Nour-Eddine Joudar

Orcid: 0000-0002-8267-9680

According to our database1, Nour-Eddine Joudar authored at least 20 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Novel dropout approach for mitigating over-smoothing in graph neural networks.
Appl. Intell., April, 2025

STP-CNN: Selection of transfer parameters in convolutional neural networks.
Expert Syst. J. Knowl. Eng., February, 2025

Enhancing Brain Tumor Classification Through Optimal Kernel Selection With GL1$$ {GL}_1 $$-Regularization.
Int. J. Imaging Syst. Technol., 2025

ODTL: An Optimal Deep Transfer Learning model for brain tumor classification.
Neurocomputing, 2025

Proposal of a novel quaternionic integer reversible Racah transform and a hyperchaotic system for secure encryption of colored medical images.
Expert Syst. Appl., 2025

Protecting Medical Images Using a Zero-Watermarking Approach Based on Fractional Racah Moments.
IEEE Access, 2025

2024
Optimizing parameter settings for hopfield neural networks using reinforcement learning.
Evol. Syst., December, 2024

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

A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm.
Neural Process. Lett., April, 2024

Parameter tuning of continuous Hopfield network applied to combinatorial optimization.
Ann. Math. Artif. Intell., April, 2024

Evolutionary algorithm-based hyperparameter tuning of one-dimensional CNNs for diabetes mellitus prediction.
Evol. Intell., 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

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

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

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

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


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