Mustapha Lebbah

174 papers A* 2A 1B 30C 10Journal 57Unranked 67

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design. IEEE Trans. Cybern. Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanane Azzag
2026	J	`jnl`	NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical Physics. CoRR Djamel Bouchaffra, Fayçal Ykhlef, Hanene Azzag, Mustapha Lebbah, Bilal Faye
2025	J	`jnl`	A distributed inference algorithm for Dirichlet process mixture models with exponential family components. Neurocomputing Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2025	J	`jnl`	Context normalization: A new approach for the stability and improvement of neural network performance. Data Knowl. Eng. Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Feng
2025	—	`conf`	Génération en une seule passe de séries temporelles multivariées par modélisation multivariée conditionnelle. EGC Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2025	A*	`conf`	Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification. EMNLP Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanane Azzag
2025	J	`jnl`	MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing. CoRR Karim Radouane, Hanane Azzag, Mustapha Lebbah
2025	J	`jnl`	OneEncoder: a lightweight framework for efficient multimodal training. Neural Comput. Appl. Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2025	J	`jnl`	Prototype-Guided Diffusion: Visual Conditioning without External Memory. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2025	J	`jnl`	Redesigning deep neural networks: Bridging game theory and statistical physics. Neural Networks Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanene Azzag
2025	—	`conf`	Simulateur de moteurs d'avions. EGC Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2025	J	`jnl`	Value-Free Policy Optimization via Reward Partitioning. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	A*	`conf`	AESim: A Data-Driven Aircraft Engine Simulator. IJCAI Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	B	`conf`	Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. ICIP Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Cluster-Based Normalization Layer for Neural Networks. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	J	`jnl`	Context-Based Multimodal Fusion. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	A	`conf`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2024	—	`conf`	Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. PAKDD (1) Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah
2024	J	`jnl`	Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. CoRR Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah
2024	—	`conf`	Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods. LREC/COLING Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muñoz
2024	J	`jnl`	Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection. CoRR Kodjo Mawuena Amekoe, Mustapha Lebbah, Gregoire Jaffre, Hanene Azzag, Zaineb Chelly Dagdia
2024	J	`jnl`	Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models. Neural Comput. Appl. Kodjo Mawuena Amekoe, Hanane Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre
2024	B	`conf`	From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics. ESANN Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	J	`jnl`	Game Theory Meets Statistical Mechanics in Deep Learning Design. CoRR Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	B	`conf`	HDBSCAN for 3-rd order tensor. ESANN Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
2024	J	`jnl`	LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training. CoRR Binta Sow, Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	B	`conf`	Lightweight Cross-Modal Representation Learning. ESANN Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Manual Verbalizer Enrichment for Few-Shot Text Classification. CoRR Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muñoz
2024	—	`conf`	Normalisation Contextuelle : Une Nouvelle Approche pour la Stabilité et l'Amélioration des Performances des Réseaux de Neurones. EGC Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang
2024	B	`conf`	One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. IJCNN Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	J	`jnl`	OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	J	`jnl`	Supervised Batch Normalization. CoRR Bilal Faye, Mustapha Lebbah, Hanane Azzag
2024	B	`conf`	UAN: Unsupervised Adaptive Normalization. IJCNN Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang
2024	J	`jnl`	Unsupervised Adaptive Normalization. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang
2023	—	`conf`	A New Class of Intelligible Models for Tabular Learning. PKDD/ECML Workshops (3) Kodjo Mawuena Amekoe, Hanane Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre
