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Muzhou Hou
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2020 – today
- 2025
- [j49]Waseem Ahmad, Aurang Zeb, Muhammad Asif, Muzhou Hou:
Bipolar fuzzy soft Hamacher aggregations operators and their application in triage procedure for handling emergency earthquake disaster. J. Supercomput. 81(1): 294 (2025) - 2024
- [j48]Jiaoju Wang, Jian Song, Zheng Wang, Shuang Mao, Mengli Kong, Yitao Mao, Muzhou Hou, Xuewen Wu:
Auto-metric distribution propagation graph neural network with a meta-learning strategy for diagnosis of otosclerosis. Appl. Intell. 54(7): 5558-5575 (2024) - [j47]Kexin Miao, Alphonse Houssou Hounye, Liuyan Su, Qi Pan, Jiaoju Wang, Muzhou Hou, Li Xiong:
Exploring explainable machine learning and Shapley additive exPlanations (SHAP) technique to uncover key factors of HNSC cancer: An analysis of the best practices. Biomed. Signal Process. Control. 89: 105752 (2024) - [j46]Weiying Zheng, Menglin Kong, Ruichen Li, Li Xiong, Xingquan Li, Muzhou Hou, Cong Cao:
A novel automatic detection and classification algorithm for elderly cognitive impairment using CSVM. Biomed. Signal Process. Control. 93: 106195 (2024) - [j45]Qi Pan, Alphonse Houssou Hounye, Kexin Miao, Liuyan Su, Jiaoju Wang, Muzhou Hou, Li Xiong:
Explainable machine learning model identified potential biomarkers in liver cancer survival prediction. Biomed. Signal Process. Control. 96: 106504 (2024) - [j44]Aurang Zeb, Waseem Ahmad, Muhammad Asif, Muzhou Hou:
A comprehensive decision support system for optimizing solar power projects using Fermatean fuzzy soft Einstein aggregation operators. Comput. Electr. Eng. 119: 109519 (2024) - [j43]Menglin Kong, Muzhou Hou, Shaojie Zhao, Feng Liu, Ri Su, Yinghao Chen:
DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems. Expert Syst. Appl. 243: 122880 (2024) - [j42]Muzhou Hou, Jiaoju Wang, Taohua Liu, Zhaoying Li, Alphonse Houssou Hounye, Xiaowei Liu, Kaifu Wang, Shuijiao Chen:
A graph-optimized deep learning framework for recognition of Barrett's esophagus and reflux esophagitis. Multim. Tools Appl. 83(36): 83747-83767 (2024) - [j41]Menglin Kong, Ruichen Li, Jia Wang, Xingquan Li, Shengzhong Jin, Wanying Xie, Muzhou Hou, Cong Cao:
CFTNet: a robust credit card fraud detection model enhanced by counterfactual data augmentation. Neural Comput. Appl. 36(15): 8607-8623 (2024) - [c10]Menglin Kong, Li Fan, Shengze Xu, Xingquan Li, Muzhou Hou, Cong Cao:
Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation. PAKDD (5) 2024: 105-117 - [c9]Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou:
C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement. WSDM 2024: 341-349 - 2023
- [j40]Jiaoju Wang, Yan Luo, Zheng Wang, Alphonse Houssou Hounye, Cong Cao, Muzhou Hou, Jianglin Zhang:
A cell phone app for facial acne severity assessment. Appl. Intell. 53(7): 7614-7633 (2023) - [j39]Jiaoju Wang, Chong Wang, Zheng Wang, Alphonse Houssou Hounye, Zhaoying Li, Menglin Kong, Muzhou Hou, Jianglin Zhang, Min Qi:
A novel automatic acne detection and severity quantification scheme using deep learning. Biomed. Signal Process. Control. 84: 104803 (2023) - [j38]Xiaoliang Xie, Bingqi Xie, Dan Xiong, Muzhou Hou, Jinxia Zuo, Guo Wei, Julien Chevallier:
New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness. J. Ambient Intell. Humaniz. Comput. 14(9): 12789-12805 (2023) - [j37]Xiaoliang Xie, Bingqi Xie, Dan Xiong, Muzhou Hou, Jinxia Zuo, Guo Wei, Julien Chevallier:
