Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul; Mounira Amrane Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction. IEEE Access 11(11): 2674-2699 (2023)
	Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout; Said Brahimi Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors. 2023 Int. Conf. on Networking and Advanced Systems (ICNAS): 1-7 (2023)
	Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout; Said Brahimi Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors. 2023 Int. Conf. on Networking and Advanced Systems (ICNAS): 1-7 (2023)

Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul Prediction of Cancer Clinical Endpoints Using Deep Learning and RPPA Data. 2nd Int. Conf. on Artificial Intelligence and Its Applications (AIAP 2021): 65-74 (2022)

Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout Machine Learning Methods In Drug Discovery: A Selective Review. Int. Conf. on Theoretical and Applicative Aspects of Computer Science (ICTAACS): 1-8 (2021)

	Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul Targeted unsupervised features learning for gene expression data analysis to predict cancer stage. 10th Int. Conf. on Computational Systems-Biology and Bioinformatics (CSBio'19): 1-7 (2019)
	Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul Stacked Sparse autoencoder for unsupervised features learning in PanCancer miRNA cancer classification. Conf. on Innovative Trends in Computer Science (CITCS'2019): 14-19 (2019)