Energy evaluation of Sparse Matrix-Vector Multiplication on GPU. - Akrem Benatia; Weixing Ji; Yizhuo Wang 001; Feng Shi 009 (IGSC, 2016)

Machine Learning Approach for the Predicting Performance of SpMV on GPU. - Akrem Benatia; Weixing Ji; Yizhuo Wang 001; Feng Shi 009 (ICPADS, 2016)

Sparse Matrix Format Selection with Multiclass SVM for SpMV on GPU. - Akrem Benatia; Weixing Ji; Yizhuo Wang 001; Feng Shi 009 (ICPP, 2016)

BestSF: A Sparse Meta-Format for Optimizing SpMV on GPU. - Akrem Benatia; Weixing Ji; Yizhuo Wang 001; Feng Shi 009 (ACM Trans. Archit. Code Optim., 2018)

How Would Image Down-Sampling and Compression Impact Object Detection in the Context of Self-driving Vehicles ? - Imene Bouderbal; Abdenour Amamra; Mohamed Akrem Benatia (CSA, 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 (CSA, 2020)

MMSparse: 2D partitioning of sparse matrix based on mathematical morphology. - Zhaonian Tan; Weixing Ji; Jianhua Gao; Yueyan Zhao; Akrem Benatia; Yizhuo Wang 001; Feng Shi 009 (Future Gener. Comput. Syst., 2020)

Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms. - Akrem Benatia; Weixing Ji; Yizhuo Wang 001; Feng Shi 009 (Int. J. High Perform. Comput. Appl., 2020)

AttR2U-Net: Deep Attention Based Approach for Melanoma Skin Cancer Image Segmentation. - Mohamed Akrem Benatia; Said Yacine Boulahia; Mustapha Amine Mahi (CSA, 2022)

Heterogenous Action Ensembling for Visual Recognition of Large-Scale Actions. - Mohamed Lamine Rouali; Abdenour Amamra; Said Yacine Boulahia; Mohamed Akram Benatia (CSA, 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)

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)

Advanced Trajectory Planning and 3D Waypoints Navigation of Unmanned Underwater Vehicles Based Fuzzy Logic Control with LOS Guidance Technique. - Fethi Demim; Hadjira Belaidi; Abdenebi Rouigueb; Ali Zakaria Messaoui; Kahina Louadj; Sofian Saghour; Mohamed Akram Benatia; Mohamed Chergui; Abdelkrim Nemra; Ahmed Allam; Elhaouari Kobzili (ICINCO (1), 2023)

Smooth Sliding Mode Control Based Technique of an Autonomous Underwater Vehicle Based Localization Using Obstacle Avoidance Strategy. - Fethi Demim; Abdenebi Rouigueb; Hadjira Belaidi; Ali Zakaria Messaoui; Khadir Lakhdar Bensseghieur; Ahmed Allam; Mohamed Akram Benatia; Abdelmadjid Nouri; Abdelkrim Nemra (ICINCO (1), 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 (ICINCO (2), 2023)

Exploiting Attackability for Effective Textual Adversarial Attacks. - Salim Khemis; Yacine Amara; Mohamed Akrem Benatia (ISPR (1), 2024)

Improving greedy adversarial attacks on text classification. - Salim Khemis; Yacine Amara; Mohamed Akrem Benatia (Int. J. Inf. Comput. Secur., 2024)

Efficient and dynamic layer-wise structured N:M pruning of deep neural networks. - Dehbia Ahmed Zaid; Badis Djamaa; Mohamed Akrem Benatia (Neurocomputing, 2025)

An optimized Multi Agent Reinforcement Learning solution for edge caching in the Internet of Vehicles. - Mohamed Amine Ghamri; Badis Djamaa; Mohamed Akrem Benatia; Redouane Bellahmer (Pervasive Mob. Comput., 2025)

Block pruning residual networks using Multi-Armed Bandits. - Mohamed Akrem Benatia; Yacine Amara; Said Yacine Boulahia; Abdelouahab Hocini (J. Exp. Theor. Artif. Intell., 2025)

Raising the numbers: multi-generation adversarial attack and frequency-based defense for heightened NLP security. - Salim Khemis; Yacine Amara; Mohamed Akrem Benatia; Ishak Messalti; Mohammed Elamin Ilyas Khanous; Bernard De Baets (Mach. Learn., 2025)

Reinforcement Learning based collaborative DNN inference for edge intelligence. - Mohamed Amine Ghamri; Badis Djamaa; Mohamed Akrem Benatia; Adil Imad Eddine Hosni (Future Gener. Comput. Syst., 2026)