| 2026 | ACL | PUMA: Projected Universal Multilingual ASR for Low-Resource Settings. Application to Diverse African Languages. | Ilyes Oukid, Bilal Faye, Hanane Azzag, Mustapha Lebbah, Said Yacine Boulahia |
| 2026 | ESANN | Energy-Based Dropout with Patch-Level Regularization. | Tom Devynck, Bilal Faye, Djamel Bouchaffra, Nadjib Lazaar, Hanene Azzag, Mustapha Lebbah |
| 2025 | EMNLP | Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification. | Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanane Azzag |
| 2025 | ESANN | Performance monitoring and wear comprehension through Neural Network. | Thomas Binet, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 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 | ESANN | HDBSCAN for 3-rd order tensor. | Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah |
| 2024 | ESANN | Lightweight Cross-Modal Representation Learning. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra |
| 2024 | ESANN | From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics. | Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 2024 | ICIP | Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra |
| 2024 | IJCAI | AESim: A Data-Driven Aircraft Engine Simulator. | Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 2024 | IJCNN | UAN: Unsupervised Adaptive Normalization. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang |
| 2024 | IJCNN | One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. | Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 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 |
| 2023 | ICDM | Context Normalization Layer with Applications. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra |
| 2023 | PAKDD | Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. | Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jrme Lacaille |
| 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 | ESANN | Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. | tienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loc Giraldi, Anthony Coutant |
| 2021 | ICANN | A New Nearest Neighbor Median Shift Clustering for Binary Data. | Gal Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong |
| 2021 | ICMLA | Multi-Slice Clustering for 3-order Tensor. | Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah |
| 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 |
| 2020 | ICPR | An Invariance-guided Stability Criterion for Time Series Clustering Validation. | Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jrme Lacaille |
| 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 |
| 2019 | PAKDD | Algorithms for an Efficient Tensor Biclustering. | Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gal Beck |
| 2019 | PAKDD | Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. | Florent Forest, Mustapha Lebbah, Hanane Azzag, Jrme Lacaille |
| 2018 | IJCNN | Hierarchical Laplacian Score for unsupervised feature selection. | Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah |
| 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 |
| 2016 | IJCNN | GTM Mixture through time for sequential data. | Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Youns Bennani |
| 2016 | ILP | A new Model for Scalable θ-subsumption. | Hippolyte Lger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag-Khelif |
| 2016 | KES | CL-AntInc Algorithm for Clustering Binary Data Streams Using the Ants Behavior. | Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa |
| 2015 | CEC | How to use ants for data stream clustering. | Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa |
| 2015 | ICONIP | Clustering of Binary Data Sets Using Artificial Ants Algorithm. | Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa |
| 2015 | IJCNN | Growing Hierarchical Trees for Data Stream clustering and visualization. | Nhat-Quang Doan, Mohammed Ghesmoune, Hanane 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 |
| 2014 | ICONIP | Feature Group Weighting and Topological Biclustering. | Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag, Amine Chaibi |
| 2013 | IJCNN | A new bi-clustering approach using topological maps. | Amine Chaibi, Mustapha Lebbah, Hanane Azzag |
| 2013 | IJCNN | Self-organizing trees for visualizing protein dataset. | Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah, Guillaume Santini |
| 2013 | IV | A New Visualization of Group-Outliers in Unsupervised Learning. | Amine Chaibi, Mustapha Lebbah, Hanane Azzag |
| 2012 | ESANN | Automatic Group-Outlier Detection. | Amine Chaibi, Hanane Azzag, Mustapha Lebbah |
| 2012 | ICANN | Self-Organizing Map and Tree Topology for Graph Summarization. | Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah |
| 2012 | ICONIP | Novelty Detection Using a New Group Outlier Factor. | Amine Chaibi, Mustapha Lebbah, Hanane Azzag |
| 2012 | IJCNN | Growing Self-organizing Trees for knowledge discovery from data. | Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah |
| 2012 | IV | Graph Decomposition Using Self-organizing Trees. | Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah |
| 2011 | ICANN | SOS-HMM: Self-Organizing Structure of Hidden Markov Model. | Rakia Jaziri, Mustapha Lebbah, Youns Bennani, Jean-Hugues Chenot |
| 2011 | IJCNN | Probabilistic Self-Organizing Maps for multivariate sequences. | Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Youns Bennani |
| 2010 | ICMLA | Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering. | Hanene Azzag, Mustapha Lebbah, Aymen Arfaoui |
| 2010 | ICONIP | Topological Hierarchical Tree Using Artificial Ants. | Mustapha Lebbah, Hanane Azzag |
| 2010 | IJCNN | Topographic under-sampling for unbalanced distributions. | Fatma Hamdi, Mustapha Lebbah, Youns Bennani |
| 2009 | IJCNN | From variable weighting to cluster characterization in topographic unsupervised learning. | Nistor Grozavu, Youns Bennani, Mustapha Lebbah |
| 2008 | ESANN | Clustering of Self-Organizing Map. | Hanane Azzag, Mustapha Lebbah |
| 2008 | ICMLA | Relational Analysis for Consensus Clustering from Multiple Partitions. | Mustapha Lebbah, Youns Bennani, Hamid Benhadda |
| 2008 | ICMLA | Probabilistic Mixed Topological Map for Categorical and Continuous Data. | Nicoleta Rogovschi, Mustapha Lebbah, Youns Bennani |
| 2007 | IJCNN | BeSOM : Bernoulli on Self-Organizing Map. | Mustapha Lebbah, Nicoleta Rogovschi, Youns Bennani |
| 2005 | ESANN | Mixed Topological Map. | Mustapha Lebbah, Aymeric Chazottes, Fouad Badran, Sylvie Thiria |
| 2004 | ESANN | Visualization and classification with categorical topological map. | Mustapha Lebbah, Fouad Badran, Sylvie Thiria |
| 2002 | ICANN | Categorical Topological Map. | Mustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria |
| 2000 | ESANN | Topological map for binary data. | Mustapha Lebbah, Fouad Badran, Sylvie Thiria |