A Multi-objective Genetic Algorithm for Model Selection for Support Vector Machines. - Amal Bouraoui; Yassine Ben Ayed; Salma Jamoussi (PRICAI, 2014)

A New Method for the Construction of Evolving Embedded Representations of Words. - Amal Bouraoui; Salma Jamoussi; Abdelmajid Ben Hamadou (AICCSA, 2017)

A multi-objective genetic algorithm for simultaneous model and feature selection for support vector machines. - Amal Bouraoui; Salma Jamoussi; Yassine Ben Ayed (Artif. Intell. Rev., 2018)

Learning Meaningful Sentence Embedding Based on Recursive Auto-encoders. - Amal Bouraoui; Salma Jamoussi; Abdelmajid Ben Hamadou (EANN, 2019)

A Bi-recursive Auto-encoders for Learning Semantic Word Embedding. - Amal Bouraoui; Salma Jamoussi; Abdelmajid Ben Hamadou (WEBIST, 2021)

A comprehensive review of deep learning for natural language processing. - Amal Bouraoui; Salma Jamoussi; Abdelmajid Ben Hamadou (Int. J. Data Min. Model. Manag., 2022)

A feature-level attention-based deep neural network model for sentence embedding. - Amal Bouraoui; Salma Jamoussi; Abdelmajid Ben Hamadou (Int. J. Intell. Syst. Technol. Appl., 2022)