Mustapha Lebbah

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 75

Top Venues

Versailles Saint-Quentin-en-Yvelines University, France (PHD)

Education History

Versailles Saint-Quentin-en-Yvelines University, France

PHD

Publications

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
Context-Based Multimodal Fusion. CoRR (2024)
Bilal Faye, Hanane Azzag, Mustapha Lebbah
Cluster-Based Normalization Layer for Neural Networks. CoRR (2024)
Bilal Faye, Mustapha Lebbah, Hanane Azzag
Supervised Batch Normalization. CoRR (2024)
Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. PAKDD (1) (2024)
Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muñoz
Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods. LREC/COLING (2024)
Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM (2024)
Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. CoRR (2024)
Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre
Self-Reinforcement Attention Mechanism For Tabular Learning. CoRR (2023)
Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra
Context Normalization Layer with Applications. ICDM (Workshops) (2023)
Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah
Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. Vis. Comput. 39 (4) (2023)
Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng
Context Normalization for Robust Image Classification. CoRR (2023)
Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR (2023)
Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah
Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression. CoRR (2023)
Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
DBSCAN of Multi-Slice Clustering for Third-Order Tensors. CoRR (2023)
Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah
Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. GECCO Companion (2023)
Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah
Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues. EGC (2023)
Dina Faneva Andriantsiory, Camille Coti, Joseph Ben Geloun, Mustapha Lebbah
Parallel Computation of Multi-Slice Clustering of Third-Order Tensors. CoRR (2023)
Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) (2023)
Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
Multiway clustering of 3-order tensor via affinity matrix. CoRR (2023)
Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre
TabSRA: An Attention based Self-Explainable Model for Tabular Learning. ESANN (2023)
Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. CoRR (2022)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Comput. Stat. Data Anal. 176 (2022)
Abdellah Madane, Mohamed-djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR (2022)
Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag
Transfer learning from synthetic labels for histopathological images classification. Appl. Intell. 52 (1) (2022)
Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah
Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. ICDM (Workshops) (2022)
Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah
Multi-Slice Clustering for 3-order Tensor. ICMLA (2021)
Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah
A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. CEC (2021)
Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. CoRR (2021)
Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah
Multi-Slice Clustering for 3-order Tensor Data. CoRR (2021)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. AALTD@ECML/PKDD (2021)
Gaël Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong
A New Nearest Neighbor Median Shift Clustering for Binary Data. ICANN (5) (2021)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN (2021)
Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. 33 (24) (2021)
Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
Subspace data stream clustering with global and local weighting models. Neural Comput. Appl. 33 (8) (2021)
Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. ICMLA (2021)
Muhammad Sulaiman, Zahid Halim, Mustapha Lebbah, Muhammad Waqas, Shanshan Tu
An Evolutionary Computing-Based Efficient Hybrid Task Scheduling Approach for Heterogeneous Computing Environment. J. Grid Comput. 19 (1) (2021)
Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. CoRR (2020)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
Autonomous Driving Validation with Model-Based Dictionary Clustering. ECML/PKDD (4) (2020)
Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. EGC (2020)
Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion. CoRR (2020)
Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR (2020)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
Clustering de séries temporelles par construction de dictionnaire. EGC (2020)
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
A scalable and effective rough set theory-based approach for big data pre-processing. Knowl. Inf. Syst. 62 (8) (2020)
Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR (2020)
Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
Multi-objective data stream clustering. GECCO Companion (2020)
Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering. J. Parallel Distributed Comput. 134 (2019)
Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
Deep Embedded SOM: joint representation learning and self-organization. ESANN (2019)
Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) (2019)
Nesrine Masmoudi, Hanene Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
An ant-based new clustering model for graph proximity construction. Int. J. Bio Inspired Comput. 14 (4) (2019)
Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
Soft Subspace Topological Clustering over Evolving Data Stream. WSOM+ (2019)
Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
Algorithms for an Efficient Tensor Biclustering. CoRR (2019)
Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
Algorithms for an Efficient Tensor Biclustering. PAKDD (Workshops) (2019)
Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
Soft Subspace Growing Neural Gas for Data Stream Clustering. ICANN (4) (2019)
Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering. CoRR (2019)
Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag
Nearest Neighbor Median Shift Clustering for Binary Data. CoRR (2019)
Christophe Cérin, Tarek Menouer, Mustapha Lebbah
Accelerating the Computation of Multi-Objectives Scheduling Solutions for Cloud Computing. SC² (2018)
Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag
-Subsumption. Int. J. Artif. Intell. Tools 27 (7) (2018)
Gaël Beck, Hanane Azzag, Mustapha Lebbah, Tarn Duong
Mean-shift : Clustering scalable et distribué. EGC (2018)
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives. EGC (2018)
Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag
A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data. IEEE BigData (2018)
Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang
A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. INNS Conference on Big Data (2018)
Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag, Salima Benbernou, Mourad Ouziri, Tarn Duong
A Complete Data Science Work-flow For Insurance Field. IEEE BigData (2018)
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Hanene Azzag, Mustapha Lebbah
A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. IEEE BigData (2018)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Hierarchical Laplacian Score for unsupervised feature selection. IJCNN (2018)
Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag
An Instance Based Model for Scalable Theta -Subsumption. ICTAI (2017)
Christophe Cérin, Jean-Luc Gaudiot, Mustapha Lebbah, Fouste Yuehgoh
Return of experience on the mean-shift clustering for heterogeneous architecture use case. IEEE BigData (2017)
Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanane Azzag
Nouveau modèle pour un passage à l'échelle de la 0-subsomption. EGC (2017)
Mohammed Ghesmoune, Hanene Azzag, Salima Benbernou, Mustapha Lebbah, Tarn Duong, Mourad Ouziri
Big Data: from collection to visualization. Mach. Learn. 106 (6) (2017)
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework. IEEE BigData (2017)
Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani
GTM Mixture through time for sequential data. IJCNN (2016)
Tarn Duong, Gaël Beck, Hanene Azzag, Mustapha Lebbah
Nearest neighbour estimators of density derivatives, with application to mean shift clustering. Pattern Recognit. Lett. 80 (2016)
Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag-Khelif
A new Model for Scalable θ-subsumption. ILP (Short Papers) (2016)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
CL-AntInc Algorithm for Clustering Binary Data Streams Using the Ants Behavior. KES (2016)
Gaël Beck, Tarn Duong, Hanene Azzag, Mustapha Lebbah
Distributed mean shift clustering with approximate nearest neighbours. IJCNN (2016)
Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
A new Growing Neural Gas for clustering data streams. Neural Networks 78 (2016)
Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
Modèle de Biclustering dans un paradigme "Mapreduce". EGC (2015)
Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming. INNS Conference on Big Data (2015)
Mustapha Lebbah, Rakia Jaziri, Younès Bennani, Jean-Hugues Chenot
Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data. Int. J. Comput. Intell. Appl. 14 (2) (2015)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
Clustering of Binary Data Sets Using Artificial Ants Algorithm. ICONIP (1) (2015)
Nhat-Quang Doan, Mohammed Ghesmoune, Hanane Azzag, Mustapha Lebbah
Growing Hierarchical Trees for Data Stream clustering and visualization. IJCNN (2015)
Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
Clustering Over Data Streams Based on Growing Neural Gas. PAKDD (2) (2015)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
How to use ants for data stream clustering. CEC (2015)
Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag
Clustering topologique pour le flux de données. EGC (2015)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
Incremental clustering of data stream using real ants behavior. NaBIC (2014)
Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah
G-Stream: Growing Neural Gas over Data Stream. ICONIP (1) (2014)
Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag
Biclustering using Spark-MapReduce. IEEE BigData (2014)
Amine Chaibi, Hanane Azzag, Mustapha Lebbah
Pondération de blocs de variables en bi-partitionnement topologique. EGC (2014)
Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag, Amine Chaibi
Feature Group Weighting and Topological Biclustering. ICONIP (2) (2014)
Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
SOM Clustering Using Spark-MapReduce. IPDPS Workshops (2014)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
Group Outlier factor: a New Score using Self-Organising Map for Group-Outlier and Novelty Detection. Int. J. Comput. Intell. Appl. 12 (2) (2013)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
A new bi-clustering approach using topological maps. IJCNN (2013)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
A New Visualization of Group-Outliers in Unsupervised Learning. IV (2013)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
Nouvelle approche de bi-partitionnement topologique. EGC (2013)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Sélection de variables non supervisée sous contraintes hiérarchiques. EGC (2013)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah, Guillaume Santini
Self-organizing trees for visualizing protein dataset. IJCNN (2013)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
Clustering using chemical and colonial odors of real ants. NaBIC (2013)
Rakia Jaziri, Mustapha Lebbah, Younès Bennani
Classification probabiliste non supervisée et visualisation des données séquentielles. EGC (2012)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Clustering multi-niveaux de graphes : hiérarchique et topologique. EGC (2012)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Graph Decomposition Using Self-organizing Trees. IV (2012)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
Novelty Detection Using a New Group Outlier Factor. ICONIP (3) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mustapha Lebbah