叶 秀彩(ヨウ シュウサイ)
- 論文
- Anonymous Dynamic Group Authenticated Key Agreements Using Physical Unclonable Functions for Internet of Medical Things
Lee Tian-Fu; Ye Xiucai; Lin Syuan-Han
IEEE INTERNET OF THINGS JOURNAL/9(16)/pp.15336-15348, 2022-02 - 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 - 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 - 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 - 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 - 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 - 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 - Bioluminescent Proteins Prediction with Voting Strategy
Zhao Shulin; Ju Ying; Ye Xiucai; Zhang Jun; Han Shuguang
Current Bioinformatics/16(2)/pp.240-251, 2021-4 - iDNA-MT: Identification DNA modification sites in multiple species by using multi-task learning based a neural network tool
Yang Xiao; Ye Xiucai; Xuehong Li; Wei Lesong
Frontiers in Genetics/12, 2021-03 - Application of learning to rank in bioinformatics tasks
Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan
Briefings in Bioinformatics/22(5), 2021-01 - 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 - 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 - Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
Imakura Akira; Ye Xiucai; Sakurai Tetsuya
Proceeding of the 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020)/12280/pp.14-19, 2021-2 - A Bioinformatics Tool for the Prediction of DNA N6-Methyladenine Modifications Based on Feature Fusion and Optimization Protocol
Cai Jianhua; Wang Donghua; Chen Riqing; Niu Yuzhen; Ye X...
Frontiers in Bioengineering and Biotechnology/8, 2020-06 - 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 - 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 - A Spatial Correlation Based Partial Coverage Scheduling Scheme in Wireless Sensor Networks
Zhang Jing; Nian Hongrui; Ye Xiucai; Ji Xiaorong; He Yao
Journal of Network Intelligence/5(2)/pp.34-43, 2020-05 - Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm
Ru Xiaoqing; Wang Lida; Li Lihong; Ding Hui; Ye Xiucai; Z...
Computers in Biology and Medicine/119, 2020-04 - 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 - 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 - Multiclass spectral feature scaling method for dimensionality reduction
Matsuda M.; Morikuni K.; Imakura A.; Ye X.; Sakurai T.
arXiv:1910.07174 [cs.LG]/pp.1-16, 2019-10 - 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 - Review and comparative analysis of machine learning-based phage virion protein identification methods
Meng Chaolu; Zhang Jun; Ye Xiucai; Guo Fei; Zou Quan
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics/1868(6), 2020-06 - A Comprehensive Data Gathering Network Architecture in Large-Scale Visual Sensor Networks
Zhang Jing; Tsai Pei-Wei; Xue Xingsi; Ye Xiucai; Zhang S...
PLoS ONE/15(1), 2020-01 - さらに表示...
- Anonymous Dynamic Group Authenticated Key Agreements Using Physical Unclonable Functions for Internet of Medical Things