2023	—	`conf`	Context Normalization Layer with Applications. ICDM (Workshops) Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra
2023	J	`jnl`	Context Normalization for Robust Image Classification. CoRR Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng
2023	J	`jnl`	DBSCAN of Multi-Slice Clustering for Third-Order Tensors. CoRR Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
2023	J	`jnl`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2023	J	`jnl`	Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression. CoRR Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah
2023	—	`conf`	Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. GECCO Companion Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah
2023	J	`jnl`	Multiway clustering of 3-order tensor via affinity matrix. CoRR Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
2023	J	`jnl`	Parallel Computation of Multi-Slice Clustering of Third-Order Tensors. CoRR Dina Faneva Andriantsiory, Camille Coti, Joseph Ben Geloun, Mustapha Lebbah
2023	—	`conf`	Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues. EGC Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah
2023	J	`jnl`	Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. Vis. Comput. Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah
2023	—	`conf`	Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2023	J	`jnl`	Self-Reinforcement Attention Mechanism For Tabular Learning. CoRR Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre
2023	B	`conf`	TabSRA: An Attention based Self-Explainable Model for Tabular Learning. ESANN Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre
2022	—	`conf`	Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. ICDM (Workshops) Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah
2022	J	`jnl`	Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Comput. Stat. Data Anal. Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2022	J	`jnl`	Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. CoRR Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
2022	J	`jnl`	Transfer learning from synthetic labels for histopathological images classification. Appl. Intell. Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag
2022	J	`jnl`	Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2021	—	`conf`	A New Nearest Neighbor Median Shift Clustering for Binary Data. ICANN (5) Gaël Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong
2021	B	`conf`	A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. CEC Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah
2021	J	`jnl`	An Evolutionary Computing-Based Efficient Hybrid Task Scheduling Approach for Heterogeneous Computing Environment. J. Grid Comput. Muhammad Sulaiman, Zahid Halim, Mustapha Lebbah, Muhammad Waqas, Shanshan Tu
2021	J	`jnl`	Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
2021	C	`conf`	Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. ICMLA Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag
2021	J	`jnl`	Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. CoRR Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag
2021	J	`jnl`	Multi-Slice Clustering for 3-order Tensor Data. CoRR Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah
2021	C	`conf`	Multi-Slice Clustering for 3-order Tensor. ICMLA Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah
2021	B	`conf`	Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2021	—	`conf`	Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. AALTD@ECML/PKDD Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2021	J	`jnl`	Subspace data stream clustering with global and local weighting models. Neural Comput. Appl. Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
2020	J	`jnl`	A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	J	`jnl`	A scalable and effective rough set theory-based approach for big data pre-processing. Knowl. Inf. Syst. Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
2020	B	`conf`	An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	—	`conf`	Autonomous Driving Validation with Model-Based Dictionary Clustering. ECML/PKDD (4) Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	—	`conf`	Clustering de séries temporelles par construction de dictionnaire. EGC Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	J	`jnl`	Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. CoRR Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	—	`conf`	Multi-objective data stream clustering. GECCO Companion Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
2020	J	`jnl`	Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion. CoRR Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	—	`conf`	Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. EGC Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
2019	—	`ed.`	23rd International Conference on Information Visualisation, IV 2019, Paris, France, July 2-5, 2019, Part I IV (1) Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, Nuno Datia, Rita Francese, Muhammad Sarfraz, Theodor G. Wyeld, Fatma Bouali, Gilles Venturini, Hanane Azzag, Mustapha Lebbah, Marjan Trutschl, Urska Cvek, Heimo Müller, Minoru Nakayama, Sebastian Kernbach, Loredana Caruccio, Michele Risi, Ugo Erra, Autilia Vitiello, Veronica Rossano
2019	J	`jnl`	A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering. CoRR Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
2019	J	`jnl`	A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering. J. Parallel Distributed Comput. Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
2019	—	`conf`	Algorithms for an Efficient Tensor Biclustering. PAKDD (Workshops) Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
2019	J	`jnl`	Algorithms for an Efficient Tensor Biclustering. CoRR Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
2019	J	`jnl`	An ant-based new clustering model for graph proximity construction. Int. J. Bio Inspired Comput. Nesrine Masmoudi, Hanene Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2019	—	`conf`	Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2019	B	`conf`	Deep Embedded SOM: joint representation learning and self-organization. ESANN Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
2019	J	`jnl`	Nearest Neighbor Median Shift Clustering for Binary Data. CoRR Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag
2019	—	`conf`	Soft Subspace Growing Neural Gas for Data Stream Clustering. ICANN (4) Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
2019	—	`conf`	Soft Subspace Topological Clustering over Evolving Data Stream. WSOM+ Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
2018	—	`conf`	A Complete Data Science Work-flow For Insurance Field. IEEE BigData Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag, Salima Benbernou, Mourad Ouziri, Tarn Duong
2018	—	`conf`	A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. IEEE BigData Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Hanene Azzag, Mustapha Lebbah
2018	—	`conf`	A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data. IEEE BigData Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag
2018	—	`conf`	A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. INNS Conference on Big Data Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang
2018	—	`conf`	Accelerating the Computation of Multi-Objectives Scheduling Solutions for Cloud Computing. SC² Christophe Cérin, Tarek Menouer, Mustapha Lebbah
2018	J	`jnl`	An Instance Based Model for Scalable Int. J. Artif. Intell. Tools Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag
2018	—	`ed.`	Extraction et Gestion des Connaissances, EGC 2018, Paris, France, January 23-26, 2018 EGC Mustapha Lebbah, Christine Largeron, Hanane Azzag
2018	B	`conf`	Hierarchical Laplacian Score for unsupervised feature selection. IJCNN Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2018	—	`conf`	Mean-shift : Clustering scalable et distribué. EGC Gaël Beck, Hanane Azzag, Mustapha Lebbah, Tarn Duong
2018	—	`conf`	Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives. EGC Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
2017	—	`conf`	A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework. IEEE BigData Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
2017	B	`conf`	An Instance Based Model for Scalable Theta -Subsumption. ICTAI Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag
2017	J	`jnl`	Big Data: from collection to visualization. Mach. Learn. Mohammed Ghesmoune, Hanene Azzag, Salima Benbernou, Mustapha Lebbah, Tarn Duong, Mourad Ouziri
2017	—	`conf`	Nouveau modèle pour un passage à l'échelle de la 0-subsomption. EGC Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanane Azzag
2017	—	`conf`	Return of experience on the mean-shift clustering for heterogeneous architecture use case. IEEE BigData Christophe Cérin, Jean-Luc Gaudiot, Mustapha Lebbah, Foutse Yuehgoh
2016	J	`jnl`	A new Growing Neural Gas for clustering data streams. Neural Networks Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
2016	—	`conf`	A new Model for Scalable θ-subsumption. ILP (Short Papers) Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag-Khelif
2016	B	`conf`	CL-AntInc Algorithm for Clustering Binary Data Streams Using the Ants Behavior. KES Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2016	B	`conf`	Distributed mean shift clustering with approximate nearest neighbours. IJCNN Gaël Beck, Tarn Duong, Hanene Azzag, Mustapha Lebbah
2016	B	`conf`	GTM Mixture through time for sequential data. IJCNN Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani
2016	J	`jnl`	Nearest neighbour estimators of density derivatives, with application to mean shift clustering. Pattern Recognit. Lett. Tarn Duong, Gaël Beck, Hanene Azzag, Mustapha Lebbah
