| 2026 | ACIIDS | From High-Accuracy to Resource-Efficient Cloud-Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction. | Selem Trabelsi, Salah Gontara, Khaled Ben Khalifa, Abdellatif Mtibaa |
| 2024 | AICCSA | A Novel Hybrid Grid Search and Tree Parzen Estimator for Deep Learning Hyperparameters Optimization. | Souhir Khessiba, Ahmed Ghazi Blaiech, Asma Ben Abdallah, Antoine Manzanera, Khaled Ben Khalifa, Mohamed Hdi Bedoui |
| 2022 | ICCCI | Hyperparameter Optimization of Deep Learning Models for EEG-Based Vigilance Detection. | Souhir Khessiba, Ahmed Ghazi Blaiech, Antoine Manzanera, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hdi Bedoui |
| 2021 | AIME | A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest Images. | Amir Bouden, Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hdi Bedoui |
| 2019 | IJCNN | A Multi-Application, Scalable and Adaptable Hardware SOM Architecture. | Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hdi Bedoui |
| 2010 | ISDA | Hedi: Multi-width fixed-point coding based on reprogrammable hardware implementation of a multi-layer perceptron neural network for alertness classification. | Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Bedoui Hedi |