Topological map for binary data. - Mustapha Lebbah; Fouad Badran; Sylvie Thiria (ESANN, 2000)

Categorical Topological Map. - Mustapha Lebbah; Christian Chabanon; Fouad Badran; Sylvie Thiria (ICANN, 2002)

Carte topologique pour données qualitatives: application à la reconnaissance automatique de la densité du trafic routier. - Mustapha Lebbah (2003)

Visualization and classification with categorical topological map. - Mustapha Lebbah; Fouad Badran; Sylvie Thiria (ESANN, 2004)

Mixed Topological Map. - Mustapha Lebbah; Aymeric Chazottes; Fouad Badran; Sylvie Thiria (ESANN, 2005)

Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM. - Mustapha Lebbah; Mohamed Ramzi Temanni; Christine Poitou-Bernert; Karine Clément; Jean-Daniel Zucker (AAFD, 2006)

Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique. - Khalid Benabdeslem; Mustapha Lebbah; Alexandre Aussem; Marilys Corbex (EGC, 2007)

Combinaison des cartes topologiques mixtes et des machines à vecteurs de support : une application pour la prédiction de perte de poids chez les obèses. - Mohamed Ramzi Temanni; Mustapha Lebbah; Christine Poitou-Bernert; Karine Clément; Jean-Daniel Zucker (EGC, 2007)

BeSOM : Bernoulli on Self-Organizing Map. - Mustapha Lebbah; Nicoleta Rogovschi; Younès Bennani (IJCNN, 2007)

Clustering of Self-Organizing Map. - Hanane Azzag; Mustapha Lebbah (ESANN, 2008)

Pondération locale des variables en apprentissage numérique non-supervisé. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (EGC, 2008)

Segmentation hiérarchique des cartes topologiques. - Mustapha Lebbah; Hanane Azzag (EGC, 2008)

Relational Analysis for Consensus Clustering from Multiple Partitions. - Mustapha Lebbah; Younès Bennani; Hamid Benhadda (ICMLA, 2008)

Probabilistic Mixed Topological Map for Categorical and Continuous Data. - Nicoleta Rogovschi; Mustapha Lebbah; Younès Bennani (ICMLA, 2008)

A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. - Mustapha Lebbah; Younès Bennani; Nicoleta Rogovschi (Int. J. Comput. Intell. Appl., 2008)

A New Approach for Auto-organizing a Groups of Artificial Ants. - Hanane Azzag; Mustapha Lebbah (ECAL (2), 2009)

Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (EGC (best of volume), 2009)

Caractérisation automatique des classes découvertes en classification non supervisée. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (EGC, 2009)

From variable weighting to cluster characterization in topographic unsupervised learning. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (IJCNN, 2009)

Auto-organisation topologique et hiérarchique des données. - Hanane Azzag; Mustapha Lebbah (EGC, 2010)

Sous-échantillonnage topographique par apprentissage semi-supervisé. - Mustapha Lebbah; Younès Bennani (EGC, 2010)

Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering. - Hanene Azzag; Mustapha Lebbah; Aymen Arfaoui (ICMLA, 2010)

Topological Hierarchical Tree Using Artificial Ants. - Mustapha Lebbah; Hanane Azzag (ICONIP (1), 2010)

Topographic under-sampling for unbalanced distributions. - Fatma Hamdi; Mustapha Lebbah; Younès Bennani (IJCNN, 2010)

Visualization and clustering of categorical data with probabilistic self-organizing map. - Mustapha Lebbah; Khalid Benabdeslem (Neural Comput. Appl., 2010)

Une nouvelle approche visuelle pour la classification hiérarchique et topologique. - Hanane Azzag; Mustapha Lebbah (EGC, 2011)

Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani; Jean-Hugues Chenot (EGC, 2011)

Pondération et classification simultanée de données binaires et continues. - Nicoleta Rogovschi; Mustapha Lebbah; Nistor Grozavu (EGC, 2011)

SOS-HMM: Self-Organizing Structure of Hidden Markov Model. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani; Jean-Hugues Chenot (ICANN (2), 2011)

Probabilistic Self-Organizing Maps for multivariate sequences. - Rakia Jaziri; Mustapha Lebbah; Nicoleta Rogovschi; Younès Bennani (IJCNN, 2011)

A Self-Organizing Map for mixed continuous and Categorical Data. - Nicoleta Rogovschi; Mustapha Lebbah; Younès Bennani (Int. J. Comput., 2011)

Self-Organizing Tree Using Artificial Ants. - Hanene Azzag; Mustapha Lebbah (J. Inf. Technol. Res., 2011)

Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes. - Nicoleta Rogovschi; Mustapha Lebbah; Younès Bennani (Fouille de données complexes, 2011)

A New Way for Hierarchical and Topological Clustering. - Hanane Azzag; Mustapha Lebbah (EGC (best of volume), 2011)

Automatic Group-Outlier Detection. - Amine Chaibi; Hanane Azzag; Mustapha Lebbah (ESANN, 2012)

Détection de groupes outliers en classification non supervisée. - Amine Chaibi; Mustapha Lebbah; Hanane Azzag (EGC, 2012)

Clustering multi-niveaux de graphes : hiérarchique et topologique. - Nhat-Quang Doan; Hanane Azzag; Mustapha Lebbah (EGC, 2012)

Classification probabiliste non supervisée et visualisation des données séquentielles. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani (EGC, 2012)

Self-Organizing Map and Tree Topology for Graph Summarization. - Nhat-Quang Doan; Hanane Azzag; Mustapha Lebbah (ICANN (2), 2012)

Novelty Detection Using a New Group Outlier Factor. - Amine Chaibi; Mustapha Lebbah; Hanane Azzag (ICONIP (3), 2012)

Growing Self-organizing Trees for knowledge discovery from data. - Nhat-Quang Doan; Hanane Azzag; Mustapha Lebbah (IJCNN, 2012)

Graph Decomposition Using Self-organizing Trees. - Nhat-Quang Doan; Hanane Azzag; Mustapha Lebbah (IV, 2012)

Nouvelle approche de bi-partitionnement topologique. - Amine Chaibi; Mustapha Lebbah; Hanane Azzag (EGC, 2013)

Sélection de variables non supervisée sous contraintes hiérarchiques. - Nhat-Quang Doan; Hanane Azzag; Mustapha Lebbah (EGC, 2013)

A new bi-clustering approach using topological maps. - Amine Chaibi; Mustapha Lebbah; Hanane Azzag (IJCNN, 2013)

Self-organizing trees for visualizing protein dataset. - Nhat-Quang Doan; Hanane Azzag; Mustapha Lebbah; Guillaume Santini (IJCNN, 2013)

A New Visualization of Group-Outliers in Unsupervised Learning. - Amine Chaibi; Mustapha Lebbah; Hanane Azzag (IV, 2013)

Clustering using chemical and colonial odors of real ants. - Nesrine Masmoudi; Hanane Azzag; Mustapha Lebbah; Cyrille Bertelle (NaBIC, 2013)

Group Outlier factor: a New Score using Self-Organising Map for Group-Outlier and Novelty Detection. - Amine Chaibi; Mustapha Lebbah; Hanane Azzag (Int. J. Comput. Intell. Appl., 2013)

Biclustering using Spark-MapReduce. - Tugdual Sarazin; Mustapha Lebbah; Hanane Azzag (IEEE BigData, 2014)

Pondération de blocs de variables en bi-partitionnement topologique. - Amine Chaibi; Hanane Azzag; Mustapha Lebbah (EGC, 2014)

Détection de nouveautés en utilisant un nouveau score de détection de "groupes-outliers". - Amine Chaibi; Mustapha Lebbah; Hanane Azzag (Fouille de données complexes, 2014)

G-Stream: Growing Neural Gas over Data Stream. - Mohammed Ghesmoune; Hanene Azzag; Mustapha Lebbah (ICONIP (1), 2014)

Feature Group Weighting and Topological Biclustering. - Tugdual Sarazin; Mustapha Lebbah; Hanane Azzag; Amine Chaibi (ICONIP (2), 2014)

SOM Clustering Using Spark-MapReduce. - Tugdual Sarazin; Hanane Azzag; Mustapha Lebbah (IPDPS Workshops, 2014)

