FPGA-Targeted Neural Architecture for Embedded Alertness Detection. - Bernard Girau; Khaled Ben Khalifa (Artificial Intelligence and Applications, 2006)

Supervised neuronal approaches for EEG signal classification: Experimental studies. - Frédéric Alexandre; Nizar Kerkeni; Khaled Ben Khalifa; Mohamed Bedoui Hedi; Laurent Bougrain; Mohamed Dogui (Artificial Intelligence and Soft Computing, 2006)

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 (ISDA, 2010)

Implementation of a novel LVQ neural network architecture on FPGA. - Najoua Chalbi; Khaled Ben Khalifa; Mohamed Boubaker; Mohamed Bedoui Hedi (Int. J. Artif. Intell. Soft Comput., 2010)

Implementation of an LVQ neural network with a variable size: algorithmic specification, architectural exploration and optimized implementation on FPGA devices. - Mohamed Boubaker; Mohamed Akil; Khaled Ben Khalifa; Thierry Grandpierre; Mohamed Bedoui Hedi (Neural Comput. Appl., 2010)

Integration of Optimization Approach Based on Multiple Wordlength Operation Grouping in the AAA Methodology for Real-Time Systems: LVQ Implementation. - Ahmed Ghazi Blaiech; Khaled Ben Khalifa; Mohamed Boubaker; Mohamed Akil; Mohamed Hedi Bedoui (Int. J. Embed. Real Time Commun. Syst., 2014)

A hardware configurable self-organizing map for real-time color quantization. - Mehdi Abadi; Slavisa Jovanovic; Khaled Ben Khalifa; Serge Weber; Mohamed Hedi Bedoui (ICECS, 2016)

A Scalable Flexible SOM NoC-Based Hardware Architecture. - Mehdi Abadi; Slavisa Jovanovic; Khaled Ben Khalifa; Serge Weber; Mohamed Hédi Bedoui (WSOM, 2016)

A Systolic Hardware Architecture of Self-Organizing Map. - Khaled Ben Khalifa; Mohamed Hedi Bedoui (IPAS, 2018)

A scalable and adaptable hardware NoC-based self organizing map. - Mehdi Abadi; Slavisa Jovanovic; Khaled Ben Khalifa; Serge Weber; Mohamed Hédi Bedoui (Microprocess. Microsystems, 2018)

LVQ neural network optimized implementation on FPGA devices with multiple-wordlength operations for real-time systems. - Ahmed Ghazi Blaiech; Khaled Ben Khalifa; Mohamed Boubaker; Mohamed Hedi Bedoui (Neural Comput. Appl., 2018)

A Multi-Application, Scalable and Adaptable Hardware SOM Architecture. - Mehdi Abadi; Slavisa Jovanovic; Khaled Ben Khalifa; Serge Weber; Mohamed Hédi Bedoui (IJCNN, 2019)

A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network. - Khaled Ben Khalifa; Ahmed Ghazi Blaiech; Mohamed Hédi Bedoui (Comput. Intell. Neurosci., 2019)

A Massively Parallel Implementation of a Modular Self-Organizing Map on FPGAs. - Khaled Ben Khalifa; Mohamed Hédi Bedoui (J. Circuits Syst. Comput., 2019)

A Survey and Taxonomy of FPGA-based Deep Learning Accelerators. - Ahmed Ghazi Blaiech; Khaled Ben Khalifa; Carlos Valderrama 001; Marcelo A. C. Fernandes; Mohamed Hedi Bedoui (J. Syst. Archit., 2019)

Scalable, dynamic and growing hardware self-organizing architecture for real-time vector quantization. - Slavisa Jovanovic; Hassan Rabah; Serge Weber; Khaled Ben Khalifa; Mohamed Hédi Bedoui (ICECS, 2020)

New Hardware Architecture for Self-Organizing Map Used for Color Vector Quantization. - Khaled Ben Khalifa; Ahmed Ghazi Blaiech; Mehdi Abadi; Mohamed Hedi Bedoui (J. Circuits Syst. Comput., 2020)

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 Hédi Bedoui (AIME, 2021)

Innovative deep learning models for EEG-based vigilance detection. - Souhir Khessiba; Ahmed Ghazi Blaiech; Khaled Ben Khalifa; Asma Ben Abdallah; Mohamed Hédi Bedoui (Neural Comput. Appl., 2021)

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 Hédi Bedoui (ICCCI (CCIS Volume), 2022)

Correction to: Innovative deep learning models for EEG-based vigilance detection. - Souhir Khessiba; Ahmed Ghazi Blaiech; Khaled Ben Khalifa; Asma Ben Abdallah; Mohamed Hédi Bedoui (Neural Comput. Appl., 2022)

Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches. - Afef Abidi; Khaled Ben Khalifa; Ridha Ben Cheikh; Carlos Valderrama Sakuyama; Mohamed Hedi Bedoui (Neural Process. Lett., 2022)

Discrete Wavelet Transform Coefficients for Drowsiness Detection from EEG Signals. - Aymen Zayed; Khaled Ben Khalifa; Nidhameddine Belhadj; Mohamed Hedi Bedoui; Carlos Alberto Valderrama Sakuyama (DTTIS, 2023)

CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features. - Ines Assali; Ahmed Ghazi Blaiech; Asma Ben Abdallah; Khaled Ben Khalifa; Marcel Carrère; Mohamed Hédi Bedoui (Biomed. Signal Process. Control., 2023)

A Parallel Reconfigurable Architecture for Scalable LVQ Neural Networks. - Marwa Gam; Mohamed Boubaker; Khaled Ben Khalifa; Mohamed Hedi Bedoui (Neural Process. Lett., 2023)

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 Hédi Bedoui (AICCSA, 2024)

Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes. - Aymen Zayed; Nidhameddine Belhadj; Khaled Ben Khalifa; Mohamed Hedi Bedoui; Carlos Valderrama 001 (Sensors, 2024)