叶 秀彩(ヨウ シュウサイ)
- 会議発表等
- Common and Unique Features Learning in Multi-view Network Embedding
Yifan Shang; Xiucai Ye; Tetsuya Sakurai
International Joint Conference on Neural Networks (IJCNN2023)/2023-06-18--2023-06-23 - scGNGI: Imputing Missing Gene Expression Value with Cell Heterogeneity Based on Low Rank Matrix Recovery
Huang Meng; Ye Xiucai; Sakurai Tetsuya
The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14 - Discovering Cancers Subtypes Based on Multi-omics Clustering
Tianyi Shi; Xiucai Ye; Tetsuya Sakurai
The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14 - Enhancing Compound Screening Effectiveness in Drug Research by Refining Screening Approaches
Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya
The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14 - Improving Prediction of SARS CoV2 Phosphorylation Sites Using Adaptive Learning Embedding Features
Jiao Shihu; Ye Xiucai; Sakurai Tetsuya
The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14 - DeepDMPred:Multi view Feature Fusion Method to Predict Drug Molecules
He Shida; Ye Xiucai; Sakurai Tetsuya
The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14 - Collaborative Future Selection for Distributed Data
Ye Xiucai; Imakura Akira; Sakurai Tetsuya
SIAM Conference on Computational Science and Engineering (CSE23)/2023-02-26--2023-03-03 - Cost-Efficient Integrated Analysis of Distributed Data in Secure Environments
Sakurai Tetsuya; Imakura Akira; Ye Xiucai; Bogdanova Ann...
SIAM Conference on Computational Science and Engineering (CSE23)/2023-02-26--2023-03-03 - Multiview Network Embedding for Drug-target Interaction Prediction
Ye Xiucai; Shang Yifan; Futamura Yasunori; Sakurai Tetsuya
15th International Conference on Machine Learning and Computing (ICMLC)/2023-02-17--2023-02-20 - ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information
Wei Lesong; Ye Xiucai; Sakurai Tetsuya
The Conference on Research in Adaptive and Convergent Systems/2022-10-03--2022-10-06 - Knowledge distillation-based privacy-preserving data analysis
Huang Dong; Ye Xiucai; Sakurai Tetsuya
The Conference on Research in Adaptive and Convergent Systems/2022-10-03--2022-10-06 - Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering
Zhang Weihang; Ye Xiucai; Sakurai Tetsuya
International Joint Conference on Neural Networks (IJCNN 2022)/2022-7-18--2022-7-23 - Multi-view Network Embedding for Drug-target Interactions Prediction
Shang Yifan; Ye Xiucai; Futamura Yasunori; Yu Liang; Saku...
6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15 - Peptide Toxicity Prediction Based on Transfer Learning
Wei lesong; Ye Xiucai; Sakurai Tetsuya; Mu Zengchao; Wei ...
6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15 - Advantages of Learning to Rank in Compound-protein Associations Prediction
Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan
6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15 - Sequential Active Gene Selection in Renal Cell Carcinoma
Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15 - Multi-View Federated Learning with Data Collaboration
Yang Yitao; Ye Xiucai; Sakurai Tetsuya
14th International Conference on Machine Learning and Computing (ICMLC)/2022-2-18--2022-2-21 - Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
Imakura Akira; Ye Xiucai; Sakurai Tetsuya
13th Asian Conference on Machine Learning/2021-11-17--2021-11-19 - Spectral Clustering Joint Deep Embedding Learning by Autoencoder
Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
International Joint Conference on Neural Networks (IJCNN 2021)/2021-07-18--2021-07-22 - Ensemble Learning for Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
IEEE International Conference on Data Mining (ICDM 2020)/2020-11-17--2020-11-20 - Hubness-Based Sampling Method For Nystrom Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
2020 International Joint Conference on Neural Networks (IJCNN 2020)/2020-07-19--2020-07-24 - Distributed Feature Selection by Collaborative Data Analysis
Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21 - Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
Yoda Hiroyuki; Akira Imakura; Momo Matsuda; Ye Xiucai; Sa...
12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21 - A complex moment-based dimensionality reduction for data analysis
Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
2019 Mini-Workshop on Computational Science (MWCS2019)/2019-08-18 - A complex moment-based spectral method for detecting anomalous structures in large graphs
Sakurai Tetsuya; Funamura Yasunori; Ye Xiucai; Imakura A...
International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15 - さらに表示...
- Common and Unique Features Learning in Multi-view Network Embedding