SAKURAI Tetsuya

Researcher's full information

Articles

• Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites
  Jiao Shihu; Ye Xiucai; Ao Chunyan; Sakurai Tetsuya; Z...
  Bioinformatics/39(11)/p.btad627, 2023-10
• Collaborative analysis for drug discovery by federated learning on non-IID data
  Huang Dong; Ye Xiucai; Zhang Ying; Sakurai. Tetsuya
  METHODS/219/pp.1-7, 2023-11
• 機械学習を用いた子宮頸がん病理組織像の放射線治療変化判定モデルの開発
  後藤　雅明; 二村　保徳; 牧島　弘和; 坂本　規彰; 飯島　達生; 玉木　義雄; 櫻井　鉄也; 奥村　敏之; 櫻井 英幸
  日本放射線腫瘍学会第36回学術大会/pp.191-191, 2023-11-30
• Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces
  Lin Jianbo; Tamura Ryo; Futamura Yasunori; Sakurai Te...
  PHYSICAL CHEMISTRY CHEMICAL PHYSICS/25(27)/pp.17978-17986, 2023-07-12
• Non-readily identifiable data collaboration analysis for multiple datasets including personal information
  Imakura Akira; Sakurai Tetsuya; Okada Yukihiko; Fujii ...
  INFORMATION FUSION/98, 2023-10
• Another use of SMOTE for interpretable data collaboration analysis
  Imakura Akira; Kihira Masateru; Okada Yukihiko; Sakura...
  EXPERT SYSTEMS WITH APPLICATIONS/228, 2023-10
• Multi-omics clustering for cancer subtyping based on latent subspace learning
  Ye Xiucai; Shang Yifan; Shi Tianyi; Zhang Weihang; Sa...
  COMPUTERS IN BIOLOGY AND MEDICINE/164, 2023-09
• DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning
  Bogdanova Anna; Imakura Akira; Sakurai Tetsuya
  Human-Centric Intelligent Systems/(3)/pp.197-230, 2023-07-06
• DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties
  Imakura Akira; Tsunoda Ryoya; Kagawa Rina; Yamagata K...
  JOURNAL OF BIOMEDICAL INFORMATICS/137, 2023-01
• FL と DC 解析における通信コストと精度の比較: 筑波大学附属病院とつくば市役所の統合データ解析を想定して
  豊田明広; 内立元豪; 小島真之; 香川璃奈; 大山孝; 今倉暁; 櫻井鉄也; 岡田幸彦
  第37回人工知能学会全国大会, 2023-06-06
• Data collaboration analysis in predicting diabetes from a small amount of health checkup data
  Go Uchitachimoto; Noriyoshi Sukegawa; Masayuki Kojima; ...
  SCIENTIFIC REPORTS/13(1), 2023-07
• Image Data Recoverability against Data Collaboration and its Countermeasure
  Yamazoe Takaya; Yamashiro Hiromi; Imakura Akira; Omote K...
  In: Su, C., Sakurai, K. (eds) Science of Cyber Security - SciSec 2022 Workshops. SciSec 2022. Communications in Computer and Information Science, 2023-01
• Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
  Bogdanova Anna; Imakura Akira; Sakurai Tetsuya; Fujii To...
  In: Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022), 2022-03
• Application of data collaboration analysis to distributed data with misaligned features
  Mizoguchi Akihiro; Imakura Akira; sakurai tetsuya
  Informatics in Medicine Unlocked/32/p.101013, 2022-07
• Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives
  He Yifan; Aranha Claus de Castro; Sakurai Tetsuya
  2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022-12
• m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation
  Ao Chunyan; Ye Xiucai; Sakurai Tetsuya; Zou Quan; Yu ...
  BMC biology/21(1), 2023-04
• MRMD3. 0: A Python tool and webserver for dimensionality reduction and data visualization via an ensemble strategy
  He Shida; Ye Xiucai; Sakurai Tetsuya; Zou Quan
  JOURNAL OF MOLECULAR BIOLOGY/435(14), 2023-04
• Molecular language models: RNNs or transformer?
  Chen Yangyang; Wang Zixu; Zeng Xiangxiang; Li Yayang; ...
  BRIEFINGS IN FUNCTIONAL GENOMICS/22(4)/pp.392-400, 2023-04
• Common and Unique Features Learning in Multi-view Network Embedding
  Shang Yifan; Ye Xiucai; Sakurai Tetsuya
  Proceedings of the International Joint Conference on Neural Networks 2023/pp.1-8, 2023-06
• Mirror Variational Transport: A Particle-based Algorithm for Distributional Optimization on Constrained Domains
  Nguyen Dai Hai; Sakurai Tetsuya
  MACHINE LEARNING/112(8)/pp.2845-2869, 2023-06
• Complex moment-based eigensolver coupled with two Krylov subspaces
  Imakura Akira; Sakurai Tetsuya
  JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS/432/p.115283, 2023-04
• Multi-view Network Embedding with Structure and Semantic Contrastive Learning
  Shang Yifan; Ye Xiucai; Sakurai Tetsuya
  Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2023)/pp.870-875, 2023-07
• ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information
  Wei lesong; Ye Xiucai; Sakurai. Tetsuya
  Proceedings of the Conference on Research in Adaptive and Convergent Systems/pp.77-82, 2022-10
• Knowledge distillation-based privacy-preserving data analysis.
  Huang Dong; Ye Xiucai; Sakurai Tetsuya
  Proceedings of the Conference on Research in Adaptive and Convergent Systems/pp.15-20, 2022-10
• Interactive gene identification for cancer subtyping based on multi-omics clustering
  Ye Xiucai; Shi Tianyi; Cui Yaxuan; Sakurai Tetsuya
  METHODS/211/pp.61-67, 2023-03
• more...