Correction to: New theoretical ISM‑K2 Bayesian network model for evaluating vaccination effectiveness. J. Ambient Intell. Humaniz. Comput. 14(10): 14383 (2023) - [j36]Cong Cao, Yue Qiu, Zheng Wang, Jiarui Ou, Jiaoju Wang, Alphonse Houssou Hounye, Muzhou Hou, Qiuhong Zhou, Jianglin Zhang:
Nested segmentation and multi-level classification of diabetic foot ulcer based on mask R-CNN. Multim. Tools Appl. 82(12): 18887-18906 (2023) - [j35]Cong Cao, Jian Song, Ri Su, Xuewen Wu, Zheng Wang, Muzhou Hou:
Structure-constrained deep feature fusion for chronic otitis media and cholesteatoma identification. Multim. Tools Appl. 82(29): 45869-45889 (2023) - [j34]Jiaoju Wang, Jiewen Luo, Alphonse Houssou Hounye, Zheng Wang, Jiehui Liang, Yangbo Cao, Jing Feng, Lingjie Tan, Zhengcheng Wang, Menglin Kong, Muzhou Hou, Jinshen He:
A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification. Neural Comput. Appl. 35(26): 19351-19364 (2023) - [j33]Yunlei Yang, Yang Wu, Muzhou Hou, Jianshu Luo, Xiaoliang Xie:
Solving Emden-Fowler Equations Using Improved Extreme Learning Machine Algorithm Based on Block Legendre Basis Neural Network. Neural Process. Lett. 55(6): 7135-7154 (2023) - [j32]Min Liu, Wenping Peng, Muzhou Hou, Zhongchu Tian:
Radial basis function neural network with extreme learning machine algorithm for solving ordinary differential equations. Soft Comput. 27(7): 3955-3964 (2023) - [c8]Menglin Kong, Ruichen Li, Fan Liu, Xingquan Li, Juan Cheng, Muzhou Hou, Cong Cao:
Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm. ICANN (8) 2023: 456-470 - [c7]Menglin Kong, Ri Su, Shaojie Zhao, Muzhou Hou:
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning. IJCNN 2023: 1-8 - [c6]Menglin Kong, Shaojie Zhao, Juan Cheng, Xingquan Li, Ri Su, Muzhou Hou, Cong Cao:
FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks. SMC 2023: 240-246 - [i7]Menglin Kong, Muzhou Hou, Shaojie Zhao, Feng Liu, Ri Su, Yinghao Chen:
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems. CoRR abs/2305.12058 (2023) - [i6]Menglin Kong, Shaojie Zhao, Juan Cheng, Xingquan Li, Ri Su, Muzhou Hou, Cong Cao:
FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks. CoRR abs/2307.12518 (2023) - [i5]Menglin Kong, Ri Su, Shaojie Zhao, Muzhou Hou:
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning. CoRR abs/2307.12519 (2023) - [i4]Menglin Kong, Ruichen Li, Fan Liu, Xingquan Li, Juan Cheng, Muzhou Hou, Cong Cao:
Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm. CoRR abs/2307.12524 (2023) - [i3]Jialin Liu, Lu Yan, Xiaowei Liu, Yuzhuo Dai, Fanggen Lu, Yuanting Ma, Muzhou Hou, Zheng Wang:
A manometric feature descriptor with linear-SVM to distinguish esophageal contraction vigor. CoRR abs/2311.15609 (2023) - 2022
- [j31]Alphonse Houssou Hounye, Miao Wan, Zheng Wang, Min Qi, Jianglin Zhang, Muzhou Hou:
Comprehensive analysis of the expression and prognosis for GPXs in cutaneous melanoma using bioinformatics analysis. Biomed. Signal Process. Control. 77: 103804 (2022) - [j30]Zheng Wang, Alphonse Houssou Hounye, Jianglin Zhang, Muzhou Hou, Min Qi:
Deep learning for abdominal adipose tissue segmentation with few labelled samples. Int. J. Comput. Assist. Radiol. Surg. 17(3): 579-587 (2022) - [j29]Muzhou Hou, Huawei Fu, Zheng Hu, Jia Wang, Yinghao Chen, Yunlei Yang:
Numerical solving of generalized Black-Scholes differential equation using deep learning based on blocked residual connection. Digit. Signal Process. 126: 103498 (2022) - [j28]Zheng Wang, Jian Song, Ri Su, Muzhou Hou, Min Qi, Jianglin Zhang, Xuewen Wu:
Structure-aware deep learning for chronic middle ear disease. Expert Syst. Appl. 194: 116519 (2022) - [j27]Yinghao Chen, Ying Li, Minfeng Wu, Fanggen Lu, Muzhou Hou, Yani Yin:
Differentiating Crohn's disease from intestinal tuberculosis using a fusion correlation neural network. Knowl. Based Syst. 244: 108570 (2022) - [j26]Zheng Wang, Zhaoying Li, Ying Xiao, Xiaowei Liu, Muzhou Hou, Shuijiao Chen:
Three feature streams based on a convolutional neural network for early esophageal cancer identification. Multim. Tools Appl. 81(26): 38001-38018 (2022) - [c5]Ri Su, Alphonse Houssou Hounye, Muzhou Hou, Cong Cao:
PHN: Parallel Heterogeneous Network with Soft Gating for CTR Prediction. CICAI (2) 2022: 413-424 - [c4]Yunfeng Zhang, Jiaqi Cao, Xiaopeng Li, Jiarui Ou, Shihua Zhu, Muzhou Hou, Cong Cao:
Pedestrian Re-recognition Based on Memory Network and Graph Structure. IFTC 2022: 3-15 - [i2]Ri Su, Alphonse Houssou Hounye, Cong Cao, Muzhou Hou:
PHN: Parallel heterogeneous network with soft gating for CTR prediction. CoRR abs/2206.09184 (2022) - 2021
- [j25]Zheng Wang, Lu Yan, Yuzhuo Dai, Fanggen Lu, Jie Zhang, Muzhou Hou, Xiaowei Liu:
Attention graph convolutional nets for esophageal contraction pattern recognition in high-resolution manometries. Biomed. Signal Process. Control. 68: 102734 (2021) - [j24]Zheng Wang, Muzhou Hou, Lu Yan, Yuzhuo Dai, Yani Yin, Xiaowei Liu:
Deep learning for tracing esophageal motility function over time. Comput. Methods Programs Biomed. 207: 106212 (2021) - [j23]Yinghao Chen, Hanyu Yu, Xiangyu Meng, Xiaoliang Xie, Muzhou Hou, Julien Chevallier:
Numerical solving of the generalized Black-Scholes differential equation using Laguerre neural network. Digit. Signal Process. 112: 103003 (2021) - [j22]Zheng Wang, Alphonse Houssou Hounye, Jiaoju Wang, Cong Cao, Muzhou Hou:
Adaptive multilayer neural network for solving elliptic partial differential equations with different boundary conditions. Digit. Signal Process. 118: 103223 (2021) - [j21]Zheng Wang, Ying Xiao, Futian Weng, Xiaojun Li, Danhua Zhu, Fanggen Lu, Xiaowei Liu, Muzhou Hou, Yu Meng:
R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks. J. Digit. Imaging 34(2): 337-350 (2021) - [j20]Yinghao Chen, Rong Chen, Jundong Hou, Muzhou Hou, Xiaoliang Xie:
Research on users' participation mechanisms in virtual tourism communities by Bayesian network. Knowl. Based Syst. 226: 107161 (2021) - [j19]Zheng Wang, Futian Weng, Jialin Liu, Kai Cao, Muzhou Hou, Juan Wang:
Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning. Int. J. Mach. Learn. Cybern. 12(6): 1839-1851 (2021) - [j18]Zheng Wang, Ying Xiao, Yong Li, Jie Zhang, Fanggen Lu, Muzhou Hou, Xiaowei Liu:
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays. Pattern Recognit. 110: 107613 (2021) - 2020
- [j17]Tianle Zhang, Muzhou Hou, Tao Zhou, Zhaode Liu, Weirong Cheng, Yangjin Cheng:
Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature. Comput. Sci. Inf. Syst. 17(2): 427-443 (2020) - [j16]Yanfei Lu, Gang Chen, Qingfei Yin, Hongli Sun, Muzhou Hou:
Solving the ruin probabilities of some risk models with Legendre neural network algorithm. Digit. Signal Process. 99: 102634 (2020) - [j15]Futian Weng, Yinghao Chen, Zheng Wang, Muzhou Hou, Jianshu Luo, Zhongchu Tian:
Gold price forecasting research based on an improved online extreme learning machine algorithm. J. Ambient Intell. Humaniz. Comput. 11(10): 4101-4111 (2020) - [j14]Yunlei Yang, Muzhou Hou, Jianshu Luo, Zhongchu Tian:
Numerical solution of several kinds of differential equations using block neural network method with improved extreme learning machine algorithm. J. Intell. Fuzzy Syst. 38(3): 3445-3461 (2020) - [j13]Yangjin Cheng, Muzhou Hou, Juan Wang:
An improved optimal trigonometric ELM algorithm for numerical solution to ruin probability of Erlang(2) risk model. Multim. Tools Appl. 79(41-42): 30235-30255 (2020) - [j12]Yunlei Yang, Muzhou Hou, Hongli Sun, Tianle Zhang, Futian Weng, Jianshu Luo:
Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations. Soft Comput. 24(2): 1083-1096 (2020) - [j11]Yinghao Chen, Chun Yi, Xiaoliang Xie, Muzhou Hou, Yangjin Cheng:
Solution of Ruin Probability for Continuous Time Model Based on Block Trigonometric Exponential Neural Network. Symmetry 12(6): 876 (2020)
2010 – 2019
- 2019
- [j10]Tao Zhou, Xia Liu, Muzhou Hou, Chunhui Liu:
Numerical solution for ruin probability of continuous time model based on neural network algorithm. Neurocomputing 331: 67-76 (2019) - [j9]Hongli Sun, Muzhou Hou, Yunlei Yang, Tianle Zhang, Futian Weng, Feng Han:
Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm. Neural Process. Lett. 50(2): 1153-1172 (2019) - 2018
- [j8]Zhou Tao, Muzhou Hou, Chunhui Liu:
Forecasting stock index with multi-objective optimization model based on optimized neural network architecture avoiding overfitting. Comput. Sci. Inf. Syst. 15(1): 211-236 (2018) - [j7]Muzhou Hou, Yunlei Yang, Liu Taohua, Wenping Peng:
Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc. Frontiers Comput. Sci. 12(6): 1261-1263 (2018) - [c3]Tianle Zhang, Muzhou Hou, Futian Weng, Yunlei Yang, Hongli Sun, Zheng Wang, Zhong Gao, Jianshu Luo:
An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine. CSAE 2018: 15:1-15:8 - 2017
- [j6]Muzhou Hou, Liu Taohua, Yunlei Yang, Zhu Hao, Liu Hongjuan, Yuan Xiugui, Xinge Liu:
A new hybrid constructive neural network method for impacting and its application on tungsten price prediction. Appl. Intell. 47(1): 28-43 (2017) - 2014
- [j5]Xi Lu, Muzhou Hou, Moon Ho Lee, Jun Li, Duan Wei, Han Hai, Yalin Wu:
A new constructive neural network method for noise processing and its application on stock market prediction. Appl. Soft Comput. 15: 57-66 (2014) - 2013
- [i1]Muzhou Hou, Moon Ho Lee:
A New Constructive Method to Optimize Neural Network Architecture and Generalization. CoRR abs/1302.0324 (2013) - 2012
- [j4]Muzhou Hou, Xuli Han:
Multivariate numerical approximation using constructive L2(R) RBF neural network. Neural Comput. Appl. 21(1): 25-34 (2012) - 2011
- [j3]Muzhou Hou, Xuli Han:
The multidimensional function approximation based on constructive wavelet RBF neural network. Appl. Soft Comput. 11(2): 2173-2177 (2011) - 2010
- [j2]Muzhou Hou, Xuli Han:
Constructive approximation to multivariate function by decay RBF neural network. IEEE Trans. Neural Networks 21(9): 1517-1523 (2010)
2000 – 2009
- 2009
- [j1]Muzhou Hou, Xuli Han, Yixuan Gan:
Constructive approximation to real function by wavelet neural networks. Neural Comput. Appl. 18(8): 883-889 (2009) - 2008
- [c2]Xuli Han, Muzhou Hou:
Quasi-interpolation for Data Fitting by the Radial Basis Functions. GMP 2008: 541-547 - 2007
- [c1]Xuli Han, Muzhou Hou:
Neural Networks for Approximation of Real Functions with the Gaussian Functions. ICNC (1) 2007: 601-605
Coauthor Index
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last updated on 2025-01-03 23:28 CET by the dblp team
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