Abdelkader Berrouachedi

Orcid: 0000-0002-3959-9271

According to our database1, Abdelkader Berrouachedi authored at least 12 papers between 2019 and 2026.

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

2026
CNN-DET: A hybrid deep learning architecture for emotion recognition.
Expert Syst. Appl., 2026

A deep ensemble approach to multi-label classification.
Array, 2026

2025
Cryptography and Bayesian Networks for Security and Trust in IoT, 5G, and Beyond Networks: A Comprehensive Survey.
Proceedings of the 12th International Conference on Software Defined Systems, 2025

Anomaly Detection in Automotive CAN Networks Using a Hybrid Approach.
Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025

2024
Enhancing Multi-Label Classification Through Deep Extra-Trees and Transformation Techniques.
Proceedings of the 21st IEEE/ACS International Conference on Computer Systems and Applications, 2024

2023
Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

A New Hybrid Cipher based on Prime Numbers Generation Complexity: Application in Securing 5G Networks.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

Innovative Routing Solutions: Centralized Hypercube Routing Among Multiple Clusters in 5G Networks.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
Convolutional, Extra-Trees and Multi layer Perceptron.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2020
Deep Extra-Trees, une forêt aléatoire profonde.
Proceedings of the Extraction et Gestion des Connaissances, 2020

2019
Deep Cascade of Extra Trees.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Deep Extremely Randomized Trees.
Proceedings of the Neural Information Processing - 26th International Conference, 2019


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