Akrem Benatia

According to our database, Akrem Benatia authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Improving the License Plate Character Segmentation Using Naïve Bayesian Network.

Abdenebi Rouigueb, Fethi Demim, Hadjira Belaidi, Ali Zakaria Messaoui, Mohamed Akrem Benatia, Badis Djamaa

Proceedings of the 20th International Conference on Informatics in Control, 2023

2022

Towards SSD accelerating for embedded environments: a compressive sensing based approach.

Imene Bouderbal, Abdenour Amamra, M. El-Arbi Djebbar, Mohamed Akrem Benatia

J. Real Time Image Process., 2022

Att2ResNet: A deep attention-based approach for melanoma skin cancer classification.

Said Yacine Boulahia, Mohamed Akrem Benatia, Abderrahmane Bouzar

Int. J. Imaging Syst. Technol., 2022

AttR2U-Net: Deep Attention Based Approach for Melanoma Skin Cancer Image Segmentation.

Mohamed Akrem Benatia, Said Yacine Boulahia, Mustapha Amine Mahi

Proceedings of the Advances in Computing Systems and Applications, 2022

2020

Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms.

Akrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi

Int. J. High Perform. Comput. Appl., 2020

MMSparse: 2D partitioning of sparse matrix based on mathematical morphology.

Zhaonian Tan, Weixing Ji, Jianhua Gao, Yueyan Zhao, Akrem Benatia, Yizhuo Wang, Feng Shi

Future Gener. Comput. Syst., 2020

Extreme Subject Targeting for Deep Learning Based Action Recognition.

Said Yacine Boulahia, Abdenour Amamra, Said Daikh, Mohamed Ridha Madi, Mohamed Akrem Benatia, Yacine Amara

Proceedings of the Advances in Computing Systems and Applications, 2020

How Would Image Down-Sampling and Compression Impact Object Detection in the Context of Self-driving Vehicles ?

Imene Bouderbal, Abdenour Amamra, Mohamed Akrem Benatia

Proceedings of the Advances in Computing Systems and Applications, 2020

2018

BestSF: A Sparse Meta-Format for Optimizing SpMV on GPU.

Akrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi

ACM Trans. Archit. Code Optim., 2018

2016

Sparse Matrix Format Selection with Multiclass SVM for SpMV on GPU.

Akrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi

Proceedings of the 45th International Conference on Parallel Processing, 2016

Machine Learning Approach for the Predicting Performance of SpMV on GPU.

Akrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

Energy evaluation of Sparse Matrix-Vector Multiplication on GPU.

Akrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi

Proceedings of the Seventh International Green and Sustainable Computing Conference, 2016