Profile Rahma Fourati

First Name
Rahma

Last Name
Fourati

Address
route soukra km 2.5 cité messadine résidence Donia 'E' appartement N°10

Zip code
3038

Biography
Rahma Fourati was born in Sfax, Tunisia. She received the M.S. degree in 2011 from the Faculty of Economic Sciences and Management of Sfax (FSEGS) and she graduated from the National Engineering School of Sfax (ENIS) with a degree in Computer Engineering. She received the Ph.D. degree in Computer Science Engineering at the ENIS in 2021 with the REsearch Group in Intelligent Machines (REGIM). Her research interests include Emotion recognition, Anxiety detection, Affective computing, EEG signals analysis, Recurrent Neural Networks, Deep generative models, Support Vector Machines, Simulink Modeling.

Research Interests
Neural networks, Generative models, Representation learning, Evolutionary optimization, EEG signals analysis, DNN compression
H-index: 13  Total citation: 574

📚 Scientific Publications

Title & Authors Conference/Revue Year Citations
Tackling Reverberation and Binaural Data on Audio-Visual Speech Enhancement through RecognAVSE
JR Manesco, L Passos, R Fourati, JP Papa, A Hussain
Proc. AVSEC 2025, 6-9, 2025 2025 0
Efficient and Sustainable Audio-Visual Speech Enhancement through Latency-Aware Pruned Model
R Fourati, J Tmamna, JR Manesco, LA Passos, JP Papa, A Hussain
Proc. AVSEC 2025, 10-13, 2025 2025 0
A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs
J Tmamna, R Fourati, EB Ayed, LA Passos, JP Papa, MB Ayed, A Hussain
Neurocomputing 608, 128378, 2024 2024 6
Pruning deep neural networks for green energy-efficient models: A survey
J Tmamna, EB Ayed, R Fourati, M Gogate, T Arslan, A Hussain, MB Ayed
Cognitive Computation 16 (6), 2931-2952, 2024 2024 32
A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification
J Tmamna, EB Ayed, R Fourati, A Hussain, MB Ayed
Applied Soft Computing 164, 111978, 2024 2024 22
A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification
A Hameed, R Fourati, B Ammar, J Sanchez-Medina, H Ltifi
International Conference on Computational Collective Intelligence, 393-405, 2024 2024 0
Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification
A Hameed, R Fourati, B Ammar, J Sanchez-Medina, H Ltifi
International Conference on Computational Collective Intelligence, 445-457, 2024 2024 1
On the Effect of Quantization on Deep Neural Networks Performance
J Tmamna, R Fourati, H Ltifi
International Conference on Computational Collective Intelligence, 144-156, 2024 2024 1
A change severity degree-based dynamic multi-objective optimization algorithm with adaptive response strategy
N Kouka, R Fourati, R Fdhila, A Hussain, AM Alimi
Information Sciences 677, 120794, 2024 2024 3
A mutual information-based many-objective optimization method for EEG channel selection in the epileptic seizure prediction task
N Kouka, R Fourati, A Baghdadi, P Siarry, M Adel
Cognitive Computation 16 (3), 1268-1286, 2024 2024 10
Bare‐Bones particle Swarm optimization‐based quantization for fast and energy efficient convolutional neural networks
J Tmamna, EB Ayed, R Fourati, A Hussain, MB Ayed
Expert Systems 41 (4), e13522, 2024 2024 4
RecognAVSE: An Audio-Visual Speech Enhancement Approach using Separable 3D convolutions and Deep Complex U-Net
JR Manesco, LA Passos, R Fourati, JP Papa, A Hussain
Proc. 3rd COG-MHEAR Workshop on Audio-Visual Speech Enhancement (AVSEC), 11-15, 2024 2024 3
AVSE-Pruner: Filter Pruning of Audio-Visual Speech Enhancement System using Multi-objective Binary Particle Swarm Optimization
R Fourati, J Tmamna, K Kouka, M Gogate, K Dashtipour, LA Passos, ...
Proc. 3rd COG-MHEAR Workshop on Audio-Visual Speech Enhancement (AVSEC), 24-29, 2024 2024 2
A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism
Z Fki, B Ammar, R Fourati, H Fendri, A Hussain, M Ben Ayed
