櫻井 鉄也(サクライ テツヤ)
- 論文
- 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 - Risk and Advantages of Federated Learning for Health Care Data Collaboration
Bogdanova Anna; Attoh-Okine Nii; Sakurai Tetsuya
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering/6(3), 2020-06 - Accuracy and Privacy Evaluations of Collaborative Data Analysis
Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
Proceedings of AAAI-21 Workshop on Privacy-Preserving Artificial Intelligence, 2021-02 - Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering
Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
Current Bioinformatics/16(4)/pp.505-511, 2021-08 - Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
Bogdanova A.; Nakai A.; Okada Yukihiko; Imakura A.; Sakur...
Proceedings of FL-IJCAI 2020/pp.1-7, 2021-01 - Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search
He Yifan; Aranha Claus; Sakurai Tetsuya
BIOMA 2020: International Conference on Bioinspired Methods and Their Applications/pp.56-68, 2020-11 - Ensemble Learning for Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11 - Efficient Contour Integral-based Eigenvalue Computation using an Iterative Linear Solver with Shift-Invert Preconditioning
Futamura Yasunori; Sakurai Tetsuya
The International Conference on High Performance Computing in Asia-Pacific Region, HPCAsia 2021/pp.90-99, 2021-01 - Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks
Baek Suhyeon; Imakura Akira; Sakurai Tetsuya; Kataoka Ic...
Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.1-13, 2021-01 - Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.14-29, 2021-01 - Interpretable collaborative data analysis on distributed data
Imakura Akira; Inaba Hiroaki; Okada Yukihiko; Sakurai Te...
Expert Systems with Applications/177/p.114891, 2021-09 - Spectral Clustering Joint Deep Embedding Learning by Autoencoder
Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2021)/pp.1-7, 2021-07 - Decentralized learning with virtual patients for medical diagnosis of diabetes.
Yuta Takahashi; Han-ten Chang; Akie Nakai; Rina Kagaw...
SN Computer Science/2(239), 2021-04 - Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
Proceedings of HPC Asia 2021: the International Conference on High Performance Computing in Asia-Pacific Region/pp.83-89, 2021-01 - さらに表示...
- Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma