A data-clustering approach based on artificial ant colonies with control of emergence. - Billel Kenidra; Souham Meshoul (SoCPaR, 2014)

A data-clustering approach based on artificial ant colonies with control of emergence combined with K-Means approach. - Billel Kenidra; Mohamed Benmohammed (IPAC, 2015)

A Partitional Approach for Genomic-Data Clustering Combined with K-Means Algorithm. - Billel Kenidra; Mohamed Benmohammed; Abdesselem Beghriche; Zakaria Benmounah (CSE/EUC/DCABES, 2016)

An Ultra-Fast Method for Clustering of Big Genomic Data. - Billel Kenidra; Mohamed Benmohammed (Int. J. Appl. Metaheuristic Comput., 2020)

An Efficient PSO-Based Algorithm for Finding Maximal Exact Match in Large DNA Sequences. - Mohamed Skander Daas; Billel Kenidra; Hamza Bouanaka; Salim Chikhi (Int. J. Comput. Intell. Appl., 2023)

A Fast and Accurate High-Dimensional Clustering for Identifying Dysregulated Gene-Function. - Billel Kenidra; Mohamed Benmohammed (ISPR (1), 2024)