Advanced Machine Learning Models for Large Scale Gene Expression Analysis in Cancer Classification: Deep Learning Versus Classical Models. - Imene Zenbout; Souham Meshoul (BDCA, 2018)

Stacked Sparse Autoencoder For Unsupervised Features Learning in PanCancer miRNA Cancer Classification. - Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul (CITSC, 2019)

A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery. - Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout (Int. J. Organ. Collect. Intell., 2022)

Towards Deep Supervised Features Learning: Item-to-Knowledge Mapping in Educational Data Using Convolutional Neural Networks. - Khadidja Harbouche; Chabane Khentout; Imene Zenbout; Nassima Smaani; Kawthar Sinacer (PAIS, 2023)

Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction. - Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul; Mounira Amrane (IEEE Access, 2023)

Deep learning in managing SARS-CoV-2 pandemic, variant prediction and driver mutation identification: Case study in Setif, Algeria. - Madjda Akacha; Abdelhalim Khenchouche; Imene Zenbout; Mounira Amrane (ICT-DM, 2024)

Enhancing IoT Security Through Deep learning and Evolutionary Bio-Inspired Intrusion Detection in IoT systems. - Imed Eddine Bouramoul; Soumia Zertal; Makhlouf Derdour; Imene Zenbout (PAIS, 2024)

Leveraging ChatGPT for Enhancing Arabic NLP: Application for Semantic Role Labeling and Cross-Lingual Annotation Projection. - Ferial Senator; Abdelaziz Lakhfif; Imene Zenbout; Hanane Boutouta; Chahrazed Mediani (IEEE Access, 2025)