ZENBOUT Imene
Grade: Maitre assistant classe B
Email: imene.zenbout@univ-setif.dz
Département: Informatique
Bureau:
assistant professor in computer science and bioinformatics at University Ferhat Abbas Sétif 1. I earned my baccalaureate in 2011, followed by a licensed degree in computer science (2013–2014) and a master’s in software engineering (2014–2016). I completed my Ph.D. in bioinformatics in February 2020. My research focuses on bioinformatics, AI, deep learning, generative models, and NGS, especially in cancer prediction and drug discovery. 

    Journaux (3)

  • Leveraging ChatGPT for Enhancing Arabic NLP: Application for Semantic Role Labeling and Cross-Lingual Annotation Projection

    F Senator, A Lakhfif, I Zenbout, H Boutouta, C Mediani

    IEEEAccess, 13 (2025), pp 3707–3725.

  • Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction

    . Imene Zenbout, B Abdelkrim, S Meshoul, M Amrane.

    IEEEAccess, 11 (2023), pp 2674–2699.

  • A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery.

    A Abdelkrim, A Bouramoul, I Zenbout. “

    International Journal of Organizational and Collective Intelligence (IJOCI), 0 (2022), pp 2022

    • Conferences Internationales (6)

  • Enhancing IoT Security Through Deep Learning and Evolutionary Bio-Inspired Intrusion Detection in IoT Systems

    IE Bouramoul, S Zertal, M Derdour, I Zenbout

    6th International Conference on Pattern Analysis and Intelligent Systems (PAIS),, Algeria, (2024)

  • Clustering Educational Items from Response Data Using Penalized Pearson Coefficient and Deep Autoencoders

    H Khadidja, S Nassima, Z Imene

    2022, Algeria, (2022)

  • Machine Learning Methods in Drug Discovery: A Selective Review

    A Abdelkrim, A Bouramoul, I Zenbout.

    International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS), 2021, Algeria, (2021)

  • Stacked Sparse Autoencoder for Unsupervised Features Learning in Pancancer miRNA Cancer Classification.

    I Zenbout, A Bouramoul, S Meshoul

    ICTAS, Algeria, (2020)

  • Targeted Unsupervised Features Learning for Gene Expression Data Analysis to Predict Cancer Stage.

    I Zenbout, A Bouramoul, S Meshoul.

    Tenth International Conference on Computational Systems Biology and Bioinformatics, , France, (2019)

  • Advanced Machine Learning Models for Large Scale Gene Expression Analysis in Cancer Classification: Deep Learning Versus Classical Models.

    I Zenbout, S Meshoul

    Big Data, Cloud and Applications (BDCA), 2018., Morroco, (2018)