재정 지원 요구사항을 통해 공개된 자료 - Xia Hong자세히 알아보기
제공된 곳이 없음: 4
Construction of neurofuzzy models for imbalanced data classification
M Gao, X Hong, CJ Harris
IEEE Transactions on Fuzzy Systems 22 (6), 1472-1488, 2013
재정 지원 요구사항 정책: UK Engineering and Physical Sciences Research Council
A unified neurofuzzy model for classification
M Gao, X Hong, CJ Harris
International Journal of Systems Science 45 (10), 2158-2171, 2014
재정 지원 요구사항 정책: UK Engineering and Physical Sciences Research Council
Hybrid dual-resampling and cost-sensitive classification for credit risk prediction
E Osei-Brefo, R Mitchell, X Hong
International Conference on Innovative Techniques and Applications of …, 2023
재정 지원 요구사항 정책: European Commission
Functional locality preserving projection for dimensionality reduction
X Song, X Jiang, J Gao, Z Cai, X Hong
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
재정 지원 요구사항 정책: National Natural Science Foundation of China
제공된 곳이 있음: 28
Heterogeneous tensor decomposition for clustering via manifold optimization
Y Sun, J Gao, X Hong, B Mishra, B Yin
IEEE transactions on pattern analysis and machine intelligence 38 (3), 476-489, 2015
재정 지원 요구사항 정책: Australian Research Council, National Fund for Scientific Research, Belgium …
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring
J Zhang, H Chen, S Chen, X Hong
IEEE transactions on cybernetics 49 (1), 198-210, 2017
재정 지원 요구사항 정책: Chinese Academy of Sciences, National Natural Science Foundation of China
Tensor LRR and sparse coding-based subspace clustering
Y Fu, J Gao, D Tien, Z Lin, X Hong
IEEE transactions on neural networks and learning systems 27 (10), 2120-2133, 2016
재정 지원 요구사항 정책: Australian Research Council, National Natural Science Foundation of China
A fast adaptive tunable RBF network for nonstationary systems
H Chen, Y Gong, X Hong, S Chen
IEEE Transactions on Cybernetics 46 (12), 2683-2692, 2015
재정 지원 요구사항 정책: UK Engineering and Physical Sciences Research Council
Zero-attracting recursive least squares algorithms
X Hong, J Gao, S Chen
IEEE Transactions on Vehicular Technology 66 (1), 213-221, 2016
재정 지원 요구사항 정책: Australian Research Council
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings
J Zhang, M Chen, X Hong
Neurocomputing 458, 319-326, 2021
재정 지원 요구사항 정책: Chinese Academy of Sciences, National Natural Science Foundation of China
Gaussian processes autoencoder for dimensionality reduction
X Jiang, J Gao, X Hong, Z Cai
Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014
재정 지원 요구사항 정책: Australian Research Council
Continual learning for multimode dynamic process monitoring with applications to an ultra–supercritical thermal power plant
J Zhang, D Zhou, M Chen, X Hong
IEEE transactions on Automation Science and Engineering 20 (1), 137-150, 2022
재정 지원 요구사항 정책: National Natural Science Foundation of China
Low rank representation on riemannian manifold of symmetric positive definite matrices
Y Fu, J Gao, X Hong, D Tien
Proceedings of the 2015 SIAM International Conference on Data Mining, 316-324, 2015
재정 지원 요구사항 정책: Australian Research Council
A model‐based PID controller for Hammerstein systems using B‐spline neural networks
X Hong, S Iplikci, S Chen, K Warwick
International Journal of Adaptive Control and Signal Processing 28 (3-5 …, 2014
재정 지원 요구사항 정책: UK Engineering and Physical Sciences Research Council
Continual learning-based probabilistic slow feature analysis for monitoring multimode nonstationary processes
J Zhang, D Zhou, M Chen, X Hong
IEEE Transactions on Automation Science and Engineering 21 (1), 733-745, 2022
재정 지원 요구사항 정책: National Natural Science Foundation of China
Sparse probability density function estimation using the minimum integrated square error
X Hong, S Chen, A Qatawneh, K Daqrouq, M Sheikh, A Morfeq
Neurocomputing 115, 122-129, 2013
재정 지원 요구사항 정책: UK Engineering and Physical Sciences Research Council
Sparse density estimation on the multinomial manifold
X Hong, J Gao, S Chen, T Zia
IEEE Transactions on Neural Networks and Learning Systems 26 (11), 2972-2977, 2015
재정 지원 요구사항 정책: Australian Research Council
Joint multiple dictionary learning for tensor sparse coding
Y Fu, J Gao, Y Sun, X Hong
2014 International Joint Conference on Neural Networks (IJCNN), 2957-2964, 2014
재정 지원 요구사항 정책: Australian Research Council
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation
J Zhang, M Chen, H Chen, X Hong, D Zhou
Industrial & Engineering Chemistry Research 58 (14), 5579-5587, 2019
재정 지원 요구사항 정책: National Natural Science Foundation of China
Monitoring multimode nonlinear dynamic processes: an efficient sparse dynamic approach with continual learning ability
J Zhang, M Chen, X Hong
IEEE Transactions on Industrial Informatics 19 (7), 8029-8038, 2022
재정 지원 요구사항 정책: National Natural Science Foundation of China
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