櫻井 鉄也(サクライ テツヤ)
- 論文
- DC-COX: data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties
Imakura Akira; Tsunoda Ryoya; Kagawa Rina; Yamagata Kuni...
Journal of Biomedical Informatics, 2022-12 - Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b/HIF1α signaling pathway
Chang Yun-Hsuan; Vuong Cat-Khanh; Ngo Nhat-Hoang; Yamashi...
Scientific reports/12(1), 2022-08 - Missing value imputation with low-rank matrix completion in single-cell RNA-seq data by considering cell heterogeneity
Huang Meng; Ye Xiucai; Li Hongmin; Sakurai Tetsuya
FRONTIERS IN GENETICS/13, 2022-07 - Multi-View Federated Learning with Data Collaboration
Yang Yitao; Ye Xiucai; Sakurai Tetsuya
Proceeding of 14th International Conference on Machine Learning and Computing (ICMLC)/pp.178-183, 2022-02 - Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation
He Yifan; Aranha Claus de Castro; Sakurai Tetsuya
Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2022), 2022-07 - Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data
Mitsuteru Abe; Tanaka Fabio; Junior Jair Pereira; Bogdano...
AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022-03 - Dynamic Adaptation of Decomposition Vector Set Size for MOEA/D
Kobayashi Yuta; Aranha Claus de Castro; Sakurai Tetsuya
Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2021)/pp.181-182, 2021-07 - Spectral Graph Partitioning Using Geodesic Distance-based Projection
Futamura Yasunori; Wakaki Ryota; Sakurai Tetsuya
2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021-09-20 - Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations
Tamura Ryo; Matsuda Momo; Lin Jianbo; Futamura Yasunori; ...
Physical Review B/105(7)/p.075107, 2022-02 - Flexible subspace iteration with moments for an effective contour integration-based eigensolver
Huber Sarah; Futamura Yasunori; Galgon Martin; Imakura A...
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS/29(6), 2022-04 - Divide-and-conquer based Large-Scale Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
NEUROCOMPUTING/501/pp.664-678, 2022-08 - Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering
Zhang Weihang; Ye Xiucai; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2022)/pp.1-7, 2022-07 - Analysis of Drug Repositioning and Prediction Techniques: A Concise Review
He Shida; Liu Xin; Ye Xiucai; Sakurai Tetsuya
CURRENT TOPICS IN MEDICINAL CHEMISTRY/22(23)/pp.1897-1906, 2022-04 - Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma
Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Journal of Biomedical Informatics/128, 2022-04 - Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving
Shang Yifang; Ye Xiucai; Futamura Yasunori; Yu Liang; Sak...
Briefings in Bioinformatics/23(3), 2022-05 - NerLTR-DTA: drug–target binding affinity prediction based on neighbor relationship and learning to rank
Xiaoqing Ru; Ye Xiucai; Tetsuya Sakurai; Quan Zou
Bioinformatics/38(7)/pp.1964-1971, 2022-04 - ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning
Wei Lesong; Ye Xiucai; Sakurai Tetsuya; Wu Zengchao; Wei ...
Bioinformatics/38(6)/pp.1514-1524, 2022-03 - The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method
Chen Hongjia; Zhang Ke; Sakurai Tetsuya
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS/Epub, 2021-09 - LSEC: Large-scale spectral ensemble clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
INTELLIGENT DATA ANALYSIS/27(1)/pp.59-77, 2023-01 - Distortion-free PCA on Sample Space for Highly Variable Gene Detection from Single-cell RNA-seq Data
Matsuda Momo; Futamura Yasunori; Ye Xiucai; Sakurai Tetsuya
Frontiers of Computer Science/17(1), 2023-01 - Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
Imakura Akira; Ye Xiucai; Sakurai Tetsuya
Proceeding of Asian Conference on Machine Learning (ACML)/pp.932-947, 2021-11 - 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回学術大会報文集/pp.270-270, 2021-11 - Current status and future prospects of drug–target interaction prediction
Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan; Xu Le...
Briefings in Functional Genomics/20(5)/pp.312-322, 2021-09 - Better Performance with Transformer: CPPFormer in precise prediction of cell-Penetrating Peptides
Xue Yuyang; Ye Xiucai; Wei Lesong; Zhang Xin; Sakurai Te...
Current Medicinal Chemistry/29(5)/pp.881-893, 2022-01 - Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
Bogdanova Anna; Nakai Akie; Okada Yukihiko; Imakura Akir...
Proceedings of IJCAI 2020 International Workshop on Federated Learning for User Privacy and Data Confidentiality, 2021-01 - さらに表示...
- DC-COX: data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties