Neural Networks for Approximation of Real Functions with the Gaussian Functions. - Xuli Han; Muzhou Hou (ICNC (1), 2007)

Quasi-interpolation for Data Fitting by the Radial Basis Functions. - Xuli Han; Muzhou Hou (GMP, 2008)

Constructive approximation to real function by wavelet neural networks. - Muzhou Hou; Xuli Han; Yixuan Gan (Neural Comput. Appl., 2009)

Constructive approximation to multivariate function by decay RBF neural network. - Muzhou Hou; Xuli Han (IEEE Trans. Neural Networks, 2010)

The multidimensional function approximation based on constructive wavelet RBF neural network. - Muzhou Hou; Xuli Han (Appl. Soft Comput., 2011)

Multivariate numerical approximation using constructive L2(R) RBF neural network. - Muzhou Hou; Xuli Han (Neural Comput. Appl., 2012)

A New Constructive Method to Optimize Neural Network Architecture and Generalization - Muzhou Hou; Moon Ho Lee (CoRR, 2013)

A new constructive neural network method for noise processing and its application on stock market prediction. - Xi Lu; Muzhou Hou; Moon Ho Lee; Jun Li 036; Duan Wei; Han Hai; Yalin Wu (Appl. Soft Comput., 2014)

A new hybrid constructive neural network method for impacting and its application on tungsten price prediction. - Muzhou Hou; Liu Taohua; Yunlei Yang; Zhu Hao; Liu Hongjuan; Yuan Xiugui; Xinge Liu (Appl. Intell., 2017)

An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine. - Tianle Zhang; Muzhou Hou; Futian Weng; Yunlei Yang; Hongli Sun; Zheng Wang 047; Zhong Gao; Jianshu Luo (CSAE, 2018)

Forecasting stock index with multi-objective optimization model based on optimized neural network architecture avoiding overfitting. - Zhou Tao; Muzhou Hou; Chunhui Liu 006 (Comput. Sci. Inf. Syst., 2018)

Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc. - Muzhou Hou; Yunlei Yang; Liu Taohua; Wenping Peng (Frontiers Comput. Sci., 2018)

Numerical solution for ruin probability of continuous time model based on neural network algorithm. - Tao Zhou; Xia Liu; Muzhou Hou; Chunhui Liu 006 (Neurocomputing, 2019)

Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm. - Hongli Sun; Muzhou Hou; Yunlei Yang; Tianle Zhang; Futian Weng; Feng Han (Neural Process. Lett., 2019)

Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature. - Tianle Zhang; Muzhou Hou; Tao Zhou; Zhaode Liu; Weirong Cheng; Yangjin Cheng (Comput. Sci. Inf. Syst., 2020)

Solving the ruin probabilities of some risk models with Legendre neural network algorithm. - Yanfei Lu; Gang Chen; Qingfei Yin; Hongli Sun; Muzhou Hou (Digit. Signal Process., 2020)

Gold price forecasting research based on an improved online extreme learning machine algorithm. - Futian Weng; Yinghao Chen; Zheng Wang 047; Muzhou Hou; Jianshu Luo; Zhongchu Tian (J. Ambient Intell. Humaniz. Comput., 2020)

Numerical solution of several kinds of differential equations using block neural network method with improved extreme learning machine algorithm. - Yunlei Yang; Muzhou Hou; Jianshu Luo; Zhongchu Tian (J. Intell. Fuzzy Syst., 2020)

An improved optimal trigonometric ELM algorithm for numerical solution to ruin probability of Erlang(2) risk model. - Yangjin Cheng; Muzhou Hou; Juan Wang (Multim. Tools Appl., 2020)

Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations. - Yunlei Yang; Muzhou Hou; Hongli Sun; Tianle Zhang; Futian Weng; Jianshu Luo (Soft Comput., 2020)

Solution of Ruin Probability for Continuous Time Model Based on Block Trigonometric Exponential Neural Network. - Yinghao Chen; Chun Yi; Xiaoliang Xie; Muzhou Hou; Yangjin Cheng (Symmetry, 2020)

Attention graph convolutional nets for esophageal contraction pattern recognition in high-resolution manometries. - Zheng Wang 047; Lu Yan; Yuzhuo Dai; Fanggen Lu; Jie Zhang; Muzhou Hou; Xiaowei Liu (Biomed. Signal Process. Control., 2021)

Deep learning for tracing esophageal motility function over time. - Zheng Wang 047; Muzhou Hou; Lu Yan; Yuzhuo Dai; Yani Yin; Xiaowei Liu (Comput. Methods Programs Biomed., 2021)

Numerical solving of the generalized Black-Scholes differential equation using Laguerre neural network. - Yinghao Chen; Hanyu Yu; Xiangyu Meng; Xiaoliang Xie; Muzhou Hou; Julien Chevallier (Digit. Signal Process., 2021)

Adaptive multilayer neural network for solving elliptic partial differential equations with different boundary conditions. - Zheng Wang 047; Alphonse Houssou Hounye; Jiaoju Wang; Cong Cao 003; Muzhou Hou (Digit. Signal Process., 2021)

R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks. - Zheng Wang 047; Ying Xiao; Futian Weng; Xiaojun Li; Danhua Zhu; Fanggen Lu; Xiaowei Liu; Muzhou Hou; Yu Meng (J. Digit. Imaging, 2021)

Research on users' participation mechanisms in virtual tourism communities by Bayesian network. - Yinghao Chen; Rong Chen; Jundong Hou; Muzhou Hou; Xiaoliang Xie (Knowl. Based Syst., 2021)

Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning. - Zheng Wang 047; Futian Weng; Jialin Liu; Kai Cao; Muzhou Hou; Juan Wang (Int. J. Mach. Learn. Cybern., 2021)

Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays. - Zheng Wang 047; Ying Xiao; Yong Li; Jie Zhang; Fanggen Lu; Muzhou Hou; Xiaowei Liu (Pattern Recognit., 2021)

PHN: Parallel Heterogeneous Network with Soft Gating for CTR Prediction. - Ri Su; Alphonse Houssou Hounye; Muzhou Hou; Cong Cao 003 (CICAI (2), 2022)

Pedestrian Re-recognition Based on Memory Network and Graph Structure. - Yunfeng Zhang; Jiaqi Cao; Xiaopeng Li; Jiarui Ou; Shihua Zhu; Muzhou Hou; Cong Cao 003 (IFTC, 2022)

Comprehensive analysis of the expression and prognosis for GPXs in cutaneous melanoma using bioinformatics analysis. - Alphonse Houssou Hounye; Miao Wan; Zheng Wang 047; Min Qi; Jianglin Zhang; Muzhou Hou (Biomed. Signal Process. Control., 2022)

Deep learning for abdominal adipose tissue segmentation with few labelled samples. - Zheng Wang 047; Alphonse Houssou Hounye; Jianglin Zhang; Muzhou Hou; Min Qi (Int. J. Comput. Assist. Radiol. Surg., 2022)

Numerical solving of generalized Black-Scholes differential equation using deep learning based on blocked residual connection. - Muzhou Hou; Huawei Fu; Zheng Hu; Jia Wang 009; Yinghao Chen; Yunlei Yang (Digit. Signal Process., 2022)

Structure-aware deep learning for chronic middle ear disease. - Zheng Wang 047; Jian Song; Ri Su; Muzhou Hou; Min Qi; Jianglin Zhang; Xuewen Wu (Expert Syst. Appl., 2022)

Differentiating Crohn's disease from intestinal tuberculosis using a fusion correlation neural network. - Yinghao Chen; Ying Li; Minfeng Wu; Fanggen Lu; Muzhou Hou; Yani Yin (Knowl. Based Syst., 2022)

Three feature streams based on a convolutional neural network for early esophageal cancer identification. - Zheng Wang 047; Zhaoying Li; Ying Xiao; Xiaowei Liu; Muzhou Hou; Shuijiao Chen (Multim. Tools Appl., 2022)

Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm. - Menglin Kong; Ruichen Li; Fan Liu; Xingquan Li; Juan Cheng; Muzhou Hou; Cong Cao 003 (ICANN (8), 2023)

DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning. - Menglin Kong; Ri Su; Shaojie Zhao; Muzhou Hou (IJCNN, 2023)

FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks. - Menglin Kong; Shaojie Zhao; Juan Cheng; Xingquan Li; Ri Su; Muzhou Hou; Cong Cao 003 (SMC, 2023)

A manometric feature descriptor with linear-SVM to distinguish esophageal contraction vigor. - Jialin Liu; Lu Yan; Xiaowei Liu; Yuzhuo Dai; Fanggen Lu; Yuanting Ma; Muzhou Hou; Zheng Wang 047 (CoRR, 2023)

New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness. - Xiaoliang Xie; Bingqi Xie; Dan Xiong; Muzhou Hou; Jinxia Zuo; Guo Wei 004; Julien Chevallier (J. Ambient Intell. Humaniz. Comput., 2023)

A cell phone app for facial acne severity assessment. - Jiaoju Wang; Yan Luo; Zheng Wang 047; Alphonse Houssou Hounye; Cong Cao 003; Muzhou Hou; Jianglin Zhang (Appl. Intell., 2023)

Radial basis function neural network with extreme learning machine algorithm for solving ordinary differential equations. - Min Liu; Wenping Peng; Muzhou Hou; Zhongchu Tian (Soft Comput., 2023)

Nested segmentation and multi-level classification of diabetic foot ulcer based on mask R-CNN. - Cong Cao 003; Yue Qiu; Zheng Wang 047; Jiarui Ou; Jiaoju Wang; Alphonse Houssou Hounye; Muzhou Hou; Qiuhong Zhou; Jianglin Zhang (Multim. Tools Appl., 2023)

A novel automatic acne detection and severity quantification scheme using deep learning. - Jiaoju Wang; Chong Wang; Zheng Wang 047; Alphonse Houssou Hounye; Zhaoying Li; Menglin Kong; Muzhou Hou; Jianglin Zhang; Min Qi (Biomed. Signal Process. Control., 2023)

A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification. - Jiaoju Wang; Jiewen Luo; Alphonse Houssou Hounye; Zheng Wang 047; Jiehui Liang; Yangbo Cao; Jing Feng; Lingjie Tan; Zhengcheng Wang; Menglin Kong; Muzhou Hou; Jinshen He (Neural Comput. Appl., 2023)

Correction to: New theoretical ISM‑K2 Bayesian network model for evaluating vaccination effectiveness. - Xiaoliang Xie; Bingqi Xie; Dan Xiong; Muzhou Hou; Jinxia Zuo; Guo Wei 004; Julien Chevallier (J. Ambient Intell. Humaniz. Comput., 2023)

Structure-constrained deep feature fusion for chronic otitis media and cholesteatoma identification. - Cong Cao 003; Jian Song; Ri Su; Xuewen Wu; Zheng Wang 047; Muzhou Hou (Multim. Tools Appl., 2023)

Solving Emden-Fowler Equations Using Improved Extreme Learning Machine Algorithm Based on Block Legendre Basis Neural Network. - Yunlei Yang; Yang Wu; Muzhou Hou; Jianshu Luo; Xiaoliang Xie (Neural Process. Lett., 2023)

Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation. - Menglin Kong; Li Fan; Shengze Xu; Xingquan Li; Muzhou Hou; Cong Cao 003 (PAKDD (5), 2024)

C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement. - Menglin Kong; Jia Wang 009; Yushan Pan; Haiyang Zhang 004; Muzhou Hou (WSDM, 2024)

Exploring explainable machine learning and Shapley additive exPlanations (SHAP) technique to uncover key factors of HNSC cancer: An analysis of the best practices. - Kexin Miao; Alphonse Houssou Hounye; Liuyan Su; Qi Pan; Jiaoju Wang; Muzhou Hou; Li Xiong (Biomed. Signal Process. Control., 2024)

Explainable machine learning model identified potential biomarkers in liver cancer survival prediction. - Qi Pan; Alphonse Houssou Hounye; Kexin Miao; Liuyan Su; Jiaoju Wang; Muzhou Hou; Li Xiong (Biomed. Signal Process. Control., 2024)

A novel automatic detection and classification algorithm for elderly cognitive impairment using CSVM. - Weiying Zheng; Menglin Kong; Ruichen Li; Li Xiong; Xingquan Li; Muzhou Hou; Cong Cao 003 (Biomed. Signal Process. Control., 2024)

A comprehensive decision support system for optimizing solar power projects using Fermatean fuzzy soft Einstein aggregation operators. - Aurang Zeb; Waseem Ahmad; Muhammad Asif; Muzhou Hou (Comput. Electr. Eng., 2024)

DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems. - Menglin Kong; Muzhou Hou; Shaojie Zhao; Feng Liu; Ri Su; Yinghao Chen (Expert Syst. Appl., 2024)

Auto-metric distribution propagation graph neural network with a meta-learning strategy for diagnosis of otosclerosis. - Jiaoju Wang; Jian Song; Zheng Wang 047; Shuang Mao; Mengli Kong; Yitao Mao; Muzhou Hou; Xuewen Wu (Appl. Intell., 2024)

CFTNet: a robust credit card fraud detection model enhanced by counterfactual data augmentation. - Menglin Kong; Ruichen Li; Jia Wang; Xingquan Li; Shengzhong Jin; Wanying Xie; Muzhou Hou; Cong Cao 003 (Neural Comput. Appl., 2024)

A graph-optimized deep learning framework for recognition of Barrett's esophagus and reflux esophagitis. - Muzhou Hou; Jiaoju Wang; Taohua Liu; Zhaoying Li; Alphonse Houssou Hounye; Xiaowei Liu; Kaifu Wang; Shuijiao Chen (Multim. Tools Appl., 2024)

ACENet: Adaptive correlation-enhanced network for multivariate time series forecasting. - Yupeng Wu; Muzhou Hou; Haokun Hu (Digit. Signal Process., 2025)

Aczel-Alsina aggregation operators for linear diophantine fuzzy set and their application to multiple-attribute decision making problems. - Muhammad Asif; Aurang Zeb; Umar Ishtiaq; Waseem Ahmad; Muzhou Hou (Expert Syst. Appl., 2025)

Bipolar fuzzy soft Hamacher aggregations operators and their application in triage procedure for handling emergency earthquake disaster. - Waseem Ahmad; Aurang Zeb; Muhammad Asif; Muzhou Hou (J. Supercomput., 2025)

SCARNet: using convolution neural network to predict time series with time-varying variance. - Shaojie Zhao; Menglin Kong; Ruichen Li; Alphonse Houssou Hounye; Ri Su; Muzhou Hou; Cong Cao 003 (Multim. Tools Appl., 2025)

Personalized music recommendation algorithm based on machine learning. - Lanhui Liu; Menglin Kong; Cong Cao 003; Zhanjie Shu; Kecheng Liu; Xingquan Li; Muzhou Hou (Multim. Syst., 2025)

Aczel-Alsina Aggregation Operators for Pythagorean Fuzzy Linear Diophantine Set and Application to Multiple-Attribute Decision-Making Problem Related to Medical Diagnosis. - Muhammad Asif; Umar Ishtiaq; Aurang Zeb; Waseem Ahmad; Muzhou Hou (Int. J. Fuzzy Syst., 2025)

Constraint-Coupled Distributed Coordination Control for Nonlinear Stochastic Multiagent Systems: Application to Power Resource Allocation. - Haokun Hu; Quanxin Zhu; Muzhou Hou (IEEE Trans. Syst. Man Cybern. Syst., 2025)