| 2026 | ESANN | Energy-Based Dropout with Patch-Level Regularization. | Tom Devynck, Bilal Faye, Djamel Bouchaffra, Nadjib Lazaar, Hanene Azzag, Mustapha Lebbah |
| 2024 | COLING | Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods. | Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muoz |
| 2024 | PAKDD | Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. | Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah |
| 2024 | SDM | Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. | Reda Khoufache, Mustapha Lebbah, Hanene Azzag, tienne Goffinet, Djamel Bouchaffra |
| 2023 | ESANN | TabSRA: An Attention based Self-Explainable Model for Tabular Learning. | Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre |
| 2023 | GECCO | Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. | Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah |
| 2022 | ICDM | Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. | Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah |
| 2021 | CEC | A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. | Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah |
| 2021 | ICANN | A New Nearest Neighbor Median Shift Clustering for Binary Data. | Gal Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong |
| 2021 | ICMLA | Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. | Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag |
| 2020 | GECCO | Multi-objective data stream clustering. | Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes |
| 2019 | ESANN | Deep Embedded SOM: joint representation learning and self-organization. | Florent Forest, Mustapha Lebbah, Hanene Azzag, Jrme Lacaille |
| 2019 | ICANN | Soft Subspace Growing Neural Gas for Data Stream Clustering. | Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune |
| 2017 | ICTAI | An Instance Based Model for Scalable Theta -Subsumption. | Hippolyte Lger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag |
| 2016 | IJCNN | Distributed mean shift clustering with approximate nearest neighbours. | Gal Beck, Tarn Duong, Hanene Azzag, Mustapha Lebbah |
| 2015 | PAKDD | Clustering Over Data Streams Based on Growing Neural Gas. | Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag |
| 2014 | ICONIP | G-Stream: Growing Neural Gas over Data Stream. | Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah |
| 2010 | ICMLA | Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering. | Hanene Azzag, Mustapha Lebbah, Aymen Arfaoui |
| 2006 | WWW | Generating maps of web pages using cellular automata. | Hanene Azzag, David Ratsimba, David Da Costa, Gilles Venturini, Christiane Guinot |
| 2005 | WWW | Automatic generation of web portals using artificial ants. | Hanene Azzag, Gilles Venturini, Christiane Guinot |
| 2004 | ECAI | AntTree: A Web Document Clustering Using Artificial Ants. | Hanene Azzag, Christiane Guinot, Gilles Venturini |
| 2004 | ICTAI | On Data Clustering with a Flock of Artificial Agents. | Fabien Picarougne, Hanene Azzag, Gilles Venturini, Christiane Guinot |
| 2003 | CEC | AntTree: a new model for clustering with artificial ants. | Hanene Azzag, Nicolas Monmarch, Mohamed Slimane, Gilles Venturini |