2015	—	`conf`	Clustering Over Data Streams Based on Growing Neural Gas. PAKDD (2) Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
2015	—	`conf`	Clustering of Binary Data Sets Using Artificial Ants Algorithm. ICONIP (1) Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2015	—	`conf`	Clustering topologique pour le flux de données. EGC Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag
2015	B	`conf`	Growing Hierarchical Trees for Data Stream clustering and visualization. IJCNN Nhat-Quang Doan, Mohammed Ghesmoune, Hanane Azzag, Mustapha Lebbah
2015	B	`conf`	How to use ants for data stream clustering. CEC Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2015	—	`conf`	Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming. INNS Conference on Big Data Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
2015	—	`conf`	Modèle de Biclustering dans un paradigme "Mapreduce". EGC Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
2015	J	`jnl`	Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data. Int. J. Comput. Intell. Appl. Mustapha Lebbah, Rakia Jaziri, Younès Bennani, Jean-Hugues Chenot
2014	—	`conf`	Biclustering using Spark-MapReduce. IEEE BigData Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag
2014	—	`ch.`	Détection de nouveautés en utilisant un nouveau score de détection de "groupes-outliers". Fouille de données complexes Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2014	—	`conf`	Feature Group Weighting and Topological Biclustering. ICONIP (2) Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag, Amine Chaibi
2014	—	`book`	Fouille de Données Complexes, 2014 Fouille de données complexes Guillaume Cleuziou, Cyril De Runz, Germain Forestier, Mustapha Lebbah
2014	—	`conf`	G-Stream: Growing Neural Gas over Data Stream. ICONIP (1) Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah
2014	—	`conf`	Incremental clustering of data stream using real ants behavior. NaBIC Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
2014	—	`conf`	Pondération de blocs de variables en bi-partitionnement topologique. EGC Amine Chaibi, Hanane Azzag, Mustapha Lebbah
2014	—	`conf`	SOM Clustering Using Spark-MapReduce. IPDPS Workshops Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
2013	C	`ed.`	17th International Conference on Information Visualisation, IV 2013, London, United Kingdom, July 16-18, 2013 IV Ebad Banissi, Hanane Azzag, Mark W. McK. Bannatyne, Stefan Bertschi, Fatma Bouali, Remo Burkhard, John Counsell, Alfredo Cuzzocrea, Martin J. Eppler, Barbara Hammer, Mustapha Lebbah, Francis T. Marchese, Muhammad Sarfraz, Anna Ursyn, Gilles Venturini, Theodor G. Wyeld
2013	C	`conf`	A New Visualization of Group-Outliers in Unsupervised Learning. IV Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	B	`conf`	A new bi-clustering approach using topological maps. IJCNN Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	—	`conf`	Clustering using chemical and colonial odors of real ants. NaBIC Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
2013	J	`jnl`	Group Outlier factor: a New Score using Self-Organising Map for Group-Outlier and Novelty Detection. Int. J. Comput. Intell. Appl. Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	—	`conf`	Nouvelle approche de bi-partitionnement topologique. EGC Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	B	`conf`	Self-organizing trees for visualizing protein dataset. IJCNN Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah, Guillaume Santini
2013	—	`conf`	Sélection de variables non supervisée sous contraintes hiérarchiques. EGC Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	C	`ed.`	16th International Conference on Information Visualisation, IV 2012, Montpellier, France, July 11-13, 2012 IV Ebad Banissi, Stefan Bertschi, Camilla Forsell, Jimmy Johansson, Sarah Kenderdine, Francis T. Marchese, Muhammad Sarfraz, Liz J. Stuart, Anna Ursyn, Theodor G. Wyeld, Hanane Azzag, Mustapha Lebbah, Gilles Venturini
2012	B	`conf`	Automatic Group-Outlier Detection. ESANN Amine Chaibi, Hanane Azzag, Mustapha Lebbah
2012	—	`conf`	Classification probabiliste non supervisée et visualisation des données séquentielles. EGC Rakia Jaziri, Mustapha Lebbah, Younès Bennani
2012	—	`conf`	Clustering multi-niveaux de graphes : hiérarchique et topologique. EGC Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	—	`conf`	Détection de groupes outliers en classification non supervisée. EGC Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2012	C	`conf`	Graph Decomposition Using Self-organizing Trees. IV Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	B	`conf`	Growing Self-organizing Trees for knowledge discovery from data. IJCNN Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	—	`conf`	Novelty Detection Using a New Group Outlier Factor. ICONIP (3) Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2012	—	`conf`	Self-Organizing Map and Tree Topology for Graph Summarization. ICANN (2) Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2011	—	`conf`	A New Way for Hierarchical and Topological Clustering. EGC (best of volume) Hanane Azzag, Mustapha Lebbah
