12 citations · 13 across the 2 of their papers we have counts for
5 papers
Towards automated optimisation of residual convolutional neural networks for electrocardiogram classification
Zeineb Fki, Boudour Ammar, Mounir Ben Ayed
The interpretation of the electrocardiogram (ECG) gives clinical information and helps in assessing heart function. There are distinct ECG patterns associated with a specific class…
Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition
Rahma Fourati, Boudour Ammar, Javier Sanchez-Medina +1
In real-world applications such as emotion recognition from recorded brain activity, data are captured from electrodes over time. These signals constitute a multidimensional time s…
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
Echo State Network (ESN) presents a distinguished kind of recurrent neural networks. It is built upon a sparse, random and large hidden infrastructure called reservoir. ESNs have s…
Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations
Naima Chouikhi, Boudour Ammar, Adel M. Alimi
It is a widely accepted fact that data representations intervene noticeably in machine learning tools. The more they are well defined the better the performance results are. Featur…
Toward Intelligent Biped-Humanoids Gaits Generation
Nizar Rokbani, Boudour Ammar Cherif, Adel M. Alimi
In this chapter we will highlight our experimental studies on natural human walking analysis and introduce a biologically inspired design for simple bipedal locomotion system of hu…