuki

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Block SS–CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure von Imakura, Akira, Sakurai, Tetsuya

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Toward the Application of Differential Privacy to Data Collaboration von Yamashiro, Hiromi, Omote, Kazumasa, Imakura, Akira, Sakurai, Tetsuya

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Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh–Ritz procedure for generalized Hermitian eigenvalue problems von Imakura, Akira, Morikuni, Keiichi, Takayasu, Akitoshi

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Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data von Imakura, Akira, Ye, Xiucai, Sakurai, Tetsuya

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DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties von Imakura, Akira, Tsunoda, Ryoya, Kagawa, Rina, Yamagata, Kunihiro, Sakurai, Tetsuya

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Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems von Imakura, Akira, Sakurai, Tetsuya

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Data collaboration analysis in predicting diabetes from a small amount of health checkup data von Uchitachimoto, Go, Sukegawa, Noriyoshi, Kojima, Masayuki, Kagawa, Rina, Oyama, Takashi, Okada, Yukihiko, Imakura, Akira, Sakurai, Tetsuya

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A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems von Imakura, Akira, Du, Lei, Sakurai, Tetsuya

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Complex moment-based methods for differential eigenvalue problems von Imakura, Akira, Morikuni, Keiichi, Takayasu, Akitoshi

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DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning von Bogdanova, Anna, Imakura, Akira, Sakurai, Tetsuya

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Application of data collaboration analysis to distributed data with misaligned features von Mizoguchi, Akihiro, Imakura, Akira, Sakurai, Tetsuya

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Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks von Baek, Suhyeon, Imakura, Akira, Sakurai, Tetsuya, Kataoka, Ichiro

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