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
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81.
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
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82.
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)
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83.
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
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84.
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
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85.
Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support
Ruan, Zhiqiang; Ye, Xiucai
IEEE ACCESS 7: 42874 (2019) Semantic Scholar
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86.
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
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87.
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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88.
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 1731 (2018) Semantic Scholar
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89.
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 (+1 著者) Wei, Leyi
Briefings in bioinformatics 21: 11 (2018) Semantic Scholar
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90.
Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning
Ye, Xiucai; Sakurai, Tetsuya
Journal of Universal Computer Science 24: 725 (2018)
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91.
Spectral Clustering with Adaptive Similarity Measure in Kernel Space
Ye, Xiucai; Sakurai, Tetsuya
Intelligent Data Analysis 22: 751 (2018) Semantic Scholar
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92.
Unsupervised feature learning for gene selection in microarray data analysis
Xiucai Ye; Tetsuya Sakurai
ACM International Conference Proceeding Series 129311: 101 (2017) Semantic Scholar
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93.
Similarity Measure Based on Adaptive Neighbors for Spectral Clustering
Ye, Xiucai; Sakurai, Tetsuya
Proceeding of the International Conference on Machine Learning and Computing (ICMLC) 405 (2017)
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94.
Feature Selection Via Embedding Learning Based on Tangent Space Alignment for Microarray Data
Ye, Xiucai; Sakurai, Tetsuya
Journal of Computing Science and Engineering 11: 121 (2017)
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95.
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) 454 (2016)
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96.
Spectral Clustering and Discriminant Analysis for Unsupervised Feature Selection
Ye, Xiucai; Ji, Kaiyang; Sakurai, Tetsuya
Proceeding of the European Symposium on Artificial Neural Networks 563 (2016)
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97.
Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors
Ye, Xiucai; Sakurai, Tetsuya
ETRI Journal 38: 540 (2016)
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98.
Unsupervised Feature Selection with Correlation and Individuality Analysis
Ye, Xiucai; Ji, Kaiyang; Sakurai, Tetsuya
International Journal of Machine Learning and Computing 6: 36 (2016)
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99.
AN EFFICIENT CONNECTED DOMINATING SET ALGORITHM IN WSNS BASED ON THE INDUCED TREE OF THE CROSSED CUBE
Jing Zhang; Li Xu; Shu-Ming Zhou; Wei WuaXiucai Ye
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE 25: 295 (2015) Semantic Scholar
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100.
A novel sleep scheduling scheme in green wireless sensor networks
Jing Zhang; Li Xu; Shuming Zhou; Xiucai Ye
JOURNAL OF SUPERCOMPUTING 71: 1067 (2015) Semantic Scholar
書籍等出版物情報はまだありません。
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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