Boudour Ammar
Orcid: 0000-0002-4934-1573
According to our database1,
Boudour Ammar
authored at least 36 papers
between 2010 and 2024.
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Bibliography
2024
A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism.
Multim. Tools Appl., May, 2024
Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification.
Cogn. Comput., May, 2024
Temporal-spatial transformer based motor imagery classification for BCI using independent component analysis.
Biomed. Signal Process. Control., January, 2024
Unveiling machine learning strategies and considerations in intrusion detection systems: a comprehensive survey.
Frontiers Comput. Sci., 2024
Intrusion Detection Schemes Based on Synthetic Minority Oversampling Technique and Machine Learning Models.
Proceedings of the 27th IEEE International Symposium on Real-Time Distributed Computing, 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
Proceedings of the Advances in Computational Collective Intelligence, 2024
2022
IEEE Trans. Affect. Comput., 2022
Novel single and multi-layer echo-state recurrent autoencoders for representation learning.
Eng. Appl. Artif. Intell., 2022
2021
Optimization of Residual Convolutional Neural Network for Electrocardiogram Classification.
CoRR, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations.
Neurocomputing, 2019
2018
Neural Process. Lett., 2018
Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations.
CoRR, 2018
Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations.
CoRR, 2018
Machine learning with Internet of Things data for risk prediction: Application in ESRD.
Proceedings of the 12th International Conference on Research Challenges in Information Science, 2018
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018
2017
Stability and Exponential Synchronization of High-Order Hopfield Neural Networks with Mixed Delays.
Cybern. Syst., 2017
Appl. Soft Comput., 2017
Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
A Hybrid Approach Based on Particle Swarm Optimization for Echo State Network Initialization.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Exponential synchronization of high-order recurrent neural networks with mixed delays.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015
Regimdroid: Framework for customize Android platform to act as a brain for telepresence robot.
Proceedings of the 14th IEEE/ACIS International Conference on Computer and Information Science, 2015
2014
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014
On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Proceedings of the Working Notes for CLEF 2013 Conference , 2013
2012
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., 2012
Proceedings of the International Conference on Communications and Information Technology, 2012
2010
Proceedings of the IEEE International Conference on Systems, 2010