Akram Bennour

Orcid: 0000-0002-3185-8806

Affiliations:
  • Larbi Tebessi University, Algeria


According to our database1, Akram Bennour authored at least 11 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Park-Net: A Deep Model for Early Detection of Parkinson's Disease Through Automatic Analysis of Handwriting.
SN Comput. Sci., October, 2024

Correction to: A deep learning framework for historical manuscripts writer identification using data-driven features.
Multim. Tools Appl., October, 2024

A deep learning framework for historical manuscripts writer identification using data-driven features.
Multim. Tools Appl., October, 2024

HeritageScript: A cutting-edge approach to historical manuscript script classification with CNN and vision transformer architectures.
Intell. Decis. Technol., 2024

Contribution to historical manuscript dating: A hybrid approach employing hand-crafted features with vision transformers.
Digit. Signal Process., 2024

2023
Introduction to the special section "pattern recognition for Recent and Future Advances On intelligent systems" (SS:ISPR22).
Pattern Recognit. Lett., February, 2023

Combination of Local Features and Deep Learning to Historical Manuscripts Dating.
Proceedings of the Intelligent Systems and Pattern Recognition, 2023

2022
Introduction to the special section on intelligent systems and pattern recognition (SS: ISPR20).
Pattern Recognit. Lett., 2022

2018
Automatic handwriting analysis for writer identification and verification.
Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018

2015
Video Script Identification Using a Combination of Textural Features.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

2014
Automatic registration of high resolution satellite images using artificial immune system and mutual information.
Int. J. Comput. Vis. Robotics, 2014


  Loading...