ホーム > 叶秀彩/ Ye, Xiucai

叶秀彩

Ye, Xiucai

システム情報系 , 准教授
Institute of Systems and Information Engineering , Associate Professor

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

81. LSEC: Large-scale spectral ensemble clustering. Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai
CoRR abs/2106.09852: (2021)
82. Multiclass spectral feature scaling method for dimensionality reduction Matsuda, M.; Morikuni, Keiichi; Imakura, A.; Ye, X.Sakurai, T.
Intelligent Data Analysis 24: 1273 (2020) Semantic Scholar
83. Ensemble Learning for Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020) (accepted): 1094 (2020)
84. Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer Ye, Xiucai; Zhang, Weihang; Sakurai, Tetsuya
IEEE Access 8: 154354 (2020) Semantic Scholar
85. 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, Tetsuya
Cells 9: (2020) Semantic Scholar
86. An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya
Neurocomputing 399: 107 (2020) Semantic Scholar
87. Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis Yoda, Hiroyuki; Imakura, Akira; Matsuda, Momo; Ye, XiucaiTetsuya, Sakurai
International Journal of Machine Learning and Computing (IJMLC) (2020)
88. 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) (accepted): (2020)
89. Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 6: (2020) Semantic Scholar
90. Review and comparative analysis of machine learning-based phage virion protein identification methods Meng, Chaolu; Zhang, Jun; Ye, Xiucai; Guo, FeiZou, Quan
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1868: (2020) Semantic Scholar
91. 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 (+3 著者) Wei, Leyi
Frontiers in Bioengineering and Biotechnology 8: (2020) Semantic Scholar
92. A Spatial Correlation Based Partial Coverage Scheduling Scheme in Wireless Sensor Networks Zhang, Jing; Nian, Hongrui; Ye, Xiucai; Ji, XiaorongHe, Yao
Journal of Network Intelligence 5: 34 (2020)
93. Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm Ru, Xiaoqing; Wang, Lida; Li, Lihong; Ding, Hui (+1 著者) Zou, Quan
Computers in Biology and Medicine 119: (2020) Semantic Scholar
94. A Comprehensive Data Gathering Network Architecture in Large-Scale Visual Sensor Networks Zhang, Jing; Tsai, Pei-Wei; Xue, Xingsi; Ye, XiucaiZhang, Shunmiao
PLoS ONE 15: (2020) Semantic Scholar
95. Multiclass spectral feature scaling method for dimensionality reduction Matsuda, M.; Morikuni, K.; Imakura, A.; Ye, X.Sakurai, T.
arXiv:1910.07174 [cs.LG] 1 (2019)
96. Distributed Collaborative Feature Selection Based on Intermediate Representation Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) 4142 (2019) Semantic Scholar
97. Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei
International Journal of Medical Sciences 16: 949 (2019) Semantic Scholar
98. Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support Ruan, Zhiqiang; Ye, Xiucai
IEEE ACCESS 7: 42874 (2019) Semantic Scholar
99. Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 3910 (2019) Semantic Scholar
100. M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species Qiang, Xiaoli; Chen, Huangrong; Ye, Xiucai; Su, RanWei, Leyi
FRONTIERS IN GENETICS 9: (2018) Semantic Scholar

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書籍等出版物情報はまだありません。

1. 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年7月18日
2. 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年5月13日
3. 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年5月13日
4. Multi-view Network Embedding for Drug-target Interactions Prediction Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya
6th International Conference on Medical and Health Informatics 2022年5月13日
5. Peptide Toxicity Prediction Based on Transfer Learning Wei, lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi
6th International Conference on Medical and Health Informatics 2022年5月13日
6. Multi-View Federated Learning with Data Collaboration Yang, Yitao; Ye, Xiucai; Sakurai, Tetsuya
14th International Conference on Machine Learning and Computing (ICMLC) 2022年2月18日
7. Collaborative Novelty Detection for Distributed Data by a Probabilistic Method Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya
13th Asian Conference on Machine Learning 2021年11月17日
8. 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年7月18日
9. Ensemble Learning for Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
IEEE International Conference on Data Mining (ICDM 2020) 2020年11月17日
10. 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年7月19日
11. Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis Yoda, Hiroyuki; Akira, Imakura; Momo, Matsuda; Ye, Xiucai; Sakurai, Tetsuya
12th International Conference on Machine Learning and Computing 2020年6月19日
12. Distributed Feature Selection by Collaborative Data Analysis Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya
12th International Conference on Machine Learning and Computing 2020年6月19日招待有り
13. 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年8月18日招待有り
14. Distributed Collaborative Feature Selection Based on Intermediate Representation Ye, Xiucai; Li, Hongmin; Akira, Imakura; Sakurai, Tetsuya
28th International Joint Conference on Artificial Intelligence (IJCAI-19) 2019年8月10日
15. A complex moment-based spectral method for detecting anomalous structures in large graphs Sakurai, Tetsuya; Funamura, Yasunori; Ye, Xiucai; Imakura, Akira
International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
16. 最小二乗確率的分類器を用いた多峰性のあるデータに対する特異点検出与田裕之; 今倉暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
第48回数値解析シンポジウム（NAS2019） 2019年6月10日
17. Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei
International Conference on Medical and Health Informatics (ICMHI2019) 2019年5月17日
18. Spectral Clustering with Adaptive Similarity Measure in Kernel Space Ye, Xiucai; Sakurai, Tetsuya
International Conference on Soft Computing and Machine Learning (SCML2019) 2019年4月26日招待有り
19. Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience 2019年3月20日
20. 複素モーメント型部分空間を用いた教師あり次元削減法の提案今倉, 暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
日本応用数理学会第15回研究部会連合発表会 2019年3月4日

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1. 特願2019-104396: 特徴量選択支援装置、特徴量選択支援プログラム及び特徴量選択支援方法
今倉, 暁; 叶, 秀彩; 櫻井, 鉄也

叶秀彩

Ye, Xiucai

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