Muzhou Hou

Orcid: 0000-0002-6299-8887

According to our database1, Muzhou Hou authored at least 60 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A graph-optimized deep learning framework for recognition of Barrett's esophagus and reflux esophagitis.
Multim. Tools Appl., November, 2024

CFTNet: a robust credit card fraud detection model enhanced by counterfactual data augmentation.
Neural Comput. Appl., May, 2024

Auto-metric distribution propagation graph neural network with a meta-learning strategy for diagnosis of otosclerosis.
Appl. Intell., April, 2024

DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems.
Expert Syst. Appl., 2024

A comprehensive decision support system for optimizing solar power projects using Fermatean fuzzy soft Einstein aggregation operators.
Comput. Electr. Eng., 2024

A novel automatic detection and classification algorithm for elderly cognitive impairment using CSVM.
Biomed. Signal Process. Control., 2024

Explainable machine learning model identified potential biomarkers in liver cancer survival prediction.
Biomed. Signal Process. Control., 2024

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., 2024

C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Solving Emden-Fowler Equations Using Improved Extreme Learning Machine Algorithm Based on Block Legendre Basis Neural Network.
Neural Process. Lett., December, 2023

Structure-constrained deep feature fusion for chronic otitis media and cholesteatoma identification.
Multim. Tools Appl., December, 2023

Correction to: New theoretical ISM‑K2 Bayesian network model for evaluating vaccination effectiveness.
J. Ambient Intell. Humaniz. Comput., October, 2023

A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification.
Neural Comput. Appl., September, 2023

A novel automatic acne detection and severity quantification scheme using deep learning.
Biomed. Signal Process. Control., July, 2023

Nested segmentation and multi-level classification of diabetic foot ulcer based on mask R-CNN.
Multim. Tools Appl., May, 2023

Radial basis function neural network with extreme learning machine algorithm for solving ordinary differential equations.
Soft Comput., April, 2023

A cell phone app for facial acne severity assessment.
Appl. Intell., April, 2023

New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness.
J. Ambient Intell. Humaniz. Comput., 2023

A manometric feature descriptor with linear-SVM to distinguish esophageal contraction vigor.
CoRR, 2023

FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
Three feature streams based on a convolutional neural network for early esophageal cancer identification.
Multim. Tools Appl., 2022

Differentiating Crohn's disease from intestinal tuberculosis using a fusion correlation neural network.
Knowl. Based Syst., 2022

Structure-aware deep learning for chronic middle ear disease.
Expert Syst. Appl., 2022

Numerical solving of generalized Black-Scholes differential equation using deep learning based on blocked residual connection.
Digit. Signal Process., 2022

Deep learning for abdominal adipose tissue segmentation with few labelled samples.
Int. J. Comput. Assist. Radiol. Surg., 2022

Comprehensive analysis of the expression and prognosis for GPXs in cutaneous melanoma using bioinformatics analysis.
Biomed. Signal Process. Control., 2022

Pedestrian Re-recognition Based on Memory Network and Graph Structure.
Proceedings of the Digital Multimedia Communications - The 19th International Forum, 2022

PHN: Parallel Heterogeneous Network with Soft Gating for CTR Prediction.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays.
Pattern Recognit., 2021

Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning.
Int. J. Mach. Learn. Cybern., 2021

Research on users' participation mechanisms in virtual tourism communities by Bayesian network.
Knowl. Based Syst., 2021

R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks.
J. Digit. Imaging, 2021

Adaptive multilayer neural network for solving elliptic partial differential equations with different boundary conditions.
Digit. Signal Process., 2021

Numerical solving of the generalized Black-Scholes differential equation using Laguerre neural network.
Digit. Signal Process., 2021

Deep learning for tracing esophageal motility function over time.
Comput. Methods Programs Biomed., 2021

Attention graph convolutional nets for esophageal contraction pattern recognition in high-resolution manometries.
Biomed. Signal Process. Control., 2021

2020
Solution of Ruin Probability for Continuous Time Model Based on Block Trigonometric Exponential Neural Network.
Symmetry, 2020

Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations.
Soft Comput., 2020

An improved optimal trigonometric ELM algorithm for numerical solution to ruin probability of Erlang(2) risk model.
Multim. Tools Appl., 2020

Numerical solution of several kinds of differential equations using block neural network method with improved extreme learning machine algorithm.
J. Intell. Fuzzy Syst., 2020

Gold price forecasting research based on an improved online extreme learning machine algorithm.
J. Ambient Intell. Humaniz. Comput., 2020

Solving the ruin probabilities of some risk models with Legendre neural network algorithm.
Digit. Signal Process., 2020

Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature.
Comput. Sci. Inf. Syst., 2020

2019
Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm.
Neural Process. Lett., 2019

Numerical solution for ruin probability of continuous time model based on neural network algorithm.
Neurocomputing, 2019

2018
Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc.
Frontiers Comput. Sci., 2018

Forecasting stock index with multi-objective optimization model based on optimized neural network architecture avoiding overfitting.
Comput. Sci. Inf. Syst., 2018

An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine.
Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

2017
A new hybrid constructive neural network method for impacting and its application on tungsten price prediction.
Appl. Intell., 2017

2014
A new constructive neural network method for noise processing and its application on stock market prediction.
Appl. Soft Comput., 2014

2013
A New Constructive Method to Optimize Neural Network Architecture and Generalization
CoRR, 2013

2012
Multivariate numerical approximation using constructive L<sup>2</sup>(R) RBF neural network.
Neural Comput. Appl., 2012

2011
The multidimensional function approximation based on constructive wavelet RBF neural network.
Appl. Soft Comput., 2011

2010
Constructive approximation to multivariate function by decay RBF neural network.
IEEE Trans. Neural Networks, 2010

2009
Constructive approximation to real function by wavelet neural networks.
Neural Comput. Appl., 2009

2008
Quasi-interpolation for Data Fitting by the Radial Basis Functions.
Proceedings of the Advances in Geometric Modeling and Processing, 2008

2007
Neural Networks for Approximation of Real Functions with the Gaussian Functions.
Proceedings of the Third International Conference on Natural Computation, 2007


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