Multimedia Tools and Applications 83, 54989–55009, 2024 2024 6
Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis
A Hameed, R Fourati, B Ammar, A Ksibi, AS Alluhaidan, MB Ayed, ...
Biomedical Signal Processing and Control 87, 105359, 2024 2024 38
ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 Chest X-Ray Image Recovery
N Tarhouni, R Fourati, M Charfeddine, CB Amar
International Conference on Computational Collective Intelligence, 753-765, 2023 2023 0
Data Analysis of Electromyostimulation Training Effect on Muscles and Sports Performance
S Kallel, R Fourati
2023 IEEE Symposium on Computers and Communications (ISCC), 884-888, 2023 2023 0
A novel method for arabic text detection with interactive visualization
I Ouali, R Fourati, MB Halima, A Wali
2023 IEEE Symposium on Computers and Communications (ISCC), 1046-1050, 2023 2023 4
An automatic vision transformer pruning method based on binary particle swarm optimization
J Tmamna, EB Ayed, R Fourati, MB Ayed
2023 IEEE Symposium on Computers and Communications (ISCC), 727-732, 2023 2023 3
A channel-wise attention-based representation learning method for epileptic seizure detection and type classification
A Baghdadi, R Fourati, Y Aribi, S Daoud, M Dammak, C Mhiri, ...
Journal of Ambient Intelligence and Humanized Computing 14 (7), 9403-9418, 2023 2023 39
EEG channel selection-based binary particle swarm optimization with recurrent convolutional autoencoder for emotion recognition
N Kouka, R Fourati, R Fdhila, P Siarry, AM Alimi
Biomedical Signal Processing and Control 84, 104783, 2023 2023 37
A novel approach of many-objective particle swarm optimization with cooperative agents based on an inverted generational distance indicator
N Kouka, F BenSaid, R Fdhila, R Fourati, A Hussain, AM Alimi
Information Sciences 623, 220-241, 2023 2023 38
A novel internet of things based on deep neural network framework using soft-attention convolutional neural networks for COVID-19 detection
Z Fki, B Ammar, R Fourati, H Fendri, E Daoued, Z Mnif, A Hussain, ...
2022 0
Unsupervised learning in reservoir computing for eeg-based emotion recognition
R Fourati, B Ammar, J Sanchez-Medina, AM Alimi
IEEE Transactions on Affective Computing, 2022 2022 72
Psychological stimulation for anxious states detection based on EEG-related features
A Baghdadi, Y Aribi, R Fourati, N Halouani, P Siarry, A Alimi
Journal of Ambient Intelligence and Humanized Computing 12 (8), 8519-8533, 2021 2021 47
EEG feature learning with intrinsic plasticity based deep echo state network
R Fourati, B Ammar, Y Jin, AM Alimi
2020 international joint conference on neural networks (IJCNN), 1-8, 2020 2020 17
Robust feature learning method for epileptic seizures prediction based on long-term EEG signals
A Baghdadi, R Fourati, Y Aribi, P Siarry, AM Alimi
2020 international joint conference on neural networks (IJCNN), 1-7, 2020 2020 19
Dasps: A database for anxious states based on a psychological stimulation
A Baghdadi, Y Aribi, R Fourati, N Halouani, P Siarry, AM Alimi
arXiv preprint arXiv:1901.02942, 2019 2019 38
Optimized echo state network with intrinsic plasticity for EEG-based emotion recognition
R Fourati, B Ammar, C Aouiti, J Sanchez-Medina, AM Alimi
International conference on neural information processing, 718-727, 2017 2017 44
Improved recurrent neural network architecture for svm learning
R Fourati, C Aouiti, AM Alimi
2015 15th International Conference on Intelligent Systems Design and�…, 2015 2015 4
A metric-based approach for anti-pattern detection in UML designs
R Fourati, N Bouassida, HB Abdallah
Computer and Information Science 2011, 17-33, 2011 2011 84
Hybridation de la r�gle intrins�que avec PSO dans un r�seau d’�tat d’�cho pour la reconnaissance d’anxi�t�
A Baghdadi, R Fourati, Y Aribi, P Siarry, AM Alimi
0 0