Learning to Walk Using a Recurrent Neural Network with Time Delay. - Boudour Ammar; Naima Chouikhi; Adel M. Alimi; Farouk Chérif; Nasser Rezzoug; Philippe Gorce (ICANN, 2013)

A Hybrid Approach Based on Particle Swarm Optimization for Echo State Network Initialization. - Naima Chouikhi; Boudour Ammar; Nizar Rokbani; Adel M. Alimi; Ajith Abraham (SMC, 2015)

Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network. - Naima Chouikhi; Raja Fdhila; Boudour Ammar; Nizar Rokbani; Adel M. Alimi (IJCNN, 2016)

PSO-based analysis of Echo State Network parameters for time series forecasting. - Naima Chouikhi; Boudour Ammar; Nizar Rokbani; Adel M. Alimi (Appl. Soft Comput., 2017)

Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations. - Naima Chouikhi; Boudour Ammar; Adel M. Alimi (CoRR, 2018)

Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations. - Naima Chouikhi; Boudour Ammar; Adel M. Alimi (CoRR, 2018)

Adaptive Extreme Learning Machine for Recurrent Beta-basis Function Neural Network Training. - Naima Chouikhi; Adel M. Alimi (CoRR, 2018)

Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations. - Naima Chouikhi; Boudour Ammar; Amir Hussain 001; Adel M. Alimi (Neurocomputing, 2019)

BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework. - Newton Howard; Naima Chouikhi; Ahsan Adeel; Katelyn Dial; Adam Howard; Amir Hussain 001 (Frontiers Comput. Neurosci., 2020)

Novel single and multi-layer echo-state recurrent autoencoders for representation learning. - Naima Chouikhi; Boudour Ammar; Amir Hussain 001; Adel M. Alimi (Eng. Appl. Artif. Intell., 2022)