| 2025 | AICCSA | Balancing Explainability and Accuracy in Credit Risk Classification Using Neuro-Fuzzy Model. | Sirine Ben Ghozzi, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2024 | INISTA | Explainable Ensemble Machine Learning Method for Credit Risk Classification. | Sirine Ben Ghozzi, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2022 | IIWAS | Detection of Hot Topics Using Multi-view Text Clustering. | Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2021 | DaWaK | Spark Based Text Clustering Method Using Hashing. | Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2020 | DaWaK | Self-Organizing Map for Multi-view Text Clustering. | Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2020 | DaWaK | Parallel K-Prototypes Clustering with High Efficiency and Accuracy. | Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2019 | ICCCI | Ensemble Method for Multi-view Text Clustering. | Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2018 | AICCSA | A Novel Tweets Clustering Method using Word Embeddings. | Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2018 | DaWaK | Scalable Random Sampling K-Prototypes Using Spark. | Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2018 | MEDI | A New Way of Handling Missing Data in Multi-source Classification Based on Adaptive Imputation. | Ikram Abdelkhalek, Afef Ben Brahim, Nadia Essoussi |
| 2017 | AICCSA | Learning Probabilistic Relational Models with (Partially Structured) Graph Databases. | Marwa El Abri, Philippe Leray, Nadia Essoussi |
| 2017 | AICCSA | KP-S: A Spark-Based Design of the K-Prototypes Clustering for Big Data. | Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2016 | HIS | A Hybrid Embedded-Filter Method for Improving Feature Selection Stability of Random Forests. | Wassila Jerbi, Afef Ben Brahim, Nadia Essoussi |
| 2016 | ICCCI | A Parallel Implementation of Relief Algorithm Using Mapreduce Paradigm. | Jamila Yazidi, Waad Bouaguel, Nadia Essoussi |
| 2016 | RCIS | Overlap regulation for additive overlapping clustering methods. | Mohamed Ismail Maiza, Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2015 | DSAA | MapReduce-based k-prototypes clustering method for big data. | Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2015 | ICCCI | Parallel K-prototypes for Clustering Big Data. | Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2014 | ICPRAM | Overlapping Clustering with Outliers Detection. | Amira Rezgui, Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2013 | IC3K | On the Extension of k-Means for Overlapping Clustering - Average or Sum of Clusters' Representatives?. | Chiheb-Eddine Ben N'cir, Nadia Essoussi |
| 2013 | MODELSWARD | A Model-driven Process for Data Transformation of Heterogeneous Data. | Hafa Nakouri, Nadia Essoussi |
| 2010 | IC3K | Kernel Overlapping K-Means for Clustering in Feature Space. | Chiheb-Eddine Ben N'cir, Nadia Essoussi, Patrice Bertrand |