叶 秀彩(ヨウ シュウサイ)
- 会議発表等
- 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 - 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)/2019-08-10--2019-08-16 - 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）/2019-06-10--2019-06-12 - 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)/2019-05-17--2019-05-19 - Spectral Clustering with Adaptive Similarity Measure in Kernel Space
Ye Xiucai; Sakurai Tetsuya
International Conference on Soft Computing and Machine Learning (SCML2019)/2019-04-26--2019-04-29 - Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver
Futamura Yasunori; Ye Xiucai; Imakura Akira; Sakurai Tet...
2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience/2019-03-20--2019-03-20 - 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/2019-03-04--2019-03-05 - Unsupervised Feature Selection by Data Structure Learning
Ye Xiucai; Sakurai Tetsuya
11th International Conference on Machine Learning and Computing/2019-2-22--2019-2-24 - Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence/2019-01-28--2019-02-01 - Large Scale Spectral Clustering Using Sparse Representation Based on Hubness
Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Liu Zhi
IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)/2018-10-08--2018-10-12 - 複素モーメント型教師あり次元削減法
今倉 暁; 松田萌望; 叶 秀彩; 櫻井鉄也
日本応用数理学会 2018年度 年会/2018-09-03--2018-09-05 - Ensemble Learning for Risk Factors Identification and Secondary Cancer Diagnosis by Considering Class Imbalance
Ye Xiucai; Sakurai Tetsuya; Chang Chi-Chang
International Conference on Medical and Health Informatics/2018-06-08--2018-06-10 - Spectral clustering and discriminant analysis for unsupervised feature selection
Ye Xiucai; Sakurai Tetsuya
International Workshop on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing/2018-03-05--2018-03-06 - Spectral Clustering for Big Data Analysis
Ye Xiucai; Sakurai Tetsuya
第34回ASE (Advanced Supercomputing Environment) 研究会/2017-12-13--2017-12-13 - さらに表示...
- Peptide Toxicity Prediction Based on Transfer Learning