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2020 – today
- 2024
[j11]Adel Hameed
, Rahma Fourati, Boudour Ammar, Amel Ksibi, Ala Saleh D. Alluhaidan, Mounir Ben Ayed, Hussain Kareem Khleaf:
Temporal-spatial transformer based motor imagery classification for BCI using independent component analysis. Biomed. Signal Process. Control. 87(Part A): 105359 (2024)- [j10]Zeineb Fki, Boudour Ammar, Mounir Ben Ayed:
Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification. Cogn. Comput. 16(3): 1334-1344 (2024) - [j9]Ali Hussein Ali, Maha Charfeddine, Boudour Ammar, Bassem Ben Hamed, Faisal Albalwy, Abdulrahman Alqarafi, Amir Hussain:
Unveiling machine learning strategies and considerations in intrusion detection systems: a comprehensive survey. Frontiers Comput. Sci. 6 (2024) - [j8]Zeineb Fki, Boudour Ammar, Rahma Fourati, Hela Fendri, Amir Hussain, Mounir Ben Ayed:
A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism. Multim. Tools Appl. 83(18): 54989-55009 (2024) - [c20]Ali Hussein Ali, Boudour Ammar, Maha Charfeddine, Bassem Ben Hamed:
Enhanced Intrusion Detection Based Hybrid Meta-heuristic Feature Selection. ICCCI (CCIS Volume 2) 2024: 3-15 - [c19]Adel Hameed, Rahma Fourati, Boudour Ammar, Javier J. Sánchez Medina, Hela Ltifi:
A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification. ICCCI (CCIS Volume 2) 2024: 393-405 - [c18]Adel Hameed, Rahma Fourati, Boudour Ammar, Javier Sanchez-Medina, Hela Ltifi:
Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification. ICCCI (CCIS Volume 2) 2024: 445-457 - [c17]Ali Hussein Ali, Maha Charfeddine, Boudour Ammar, Bassem Ben Hamed:
Intrusion Detection Schemes Based on Synthetic Minority Oversampling Technique and Machine Learning Models. ISORC 2024: 1-8 - 2022
- [j7]Naima Chouikhi, Boudour Ammar, Amir Hussain, Adel M. Alimi:
Novel single and multi-layer echo-state recurrent autoencoders for representation learning. Eng. Appl. Artif. Intell. 114: 105051 (2022) - [j6]Rahma Fourati, Boudour Ammar, Javier J. Sánchez Medina, Adel M. Alimi:
Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition. IEEE Trans. Affect. Comput. 13(2): 972-984 (2022) - [d1]Zeineb Fki, Boudour Ammar, Hela Fendri, Emna Daoued, Zeineb Mnif, Mounir Ben Ayed:
COVID-19-CHU-Sfax. IEEE DataPort, 2022
- 2021
- [i5]Zeineb Fki, Boudour Ammar, Mounir Ben Ayed:
Optimization of Residual Convolutional Neural Network for Electrocardiogram Classification. CoRR abs/2112.06024 (2021) - 2020
- [c16]Rahma Fourati, Boudour Ammar, Yaochu Jin, Adel M. Alimi:
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j5]Naima Chouikhi, Boudour Ammar, Amir Hussain, Adel M. Alimi:
Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations. Neurocomputing 341: 195-211 (2019) - 2018
- [j4]Boudour Ammar, Hajer Brahmi, Farouk Chérif:
On the Weighted Pseudo-Almost Periodic Solution for BAM Networks with Delays. Neural Process. Lett. 48(2): 849-862 (2018) - [c15]Zeineb Fki, Boudour Ammar, Mounir Ben Ayed:
Risk Prediction in Smart Home Care. AINA 2018: 866-873 - [c14]Zeineb Fki, Boudour Ammar, Mounir Ben Ayed:
Machine learning with Internet of Things data for risk prediction: Application in ESRD. RCIS 2018: 1-6 - [i4]Naima Chouikhi, Boudour Ammar, Adel M. Alimi:
Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations. CoRR abs/1804.08996 (2018) - [i3]Naima Chouikhi, Boudour Ammar, Adel M. Alimi:
Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations. CoRR abs/1806.01016 (2018) - [i2]Rahma Fourati, Boudour Ammar, Javier J. Sánchez Medina, Adel M. Alimi:
Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition. CoRR abs/1811.07516 (2018) - 2017
- [j3]Naima Chouikhi, Boudour Ammar, Nizar Rokbani, Adel M. Alimi:
PSO-based analysis of Echo State Network parameters for time series forecasting. Appl. Soft Comput. 55: 211-225 (2017) - [j2]Hajer Brahmi, Boudour Ammar, Farouk Chérif, Adel M. Alimi:
Stability and Exponential Synchronization of High-Order Hopfield Neural Networks with Mixed Delays. Cybern. Syst. 48(1): 49-69 (2017) - [c13]Rahma Fourati, Boudour Ammar, Chaouki Aouiti, Javier J. Sánchez Medina, Adel M. Alimi:
Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition. ICONIP (2) 2017: 718-727 - 2016
- [c12]Naima Chouikhi, Raja Fdhila, Boudour Ammar, Nizar Rokbani, Adel M. Alimi:
Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network. IJCNN 2016: 440-447 - [c11]Hajer Brahmi, Boudour Ammar, Adel M. Alimi, Farouk Chérif:
Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays. IJCNN 2016: 464-470 - 2015
- [c10]Nouha Ghribi, Boudour Ammar, Adel M. Alimi:
Regimdroid: Framework for customize Android platform to act as a brain for telepresence robot. ICIS 2015: 113-118 - [c9]Hajer Brahmi, Boudour Ammar, Farouk Chérif, Adel M. Alimi:
Exponential synchronization of high-order recurrent neural networks with mixed delays. ISDA 2015: 335-340 - [c8]Naima Chouikhi, Boudour Ammar, Nizar Rokbani, Adel M. Alimi, Ajith Abraham:
A Hybrid Approach Based on Particle Swarm Optimization for Echo State Network Initialization. SMC 2015: 2896-2901 - 2014
- [c7]Hajer Brahmi, Boudour Ammar, Farouk Chérif, Adel M. Alimi:
On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay. IJCNN 2014: 2063-2070 - [c6]Nouha Ghribi, Boudour Ammar, Adel M. Alimi:
Architectural proposal for a mobile telepresence robot, REGIMTEL. SoCPaR 2014: 359-364 - 2013
- [c5]Amel Ksibi, Boudour Ammar, Anis Ben Ammar, Chokri Ben Amar, Adel M. Alimi:
REGIMRobvid: Objects and Scenes Detection for Robot Vision 2013. CLEF (Working Notes) 2013 - [c4]Farouk Chérif, Hajer Brahmi, Boudour Ammar, Adel M. Alimi:
Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays. ICANN 2013: 74-81 - [c3]Boudour Ammar, Naima Chouikhi, Adel M. Alimi, Farouk Chérif, Nasser Rezzoug, Philippe Gorce:
Learning to Walk Using a Recurrent Neural Network with Time Delay. ICANN 2013: 511-518 - 2012
- [j1]Boudour Ammar, Farouk Chérif, Adel M. Alimi:
Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays. IEEE Trans. Neural Networks Learn. Syst. 23(1): 109-118 (2012) - [c2]Sonda Bousnina, Boudour Ammar, Nesrine Baklouti, Adel M. Alimi:
Learning system for mobile robot detection and tracking. ICCIT 2012: 384-389 - [i1]Nizar Rokbani, Boudour Ammar Cherif, Adel M. Alimi:
Toward Intelligent Biped-Humanoids Gaits Generation. CoRR abs/1212.1800 (2012) - 2010
- [c1]Nizar Rokbani, Elhoucine Benboussada, Boudour Ammar, Adel M. Alimi:
Biped robot control using particle swarm optimization. SMC 2010: 506-512
Coauthor Index
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