Mustapha Lebbah

According to our database, Mustapha Lebbah authored at least 130 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cluster-Based Normalization Layer for Neural Networks.

Bilal Faye, Hanane Azzag, Mustapha Lebbah

CoRR, 2024

Context-Based Multimodal Fusion.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra

CoRR, 2024

Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model.

Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah

CoRR, 2024

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., April, 2023

Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning.

Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra

CoRR, 2023

Parallel Computation of Multi-Slice Clustering of Third-Order Tensors.

Dina Faneva Andriantsiory, Camille Coti, Joseph Ben Geloun, 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

Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression.

Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah

CoRR, 2023

DBSCAN of Multi-Slice Clustering for Third-Order Tensors.

Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah

CoRR, 2023

Multiway clustering of 3-order tensor via affinity matrix.

Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah

CoRR, 2023

Context Normalization for Robust Image Classification.

Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng

CoRR, 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Context Normalization Layer with Applications.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra

Proceedings of the IEEE International Conference on Data Mining, 2023

Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization.

Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 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

Proceedings of the Extraction et Gestion des Connaissances, 2023

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

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

Improved Multi-objective Data Stream Clustering with Time and Memory Optimization.

Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes

CoRR, 2022

Transfer learning from synthetic labels for histopathological images classification.

Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag

Appl. Intell., 2022

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

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

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

Subspace data stream clustering with global and local weighting models.

Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes

Neural Comput. Appl., 2021

An Evolutionary Computing-Based Efficient Hybrid Task Scheduling Approach for Heterogeneous Computing Environment.

Muhammad Sulaiman, Zahid Halim, Mustapha Lebbah, Muhammad Waqas, Shanshan Tu

J. Grid Comput., 2021

Multi-Slice Clustering for 3-order Tensor Data.

Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah

CoRR, 2021

Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images.

Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Multi-Slice Clustering for 3-order Tensor.

Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

A New Nearest Neighbor Median Shift Clustering for Binary Data.

Gaël Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant

Proceedings of the 29th European Symposium on Artificial Neural Networks, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

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

A Survey and Implementation of Performance Metrics for Self-Organized Maps.

Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

CoRR, 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

Autonomous Driving Validation with Model-Based Dictionary Clustering.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

An Invariance-guided Stability Criterion for Time Series Clustering Validation.

Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-objective data stream clustering.

Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Clustering de séries temporelles par construction de dictionnaire.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi

Proceedings of the Extraction et Gestion des Connaissances, 2020

Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données.

Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune

Proceedings of the Extraction et Gestion des Connaissances, 2020

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

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

Nearest Neighbor Median Shift Clustering for Binary Data.

Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag

CoRR, 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

Soft Subspace Topological Clustering over Evolving Data Stream.

Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps.

Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Algorithms for an Efficient Tensor Biclustering.

Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Soft Subspace Growing Neural Gas for Data Stream Clustering.

Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Deep Embedded SOM: joint representation learning and self-organization.

Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

An Instance Based Model for Scalable <i>θ</i>-Subsumption.

Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag

Int. J. Artif. Intell. Tools, 2018

Accelerating the Computation of Multi-Objectives Scheduling Solutions for Cloud Computing.

Christophe Cérin, Tarek Menouer, Mustapha Lebbah

Proceedings of the 8th IEEE International Symposium on Cloud and Service Computing, 2018

A New Micro-Batch Approach for Partial Least Square Clusterwise Regression.

Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Hierarchical Laplacian Score for unsupervised feature selection.

Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah

Proceedings of the 2018 International Joint Conference on Neural Networks, 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

Proceedings of the Extraction et Gestion des Connaissances, 2018

Mean-shift : Clustering scalable et distribué.

Gaël Beck, Hanane Azzag, Mustapha Lebbah, Tarn Duong

Proceedings of the Extraction et Gestion des Connaissances, 2018

A Complete Data Science Work-flow For Insurance Field.

Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag, Salima Benbernou, Mourad Ouziri, Tarn Duong

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data.

Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Big Data: from collection to visualization.

Mohammed Ghesmoune, Hanene Azzag, Salima Benbernou, Mustapha Lebbah, Tarn Duong, Mourad Ouziri

Mach. Learn., 2017

An Instance Based Model for Scalable Theta -Subsumption.

Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Nouveau modèle pour un passage à l'échelle de la 0-subsomption.

Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanane Azzag

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 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

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Return of experience on the mean-shift clustering for heterogeneous architecture use case.

Christophe Cérin, Jean-Luc Gaudiot, Mustapha Lebbah, Foutse Yuehgoh

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

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

A new Growing Neural Gas for clustering data streams.

Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag

Neural Networks, 2016

CL-AntInc Algorithm for Clustering Binary Data Streams Using the Ants Behavior.

Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

A new Model for Scalable θ-subsumption.

Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag-Khelif

Proceedings of the 26th International Conference on Inductive Logic Programming (Short papers), 2016

GTM Mixture through time for sequential data.

Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Distributed mean shift clustering with approximate nearest neighbours.

Gaël Beck, Tarn Duong, Hanene Azzag, Mustapha Lebbah

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Clustering Over Data Streams Based on Growing Neural Gas.

Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming.

Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag

Proceedings of the INNS Conference on Big Data 2015, 2015

Growing Hierarchical Trees for Data Stream clustering and visualization.

Nhat-Quang Doan, Mohammed Ghesmoune, Hanane Azzag, Mustapha Lebbah

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Clustering of Binary Data Sets Using Artificial Ants Algorithm.

Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Modèle de Biclustering dans un paradigme "Mapreduce".

Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Clustering topologique pour le flux de données.

Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

How to use ants for data stream clustering.

Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Incremental clustering of data stream using real ants behavior.

Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

SOM Clustering Using Spark-MapReduce.

Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Feature Group Weighting and Topological Biclustering.

Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag, Amine Chaibi

Proceedings of the Neural Information Processing - 21st International Conference, 2014

G-Stream: Growing Neural Gas over Data Stream.

Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Détection de nouveautés en utilisant un nouveau score de détection de "groupes-outliers".

Amine Chaibi, Mustapha Lebbah, Hanane Azzag

Proceedings of the Fouille de Données Complexes, 2014, 2014

Pondération de blocs de variables en bi-partitionnement topologique.

Amine Chaibi, Hanane Azzag, Mustapha Lebbah

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Biclustering using Spark-MapReduce.

Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

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

Clustering using chemical and colonial odors of real ants.

Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle

Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

A New Visualization of Group-Outliers in Unsupervised Learning.

Amine Chaibi, Mustapha Lebbah, Hanane Azzag

Proceedings of the 17th International Conference on Information Visualisation, 2013

Self-organizing trees for visualizing protein dataset.

Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah, Guillaume Santini

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A new bi-clustering approach using topological maps.

Amine Chaibi, Mustapha Lebbah, Hanane Azzag

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Sélection de variables non supervisée sous contraintes hiérarchiques.

Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Nouvelle approche de bi-partitionnement topologique.

Amine Chaibi, Mustapha Lebbah, Hanane Azzag

Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

2012

Graph Decomposition Using Self-organizing Trees.

Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah

Proceedings of the 16th International Conference on Information Visualisation, 2012

Growing Self-organizing Trees for knowledge discovery from data.

Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Novelty Detection Using a New Group Outlier Factor.

Amine Chaibi, Mustapha Lebbah, Hanane Azzag

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Self-Organizing Map and Tree Topology for Graph Summarization.

Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Classification probabiliste non supervisée et visualisation des données séquentielles.

Rakia Jaziri, Mustapha Lebbah, Younès Bennani

Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Clustering multi-niveaux de graphes : hiérarchique et topologique.

Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Détection de groupes outliers en classification non supervisée.

Amine Chaibi, Mustapha Lebbah, Hanane Azzag

Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Automatic Group-Outlier Detection.

Amine Chaibi, Hanane Azzag, Mustapha Lebbah

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

A New Way for Hierarchical and Topological Clustering.

Hanane Azzag, Mustapha Lebbah

Proceedings of the Advances in Knowledge Discovery and Management, 2011

Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes.

Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani

Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Self-Organizing Tree Using Artificial Ants.

Hanene Azzag, Mustapha Lebbah

J. Inf. Technol. Res., 2011

Probabilistic Self-Organizing Maps for multivariate sequences.

Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

SOS-HMM: Self-Organizing Structure of Hidden Markov Model.

Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Pondération et classification simultanée de données binaires et continues.

Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions.

Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Une nouvelle approche visuelle pour la classification hiérarchique et topologique.

Hanane Azzag, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Visualization and clustering of categorical data with probabilistic self-organizing map.

Mustapha Lebbah, Khalid Benabdeslem

Neural Comput. Appl., 2010

Topographic under-sampling for unbalanced distributions.

Fatma Hamdi, Mustapha Lebbah, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2010

Topological Hierarchical Tree Using Artificial Ants.

Mustapha Lebbah, Hanane Azzag

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering.

Hanene Azzag, Mustapha Lebbah, Aymen Arfaoui

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Sous-échantillonnage topographique par apprentissage semi-supervisé.

Mustapha Lebbah, Younès Bennani

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Auto-organisation topologique et hiérarchique des données.

Hanane Azzag, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009

From variable weighting to cluster characterization in topographic unsupervised learning.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the International Joint Conference on Neural Networks, 2009

Caractérisation automatique des classes découvertes en classification non supervisée.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Cluster-Dependent Feature Selection through a Weighted Learning Paradigm.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

A New Approach for Auto-organizing a Groups of Artificial Ants.

Hanane Azzag, Mustapha Lebbah

Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

2008

A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering.

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi

Int. J. Comput. Intell. Appl., 2008

Probabilistic Mixed Topological Map for Categorical and Continuous Data.

Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Relational Analysis for Consensus Clustering from Multiple Partitions.

Mustapha Lebbah, Younès Bennani, Hamid Benhadda

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Segmentation hiérarchique des cartes topologiques.

Mustapha Lebbah, Hanane Azzag

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Pondération locale des variables en apprentissage numérique non-supervisé.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Clustering of Self-Organizing Map.

Hanane Azzag, Mustapha Lebbah

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

BeSOM : Bernoulli on Self-Organizing Map.

Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

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

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006

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

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2006

2005

Mixed Topological Map.

Mustapha Lebbah, Aymeric Chazottes, Fouad Badran, Sylvie Thiria

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

Visualization and classification with categorical topological map.

Mustapha Lebbah, Fouad Badran, Sylvie Thiria

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Carte topologique pour données qualitatives: application à la reconnaissance automatique de la densité du trafic routier.

Mustapha Lebbah

PhD thesis, 2003

2002

Categorical Topological Map.

Mustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria

Proceedings of the Artificial Neural Networks, 2002

2000

Topological map for binary data.

Mustapha Lebbah, Fouad Badran, Sylvie Thiria

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000