櫻井 鉄也(サクライ テツヤ)
- 論文
- Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems
Yano Takahiro; Futamura Yasunori; Sakurai Tetsuya
Proceedings of the Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing/pp.121-127, 2013-12 - ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
Wei Lesong; Ye Xiucai; Xue Yuyang; Sakurai Tetsuya; Wei ...
Briefings in Bioinformatics/22(5), 2021-09 - Application of learning to rank in bioinformatics tasks
Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan
Briefings in Bioinformatics/22(5), 2021-01 - フェロー特集
岡本 久; 畔上 秀幸; 菊池 昇; 櫻井 鉄也; 高橋 大輔; 山田 道夫
応用数理/29(3)/pp.2-5, 2019 - Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer
Ye Xiucai; Zhang Weihang; Sakurai Tetsuya
IEEE Access/8/pp.154354-154362, 2020-08 - Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning
Ye Xiucai; Zhang Weihang; Futamura Yasunori; Sakurai Tet...
Cells/9(9), 2020-08 - 複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証
関川悠太; 二村保徳; 今倉暁; 櫻井 鉄也
日本応用数理学会論文誌/29/pp.141-164, 2019-03 - Using diversity as a priority function for resource allocation on MOEA/D
Lavinas Y. C.; Aranha Claus; Sakurai Tetsuya
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion/pp.215-216, 2019-07 - Scalable Eigen-analysis engine for large-scale eigenvalue problems,
Sakurai Tetsuya; Futamura Yasunori; Imakura Akira
Advanced Software Technologies for Post-Peta Scale Computing/pp.37-57, 2019-06 - Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem
Chen H.; Meng J.; Sakurai Tetsuya; Wang X.
Numerical Linear Algebra with Applications/26(4), 2019-06 - Online spectral classification for long-term spike sorting
Sakamoto Kotaro; Morikuni Keiichi; Sakurai Tetsuya; Matsu...
Proceedings of the 2021 5th International Conference on Medical and Health Informatics/pp.89-97, 2021-05 - A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sak...
Proc. IEEE Congress on Evolutionary Computation (CEC), 2020-07 - Hubness-based Sampling Method for Nystrom Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2020), 2020-07 - An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps
Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
Neurocomputing/399/pp.107-116, 2020-07 - Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
Yoda Hiroyuki; Imakura Akira; Matsuda Momo; Ye Xiucai; Te...
International Journal of Machine Learning and Computing (IJMLC), 2020-07 - Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver
Futamura Yasunori; Ye Xiucai; Imakura Akira; Sakurai Tet...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering/6(2), 2020-06 - Data Collaboration Analysis Framework Using Centralisation of Individual Intermediate Representations for Distributed Datasets
Imakura Akira; Sakurai Tetsuya
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering/6(2), 2020-06 - Multiclass spectral feature scaling method for dimensionality reduction
Matsuda M.; Morikuni Keiichi; Imakura A.; Ye X.; Sakurai T.
Intelligent Data Analysis/24(6)/pp.1273-1287, 2020-12 - MOEA/D-RAD Resource Allocation by Diversity
Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo; Sa...
進化計算シンポジウム2018, 2018-12 - International workshop on eigenvalue problems: algorithms; software and applications, in petascale computing (EPASA2018)
Sakurai Tetsuya; Imamura Toshiyuki; Nakajima Kengo
JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS/36(2)/pp.561-562, 2019-07 - 周回積分法を用いた電極の自己エネルギーの計算方法の提案と第一原理伝導計算への応用
岩瀬 滋; 二村 保徳; 今倉 暁; 櫻井 鉄也; 塚本 茂; 小野 倫也
日本物理学会講演概要集/73/pp.2680-2680, 2018 - Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer
Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Shueng Pei-Wei
International Journal of Medical Sciences/16(7)/pp.949-959, 2019-06 - Distributed Collaborative Feature Selection Based on Intermediate Representation
Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19)/pp.4142-4149, 2019-08 - 複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証
関川 悠太; 二村 保徳; 今倉 暁; 櫻井 鉄也
日本応用数理学会論文誌/29(1)/pp.141-164, 2019-03 - Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
Alvermann Andreas; Basermann Achim; Bungartz Hans-Joachi...
Japan Journal of Industrial and Applied Mathematics/36(2)/pp.699-717, 2019-04 - さらに表示...
- Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems