Mohamed Ettaouil

According to our database1, Mohamed Ettaouil authored at least 30 papers between 1997 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-objective optimization for reducing feature maps redundancy in CNNs.
Multim. Tools Appl., September, 2024

2023
A Multi-objective Optimization Model for Redundancy Reduction in Convolutional Neural Networks.
Neural Process. Lett., December, 2023

Localization and reduction of redundancy in CNN using L<sub>1</sub>-sparsity induction.
J. Ambient Intell. Humaniz. Comput., October, 2023

Improving Continuous Hopfield Network Stability Using Runge-Kutta Method.
Int. J. Comput., 2023

2022
A deep learning framework for time series classification using normal cloud representation and convolutional neural network optimization.
Comput. Intell., December, 2022

Convergence of batch gradient algorithm with smoothing composition of group l<sub>0</sub> and l<sub>1/2</sub> regularization for feedforward neural networks.
Prog. Artif. Intell., 2022

KRR-CNN: kernels redundancy reduction in convolutional neural networks.
Neural Comput. Appl., 2022

An adaptive Drop method for deep neural networks regularization: Estimation of DropConnect hyperparameter using generalization gap.
Knowl. Based Syst., 2022

2021
A nonlinear plane strain finite element analysis for multilayer elastomeric bearings.
Appl. Math. Comput., 2021

2020
Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization.
Neurocomputing, 2020

New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo.
Evol. Syst., 2020

2019
Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network.
Soft Comput., 2019

Using continuous Hopfield neural network for solving a new optimization architecture model of probabilistic self organizing map.
Neurocomputing, 2019

Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions.
Int. J. Inf. Syst. Serv. Sect., 2019

Mathematical mixed-integer programming for solving a new optimization model of selective image restoration: modelling and resolution by CHN and GA.
Circuits Syst. Signal Process., 2019

2018
Vector Quantization for Speech Compression by a New Version of PRSOM.
Int. J. Artif. Intell. Tools, 2018

2017
Multilayer Perceptron: Architecture Optimization and training with mixed activation functions.
Proceedings of the 2nd international Conference on Big Data, Cloud and Applications, 2017

An improved model for restoring and protecting the digital images: mathematical modeling and optimization.
Proceedings of the 2nd international Conference on Big Data, Cloud and Applications, 2017

2016
Multilayer Perceptron: Architecture Optimization and Training.
Int. J. Interact. Multim. Artif. Intell., 2016

Solving the Weighted Constraint Satisfaction Problems Via the Neural Network Approach.
Int. J. Interact. Multim. Artif. Intell., 2016

Architecture Optimization Model for the Probabilistic Self-Organizing Maps and Speech Compression.
Int. J. Comput. Intell. Appl., 2016

Portfolio selection problem: New multicriteria approach for the mean-semivariance model.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

Genetic algorithm for neural network architecture optimization.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

Original approach for reduction of high dimensionality in unsupervised learning.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

2015
A genetic algorithm for solving a new image restoration model based on selective filtering.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

Architecture Optimization Model for the Probabilistic Self-organizing Maps.
Proceedings of the International Conference on Big Data, 2015

2014
Neural network apply to predict aircraft trajectory for conflict resolution.
Proceedings of the 9th International Conference on Intelligent Systems: Theories and Applications, 2014

Architecture optimization model for the probabilistic self-organizing maps and classification.
Proceedings of the 9th International Conference on Intelligent Systems: Theories and Applications, 2014

Novel method to optimize the architecture of Kohonen's topological maps and clustering.
Proceedings of the 2nd International Conference on Logistics Operations Management, 2014

1997
A 0-1 Quadratic Knapsack Problem for Modelizing and Solving the Constaint Satisfaction Problems.
Proceedings of the Progress in Artificial Intelligence, 1997


  Loading...