Mohamed Fakhfakh

According to our database, Mohamed Fakhfakh authored at least 8 papers between 2018 and 2024.

Collaborative distances:

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

2024

Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions.

Mohamed Fakhfakh, Lotfi Chaâri

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Fully Automatic Bayesian Method for Trainable Activation Function and Deep Neural Networks.

Mohamed Fakhfakh, Lotfi Chaâri

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Non-smooth Bayesian learning for artificial neural networks.

Mohamed Fakhfakh, Lotfi Chaâri, Bassem Bouaziz, Faïez Gargouri

J. Ambient Intell. Humaniz. Comput., October, 2023

A fully automatic Bayesian model for adaptive activation functions in artificial neural networks.

Mohamed Fakhfakh, Lotfi Chaâri

Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

2022

Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks.

Mohamed Fakhfakh, Bassem Bouaziz, Faïez Gargouri, Lotfi Chaâri

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks.

Mohamed Fakhfakh, Bassem Bouaziz, Lotfi Chaâri, Faïez Gargouri

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2020

Bayesian curved lane estimation for autonomous driving.

Mohamed Fakhfakh, Lotfi Chaâri, Nizar Fakhfakh

J. Ambient Intell. Humaniz. Comput., 2020

2018

Robust Lane Extraction Using Two-Dimension Declivity.

Mohamed Fakhfakh, Nizar Fakhfakh, Lotfi Chaâri

Proceedings of the Artificial Intelligence and Soft Computing, 2018