Incremental clustering of data stream using real ants behavior. - Nesrine Masmoudi; Hanane Azzag; Mustapha Lebbah; Cyrille Bertelle (NaBIC, 2014)

How to use ants for data stream clustering. - Nesrine Masmoudi; Hanane Azzag; Mustapha Lebbah; Cyrille Bertelle; Maher Ben Jemaa (CEC, 2015)

Clustering topologique pour le flux de données. - Mohammed Ghesmoune; Mustapha Lebbah; Hanane Azzag (EGC, 2015)

Modèle de Biclustering dans un paradigme "Mapreduce". - Tugdual Sarazin; Hanane Azzag; Mustapha Lebbah (EGC, 2015)

Clustering of Binary Data Sets Using Artificial Ants Algorithm. - Nesrine Masmoudi; Hanane Azzag; Mustapha Lebbah; Cyrille Bertelle; Maher Ben Jemaa (ICONIP (1), 2015)

Growing Hierarchical Trees for Data Stream clustering and visualization. - Nhat-Quang Doan; Mohammed Ghesmoune; Hanane Azzag; Mustapha Lebbah (IJCNN, 2015)

Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming. - Mohammed Ghesmoune; Mustapha Lebbah; Hanene Azzag (INNS Conference on Big Data, 2015)

Clustering Over Data Streams Based on Growing Neural Gas. - Mohammed Ghesmoune; Mustapha Lebbah; Hanene Azzag (PAKDD (2), 2015)

Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data. - Mustapha Lebbah; Rakia Jaziri; Younès Bennani; Jean-Hugues Chenot (Int. J. Comput. Intell. Appl., 2015)

Distributed mean shift clustering with approximate nearest neighbours. - Gaël Beck; Tarn Duong; Hanene Azzag; Mustapha Lebbah (IJCNN, 2016)

GTM Mixture through time for sequential data. - Rakia Jaziri; Faicel Chamroukhi; Mustapha Lebbah; Younès Bennani (IJCNN, 2016)

A new Model for Scalable θ-subsumption. - Hippolyte Léger; Dominique Bouthinon; Mustapha Lebbah; Hanene Azzag-Khelif (ILP (Short Papers), 2016)

CL-AntInc Algorithm for Clustering Binary Data Streams Using the Ants Behavior. - Nesrine Masmoudi; Hanane Azzag; Mustapha Lebbah; Cyrille Bertelle; Maher Ben Jemaa (KES, 2016)

A new Growing Neural Gas for clustering data streams. - Mohammed Ghesmoune; Mustapha Lebbah; Hanene Azzag (Neural Networks, 2016)

Nearest neighbour estimators of density derivatives, with application to mean shift clustering. - Tarn Duong; Gaël Beck; Hanene Azzag; Mustapha Lebbah (Pattern Recognit. Lett., 2016)

Return of experience on the mean-shift clustering for heterogeneous architecture use case. - Christophe Cérin; Jean-Luc Gaudiot; Mustapha Lebbah; Foutse Yuehgoh (IEEE BigData, 2017)

A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework. - Zaineb Chelly Dagdia; Christine Zarges; Gaël Beck; Mustapha Lebbah (IEEE BigData, 2017)

Nouveau modèle pour un passage à l'échelle de la 0-subsomption. - Hippolyte Léger; Dominique Bouthinon; Mustapha Lebbah; Hanane Azzag (EGC, 2017)

An Instance Based Model for Scalable Theta -Subsumption. - Hippolyte Léger; Dominique Bouthinon; Mustapha Lebbah; Hanene Azzag (ICTAI, 2017)

Big Data: from collection to visualization. - Mohammed Ghesmoune; Hanene Azzag; Salima Benbernou; Mustapha Lebbah; Tarn Duong; Mourad Ouziri (Mach. Learn., 2017)

A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. - Zaineb Chelly Dagdia; Christine Zarges; Gaël Beck; Hanene Azzag; Mustapha Lebbah (IEEE BigData, 2018)

A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data. - Florent Forest; Jérôme Lacaille; Mustapha Lebbah; Hanene Azzag (IEEE BigData, 2018)

