Mohammed El Amine Bechar

Orcid: 0000-0002-9569-357X

According to our database1, Mohammed El Amine Bechar authored at least 13 papers between 2016 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
Hyperspectral imaging for orthopedic surgery: lightweight AI enables real-time bone and cartilage segmentation.
Medical Biol. Eng. Comput., May, 2026

2025
SPTPCA: Structure-Preserving Tensor Principal Component Analysis for Hyperspectral Dimensionality Reduction.
IEEE Signal Process. Lett., 2025

Scaling AI for Embryo Transition Detection: Benchmarking Spatio-Temporal Deep Models.
Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, 2025

2021
A new correlation-based approach for ensemble selection in random forests.
Int. J. Intell. Comput. Cybern., 2021

2020
An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation.
Pattern Anal. Appl., 2020

2019
Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors.
Open Comput. Sci., 2019

2018
Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease.
Multidimens. Syst. Signal Process., 2018

Instances selection algorithm by ensemble margin.
J. Exp. Theor. Artif. Intell., 2018

Semi-supervised Super-pixels classification for White Blood Cells segmentation.
Proceedings of the 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2018

Comparaison of Ensemble Cost Sensitive Algorithms: Application to Credit Scoring Prediction.
Proceedings of the 3rd International Conference on Advanced Aspects of Software Engineering, 2018

2017
Reinforced confidence in self-training for a semi-supervised medical data classification.
Int. J. Appl. Pattern Recognit., 2017

2016
Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classi cation Task.
Int. J. Interact. Multim. Artif. Intell., 2016

Application of pixel selection in pixel-based classification for automatic white blood cell segmentation.
Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2016


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