Rahma Fourati

Orcid: 0000-0001-8783-6895

According to our database1, Rahma Fourati authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey.
Cogn. Comput., November, 2024

A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism.
Multim. Tools Appl., May, 2024

A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task.
Cogn. Comput., May, 2024

Bare-Bones particle Swarm optimization-based quantization for fast and energy efficient convolutional neural networks.
Expert Syst. J. Knowl. Eng., April, 2024

Temporal-spatial transformer based motor imagery classification for BCI using independent component analysis.
Biomed. Signal Process. Control., January, 2024

A change severity degree-based dynamic multi-objective optimization algorithm with adaptive response strategy.
Inf. Sci., 2024

A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs.
Neurocomputing, 2024

A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification.
Appl. Soft Comput., 2024

On the Effect of Quantization on Deep Neural Networks Performance.
Proceedings of the Advances in Computational Collective Intelligence, 2024

Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification.
Proceedings of the Advances in Computational Collective Intelligence, 2024

A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification.
Proceedings of the Advances in Computational Collective Intelligence, 2024

2023
A channel-wise attention-based representation learning method for epileptic seizure detection and type classification.
J. Ambient Intell. Humaniz. Comput., July, 2023

EEG channel selection-based binary particle swarm optimization with recurrent convolutional autoencoder for emotion recognition.
Biomed. Signal Process. Control., July, 2023

A novel approach of many-objective particle swarm optimization with cooperative agents based on an inverted generational distance indicator.
Inf. Sci., April, 2023

An Automatic Vision Transformer Pruning Method Based on Binary Particle Swarm Optimization.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

A Novel Method for Arabic Text Detection with Interactive Visualization.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Data Analysis of Electromyostimulation Training Effect on Muscles and Sports Performance.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 Chest X-Ray Image Recovery.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

2022
Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition.
IEEE Trans. Affect. Comput., 2022

2021

Psychological stimulation for anxious states detection based on EEG-related features.
J. Ambient Intell. Humaniz. Comput., 2021

2020
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Robust feature learning method for epileptic seizures prediction based on long-term EEG signals.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
DASPS: A Database for Anxious States based on a Psychological Stimulation.
CoRR, 2019

2017
Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015
Improved recurrent neural network architecture for SVM learning.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015


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