A Complete Data Science Work-flow For Insurance Field. - Mohammed Ghesmoune; Mustapha Lebbah; Hanane Azzag; Salima Benbernou; Mourad Ouziri; Tarn Duong (IEEE BigData, 2018)

Mean-shift : Clustering scalable et distribué. - Gaël Beck; Hanane Azzag; Mustapha Lebbah; Tarn Duong (EGC, 2018)

Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives. - Zaineb Chelly Dagdia; Christine Zarges; Gaël Beck; Mustapha Lebbah (EGC, 2018)

Hierarchical Laplacian Score for unsupervised feature selection. - Nhat-Quang Doan; Hanane Azzag; Mustapha Lebbah (IJCNN, 2018)

A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. - Gaël Beck; Hanane Azzag; Stéphanie Bougeard; Mustapha Lebbah; Ndèye Niang (INNS Conference on Big Data, 2018)

Accelerating the Computation of Multi-Objectives Scheduling Solutions for Cloud Computing. - Christophe Cérin; Tarek Menouer; Mustapha Lebbah (SC², 2018)

An Instance Based Model for Scalable θ-Subsumption. - Hippolyte Léger; Dominique Bouthinon; Mustapha Lebbah; Hanene Azzag (Int. J. Artif. Intell. Tools, 2018)

Deep Embedded SOM: joint representation learning and self-organization. - Florent Forest; Mustapha Lebbah; Hanene Azzag; Jérôme Lacaille (ESANN, 2019)

Soft Subspace Growing Neural Gas for Data Stream Clustering. - Mohammed Oualid Attaoui; Mustapha Lebbah; Nabil Keskes; Hanene Azzag; Mohammed Ghesmoune (ICANN (4), 2019)

Algorithms for an Efficient Tensor Biclustering. - Andriantsiory Dina Faneva; Mustapha Lebbah; Hanane Azzag; Gaël Beck (PAKDD (Workshops), 2019)

Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. - Florent Forest; Mustapha Lebbah; Hanane Azzag; Jérôme Lacaille (PAKDD (Workshops), 2019)

Soft Subspace Topological Clustering over Evolving Data Stream. - Mohammed Oualid Attaoui; Mustapha Lebbah; Nabil Keskes; Hanene Azzag; Mohammed Ghesmoune (WSOM+, 2019)

A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering. - Gaël Beck; Tarn Duong; Mustapha Lebbah; Hanane Azzag; Christophe Cérin (CoRR, 2019)

Nearest Neighbor Median Shift Clustering for Binary Data. - Gaël Beck; Tarn Duong; Mustapha Lebbah; Hanane Azzag (CoRR, 2019)

An ant-based new clustering model for graph proximity construction. - Nesrine Masmoudi; Hanene Azzag; Mustapha Lebbah; Cyrille Bertelle; Maher Ben Jemaa (Int. J. Bio Inspired Comput., 2019)

A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering. - Gaël Beck; Tarn Duong; Mustapha Lebbah; Hanane Azzag; Christophe Cérin (J. Parallel Distributed Comput., 2019)

Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. - Mohammed Oualid Attaoui; Mustapha Lebbah; Nabil Keskes; Hanene Azzag; Mohammed Ghesmoune (EGC, 2020)

Clustering de séries temporelles par construction de dictionnaire. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi (EGC, 2020)

Multi-objective data stream clustering. - Mohammed Oualid Attaoui; Hanene Azzag; Mustapha Lebbah; Nabil Keskes (GECCO Companion, 2020)

An Invariance-guided Stability Criterion for Time Series Clustering Validation. - Florent Forest; Alex Mourer; Mustapha Lebbah; Hanane Azzag; Jérôme Lacaille (ICPR, 2020)

Autonomous Driving Validation with Model-Based Dictionary Clustering. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi (ECML/PKDD (4), 2020)

Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. - Étienne Goffinet; Anthony Coutant; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi (CoRR, 2020)

A Survey and Implementation of Performance Metrics for Self-Organized Maps. - Florent Forest; Mustapha Lebbah; Hanane Azzag; Jérôme Lacaille (CoRR, 2020)

A scalable and effective rough set theory-based approach for big data pre-processing. - Zaineb Chelly Dagdia; Christine Zarges; Gaël Beck; Mustapha Lebbah (Knowl. Inf. Syst., 2020)

Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (AALTD@ECML/PKDD, 2021)

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 (CEC, 2021)

Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (ESANN, 2021)

A New Nearest Neighbor Median Shift Clustering for Binary Data. - Gaël Beck; Mustapha Lebbah; Hanene Azzag; Tarn Duong (ICANN (5), 2021)

Multi-Slice Clustering for 3-order Tensor. - Andriantsiory Dina Faneva; Joseph Ben Geloun; Mustapha Lebbah (ICMLA, 2021)

Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. - Pierre Le Jeune; Mustapha Lebbah; Anissa Mokraoui; Hanene Azzag (ICMLA, 2021)

Multi-Slice Clustering for 3-order Tensor Data. - Andriantsiory Dina Faneva; Joseph Ben Geloun; Mustapha Lebbah (CoRR, 2021)

An Evolutionary Computing-Based Efficient Hybrid Task Scheduling Approach for Heterogeneous Computing Environment. - Muhammad Sulaiman 003; Zahid Halim; Mustapha Lebbah; Muhammad Waqas 001; Shanshan Tu (J. Grid Comput., 2021)

Subspace data stream clustering with global and local weighting models. - Mohammed Oualid Attaoui; Hanene Azzag; Mustapha Lebbah; Nabil Keskes (Neural Comput. Appl., 2021)

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. - Florent Forest; Mustapha Lebbah; Hanene Azzag; Jérôme Lacaille (Neural Comput. Appl., 2021)

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 (ICDM (Workshops), 2022)

Transfer learning from synthetic labels for histopathological images classification. - Nassima Dif; Mohammed Oualid Attaoui; Zakaria Elberrichi; Mustapha Lebbah; Hanene Azzag (Appl. Intell., 2022)

Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. - Mohammed Oualid Attaoui; Hanene Azzag; Mustapha Lebbah; Nabil Keskes (CoRR, 2022)

Transformer-based conditional generative adversarial network for multivariate time series generation. - Abdellah Madane; Mohamed Djallel Dilmi; Florent Forest; Hanane Azzag; Mustapha Lebbah; Jérôme Lacaille (CoRR, 2022)

Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (Comput. Stat. Data Anal., 2022)

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 (ESANN, 2023)

Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues. - Reda Khoufache; Mohamed Djallel Dilmi; Hanene Azzag; Étienne Goffinet; Mustapha Lebbah (EGC, 2023)

Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. - Mohammed Walid Attaoui; Hanene Azzag; Mustapha Lebbah (GECCO Companion, 2023)

Context Normalization Layer with Applications. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Mohamed Djallel Dilmi; Djamel Bouchaffra (ICDM (Workshops), 2023)

Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. - Alex Mourer; Florent Forest; Mustapha Lebbah; Hanane Azzag; Jérôme Lacaille (PAKDD (1), 2023)

A New Class of Intelligible Models for Tabular Learning. - Kodjo Mawuena Amekoe; Hanane Azzag; Mustapha Lebbah; Zaineb Chelly Dagdia; Gregoire Jaffre (PKDD/ECML Workshops (3), 2023)

Context Normalization for Robust Image Classification. - Bilal Faye; Mohamed Djallel Dilmi; Hanane Azzag; Mustapha Lebbah; Fangchen Feng (CoRR, 2023)

Multiway clustering of 3-order tensor via affinity matrix. - Dina Faneva Andriantsiory; Joseph Ben Geloun; Mustapha Lebbah (CoRR, 2023)

DBSCAN of Multi-Slice Clustering for Third-Order Tensors. - Dina Faneva Andriantsiory; Joseph Ben Geloun; Mustapha Lebbah (CoRR, 2023)

Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression. - Mohamed Djallel Dilmi; Hanene Azzag; Mustapha Lebbah (CoRR, 2023)

Self-Reinforcement Attention Mechanism For Tabular Learning. - Kodjo Mawuena Amekoe; Mohamed Djallel Dilmi; Hanene Azzag; Mustapha Lebbah; Zaineb Chelly Dagdia; Gregoire Jaffre (CoRR, 2023)