2011	J	`jnl`	A Self-Organizing Map for mixed continuous and Categorical Data. Int. J. Comput. Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
2011	—	`book`	Fouille de données complexes. Complexité liée aux données multiples Fouille de données complexes Guillaume Cleuziou, Mustapha Lebbah, Arnaud Martin, Boutheina Ben Yaghlane
2011	—	`ch.`	Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes. Fouille de données complexes Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
2011	—	`conf`	Pondération et classification simultanée de données binaires et continues. EGC Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu
2011	B	`conf`	Probabilistic Self-Organizing Maps for multivariate sequences. IJCNN Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani
2011	—	`conf`	SOS-HMM: Self-Organizing Structure of Hidden Markov Model. ICANN (2) Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot
2011	J	`jnl`	Self-Organizing Tree Using Artificial Ants. J. Inf. Technol. Res. Hanene Azzag, Mustapha Lebbah
2011	—	`conf`	Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions. EGC Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot
2011	—	`conf`	Une nouvelle approche visuelle pour la classification hiérarchique et topologique. EGC Hanane Azzag, Mustapha Lebbah
2010	—	`conf`	Auto-organisation topologique et hiérarchique des données. EGC Hanane Azzag, Mustapha Lebbah
2010	C	`conf`	Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering. ICMLA Hanene Azzag, Mustapha Lebbah, Aymen Arfaoui
2010	—	`conf`	Sous-échantillonnage topographique par apprentissage semi-supervisé. EGC Mustapha Lebbah, Younès Bennani
2010	B	`conf`	Topographic under-sampling for unbalanced distributions. IJCNN Fatma Hamdi, Mustapha Lebbah, Younès Bennani
2010	—	`conf`	Topological Hierarchical Tree Using Artificial Ants. ICONIP (1) Mustapha Lebbah, Hanane Azzag
2010	J	`jnl`	Visualization and clustering of categorical data with probabilistic self-organizing map. Neural Comput. Appl. Mustapha Lebbah, Khalid Benabdeslem
2009	—	`conf`	A New Approach for Auto-organizing a Groups of Artificial Ants. ECAL (2) Hanane Azzag, Mustapha Lebbah
2009	—	`conf`	Caractérisation automatique des classes découvertes en classification non supervisée. EGC Nistor Grozavu, Younès Bennani, Mustapha Lebbah
2009	—	`conf`	Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. EGC (best of volume) Nistor Grozavu, Younès Bennani, Mustapha Lebbah
2009	B	`conf`	From variable weighting to cluster characterization in topographic unsupervised learning. IJCNN Nistor Grozavu, Younès Bennani, Mustapha Lebbah
2008	J	`jnl`	A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. Int. J. Comput. Intell. Appl. Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi
2008	B	`conf`	Clustering of Self-Organizing Map. ESANN Hanane Azzag, Mustapha Lebbah
2008	—	`conf`	Pondération locale des variables en apprentissage numérique non-supervisé. EGC Nistor Grozavu, Younès Bennani, Mustapha Lebbah
2008	C	`conf`	Probabilistic Mixed Topological Map for Categorical and Continuous Data. ICMLA Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
2008	C	`conf`	Relational Analysis for Consensus Clustering from Multiple Partitions. ICMLA Mustapha Lebbah, Younès Bennani, Hamid Benhadda
2008	—	`conf`	Segmentation hiérarchique des cartes topologiques. EGC Mustapha Lebbah, Hanane Azzag
2007	—	`conf`	Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique. EGC Khalid Benabdeslem, Mustapha Lebbah, Alexandre Aussem, Marilys Corbex
2007	B	`conf`	BeSOM : Bernoulli on Self-Organizing Map. IJCNN Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani
2007	—	`conf`	Combinaison des cartes topologiques mixtes et des machines à vecteurs de support : une application pour la prédiction de perte de poids chez les obèses. EGC Mohamed Ramzi Temanni, Mustapha Lebbah, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker
2006	—	`conf`	Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM. AAFD Mustapha Lebbah, Mohamed Ramzi Temanni, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker
2005	B	`conf`	Mixed Topological Map. ESANN Mustapha Lebbah, Aymeric Chazottes, Fouad Badran, Sylvie Thiria
2004	B	`conf`	Visualization and classification with categorical topological map. ESANN Mustapha Lebbah, Fouad Badran, Sylvie Thiria
2003	—	`—`	Carte topologique pour données qualitatives: application à la reconnaissance automatique de la densité du trafic routier. Mustapha Lebbah
2002	C	`conf`	Categorical Topological Map. ICANN Mustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria
2000	B	`conf`	Topological map for binary data. ESANN Mustapha Lebbah, Fouad Badran, Sylvie Thiria