叶 秀彩(ヨウ シュウサイ)
- 論文
- 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 - 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)/pp.4142-4149, 2019-08 - 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(7)/pp.949-959, 2019-06 - Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support
Ruan Zhiqiang; Ye Xiucai
IEEE ACCESS/7/pp.42874-42888, 2019-03 - 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)/pp.3910-3918, 2019-01 - M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species
Qiang Xiaoli; Chen Huangrong; Ye Xiucai; Su Ran; Wei ...
FRONTIERS IN GENETICS/9, 2018-10 - Large Scale Spectral Clustering Using Sparse Representation Based on Hubness
Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Liu Zhi
Proceeding of the IEEE International Conference on Cloud and Big Data Computing, 2018-10 - CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning
Qiang Xiaoli; Zhou Chen; Ye Xiucai; Du Pu-Feng; Su R...
Briefings in bioinformatics/21(1)/pp.11-23, 2018-09 - Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning
Ye Xiucai; Sakurai Tetsuya
Journal of Universal Computer Science/24(6)/pp.725-741, 2018-06 - Spectral Clustering with Adaptive Similarity Measure in Kernel Space
Ye Xiucai; Sakurai Tetsuya
Intelligent Data Analysis/22(4)/pp.751-765, 2018-06 - Feature Selection Via Embedding Learning Based on Tangent Space Alignment for Microarray Data
Ye Xiucai; Sakurai Tetsuya
Journal of Computing Science and Engineering/11(4)/pp.121-129, 2017 - Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis
Ye Xiucai; Sakurai Tetsuya
Proceeding of the International Conference on Medical and Health Informatics (ICMHI)/pp.101-106, 2017-05 - Similarity Measure Based on Adaptive Neighbors for Spectral Clustering
Ye Xiucai; Sakurai Tetsuya
Proceeding of the International Conference on Machine Learning and Computing (ICMLC)/pp.405-409, 2017-02 - Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors
Ye Xiucai; Sakurai Tetsuya
ETRI Journal/38(3)/pp.540-550, 2016 - Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation
Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
Proceeding of the 29th Florida Artificial Intelligence Research Society Conference (FLAIRS-29)/pp.454-459, 2016-05 - Spectral Clustering and Discriminant Analysis for Unsupervised Feature Selection
Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
Proceeding of the European Symposium on Artificial Neural Networks/pp.563-568, 2016-04 - Unsupervised Feature Selection with Correlation and Individuality Analysis
Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
International Journal of Machine Learning and Computing/6(1)/pp.36-41, 2016 - Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors
Ye Xiucai; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2015)/pp.1-8, 2015-07 - LT Codes Based Distributed Coding for Efficient Distributed Storage in Wireless Sensor Networks
Ye Xiucai; Li Jie; Chen Wen-Tsuen; Tang Feilong
Proceeding of IFIP Networking Conference/pp.1-9, 2015-5 - Collecting All Data Continuously in Wireless Sensor Networks with a Mobile Base Station
Li Jie; Ye Xiucai; Liu Huaibei
International Journal of Computational Science and Engineering/11(3)/pp.239-248, 2015 - A Novel Sleep Scheduling Scheme in Green Wireless Sensor Networks
Zhang Jing; Xu Li; Zhou Shuming; Ye Xiucai
The Journal of Supercomputing/71(3)/pp.1061-1097, 2015 - さらに表示...
- Multiclass spectral feature scaling method for dimensionality reduction