Parallel Computation of Multi-Slice Clustering of Third-Order Tensors. - Dina Faneva Andriantsiory; Camille Coti; Joseph Ben Geloun; Mustapha Lebbah (CoRR, 2023)

Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. - Mohammed Oualid Attaoui; Nassima Dif; Hanene Azzag; Mustapha Lebbah (Vis. Comput., 2023)

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 Muñoz (LREC/COLING, 2024)

HDBSCAN for 3-rd order tensor. - Dina Faneva Andriantsiory; Joseph Ben Geloun; Mustapha Lebbah (ESANN, 2024)

Lightweight Cross-Modal Representation Learning. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (ESANN, 2024)

From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics. - Abdellah Madane; Florent Forest; Hanane Azzag; Mustapha Lebbah; Jérôme Lacaille (ESANN, 2024)

Normalisation Contextuelle : Une Nouvelle Approche pour la Stabilité et l'Amélioration des Performances des Réseaux de Neurones. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Fangchen Fang (EGC, 2024)

Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (ICIP, 2024)

AESim: A Data-Driven Aircraft Engine Simulator. - Abdellah Madane; Florent Forest; Hanane Azzag; Mustapha Lebbah; Jérôme Lacaille (IJCAI, 2024)

UAN: Unsupervised Adaptive Normalization. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Fangchen Fang (IJCNN, 2024)

One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. - Abdellah Madane; Florent Forest; Hanane Azzag; Mustapha Lebbah; Jérôme Lacaille (IJCNN, 2024)

Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. - Reda Khoufache; Anisse Belhadj; Hanene Azzag; Mustapha Lebbah (PAKDD (1), 2024)

Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. - Reda Khoufache; Mustapha Lebbah; Hanene Azzag; Étienne Goffinet; Djamel Bouchaffra (SDM, 2024)

Context-Based Multimodal Fusion. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (CoRR, 2024)

Cluster-Based Normalization Layer for Neural Networks. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Supervised Batch Normalization. - Bilal Faye; Mustapha Lebbah; Hanane Azzag (CoRR, 2024)

LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training. - Binta Sow; Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Unsupervised Adaptive Normalization. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Fangchen Fang (CoRR, 2024)

Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection. - Kodjo Mawuena Amekoe; Mustapha Lebbah; Gregoire Jaffre; Hanene Azzag; Zaineb Chelly Dagdia (CoRR, 2024)

OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Manual Verbalizer Enrichment for Few-Shot Text Classification. - Quang Anh Nguyen; Nadi Tomeh; Mustapha Lebbah; Thierry Charnois; Hanene Azzag; Santiago Cordoba Muñoz (CoRR, 2024)

Game Theory Meets Statistical Mechanics in Deep Learning Design. - Djamel Bouchaffra; Fayçal Ykhlef; Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models. - Kodjo Mawuena Amekoe; Hanane Azzag; Zaineb Chelly Dagdia; Mustapha Lebbah; Gregoire Jaffre (Neural Comput. Appl., 2024)

Génération en une seule passe de séries temporelles multivariées par modélisation multivariée conditionnelle. - Abdellah Madane; Florent Forest; Hanane Azzag; Mustapha Lebbah; Jérôme Lacaille (EGC, 2025)

Simulateur de moteurs d'avions. - Abdellah Madane; Florent Forest; Hanane Azzag; Mustapha Lebbah; Jérôme Lacaille (EGC, 2025)

Context normalization: A new approach for the stability and improvement of neural network performance. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Fangchen Feng (Data Knowl. Eng., 2025)

A distributed inference algorithm for Dirichlet process mixture models with exponential family components. - Reda Khoufache; Mustapha Lebbah; Hanene Azzag; Étienne Goffinet; Djamel Bouchaffra (Neurocomputing, 2025)

Redesigning deep neural networks: Bridging game theory and statistical physics. - Djamel Bouchaffra; Fayçal Ykhlef; Bilal Faye; Mustapha Lebbah; Hanene Azzag (Neural Networks, 2025)

MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing. - Karim Radouane; Hanane Azzag; Mustapha Lebbah (CoRR, 2025)

Value-Free Policy Optimization via Reward Partitioning. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2025)

Prototype-Guided Diffusion: Visual Conditioning without External Memory. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2025)